diff --git a/be/src/core/data_type_serde/data_type_serde.cpp b/be/src/core/data_type_serde/data_type_serde.cpp
index 16526bc172b213..4dafca97aa3433 100644
--- a/be/src/core/data_type_serde/data_type_serde.cpp
+++ b/be/src/core/data_type_serde/data_type_serde.cpp
@@ -474,6 +474,24 @@ int64_t find_struct_child_index(const ::orc::Type& type, const std::string& fiel
     return -1;
 }
 
+struct RoundedOrcTimestamp {
+    int64_t seconds;
+    uint64_t microseconds;
+};
+
+RoundedOrcTimestamp round_orc_timestamp_to_microseconds(int64_t seconds, int64_t nanoseconds) {
+    constexpr int64_t NANOS_PER_SECOND = 1000000000;
+    constexpr int64_t NANOS_PER_MICROSECOND = 1000;
+    constexpr int64_t MICROS_PER_SECOND = 1000000;
+    DORIS_CHECK(nanoseconds >= 0 && nanoseconds < NANOS_PER_SECOND);
+    // Doris stores six fractional digits, so use half-up rounding and carry 999999500ns into the
+    // next second instead of silently truncating the ORC value.
+    const auto rounded_microseconds =
+            (nanoseconds + NANOS_PER_MICROSECOND / 2) / NANOS_PER_MICROSECOND;
+    return {.seconds = seconds + rounded_microseconds / MICROS_PER_SECOND,
+            .microseconds = cast_set<uint64_t>(rounded_microseconds % MICROS_PER_SECOND)};
+}
+
 Status decode_timestamp_orc_values(IColumn& nested_column, const OrcDecodedColumnView& orc_view,
                                    const cctz::time_zone& timezone) {
     const auto* orc_batch = dynamic_cast<const ::orc::TimestampVectorBatch*>(orc_view.batch);
@@ -493,8 +511,10 @@ Status decode_timestamp_orc_values(IColumn& nested_column, const OrcDecodedColum
         }
         auto& value =
                 reinterpret_cast<DateV2Value<DateTimeV2ValueType>&>(data[old_data_size + row]);
-        value.from_unixtime(orc_batch->data[source_row], timezone);
-        value.set_microsecond(cast_set<uint64_t>(orc_batch->nanoseconds[source_row] / 1000));
+        const auto timestamp = round_orc_timestamp_to_microseconds(
+                orc_batch->data[source_row], orc_batch->nanoseconds[source_row]);
+        value.from_unixtime(timestamp.seconds, timezone);
+        value.set_microsecond(timestamp.microseconds);
     }
     return Status::OK();
 }
@@ -518,8 +538,10 @@ Status decode_timestamp_tz_orc_values(IColumn& nested_column,
             continue;
         }
         auto& value = data[old_data_size + row];
-        value.from_unixtime(orc_batch->data[source_row], utc_time_zone);
-        value.set_microsecond(cast_set<uint64_t>(orc_batch->nanoseconds[source_row] / 1000));
+        const auto timestamp = round_orc_timestamp_to_microseconds(
+                orc_batch->data[source_row], orc_batch->nanoseconds[source_row]);
+        value.from_unixtime(timestamp.seconds, utc_time_zone);
+        value.set_microsecond(timestamp.microseconds);
     }
     return Status::OK();
 }
diff --git a/be/src/format_v2/orc/orc_reader.cpp b/be/src/format_v2/orc/orc_reader.cpp
index 9a2aeb538977dc..88462abbcdd03f 100644
--- a/be/src/format_v2/orc/orc_reader.cpp
+++ b/be/src/format_v2/orc/orc_reader.cpp
@@ -500,7 +500,15 @@ DateV2Value<DateTimeV2ValueType> datetime_v2_from_orc_millis(int64_t millis, int
         millis_remainder += 1000;
     }
     const auto extra_nanos = std::max<int32_t>(nanos_tail, 0);
-    const auto microseconds = cast_set<uint64_t>(millis_remainder * 1000 + extra_nanos / 1000);
+    constexpr int64_t NANOS_PER_MICROSECOND = 1000;
+    constexpr int64_t MICROS_PER_SECOND = 1000000;
+    // Stripe statistics split the timestamp into milliseconds and the remaining nanoseconds. Use
+    // the same half-up rule as row decoding so zone-map pruning observes identical values.
+    const auto rounded_extra_microseconds =
+            (extra_nanos + NANOS_PER_MICROSECOND / 2) / NANOS_PER_MICROSECOND;
+    const auto microseconds_with_carry = millis_remainder * 1000 + rounded_extra_microseconds;
+    seconds += microseconds_with_carry / MICROS_PER_SECOND;
+    const auto microseconds = cast_set<uint64_t>(microseconds_with_carry % MICROS_PER_SECOND);
     DateV2Value<DateTimeV2ValueType> value;
     value.from_unixtime(seconds, timezone);
     value.set_microsecond(microseconds);
@@ -2111,6 +2119,16 @@ Status OrcReader::get_aggregate_result(const format::FileAggregateRequest& reque
             return Status::NotSupported(
                     "ORC TIMESTAMP min/max statistics are unsafe before writer version ORC-135");
         }
+        if (leaf_type->getKind() == ::orc::TypeKind::TIMESTAMP_INSTANT &&
+            !_enable_mapping_timestamp_tz) {
+            // Raw timestamp order does not preserve local DATETIMEV2 order across a DST fold.
+            int32_t fixed_offset_seconds = 0;
+            if (!TimezoneUtils::try_get_fixed_offset_seconds(_state->timezone_obj,
+                                                             &fixed_offset_seconds)) {
+                return Status::NotSupported(
+                        "ORC timestamp min/max pushdown requires a fixed-offset timezone");
+            }
+        }
 
         auto& aggregate_column = result->columns[column_idx];
         aggregate_column.projection = request_column.projection;
diff --git a/be/src/format_v2/orc/orc_search_argument.cpp b/be/src/format_v2/orc/orc_search_argument.cpp
index 244109c12ce6e6..5cee9cf46c116c 100644
--- a/be/src/format_v2/orc/orc_search_argument.cpp
+++ b/be/src/format_v2/orc/orc_search_argument.cpp
@@ -50,6 +50,7 @@
 #ifdef BE_TEST
 #include "util/debug_points.h"
 #endif
+#include "util/timezone_utils.h"
 
 namespace doris::format::orc {
 namespace {
@@ -722,6 +723,8 @@ std::optional<::orc::Literal> make_orc_literal(const OrcSargColumn& sarg_column,
     case ::orc::PredicateDataType::TIMESTAMP: {
         DORIS_CHECK(sarg_column.orc_type != nullptr);
         static const cctz::time_zone utc0 = cctz::utc_time_zone();
+        // Plain TIMESTAMP statistics use UTC coordinates for wall-clock values. TIMESTAMP_INSTANT
+        // literals instead represent instants derived from the session-local DATETIMEV2 value.
         const auto& literal_timezone =
                 sarg_column.orc_type->getKind() == ::orc::TypeKind::TIMESTAMP_INSTANT ? timezone
                                                                                       : utc0;
@@ -978,6 +981,15 @@ std::optional<OrcSargComparisonLiteral> make_comparison_literal_for_sarg(
     if (!literal.has_value()) {
         return std::nullopt;
     }
+    if (column.predicate_type == ::orc::PredicateDataType::TIMESTAMP) {
+        const auto timestamp = literal->getTimestamp();
+        // ORC reconstructs negative timestamp statistics with truncating division, which can
+        // produce a non-canonical nanos component. The exact epoch is unsafe too because its
+        // half-up lower bound is -500ns. Leave these predicates to Doris row filtering.
+        if (timestamp.second < 0 || (timestamp.second == 0 && timestamp.nanos == 0)) {
+            return std::nullopt;
+        }
+    }
     return OrcSargComparisonLiteral {
             .literal = *literal,
             .normalized_op = normalized_op,
@@ -1052,6 +1064,12 @@ std::optional<std::vector<::orc::Literal>> make_in_literals_for_sarg(
         if (!literal.has_value()) {
             return std::nullopt;
         }
+        if (column.predicate_type == ::orc::PredicateDataType::TIMESTAMP) {
+            const auto timestamp = literal->getTimestamp();
+            if (timestamp.second < 0 || (timestamp.second == 0 && timestamp.nanos == 0)) {
+                return std::nullopt;
+            }
+        }
         literals.push_back(*literal);
     }
     if (literals.empty()) {
@@ -1177,6 +1195,145 @@ OrcSargNode make_not_node(OrcSargNode child) {
     };
 }
 
+OrcSargNode make_literal_node(OrcSargNodeKind kind, const OrcSargColumn& column,
+                              ::orc::Literal literal) {
+    std::vector<::orc::Literal> literals;
+    literals.push_back(std::move(literal));
+    return OrcSargNode {
+            .kind = kind,
+            .column = column,
+            .literals = std::move(literals),
+            .children = {},
+    };
+}
+
+OrcSargNode make_and_node(std::vector<OrcSargNode> children) {
+    DORIS_CHECK(!children.empty());
+    return OrcSargNode {
+            .kind = OrcSargNodeKind::AND,
+            .column = std::nullopt,
+            .literals = {},
+            .children = std::move(children),
+    };
+}
+
+::orc::Literal shift_timestamp_literal(const ::orc::Literal& literal, int32_t nanos_delta) {
+    constexpr int64_t NANOS_PER_SECOND = 1000000000;
+    const auto timestamp = literal.getTimestamp();
+    int64_t seconds = timestamp.second;
+    int64_t nanos = timestamp.nanos + nanos_delta;
+    if (nanos < 0) {
+        --seconds;
+        nanos += NANOS_PER_SECOND;
+    } else if (nanos >= NANOS_PER_SECOND) {
+        ++seconds;
+        nanos -= NANOS_PER_SECOND;
+    }
+    return {seconds, cast_set<int32_t>(nanos)};
+}
+
+::orc::Literal floor_timestamp_literal_to_millis(const ::orc::Literal& literal) {
+    constexpr int32_t NANOS_PER_MILLISECOND = 1000000;
+    const auto timestamp = literal.getTimestamp();
+    return {timestamp.second, timestamp.nanos / NANOS_PER_MILLISECOND * NANOS_PER_MILLISECOND};
+}
+
+::orc::Literal ceil_timestamp_literal_to_millis(const ::orc::Literal& literal) {
+    constexpr int32_t NANOS_PER_MILLISECOND = 1000000;
+    const auto timestamp = literal.getTimestamp();
+    const auto remainder = timestamp.nanos % NANOS_PER_MILLISECOND;
+    if (remainder == 0) {
+        return literal;
+    }
+    return shift_timestamp_literal(literal, NANOS_PER_MILLISECOND - remainder);
+}
+
+std::pair<::orc::Literal, ::orc::Literal> timestamp_rounding_bounds(const ::orc::Literal& literal) {
+    constexpr int32_t HALF_MICROSECOND_NANOS = 500;
+    // All raw ORC values in [lower, upper) round half-up to this Doris microsecond. Round these
+    // boundaries toward the side that enlarges the SARG match set because ORC statistics retain
+    // only millisecond precision.
+    return {shift_timestamp_literal(literal, -HALF_MICROSECOND_NANOS),
+            shift_timestamp_literal(literal, HALF_MICROSECOND_NANOS)};
+}
+
+OrcSargNode make_timestamp_equals_node(const OrcSargColumn& column, const ::orc::Literal& literal) {
+    const auto [lower_bound, upper_bound] = timestamp_rounding_bounds(literal);
+    std::vector<OrcSargNode> children;
+    children.push_back(make_not_node(make_literal_node(
+            OrcSargNodeKind::LESS_THAN, column, floor_timestamp_literal_to_millis(lower_bound))));
+    children.push_back(make_literal_node(OrcSargNodeKind::LESS_THAN, column,
+                                         ceil_timestamp_literal_to_millis(upper_bound)));
+    return make_and_node(std::move(children));
+}
+
+std::optional<OrcSargNode> make_timestamp_comparison_node(const OrcSargComparison& comparison) {
+    const auto [lower_bound, upper_bound] = timestamp_rounding_bounds(comparison.literal);
+    switch (comparison.normalized_op) {
+    case TExprOpcode::GE:
+        return make_not_node(make_literal_node(OrcSargNodeKind::LESS_THAN, comparison.column,
+                                               floor_timestamp_literal_to_millis(lower_bound)));
+    case TExprOpcode::GT:
+        return make_not_node(make_literal_node(OrcSargNodeKind::LESS_THAN, comparison.column,
+                                               floor_timestamp_literal_to_millis(upper_bound)));
+    case TExprOpcode::LE:
+        return make_literal_node(OrcSargNodeKind::LESS_THAN, comparison.column,
+                                 ceil_timestamp_literal_to_millis(upper_bound));
+    case TExprOpcode::LT:
+        return make_literal_node(OrcSargNodeKind::LESS_THAN, comparison.column,
+                                 ceil_timestamp_literal_to_millis(lower_bound));
+    case TExprOpcode::EQ:
+        return make_timestamp_equals_node(comparison.column, comparison.literal);
+    case TExprOpcode::NE:
+        return std::nullopt;
+    default:
+        DORIS_CHECK(false) << "Unsupported normalized ORC timestamp SARG comparison op "
+                           << comparison.normalized_op;
+        __builtin_unreachable();
+    }
+}
+
+OrcSargNode make_timestamp_in_node(const OrcSargColumn& column,
+                                   const std::vector<::orc::Literal>& literals) {
+    DORIS_CHECK(!literals.empty());
+    if (literals.size() == 1) {
+        return make_timestamp_equals_node(column, literals.front());
+    }
+    auto min_literal = literals.front();
+    auto max_literal = literals.front();
+    for (const auto& literal : literals) {
+        if (literal.getTimestamp() < min_literal.getTimestamp()) {
+            min_literal = literal;
+        }
+        if (max_literal.getTimestamp() < literal.getTimestamp()) {
+            max_literal = literal;
+        }
+    }
+    const auto lower_bound =
+            floor_timestamp_literal_to_millis(timestamp_rounding_bounds(min_literal).first);
+    const auto upper_bound =
+            ceil_timestamp_literal_to_millis(timestamp_rounding_bounds(max_literal).second);
+    std::vector<OrcSargNode> children;
+    children.push_back(
+            make_not_node(make_literal_node(OrcSargNodeKind::LESS_THAN, column, lower_bound)));
+    children.push_back(make_literal_node(OrcSargNodeKind::LESS_THAN, column, upper_bound));
+    return make_and_node(std::move(children));
+}
+
+bool can_emit_timestamp_sarg(const OrcSargColumn& column, const cctz::time_zone& timezone) {
+    if (column.predicate_type != ::orc::PredicateDataType::TIMESTAMP) {
+        return true;
+    }
+    DORIS_CHECK(column.orc_type != nullptr);
+    if (column.orc_type->getKind() == ::orc::TypeKind::TIMESTAMP) {
+        return true;
+    }
+    // An unmapped TIMESTAMP_INSTANT is decoded to a local DATETIMEV2. A named timezone may map
+    // that local timestamp to multiple instants during a DST fold.
+    int32_t offset_seconds = 0;
+    return TimezoneUtils::try_get_fixed_offset_seconds(timezone, &offset_seconds);
+}
+
 OrcSargNode make_comparison_node(OrcSargComparison comparison) {
     OrcSargNodeKind kind;
     bool negate = false;
@@ -1208,14 +1365,7 @@ OrcSargNode make_comparison_node(OrcSargComparison comparison) {
         __builtin_unreachable();
     }
 
-    std::vector<::orc::Literal> literals;
-    literals.push_back(std::move(comparison.literal));
-    OrcSargNode node {
-            .kind = kind,
-            .column = comparison.column,
-            .literals = std::move(literals),
-            .children = {},
-    };
+    auto node = make_literal_node(kind, comparison.column, std::move(comparison.literal));
     if (negate) {
         return make_not_node(std::move(node));
     }
@@ -1308,12 +1458,12 @@ class OrcSargCompiler {
         case TExprOpcode::LT:
         case TExprOpcode::EQ:
         case TExprOpcode::NE:
-            return compile_comparison(*normalized);
+            return compile_comparison(*normalized, is_negated);
         case TExprOpcode::EQ_FOR_NULL:
             return compile_null_safe_equal(*normalized);
         case TExprOpcode::FILTER_IN:
         case TExprOpcode::FILTER_NOT_IN:
-            return compile_in(*normalized);
+            return compile_in(*normalized, is_negated);
         case TExprOpcode::INVALID_OPCODE:
             return compile_is_null(*normalized);
         default:
@@ -1383,7 +1533,7 @@ class OrcSargCompiler {
         return make_not_node(std::move(*child));
     }
 
-    std::optional<OrcSargNode> compile_comparison(const VExprSPtr& expr) const {
+    std::optional<OrcSargNode> compile_comparison(const VExprSPtr& expr, bool is_negated) const {
         if (expr->node_type() == TExprNodeType::NULL_AWARE_BINARY_PRED) {
             return std::nullopt;
         }
@@ -1391,6 +1541,14 @@ class OrcSargCompiler {
         if (!comparison.has_value()) {
             return std::nullopt;
         }
+        if (comparison->column.predicate_type == ::orc::PredicateDataType::TIMESTAMP) {
+            // Timestamp comparisons use a conservative millisecond envelope. Negating it turns
+            // false-positive margin into false negatives, so leave exact negation to Doris.
+            if (is_negated || !can_emit_timestamp_sarg(comparison->column, _timezone)) {
+                return std::nullopt;
+            }
+            return make_timestamp_comparison_node(*comparison);
+        }
         return make_comparison_node(std::move(*comparison));
     }
 
@@ -1404,10 +1562,16 @@ class OrcSargCompiler {
         if (!comparison.has_value()) {
             return std::nullopt;
         }
+        if (comparison->column.predicate_type == ::orc::PredicateDataType::TIMESTAMP) {
+            if (!can_emit_timestamp_sarg(comparison->column, _timezone)) {
+                return std::nullopt;
+            }
+            return make_timestamp_equals_node(comparison->column, comparison->literal);
+        }
         return make_comparison_node(std::move(*comparison));
     }
 
-    std::optional<OrcSargNode> compile_in(const VExprSPtr& expr) const {
+    std::optional<OrcSargNode> compile_in(const VExprSPtr& expr, bool is_negated) const {
         if (expr->node_type() == TExprNodeType::NULL_AWARE_IN_PRED || expr->children().size() < 2) {
             return std::nullopt;
         }
@@ -1421,6 +1585,14 @@ class OrcSargCompiler {
         if (!literals.has_value()) {
             return std::nullopt;
         }
+        if (column->predicate_type == ::orc::PredicateDataType::TIMESTAMP) {
+            // NOT IN negates the conservative equality envelopes and is unsafe for pruning.
+            if (is_negated || expr->op() == TExprOpcode::FILTER_NOT_IN ||
+                !can_emit_timestamp_sarg(*column, _timezone)) {
+                return std::nullopt;
+            }
+            return make_timestamp_in_node(*column, *literals);
+        }
         auto node = make_in_node(*column, std::move(*literals));
         if (expr->op() == TExprOpcode::FILTER_NOT_IN) {
             node = make_not_node(std::move(node));
diff --git a/be/src/format_v2/parquet/parquet_reader.cpp b/be/src/format_v2/parquet/parquet_reader.cpp
index 753b3628bfa19b..0bcff2fc7e81d1 100644
--- a/be/src/format_v2/parquet/parquet_reader.cpp
+++ b/be/src/format_v2/parquet/parquet_reader.cpp
@@ -42,6 +42,7 @@
 #include "format_v2/parquet/reader/column_reader.h"
 #include "io/io_common.h"
 #include "runtime/runtime_state.h"
+#include "util/timezone_utils.h"
 
 namespace doris::format::parquet {
 
@@ -52,6 +53,7 @@ struct ParquetReaderScanState {
     ParquetScanScheduler scheduler;
     const RuntimeState* runtime_state = nullptr;
     const cctz::time_zone* timezone = nullptr;
+    std::optional<cctz::time_zone> int96_timezone;
     bool enable_bloom_filter = false;
     bool enable_page_cache = false;
     bool enable_strict_mode = false;
@@ -328,10 +330,11 @@ ParquetReader::ParquetReader(std::shared_ptr<io::FileSystemProperties>& system_p
                              std::unique_ptr<io::FileDescription>& file_description,
                              std::shared_ptr<io::IOContext> io_ctx, RuntimeProfile* profile,
                              std::optional<format::GlobalRowIdContext> global_rowid_context,
-                             bool enable_mapping_timestamp_tz)
+                             bool enable_mapping_timestamp_tz, std::string hive_parquet_time_zone)
         : FileReader(system_properties, file_description, io_ctx, profile),
           _global_rowid_context(global_rowid_context),
-          _enable_mapping_timestamp_tz(enable_mapping_timestamp_tz) {}
+          _enable_mapping_timestamp_tz(enable_mapping_timestamp_tz),
+          _hive_parquet_time_zone(std::move(hive_parquet_time_zone)) {}
 
 ParquetReader::~ParquetReader() = default;
 
@@ -350,6 +353,15 @@ Status ParquetReader::init(RuntimeState* state) {
             state != nullptr && state->query_options().enable_parquet_filter_by_bloom_filter;
     _state->enable_page_cache =
             state != nullptr && state->query_options().enable_parquet_file_page_cache;
+    if (!_hive_parquet_time_zone.empty()) {
+        cctz::time_zone int96_timezone;
+        if (!TimezoneUtils::find_cctz_time_zone(_hive_parquet_time_zone, int96_timezone)) {
+            return Status::InvalidArgument("Invalid hive.parquet.time-zone: {}",
+                                           _hive_parquet_time_zone);
+        }
+        _state->int96_timezone = int96_timezone;
+        _state->scheduler.set_int96_timezone(&*_state->int96_timezone);
+    }
     if (state != nullptr) {
         _state->runtime_state = state;
         _state->timezone = &state->timezone_obj();
@@ -637,7 +649,8 @@ Status ParquetReader::get_aggregate_result(const format::FileAggregateRequest& r
                     row_group, _state->file_context.schema->num_columns(),
                     &row_group_plan.page_skip_plans, _parquet_profile.page_skip_profile(),
                     _state->timezone, _state->enable_strict_mode,
-                    _parquet_profile.scan_profile().column_reader_profile);
+                    _parquet_profile.scan_profile().column_reader_profile,
+                    _state->int96_timezone ? &*_state->int96_timezone : nullptr);
             std::unique_ptr<ParquetColumnReader> shape_reader;
             RETURN_IF_ERROR(column_reader_factory.create_count_shape_reader(
                     root_schema, &count_projection, &shape_reader));
diff --git a/be/src/format_v2/parquet/parquet_reader.h b/be/src/format_v2/parquet/parquet_reader.h
index 6c8e88cc27a9b6..24794d80692763 100644
--- a/be/src/format_v2/parquet/parquet_reader.h
+++ b/be/src/format_v2/parquet/parquet_reader.h
@@ -17,6 +17,7 @@
 
 #include <memory>
 #include <optional>
+#include <string>
 #include <vector>
 
 #include "common/status.h"
@@ -46,7 +47,8 @@ class ParquetReader : public format::FileReader {
                   std::unique_ptr<io::FileDescription>& file_description,
                   std::shared_ptr<io::IOContext> io_ctx, RuntimeProfile* profile,
                   std::optional<format::GlobalRowIdContext> global_rowid_context = std::nullopt,
-                  bool enable_mapping_timestamp_tz = false);
+                  bool enable_mapping_timestamp_tz = false,
+                  std::string hive_parquet_time_zone = "");
     ~ParquetReader() override;
 
     Status init(RuntimeState* state) override;
@@ -89,6 +91,7 @@ class ParquetReader : public format::FileReader {
     std::optional<format::GlobalRowIdContext> _global_rowid_context; // global RowId context
     size_t _batch_size = ParquetScanScheduler::DEFAULT_READ_BATCH_SIZE;
     bool _enable_mapping_timestamp_tz = false; // whether UTC timestamps are mapped to TIMESTAMPTZ
+    std::string _hive_parquet_time_zone;       // explicit INT96 timezone; empty disables conversion
 };
 
 } // namespace doris::format::parquet
diff --git a/be/src/format_v2/parquet/parquet_scan.cpp b/be/src/format_v2/parquet/parquet_scan.cpp
index 1abddc777aa442..0626faedce17fd 100644
--- a/be/src/format_v2/parquet/parquet_scan.cpp
+++ b/be/src/format_v2/parquet/parquet_scan.cpp
@@ -714,8 +714,8 @@ Status ParquetScanScheduler::open_next_row_group(
 
     ParquetColumnReaderFactory column_reader_factory(
             _current_row_group, file_context.schema->num_columns(), &row_group_plan.page_skip_plans,
-            _page_skip_profile, _timezone, _enable_strict_mode,
-            _scan_profile.column_reader_profile);
+            _page_skip_profile, _timezone, _enable_strict_mode, _scan_profile.column_reader_profile,
+            _int96_timezone);
     for (const auto& col : request.predicate_columns) {
         const auto local_id = col.local_id();
         if (local_id == format::ROW_POSITION_COLUMN_ID) {
diff --git a/be/src/format_v2/parquet/parquet_scan.h b/be/src/format_v2/parquet/parquet_scan.h
index c656b146cefeaa..adcb8b174abe24 100644
--- a/be/src/format_v2/parquet/parquet_scan.h
+++ b/be/src/format_v2/parquet/parquet_scan.h
@@ -125,6 +125,7 @@ class ParquetScanScheduler {
     }
     void set_condition_cache_context(std::shared_ptr<ConditionCacheContext> ctx);
     void set_timezone(const cctz::time_zone* timezone) { _timezone = timezone; }
+    void set_int96_timezone(const cctz::time_zone* timezone) { _int96_timezone = timezone; }
     void set_enable_strict_mode(bool enable_strict_mode) {
         _enable_strict_mode = enable_strict_mode;
     }
@@ -218,6 +219,7 @@ class ParquetScanScheduler {
     int64_t _merge_read_slice_size = -1;
     std::optional<format::GlobalRowIdContext> _global_rowid_context;
     const cctz::time_zone* _timezone = nullptr;
+    const cctz::time_zone* _int96_timezone = nullptr;
     bool _enable_strict_mode = false;
     int64_t _batch_size = DEFAULT_READ_BATCH_SIZE;
     std::shared_ptr<ConditionCacheContext> _condition_cache_ctx;
diff --git a/be/src/format_v2/parquet/reader/column_reader.cpp b/be/src/format_v2/parquet/reader/column_reader.cpp
index 352fbbd7c3d215..b88c9ebdf55514 100644
--- a/be/src/format_v2/parquet/reader/column_reader.cpp
+++ b/be/src/format_v2/parquet/reader/column_reader.cpp
@@ -210,13 +210,15 @@ ParquetColumnReaderFactory::ParquetColumnReaderFactory(
         std::shared_ptr<::parquet::RowGroupReader> row_group, int num_leaf_columns,
         const std::map<int, ParquetPageSkipPlan>* page_skip_plans,
         ParquetPageSkipProfile page_skip_profile, const cctz::time_zone* timezone,
-        bool enable_strict_mode, ParquetColumnReaderProfile column_reader_profile)
+        bool enable_strict_mode, ParquetColumnReaderProfile column_reader_profile,
+        const cctz::time_zone* int96_timezone)
         : _row_group(std::move(row_group)),
           _record_readers(static_cast<size_t>(num_leaf_columns)),
           _dictionary_record_readers(static_cast<size_t>(num_leaf_columns)),
           _page_skip_plans(page_skip_plans),
           _page_skip_profile(page_skip_profile),
           _timezone(timezone),
+          _int96_timezone(int96_timezone),
           _enable_strict_mode(enable_strict_mode),
           _column_reader_profile(column_reader_profile) {}
 
@@ -243,7 +245,7 @@ Status ParquetColumnReaderFactory::make_scalar_column_reader(
                                : nullptr;
     *reader = std::make_unique<ScalarColumnReader>(column_schema, std::move(record_reader),
                                                    page_skip_plan, _timezone, _enable_strict_mode,
-                                                   _column_reader_profile);
+                                                   _column_reader_profile, _int96_timezone);
     return Status::OK();
 }
 
diff --git a/be/src/format_v2/parquet/reader/column_reader.h b/be/src/format_v2/parquet/reader/column_reader.h
index 51dbd44c11c226..ae56bfff1268c5 100644
--- a/be/src/format_v2/parquet/reader/column_reader.h
+++ b/be/src/format_v2/parquet/reader/column_reader.h
@@ -156,7 +156,8 @@ class ParquetColumnReaderFactory {
                                ParquetPageSkipProfile page_skip_profile = {},
                                const cctz::time_zone* timezone = nullptr,
                                bool enable_strict_mode = false,
-                               ParquetColumnReaderProfile column_reader_profile = {});
+                               ParquetColumnReaderProfile column_reader_profile = {},
+                               const cctz::time_zone* int96_timezone = nullptr);
 
     Status create(const ParquetColumnSchema& column_schema,
                   const format::LocalColumnIndex* projection,
@@ -225,6 +226,7 @@ class ParquetColumnReaderFactory {
             nullptr;                                   // page-index pruning result
     ParquetPageSkipProfile _page_skip_profile;         // page skip profile
     const cctz::time_zone* _timezone = nullptr;        // timezone
+    const cctz::time_zone* _int96_timezone = nullptr;  // explicit timezone for legacy INT96
     bool _enable_strict_mode = false;                  // strict mode
     ParquetColumnReaderProfile _column_reader_profile; // column reader profile
 };
diff --git a/be/src/format_v2/parquet/reader/parquet_leaf_reader.cpp b/be/src/format_v2/parquet/reader/parquet_leaf_reader.cpp
index fd261ef5219d27..7c217fd7765a0e 100644
--- a/be/src/format_v2/parquet/reader/parquet_leaf_reader.cpp
+++ b/be/src/format_v2/parquet/reader/parquet_leaf_reader.cpp
@@ -376,7 +376,15 @@ Status ParquetLeafReader::append_values(const ParquetLeafBatch& batch, int64_t r
     view.decimal_scale = _type_descriptor.decimal_scale;
     view.fixed_length = _type_descriptor.fixed_length;
     view.timestamp_is_adjusted_to_utc = _type_descriptor.timestamp_is_adjusted_to_utc;
-    view.timezone = _timezone;
+    // INT96 has no timezone annotation, so the writer's convention cannot be inferred from the
+    // file. Match Trino's explicit hive.parquet.time-zone behavior instead of guessing from
+    // created_by or using the SQL session timezone:
+    // - With no catalog property, keep the raw wall clock. For example, raw 2021-01-01 10:11 in a
+    //   Trino/UTC file stays 10:11 instead of becoming 18:11 in an Asia/Shanghai session.
+    // - With hive.parquet.time-zone=Asia/Shanghai, interpret a legacy Hive-normalized raw 02:11 as
+    //   a UTC epoch and convert it back to the original local wall clock 10:11.
+    // TIMESTAMPTZ intentionally ignores this pointer in its SerDe and keeps the same UTC instant.
+    view.timezone = batch._value_kind == DecodedValueKind::INT96 ? _int96_timezone : _timezone;
     view.enable_strict_mode = _enable_strict_mode;
     view.null_map = null_map == nullptr || null_map->empty() ? nullptr : null_map->data();
     const bool read_dense_for_nullable = batch._read_dense_for_nullable && view.null_map != nullptr;
@@ -469,7 +477,8 @@ ParquetLeafReader::ParquetLeafReader(
         std::shared_ptr<::parquet::internal::RecordReader> record_reader,
         ParquetColumnReaderProfile profile, const cctz::time_zone* timezone,
         bool enable_strict_mode,
-        std::function<Status(MutableColumnPtr&, const DecodedColumnView&)> decoded_value_appender)
+        std::function<Status(MutableColumnPtr&, const DecodedColumnView&)> decoded_value_appender,
+        const cctz::time_zone* int96_timezone)
         : _descriptor(descriptor),
           _type_descriptor(type_descriptor),
           _type(std::move(type)),
@@ -477,6 +486,7 @@ ParquetLeafReader::ParquetLeafReader(
           _record_reader(std::move(record_reader)),
           _profile(profile),
           _timezone(timezone),
+          _int96_timezone(int96_timezone),
           _enable_strict_mode(enable_strict_mode),
           _decoded_value_appender(std::move(decoded_value_appender)) {}
 
@@ -736,7 +746,8 @@ Status ParquetLeafReader::build_nested_batch_from_leaf_batch(
     batch->values_column = value_type->create_column();
     if (values_written > 0) {
         ParquetLeafReader value_reader(_descriptor, _type_descriptor, value_type, _name,
-                                       _record_reader, _profile, _timezone, _enable_strict_mode);
+                                       _record_reader, _profile, _timezone, _enable_strict_mode,
+                                       nullptr, _int96_timezone);
         RETURN_IF_ERROR(value_reader.append_values(leaf_batch, values_written, &value_nulls,
                                                    batch->values_column));
     }
diff --git a/be/src/format_v2/parquet/reader/parquet_leaf_reader.h b/be/src/format_v2/parquet/reader/parquet_leaf_reader.h
index b396b35fd1f32c..b54b04ada17ad7 100644
--- a/be/src/format_v2/parquet/reader/parquet_leaf_reader.h
+++ b/be/src/format_v2/parquet/reader/parquet_leaf_reader.h
@@ -103,7 +103,8 @@ class ParquetLeafReader {
                       ParquetColumnReaderProfile profile = {},
                       const cctz::time_zone* timezone = nullptr, bool enable_strict_mode = false,
                       std::function<Status(MutableColumnPtr&, const DecodedColumnView&)>
-                              decoded_value_appender = nullptr);
+                              decoded_value_appender = nullptr,
+                      const cctz::time_zone* int96_timezone = nullptr);
 
     Status read_batch(int64_t batch_rows, ParquetLeafBatch* batch, int64_t* rows_read) const;
 
@@ -166,7 +167,8 @@ class ParquetLeafReader {
             _record_reader;                     // Arrow physical column reader (shared ownership)
     ParquetColumnReaderProfile _profile;        // profile counters
     const cctz::time_zone* _timezone = nullptr; // timezone for timestamp conversion
-    bool _enable_strict_mode = false;           // strict mode for type mismatch errors
+    const cctz::time_zone* _int96_timezone = nullptr;
+    bool _enable_strict_mode = false; // strict mode for type mismatch errors
     std::function<Status(MutableColumnPtr&, const DecodedColumnView&)> _decoded_value_appender;
 };
 
diff --git a/be/src/format_v2/parquet/reader/scalar_column_reader.cpp b/be/src/format_v2/parquet/reader/scalar_column_reader.cpp
index bdbd9ac8779e05..8ee1236a9e5401 100644
--- a/be/src/format_v2/parquet/reader/scalar_column_reader.cpp
+++ b/be/src/format_v2/parquet/reader/scalar_column_reader.cpp
@@ -121,13 +121,15 @@ ScalarColumnReader::ScalarColumnReader(
         const ParquetColumnSchema& column_schema,
         std::shared_ptr<::parquet::internal::RecordReader> record_reader,
         const ParquetPageSkipPlan* page_skip_plan, const cctz::time_zone* timezone,
-        bool enable_strict_mode, ParquetColumnReaderProfile profile)
+        bool enable_strict_mode, ParquetColumnReaderProfile profile,
+        const cctz::time_zone* int96_timezone)
         : ParquetColumnReader(column_schema, column_schema.type, profile),
           _descriptor(column_schema.descriptor),
           _type_descriptor(column_schema.type_descriptor),
           _record_reader(std::move(record_reader)),
           _page_skip_plan(page_skip_plan),
           _timezone(timezone),
+          _int96_timezone(int96_timezone),
           _enable_strict_mode(enable_strict_mode),
           _nested_batch(std::make_unique<ParquetNestedScalarBatch>()) {}
 
diff --git a/be/src/format_v2/parquet/reader/scalar_column_reader.h b/be/src/format_v2/parquet/reader/scalar_column_reader.h
index 5342baa803eca0..1bac5e8c968769 100644
--- a/be/src/format_v2/parquet/reader/scalar_column_reader.h
+++ b/be/src/format_v2/parquet/reader/scalar_column_reader.h
@@ -50,7 +50,8 @@ class ScalarColumnReader final : public ParquetColumnReader {
                        std::shared_ptr<::parquet::internal::RecordReader> record_reader,
                        const ParquetPageSkipPlan* page_skip_plan = nullptr,
                        const cctz::time_zone* timezone = nullptr, bool enable_strict_mode = false,
-                       ParquetColumnReaderProfile profile = {});
+                       ParquetColumnReaderProfile profile = {},
+                       const cctz::time_zone* int96_timezone = nullptr);
     ~ScalarColumnReader() override;
 
     Status read(int64_t rows, MutableColumnPtr& column, int64_t* rows_read) override;
@@ -88,7 +89,8 @@ class ScalarColumnReader final : public ParquetColumnReader {
 
     ParquetLeafReader leaf_reader() const {
         return ParquetLeafReader(_descriptor, _type_descriptor, _type, _name, _record_reader,
-                                 _profile, _timezone, _enable_strict_mode);
+                                 _profile, _timezone, _enable_strict_mode, nullptr,
+                                 _int96_timezone);
     }
 
     void advance_rows_read(int64_t rows);
@@ -102,8 +104,9 @@ class ScalarColumnReader final : public ParquetColumnReader {
     const ParquetPageSkipPlan* _page_skip_plan =
             nullptr;                            // page-index pruning result (may be nullptr)
     const cctz::time_zone* _timezone = nullptr; // timezone
-    bool _enable_strict_mode = false;           // strict mode
-    int64_t _row_group_rows_read = 0;           // rows read in the current row group (cursor)
+    const cctz::time_zone* _int96_timezone = nullptr;
+    bool _enable_strict_mode = false; // strict mode
+    int64_t _row_group_rows_read = 0; // rows read in the current row group (cursor)
     std::unique_ptr<ParquetNestedScalarBatch> _nested_batch; // intermediate result for nested reads
 };
 
diff --git a/be/src/format_v2/table_reader.cpp b/be/src/format_v2/table_reader.cpp
index 5f37538c1f2639..e31a6f50bd8c27 100644
--- a/be/src/format_v2/table_reader.cpp
+++ b/be/src/format_v2/table_reader.cpp
@@ -753,10 +753,14 @@ Status TableReader::create_file_reader(std::unique_ptr<FileReader>* reader) {
     const bool enable_mapping_timestamp_tz = _scan_params != nullptr &&
                                              _scan_params->__isset.enable_mapping_timestamp_tz &&
                                              _scan_params->enable_mapping_timestamp_tz;
+    const std::string hive_parquet_time_zone =
+            _scan_params != nullptr && _scan_params->__isset.hive_parquet_time_zone
+                    ? _scan_params->hive_parquet_time_zone
+                    : "";
     if (_format == FileFormat::PARQUET) {
         *reader = std::make_unique<format::parquet::ParquetReader>(
                 _system_properties, _current_task->data_file, _io_ctx, _scanner_profile,
-                _global_rowid_context, enable_mapping_timestamp_tz);
+                _global_rowid_context, enable_mapping_timestamp_tz, hive_parquet_time_zone);
         return Status::OK();
     }
     if (_format == FileFormat::ORC) {
diff --git a/be/test/format_v2/orc/orc_reader_test.cpp b/be/test/format_v2/orc/orc_reader_test.cpp
index 6809186f115b59..f572f260bc4659 100644
--- a/be/test/format_v2/orc/orc_reader_test.cpp
+++ b/be/test/format_v2/orc/orc_reader_test.cpp
@@ -275,6 +275,7 @@ class TableSlotRef : public VSlotRef {
 
 constexpr int64_t ROW_COUNT = 5;
 constexpr int64_t PRIMITIVE_ROW_COUNT = 3;
+constexpr int64_t TIMESTAMP_ROUNDING_ROW_COUNT = 4;
 constexpr int64_t COMPLEX_ROW_COUNT = 3;
 constexpr int64_t DEEP_NESTED_ROW_COUNT = 4;
 constexpr int64_t DEEP_NESTED_BATCH_CAPACITY = 16;
@@ -2475,13 +2476,20 @@ class NullableGreaterThanExpr final : public VExpr {
     using ValueType = typename PrimitiveTypeTraits<Primitive>::CppType;
 
     NullableGreaterThanExpr(int column_id, DataTypePtr type, const Field& value,
-                            std::string column_name, bool literal_on_left = false)
+                            std::string column_name, bool literal_on_left = false,
+                            TExprOpcode::type comparison_op = TExprOpcode::GT)
             : VExpr(std::make_shared<DataTypeUInt8>(), false),
               _column_id(column_id),
               _value(value.get<Primitive>()),
+              _comparison_op(comparison_op),
               _expr_name("NullableGreaterThanExpr") {
         _node_type = TExprNodeType::BINARY_PRED;
-        _opcode = literal_on_left ? TExprOpcode::LT : TExprOpcode::GT;
+        if (literal_on_left) {
+            DORIS_CHECK(comparison_op == TExprOpcode::GT);
+            _opcode = TExprOpcode::LT;
+        } else {
+            _opcode = comparison_op;
+        }
         auto slot = TableSlotRef::create_shared(column_id, column_id, -1, make_nullable(type),
                                                 column_name);
         auto literal = TableLiteral::create_shared(std::move(type), value);
@@ -2504,8 +2512,24 @@ class NullableGreaterThanExpr final : public VExpr {
         result_data.resize(count);
         for (size_t row = 0; row < count; ++row) {
             const size_t input_row = selector == nullptr ? row : (*selector)[row];
-            result_data[row] =
-                    !nullable_column.is_null_at(input_row) && input.get_element(input_row) > _value;
+            if (nullable_column.is_null_at(input_row)) {
+                result_data[row] = false;
+                continue;
+            }
+            const auto input_value = input.get_element(input_row);
+            switch (_comparison_op) {
+            case TExprOpcode::GT:
+                result_data[row] = input_value > _value;
+                break;
+            case TExprOpcode::LT:
+                result_data[row] = input_value < _value;
+                break;
+            case TExprOpcode::NE:
+                result_data[row] = input_value != _value;
+                break;
+            default:
+                DORIS_CHECK(false) << "Unsupported test comparison opcode " << _comparison_op;
+            }
         }
         result_column = std::move(result);
         return Status::OK();
@@ -2516,6 +2540,7 @@ class NullableGreaterThanExpr final : public VExpr {
 private:
     const int _column_id;
     const ValueType _value;
+    const TExprOpcode::type _comparison_op;
     const std::string _expr_name;
 };
 
@@ -3068,6 +3093,48 @@ void write_primitive_orc_file(const std::string& file_path) {
     out.write(memory_stream.getData(), static_cast<std::streamsize>(memory_stream.getLength()));
 }
 
+void write_timestamp_rounding_orc_file(const std::string& file_path,
+                                       int64_t row_count = TIMESTAMP_ROUNDING_ROW_COUNT,
+                                       int64_t first_source_row = 0) {
+    auto type = std::unique_ptr<::orc::Type>(::orc::Type::buildTypeFromString(
+            "struct<timestamp_col:timestamp,"
+            "timestamp_instant_col:timestamp with local time zone>"));
+
+    MemoryOutputStream memory_stream(1024 * 1024);
+    ::orc::WriterOptions options;
+    options.setCompression(::orc::CompressionKind_NONE);
+    options.setMemoryPool(::orc::getDefaultPool());
+    // ORC treats GMT as its canonical zero-offset writer timezone.
+    options.setTimezoneName("GMT");
+    auto writer = ::orc::createWriter(*type, &memory_stream, options);
+    auto batch = writer->createRowBatch(row_count);
+    auto& struct_batch = dynamic_cast<::orc::StructVectorBatch&>(*batch);
+    auto& timestamp_batch = dynamic_cast<::orc::TimestampVectorBatch&>(*struct_batch.fields[0]);
+    auto& timestamp_instant_batch =
+            dynamic_cast<::orc::TimestampVectorBatch&>(*struct_batch.fields[1]);
+
+    static constexpr std::array<int64_t, TIMESTAMP_ROUNDING_ROW_COUNT> seconds {1, 2, 1609459199,
+                                                                                -2};
+    static constexpr std::array<int64_t, TIMESTAMP_ROUNDING_ROW_COUNT> nanoseconds {
+            111001900, 345678499, 999999999, 999998500};
+    for (int64_t row = 0; row < row_count; ++row) {
+        const auto source_row = first_source_row + row;
+        timestamp_batch.data[row] = seconds[source_row];
+        timestamp_batch.nanoseconds[row] = nanoseconds[source_row];
+        timestamp_instant_batch.data[row] = seconds[source_row];
+        timestamp_instant_batch.nanoseconds[row] = nanoseconds[source_row];
+    }
+    struct_batch.numElements = row_count;
+    timestamp_batch.numElements = row_count;
+    timestamp_instant_batch.numElements = row_count;
+
+    writer->add(*batch);
+    writer->close();
+
+    std::ofstream out(file_path, std::ios::binary);
+    out.write(memory_stream.getData(), static_cast<std::streamsize>(memory_stream.getLength()));
+}
+
 void fill_complex_struct_column(::orc::StructVectorBatch& struct_col) {
     auto& struct_a = dynamic_cast<::orc::LongVectorBatch&>(*struct_col.fields[0]);
     auto& struct_b = dynamic_cast<::orc::StringVectorBatch&>(*struct_col.fields[1]);
@@ -4192,6 +4259,8 @@ void write_multi_stripe_orc_sarg_types_file(const std::string& file_path) {
     ::orc::WriterOptions options;
     options.setCompression(::orc::CompressionKind_NONE);
     options.setMemoryPool(::orc::getDefaultPool());
+    // ORC treats GMT as its canonical zero-offset writer timezone.
+    options.setTimezoneName("GMT");
     options.setStripeSize(1);
     options.setDictionaryKeySizeThreshold(0);
     auto writer = ::orc::createWriter(*type, &memory_stream, options);
@@ -4316,7 +4385,8 @@ void write_two_stripe_constant_date_file(const std::string& file_path, int64_t f
 void write_two_stripe_constant_timestamp_file(const std::string& file_path,
                                               int64_t first_timestamp_second,
                                               int64_t second_timestamp_second,
-                                              std::string_view writer_timezone = "GMT") {
+                                              std::string_view writer_timezone = "GMT",
+                                              int64_t nanoseconds = 123000000) {
     auto type = std::unique_ptr<::orc::Type>(
             ::orc::Type::buildTypeFromString("struct<timestamp_col:timestamp,payload:string>"));
 
@@ -4339,7 +4409,7 @@ void write_two_stripe_constant_timestamp_file(const std::string& file_path,
         payloads.reserve(ROWS_PER_STRIPE);
         for (int64_t row = 0; row < ROWS_PER_STRIPE; ++row) {
             timestamp_batch.data[row] = timestamp_second;
-            timestamp_batch.nanoseconds[row] = 123000000;
+            timestamp_batch.nanoseconds[row] = nanoseconds;
             payloads.push_back(std::string(2048, static_cast<char>('a' + row % 26)));
             set_string_value(payload_batch, row, payloads.back());
         }
@@ -4470,6 +4540,8 @@ format::LocalColumnIndex struct_child_projection(int32_t root_field_id, int32_t
 
 class NewOrcReaderTest : public testing::Test {
 protected:
+    static void SetUpTestSuite() { TimezoneUtils::load_timezones_to_cache(); }
+
     enum class DirectInPredicateShape {
         ROOT,
         AND,
@@ -4957,6 +5029,61 @@ TEST_F(NewOrcReaderTest, AggregatePushdownTimestampMinMaxFallsBackForPreOrc135Wr
     EXPECT_EQ(fallback_values, baseline_values);
 }
 
+TEST_F(NewOrcReaderTest, AggregatePushdownTimestampMinMaxMatchesNegativeRowDecoding) {
+    const auto file_path = (_test_dir / "aggregate_negative_timestamp.orc").string();
+    // Unlike ORC SARG reconstruction, the aggregate path canonicalizes negative millisecond
+    // remainders before rounding. Its statistics result must match the decoded row value.
+    write_timestamp_rounding_orc_file(file_path, 1, 3);
+
+    auto reader = create_reader_for_path(file_path);
+    RuntimeState state {TQueryOptions(), TQueryGlobals()};
+    state.set_timezone("+00:00");
+    ASSERT_TRUE(reader->init(&state).ok());
+
+    auto request = std::make_shared<format::FileScanRequest>();
+    request->non_predicate_columns = {field_projection(0)};
+    ASSERT_TRUE(reader->open(request).ok());
+
+    format::FileAggregateRequest aggregate_request;
+    aggregate_request.agg_type = TPushAggOp::type::MINMAX;
+    aggregate_request.columns.push_back(
+            {.projection = format::LocalColumnIndex::top_level(format::LocalColumnId(0))});
+    format::FileAggregateResult aggregate_result;
+    auto status = reader->get_aggregate_result(aggregate_request, &aggregate_result);
+    ASSERT_TRUE(status.ok()) << status;
+    ASSERT_EQ(aggregate_result.columns.size(), 1);
+    EXPECT_EQ(aggregate_result.count, 1);
+    EXPECT_TRUE(aggregate_result.columns[0].has_min);
+    EXPECT_TRUE(aggregate_result.columns[0].has_max);
+    const auto expected = make_datetime_v2(1969, 12, 31, 23, 59, 58, 999999);
+    EXPECT_EQ(aggregate_result.columns[0].min_value.get<TYPE_DATETIMEV2>(), expected);
+    EXPECT_EQ(aggregate_result.columns[0].max_value.get<TYPE_DATETIMEV2>(), expected);
+}
+
+TEST_F(NewOrcReaderTest, AggregatePushdownTimestampMinMaxRejectsNamedTimezone) {
+    const auto multi_stripe_file_path = (_test_dir / "aggregate_timestamp_dst_fold.orc").string();
+    // 2021-11-07 08:30Z and 09:00Z straddle the America/Los_Angeles fall-back transition.
+    write_multi_stripe_orc_timestamp_instant_sarg_file(multi_stripe_file_path, 1636273800,
+                                                       1636275600);
+
+    auto reader = create_reader_for_path(multi_stripe_file_path);
+    RuntimeState state {TQueryOptions(), TQueryGlobals()};
+    state.set_timezone("America/Los_Angeles");
+    ASSERT_TRUE(reader->init(&state).ok());
+
+    auto request = std::make_shared<format::FileScanRequest>();
+    request->non_predicate_columns = {field_projection(0)};
+    ASSERT_TRUE(reader->open(request).ok());
+
+    format::FileAggregateRequest aggregate_request;
+    aggregate_request.agg_type = TPushAggOp::type::MINMAX;
+    aggregate_request.columns.push_back(
+            {.projection = format::LocalColumnIndex::top_level(format::LocalColumnId(0))});
+    format::FileAggregateResult aggregate_result;
+    auto status = reader->get_aggregate_result(aggregate_request, &aggregate_result);
+    EXPECT_TRUE(status.is<ErrorCode::NOT_IMPLEMENTED_ERROR>()) << status;
+}
+
 TEST_F(NewOrcReaderTest, AggregatePushdownTimestampInstantMinMaxUsesTimestampTzWhenMapped) {
     const auto multi_stripe_file_path = (_test_dir / "aggregate_timestamp_instant_tz.orc").string();
     write_multi_stripe_orc_timestamp_instant_sarg_file(multi_stripe_file_path);
@@ -9215,6 +9342,47 @@ TEST_F(NewOrcReaderTest, SargTimestampConjunctPrunesStripes) {
     EXPECT_EQ(reader->reader_statistics().filtered_group_rows, 200);
 }
 
+TEST_F(NewOrcReaderTest, SargPlainTimestampFixedOffsetUsesUtcWallClockLiteral) {
+    const auto multi_stripe_file_path =
+            (_test_dir / "sarg_timestamp_session_timezone.orc").string();
+    // Plain TIMESTAMP uses UTC coordinates for wall-clock statistics even when writer and session
+    // timezones have a nonzero offset.
+    write_two_stripe_constant_timestamp_file(multi_stripe_file_path, 0, 3600, "Asia/Shanghai");
+    ASSERT_EQ(get_orc_stripe_count(multi_stripe_file_path), 2);
+
+    auto reader = create_reader_for_path(multi_stripe_file_path);
+    RuntimeState state {TQueryOptions(), TQueryGlobals()};
+    state.set_timezone("+08:00");
+    ASSERT_TRUE(reader->init(&state).ok());
+
+    std::vector<format::ColumnDefinition> schema;
+    ASSERT_TRUE(reader->get_schema(&schema).ok());
+    ASSERT_EQ(schema.size(), 2);
+
+    const auto literal = Field::create_field<TYPE_DATETIMEV2>(make_datetime_v2(1970, 1, 1, 8, 30));
+    auto request = std::make_shared<format::FileScanRequest>();
+    request->predicate_columns = {field_projection(0)};
+    request->conjuncts.push_back(
+            VExprContext::create_shared(std::make_shared<NullableGreaterThanExpr<TYPE_DATETIMEV2>>(
+                    0, remove_nullable(schema[0].type), literal, "timestamp_col", false,
+                    TExprOpcode::LT)));
+    ASSERT_TRUE(reader->open(request).ok());
+
+    bool eof = false;
+    size_t result_rows = 0;
+    while (!eof) {
+        Block block = build_file_block({schema[0]});
+        size_t rows = 0;
+        ASSERT_TRUE(reader->get_block(&block, &rows, &eof).ok());
+        result_rows += rows;
+    }
+
+    EXPECT_EQ(result_rows, 200);
+    EXPECT_EQ(reader->reader_statistics().filtered_row_groups, 1);
+    EXPECT_EQ(reader->reader_statistics().filtered_row_groups_by_min_max, 1);
+    EXPECT_EQ(reader->reader_statistics().filtered_group_rows, 200);
+}
+
 TEST_F(NewOrcReaderTest, SargTimestampInstantConjunctUsesSessionTimezone) {
     const auto multi_stripe_file_path =
             (_test_dir / "sarg_timestamp_instant_timezone.orc").string();
@@ -9249,9 +9417,11 @@ TEST_F(NewOrcReaderTest, SargTimestampInstantConjunctUsesSessionTimezone) {
     }
 
     EXPECT_EQ(result_rows, 200);
-    EXPECT_EQ(reader->reader_statistics().filtered_row_groups, 1);
-    EXPECT_EQ(reader->reader_statistics().filtered_row_groups_by_min_max, 1);
-    EXPECT_EQ(reader->reader_statistics().filtered_group_rows, 200);
+    // Named timezones can map a local timestamp to multiple instants during a DST fold, so Doris
+    // must leave timestamp stripe pruning disabled and apply the predicate after decoding.
+    EXPECT_EQ(reader->reader_statistics().filtered_row_groups, 0);
+    EXPECT_EQ(reader->reader_statistics().filtered_row_groups_by_min_max, 0);
+    EXPECT_EQ(reader->reader_statistics().filtered_group_rows, 0);
 }
 
 TEST_F(NewOrcReaderTest, SargTimestampInstantRepeatedCivilTimeDoesNotPruneStripes) {
@@ -9525,6 +9695,7 @@ TEST_F(NewOrcReaderTest, SargTimestampInListConjunctPrunesStripes) {
 
     auto reader = create_reader_for_path(multi_stripe_file_path);
     RuntimeState state {TQueryOptions(), TQueryGlobals()};
+    state.set_timezone("+00:00");
     ASSERT_TRUE(reader->init(&state).ok());
 
     std::vector<format::ColumnDefinition> schema;
@@ -9556,13 +9727,14 @@ TEST_F(NewOrcReaderTest, SargTimestampInListConjunctPrunesStripes) {
     EXPECT_EQ(reader->reader_statistics().filtered_group_rows, 200);
 }
 
-TEST_F(NewOrcReaderTest, SargTimestampNotInListConjunctPrunesStripes) {
+TEST_F(NewOrcReaderTest, SargTimestampNotInListConjunctDoesNotUseUnsafeEnvelope) {
     const auto multi_stripe_file_path = (_test_dir / "sarg_timestamp_not_in.orc").string();
     write_two_stripe_constant_timestamp_file(multi_stripe_file_path, 0, 1609459200);
     ASSERT_EQ(get_orc_stripe_count(multi_stripe_file_path), 2);
 
     auto reader = create_reader_for_path(multi_stripe_file_path);
     RuntimeState state {TQueryOptions(), TQueryGlobals()};
+    state.set_timezone("+00:00");
     ASSERT_TRUE(reader->init(&state).ok());
 
     std::vector<format::ColumnDefinition> schema;
@@ -9589,9 +9761,52 @@ TEST_F(NewOrcReaderTest, SargTimestampNotInListConjunctPrunesStripes) {
     }
 
     EXPECT_EQ(result_rows, 200);
-    EXPECT_EQ(reader->reader_statistics().filtered_row_groups, 1);
-    EXPECT_EQ(reader->reader_statistics().filtered_row_groups_by_min_max, 1);
-    EXPECT_EQ(reader->reader_statistics().filtered_group_rows, 200);
+    EXPECT_EQ(reader->reader_statistics().filtered_row_groups, 0);
+    EXPECT_EQ(reader->reader_statistics().filtered_row_groups_by_min_max, 0);
+    EXPECT_EQ(reader->reader_statistics().filtered_group_rows, 0);
+}
+
+TEST_F(NewOrcReaderTest, SargTimestampNamedTimezoneFoldDoesNotPruneMatches) {
+    const auto file_path = (_test_dir / "sarg_timestamp_dst_fold.orc").string();
+    write_two_stripe_constant_timestamp_file(file_path, 1636273800, 1636277400,
+                                             "America/Los_Angeles");
+    ASSERT_EQ(get_orc_stripe_count(file_path), 2);
+
+    auto reader = create_reader_for_path(file_path);
+    RuntimeState state {TQueryOptions(), TQueryGlobals()};
+    state.set_timezone("America/Los_Angeles");
+    int32_t offset_seconds = 0;
+    ASSERT_FALSE(
+            TimezoneUtils::try_get_fixed_offset_seconds(state.timezone_obj(), &offset_seconds));
+    ASSERT_TRUE(reader->init(&state).ok());
+
+    std::vector<format::ColumnDefinition> schema;
+    ASSERT_TRUE(reader->get_schema(&schema).ok());
+    ASSERT_EQ(schema.size(), 2);
+
+    auto request = std::make_shared<format::FileScanRequest>();
+    request->predicate_columns = {field_projection(0)};
+    request->conjuncts.push_back(
+            VExprContext::create_shared(std::make_shared<NullableInExpr<TYPE_DATETIMEV2>>(
+                    0, remove_nullable(schema[0].type),
+                    std::vector<Field> {Field::create_field<TYPE_DATETIMEV2>(
+                            make_datetime_v2(2021, 11, 7, 1, 30, 0, 123000))},
+                    "timestamp_col")));
+    ASSERT_TRUE(reader->open(request).ok());
+
+    bool eof = false;
+    size_t result_rows = 0;
+    while (!eof) {
+        Block block = build_file_block({schema[0]});
+        size_t rows = 0;
+        ASSERT_TRUE(reader->get_block(&block, &rows, &eof).ok());
+        result_rows += rows;
+    }
+
+    EXPECT_EQ(result_rows, 400);
+    EXPECT_EQ(reader->reader_statistics().filtered_row_groups, 0);
+    EXPECT_EQ(reader->reader_statistics().filtered_row_groups_by_min_max, 0);
+    EXPECT_EQ(reader->reader_statistics().filtered_group_rows, 0);
 }
 
 TEST_F(NewOrcReaderTest, SargConjunctPruningPreservesRowPosition) {
@@ -9927,6 +10142,194 @@ TEST_F(NewOrcReaderTest, ReadPrimitiveTypesWithNulls) {
     EXPECT_EQ(schema[15].type->to_string(*block.get_by_position(15).column, NULL_ROW), "NULL");
 }
 
+TEST_F(NewOrcReaderTest, ReadTimestampNanosecondsRoundsToMicroseconds) {
+    const auto file_path = (_test_dir / "timestamp_rounding.orc").string();
+    write_timestamp_rounding_orc_file(file_path);
+    auto reader = create_reader_for_path(file_path);
+    RuntimeState state {TQueryOptions(), TQueryGlobals()};
+    state.set_timezone("+00:00");
+    ASSERT_TRUE(reader->init(&state).ok());
+
+    std::vector<format::ColumnDefinition> schema;
+    ASSERT_TRUE(reader->get_schema(&schema).ok());
+    ASSERT_EQ(schema.size(), 2);
+
+    Block block = build_file_block(schema);
+    auto request = std::make_shared<format::FileScanRequest>();
+    request->non_predicate_columns = {field_projection(0), field_projection(1)};
+    ASSERT_TRUE(reader->open(request).ok());
+
+    size_t rows = 0;
+    bool eof = false;
+    ASSERT_TRUE(reader->get_block(&block, &rows, &eof).ok());
+    EXPECT_FALSE(eof);
+    ASSERT_EQ(rows, TIMESTAMP_ROUNDING_ROW_COUNT);
+
+    static constexpr std::array<std::string_view, TIMESTAMP_ROUNDING_ROW_COUNT> expected {
+            "1970-01-01 00:00:01.111002", "1970-01-01 00:00:02.345678",
+            "2021-01-01 00:00:00.000000", "1969-12-31 23:59:58.999999"};
+    for (size_t column_id = 0; column_id < schema.size(); ++column_id) {
+        for (size_t row = 0; row < expected.size(); ++row) {
+            EXPECT_EQ(schema[column_id].type->to_string(*block.get_by_position(column_id).column,
+                                                        row),
+                      expected[row]);
+        }
+    }
+}
+
+TEST_F(NewOrcReaderTest, TimestampSargMatchesRoundedMicroseconds) {
+    const auto file_path = (_test_dir / "timestamp_rounding_sarg.orc").string();
+    write_timestamp_rounding_orc_file(file_path, 1);
+    auto reader = create_reader_for_path(file_path);
+    RuntimeState state {TQueryOptions(), TQueryGlobals()};
+    state.set_timezone("+00:00");
+    ASSERT_TRUE(reader->init(&state).ok());
+
+    std::vector<format::ColumnDefinition> schema;
+    ASSERT_TRUE(reader->get_schema(&schema).ok());
+    ASSERT_EQ(schema.size(), 2);
+
+    auto request = std::make_shared<format::FileScanRequest>();
+    request->predicate_columns = {field_projection(0)};
+    request->conjuncts.push_back(
+            VExprContext::create_shared(std::make_shared<NullableInExpr<TYPE_DATETIMEV2>>(
+                    0, remove_nullable(schema[0].type),
+                    std::vector<Field> {Field::create_field<TYPE_DATETIMEV2>(
+                            make_datetime_v2(1970, 1, 1, 0, 0, 1, 111002))},
+                    "timestamp_col")));
+    ASSERT_TRUE(reader->open(request).ok());
+
+    Block block = build_file_block({schema[0]});
+    size_t rows = 0;
+    bool eof = false;
+    ASSERT_TRUE(reader->get_block(&block, &rows, &eof).ok());
+    EXPECT_FALSE(eof);
+    ASSERT_EQ(rows, 1);
+    EXPECT_EQ(schema[0].type->to_string(*block.get_by_position(0).column, 0),
+              "1970-01-01 00:00:01.111002");
+}
+
+TEST_F(NewOrcReaderTest, TimestampSargMillisecondBoundsNeverPruneMatches) {
+    auto scan_rows = [&](std::string_view suffix, TExprOpcode::type comparison_op,
+                         uint32_t literal_microseconds, bool not_in = false) {
+        const auto file_path = (_test_dir / fmt::format("timestamp_sarg_{}.orc", suffix)).string();
+        // The first stripe rounds 1.111001900 to 1.111002, while the second rounds the same
+        // fractional part at second 10. Millisecond statistics must never make the SARG stricter
+        // than Doris's exact microsecond row comparison.
+        write_two_stripe_constant_timestamp_file(file_path, 1, 10, "GMT", 111001900);
+        auto reader = create_reader_for_path(file_path);
+        RuntimeState state {TQueryOptions(), TQueryGlobals()};
+        state.set_timezone("+00:00");
+        EXPECT_TRUE(reader->init(&state).ok());
+
+        std::vector<format::ColumnDefinition> schema;
+        EXPECT_TRUE(reader->get_schema(&schema).ok());
+        EXPECT_EQ(schema.size(), 2);
+
+        const auto literal = Field::create_field<TYPE_DATETIMEV2>(
+                make_datetime_v2(1970, 1, 1, 0, 0, 1, literal_microseconds));
+        auto request = std::make_shared<format::FileScanRequest>();
+        request->predicate_columns = {field_projection(0)};
+        if (not_in) {
+            request->conjuncts.push_back(
+                    VExprContext::create_shared(std::make_shared<NullableInExpr<TYPE_DATETIMEV2>>(
+                            0, remove_nullable(schema[0].type), std::vector<Field> {literal},
+                            "timestamp_col", true)));
+        } else {
+            request->conjuncts.push_back(VExprContext::create_shared(
+                    std::make_shared<NullableGreaterThanExpr<TYPE_DATETIMEV2>>(
+                            0, remove_nullable(schema[0].type), literal, "timestamp_col", false,
+                            comparison_op)));
+        }
+        EXPECT_TRUE(reader->open(request).ok());
+
+        bool eof = false;
+        size_t result_rows = 0;
+        while (!eof) {
+            Block block = build_file_block({schema[0]});
+            size_t rows = 0;
+            EXPECT_TRUE(reader->get_block(&block, &rows, &eof).ok());
+            result_rows += rows;
+        }
+        return std::pair {result_rows, reader->reader_statistics().filtered_row_groups};
+    };
+
+    EXPECT_EQ(scan_rows("gt", TExprOpcode::GT, 111001).first, 400);
+    EXPECT_EQ(scan_rows("lt", TExprOpcode::LT, 111003).first, 200);
+    const auto not_equal = scan_rows("ne", TExprOpcode::NE, 111001);
+    EXPECT_EQ(not_equal.first, 400);
+    EXPECT_EQ(not_equal.second, 0);
+    const auto not_in = scan_rows("not_in", TExprOpcode::INVALID_OPCODE, 111001, true);
+    EXPECT_EQ(not_in.first, 400);
+    EXPECT_EQ(not_in.second, 0);
+}
+
+TEST_F(NewOrcReaderTest, NegativeTimestampRoundingBypassesUnsafeSarg) {
+    const auto file_path = (_test_dir / "negative_timestamp_rounding_sarg.orc").string();
+    write_timestamp_rounding_orc_file(file_path, 1, 3);
+    auto reader = create_reader_for_path(file_path);
+    RuntimeState state {TQueryOptions(), TQueryGlobals()};
+    state.set_timezone("+00:00");
+    ASSERT_TRUE(reader->init(&state).ok());
+
+    std::vector<format::ColumnDefinition> schema;
+    ASSERT_TRUE(reader->get_schema(&schema).ok());
+    ASSERT_EQ(schema.size(), 2);
+
+    auto request = std::make_shared<format::FileScanRequest>();
+    request->predicate_columns = {field_projection(0)};
+    request->conjuncts.push_back(
+            VExprContext::create_shared(std::make_shared<NullableInExpr<TYPE_DATETIMEV2>>(
+                    0, remove_nullable(schema[0].type),
+                    std::vector<Field> {Field::create_field<TYPE_DATETIMEV2>(
+                            make_datetime_v2(1969, 12, 31, 23, 59, 58, 999999))},
+                    "timestamp_col")));
+    ASSERT_TRUE(reader->open(request).ok());
+
+    Block block = build_file_block({schema[0]});
+    size_t rows = 0;
+    bool eof = false;
+    ASSERT_TRUE(reader->get_block(&block, &rows, &eof).ok());
+    EXPECT_FALSE(eof);
+    ASSERT_EQ(rows, 1);
+    EXPECT_EQ(schema[0].type->to_string(*block.get_by_position(0).column, 0),
+              "1969-12-31 23:59:58.999999");
+    EXPECT_EQ(reader->reader_statistics().filtered_row_groups, 0);
+}
+
+TEST_F(NewOrcReaderTest, NegativeTimestampNotInEpochBypassesUnsafeSarg) {
+    const auto file_path = (_test_dir / "negative_timestamp_not_in_epoch.orc").string();
+    write_timestamp_rounding_orc_file(file_path, 1, 3);
+    auto reader = create_reader_for_path(file_path);
+    RuntimeState state {TQueryOptions(), TQueryGlobals()};
+    state.set_timezone("+00:00");
+    ASSERT_TRUE(reader->init(&state).ok());
+
+    std::vector<format::ColumnDefinition> schema;
+    ASSERT_TRUE(reader->get_schema(&schema).ok());
+    ASSERT_EQ(schema.size(), 2);
+
+    auto request = std::make_shared<format::FileScanRequest>();
+    request->predicate_columns = {field_projection(0)};
+    request->conjuncts.push_back(
+            VExprContext::create_shared(std::make_shared<NullableInExpr<TYPE_DATETIMEV2>>(
+                    0, remove_nullable(schema[0].type),
+                    std::vector<Field> {
+                            Field::create_field<TYPE_DATETIMEV2>(make_datetime_v2(1970, 1, 1))},
+                    "timestamp_col", true)));
+    ASSERT_TRUE(reader->open(request).ok());
+
+    Block block = build_file_block({schema[0]});
+    size_t rows = 0;
+    bool eof = false;
+    ASSERT_TRUE(reader->get_block(&block, &rows, &eof).ok());
+    EXPECT_FALSE(eof);
+    ASSERT_EQ(rows, 1);
+    EXPECT_EQ(schema[0].type->to_string(*block.get_by_position(0).column, 0),
+              "1969-12-31 23:59:58.999999");
+    EXPECT_EQ(reader->reader_statistics().filtered_row_groups, 0);
+}
+
 TEST_F(NewOrcReaderTest, ReadHive11DecimalUsesBatchScale) {
     const auto file_path = find_repo_file(
             "contrib/apache-orc/java/core/src/test/resources/orc-file-11-format.orc");
diff --git a/be/test/format_v2/parquet/parquet_leaf_reader_test.cpp b/be/test/format_v2/parquet/parquet_leaf_reader_test.cpp
index 0d0f9a2f8567cc..38c080b7624410 100644
--- a/be/test/format_v2/parquet/parquet_leaf_reader_test.cpp
+++ b/be/test/format_v2/parquet/parquet_leaf_reader_test.cpp
@@ -22,6 +22,7 @@
 #include <gtest/gtest.h>
 #include <parquet/api/schema.h>
 
+#include <array>
 #include <cmath>
 #include <cstring>
 #include <functional>
@@ -76,7 +77,8 @@ struct CapturedDecodedView {
 ParquetLeafReader make_spy_leaf_reader(ParquetTypeDescriptor descriptor, DataTypePtr type,
                                        CapturedDecodedView* captured,
                                        const cctz::time_zone* timezone = nullptr,
-                                       bool enable_strict_mode = false) {
+                                       bool enable_strict_mode = false,
+                                       const cctz::time_zone* int96_timezone = nullptr) {
     auto appender = [captured](MutableColumnPtr&, const DecodedColumnView& view) {
         captured->value_kind = view.value_kind;
         captured->time_unit = view.time_unit;
@@ -117,7 +119,7 @@ ParquetLeafReader make_spy_leaf_reader(ParquetTypeDescriptor descriptor, DataTyp
         return Status::OK();
     };
     return ParquetLeafReader(nullptr, descriptor, std::move(type), "leaf", nullptr, {}, timezone,
-                             enable_strict_mode, std::move(appender));
+                             enable_strict_mode, std::move(appender), int96_timezone);
 }
 
 } // namespace
@@ -354,6 +356,34 @@ TEST(ParquetLeafReaderTest, DecodedColumnViewCarriesDescriptorSessionAndNullMapF
     EXPECT_TRUE(captured.null_map_is_null);
 }
 
+TEST(ParquetLeafReaderTest, Int96UsesOnlyExplicitHiveParquetTimezone) {
+    ParquetTypeDescriptor descriptor;
+    descriptor.physical_type = ::parquet::Type::INT96;
+    auto type = std::make_shared<DataTypeInt64>();
+    cctz::time_zone session_timezone;
+    cctz::time_zone hive_parquet_timezone;
+    ASSERT_TRUE(cctz::load_time_zone("America/Los_Angeles", &session_timezone));
+    ASSERT_TRUE(cctz::load_time_zone("Asia/Shanghai", &hive_parquet_timezone));
+
+    CapturedDecodedView captured;
+    auto reader = make_spy_leaf_reader(descriptor, type, &captured, &session_timezone, false,
+                                       &hive_parquet_timezone);
+    const std::array<uint8_t, 12> int96_value {};
+    ParquetLeafBatch batch;
+    batch._value_kind = DecodedValueKind::INT96;
+    batch._fixed_values = int96_value.data();
+    batch._values_written = 1;
+    auto column = type->create_column();
+
+    ASSERT_TRUE(reader.append_values(batch, 1, nullptr, column).ok());
+    EXPECT_EQ(captured.timezone, &hive_parquet_timezone);
+
+    captured.timezone = &session_timezone;
+    auto default_reader = make_spy_leaf_reader(descriptor, type, &captured, &session_timezone);
+    ASSERT_TRUE(default_reader.append_values(batch, 1, nullptr, column).ok());
+    EXPECT_EQ(captured.timezone, nullptr);
+}
+
 TEST(ParquetLeafReaderTest, DecodedColumnViewCapturesBinaryFixedLengthAndFloat16Override) {
     ParquetTypeDescriptor binary_descriptor;
     binary_descriptor.physical_type = ::parquet::Type::FIXED_LEN_BYTE_ARRAY;
diff --git a/be/test/format_v2/parquet/parquet_reader_test.cpp b/be/test/format_v2/parquet/parquet_reader_test.cpp
index c5bf251c1553e2..67ab90a5cbc69d 100644
--- a/be/test/format_v2/parquet/parquet_reader_test.cpp
+++ b/be/test/format_v2/parquet/parquet_reader_test.cpp
@@ -37,10 +37,12 @@
 
 #include "core/assert_cast.h"
 #include "core/block/block.h"
+#include "core/column/column_array.h"
 #include "core/column/column_nullable.h"
 #include "core/column/column_string.h"
 #include "core/column/column_vector.h"
 #include "core/data_type/data_type_array.h"
+#include "core/data_type/data_type_date_or_datetime_v2.h"
 #include "core/data_type/data_type_map.h"
 #include "core/data_type/data_type_nullable.h"
 #include "core/data_type/data_type_number.h"
@@ -66,6 +68,7 @@
 #include "storage/index/zone_map/zonemap_filter_result.h"
 #include "storage/segment/condition_cache.h"
 #include "storage/utils.h"
+#include "util/timezone_utils.h"
 
 namespace doris {
 namespace {
@@ -728,6 +731,37 @@ void write_int96_timestamp_parquet_file(const std::string& file_path) {
                                                       arrow_builder.build()));
 }
 
+void write_nested_int96_timestamp_parquet_file(const std::string& file_path) {
+    auto timestamp_type = arrow::timestamp(arrow::TimeUnit::MICRO);
+    auto value_builder =
+            std::make_shared<arrow::TimestampBuilder>(timestamp_type, arrow::default_memory_pool());
+    arrow::ListBuilder list_builder(arrow::default_memory_pool(), value_builder,
+                                    arrow::list(arrow::field("element", timestamp_type, true)));
+
+    ASSERT_TRUE(list_builder.Append().ok());
+    ASSERT_TRUE(value_builder->Append(1735660800000000LL).ok());
+    ASSERT_TRUE(value_builder->Append(1735660800123456LL).ok());
+    ASSERT_TRUE(list_builder.Append().ok());
+    ASSERT_TRUE(value_builder->Append(1735689600000000LL).ok());
+    std::shared_ptr<arrow::Array> array;
+    ASSERT_TRUE(list_builder.Finish(&array).ok());
+    auto table = arrow::Table::Make(
+            arrow::schema({arrow::field("timestamps", array->type(), true)}), {array});
+
+    auto file_result = arrow::io::FileOutputStream::Open(file_path);
+    ASSERT_TRUE(file_result.ok()) << file_result.status();
+    std::shared_ptr<arrow::io::FileOutputStream> out = *file_result;
+    ::parquet::WriterProperties::Builder writer_builder;
+    writer_builder.version(::parquet::ParquetVersion::PARQUET_2_6);
+    writer_builder.data_page_version(::parquet::ParquetDataPageVersion::V2);
+    writer_builder.compression(::parquet::Compression::UNCOMPRESSED);
+    ::parquet::ArrowWriterProperties::Builder arrow_builder;
+    arrow_builder.enable_force_write_int96_timestamps();
+    PARQUET_THROW_NOT_OK(::parquet::arrow::WriteTable(*table, arrow::default_memory_pool(), out,
+                                                      ROW_COUNT, writer_builder.build(),
+                                                      arrow_builder.build()));
+}
+
 void write_int_pair_parquet_file(const std::string& file_path, int64_t row_group_size = ROW_COUNT) {
     auto schema = arrow::schema({
             arrow::field("id", arrow::int32(), false),
@@ -1136,7 +1170,7 @@ class NewParquetReaderTest : public testing::Test {
             RuntimeProfile* profile = nullptr, bool enable_mapping_timestamp_tz = false,
             std::shared_ptr<io::IOContext> io_ctx = nullptr,
             std::optional<format::GlobalRowIdContext> global_rowid_context = std::nullopt,
-            bool is_immutable = false) const {
+            bool is_immutable = false, std::string hive_parquet_time_zone = "") const {
         auto system_properties = std::make_shared<io::FileSystemProperties>();
         system_properties->system_type = TFileType::FILE_LOCAL;
         auto file_description = std::make_unique<io::FileDescription>();
@@ -1147,7 +1181,8 @@ class NewParquetReaderTest : public testing::Test {
         file_description->is_immutable = is_immutable;
         return std::make_unique<format::parquet::ParquetReader>(
                 system_properties, file_description, std::move(io_ctx), profile,
-                global_rowid_context, enable_mapping_timestamp_tz);
+                global_rowid_context, enable_mapping_timestamp_tz,
+                std::move(hive_parquet_time_zone));
     }
 
     std::filesystem::path _test_dir;
@@ -1312,6 +1347,103 @@ TEST_F(NewParquetReaderTest, GetSchemaMapsInt96ToTimestampTzWhenTimestampTzMappi
     EXPECT_EQ(remove_nullable(schema[0].type)->get_scale(), 6);
 }
 
+TEST_F(NewParquetReaderTest, Int96TimezoneUsesCatalogPropertyInsteadOfSessionTimezone) {
+    TimezoneUtils::load_timezones_to_cache();
+    write_int96_timestamp_parquet_file(_file_path);
+
+    auto read_first_value = [&](const std::string& hive_parquet_time_zone,
+                                bool enable_mapping_timestamp_tz = false) {
+        auto reader = create_reader(0, -1, nullptr, enable_mapping_timestamp_tz, nullptr,
+                                    std::nullopt, false, hive_parquet_time_zone);
+        RuntimeState state {TQueryOptions(), TQueryGlobals()};
+        // A session timezone must never implicitly opt an INT96 column into legacy conversion.
+        state.set_timezone("America/Los_Angeles");
+        auto status = reader->init(&state);
+        if (!status.ok()) {
+            ADD_FAILURE() << status;
+            return std::string {};
+        }
+        std::vector<format::ColumnDefinition> schema;
+        status = reader->get_schema(&schema);
+        if (!status.ok()) {
+            ADD_FAILURE() << status;
+            return std::string {};
+        }
+        auto request = std::make_shared<format::FileScanRequest>();
+        request->non_predicate_columns = {field_projection(0)};
+        status = reader->open(request);
+        if (!status.ok()) {
+            ADD_FAILURE() << status;
+            return std::string {};
+        }
+        Block block = build_file_block(schema);
+        size_t rows = 0;
+        bool eof = false;
+        status = reader->get_block(&block, &rows, &eof);
+        if (!status.ok()) {
+            ADD_FAILURE() << status;
+            return std::string {};
+        }
+        if (rows != 3) {
+            ADD_FAILURE() << "Expected 3 rows, got " << rows;
+            return std::string {};
+        }
+        return block.get_by_position(0).type->to_string(*block.get_by_position(0).column, 0);
+    };
+
+    // A Trino/UTC-style file stores the wall clock 2024-12-31 16:00 directly. With the property
+    // absent, Doris preserves it even though the SQL session is America/Los_Angeles.
+    EXPECT_EQ(read_first_value(""), "2024-12-31 16:00:00.000000");
+    // A legacy Hive writer configured for Asia/Shanghai can normalize local 2025-01-01 00:00 to
+    // raw INT96 2024-12-31 16:00. The matching catalog property reverses that normalization.
+    EXPECT_EQ(read_first_value("Asia/Shanghai"), "2025-01-01 00:00:00.000000");
+    // TIMESTAMPTZ preserves the instant even when the INT96 compatibility timezone is configured.
+    EXPECT_EQ(read_first_value("Asia/Shanghai", true), "2024-12-31 16:00:00.000000+00:00");
+}
+
+TEST_F(NewParquetReaderTest, NestedInt96UsesHiveParquetTimezone) {
+    TimezoneUtils::load_timezones_to_cache();
+    write_nested_int96_timestamp_parquet_file(_file_path);
+    auto reader =
+            create_reader(0, -1, nullptr, false, nullptr, std::nullopt, false, "Asia/Shanghai");
+    RuntimeState state {TQueryOptions(), TQueryGlobals()};
+    state.set_timezone("America/Los_Angeles");
+    ASSERT_TRUE(reader->init(&state).ok());
+
+    std::vector<format::ColumnDefinition> schema;
+    ASSERT_TRUE(reader->get_schema(&schema).ok());
+    ASSERT_EQ(schema.size(), 1);
+    auto request = std::make_shared<format::FileScanRequest>();
+    request->non_predicate_columns = {field_projection(0)};
+    ASSERT_TRUE(reader->open(request).ok());
+
+    Block block = build_file_block(schema);
+    size_t rows = 0;
+    bool eof = false;
+    ASSERT_TRUE(reader->get_block(&block, &rows, &eof).ok());
+    ASSERT_EQ(rows, 2);
+    const auto& arrays = nullable_nested_column<ColumnArray>(block, 0);
+    ASSERT_EQ(arrays.get_offsets(), ColumnArray::Offsets64({2, 3}));
+    const auto& nullable_elements = assert_cast<const ColumnNullable&>(arrays.get_data());
+    const auto& timestamps =
+            assert_cast<const ColumnDateTimeV2&>(nullable_elements.get_nested_column());
+    const auto* array_type =
+            assert_cast<const DataTypeArray*>(remove_nullable(schema[0].type).get());
+    const auto element_type = remove_nullable(array_type->get_nested_type());
+    EXPECT_EQ(element_type->to_string(timestamps, 0), "2025-01-01 00:00:00.000000");
+    EXPECT_EQ(element_type->to_string(timestamps, 1), "2025-01-01 00:00:00.123456");
+    EXPECT_EQ(element_type->to_string(timestamps, 2), "2025-01-01 08:00:00.000000");
+}
+
+TEST_F(NewParquetReaderTest, RejectsInvalidHiveParquetTimezone) {
+    auto reader =
+            create_reader(0, -1, nullptr, false, nullptr, std::nullopt, false, "Not/A_Timezone");
+    RuntimeState state {TQueryOptions(), TQueryGlobals()};
+    auto status = reader->init(&state);
+    EXPECT_FALSE(status.ok());
+    EXPECT_NE(status.to_string().find("Invalid hive.parquet.time-zone"), std::string::npos);
+}
+
 TEST_F(NewParquetReaderTest, ReadSingleRowGroupThenEof) {
     auto reader = create_reader();
     RuntimeState state {TQueryOptions(), TQueryGlobals()};
diff --git a/be/test/format_v2/parquet/parquet_serde_reader_test.cpp b/be/test/format_v2/parquet/parquet_serde_reader_test.cpp
index c35138e3263723..96b7fbeed0dade 100644
--- a/be/test/format_v2/parquet/parquet_serde_reader_test.cpp
+++ b/be/test/format_v2/parquet/parquet_serde_reader_test.cpp
@@ -17,10 +17,12 @@
 
 #include <arrow/api.h>
 #include <arrow/io/api.h>
+#include <cctz/time_zone.h>
 #include <gtest/gtest.h>
 #include <parquet/api/reader.h>
 #include <parquet/arrow/writer.h>
 
+#include <algorithm>
 #include <cmath>
 #include <filesystem>
 #include <functional>
@@ -37,6 +39,7 @@
 #include "core/column/column_vector.h"
 #include "core/data_type/data_type.h"
 #include "core/data_type/data_type_nullable.h"
+#include "core/data_type/data_type_timestamptz.h"
 #include "core/types.h"
 #include "format_v2/parquet/parquet_column_schema.h"
 #include "format_v2/parquet/reader/column_reader.h"
@@ -146,13 +149,17 @@ class ParquetSerdeReaderTest : public testing::Test {
     }
 
     void write_table(const std::string& file_path, const std::shared_ptr<arrow::Table>& table,
-                     std::shared_ptr<::parquet::ArrowWriterProperties> arrow_properties = nullptr) {
+                     std::shared_ptr<::parquet::ArrowWriterProperties> arrow_properties = nullptr,
+                     bool enable_dictionary = true) {
         auto file_result = arrow::io::FileOutputStream::Open(file_path);
         ASSERT_TRUE(file_result.ok()) << file_result.status();
         ::parquet::WriterProperties::Builder writer_builder;
         writer_builder.version(::parquet::ParquetVersion::PARQUET_2_6);
         writer_builder.data_page_version(::parquet::ParquetDataPageVersion::V2);
         writer_builder.compression(::parquet::Compression::UNCOMPRESSED);
+        if (!enable_dictionary) {
+            writer_builder.disable_dictionary();
+        }
         if (arrow_properties == nullptr) {
             ::parquet::ArrowWriterProperties::Builder arrow_builder;
             arrow_properties = arrow_builder.build();
@@ -238,14 +245,42 @@ class ParquetSerdeReaderTest : public testing::Test {
         return _fields.size();
     }
 
-    std::unique_ptr<ParquetColumnReader> create_reader(size_t field_idx) const {
-        ParquetColumnReaderFactory factory(_row_group, _file_reader->metadata()->num_columns());
+    std::unique_ptr<ParquetColumnReader> create_reader(
+            size_t field_idx, const cctz::time_zone* int96_timezone = nullptr) const {
+        ParquetColumnReaderFactory factory(_row_group, _file_reader->metadata()->num_columns(),
+                                           nullptr, {}, nullptr, false, {}, int96_timezone);
         std::unique_ptr<ParquetColumnReader> reader;
         auto st = factory.create(*_fields[field_idx], &reader);
         EXPECT_TRUE(st.ok()) << st;
         return reader;
     }
 
+    void write_int96_timestamp_file(const std::string& file_path, bool enable_dictionary) {
+        auto field = arrow::field("col_datetime", arrow::timestamp(arrow::TimeUnit::MICRO), false);
+        auto array = build_timestamp_array(
+                arrow::timestamp(arrow::TimeUnit::MICRO),
+                {0, 1234567, 1609459200000000, 1615714200000000, 1615717800000000});
+        auto table = arrow::Table::Make(arrow::schema({field}), {array});
+
+        ::parquet::ArrowWriterProperties::Builder arrow_builder;
+        arrow_builder.enable_force_write_int96_timestamps();
+        write_table(file_path, table, arrow_builder.build(), enable_dictionary);
+    }
+
+    void expect_int96_timestamp_strings(const cctz::time_zone* int96_timezone,
+                                        const std::vector<std::string>& expected) const {
+        ASSERT_EQ(expected.size(), ROW_COUNT);
+        auto reader = create_reader(0, int96_timezone);
+        ASSERT_NE(reader, nullptr);
+        auto column = _fields[0]->type->create_column();
+        int64_t rows_read = 0;
+        ASSERT_TRUE(reader->read(ROW_COUNT, column, &rows_read).ok());
+        ASSERT_EQ(rows_read, ROW_COUNT);
+        for (int64_t row = 0; row < ROW_COUNT; ++row) {
+            EXPECT_EQ(_fields[0]->type->to_string(*column, row), expected[row]);
+        }
+    }
+
     template <typename Validator>
     void read_and_validate(const std::string& name, Validator validator) const {
         const auto field_idx = find_field_idx(name);
@@ -422,37 +457,75 @@ TEST_F(ParquetSerdeReaderTest, ReadAllSupportedPhysicalAndLogicalTypes) {
             });
 }
 
-TEST_F(ParquetSerdeReaderTest, ReadInt96TimestampAsDateTimeV2) {
-    const auto file_path = (_test_dir / "int96_timestamp.parquet").string();
-    auto field = arrow::field("col_datetime", arrow::timestamp(arrow::TimeUnit::MICRO), false);
-    auto array = build_timestamp_array(arrow::timestamp(arrow::TimeUnit::MICRO),
-                                       {0, 1234567, 1609459200000000, 1609459201000000, -1});
-    auto table = arrow::Table::Make(arrow::schema({field}), {array});
-
-    ::parquet::ArrowWriterProperties::Builder arrow_builder;
-    arrow_builder.enable_force_write_int96_timestamps();
-    _fields.clear();
-    _file_reader.reset();
-    _row_group.reset();
-    write_table(file_path, table, arrow_builder.build());
-    open_file(file_path);
-
-    ASSERT_EQ(_fields.size(), 1);
-    EXPECT_EQ(_fields[0]->type_descriptor.physical_type, ::parquet::Type::INT96);
-    EXPECT_EQ(_fields[0]->type_descriptor.extra_type_info, ParquetExtraTypeInfo::IMPALA_TIMESTAMP);
-    ASSERT_TRUE(supports_record_reader(_fields[0]->type_descriptor));
-    ASSERT_EQ(remove_nullable(_fields[0]->type)->get_primitive_type(), TYPE_DATETIMEV2);
-
-    auto reader = create_reader(0);
-    ASSERT_NE(reader, nullptr);
-    auto column = _fields[0]->type->create_column();
-    int64_t rows_read = 0;
-    ASSERT_TRUE(reader->read(ROW_COUNT, column, &rows_read).ok());
-    ASSERT_EQ(rows_read, ROW_COUNT);
-    EXPECT_EQ(_fields[0]->type->to_string(*column, 0), "1970-01-01 00:00:00.000000");
-    EXPECT_EQ(_fields[0]->type->to_string(*column, 1), "1970-01-01 00:00:01.234567");
-    EXPECT_EQ(_fields[0]->type->to_string(*column, 2), "2021-01-01 00:00:00.000000");
-    EXPECT_EQ(_fields[0]->type->to_string(*column, 4), "1969-12-31 23:59:59.999999");
+TEST_F(ParquetSerdeReaderTest, ReadInt96TimestampUsesConfiguredParquetTimezoneLikeTrino) {
+    cctz::time_zone shanghai;
+    cctz::time_zone los_angeles;
+    ASSERT_TRUE(cctz::load_time_zone("Asia/Shanghai", &shanghai));
+    ASSERT_TRUE(cctz::load_time_zone("America/Los_Angeles", &los_angeles));
+
+    for (const bool enable_dictionary : {false, true}) {
+        const auto file_path =
+                (_test_dir / (enable_dictionary ? "int96_dict.parquet" : "int96_plain.parquet"))
+                        .string();
+        write_int96_timestamp_file(file_path, enable_dictionary);
+        _fields.clear();
+        _file_reader.reset();
+        _row_group.reset();
+        open_file(file_path);
+
+        ASSERT_EQ(_fields.size(), 1);
+        EXPECT_EQ(_fields[0]->type_descriptor.physical_type, ::parquet::Type::INT96);
+        EXPECT_EQ(_fields[0]->type_descriptor.extra_type_info,
+                  ParquetExtraTypeInfo::IMPALA_TIMESTAMP);
+        ASSERT_TRUE(supports_record_reader(_fields[0]->type_descriptor));
+        ASSERT_EQ(remove_nullable(_fields[0]->type)->get_primitive_type(), TYPE_DATETIMEV2);
+        const auto encodings = _file_reader->metadata()->RowGroup(0)->ColumnChunk(0)->encodings();
+        const bool has_dictionary =
+                std::find(encodings.begin(), encodings.end(),
+                          ::parquet::Encoding::RLE_DICTIONARY) != encodings.end() ||
+                std::find(encodings.begin(), encodings.end(),
+                          ::parquet::Encoding::PLAIN_DICTIONARY) != encodings.end();
+        EXPECT_EQ(has_dictionary, enable_dictionary);
+
+        // The default disables INT96 timezone conversion, so the raw wall-clock value is stable
+        // regardless of the Doris session timezone.
+        expect_int96_timestamp_strings(nullptr,
+                                       {"1970-01-01 00:00:00.000000", "1970-01-01 00:00:01.234567",
+                                        "2021-01-01 00:00:00.000000", "2021-03-14 09:30:00.000000",
+                                        "2021-03-14 10:30:00.000000"});
+        expect_int96_timestamp_strings(&shanghai,
+                                       {"1970-01-01 08:00:00.000000", "1970-01-01 08:00:01.234567",
+                                        "2021-01-01 08:00:00.000000", "2021-03-14 17:30:00.000000",
+                                        "2021-03-14 18:30:00.000000"});
+        // These two UTC instants straddle the 2021 spring-forward transition and verify that the
+        // configured zone applies its DST rules rather than a fixed offset.
+        expect_int96_timestamp_strings(&los_angeles,
+                                       {"1969-12-31 16:00:00.000000", "1969-12-31 16:00:01.234567",
+                                        "2020-12-31 16:00:00.000000", "2021-03-14 01:30:00.000000",
+                                        "2021-03-14 03:30:00.000000"});
+
+        // INT96 is mapped to TIMESTAMPTZ when the scan enables timestamp-with-time-zone mapping.
+        // Passing a non-UTC reader timezone must not change its instant; the timezone only affects
+        // how that instant is rendered later.
+        auto timestamp_tz_type = std::make_shared<DataTypeTimeStampTz>(6);
+        _fields[0]->type = timestamp_tz_type;
+        _fields[0]->type_descriptor.doris_type = timestamp_tz_type;
+        auto timestamp_tz_reader = create_reader(0, &shanghai);
+        ASSERT_NE(timestamp_tz_reader, nullptr);
+        auto timestamp_tz_column = timestamp_tz_type->create_column();
+        int64_t rows_read = 0;
+        ASSERT_TRUE(timestamp_tz_reader->read(ROW_COUNT, timestamp_tz_column, &rows_read).ok());
+        ASSERT_EQ(rows_read, ROW_COUNT);
+        const auto& timestamp_tz_values =
+                assert_cast<const ColumnTimeStampTz&>(*timestamp_tz_column);
+        const auto utc = cctz::utc_time_zone();
+        EXPECT_EQ(timestamp_tz_values.get_element(0).to_string(utc, 6),
+                  "1970-01-01 00:00:00.000000+00:00");
+        EXPECT_EQ(timestamp_tz_values.get_element(1).to_string(utc, 6),
+                  "1970-01-01 00:00:01.234567+00:00");
+        EXPECT_EQ(timestamp_tz_values.get_element(3).to_string(shanghai, 6),
+                  "2021-03-14 17:30:00.000000+08:00");
+    }
 }
 
 } // namespace
diff --git a/fe/fe-core/src/main/java/org/apache/doris/common/util/FileFormatConstants.java b/fe/fe-core/src/main/java/org/apache/doris/common/util/FileFormatConstants.java
index 774ee4e6e838f6..6245983b3d4e22 100644
--- a/fe/fe-core/src/main/java/org/apache/doris/common/util/FileFormatConstants.java
+++ b/fe/fe-core/src/main/java/org/apache/doris/common/util/FileFormatConstants.java
@@ -50,6 +50,7 @@ public class FileFormatConstants {
     public static final String PROP_ENCLOSE = "enclose";
     public static final String PROP_ENABLE_MAPPING_VARBINARY = "enable_mapping_varbinary";
     public static final String PROP_ENABLE_MAPPING_TIMESTAMP_TZ = "enable_mapping_timestamp_tz";
+    public static final String PROP_HIVE_PARQUET_TIME_ZONE = "hive.parquet.time-zone";
 
     // decimal(p,s)
     public static final Pattern DECIMAL_TYPE_PATTERN = Pattern.compile("decimal\\((\\d+),(\\d+)\\)");
diff --git a/fe/fe-core/src/main/java/org/apache/doris/common/util/FileFormatUtils.java b/fe/fe-core/src/main/java/org/apache/doris/common/util/FileFormatUtils.java
index 15240f103b0e51..d9e9efb0ed3e2f 100644
--- a/fe/fe-core/src/main/java/org/apache/doris/common/util/FileFormatUtils.java
+++ b/fe/fe-core/src/main/java/org/apache/doris/common/util/FileFormatUtils.java
@@ -21,16 +21,47 @@
 import org.apache.doris.catalog.PrimitiveType;
 import org.apache.doris.catalog.ScalarType;
 import org.apache.doris.common.AnalysisException;
+import org.apache.doris.common.DdlException;
 import org.apache.doris.common.FeNameFormat;
 
 import com.google.common.base.Strings;
 
+import java.time.DateTimeException;
+import java.time.ZoneId;
 import java.util.List;
+import java.util.Locale;
 import java.util.Optional;
 import java.util.regex.Matcher;
 
 public class FileFormatUtils {
 
+    public static String parseHiveParquetTimeZone(String value) throws DdlException {
+        String timeZone = value.trim();
+        if (timeZone.isEmpty()) {
+            return "";
+        }
+
+        try {
+            String upperCaseTimeZone = timeZone.toUpperCase(Locale.ROOT);
+            boolean isUtcOrGmt = upperCaseTimeZone.equals("UTC") || upperCaseTimeZone.equals("GMT");
+            boolean isShortAlias = ZoneId.SHORT_IDS.containsKey(upperCaseTimeZone)
+                    || upperCaseTimeZone.equals("CST") || upperCaseTimeZone.equals("PRC");
+            if (!isUtcOrGmt && isShortAlias) {
+                throw new DateTimeException("Ambiguous short timezone aliases are not supported");
+            }
+            String standardizedTimeZone = TimeUtils.checkTimeZoneValidAndStandardize(timeZone);
+            if ((standardizedTimeZone.startsWith("UTC") || standardizedTimeZone.startsWith("GMT"))
+                    && standardizedTimeZone.length() > 3) {
+                TimeUtils.checkTimeZoneValidAndStandardize(standardizedTimeZone.substring(3));
+            }
+            return ZoneId.of(standardizedTimeZone).getId();
+        } catch (DdlException | DateTimeException e) {
+            throw new DdlException("The parameter " + FileFormatConstants.PROP_HIVE_PARQUET_TIME_ZONE
+                    + " must be an IANA timezone or UTC offset in the range -12:00 to +14:00; "
+                    + "short timezone aliases are not supported, value is " + timeZone, e);
+        }
+    }
+
     public static boolean isCsv(String formatStr) {
         return FileFormatConstants.FORMAT_CSV.equalsIgnoreCase(formatStr)
                 || FileFormatConstants.FORMAT_CSV_WITH_NAMES.equalsIgnoreCase(formatStr)
diff --git a/fe/fe-core/src/main/java/org/apache/doris/datasource/ExternalTable.java b/fe/fe-core/src/main/java/org/apache/doris/datasource/ExternalTable.java
index 24de55133be39c..926080174654ec 100644
--- a/fe/fe-core/src/main/java/org/apache/doris/datasource/ExternalTable.java
+++ b/fe/fe-core/src/main/java/org/apache/doris/datasource/ExternalTable.java
@@ -26,6 +26,7 @@
 import org.apache.doris.catalog.TableIndexes;
 import org.apache.doris.common.AnalysisException;
 import org.apache.doris.common.Pair;
+import org.apache.doris.common.UserException;
 import org.apache.doris.common.io.Text;
 import org.apache.doris.common.io.Writable;
 import org.apache.doris.common.util.PropertyAnalyzer;
@@ -230,6 +231,10 @@ public String getMetaCacheEngine() {
         return "default";
     }
 
+    public String getHiveParquetTimeZone() throws UserException {
+        return "";
+    }
+
     @Override
     public String getMysqlType() {
         return getType().toMysqlType();
diff --git a/fe/fe-core/src/main/java/org/apache/doris/datasource/FileQueryScanNode.java b/fe/fe-core/src/main/java/org/apache/doris/datasource/FileQueryScanNode.java
index 55da4f30ad7043..7ae158f399e063 100644
--- a/fe/fe-core/src/main/java/org/apache/doris/datasource/FileQueryScanNode.java
+++ b/fe/fe-core/src/main/java/org/apache/doris/datasource/FileQueryScanNode.java
@@ -45,6 +45,7 @@
 import org.apache.doris.spi.Split;
 import org.apache.doris.system.Backend;
 import org.apache.doris.tablefunction.ExternalFileTableValuedFunction;
+import org.apache.doris.tablefunction.TableValuedFunctionIf;
 import org.apache.doris.thrift.TColumnCategory;
 import org.apache.doris.thrift.TExternalScanRange;
 import org.apache.doris.thrift.TFileAttributes;
@@ -191,6 +192,10 @@ protected void initSchemaParams() throws UserException {
         // Set enable_mapping_varbinary from catalog or TVF
         params.setEnableMappingVarbinary(getEnableMappingVarbinary());
         params.setEnableMappingTimestampTz(getEnableMappingTimestampTz());
+        String hiveParquetTimeZone = getHiveParquetTimeZone();
+        if (!hiveParquetTimeZone.isEmpty()) {
+            params.setHiveParquetTimeZone(hiveParquetTimeZone);
+        }
     }
 
     private void updateRequiredSlots() throws UserException {
@@ -677,6 +682,19 @@ protected boolean getEnableMappingTimestampTz() {
         return false;
     }
 
+    protected String getHiveParquetTimeZone() throws UserException {
+        TableIf table = getTargetTable();
+        if (table instanceof ExternalTable) {
+            return ((ExternalTable) table).getHiveParquetTimeZone();
+        }
+        if (table instanceof FunctionGenTable) {
+            FunctionGenTable functionGenTable = (FunctionGenTable) table;
+            TableValuedFunctionIf tvf = functionGenTable.getTvf();
+            return tvf.getHiveParquetTimeZone();
+        }
+        return "";
+    }
+
     protected abstract List<String> getPathPartitionKeys() throws UserException;
 
     protected abstract TableIf getTargetTable() throws UserException;
diff --git a/fe/fe-core/src/main/java/org/apache/doris/datasource/hive/HMSExternalCatalog.java b/fe/fe-core/src/main/java/org/apache/doris/datasource/hive/HMSExternalCatalog.java
index e4157cf72ddadf..3df91cd29bddca 100644
--- a/fe/fe-core/src/main/java/org/apache/doris/datasource/hive/HMSExternalCatalog.java
+++ b/fe/fe-core/src/main/java/org/apache/doris/datasource/hive/HMSExternalCatalog.java
@@ -20,6 +20,8 @@
 import org.apache.doris.catalog.Env;
 import org.apache.doris.common.DdlException;
 import org.apache.doris.common.ThreadPoolManager;
+import org.apache.doris.common.util.FileFormatConstants;
+import org.apache.doris.common.util.FileFormatUtils;
 import org.apache.doris.common.util.Util;
 import org.apache.doris.datasource.CatalogProperty;
 import org.apache.doris.datasource.ExternalCatalog;
@@ -65,7 +67,6 @@ public class HMSExternalCatalog extends ExternalCatalog {
     // But notice that if set to true, the default value of column will be ignored because we cannot get default value
     // from remoteTable object.
     public static final String GET_SCHEMA_FROM_TABLE = "get_schema_from_table";
-
     private static final int FILE_SYSTEM_EXECUTOR_THREAD_NUM = 16;
     private ThreadPoolExecutor fileSystemExecutor;
     private SpiSwitchingFileSystem spiFileSystem;
@@ -123,9 +124,24 @@ public void checkProperties() throws DdlException {
             throw new DdlException(
                     "The parameter " + PARTITION_CACHE_TTL_SECOND + " is wrong, value is " + partitionCacheTtlSecond);
         }
+
+        getHiveParquetTimeZone();
         catalogProperty.checkMetaStoreAndStorageProperties(AbstractHiveProperties.class);
     }
 
+    /**
+     * Timezone used to reverse legacy Parquet INT96 writer normalization. This intentionally
+     * follows Trino's hive.parquet.time-zone catalog property instead of the SQL session timezone.
+     * An empty value keeps INT96 wall-clock fields unchanged. A configured value applies to Hive
+     * and Hudi Parquet files in this catalog because Parquet metadata cannot reliably identify the
+     * writer's timezone convention. Iceberg timestamp semantics are defined by its table format
+     * and intentionally ignore this property.
+     */
+    public String getHiveParquetTimeZone() throws DdlException {
+        return FileFormatUtils.parseHiveParquetTimeZone(catalogProperty.getOrDefault(
+                FileFormatConstants.PROP_HIVE_PARQUET_TIME_ZONE, ""));
+    }
+
     @Override
     protected synchronized void initPreExecutionAuthenticator() {
         if (executionAuthenticator == null) {
diff --git a/fe/fe-core/src/main/java/org/apache/doris/datasource/hive/HMSExternalTable.java b/fe/fe-core/src/main/java/org/apache/doris/datasource/hive/HMSExternalTable.java
index e1311237a603d5..23ec991acbb104 100644
--- a/fe/fe-core/src/main/java/org/apache/doris/datasource/hive/HMSExternalTable.java
+++ b/fe/fe-core/src/main/java/org/apache/doris/datasource/hive/HMSExternalTable.java
@@ -579,6 +579,14 @@ public DLAType getDlaType() {
         return dlaType;
     }
 
+    @Override
+    public String getHiveParquetTimeZone() throws UserException {
+        if (getDlaType() == DLAType.ICEBERG) {
+            return "";
+        }
+        return ((HMSExternalCatalog) getCatalog()).getHiveParquetTimeZone();
+    }
+
     @Override
     public TTableDescriptor toThrift() {
         List<Column> schema = getFullSchema();
diff --git a/fe/fe-core/src/main/java/org/apache/doris/datasource/property/fileformat/ParquetFileFormatProperties.java b/fe/fe-core/src/main/java/org/apache/doris/datasource/property/fileformat/ParquetFileFormatProperties.java
index 9c4d5f2ae494fd..e30a2eec602b80 100644
--- a/fe/fe-core/src/main/java/org/apache/doris/datasource/property/fileformat/ParquetFileFormatProperties.java
+++ b/fe/fe-core/src/main/java/org/apache/doris/datasource/property/fileformat/ParquetFileFormatProperties.java
@@ -61,7 +61,7 @@ public class ParquetFileFormatProperties extends FileFormatProperties {
     private TParquetCompressionType parquetCompressionType = TParquetCompressionType.SNAPPY;
     private boolean parquetDisableDictionary = false;
     private TParquetVersion parquetVersion = TParquetVersion.PARQUET_1_0;
-    private boolean enableInt96Timestamps = true;
+    private boolean enableInt96Timestamps = false;
 
     public ParquetFileFormatProperties() {
         super(TFileFormatType.FORMAT_PARQUET, FileFormatProperties.FORMAT_PARQUET);
@@ -86,7 +86,7 @@ public void analyzeFileFormatProperties(Map<String, String> formatProperties, bo
 
         //save the enable int96 timestamp property
         if (formatProperties.containsKey(ENABLE_INT96_TIMESTAMPS)) {
-            this.enableInt96Timestamps = Boolean.valueOf(formatProperties.get(ENABLE_INT96_TIMESTAMPS)).booleanValue();
+            this.enableInt96Timestamps = parseEnableInt96Timestamps(formatProperties.get(ENABLE_INT96_TIMESTAMPS));
         }
 
         // save all parquet prefix property
@@ -110,6 +110,16 @@ public void analyzeFileFormatProperties(Map<String, String> formatProperties, bo
         }
     }
 
+    public static boolean parseEnableInt96Timestamps(String value) {
+        if ("true".equalsIgnoreCase(value)) {
+            return true;
+        }
+        if ("false".equalsIgnoreCase(value)) {
+            return false;
+        }
+        throw new AnalysisException(ENABLE_INT96_TIMESTAMPS
+                + " should be true or false, but is " + value);
+    }
 
     @Override
     public void fullTResultFileSinkOptions(TResultFileSinkOptions sinkOptions) {
diff --git a/fe/fe-core/src/main/java/org/apache/doris/load/ExportJob.java b/fe/fe-core/src/main/java/org/apache/doris/load/ExportJob.java
index e286bb3e3bacb2..4b311f9319d7e1 100644
--- a/fe/fe-core/src/main/java/org/apache/doris/load/ExportJob.java
+++ b/fe/fe-core/src/main/java/org/apache/doris/load/ExportJob.java
@@ -38,6 +38,7 @@
 import org.apache.doris.common.io.Writable;
 import org.apache.doris.common.util.TimeUtils;
 import org.apache.doris.datasource.InternalCatalog;
+import org.apache.doris.datasource.property.fileformat.ParquetFileFormatProperties;
 import org.apache.doris.nereids.StatementContext;
 import org.apache.doris.nereids.analyzer.UnboundRelation;
 import org.apache.doris.nereids.analyzer.UnboundSlot;
@@ -123,6 +124,8 @@ public class ExportJob implements Writable {
     private String columns;
     @SerializedName("format")
     private String format;
+    @SerializedName("enableInt96Timestamps")
+    private String enableInt96Timestamps;
     @SerializedName("timeoutSecond")
     private int timeoutSecond;
     @SerializedName("maxFileSize")
@@ -484,6 +487,11 @@ private Map<String, String> convertOutfileProperties() {
             outfileProperties.put(ExportCommand.COMPRESS_TYPE, compressType);
         }
 
+        if (enableInt96Timestamps != null) {
+            outfileProperties.put(ParquetFileFormatProperties.ENABLE_INT96_TIMESTAMPS,
+                    enableInt96Timestamps);
+        }
+
         if (!maxFileSize.isEmpty()) {
             outfileProperties.put(OutFileClause.PROP_MAX_FILE_SIZE, maxFileSize);
         }
diff --git a/fe/fe-core/src/main/java/org/apache/doris/nereids/trees/plans/commands/ExportCommand.java b/fe/fe-core/src/main/java/org/apache/doris/nereids/trees/plans/commands/ExportCommand.java
index 3fadf9bc05aba4..19663686f636d4 100644
--- a/fe/fe-core/src/main/java/org/apache/doris/nereids/trees/plans/commands/ExportCommand.java
+++ b/fe/fe-core/src/main/java/org/apache/doris/nereids/trees/plans/commands/ExportCommand.java
@@ -38,6 +38,7 @@
 import org.apache.doris.common.util.PropertyAnalyzer;
 import org.apache.doris.datasource.CatalogIf;
 import org.apache.doris.datasource.InternalCatalog;
+import org.apache.doris.datasource.property.fileformat.ParquetFileFormatProperties;
 import org.apache.doris.load.ExportJob;
 import org.apache.doris.mysql.privilege.PrivPredicate;
 import org.apache.doris.nereids.exceptions.AnalysisException;
@@ -92,6 +93,7 @@ public class ExportCommand extends Command implements NeedAuditEncryption, Forwa
             .add(PropertyAnalyzer.PROPERTIES_LINE_DELIMITER)
             .add(PropertyAnalyzer.PROPERTIES_TIMEOUT)
             .add("format")
+            .add(ParquetFileFormatProperties.ENABLE_INT96_TIMESTAMPS)
             .add(OutFileClause.PROP_WITH_BOM)
             .add(COMPRESS_TYPE)
             .build();
@@ -291,6 +293,12 @@ private ExportJob generateExportJob(ConnectContext ctx, Map<String, String> file
         exportJob.setFormat(fileProperties.getOrDefault(LoadCommand.KEY_IN_PARAM_FORMAT_TYPE, "csv")
                 .toLowerCase());
 
+        String enableInt96Timestamps = fileProperties.get(ParquetFileFormatProperties.ENABLE_INT96_TIMESTAMPS);
+        if (enableInt96Timestamps != null) {
+            ParquetFileFormatProperties.parseEnableInt96Timestamps(enableInt96Timestamps);
+        }
+        exportJob.setEnableInt96Timestamps(enableInt96Timestamps);
+
         // set withBom
         exportJob.setWithBom(fileProperties.getOrDefault(OutFileClause.PROP_WITH_BOM, "false"));
 
@@ -431,4 +439,3 @@ public String toDigest() {
         return sb.toString();
     }
 }
-
diff --git a/fe/fe-core/src/main/java/org/apache/doris/tablefunction/ExternalFileTableValuedFunction.java b/fe/fe-core/src/main/java/org/apache/doris/tablefunction/ExternalFileTableValuedFunction.java
index 6c7962e7267033..8304e19c8b5948 100644
--- a/fe/fe-core/src/main/java/org/apache/doris/tablefunction/ExternalFileTableValuedFunction.java
+++ b/fe/fe-core/src/main/java/org/apache/doris/tablefunction/ExternalFileTableValuedFunction.java
@@ -34,6 +34,7 @@
 import org.apache.doris.catalog.VariantType;
 import org.apache.doris.common.AnalysisException;
 import org.apache.doris.common.Config;
+import org.apache.doris.common.DdlException;
 import org.apache.doris.common.ErrorCode;
 import org.apache.doris.common.Pair;
 import org.apache.doris.common.UserException;
@@ -131,6 +132,7 @@ public abstract class ExternalFileTableValuedFunction extends TableValuedFunctio
     protected Optional<String> resourceName = Optional.empty();
 
     public FileFormatProperties fileFormatProperties;
+    private String hiveParquetTimeZone = "";
     private long tableId;
 
     public abstract TFileType getTFileType();
@@ -224,6 +226,14 @@ protected Map<String, String> parseCommonProperties(Map<String, String> properti
                 FileFormatConstants.PROP_ENABLE_MAPPING_TIMESTAMP_TZ, "false");
         fileFormatProperties.enableMappingTimestampTz = Boolean.parseBoolean(enableMappingTimestampTzStr);
 
+        String hiveParquetTimeZone = getOrDefaultAndRemove(copiedProps,
+                FileFormatConstants.PROP_HIVE_PARQUET_TIME_ZONE, "");
+        try {
+            this.hiveParquetTimeZone = FileFormatUtils.parseHiveParquetTimeZone(hiveParquetTimeZone);
+        } catch (DdlException e) {
+            throw new AnalysisException(e.getMessage(), e);
+        }
+
         fileFormatProperties.analyzeFileFormatProperties(copiedProps, true);
 
         if (fileFormatProperties instanceof CsvFileFormatProperties
@@ -255,6 +265,11 @@ public List<TBrokerFileStatus> getFileStatuses() {
         return fileStatuses;
     }
 
+    @Override
+    public String getHiveParquetTimeZone() {
+        return hiveParquetTimeZone;
+    }
+
     public TFileAttributes getFileAttributes() {
         return fileFormatProperties.toTFileAttributes();
     }
@@ -478,6 +493,10 @@ private PFetchTableSchemaRequest getFetchTableStructureRequest() throws TExcepti
         // table function fetch schema, whether to enable mapping varbinary
         fileScanRangeParams.setEnableMappingVarbinary(fileFormatProperties.enableMappingVarbinary);
         fileScanRangeParams.setEnableMappingTimestampTz(fileFormatProperties.enableMappingTimestampTz);
+        String hiveParquetTimeZone = getHiveParquetTimeZone();
+        if (!hiveParquetTimeZone.isEmpty()) {
+            fileScanRangeParams.setHiveParquetTimeZone(hiveParquetTimeZone);
+        }
 
         if (getTFileType() == TFileType.FILE_STREAM) {
             fileStatuses.add(new TBrokerFileStatus("", false, -1, true));
diff --git a/fe/fe-core/src/main/java/org/apache/doris/tablefunction/FileTableValuedFunction.java b/fe/fe-core/src/main/java/org/apache/doris/tablefunction/FileTableValuedFunction.java
index 2cb5bedb4463ce..03d260c9f861f5 100644
--- a/fe/fe-core/src/main/java/org/apache/doris/tablefunction/FileTableValuedFunction.java
+++ b/fe/fe-core/src/main/java/org/apache/doris/tablefunction/FileTableValuedFunction.java
@@ -109,6 +109,11 @@ public TFileAttributes getFileAttributes() {
         return delegateTvf.getFileAttributes();
     }
 
+    @Override
+    public String getHiveParquetTimeZone() {
+        return delegateTvf.getHiveParquetTimeZone();
+    }
+
     @Override
     public void checkAuth(ConnectContext ctx) {
         delegateTvf.checkAuth(ctx);
diff --git a/fe/fe-core/src/main/java/org/apache/doris/tablefunction/TableValuedFunctionIf.java b/fe/fe-core/src/main/java/org/apache/doris/tablefunction/TableValuedFunctionIf.java
index a36c289aca182c..e637317b1165e4 100644
--- a/fe/fe-core/src/main/java/org/apache/doris/tablefunction/TableValuedFunctionIf.java
+++ b/fe/fe-core/src/main/java/org/apache/doris/tablefunction/TableValuedFunctionIf.java
@@ -115,6 +115,10 @@ public static TableValuedFunctionIf getTableFunction(String funcName, Map<String
 
     public abstract ScanNode getScanNode(PlanNodeId id, TupleDescriptor desc, SessionVariable sv);
 
+    public String getHiveParquetTimeZone() {
+        return "";
+    }
+
     public void checkAuth(ConnectContext ctx) {
 
     }
diff --git a/fe/fe-core/src/test/java/org/apache/doris/datasource/FileQueryScanNodeTest.java b/fe/fe-core/src/test/java/org/apache/doris/datasource/FileQueryScanNodeTest.java
index 752ee5195a4398..5cb69c2bee8dc9 100644
--- a/fe/fe-core/src/test/java/org/apache/doris/datasource/FileQueryScanNodeTest.java
+++ b/fe/fe-core/src/test/java/org/apache/doris/datasource/FileQueryScanNodeTest.java
@@ -22,12 +22,22 @@
 import org.apache.doris.analysis.TupleDescriptor;
 import org.apache.doris.analysis.TupleId;
 import org.apache.doris.catalog.Column;
+import org.apache.doris.catalog.FunctionGenTable;
 import org.apache.doris.catalog.TableIf;
 import org.apache.doris.catalog.Type;
+import org.apache.doris.common.FeConstants;
 import org.apache.doris.common.UserException;
+import org.apache.doris.common.util.FileFormatConstants;
+import org.apache.doris.datasource.hive.HMSExternalCatalog;
+import org.apache.doris.datasource.hive.HMSExternalTable;
+import org.apache.doris.datasource.hive.HMSExternalTable.DLAType;
+import org.apache.doris.datasource.property.fileformat.ParquetFileFormatProperties;
 import org.apache.doris.planner.PlanNodeId;
 import org.apache.doris.planner.ScanContext;
 import org.apache.doris.qe.SessionVariable;
+import org.apache.doris.tablefunction.ExternalFileTableValuedFunction;
+import org.apache.doris.tablefunction.FileTableValuedFunction;
+import org.apache.doris.tablefunction.JdbcQueryTableValueFunction;
 import org.apache.doris.thrift.TColumnCategory;
 import org.apache.doris.thrift.TExpr;
 import org.apache.doris.thrift.TFileFormatType;
@@ -42,6 +52,7 @@
 import java.lang.reflect.Method;
 import java.util.Arrays;
 import java.util.Collections;
+import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
 
@@ -75,6 +86,10 @@ void setTargetTable(TableIf targetTable) {
             this.targetTable = targetTable;
         }
 
+        void initSchemaParamsForTest() throws UserException {
+            initSchemaParams();
+        }
+
         @Override
         protected TFileFormatType getFileFormatType() throws UserException {
             return TFileFormatType.FORMAT_ORC;
@@ -129,6 +144,142 @@ public void testApplyMaxFileSplitNumLimitDisabled() {
         Assert.assertEquals(32 * MB, target);
     }
 
+    @Test
+    public void testHiveParquetTimezoneOverridesDifferentSessionTimezoneInScanParams() throws Exception {
+        Map<String, String> properties = new HashMap<>();
+        properties.put("type", "hms");
+        properties.put("hive.metastore.uris", "thrift://localhost:9083");
+        properties.put(FileFormatConstants.PROP_HIVE_PARQUET_TIME_ZONE, "8:00");
+        HMSExternalCatalog catalog = new HMSExternalCatalog(1, "hms", null, properties, "");
+        catalog.checkProperties();
+
+        HMSExternalTable hmsTable = Mockito.mock(HMSExternalTable.class, Mockito.CALLS_REAL_METHODS);
+        Mockito.doReturn(catalog).when(hmsTable).getCatalog();
+        Mockito.doReturn(DLAType.HIVE).when(hmsTable).getDlaType();
+        Mockito.doReturn(Collections.emptyList()).when(hmsTable).getBaseSchema(false);
+        Mockito.doReturn(Collections.emptyList()).when(hmsTable).getFullSchema();
+        SessionVariable sessionVariable = new SessionVariable();
+        sessionVariable.setTimeZone("America/Los_Angeles");
+        TestFileQueryScanNode node = new TestFileQueryScanNode(sessionVariable);
+        node.setTargetTable(hmsTable);
+        node.getTupleDescriptor().setTable(hmsTable);
+
+        node.initSchemaParamsForTest();
+
+        Assert.assertEquals("+08:00", node.getFileScanRangeParams().getHiveParquetTimeZone());
+        Assert.assertNotEquals(sessionVariable.getTimeZone(),
+                node.getFileScanRangeParams().getHiveParquetTimeZone());
+
+        SessionVariable differentSessionVariable = new SessionVariable();
+        differentSessionVariable.setTimeZone("Asia/Tokyo");
+        TestFileQueryScanNode nodeWithDifferentSession = new TestFileQueryScanNode(differentSessionVariable);
+        nodeWithDifferentSession.setTargetTable(hmsTable);
+        nodeWithDifferentSession.getTupleDescriptor().setTable(hmsTable);
+        nodeWithDifferentSession.initSchemaParamsForTest();
+
+        Assert.assertEquals(node.getFileScanRangeParams().getHiveParquetTimeZone(),
+                nodeWithDifferentSession.getFileScanRangeParams().getHiveParquetTimeZone());
+    }
+
+    @Test
+    public void testHiveParquetTimezoneIsNotSetForHmsIcebergTable() throws Exception {
+        HMSExternalCatalog catalog = Mockito.mock(HMSExternalCatalog.class);
+        Mockito.when(catalog.getHiveParquetTimeZone()).thenReturn("Asia/Shanghai");
+        HMSExternalTable hmsTable = Mockito.mock(HMSExternalTable.class, Mockito.CALLS_REAL_METHODS);
+        Mockito.doReturn(catalog).when(hmsTable).getCatalog();
+        Mockito.doReturn(DLAType.ICEBERG).when(hmsTable).getDlaType();
+        Mockito.doReturn(Collections.emptyList()).when(hmsTable).getBaseSchema(false);
+        Mockito.doReturn(Collections.emptyList()).when(hmsTable).getFullSchema();
+
+        TestFileQueryScanNode node = new TestFileQueryScanNode(new SessionVariable());
+        node.setTargetTable(hmsTable);
+        node.getTupleDescriptor().setTable(hmsTable);
+        node.initSchemaParamsForTest();
+
+        Assert.assertFalse(node.getFileScanRangeParams().isSetHiveParquetTimeZone());
+    }
+
+    @Test
+    public void testHiveParquetTimezoneIsSetForHmsHudiTable() throws Exception {
+        HMSExternalCatalog catalog = Mockito.mock(HMSExternalCatalog.class);
+        Mockito.when(catalog.getHiveParquetTimeZone()).thenReturn("Asia/Shanghai");
+        HMSExternalTable hmsTable = Mockito.mock(HMSExternalTable.class, Mockito.CALLS_REAL_METHODS);
+        Mockito.doReturn(catalog).when(hmsTable).getCatalog();
+        Mockito.doReturn(DLAType.HUDI).when(hmsTable).getDlaType();
+        Mockito.doReturn(Collections.emptyList()).when(hmsTable).getBaseSchema(false);
+        Mockito.doReturn(Collections.emptyList()).when(hmsTable).getFullSchema();
+
+        TestFileQueryScanNode node = new TestFileQueryScanNode(new SessionVariable());
+        node.setTargetTable(hmsTable);
+        node.getTupleDescriptor().setTable(hmsTable);
+        node.initSchemaParamsForTest();
+
+        Assert.assertEquals("Asia/Shanghai", node.getFileScanRangeParams().getHiveParquetTimeZone());
+    }
+
+    @Test
+    public void testHiveParquetTimezoneComesFromTableValuedFunction() throws Exception {
+        ExternalFileTableValuedFunction tvf = Mockito.mock(ExternalFileTableValuedFunction.class);
+        tvf.fileFormatProperties = new ParquetFileFormatProperties();
+        Mockito.when(tvf.getHiveParquetTimeZone()).thenReturn("Asia/Shanghai");
+        FunctionGenTable functionGenTable = Mockito.mock(FunctionGenTable.class);
+        Mockito.when(functionGenTable.getTvf()).thenReturn(tvf);
+        Mockito.when(functionGenTable.getBaseSchema(false)).thenReturn(Collections.emptyList());
+        Mockito.when(functionGenTable.getFullSchema()).thenReturn(Collections.emptyList());
+
+        TestFileQueryScanNode node = new TestFileQueryScanNode(new SessionVariable());
+        node.setTargetTable(functionGenTable);
+        node.getTupleDescriptor().setTable(functionGenTable);
+        node.initSchemaParamsForTest();
+
+        Assert.assertEquals("Asia/Shanghai", node.getFileScanRangeParams().getHiveParquetTimeZone());
+    }
+
+    @Test
+    public void testHiveParquetTimezoneComesFromFileTableValuedFunctionDelegate() throws Exception {
+        Map<String, String> properties = new HashMap<>();
+        properties.put("uri", "s3://bucket/path/file.parquet");
+        properties.put("s3.endpoint", "s3.us-east-1.amazonaws.com");
+        properties.put("s3.region", "us-east-1");
+        properties.put("s3.access_key", "access-key");
+        properties.put("s3.secret_key", "secret-key");
+        properties.put(FileFormatConstants.PROP_FORMAT, FileFormatConstants.FORMAT_PARQUET);
+        properties.put(FileFormatConstants.PROP_HIVE_PARQUET_TIME_ZONE, "Asia/Shanghai");
+
+        boolean originalRunningUnitTest = FeConstants.runningUnitTest;
+        FeConstants.runningUnitTest = true;
+        try {
+            FileTableValuedFunction tvf = new FileTableValuedFunction(properties);
+            tvf.fileFormatProperties = new ParquetFileFormatProperties();
+            FunctionGenTable functionGenTable = new FunctionGenTable(
+                    -1, "file", TableIf.TableType.TABLE_VALUED_FUNCTION, Collections.emptyList(), tvf);
+
+            TestFileQueryScanNode node = new TestFileQueryScanNode(new SessionVariable());
+            node.setTargetTable(functionGenTable);
+            node.getTupleDescriptor().setTable(functionGenTable);
+            node.initSchemaParamsForTest();
+
+            Assert.assertEquals("Asia/Shanghai", node.getFileScanRangeParams().getHiveParquetTimeZone());
+        } finally {
+            FeConstants.runningUnitTest = originalRunningUnitTest;
+        }
+    }
+
+    @Test
+    public void testHiveParquetTimezoneIgnoresJdbcQueryTableValuedFunction() throws Exception {
+        JdbcQueryTableValueFunction tvf = Mockito.mock(
+                JdbcQueryTableValueFunction.class, Mockito.CALLS_REAL_METHODS);
+        FunctionGenTable functionGenTable = new FunctionGenTable(
+                -1, "query", TableIf.TableType.TABLE_VALUED_FUNCTION, Collections.emptyList(), tvf);
+        TestFileQueryScanNode node = new TestFileQueryScanNode(new SessionVariable());
+        node.setTargetTable(functionGenTable);
+        node.getTupleDescriptor().setTable(functionGenTable);
+
+        node.initSchemaParamsForTest();
+
+        Assert.assertFalse(node.getFileScanRangeParams().isSetHiveParquetTimeZone());
+    }
+
     @Test
     public void testUpdateRequiredSlotsPreservesInlineDefaultValueExpr() throws Exception {
         SessionVariable sv = new SessionVariable();
diff --git a/fe/fe-core/src/test/java/org/apache/doris/datasource/hive/HMSExternalCatalogParquetTimeZoneTest.java b/fe/fe-core/src/test/java/org/apache/doris/datasource/hive/HMSExternalCatalogParquetTimeZoneTest.java
new file mode 100644
index 00000000000000..6ecdf384bfb8de
--- /dev/null
+++ b/fe/fe-core/src/test/java/org/apache/doris/datasource/hive/HMSExternalCatalogParquetTimeZoneTest.java
@@ -0,0 +1,88 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license agreements.  See the NOTICE file
+// distributed with this work for additional information
+// regarding copyright ownership.  The ASF licenses this file
+// to you under the Apache License, Version 2.0 (the
+// "License"); you may not use this file except in compliance
+// with the License.  You may obtain a copy of the License at
+//
+//   http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing,
+// software distributed under the License is distributed on an
+// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+// KIND, either express or implied.  See the License for the
+// specific language governing permissions and limitations
+// under the License.
+
+package org.apache.doris.datasource.hive;
+
+import org.apache.doris.common.DdlException;
+import org.apache.doris.common.util.FileFormatConstants;
+
+import org.junit.jupiter.api.Assertions;
+import org.junit.jupiter.api.Test;
+
+import java.util.HashMap;
+import java.util.Map;
+
+public class HMSExternalCatalogParquetTimeZoneTest {
+    private static Map<String, String> baseProperties() {
+        Map<String, String> properties = new HashMap<>();
+        properties.put("type", "hms");
+        properties.put("hive.metastore.uris", "thrift://localhost:9083");
+        return properties;
+    }
+
+    @Test
+    public void testHiveParquetTimeZoneDefaultsToDisabled() throws Exception {
+        HMSExternalCatalog catalog = new HMSExternalCatalog(1, "hms", null, baseProperties(), "");
+        Assertions.assertEquals("", catalog.getHiveParquetTimeZone());
+    }
+
+    @Test
+    public void testHiveParquetTimeZoneAcceptsIanaZoneAndUtcOffset() throws Exception {
+        for (String timezone : new String[] {
+                "Asia/Shanghai", "+08:00", "UTC", "+14:00", "-12:00", "UTC+14:00", "GMT-12:00"
+        }) {
+            Map<String, String> properties = baseProperties();
+            properties.put(FileFormatConstants.PROP_HIVE_PARQUET_TIME_ZONE, timezone);
+            HMSExternalCatalog catalog = new HMSExternalCatalog(1, "hms", null, properties, "");
+            catalog.checkProperties();
+            Assertions.assertEquals(timezone, catalog.getHiveParquetTimeZone());
+        }
+    }
+
+    @Test
+    public void testHiveParquetTimeZoneCanonicalizesShorthandOffset() throws Exception {
+        Map<String, String> properties = baseProperties();
+        properties.put(FileFormatConstants.PROP_HIVE_PARQUET_TIME_ZONE, "8:00");
+        HMSExternalCatalog catalog = new HMSExternalCatalog(1, "hms", null, properties, "");
+        catalog.checkProperties();
+        Assertions.assertEquals("+08:00", catalog.getHiveParquetTimeZone());
+    }
+
+    @Test
+    public void testHiveParquetTimeZoneRejectsAmbiguousShortAliases() {
+        for (String timezone : new String[] {"AET", "CST", "PRC"}) {
+            Map<String, String> properties = baseProperties();
+            properties.put(FileFormatConstants.PROP_HIVE_PARQUET_TIME_ZONE, timezone);
+            HMSExternalCatalog catalog = new HMSExternalCatalog(1, "hms", null, properties, "");
+            DdlException exception = Assertions.assertThrows(DdlException.class, catalog::checkProperties);
+            Assertions.assertTrue(exception.getMessage().contains("short timezone aliases are not supported"));
+        }
+    }
+
+    @Test
+    public void testHiveParquetTimeZoneRejectsInvalidZone() {
+        for (String timezone : new String[] {
+                "Not/A_Timezone", "+15:00", "-13:00", "UTC+15:00", "GMT-13:00"
+        }) {
+            Map<String, String> properties = baseProperties();
+            properties.put(FileFormatConstants.PROP_HIVE_PARQUET_TIME_ZONE, timezone);
+            HMSExternalCatalog catalog = new HMSExternalCatalog(1, "hms", null, properties, "");
+            DdlException exception = Assertions.assertThrows(DdlException.class, catalog::checkProperties);
+            Assertions.assertTrue(exception.getMessage().contains(FileFormatConstants.PROP_HIVE_PARQUET_TIME_ZONE));
+        }
+    }
+}
diff --git a/fe/fe-core/src/test/java/org/apache/doris/datasource/property/fileformat/ParquetFileFormatPropertiesTest.java b/fe/fe-core/src/test/java/org/apache/doris/datasource/property/fileformat/ParquetFileFormatPropertiesTest.java
index 4d140b2ba57037..0a8831585de4d0 100644
--- a/fe/fe-core/src/test/java/org/apache/doris/datasource/property/fileformat/ParquetFileFormatPropertiesTest.java
+++ b/fe/fe-core/src/test/java/org/apache/doris/datasource/property/fileformat/ParquetFileFormatPropertiesTest.java
@@ -47,7 +47,7 @@ public void testAnalyzeFileFormatProperties() {
 
         Assert.assertEquals(TParquetCompressionType.SNAPPY, parquetFileFormatProperties.getParquetCompressionType());
         Assert.assertEquals(false, parquetFileFormatProperties.isParquetDisableDictionary());
-        Assert.assertTrue(parquetFileFormatProperties.isEnableInt96Timestamps());
+        Assert.assertFalse(parquetFileFormatProperties.isEnableInt96Timestamps());
     }
 
     @Test
@@ -106,6 +106,20 @@ public void testEnableInt96Timestamps() {
         Assert.assertFalse(parquetFileFormatProperties.isEnableInt96Timestamps());
     }
 
+    @Test
+    public void testEnableInt96TimestampsRejectsInvalidBoolean() {
+        for (String value : new String[] {"yes", "1", " true"}) {
+            Map<String, String> properties = new HashMap<>();
+            properties.put("enable_int96_timestamps", value);
+            try {
+                parquetFileFormatProperties.analyzeFileFormatProperties(properties, true);
+                Assert.fail("Expected invalid boolean value to be rejected: " + value);
+            } catch (AnalysisException e) {
+                Assert.assertTrue(e.getMessage().contains("enable_int96_timestamps"));
+            }
+        }
+    }
+
     @Test
     public void testParquetVersion() {
         Map<String, String> properties = new HashMap<>();
diff --git a/fe/fe-core/src/test/java/org/apache/doris/load/ExportJobTest.java b/fe/fe-core/src/test/java/org/apache/doris/load/ExportJobTest.java
new file mode 100644
index 00000000000000..e197eb202c1a90
--- /dev/null
+++ b/fe/fe-core/src/test/java/org/apache/doris/load/ExportJobTest.java
@@ -0,0 +1,48 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license agreements.  See the NOTICE file
+// distributed with this work for additional information
+// regarding copyright ownership.  The ASF licenses this file
+// to you under the Apache License, Version 2.0 (the
+// "License"); you may not use this file except in compliance
+// with the License.  You may obtain a copy of the License at
+//
+//   http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing,
+// software distributed under the License is distributed on an
+// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+// KIND, either express or implied.  See the License for the
+// specific language governing permissions and limitations
+// under the License.
+
+package org.apache.doris.load;
+
+import org.apache.doris.analysis.BrokerDesc;
+import org.apache.doris.common.jmockit.Deencapsulation;
+import org.apache.doris.datasource.property.fileformat.ParquetFileFormatProperties;
+
+import org.junit.Assert;
+import org.junit.Test;
+
+import java.util.Map;
+
+public class ExportJobTest {
+
+    @Test
+    public void testEnableInt96TimestampsOutfileProperty() {
+        ExportJob exportJob = new ExportJob(1);
+        exportJob.setFormat("parquet");
+        exportJob.setMaxFileSize("");
+        exportJob.setBrokerDesc(new BrokerDesc("local"));
+
+        Map<String, String> outfileProperties =
+                Deencapsulation.invoke(exportJob, "convertOutfileProperties");
+        Assert.assertFalse(outfileProperties.containsKey(
+                ParquetFileFormatProperties.ENABLE_INT96_TIMESTAMPS));
+
+        exportJob.setEnableInt96Timestamps("false");
+        outfileProperties = Deencapsulation.invoke(exportJob, "convertOutfileProperties");
+        Assert.assertEquals("false", outfileProperties.get(
+                ParquetFileFormatProperties.ENABLE_INT96_TIMESTAMPS));
+    }
+}
diff --git a/fe/fe-core/src/test/java/org/apache/doris/nereids/trees/plans/commands/ExportCommandTest.java b/fe/fe-core/src/test/java/org/apache/doris/nereids/trees/plans/commands/ExportCommandTest.java
new file mode 100644
index 00000000000000..981b7be805b898
--- /dev/null
+++ b/fe/fe-core/src/test/java/org/apache/doris/nereids/trees/plans/commands/ExportCommandTest.java
@@ -0,0 +1,44 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license agreements.  See the NOTICE file
+// distributed with this work for additional information
+// regarding copyright ownership.  The ASF licenses this file
+// to you under the Apache License, Version 2.0 (the
+// "License"); you may not use this file except in compliance
+// with the License.  You may obtain a copy of the License at
+//
+//   http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing,
+// software distributed under the License is distributed on an
+// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+// KIND, either express or implied.  See the License for the
+// specific language governing permissions and limitations
+// under the License.
+
+package org.apache.doris.nereids.trees.plans.commands;
+
+import org.apache.doris.common.jmockit.Deencapsulation;
+import org.apache.doris.datasource.property.fileformat.ParquetFileFormatProperties;
+
+import com.google.common.collect.ImmutableMap;
+import org.junit.jupiter.api.Assertions;
+import org.junit.jupiter.api.Test;
+
+import java.util.Collections;
+import java.util.Map;
+import java.util.Optional;
+
+public class ExportCommandTest {
+
+    @Test
+    void testEnableInt96TimestampsProperty() {
+        Map<String, String> properties = ImmutableMap.of(
+                ParquetFileFormatProperties.ENABLE_INT96_TIMESTAMPS, "false");
+        ExportCommand exportCommand = new ExportCommand(
+                Collections.singletonList("test_table"), Collections.emptyList(), Optional.empty(),
+                "file:///tmp/export", properties, Optional.empty());
+
+        Assertions.assertDoesNotThrow(
+                () -> Deencapsulation.invoke(exportCommand, "checkPropertyKey", properties));
+    }
+}
diff --git a/fe/fe-core/src/test/java/org/apache/doris/tablefunction/ExternalFileTableValuedFunctionTest.java b/fe/fe-core/src/test/java/org/apache/doris/tablefunction/ExternalFileTableValuedFunctionTest.java
index e5b06bd5dd4101..34df496439589c 100644
--- a/fe/fe-core/src/test/java/org/apache/doris/tablefunction/ExternalFileTableValuedFunctionTest.java
+++ b/fe/fe-core/src/test/java/org/apache/doris/tablefunction/ExternalFileTableValuedFunctionTest.java
@@ -28,11 +28,41 @@
 import com.google.common.collect.Maps;
 import org.junit.Assert;
 import org.junit.Test;
+import org.mockito.Mockito;
 
 import java.util.List;
 import java.util.Map;
 
 public class ExternalFileTableValuedFunctionTest {
+    @Test
+    public void testHiveParquetTimeZoneIsCanonicalizedAndRemovedFromStorageProperties()
+            throws AnalysisException {
+        ExternalFileTableValuedFunction tvf = Mockito.mock(
+                ExternalFileTableValuedFunction.class, Mockito.CALLS_REAL_METHODS);
+        Map<String, String> properties = Maps.newHashMap();
+        properties.put(FileFormatConstants.PROP_FORMAT, FileFormatConstants.FORMAT_PARQUET);
+        properties.put(FileFormatConstants.PROP_HIVE_PARQUET_TIME_ZONE, "8:00");
+
+        Map<String, String> storageProperties = tvf.parseCommonProperties(properties);
+
+        Assert.assertEquals("+08:00", tvf.getHiveParquetTimeZone());
+        Assert.assertFalse(storageProperties.containsKey(FileFormatConstants.PROP_HIVE_PARQUET_TIME_ZONE));
+    }
+
+    @Test
+    public void testHiveParquetTimeZoneRejectsAmbiguousShortAlias() {
+        ExternalFileTableValuedFunction tvf = Mockito.mock(
+                ExternalFileTableValuedFunction.class, Mockito.CALLS_REAL_METHODS);
+        Map<String, String> properties = Maps.newHashMap();
+        properties.put(FileFormatConstants.PROP_FORMAT, FileFormatConstants.FORMAT_PARQUET);
+        properties.put(FileFormatConstants.PROP_HIVE_PARQUET_TIME_ZONE, "CST");
+
+        AnalysisException exception = Assert.assertThrows(
+                AnalysisException.class, () -> tvf.parseCommonProperties(properties));
+
+        Assert.assertTrue(exception.getMessage().contains("short timezone aliases are not supported"));
+    }
+
     @Test
     public void testCsvSchemaParse() {
         Config.enable_date_conversion = true;
diff --git a/gensrc/thrift/PlanNodes.thrift b/gensrc/thrift/PlanNodes.thrift
index b546649933c239..4ae117d94819c5 100644
--- a/gensrc/thrift/PlanNodes.thrift
+++ b/gensrc/thrift/PlanNodes.thrift
@@ -560,6 +560,9 @@ struct TFileScanRangeParams {
     32: optional map<string, string> es_docvalue_context
     // ES fields field→keyword mappings
     33: optional map<string, string> es_fields_context
+    // HMS catalog property hive.parquet.time-zone. When absent, format_v2 keeps INT96 wall-clock
+    // values unchanged. When present, only INT96 TIMESTAMP values are converted with this zone.
+    34: optional string hive_parquet_time_zone
 }
 
 struct TFileRangeDesc {
diff --git a/regression-test/data/export_p0/outfile/parquet/test_outfile_parquet_array_type.out b/regression-test/data/export_p0/outfile/parquet/test_outfile_parquet_array_type.out
index 497fcc7d7b8190..2d11f7eda340a2 100644
--- a/regression-test/data/export_p0/outfile/parquet/test_outfile_parquet_array_type.out
+++ b/regression-test/data/export_p0/outfile/parquet/test_outfile_parquet_array_type.out
@@ -60,12 +60,12 @@
 7	doris7	[null, null, null, "2017-10-01 00:00:00", "2011-10-01 01:23:59"]
 
 -- !select_load_datetime --
-1	doris1	["2017-10-01 00:00:00.000000", "2011-10-01 01:23:59.000000"]
-2	doris2	["2017-10-01 00:00:00.000000", "2011-10-01 01:23:59.000000"]
+1	doris1	["2017-10-01 00:00:00.000", "2011-10-01 01:23:59.000"]
+2	doris2	["2017-10-01 00:00:00.000", "2011-10-01 01:23:59.000"]
 3	doris3	[]
-5	doris5	["2017-10-01 00:00:00.000000", null, "2017-10-01 00:00:00.000000"]
+5	doris5	["2017-10-01 00:00:00.000", null, "2017-10-01 00:00:00.000"]
 6	doris6	[null, null, null]
-7	doris7	[null, null, null, "2017-10-01 00:00:00.000000", "2011-10-01 01:23:59.000000"]
+7	doris7	[null, null, null, "2017-10-01 00:00:00.000", "2011-10-01 01:23:59.000"]
 
 -- !select_base_varchar --
 1	doris1	["2017-10-01 00:00:00", "2011-10-01 01:23:59"]
diff --git a/regression-test/data/export_p0/outfile/parquet/test_outfile_parquet_complex_type.out b/regression-test/data/export_p0/outfile/parquet/test_outfile_parquet_complex_type.out
index cd7fe1e40fdb2d..8d8eb55024f07c 100644
--- a/regression-test/data/export_p0/outfile/parquet/test_outfile_parquet_complex_type.out
+++ b/regression-test/data/export_p0/outfile/parquet/test_outfile_parquet_complex_type.out
@@ -116,26 +116,26 @@
 10	doris_10	{"user_id":10, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00", "city":null, "age":null, "sex":null, "bool_col":null, "int_col":null, "bigint_col":null, "largeint_col":null, "float_col":null, "double_col":null, "char_col":null, "decimal_col":null}
 
 -- !select_load7 --
-1	doris_1	{"user_id":1, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000000", "city":"Beijing", "age":1, "sex":1, "bool_col":1, "int_col":1, "bigint_col":1, "largeint_col":"1", "float_col":1.1, "double_col":1.1, "char_col":"char1_1234", "decimal_col":1.000000000}
-2	doris_2	{"user_id":2, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000000", "city":"Beijing", "age":2, "sex":2, "bool_col":1, "int_col":2, "bigint_col":2, "largeint_col":"2", "float_col":2.2, "double_col":2.2, "char_col":"char2_1234", "decimal_col":2.000000000}
-3	doris_3	{"user_id":3, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000000", "city":"Beijing", "age":3, "sex":3, "bool_col":1, "int_col":3, "bigint_col":3, "largeint_col":"3", "float_col":3.3, "double_col":3.3, "char_col":"char3_1234", "decimal_col":3.000000000}
-4	doris_4	{"user_id":4, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000000", "city":"Beijing", "age":4, "sex":4, "bool_col":1, "int_col":4, "bigint_col":4, "largeint_col":"4", "float_col":4.4, "double_col":4.4, "char_col":"char4_1234", "decimal_col":4.000000000}
-5	doris_5	{"user_id":5, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000000", "city":"Beijing", "age":5, "sex":5, "bool_col":1, "int_col":5, "bigint_col":5, "largeint_col":"5", "float_col":5.5, "double_col":5.5, "char_col":"char5_1234", "decimal_col":5.000000000}
-6	doris_6	{"user_id":6, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000000", "city":"Beijing", "age":6, "sex":6, "bool_col":1, "int_col":6, "bigint_col":6, "largeint_col":"6", "float_col":6.6, "double_col":6.6, "char_col":"char6_1234", "decimal_col":6.000000000}
-7	doris_7	{"user_id":7, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000000", "city":"Beijing", "age":7, "sex":7, "bool_col":1, "int_col":7, "bigint_col":7, "largeint_col":"7", "float_col":7.7, "double_col":7.7, "char_col":"char7_1234", "decimal_col":7.000000000}
-8	doris_8	{"user_id":8, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000000", "city":"Beijing", "age":8, "sex":8, "bool_col":1, "int_col":8, "bigint_col":8, "largeint_col":"8", "float_col":8.8, "double_col":8.800000000000001, "char_col":"char8_1234", "decimal_col":8.000000000}
-9	doris_9	{"user_id":9, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000000", "city":"Beijing", "age":9, "sex":9, "bool_col":1, "int_col":9, "bigint_col":9, "largeint_col":"9", "float_col":9.9, "double_col":9.9, "char_col":"char9_1234", "decimal_col":9.000000000}
-10	doris_10	{"user_id":10, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000000", "city":null, "age":null, "sex":null, "bool_col":null, "int_col":null, "bigint_col":null, "largeint_col":null, "float_col":null, "double_col":null, "char_col":null, "decimal_col":null}
+1	doris_1	{"user_id":1, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000", "city":"Beijing", "age":1, "sex":1, "bool_col":1, "int_col":1, "bigint_col":1, "largeint_col":"1", "float_col":1.1, "double_col":1.1, "char_col":"char1_1234", "decimal_col":1.000000000}
+2	doris_2	{"user_id":2, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000", "city":"Beijing", "age":2, "sex":2, "bool_col":1, "int_col":2, "bigint_col":2, "largeint_col":"2", "float_col":2.2, "double_col":2.2, "char_col":"char2_1234", "decimal_col":2.000000000}
+3	doris_3	{"user_id":3, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000", "city":"Beijing", "age":3, "sex":3, "bool_col":1, "int_col":3, "bigint_col":3, "largeint_col":"3", "float_col":3.3, "double_col":3.3, "char_col":"char3_1234", "decimal_col":3.000000000}
+4	doris_4	{"user_id":4, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000", "city":"Beijing", "age":4, "sex":4, "bool_col":1, "int_col":4, "bigint_col":4, "largeint_col":"4", "float_col":4.4, "double_col":4.4, "char_col":"char4_1234", "decimal_col":4.000000000}
+5	doris_5	{"user_id":5, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000", "city":"Beijing", "age":5, "sex":5, "bool_col":1, "int_col":5, "bigint_col":5, "largeint_col":"5", "float_col":5.5, "double_col":5.5, "char_col":"char5_1234", "decimal_col":5.000000000}
+6	doris_6	{"user_id":6, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000", "city":"Beijing", "age":6, "sex":6, "bool_col":1, "int_col":6, "bigint_col":6, "largeint_col":"6", "float_col":6.6, "double_col":6.6, "char_col":"char6_1234", "decimal_col":6.000000000}
+7	doris_7	{"user_id":7, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000", "city":"Beijing", "age":7, "sex":7, "bool_col":1, "int_col":7, "bigint_col":7, "largeint_col":"7", "float_col":7.7, "double_col":7.7, "char_col":"char7_1234", "decimal_col":7.000000000}
+8	doris_8	{"user_id":8, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000", "city":"Beijing", "age":8, "sex":8, "bool_col":1, "int_col":8, "bigint_col":8, "largeint_col":"8", "float_col":8.8, "double_col":8.800000000000001, "char_col":"char8_1234", "decimal_col":8.000000000}
+9	doris_9	{"user_id":9, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000", "city":"Beijing", "age":9, "sex":9, "bool_col":1, "int_col":9, "bigint_col":9, "largeint_col":"9", "float_col":9.9, "double_col":9.9, "char_col":"char9_1234", "decimal_col":9.000000000}
+10	doris_10	{"user_id":10, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000", "city":null, "age":null, "sex":null, "bool_col":null, "int_col":null, "bigint_col":null, "largeint_col":null, "float_col":null, "double_col":null, "char_col":null, "decimal_col":null}
 
 -- !select_load7 --
-1	doris_1	{"user_id":1, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000000", "city":"Beijing", "age":1, "sex":1, "bool_col":1, "int_col":1, "bigint_col":1, "largeint_col":"1", "float_col":1.1, "double_col":1.1, "char_col":"char1_1234", "decimal_col":1.000000000}
-2	doris_2	{"user_id":2, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000000", "city":"Beijing", "age":2, "sex":2, "bool_col":1, "int_col":2, "bigint_col":2, "largeint_col":"2", "float_col":2.2, "double_col":2.2, "char_col":"char2_1234", "decimal_col":2.000000000}
-3	doris_3	{"user_id":3, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000000", "city":"Beijing", "age":3, "sex":3, "bool_col":1, "int_col":3, "bigint_col":3, "largeint_col":"3", "float_col":3.3, "double_col":3.3, "char_col":"char3_1234", "decimal_col":3.000000000}
-4	doris_4	{"user_id":4, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000000", "city":"Beijing", "age":4, "sex":4, "bool_col":1, "int_col":4, "bigint_col":4, "largeint_col":"4", "float_col":4.4, "double_col":4.4, "char_col":"char4_1234", "decimal_col":4.000000000}
-5	doris_5	{"user_id":5, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000000", "city":"Beijing", "age":5, "sex":5, "bool_col":1, "int_col":5, "bigint_col":5, "largeint_col":"5", "float_col":5.5, "double_col":5.5, "char_col":"char5_1234", "decimal_col":5.000000000}
-6	doris_6	{"user_id":6, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000000", "city":"Beijing", "age":6, "sex":6, "bool_col":1, "int_col":6, "bigint_col":6, "largeint_col":"6", "float_col":6.6, "double_col":6.6, "char_col":"char6_1234", "decimal_col":6.000000000}
-7	doris_7	{"user_id":7, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000000", "city":"Beijing", "age":7, "sex":7, "bool_col":1, "int_col":7, "bigint_col":7, "largeint_col":"7", "float_col":7.7, "double_col":7.7, "char_col":"char7_1234", "decimal_col":7.000000000}
-8	doris_8	{"user_id":8, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000000", "city":"Beijing", "age":8, "sex":8, "bool_col":1, "int_col":8, "bigint_col":8, "largeint_col":"8", "float_col":8.8, "double_col":8.800000000000001, "char_col":"char8_1234", "decimal_col":8.000000000}
-9	doris_9	{"user_id":9, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000000", "city":"Beijing", "age":9, "sex":9, "bool_col":1, "int_col":9, "bigint_col":9, "largeint_col":"9", "float_col":9.9, "double_col":9.9, "char_col":"char9_1234", "decimal_col":9.000000000}
-10	doris_10	{"user_id":10, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000000", "city":null, "age":null, "sex":null, "bool_col":null, "int_col":null, "bigint_col":null, "largeint_col":null, "float_col":null, "double_col":null, "char_col":null, "decimal_col":null}
+1	doris_1	{"user_id":1, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000", "city":"Beijing", "age":1, "sex":1, "bool_col":1, "int_col":1, "bigint_col":1, "largeint_col":"1", "float_col":1.1, "double_col":1.1, "char_col":"char1_1234", "decimal_col":1.000000000}
+2	doris_2	{"user_id":2, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000", "city":"Beijing", "age":2, "sex":2, "bool_col":1, "int_col":2, "bigint_col":2, "largeint_col":"2", "float_col":2.2, "double_col":2.2, "char_col":"char2_1234", "decimal_col":2.000000000}
+3	doris_3	{"user_id":3, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000", "city":"Beijing", "age":3, "sex":3, "bool_col":1, "int_col":3, "bigint_col":3, "largeint_col":"3", "float_col":3.3, "double_col":3.3, "char_col":"char3_1234", "decimal_col":3.000000000}
+4	doris_4	{"user_id":4, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000", "city":"Beijing", "age":4, "sex":4, "bool_col":1, "int_col":4, "bigint_col":4, "largeint_col":"4", "float_col":4.4, "double_col":4.4, "char_col":"char4_1234", "decimal_col":4.000000000}
+5	doris_5	{"user_id":5, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000", "city":"Beijing", "age":5, "sex":5, "bool_col":1, "int_col":5, "bigint_col":5, "largeint_col":"5", "float_col":5.5, "double_col":5.5, "char_col":"char5_1234", "decimal_col":5.000000000}
+6	doris_6	{"user_id":6, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000", "city":"Beijing", "age":6, "sex":6, "bool_col":1, "int_col":6, "bigint_col":6, "largeint_col":"6", "float_col":6.6, "double_col":6.6, "char_col":"char6_1234", "decimal_col":6.000000000}
+7	doris_7	{"user_id":7, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000", "city":"Beijing", "age":7, "sex":7, "bool_col":1, "int_col":7, "bigint_col":7, "largeint_col":"7", "float_col":7.7, "double_col":7.7, "char_col":"char7_1234", "decimal_col":7.000000000}
+8	doris_8	{"user_id":8, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000", "city":"Beijing", "age":8, "sex":8, "bool_col":1, "int_col":8, "bigint_col":8, "largeint_col":"8", "float_col":8.8, "double_col":8.800000000000001, "char_col":"char8_1234", "decimal_col":8.000000000}
+9	doris_9	{"user_id":9, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000", "city":"Beijing", "age":9, "sex":9, "bool_col":1, "int_col":9, "bigint_col":9, "largeint_col":"9", "float_col":9.9, "double_col":9.9, "char_col":"char9_1234", "decimal_col":9.000000000}
+10	doris_10	{"user_id":10, "date":"2017-10-01", "datetime":"2017-10-01 00:00:00.000", "city":null, "age":null, "sex":null, "bool_col":null, "int_col":null, "bigint_col":null, "largeint_col":null, "float_col":null, "double_col":null, "char_col":null, "decimal_col":null}
 
diff --git a/regression-test/data/export_p0/outfile/parquet/test_outfile_parquet_map_type.out b/regression-test/data/export_p0/outfile/parquet/test_outfile_parquet_map_type.out
index f210bf62460cda..8c58581f95f858 100644
--- a/regression-test/data/export_p0/outfile/parquet/test_outfile_parquet_map_type.out
+++ b/regression-test/data/export_p0/outfile/parquet/test_outfile_parquet_map_type.out
@@ -218,14 +218,14 @@
 8	doris8	{"2025-12-31 12:01:41":524524, "2006-02-19 09:01:02":2534}
 
 -- !select_load11 --
-1	doris1	{"2023-04-20 01:02:03.000000":null, "2018-04-20 10:40:35.000000":123}
-2	doris2	{"2000-04-20 00:00:00.000000":-2147483648, "1967-12-31 12:24:56.000000":2147483647}
-3	doris3	{"2023-01-01 00:00:00.000000":1246, "2023-02-27 00:01:02.000000":5646}
+1	doris1	{"2023-04-20 01:02:03.000":null, "2018-04-20 10:40:35.000":123}
+2	doris2	{"2000-04-20 00:00:00.000":-2147483648, "1967-12-31 12:24:56.000":2147483647}
+3	doris3	{"2023-01-01 00:00:00.000":1246, "2023-02-27 00:01:02.000":5646}
 4	doris4	{}
 5	doris5	{}
 6	\N	\N
 7	doris7	\N
-8	doris8	{"2025-12-31 12:01:41.000000":524524, "2006-02-19 09:01:02.000000":2534}
+8	doris8	{"2025-12-31 12:01:41.000":524524, "2006-02-19 09:01:02.000":2534}
 
 -- !select_base12 --
 1	doris1	{"2023-04-20":null, "2018-04-20":123}
@@ -278,14 +278,14 @@
 8	doris8	{"2025-12-31 11:22:33":"min_largeint", "2006-02-19 00:44:55":"max_largeint"}
 
 -- !select_load14 --
-1	doris1	{"2023-04-20 12:20:03.000000":"null", "2018-04-20 12:59:59.000000":null}
-2	doris2	{"2000-04-20 23:59:59.000000":"-2147483648", "1967-12-31 00:00:00.000000":"2147483647"}
-3	doris3	{"2023-01-01 07:24:54.000000":"1246", "2023-02-27 15:12:13.000000":"5646"}
+1	doris1	{"2023-04-20 12:20:03.000":"null", "2018-04-20 12:59:59.000":null}
+2	doris2	{"2000-04-20 23:59:59.000":"-2147483648", "1967-12-31 00:00:00.000":"2147483647"}
+3	doris3	{"2023-01-01 07:24:54.000":"1246", "2023-02-27 15:12:13.000":"5646"}
 4	doris4	{}
 5	doris5	{}
 6	\N	\N
 7	doris7	\N
-8	doris8	{"2025-12-31 11:22:33.000000":"min_largeint", "2006-02-19 00:44:55.000000":"max_largeint"}
+8	doris8	{"2025-12-31 11:22:33.000":"min_largeint", "2006-02-19 00:44:55.000":"max_largeint"}
 
 -- !select_base15 --
 1	doris1	{100:"null", 111:"b"}
diff --git a/regression-test/data/external_table_p0/export/hive_read/parquet/test_doris_int96_round_trip.out b/regression-test/data/external_table_p0/export/hive_read/parquet/test_doris_int96_round_trip.out
new file mode 100644
index 00000000000000..5cbdb0c83ce1bc
--- /dev/null
+++ b/regression-test/data/external_table_p0/export/hive_read/parquet/test_doris_int96_round_trip.out
@@ -0,0 +1,7 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !session_timezone --
+America/Los_Angeles
+
+-- !int96_round_trip --
+1	2023-04-20T00:00	2023-04-20T00:00:00.123456
+2	1970-01-01T08:00	1970-01-01T08:00:00.654321
diff --git a/regression-test/data/external_table_p0/paimon/paimon_timestamp_types.out b/regression-test/data/external_table_p0/paimon/paimon_timestamp_types.out
index 9df5553d1493c5..4267bc26cbbbe6 100644
--- a/regression-test/data/external_table_p0/paimon/paimon_timestamp_types.out
+++ b/regression-test/data/external_table_p0/paimon/paimon_timestamp_types.out
@@ -136,4 +136,3 @@
 
 -- !ltz_ntz_simple15 --
 2024-01-02T10:12:34.123456
-
diff --git a/regression-test/data/external_table_p0/tvf/orc_tvf/test_hdfs_orc_group4_orc_files.out b/regression-test/data/external_table_p0/tvf/orc_tvf/test_hdfs_orc_group4_orc_files.out
index 1f5ea9741485ca..855cae3466835c 100644
--- a/regression-test/data/external_table_p0/tvf/orc_tvf/test_hdfs_orc_group4_orc_files.out
+++ b/regression-test/data/external_table_p0/tvf/orc_tvf/test_hdfs_orc_group4_orc_files.out
@@ -1,6 +1,6 @@
 -- This file is automatically generated. You should know what you did if you want to edit this
 -- !test_0 --
-2022-06-10T05:26:22.753999	2022-06-09T21:26:22.753999
+2022-06-10T05:26:22.754	2022-06-09T21:26:22.754
 
 -- !test_1 --
 1	John	Doe
diff --git a/regression-test/data/external_table_p0/tvf/orc_tvf/test_hdfs_orc_group6_orc_files.out b/regression-test/data/external_table_p0/tvf/orc_tvf/test_hdfs_orc_group6_orc_files.out
index 85b52a6b28fb6f..dcf3cdb63ef76f 100644
Binary files a/regression-test/data/external_table_p0/tvf/orc_tvf/test_hdfs_orc_group6_orc_files.out and b/regression-test/data/external_table_p0/tvf/orc_tvf/test_hdfs_orc_group6_orc_files.out differ
diff --git a/regression-test/data/external_table_p0/tvf/test_hdfs_parquet_group1.out b/regression-test/data/external_table_p0/tvf/test_hdfs_parquet_group1.out
index 55ae6199bfb7ad..51c9f773485999 100644
--- a/regression-test/data/external_table_p0/tvf/test_hdfs_parquet_group1.out
+++ b/regression-test/data/external_table_p0/tvf/test_hdfs_parquet_group1.out
@@ -90,9 +90,9 @@
 [{"latitude":0, "longitude":180}, {"latitude":0, "longitude":0}]
 
 -- !test_17 --
-1	1880-01-01T15:58:41
-2	1884-01-01T16:05:43
-3	1990-01-01T16:00
+1	1880-01-01T07:52:58
+2	1884-01-01T08:00
+3	1990-01-01T08:00
 
 -- !test_18 --
 [{"latitude":0, "longitude":0}, null, {"latitude":0, "longitude":180}]
diff --git a/regression-test/data/external_table_p0/tvf/test_hdfs_parquet_group2.out b/regression-test/data/external_table_p0/tvf/test_hdfs_parquet_group2.out
index 79b63e41cc1b4d..7b1744aa72f61d 100644
--- a/regression-test/data/external_table_p0/tvf/test_hdfs_parquet_group2.out
+++ b/regression-test/data/external_table_p0/tvf/test_hdfs_parquet_group2.out
@@ -122,14 +122,14 @@ apple_banana_mango9
 3	Cecilia	2022-11-16T02:32:09.123534
 
 -- !test_17 --
-1001-01-07T17:07:46.123456	1001-01-07T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-08T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-09T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-10T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-11T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-12T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-13T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-14T17:07:46.123456
+1001-01-07T09:02:03.123456	1001-01-07T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-08T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-09T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-10T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-11T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-12T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-13T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-14T09:02:03.123456
 
 -- !test_18 --
 0.00
@@ -151,14 +151,14 @@ apple_banana_mango9
 2
 
 -- !test_20 --
-1001-01-07T17:07:46.123456	1001-01-07T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-08T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-09T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-10T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-11T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-12T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-13T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-14T17:07:46.123456
+1001-01-07T09:02:03.123456	1001-01-07T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-08T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-09T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-10T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-11T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-12T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-13T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-14T09:02:03.123456
 
 -- !test_21 --
 1001-01-07	1001-01-07
@@ -181,14 +181,14 @@ apple_banana_mango9
 1001-01-07T17:07:46.123	1001-01-14T17:07:46.123
 
 -- !test_23 --
-1001-01-07T17:07:46.123456	1001-01-07T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-08T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-09T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-10T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-11T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-12T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-13T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-14T17:07:46.123456
+1001-01-07T09:02:03.123456	1001-01-07T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-08T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-09T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-10T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-11T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-12T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-13T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-14T09:02:03.123456
 
 -- !test_24 --
 false	1	2	3	10	1.2	val_1	val_1	HEARTS	false	1	2	3	10	1.2	val_1	val_1	HEARTS	["arr_1", "arr_2", "arr_3"]	[1]	{1:"val_1", 2:"val_2", 3:"val_3"}	{1:[{"nestedintscolumn":[1, 2, 3], "nestedstringcolumn":"val_1"}, {"nestedintscolumn":[2, 3, 4], "nestedstringcolumn":"val_2"}, {"nestedintscolumn":[3, 4, 5], "nestedstringcolumn":"val_3"}], 2:[{"nestedintscolumn":[1, 2, 3], "nestedstringcolumn":"val_1"}, {"nestedintscolumn":[2, 3, 4], "nestedstringcolumn":"val_2"}, {"nestedintscolumn":[3, 4, 5], "nestedstringcolumn":"val_3"}], 3:[{"nestedintscolumn":[1, 2, 3], "nestedstringcolumn":"val_1"}, {"nestedintscolumn":[2, 3, 4], "nestedstringcolumn":"val_2"}, {"nestedintscolumn":[3, 4, 5], "nestedstringcolumn":"val_3"}]}
@@ -238,14 +238,14 @@ true	8	9	10	80	8.199999999999999	val_8	val_8	SPADES	true	8	9	10	80	8.19999999999
 9.00
 
 -- !test_29 --
-1001-01-07T17:07:46.123456	1001-01-07T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-08T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-09T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-10T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-11T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-12T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-13T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-14T17:07:46.123456
+1001-01-07T09:02:03.123456	1001-01-07T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-08T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-09T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-10T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-11T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-12T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-13T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-14T09:02:03.123456
 
 -- !test_30 --
 \N
@@ -265,14 +265,14 @@ true	8	9	10	80	8.199999999999999	val_8	val_8	SPADES	true	8	9	10	80	8.19999999999
 1970-01-01T08:00:00.010
 
 -- !test_33 --
-1001-01-07T17:07:46.123456	1001-01-07T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-08T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-09T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-10T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-11T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-12T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-13T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-14T17:07:46.123456
+1001-01-07T09:02:03.123456	1001-01-07T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-08T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-09T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-10T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-11T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-12T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-13T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-14T09:02:03.123456
 
 -- !test_34 --
 1001-01-07	1001-01-07
@@ -295,12 +295,12 @@ true	8	9	10	80	8.199999999999999	val_8	val_8	SPADES	true	8	9	10	80	8.19999999999
 1001-01-07T17:07:46.123	1001-01-14T17:07:46.123
 
 -- !test_36 --
-1001-01-07T17:07:46.123456	1001-01-07T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-08T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-09T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-10T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-11T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-12T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-13T17:07:46.123456
-1001-01-07T17:07:46.123456	1001-01-14T17:07:46.123456
+1001-01-07T09:02:03.123456	1001-01-07T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-08T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-09T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-10T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-11T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-12T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-13T09:02:03.123456
+1001-01-07T09:02:03.123456	1001-01-14T09:02:03.123456
 
diff --git a/regression-test/data/external_table_p0/tvf/test_hdfs_parquet_group4.out b/regression-test/data/external_table_p0/tvf/test_hdfs_parquet_group4.out
index d694f2db141554..e05cee918971e3 100644
Binary files a/regression-test/data/external_table_p0/tvf/test_hdfs_parquet_group4.out and b/regression-test/data/external_table_p0/tvf/test_hdfs_parquet_group4.out differ
diff --git a/regression-test/data/external_table_p0/tvf/test_hdfs_parquet_group5.out b/regression-test/data/external_table_p0/tvf/test_hdfs_parquet_group5.out
index c7b9542f5c7662..ccf2d100dfdcf2 100644
Binary files a/regression-test/data/external_table_p0/tvf/test_hdfs_parquet_group5.out and b/regression-test/data/external_table_p0/tvf/test_hdfs_parquet_group5.out differ
diff --git a/regression-test/data/external_table_p0/tvf/test_hdfs_parquet_group6.out b/regression-test/data/external_table_p0/tvf/test_hdfs_parquet_group6.out
index 4fe42d7fcdcc77..4fe18442d22819 100644
--- a/regression-test/data/external_table_p0/tvf/test_hdfs_parquet_group6.out
+++ b/regression-test/data/external_table_p0/tvf/test_hdfs_parquet_group6.out
@@ -65,13 +65,13 @@ value	0	value	value	0	value	value	value	value	value	value	value	value	value	valu
 -- !test_7 --
 \N	\N	\N	\N	false	\N	-30534	-95459914	\N	\N	\N	\N	\N	\N
 \N	\N	\N	HYUWPBeQIs	true	\N	\N	\N	\N	5668838.0	-2.120059243561625e+16	-6097.20	0.00035	-999999999999987628.942299254
-\N	2002-11-27T15:59:05.061	l6wBh	\N	\N	\N	\N	15002	-304114916502530	\N	\N	\N	626149930.15083	-342806041448622928.487799977
-\N	2009-05-28T21:28:07.366	\N	\N	true	\N	327	\N	-6655500289	-64307.05	\N	\N	\N	559739.491848528
-\N	2016-09-28T23:11:08.215	\N	TCo6SPO1zXZ	\N	1	\N	-2	\N	-1.032116E8	\N	-9024.34	23874458.82144	65266925.915131517
-1991-03-16	2010-11-01T11:14:05.926	LkgyT	\N	true	-1	\N	-574	-343357407	\N	\N	\N	\N	\N
-1993-05-23	2017-03-28T10:26:07.676	i61eSAVRBUP	77e7GSkck5	\N	\N	7	\N	\N	-4198450.0	952.7765389591106	\N	\N	\N
+\N	2002-11-27T07:59:05.061	l6wBh	\N	\N	\N	\N	15002	-304114916502530	\N	\N	\N	626149930.15083	-342806041448622928.487799977
+\N	2009-05-28T13:28:07.366	\N	\N	true	\N	327	\N	-6655500289	-64307.05	\N	\N	\N	559739.491848528
+\N	2016-09-28T15:11:08.215	\N	TCo6SPO1zXZ	\N	1	\N	-2	\N	-1.032116E8	\N	-9024.34	23874458.82144	65266925.915131517
+1991-03-16	2010-11-01T03:14:05.926	LkgyT	\N	true	-1	\N	-574	-343357407	\N	\N	\N	\N	\N
+1993-05-23	2017-03-28T02:26:07.676	i61eSAVRBUP	77e7GSkck5	\N	\N	7	\N	\N	-4198450.0	952.7765389591106	\N	\N	\N
 2005-01-25	\N	\N		\N	-5	\N	1921	\N	\N	\N	\N	-999995892.35713	23269406.486042474
-2006-02-27	2001-09-25T16:26:47.300	BPskRWGA	gcmrrVqQt6R	\N	\N	\N	-1543735	\N	2590.209	\N	\N	73497326.28347	-999999999999898938.480337100
+2006-02-27	2001-09-25T08:26:47.300	BPskRWGA	gcmrrVqQt6R	\N	\N	\N	-1543735	\N	2590.209	\N	\N	73497326.28347	-999999999999898938.480337100
 2015-02-20	\N	\N	HQKN4ASUraeL8NNNHh	\N	\N	54	3882526	-856	1.406034	-1.279787767916979e+16	\N	\N	\N
 
 -- !test_8 --
@@ -87,16 +87,16 @@ value	0	value	value	0	value	value	value	value	value	value	value	value	value	valu
 9	99992	9	[9, null, 992]
 
 -- !test_9 --
-1993-07-09	2016-11-28T16:57:26.412	OAtaHgz9a7	Q	true	6	-19	-38	9097047508263797290	7731680.0	-121728722.2031124	-1154.82	752082487.88019	5.7E-8
-1995-10-13	2018-07-25T13:28:16.353	6B1MKHZbNj	Ue	false	-3	6483	-10	276697333351	66.8299	-2993435.894921361	0.50	-18062223.54616	5.964274135
-2003-05-21	2007-11-19T11:40:17.021	Wl7r6JqbodTF9RZjg2M	cXiMBdxi4r4Lhd	false	15	-32768	54878688	-464978533025156213	8051.383	-33985165651.60472	-243.23	181891130.71682	460802553225718373.114208380
-2004-11-10	2007-11-15T20:35:43.718	KQ	KH	false	0	-16257	272	38140166608	-1.679896E8	428194.3986519449	5497.48	10.46596	-420009827642394960.188567358
-2008-04-22	2002-12-25T12:09:16.420	4kH5O5ybnFKPBl	4xJ0bhE	false	-128	1	-1	548713867	-9408828.0	-3586.981150391522	1133.39	0.00001	-999999999999994163.822122718
-2009-03-31	2012-12-03T18:43:27.198	zwqN6MyIt0sXgtS	famUtQ89d	false	0	3	-11386	-912910402761414	-2.174159	-160640974619.1197	-846.12	-71235588.43915	-999999999999987320.759086933
-2010-10-31	2005-04-17T12:03:23.494	X5BgkX8vfQaR1	0L0cjpDeR	true	-128	2347	170	-9223372036854775808	-19973.1	-67.78219076624707	7733.21	-745864683.31989	0.000049816
-2012-04-25	2019-01-25T18:10:14.405	dSy2VDH	3hAt	false	2	28294	216429	16924943782792692	12260.86	-86480240881.19473	-1296.28	233593957.16006	45878.254447167
-2014-10-30	2009-01-11T11:00:19.863	rRisIUbjYGag5b	HImOsPm3xAK5E	true	-14	2363	-9226116	-1457371919909538548	-5.189642E7	0	-5784.72	437105919.24636	-999999999999999299.479624925
-2018-07-13	2009-06-10T01:57:16.892	JB	Frti1wqV5kkrGusZ1H	true	14	-6	59221576	-408428197	-0.1664757	-2516558996473.452	9621.02	0.26084	-42325491533103445.913484694
+1993-07-09	2016-11-28T08:57:26.412	OAtaHgz9a7	Q	true	6	-19	-38	9097047508263797290	7731680.0	-121728722.2031124	-1154.82	752082487.88019	5.7E-8
+1995-10-13	2018-07-25T05:28:16.353	6B1MKHZbNj	Ue	false	-3	6483	-10	276697333351	66.8299	-2993435.894921361	0.50	-18062223.54616	5.964274135
+2003-05-21	2007-11-19T03:40:17.021	Wl7r6JqbodTF9RZjg2M	cXiMBdxi4r4Lhd	false	15	-32768	54878688	-464978533025156213	8051.383	-33985165651.60472	-243.23	181891130.71682	460802553225718373.114208380
+2004-11-10	2007-11-15T12:35:43.718	KQ	KH	false	0	-16257	272	38140166608	-1.679896E8	428194.3986519449	5497.48	10.46596	-420009827642394960.188567358
+2008-04-22	2002-12-25T04:09:16.420	4kH5O5ybnFKPBl	4xJ0bhE	false	-128	1	-1	548713867	-9408828.0	-3586.981150391522	1133.39	0.00001	-999999999999994163.822122718
+2009-03-31	2012-12-03T10:43:27.198	zwqN6MyIt0sXgtS	famUtQ89d	false	0	3	-11386	-912910402761414	-2.174159	-160640974619.1197	-846.12	-71235588.43915	-999999999999987320.759086933
+2010-10-31	2005-04-17T04:03:23.494	X5BgkX8vfQaR1	0L0cjpDeR	true	-128	2347	170	-9223372036854775808	-19973.1	-67.78219076624707	7733.21	-745864683.31989	0.000049816
+2012-04-25	2019-01-25T10:10:14.405	dSy2VDH	3hAt	false	2	28294	216429	16924943782792692	12260.86	-86480240881.19473	-1296.28	233593957.16006	45878.254447167
+2014-10-30	2009-01-11T03:00:19.863	rRisIUbjYGag5b	HImOsPm3xAK5E	true	-14	2363	-9226116	-1457371919909538548	-5.189642E7	0	-5784.72	437105919.24636	-999999999999999299.479624925
+2018-07-13	2009-06-09T17:57:16.892	JB	Frti1wqV5kkrGusZ1H	true	14	-6	59221576	-408428197	-0.1664757	-2516558996473.452	9621.02	0.26084	-42325491533103445.913484694
 
 -- !test_10 --
 [["1"], ["2"], ["3"]]
@@ -112,9 +112,9 @@ value	0	value	value	0	value	value	value	value	value	value	value	value	value	valu
 
 -- !test_11 --
 \N	\N		F1d35xOVJG31IoyAHK	false	\N	\N	\N	-16116431125110	0.7584148	\N	4482.69	\N	267447479231804607.470906473
-\N	2003-10-28T06:03:36.804	O04hp8wtzdC7zSYtc	\N	\N	-18	-545	-3047	1533338786768	\N	\N	3264.23	\N	\N
-\N	2008-03-21T15:03:02.757	\N	JcKkM	true	127	7173	2469	-268023590206237	\N	-297771931599.887	-5662.19	\N	\N
-1996-12-30	2001-03-24T05:23:39.359	vOnbg7cMnCWq	\N	\N	6	-6	\N	1190871035109913	\N	-1.128227048915135e+18	\N	-780234040.86481	\N
+\N	2003-10-27T22:03:36.804	O04hp8wtzdC7zSYtc	\N	\N	-18	-545	-3047	1533338786768	\N	\N	3264.23	\N	\N
+\N	2008-03-21T07:03:02.757	\N	JcKkM	true	127	7173	2469	-268023590206237	\N	-297771931599.887	-5662.19	\N	\N
+1996-12-30	2001-03-23T21:23:39.359	vOnbg7cMnCWq	\N	\N	6	-6	\N	1190871035109913	\N	-1.128227048915135e+18	\N	-780234040.86481	\N
 2005-04-12	\N	y1eanPF	IgkoA66BE3OXDl52	true	-12	\N	\N	31341103465938607	\N	\N	-3815.76	-999999998.00657	8971757.612018771
 2006-01-15	\N	\N	\N	true	40	\N	\N	\N	\N	224.4690878435726	4164.91	\N	5676520121029773.581110883
 2008-11-08	\N	\N	1VhVt9Epflt7ROPA7	false	60	-3464	0	22085294	-5553881.0	2.171085895925136e+16	7397.38	\N	0.001711346
@@ -148,14 +148,14 @@ value	0	value	value	0	value	value	value	value	value	value	value	value	value	valu
 
 -- !test_14 --
 \N	\N	2	\N	true	\N	\N	137	112616312904	\N	\N	\N	-611304404.17092	\N
-\N	2005-05-13T23:13:16.418	\N	ysoW5wqFAFri	\N	\N	-7	1	-9351934	-451883.7	\N	-3982.29	14533783.04822	-997466062686998917.734291979
-\N	2005-06-16T22:34:54.817	njmbivb	\N	true	41	\N	\N	-1966215586	\N	\N	\N	\N	-712077536464721044.286680021
-\N	2015-02-04T07:41:27.652	\N	dGdjfud4s	false	2	\N	-4961107	68485728	-1.278023E7	\N	\N	-999909210.29165	\N
-\N	2019-10-18T09:37:55.423		5HsKkeBW6H3d	\N	-3	302	\N	\N	\N	-66.98652227375422	\N	789667232.73094	-999999999999999758.850088265
-1992-01-06	2010-06-10T12:28:28.020	\N	\N	true	\N	\N	\N	-7966	70028.09	\N	\N	-999998056.04185	\N
+\N	2005-05-13T15:13:16.418	\N	ysoW5wqFAFri	\N	\N	-7	1	-9351934	-451883.7	\N	-3982.29	14533783.04822	-997466062686998917.734291979
+\N	2005-06-16T14:34:54.817	njmbivb	\N	true	41	\N	\N	-1966215586	\N	\N	\N	\N	-712077536464721044.286680021
+\N	2015-02-03T23:41:27.652	\N	dGdjfud4s	false	2	\N	-4961107	68485728	-1.278023E7	\N	\N	-999909210.29165	\N
+\N	2019-10-18T01:37:55.423		5HsKkeBW6H3d	\N	-3	302	\N	\N	\N	-66.98652227375422	\N	789667232.73094	-999999999999999758.850088265
+1992-01-06	2010-06-10T04:28:28.020	\N	\N	true	\N	\N	\N	-7966	70028.09	\N	\N	-999998056.04185	\N
 1992-06-29	\N	u7i	9vO76	\N	\N	20	-11221855	\N	-2.909401	\N	-5862.49	-999999999.00409	\N
 2005-10-06	\N	3o6hR	\N	false	-24	-16	\N	\N	380006.3	\N	\N	925890570.30189	\N
-2008-05-20	2011-08-26T14:18:47.434	8k22z	uavd6EwXTAcR0bSANw3	\N	\N	\N	\N	-138646833896913	-5210.832	\N	0.60	10992151.97185	\N
+2008-05-20	2011-08-26T06:18:47.434	8k22z	uavd6EwXTAcR0bSANw3	\N	\N	\N	\N	-138646833896913	-5210.832	\N	0.60	10992151.97185	\N
 2016-11-11	\N	IbOPGImUgG4Y5sy	\N	\N	2	-354	\N	\N	-655341.2	\N	-7489.70	-999999999.88004	711135859187441144.808999832
 
 -- !test_15 --
@@ -169,16 +169,16 @@ value	0	value	value	0	value	value	value	value	value	value	value	value	value	valu
 6	
 
 -- !test_18 --
-2002-09-08	2003-01-28T13:11:07.683	8X	qp3jpOhuc3eeZn03znr	false	4	-900	64505843	8210173644705794	3.94371584E8	103534.6075051678	-900.39	-186247140.75010	114045.570460308
-2003-05-08	2008-01-06T10:29:02.211		SItDIC3uwANKX	true	-55	8696	489616	1019447917106	12.38736	-1293790206.959883	79.85	-542890844.45144	-145238424377195751.171188385
-2005-04-08	2021-02-01T14:11:49.630	3v	Gx8QKePDvCwF7aGy	true	-14	-61	10760	-331135	49217.85	-234153.6911193004	4.89	-494030422.71905	-312769651681244534.280137860
-2016-09-09	2006-03-11T00:35:44.612	DWaJDqg0	V	false	3	32767	2	5615011	-1.387982E7	-2.750639816473331e+17	9082.52	-569497743.72838	4.49E-7
-2017-09-06	2004-03-06T08:56:42.061	K	F	true	-3	-883	-28	414773929736	-751990.1	12.12531144274905	-4100.43	711833124.68878	94632666424.390004677
-2018-09-24	2018-10-17T02:12:51.210	tQP16Gpgj	dCQW9h1a	true	1	753	-2062674302	-29320118537	-8.0908749E8	2310.039844142755	19.59	-999980581.24367	123524421718.093704007
-2019-08-02	2016-12-14T08:41:05.186	wTZ848PxJqEnaBMD	kkDfs	true	0	286	-1550	-6562177520288	0.9325238	14965275933.70474	0.02	-312990864.87022	511700796202755649.975651452
-2020-04-21	2020-02-17T21:43:21.471	Q	eONgENF3D	false	2	600	20290	-3	16499.78	-17287107871.53508	7761.82	-862509993.55026	36332045.071458104
-2020-06-03	2018-02-15T22:14:24.682	A6d8	uKDub4rKu8GIrdIC	false	-108	-29	-1037025	3328152340705000	7.3087091E8	-54596924.56914027	5259.55	0.00479	143368958436554803.272255766
-2021-07-13	2020-02-29T15:28:52.649	asPkr665RxfA9h	szPIvfcywrcGU	true	127	15	2963	632	-2.110992E8	14466304061.33279	-8252.28	-371633465.36918	0.000407358
+2002-09-08	2003-01-28T05:11:07.683	8X	qp3jpOhuc3eeZn03znr	false	4	-900	64505843	8210173644705794	3.94371584E8	103534.6075051678	-900.39	-186247140.75010	114045.570460308
+2003-05-08	2008-01-06T02:29:02.211		SItDIC3uwANKX	true	-55	8696	489616	1019447917106	12.38736	-1293790206.959883	79.85	-542890844.45144	-145238424377195751.171188385
+2005-04-08	2021-02-01T06:11:49.630	3v	Gx8QKePDvCwF7aGy	true	-14	-61	10760	-331135	49217.85	-234153.6911193004	4.89	-494030422.71905	-312769651681244534.280137860
+2016-09-09	2006-03-10T16:35:44.612	DWaJDqg0	V	false	3	32767	2	5615011	-1.387982E7	-2.750639816473331e+17	9082.52	-569497743.72838	4.49E-7
+2017-09-06	2004-03-06T00:56:42.061	K	F	true	-3	-883	-28	414773929736	-751990.1	12.12531144274905	-4100.43	711833124.68878	94632666424.390004677
+2018-09-24	2018-10-16T18:12:51.210	tQP16Gpgj	dCQW9h1a	true	1	753	-2062674302	-29320118537	-8.0908749E8	2310.039844142755	19.59	-999980581.24367	123524421718.093704007
+2019-08-02	2016-12-14T00:41:05.186	wTZ848PxJqEnaBMD	kkDfs	true	0	286	-1550	-6562177520288	0.9325238	14965275933.70474	0.02	-312990864.87022	511700796202755649.975651452
+2020-04-21	2020-02-17T13:43:21.471	Q	eONgENF3D	false	2	600	20290	-3	16499.78	-17287107871.53508	7761.82	-862509993.55026	36332045.071458104
+2020-06-03	2018-02-15T14:14:24.682	A6d8	uKDub4rKu8GIrdIC	false	-108	-29	-1037025	3328152340705000	7.3087091E8	-54596924.56914027	5259.55	0.00479	143368958436554803.272255766
+2021-07-13	2020-02-29T07:28:52.649	asPkr665RxfA9h	szPIvfcywrcGU	true	127	15	2963	632	-2.110992E8	14466304061.33279	-8252.28	-371633465.36918	0.000407358
 
 -- !test_19 --
 1	Customer#000000001	IVhzIApeRb ot,c,E	15	25-989-741-2988	711.56	BUILDING	to the even, regular platelets. regular, ironic epitaphs nag e
@@ -195,14 +195,14 @@ value	0	value	value	0	value	value	value	value	value	value	value	value	value	valu
 -- !test_20 --
 \N	\N	\N	\N	\N	\N	\N	291	\N	39147.38	\N	\N	-816181887.32042	61270.940141523
 \N	\N	WcxU7O4Hm2xrbrmKQ6n	\N	\N	\N	\N	-2	245703305612	\N	-2.04051912684475e+17	140.27	\N	469154562686611464.327886993
-\N	2002-12-02T00:36:11.314	\N	FMI	\N	\N	13	9168	12891941282	990.1851	-54.07166021867196	-9974.61	735195658.19245	\N
-\N	2011-08-30T06:35:52.701	\N	\N	\N	0	\N	\N	-443556077	\N	\N	\N	-350110268.13106	\N
-\N	2016-02-14T05:57:43.183	\N	\N	\N	\N	-147	\N	\N	\N	105719.4255176597	\N	300569778.99094	\N
-\N	2019-10-08T15:55:55.986	9Ooqi	\N	\N	\N	\N	\N	-3004445243511957620	83.40178	\N	\N	-870347656.09195	323665571958231388.269910350
-1993-03-25	2012-08-03T11:23:01.478	\N	\N	true	86	-27004	6104	224268356114751076	-3560930.0	0.3358768327568655	1953.28	-761257627.82180	971048314430408841.695829480
+\N	2002-12-01T16:36:11.314	\N	FMI	\N	\N	13	9168	12891941282	990.1851	-54.07166021867196	-9974.61	735195658.19245	\N
+\N	2011-08-29T22:35:52.701	\N	\N	\N	0	\N	\N	-443556077	\N	\N	\N	-350110268.13106	\N
+\N	2016-02-13T21:57:43.183	\N	\N	\N	\N	-147	\N	\N	\N	105719.4255176597	\N	300569778.99094	\N
+\N	2019-10-08T07:55:55.986	9Ooqi	\N	\N	\N	\N	\N	-3004445243511957620	83.40178	\N	\N	-870347656.09195	323665571958231388.269910350
+1993-03-25	2012-08-03T03:23:01.478	\N	\N	true	86	-27004	6104	224268356114751076	-3560930.0	0.3358768327568655	1953.28	-761257627.82180	971048314430408841.695829480
 1997-08-31	\N	EvqlJD2guEwZAIr	MoKkyVc4uQpvf	\N	\N	-97	353044	\N	-782142.8	\N	\N	\N	\N
-2002-08-12	2005-09-07T04:48:42.429	rafciKRbnAZdvp	\N	true	\N	\N	\N	\N	\N	\N	3952.04	383675819.57043	\N
-2003-08-04	2002-06-04T13:57:07.609	\N	xPwEiNepXBk5gNJBpBR	\N	-1	-629	120514580	650311539060	\N	\N	4924.61	\N	\N
+2002-08-12	2005-09-06T20:48:42.429	rafciKRbnAZdvp	\N	true	\N	\N	\N	\N	\N	\N	3952.04	383675819.57043	\N
+2003-08-04	2002-06-04T05:57:07.609	\N	xPwEiNepXBk5gNJBpBR	\N	-1	-629	120514580	650311539060	\N	\N	4924.61	\N	\N
 
 -- !test_21 --
 1	{"a":1}	{"a":"a", "b":1}
@@ -263,31 +263,31 @@ value	0	value	value	0	value	value	value	value	value	value	value	value	value	valu
 [["1"], ["2"], ["3"]]
 
 -- !test_28 --
-1993-06-01	2018-04-10T17:13:52.824	MHOTXTBClN	8UK	false	109	-694	195	-13726981971	-1702638.0	-1607.505167959101	2455.64	27.78291	-999999999893414493.163433192
-1993-11-27	2005-04-26T04:21:29.567	mVP1sPLw89dqSh	duVqO93GAW0TMab	true	4	2	-710439346	438693955904002	-52187.16	-3815209.846927328	4360.87	542541791.18857	-318806180479147509.931466623
-1994-09-08	2009-08-07T11:16:19.122	4hJ0sOZMUM8rJLj	BS	true	-17	-16568	1	553260146989808	-1297636.0	3.855932905989339e+16	-6716.04	273137853.92911	-569638083965584851.911245365
-2001-05-09	2021-10-23T07:10:42.501	k9azcT	cJQnLLhLi1L	false	107	-259	2725	1	70.45084	6.648256255495498e+16	2033.37	925329758.57587	0.001725467
-2005-04-22	2003-10-01T03:29:20.952	FNKT	RuEup	false	46	-10	4025	13801261311498	-1.68063296E8	-47.60461662053456	-3441.21	33326814.68001	827943523557240735.204869090
-2006-02-08	2016-07-12T05:00:20.134	O2V01ZFAUc5N1SrBZy	U3zFVx2J1p4lRV7MD	true	-5	-17359	45903040	2058536974681213	177.0258	-688336389133906.5	1220.68	-999998385.95779	68817903234581.252697042
-2006-02-27	2020-04-09T12:50:56.697	obhNELQRgH6g9lfimq	CJvlpx2Tv2em	true	-46	13	193	357682430329	3329588.0	26.06508496540823	-5413.09	-130481893.47558	469231731687303886.025289187
-2006-10-23	2003-10-30T13:01:54.580	E8U7Bv6O		true	-100	4402	5275	-4434303290	-1.01665798E9	-6197594101754.311	-3673.02	0.03154	123870631987912211.391062272
-2011-11-15	2014-09-15T12:24:19.721	Teso2e	gXkyK528n	false	-128	40	-2	781	-0.05770421	-4.466107229397915e+16	330.35	-896716537.57214	519829000681966303.281283646
-2018-08-19	2004-08-09T04:07:44.845	rZvadRhXBNdlrwD	ZALemg	false	29	-1	-965071489	-1765826	-5.31722E7	42486674436.94251	449.69	-989134835.82182	-999999999999999999.990363473
+1993-06-01	2018-04-10T09:13:52.824	MHOTXTBClN	8UK	false	109	-694	195	-13726981971	-1702638.0	-1607.505167959101	2455.64	27.78291	-999999999893414493.163433192
+1993-11-27	2005-04-25T20:21:29.567	mVP1sPLw89dqSh	duVqO93GAW0TMab	true	4	2	-710439346	438693955904002	-52187.16	-3815209.846927328	4360.87	542541791.18857	-318806180479147509.931466623
+1994-09-08	2009-08-07T03:16:19.122	4hJ0sOZMUM8rJLj	BS	true	-17	-16568	1	553260146989808	-1297636.0	3.855932905989339e+16	-6716.04	273137853.92911	-569638083965584851.911245365
+2001-05-09	2021-10-22T23:10:42.501	k9azcT	cJQnLLhLi1L	false	107	-259	2725	1	70.45084	6.648256255495498e+16	2033.37	925329758.57587	0.001725467
+2005-04-22	2003-09-30T19:29:20.952	FNKT	RuEup	false	46	-10	4025	13801261311498	-1.68063296E8	-47.60461662053456	-3441.21	33326814.68001	827943523557240735.204869090
+2006-02-08	2016-07-11T21:00:20.134	O2V01ZFAUc5N1SrBZy	U3zFVx2J1p4lRV7MD	true	-5	-17359	45903040	2058536974681213	177.0258	-688336389133906.5	1220.68	-999998385.95779	68817903234581.252697042
+2006-02-27	2020-04-09T04:50:56.697	obhNELQRgH6g9lfimq	CJvlpx2Tv2em	true	-46	13	193	357682430329	3329588.0	26.06508496540823	-5413.09	-130481893.47558	469231731687303886.025289187
+2006-10-23	2003-10-30T05:01:54.580	E8U7Bv6O		true	-100	4402	5275	-4434303290	-1.01665798E9	-6197594101754.311	-3673.02	0.03154	123870631987912211.391062272
+2011-11-15	2014-09-15T04:24:19.721	Teso2e	gXkyK528n	false	-128	40	-2	781	-0.05770421	-4.466107229397915e+16	330.35	-896716537.57214	519829000681966303.281283646
+2018-08-19	2004-08-08T20:07:44.845	rZvadRhXBNdlrwD	ZALemg	false	29	-1	-965071489	-1765826	-5.31722E7	42486674436.94251	449.69	-989134835.82182	-999999999999999999.990363473
 
 -- !test_29 --
-1990-09-14	2010-05-24T00:29:22.086	RZd8Fol2	kTYLrR6YpBV4YrGe6GJ	true	47	\N	-1059875306	5110434996844838	\N	-1211.746555695639	8608.24	-469562994.41053	\N
+1990-09-14	2010-05-23T16:29:22.086	RZd8Fol2	kTYLrR6YpBV4YrGe6GJ	true	47	\N	-1059875306	5110434996844838	\N	-1211.746555695639	8608.24	-469562994.41053	\N
 
 -- !test_30 --
 \N	\N	\N	GGQ3GKDEKFx4pCO	false	-6	\N	1758480	\N	\N	\N	-9999.92	261658953.76656	\N
 \N	\N	\N	b0ELn	\N	-88	\N	\N	114626475407551	\N	641.9788873396103	\N	\N	\N
 \N	\N	\N	uy	true	\N	\N	-1912073838	-32124366597410108	\N	-16001891925897.45	-9998.98	157588649.93899	5481236331293411.919263188
 \N	\N	wi	\N	\N	\N	\N	\N	\N	1.106744E8	\N	\N	740120594.78737	0.488577228
-\N	2020-06-25T19:16:55.522	\N	\N	\N	51	\N	1525569	514725	-0.7716029	-15.16433905752949	\N	18436691.83034	\N
-2011-05-01	2015-05-05T10:31:42.359	OnEJp9TRBl4g	ruTLeXH6Xh8YLi	\N	\N	\N	-520	-1414566394050596	\N	268240689620402.2	\N	\N	\N
-2015-10-06	2016-03-21T17:00:33.021		tsjvqYAu	\N	\N	21	-588744001	-610456926992694	\N	\N	347.71	516467205.01627	329683922415812795.124208836
+\N	2020-06-25T11:16:55.522	\N	\N	\N	51	\N	1525569	514725	-0.7716029	-15.16433905752949	\N	18436691.83034	\N
+2011-05-01	2015-05-05T02:31:42.359	OnEJp9TRBl4g	ruTLeXH6Xh8YLi	\N	\N	\N	-520	-1414566394050596	\N	268240689620402.2	\N	\N	\N
+2015-10-06	2016-03-21T09:00:33.021		tsjvqYAu	\N	\N	21	-588744001	-610456926992694	\N	\N	347.71	516467205.01627	329683922415812795.124208836
 2016-05-09	\N		\N	false	-1	2	\N	\N	\N	-410157781684380.6	-8499.34	\N	-442949280946678321.087072493
 2020-04-09	\N	jmnUDJIq	NK5dKGb	\N	-2	24529	-462099	53667311088374226	\N	2330.39386823334	\N	338811455.89151	\N
-2020-12-16	2010-10-30T17:35:13.116	csVYmrP9cLKzq	\N	false	14	-455	\N	\N	1.21245E7	\N	\N	-691583845.86904	\N
+2020-12-16	2010-10-30T09:35:13.116	csVYmrP9cLKzq	\N	false	14	-455	\N	\N	1.21245E7	\N	\N	-691583845.86904	\N
 
 -- !test_31 --
 ["1"]
@@ -314,23 +314,23 @@ SINGLE_ITEM
 {"limitTag":false}
 
 -- !test_33 --
-1990-02-21	2012-11-01T07:08:20.929	ImrmK10nqXofuJ	YQtKCNpBL42UJfykj9	true	-124	-12616	-2147483648	-67731985705176135	-6.5918528E7	-2.748174175029641e+18	179.99	0.01610	-897288714445017375.459313317
-1997-02-05	2001-09-25T10:14:11.771	78xHKpQTg	g	true	-128	32767	-616201217	31014898	-8578.377	-1.677798880876122	-9999.75	582725944.11517	0.093275561
-1997-07-04	2020-02-18T11:05:40.350	dZ75dwyBHu	Q	false	2	5	2855	52962	3569.957	73.39598490486459	-9988.67	534632185.88460	739668509720211560.038685772
-2000-12-10	2006-04-29T13:36:10.932	30PUkPEjg	yDpEu	true	127	-46	22	-14591	9.4648928E7	53116.45202971164	2218.71	-999999999.99972	-999999999697088351.830142154
-2003-12-26	2012-07-17T07:27:13.003	6iAuQndnuV	0	true	-13	-1	9394	8533950590	-1.455696E7	1872.817972229336	-1995.49	-999999999.99996	-468409029198915838.191775790
-2004-11-09	2018-09-10T15:25:09.832	bKvCqcmjigGZF6m	3z9DpIQtvbcbZ	false	4	29126	-7851198	6647298083	-467437.3	-126.7522229749863	1402.15	0.00726	3191411356.484232654
-2005-07-10	2005-01-15T07:22:56.154	QewxF41E3jEF	eN1TV19Rntx9qXxo	false	-101	736	-3	836825	-418692.5	-196125.3995570403	-6328.06	0.00068	-999999999999972866.982146783
-2013-07-26	2014-05-22T07:26:21.340	G5nyDkEZ3yrqX4D		false	-128	32767	-93	19577135702247335	-207222.9	169161723648672.8	-2821.07	-658186555.33968	319263362007.627792379
-2018-03-05	2010-05-14T18:28:32.238	8	E	false	4	-1086	-101	-502	-40.63856	-168139090585.4518	9117.01	-330067900.83006	71856700793137.221604271
-2021-10-30	2006-05-08T11:19:17.414	cB5lU	ACXBhPBLyYaSeEhhGOK	false	-3	941	25	-5	-1.77348608E8	-1.06923644492037e+17	-6757.02	-886964956.30550	-999999910882130931.136697944
+1990-02-21	2012-10-31T23:08:20.929	ImrmK10nqXofuJ	YQtKCNpBL42UJfykj9	true	-124	-12616	-2147483648	-67731985705176135	-6.5918528E7	-2.748174175029641e+18	179.99	0.01610	-897288714445017375.459313317
+1997-02-05	2001-09-25T02:14:11.771	78xHKpQTg	g	true	-128	32767	-616201217	31014898	-8578.377	-1.677798880876122	-9999.75	582725944.11517	0.093275561
+1997-07-04	2020-02-18T03:05:40.350	dZ75dwyBHu	Q	false	2	5	2855	52962	3569.957	73.39598490486459	-9988.67	534632185.88460	739668509720211560.038685772
+2000-12-10	2006-04-29T05:36:10.932	30PUkPEjg	yDpEu	true	127	-46	22	-14591	9.4648928E7	53116.45202971164	2218.71	-999999999.99972	-999999999697088351.830142154
+2003-12-26	2012-07-16T23:27:13.003	6iAuQndnuV	0	true	-13	-1	9394	8533950590	-1.455696E7	1872.817972229336	-1995.49	-999999999.99996	-468409029198915838.191775790
+2004-11-09	2018-09-10T07:25:09.832	bKvCqcmjigGZF6m	3z9DpIQtvbcbZ	false	4	29126	-7851198	6647298083	-467437.3	-126.7522229749863	1402.15	0.00726	3191411356.484232654
+2005-07-10	2005-01-14T23:22:56.154	QewxF41E3jEF	eN1TV19Rntx9qXxo	false	-101	736	-3	836825	-418692.5	-196125.3995570403	-6328.06	0.00068	-999999999999972866.982146783
+2013-07-26	2014-05-21T23:26:21.340	G5nyDkEZ3yrqX4D		false	-128	32767	-93	19577135702247335	-207222.9	169161723648672.8	-2821.07	-658186555.33968	319263362007.627792379
+2018-03-05	2010-05-14T10:28:32.238	8	E	false	4	-1086	-101	-502	-40.63856	-168139090585.4518	9117.01	-330067900.83006	71856700793137.221604271
+2021-10-30	2006-05-08T03:19:17.414	cB5lU	ACXBhPBLyYaSeEhhGOK	false	-3	941	25	-5	-1.77348608E8	-1.06923644492037e+17	-6757.02	-886964956.30550	-999999910882130931.136697944
 
 -- !test_34 --
 \N
-2023-04-29T00:40:22.618760
-2023-04-29T00:40:22.618760
-2023-04-29T00:40:22.618760
-2023-04-29T00:40:22.618760
+2023-04-28T16:40:22.618760
+2023-04-28T16:40:22.618760
+2023-04-28T16:40:22.618760
+2023-04-28T16:40:22.618760
 
 -- !test_35 --
 0	{"b1":0, "b2":0}	{0:0}
@@ -399,42 +399,42 @@ parquet_data_file.parquet	2
 9	99992	9	[9, null, 992]
 
 -- !test_42 --
-1990-10-15	2012-05-29T03:10:37.964	qwWJdCpg	OAX5WUvk	true	-128	8	70201	415992747803601	277691.1	698305821.9301682	5236.50	-915747844.59052	-151809513929934942.371226079
-1995-10-24	2004-01-30T21:00:30.486	tEJO5k75lgvTD		true	24	2729	890274705	-13248059	-6.7806032E7	-23473176209.90597	5749.02	417.66104	-377237991904019590.464639292
-1996-03-14	2017-06-22T13:25:19.097	IbFcGpq4Dt	hNVle1Icvtb	false	1	32767	1433164198	734505698338	-4.526574	-78334509811.75497	3521.68	649748177.57451	0.000010449
-2000-03-14	2020-10-05T19:55:20.362	xqIlQ	Zwam	true	-51	-5	-1006	-9223372036854775808	8.0106872E7	-197245175397986	2687.46	0.60408	-905703471809530507.253916180
-2007-06-11	2010-11-01T00:57:02.744	yrAziDOB	iH2adlVi7g5cx4Cyh	true	-1	-2337	858955	14873402064357665	-4239774.0	-294873846030.8438	-4115.82	302548072.65452	2192082088530.236826232
-2011-10-14	2019-05-22T01:20:17.910	3xT	J1yXHBr	true	127	-189	74072	-2126	1.45417696E8	9621.719542471843	2662.49	356503871.73248	675081427984.952655367
-2012-03-22	2021-12-22T14:24:40.395	BqheA3qJO1bM91yX	sqOxIZxewcIOIiP	false	-27	-12868	21290790	64434563	-1.46099904E8	-134089569.0511059	6632.68	-999999999.99946	13208046.785158373
-2014-06-13	2017-06-28T04:08:04.993	QfTk	XycLETfYi9T9	false	61	280	-31133708	-206	-5.759916	-6.914461224115192e+18	-5262.14	721969037.46596	14986373522438733.195695080
-2015-12-25	2015-07-12T12:14:21.599	84		false	-2	2743	46577299	-127300633	-12.78254	44811233853.52415	8451.82	454242344.81844	-999999999999997310.190565741
-2019-07-04	2008-03-12T09:21:53.699	Vi2jfRquzess3Wp	QzvCGCUwBZ	false	-128	-5	7704448	-76164530828	29.64875	5460285013113021	-9188.58	-999992594.11003	-999997183115766047.908014305
+1990-10-15	2012-05-28T19:10:37.964	qwWJdCpg	OAX5WUvk	true	-128	8	70201	415992747803601	277691.1	698305821.9301682	5236.50	-915747844.59052	-151809513929934942.371226079
+1995-10-24	2004-01-30T13:00:30.486	tEJO5k75lgvTD		true	24	2729	890274705	-13248059	-6.7806032E7	-23473176209.90597	5749.02	417.66104	-377237991904019590.464639292
+1996-03-14	2017-06-22T05:25:19.097	IbFcGpq4Dt	hNVle1Icvtb	false	1	32767	1433164198	734505698338	-4.526574	-78334509811.75497	3521.68	649748177.57451	0.000010449
+2000-03-14	2020-10-05T11:55:20.362	xqIlQ	Zwam	true	-51	-5	-1006	-9223372036854775808	8.0106872E7	-197245175397986	2687.46	0.60408	-905703471809530507.253916180
+2007-06-11	2010-10-31T16:57:02.744	yrAziDOB	iH2adlVi7g5cx4Cyh	true	-1	-2337	858955	14873402064357665	-4239774.0	-294873846030.8438	-4115.82	302548072.65452	2192082088530.236826232
+2011-10-14	2019-05-21T17:20:17.910	3xT	J1yXHBr	true	127	-189	74072	-2126	1.45417696E8	9621.719542471843	2662.49	356503871.73248	675081427984.952655367
+2012-03-22	2021-12-22T06:24:40.395	BqheA3qJO1bM91yX	sqOxIZxewcIOIiP	false	-27	-12868	21290790	64434563	-1.46099904E8	-134089569.0511059	6632.68	-999999999.99946	13208046.785158373
+2014-06-13	2017-06-27T20:08:04.993	QfTk	XycLETfYi9T9	false	61	280	-31133708	-206	-5.759916	-6.914461224115192e+18	-5262.14	721969037.46596	14986373522438733.195695080
+2015-12-25	2015-07-12T04:14:21.599	84		false	-2	2743	46577299	-127300633	-12.78254	44811233853.52415	8451.82	454242344.81844	-999999999999997310.190565741
+2019-07-04	2008-03-12T01:21:53.699	Vi2jfRquzess3Wp	QzvCGCUwBZ	false	-128	-5	7704448	-76164530828	29.64875	5460285013113021	-9188.58	-999992594.11003	-999997183115766047.908014305
 
 -- !test_43 --
 \N	\N	NRtUp4mIn6	\N	\N	81	61	14662764	\N	\N	24.76579004869427	-7093.75	-508742383.78760	\N
 \N	\N	RTZIjxAvxiuya2O	sxKm4	false	\N	\N	-2920	\N	-1.684244E7	89589245.12385154	-4844.93	0.00000	-999999078390954433.266521050
-\N	2006-11-27T23:08:53.637	ir78	21LsWbsSvr1w31bFIge	false	4	\N	-253	\N	-0.7320864	36343026.9159499	\N	\N	0.000419719
-\N	2013-02-20T10:17:53.692	\N	9A6xyElnTReuD7y	\N	-120	9559	4	-879625317	-2468.177	\N	7674.13	\N	822001113348911013.353861458
-\N	2019-12-27T03:18:59.650	CKAEWKO6KXdMH5	\N	false	\N	\N	-2616198	\N	-6497.424	\N	\N	\N	\N
+\N	2006-11-27T15:08:53.637	ir78	21LsWbsSvr1w31bFIge	false	4	\N	-253	\N	-0.7320864	36343026.9159499	\N	\N	0.000419719
+\N	2013-02-20T02:17:53.692	\N	9A6xyElnTReuD7y	\N	-120	9559	4	-879625317	-2468.177	\N	7674.13	\N	822001113348911013.353861458
+\N	2019-12-26T19:18:59.650	CKAEWKO6KXdMH5	\N	false	\N	\N	-2616198	\N	-6497.424	\N	\N	\N	\N
 1995-04-19	\N	\N	\N	\N	\N	\N	\N	-3758662708917	\N	15079428976.45838	-4499.76	\N	\N
 2011-08-29	\N	X5sOCL	\N	\N	\N	32767	-159726	7549920896729	\N	-1722.752843791083	8563.72	\N	396140954904591.906214897
-2012-01-16	2015-04-10T02:22:47.570	\N	\N	true	117	\N	1	13105467619782	-3050.602	-1913.374330370559	-8505.21	\N	\N
+2012-01-16	2015-04-09T18:22:47.570	\N	\N	true	117	\N	1	13105467619782	-3050.602	-1913.374330370559	-8505.21	\N	\N
 2014-06-19	\N	e	6	false	-23	3	-22865	1121243794	1.36607002E9	\N	\N	573087963.56260	-999999999999999999.999999989
-2019-07-13	2014-12-26T17:36:32.015	pZ	B	true	-1	-1652	3	-717976107	4.683132E7	187044292546452.3	-3250.34	-683065719.90078	-999999999999999996.167109911
+2019-07-13	2014-12-26T09:36:32.015	pZ	B	true	-1	-1652	3	-717976107	4.683132E7	187044292546452.3	-3250.34	-683065719.90078	-999999999999999996.167109911
 
 -- !test_44 --
 
 -- !test_45 --
-1991-06-01	2005-10-05T12:55:52.803	1l2Gn65kabMBXXwRjYc	u7E5o	false	2	-2	213	428562943575	435.2552	43.32856728620497	-4710.14	-999999999.99991	-436880549193609652.958539482
-2000-03-13	2006-06-09T06:52:35.413		TDcm	true	1	-7472	-15341663	-129538814800626	-2.97772288E8	5.384143949269808e+17	4263.84	-999321187.22295	-6391367146305982.860036925
-2003-10-17	2016-06-27T01:24:45.343	XgdsmoxEAFn8jXdlS5K	YiJ3rhVe	true	2	0	1527	7700997125042	1.212632	1.022898355780803e+17	9060.14	727039787.02689	813586819130092898.615426235
-2004-05-07	2007-01-14T14:12:41.238	0t	H2zTnyhHP9St	false	0	32	206960	16621	-338.0919	1912.507370190854	0.01	32714754.84074	211319775403678702.066657740
-2009-09-25	2004-02-20T20:35:27.365	5bb	WwSwysDYuED5VJm	false	-128	-4	51533	-4169945864799	90324.57	218744241804287.4	5900.23	655701181.79243	299238077925743041.896872344
-2010-04-13	2007-03-08T21:50:47.393	xgRYLcU		false	40	-5	1	-16	1055.089	1415626.338734332	-5923.80	-241431028.99397	1.4E-8
-2010-10-10	2003-05-09T09:36:06.082	rAXG8uKttPK1	MmHlORGYt6	true	3	-1591	367	-6608084	1.70200205E9	1.710698211616725e+18	-5723.81	-673610194.00662	-999999999999999991.707182758
-2012-03-19	2015-10-01T23:13:42.342	jtiyfW84Ki9	8nXLc	true	-7	-4930	144	127	-109.4621	-50762.95206166508	0.36	111694542.21589	-999999999999798265.982290349
-2015-11-11	2021-10-12T05:25:50.721	mNAJVvwLtANmKv	B7bZ5IXwij	true	11	-56	92	-25882090133467	74298.34	0.434995867398801	6294.06	414483781.16850	-999999999999999999.999613855
-2019-04-06	2011-05-01T04:33:13.797	RhNmU1fI	hLW9BaI7zAeH3	false	127	-2053	790	-241190	-10.89894	253.2984662146607	2770.64	3.27874	-549617965788434935.429869459
+1991-06-01	2005-10-05T04:55:52.803	1l2Gn65kabMBXXwRjYc	u7E5o	false	2	-2	213	428562943575	435.2552	43.32856728620497	-4710.14	-999999999.99991	-436880549193609652.958539482
+2000-03-13	2006-06-08T22:52:35.413		TDcm	true	1	-7472	-15341663	-129538814800626	-2.97772288E8	5.384143949269808e+17	4263.84	-999321187.22295	-6391367146305982.860036925
+2003-10-17	2016-06-26T17:24:45.343	XgdsmoxEAFn8jXdlS5K	YiJ3rhVe	true	2	0	1527	7700997125042	1.212632	1.022898355780803e+17	9060.14	727039787.02689	813586819130092898.615426235
+2004-05-07	2007-01-14T06:12:41.238	0t	H2zTnyhHP9St	false	0	32	206960	16621	-338.0919	1912.507370190854	0.01	32714754.84074	211319775403678702.066657740
+2009-09-25	2004-02-20T12:35:27.365	5bb	WwSwysDYuED5VJm	false	-128	-4	51533	-4169945864799	90324.57	218744241804287.4	5900.23	655701181.79243	299238077925743041.896872344
+2010-04-13	2007-03-08T13:50:47.393	xgRYLcU		false	40	-5	1	-16	1055.089	1415626.338734332	-5923.80	-241431028.99397	1.4E-8
+2010-10-10	2003-05-09T01:36:06.082	rAXG8uKttPK1	MmHlORGYt6	true	3	-1591	367	-6608084	1.70200205E9	1.710698211616725e+18	-5723.81	-673610194.00662	-999999999999999991.707182758
+2012-03-19	2015-10-01T15:13:42.342	jtiyfW84Ki9	8nXLc	true	-7	-4930	144	127	-109.4621	-50762.95206166508	0.36	111694542.21589	-999999999999798265.982290349
+2015-11-11	2021-10-11T21:25:50.721	mNAJVvwLtANmKv	B7bZ5IXwij	true	11	-56	92	-25882090133467	74298.34	0.434995867398801	6294.06	414483781.16850	-999999999999999999.999613855
+2019-04-06	2011-04-30T20:33:13.797	RhNmU1fI	hLW9BaI7zAeH3	false	127	-2053	790	-241190	-10.89894	253.2984662146607	2770.64	3.27874	-549617965788434935.429869459
 
 -- !test_46 --
 1	{"age":10, "detail":{"height":150, "sex":1}}	{1:{"height":100}}	[{"height":140}]
@@ -483,16 +483,16 @@ parquet_data_file.parquet	2
 20230313151812747	20230313151812747_0_4	uuid:AA1		0e99d67b-6a4c-4aac-b3b0-b74735368a0f-0_0-140-3305_20230313151812747.parquet	AA1	10	0	hello	\N	\N	{"a":null, "b":{"key1":10}, "c":{"a":[10, 20], "b":{"a":10, "b":"world"}}}
 
 -- !test_52 --
-0	vin0	log_domain0	file_name0	is_collection0	is_center0	is_cloud0	2022-09-29T23:31:40.352203	2022-09-29T23:31:40.352203	2022-09-29T23:31:40.352203	error_collection_tips0	error_center_tips0	error_cloud_tips0	error_collection_time0	error_center_time0	error_cloud_time0	original_time0	0
-1	vin1	log_domain1	file_name1	is_collection1	is_center1	is_cloud1	2022-09-29T23:31:40.352203	2022-09-29T23:31:40.352203	2022-09-29T23:31:40.352203	error_collection_tips1	error_center_tips1	error_cloud_tips1	error_collection_time1	error_center_time1	error_cloud_time1	original_time1	0
-2	vin2	log_domain2	file_name2	is_collection2	is_center2	is_cloud2	2022-09-29T23:31:40.352203	2022-09-29T23:31:40.352203	2022-09-29T23:31:40.352203	error_collection_tips2	error_center_tips2	error_cloud_tips2	error_collection_time2	error_center_time2	error_cloud_time2	original_time2	0
-3	vin3	log_domain3	file_name3	is_collection3	is_center3	is_cloud3	2022-09-29T23:31:40.352203	2022-09-29T23:31:40.352203	2022-09-29T23:31:40.352203	error_collection_tips3	error_center_tips3	error_cloud_tips3	error_collection_time3	error_center_time3	error_cloud_time3	original_time3	0
-4	vin4	log_domain4	file_name4	is_collection4	is_center4	is_cloud4	2022-09-29T23:31:40.352203	2022-09-29T23:31:40.352203	2022-09-29T23:31:40.352203	error_collection_tips4	error_center_tips4	error_cloud_tips4	error_collection_time4	error_center_time4	error_cloud_time4	original_time4	0
-5	vin5	log_domain5	file_name5	is_collection5	is_center5	is_cloud5	2022-09-29T23:31:40.352203	2022-09-29T23:31:40.352203	2022-09-29T23:31:40.352203	error_collection_tips5	error_center_tips5	error_cloud_tips5	error_collection_time5	error_center_time5	error_cloud_time5	original_time5	0
-6	vin6	log_domain6	file_name6	is_collection6	is_center6	is_cloud6	2022-09-29T23:31:40.352203	2022-09-29T23:31:40.352203	2022-09-29T23:31:40.352203	error_collection_tips6	error_center_tips6	error_cloud_tips6	error_collection_time6	error_center_time6	error_cloud_time6	original_time6	0
-7	vin7	log_domain7	file_name7	is_collection7	is_center7	is_cloud7	2022-09-29T23:31:40.352203	2022-09-29T23:31:40.352203	2022-09-29T23:31:40.352203	error_collection_tips7	error_center_tips7	error_cloud_tips7	error_collection_time7	error_center_time7	error_cloud_time7	original_time7	0
-8	vin8	log_domain8	file_name8	is_collection8	is_center8	is_cloud8	2022-09-29T23:31:40.352203	2022-09-29T23:31:40.352203	2022-09-29T23:31:40.352203	error_collection_tips8	error_center_tips8	error_cloud_tips8	error_collection_time8	error_center_time8	error_cloud_time8	original_time8	0
-9	vin9	log_domain9	file_name9	is_collection9	is_center9	is_cloud9	2022-09-29T23:31:40.352203	2022-09-29T23:31:40.352203	2022-09-29T23:31:40.352203	error_collection_tips9	error_center_tips9	error_cloud_tips9	error_collection_time9	error_center_time9	error_cloud_time9	original_time9	0
+0	vin0	log_domain0	file_name0	is_collection0	is_center0	is_cloud0	2022-09-29T15:31:40.352203	2022-09-29T15:31:40.352203	2022-09-29T15:31:40.352203	error_collection_tips0	error_center_tips0	error_cloud_tips0	error_collection_time0	error_center_time0	error_cloud_time0	original_time0	0
+1	vin1	log_domain1	file_name1	is_collection1	is_center1	is_cloud1	2022-09-29T15:31:40.352203	2022-09-29T15:31:40.352203	2022-09-29T15:31:40.352203	error_collection_tips1	error_center_tips1	error_cloud_tips1	error_collection_time1	error_center_time1	error_cloud_time1	original_time1	0
+2	vin2	log_domain2	file_name2	is_collection2	is_center2	is_cloud2	2022-09-29T15:31:40.352203	2022-09-29T15:31:40.352203	2022-09-29T15:31:40.352203	error_collection_tips2	error_center_tips2	error_cloud_tips2	error_collection_time2	error_center_time2	error_cloud_time2	original_time2	0
+3	vin3	log_domain3	file_name3	is_collection3	is_center3	is_cloud3	2022-09-29T15:31:40.352203	2022-09-29T15:31:40.352203	2022-09-29T15:31:40.352203	error_collection_tips3	error_center_tips3	error_cloud_tips3	error_collection_time3	error_center_time3	error_cloud_time3	original_time3	0
+4	vin4	log_domain4	file_name4	is_collection4	is_center4	is_cloud4	2022-09-29T15:31:40.352203	2022-09-29T15:31:40.352203	2022-09-29T15:31:40.352203	error_collection_tips4	error_center_tips4	error_cloud_tips4	error_collection_time4	error_center_time4	error_cloud_time4	original_time4	0
+5	vin5	log_domain5	file_name5	is_collection5	is_center5	is_cloud5	2022-09-29T15:31:40.352203	2022-09-29T15:31:40.352203	2022-09-29T15:31:40.352203	error_collection_tips5	error_center_tips5	error_cloud_tips5	error_collection_time5	error_center_time5	error_cloud_time5	original_time5	0
+6	vin6	log_domain6	file_name6	is_collection6	is_center6	is_cloud6	2022-09-29T15:31:40.352203	2022-09-29T15:31:40.352203	2022-09-29T15:31:40.352203	error_collection_tips6	error_center_tips6	error_cloud_tips6	error_collection_time6	error_center_time6	error_cloud_time6	original_time6	0
+7	vin7	log_domain7	file_name7	is_collection7	is_center7	is_cloud7	2022-09-29T15:31:40.352203	2022-09-29T15:31:40.352203	2022-09-29T15:31:40.352203	error_collection_tips7	error_center_tips7	error_cloud_tips7	error_collection_time7	error_center_time7	error_cloud_time7	original_time7	0
+8	vin8	log_domain8	file_name8	is_collection8	is_center8	is_cloud8	2022-09-29T15:31:40.352203	2022-09-29T15:31:40.352203	2022-09-29T15:31:40.352203	error_collection_tips8	error_center_tips8	error_cloud_tips8	error_collection_time8	error_center_time8	error_cloud_time8	original_time8	0
+9	vin9	log_domain9	file_name9	is_collection9	is_center9	is_cloud9	2022-09-29T15:31:40.352203	2022-09-29T15:31:40.352203	2022-09-29T15:31:40.352203	error_collection_tips9	error_center_tips9	error_cloud_tips9	error_collection_time9	error_center_time9	error_cloud_time9	original_time9	0
 
 -- !test_53 --
 0	{"b1":0, "b2":0}	{0:0}
@@ -731,7 +731,7 @@ true
 
 -- !test_85 --
 \N	\N	\N
-2019-04-17T04:00	2019-04-17T04:00	2019-04-17T04:00
+2019-04-16T20:00	2019-04-16T20:00	2019-04-16T20:00
 
 -- !test_86 --
 3	{"c2_2":{30:{"c2_2_3":"Hangzhou"}}, "c2_3":{"c2_3_2":null}, "c2_4":{"c2_4_1":null}}	[null, {{"c3_1":300, "c3_2":null}:null}, {{"c3_1":null, "c3_2":1}:[null, {"c3_3_1":null}, null, {"c3_3_1":"2003-01-01"}]}]
@@ -792,7 +792,7 @@ true
 20221122195832392	20221122195832392_0_6	uuid:3		7b8c2810-aae6-40c0-840b-d5214a496e4a-0_0-51-46_20221122195832392.parquet	3	\N
 
 -- !test_96 --
-1999-03-02	2006-07-12T11:33:10.064	WjU8dGtokSea	KmNbdNWDTZ06Wv69	true	-52	-1767	-63310	-129	3043601.0	-7207.499333344393	-924.27	474768031.34812	13157.406434180
+1999-03-02	2006-07-12T03:33:10.064	WjU8dGtokSea	KmNbdNWDTZ06Wv69	true	-52	-1767	-63310	-129	3043601.0	-7207.499333344393	-924.27	474768031.34812	13157.406434180
 
 -- !test_97 --
 \N
@@ -826,8 +826,8 @@ abcDeFGhijkLmnOp	\N	1212
 1317018404	1	18063592	674090	270648	19931008	5-LOW	0	8	851248	8452558	7	791660	63843	2	19931215	REG AIR	Customer#018063592	,bHuHED0BKD8NLBUfTYk3	SAUDI ARA1	SAUDI ARABIA	MIDDLE EAST	30-885-812-7051	HOUSEHOLD	Supplier#000270648	Ip69p0H8L 	BRAZIL   1	BRAZIL	AMERICA	12-320-229-9718	khaki floral	MFGR#2	MFGR#23	MFGR#2312	maroon	ECONOMY POLISHED NICKEL	4	JUMBO BOX
 
 -- !test_101 --
-2006-01-02T15:04:05
-9999-12-31T23:59:59.009999
+2006-01-02T07:04:05
+9999-12-31T15:59:59.009999
 
 -- !test_102 --
 \N	\N
diff --git a/regression-test/data/external_table_p0/tvf/test_local_tvf_with_complex_type.out b/regression-test/data/external_table_p0/tvf/test_local_tvf_with_complex_type.out
index 8037fb48de571c..7ae67a5d160d39 100644
--- a/regression-test/data/external_table_p0/tvf/test_local_tvf_with_complex_type.out
+++ b/regression-test/data/external_table_p0/tvf/test_local_tvf_with_complex_type.out
@@ -28,29 +28,29 @@
 100	[["MMSb41-6NUS4hS-P2I-Stnt"]]	[{"Il0ca1-eM4PI1A-Q5D-C6Ew":"2023-08-10"}, {"aTqTxn-waY9G25-16n-I68i":"2023-08-10"}, {"fT1Pyb-4mgLPTT-4j0-NaNl":"2023-08-10"}]	[{"vin":"NjY99J-RgRtp6k-6vC-xyfn", "charge_id":6}]	{"Hnt4rk-e5QmZDz-WdV-eWR7":{"568TFe-xVyRi28-5Fn-I85j":0.6948208839746508, "8r4FMo-VUl8ydc-JgO-6X0D":0.2733065358111243, "azcHey-UCyX8eL-zR3-Wnbs":0.6961260171818049}}	{0:[0.1937748952971504, 0.8936328260822543], 2:[0.745335410464371, 0.1861208546102494]}	{"2023-08-10 22:40:46.403000":{"vin":"yFb2VK-h4pNNz7-Jft-Hwf6", "charge_id":7596, "start_time":0.1239780988349064}, "2023-08-10 22:41:11.854000":{"vin":"5MKPSq-R5KmuX9-cz0-4Pg7", "charge_id":7371, "start_time":0.373214996451953}}	{"aa":["pJxaDv-gfpSsFF-8MH-QPkL", "SqNtD0-8wUcmX6-lGr-mjvL"], "mm":{"2023-08-10":"qtx78x-pc27epo-ZMN-obsM"}}
 
 -- !sql --
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diff --git a/regression-test/data/external_table_p0/tvf/test_local_tvf_with_complex_type_element_at.out b/regression-test/data/external_table_p0/tvf/test_local_tvf_with_complex_type_element_at.out
index e0da95fe00d3a6..489d664613f8d4 100644
--- a/regression-test/data/external_table_p0/tvf/test_local_tvf_with_complex_type_element_at.out
+++ b/regression-test/data/external_table_p0/tvf/test_local_tvf_with_complex_type_element_at.out
@@ -382,4 +382,3 @@ GFxQDj-0srwp6A-nB0-G1XJ
 \N
 \N
 \N
-
diff --git a/regression-test/data/external_table_p0/tvf/test_tvf_p0.out b/regression-test/data/external_table_p0/tvf/test_tvf_p0.out
index 5ec7cc860da33b..a2069039c4875f 100644
--- a/regression-test/data/external_table_p0/tvf/test_tvf_p0.out
+++ b/regression-test/data/external_table_p0/tvf/test_tvf_p0.out
@@ -43,12 +43,12 @@
 25001	25001	25001
 
 -- !fix_byte_array --
-\N	64.1234	128.123456	\N	64.1234	128.123456	2023-01-01	2023-01-01	2023-01-01T20:00:00.123456	2023-01-01	2023-01-01	2023-01-01T20:00:00.123456
-32.123	\N	128.789012	32.123	\N	128.789012	2023-02-15	2023-02-15	2023-02-15T23:30:45.123456	2023-02-15	2023-02-15	2023-02-15T23:30:45.123456
+\N	64.1234	128.123456	\N	64.1234	128.123456	2023-01-01	2023-01-01	2023-01-01T12:00:00.123456	2023-01-01	2023-01-01	2023-01-01T12:00:00.123456
+32.123	\N	128.789012	32.123	\N	128.789012	2023-02-15	2023-02-15	2023-02-15T15:30:45.123456	2023-02-15	2023-02-15	2023-02-15T15:30:45.123456
 32.456	64.5678	128.345678	32.456	64.5678	128.345678	2023-03-30	2023-03-30	\N	2023-03-30	2023-03-30	\N
-32.789	64.9012	\N	32.789	64.9012	\N	\N	\N	2023-03-31T02:45:30.123456	\N	\N	2023-03-31T02:45:30.123456
-32.024	64.0000	128.901468	32.024	64.0000	128.901468	2023-07-07	2023-07-07	2021-07-07T19:15:31.123456	2023-07-07	2023-07-07	2021-07-07T19:15:31.123456
-32.689	64.2580	128.745382	32.689	64.2580	128.745382	2023-11-11	2023-11-11	2022-11-11T16:35:37.123456	2023-11-11	2023-11-11	2022-11-11T16:35:37.123456
+32.789	64.9012	\N	32.789	64.9012	\N	\N	\N	2023-03-30T18:45:30.123456	\N	\N	2023-03-30T18:45:30.123456
+32.024	64.0000	128.901468	32.024	64.0000	128.901468	2023-07-07	2023-07-07	2021-07-07T11:15:31.123456	2023-07-07	2023-07-07	2021-07-07T11:15:31.123456
+32.689	64.2580	128.745382	32.689	64.2580	128.745382	2023-11-11	2023-11-11	2022-11-11T08:35:37.123456	2023-11-11	2023-11-11	2022-11-11T08:35:37.123456
 
 -- !wrong_page_header --
 53587	38687	2689589	99480	2971	1999262	218	386	5265	86	33.14	56.33	40.55	0.00	3487.30	2850.04	4844.38	69.74	0.00	3487.30	3557.04	637.26
diff --git a/regression-test/suites/datatype_p0/nested_types/query/test_nested_types_insert_into_with_s3.groovy b/regression-test/suites/datatype_p0/nested_types/query/test_nested_types_insert_into_with_s3.groovy
index 3f74b34a70b865..84b4b103a10b60 100644
--- a/regression-test/suites/datatype_p0/nested_types/query/test_nested_types_insert_into_with_s3.groovy
+++ b/regression-test/suites/datatype_p0/nested_types/query/test_nested_types_insert_into_with_s3.groovy
@@ -234,6 +234,7 @@ suite("test_nested_types_insert_into_with_s3", "p0") {
                 "s3.access_key"= "${ak}",
                 "s3.secret_key" = "${sk}",
                 "provider" = "${getS3Provider()}",
+                "hive.parquet.time-zone" = "Asia/Shanghai",
                 "format" = "parquet") order by k1 limit 1;
             """
 
@@ -242,6 +243,7 @@ suite("test_nested_types_insert_into_with_s3", "p0") {
                 "s3.access_key"= "${ak}",
                 "s3.secret_key" = "${sk}",
                 "provider" = "${getS3Provider()}",
+                "hive.parquet.time-zone" = "Asia/Shanghai",
                 "format" = "parquet") order by k1 limit 1;
              """
 
@@ -278,6 +280,7 @@ suite("test_nested_types_insert_into_with_s3", "p0") {
             "uri" = "${parquetFiles[i]}",
             "s3.access_key"= "${ak}",
             "s3.secret_key" = "${sk}",
+            "hive.parquet.time-zone" = "Asia/Shanghai",
             "format" = "parquet") order by k1 limit 1;
             """
 
@@ -287,6 +290,7 @@ suite("test_nested_types_insert_into_with_s3", "p0") {
                 "uri" = "${parquetFiles[i]}",
                 "s3.access_key"= "${ak}",
                 "s3.secret_key" = "${sk}",
+                "hive.parquet.time-zone" = "Asia/Shanghai",
                 "format" = "parquet");"""
 
         qt_sql_arr_parquet_doris """ select c_bool,c_bigint,c_decimalv3,c_datetimev2 from ${table_names[i]} order by k1 limit 1; """
diff --git a/regression-test/suites/export_p0/outfile/parquet/test_outfile_parquet.groovy b/regression-test/suites/export_p0/outfile/parquet/test_outfile_parquet.groovy
index cd92abea53079d..f87e656c7c11ac 100644
--- a/regression-test/suites/export_p0/outfile/parquet/test_outfile_parquet.groovy
+++ b/regression-test/suites/export_p0/outfile/parquet/test_outfile_parquet.groovy
@@ -114,7 +114,9 @@ suite("test_outfile_parquet") {
             throw new IllegalStateException("""${outFilePath} already exists! """)
         }
         sql """
-            SELECT * FROM ${tableName} t ORDER BY user_id INTO OUTFILE "file://${outFilePath}/" FORMAT AS PARQUET;
+            SELECT * FROM ${tableName} t ORDER BY user_id
+            INTO OUTFILE "file://${outFilePath}/"
+            FORMAT AS PARQUET;
         """
 
         File[] files = path.listFiles()
diff --git a/regression-test/suites/external_table_p0/export/hive_read/parquet/test_doris_int96_round_trip.groovy b/regression-test/suites/external_table_p0/export/hive_read/parquet/test_doris_int96_round_trip.groovy
new file mode 100644
index 00000000000000..05f2fa9526080f
--- /dev/null
+++ b/regression-test/suites/external_table_p0/export/hive_read/parquet/test_doris_int96_round_trip.groovy
@@ -0,0 +1,75 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license agreements.  See the NOTICE file
+// distributed with this work for additional information
+// regarding copyright ownership.  The ASF licenses this file
+// to you under the Apache License, Version 2.0 (the
+// "License"); you may not use this file except in compliance
+// with the License.  You may obtain a copy of the License at
+//
+//   http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing,
+// software distributed under the License is distributed on an
+// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+// KIND, either express or implied.  See the License for the
+// specific language governing permissions and limitations
+// under the License.
+
+suite("test_doris_int96_round_trip", "p0,external") {
+    String enabled = context.config.otherConfigs.get("enableHiveTest")
+    if (enabled == null || !enabled.equalsIgnoreCase("true")) {
+        logger.info("disable Hive test.")
+        return
+    }
+
+    String hdfsPort = context.config.otherConfigs.get("hive2HdfsPort")
+    String externalEnvIp = context.config.otherConfigs.get("externalEnvIp")
+    String defaultFs = "hdfs://${externalEnvIp}:${hdfsPort}"
+    String uri = "${defaultFs}/user/doris/tmp_data/${UUID.randomUUID()}/exp_"
+
+    sql """ set enable_nereids_planner=true """
+    sql """ set enable_fallback_to_original_planner=false """
+    sql """ set time_zone='Asia/Shanghai' """
+
+    sql """ DROP TABLE IF EXISTS test_doris_int96_round_trip """
+    sql """
+        CREATE TABLE test_doris_int96_round_trip (
+            id INT,
+            datetime_value DATETIME,
+            datetimev2_value DATETIMEV2(6)
+        )
+        DISTRIBUTED BY HASH(id)
+        PROPERTIES ("replication_num" = "1")
+    """
+    sql """
+        INSERT INTO test_doris_int96_round_trip VALUES
+            (1, '2023-04-20 00:00:00', '2023-04-20 00:00:00.123456'),
+            (2, '1970-01-01 08:00:00', '1970-01-01 08:00:00.654321')
+    """
+
+    def result = sql """
+        SELECT * FROM test_doris_int96_round_trip ORDER BY id
+        INTO OUTFILE "${uri}"
+        FORMAT AS parquet
+        PROPERTIES (
+            "fs.defaultFS" = "${defaultFs}",
+            "hadoop.username" = "doris",
+            "enable_int96_timestamps" = "true"
+        )
+    """
+    String int96OutfileUrl = result[0][3]
+
+    // Doris normalizes INT96 using the export session timezone. Use a different read session
+    // timezone to prove hive.parquet.time-zone, rather than the session, restores wall-clock time.
+    sql """ set time_zone='America/Los_Angeles' """
+    qt_session_timezone """ SELECT @@time_zone """
+    qt_int96_round_trip """
+        SELECT * FROM HDFS(
+            "uri" = "${int96OutfileUrl}0.parquet",
+            "hadoop.username" = "doris",
+            "format" = "parquet",
+            "hive.parquet.time-zone" = "Asia/Shanghai"
+        )
+        ORDER BY id
+    """
+}
diff --git a/regression-test/suites/external_table_p0/export/hive_read/parquet/test_hive_read_parquet.groovy b/regression-test/suites/external_table_p0/export/hive_read/parquet/test_hive_read_parquet.groovy
index 7803883c51266c..fa6d1a2f8e8e75 100644
--- a/regression-test/suites/external_table_p0/export/hive_read/parquet/test_hive_read_parquet.groovy
+++ b/regression-test/suites/external_table_p0/export/hive_read/parquet/test_hive_read_parquet.groovy
@@ -61,9 +61,11 @@ suite("test_hive_read_parquet", "p0,external") {
             """
         }
 
-        def outfile_to_HDFS = {
+        def outfile_to_HDFS = { enableInt96Timestamps ->
             // select ... into outfile ...
             def uuid = UUID.randomUUID().toString()
+            def int96Property = enableInt96Timestamps == null ? "" :
+                    ",\n                    \"enable_int96_timestamps\" = \"${enableInt96Timestamps}\""
 
             outfile_path = "/user/doris/tmp_data/${uuid}"
             uri = "${defaultFS}" + "${outfile_path}/exp_"
@@ -74,8 +76,7 @@ suite("test_hive_read_parquet", "p0,external") {
                 FORMAT AS ${format}
                 PROPERTIES (
                     "fs.defaultFS"="${defaultFS}",
-                    "hadoop.username" = "${hdfsUserName}",
-                    "enable_int96_timestamps" = "true"
+                    "hadoop.username" = "${hdfsUserName}"${int96Property}
                 );
             """
             logger.info("outfile success path: " + res[0][3]);
@@ -135,7 +136,8 @@ suite("test_hive_read_parquet", "p0,external") {
             qt_select_base1 """ SELECT * FROM ${export_table_name} ORDER BY user_id; """ 
 
             // test outfile to hdfs
-            def outfile_url = outfile_to_HDFS()
+            // The default Doris OUTFILE path uses INT64 timestamps.
+            def outfile_url = outfile_to_HDFS(null)
 
             // create hive table
             create_hive_table(hive_table, hive_column_define)
@@ -249,9 +251,8 @@ suite("test_hive_read_parquet", "p0,external") {
             qt_select_base2 """ SELECT * FROM ${export_table_name} t ORDER BY user_id; """    
 
             // test outfile to hdfs
-            def outfile_url = outfile_to_HDFS()
-            // create hive table
-            create_hive_table(hive_table, hive_column_define)
+            // The default Doris OUTFILE path uses INT64 timestamps.
+            def outfile_url = outfile_to_HDFS(null)
 
             qt_select_tvf2 """ select * from HDFS(
                         "uri" = "${outfile_url}0.parquet",
@@ -259,6 +260,10 @@ suite("test_hive_read_parquet", "p0,external") {
                         "format" = "${format}");
                         """
 
+            // Hive 2 and 3 do not support Parquet INT64 logical timestamps. Keep the Doris
+            // OUTFILE/TVF path on INT64, and use INT96 only for the legacy Hive compatibility check.
+            outfile_to_HDFS(true)
+            create_hive_table(hive_table, hive_column_define)
             qt_hive_docker_02 """ SELECT * FROM ${hive_database}.${hive_table};"""
             
         } finally {
diff --git a/regression-test/suites/external_table_p0/export/hive_read/parquet/test_hive_read_parquet_complex_type.groovy b/regression-test/suites/external_table_p0/export/hive_read/parquet/test_hive_read_parquet_complex_type.groovy
index 94c516478b534b..5fa054d44f9006 100644
--- a/regression-test/suites/external_table_p0/export/hive_read/parquet/test_hive_read_parquet_complex_type.groovy
+++ b/regression-test/suites/external_table_p0/export/hive_read/parquet/test_hive_read_parquet_complex_type.groovy
@@ -90,9 +90,11 @@ suite("test_hive_read_parquet_complex_type", "p0,external") {
             hive_docker """ ${create_table_str} """
         }
 
-        def outfile_to_HDFS = {
+        def outfile_to_HDFS = { enableInt96Timestamps ->
             // select ... into outfile ...
             def uuid = UUID.randomUUID().toString()
+            def int96Property = enableInt96Timestamps == null ? "" :
+                    ",\n                    \"enable_int96_timestamps\" = \"${enableInt96Timestamps}\""
 
             outfile_path = "/user/doris/tmp_data/${uuid}"
             uri = "${defaultFS}" + "${outfile_path}/exp_"
@@ -102,8 +104,7 @@ suite("test_hive_read_parquet_complex_type", "p0,external") {
                 INTO OUTFILE "${uri}"
                 FORMAT AS ${format}
                 PROPERTIES (
-                    "hadoop.username" = "${hdfsUserName}",
-                    "enable_int96_timestamps" = "true"
+                    "hadoop.username" = "${hdfsUserName}"${int96Property}
                 );
             """
             logger.info("outfile success path: " + res[0][3]);
@@ -143,7 +144,8 @@ suite("test_hive_read_parquet_complex_type", "p0,external") {
             qt_select_base1 """ SELECT * FROM ${export_table_name} t ORDER BY user_id; """
 
             // test outfile to hdfs
-            def outfile_url = outfile_to_HDFS()
+            // The default Doris OUTFILE path uses INT64 timestamps.
+            def outfile_url = outfile_to_HDFS(null)
 
             // create hive table
             create_hive_table(hive_table, hive_field_define)
@@ -182,7 +184,8 @@ suite("test_hive_read_parquet_complex_type", "p0,external") {
             qt_select_base2 """ SELECT * FROM ${export_table_name} t ORDER BY user_id; """
 
             // test outfile to hdfs
-            def outfile_url = outfile_to_HDFS()
+            // The default Doris OUTFILE path uses INT64 timestamps.
+            def outfile_url = outfile_to_HDFS(null)
 
             // create hive table
             create_hive_table(hive_table, hive_field_define)
@@ -223,7 +226,8 @@ suite("test_hive_read_parquet_complex_type", "p0,external") {
             qt_select_base3 """ SELECT * FROM ${export_table_name} t ORDER BY user_id; """
 
             // test outfile to hdfs
-            def outfile_url = outfile_to_HDFS()
+            // The default Doris OUTFILE path uses INT64 timestamps.
+            def outfile_url = outfile_to_HDFS(null)
 
             // create hive table
             create_hive_table(hive_table, hive_field_define)
@@ -268,17 +272,24 @@ suite("test_hive_read_parquet_complex_type", "p0,external") {
             qt_select_base4 """ SELECT * FROM ${export_table_name} t ORDER BY user_id; """
 
             // test outfile to hdfs
-            def outfile_url = outfile_to_HDFS()
-
-            // create hive table
-            create_hive_table(hive_table, hive_field_define)
-
-            qt_select_tvf4 """ select * from HDFS(
+            // The default Doris OUTFILE path uses INT64 timestamps.
+            def outfile_url = outfile_to_HDFS(null)
+
+            qt_select_tvf4 """ select user_id, name,
+                            cast(s_info as struct<user_id:int, date:date, datetime:datetimev2(6),
+                                    city:string, age:smallint, sex:tinyint, bool_col:boolean,
+                                    int_col:int, bigint_col:bigint, largeint_col:string, float_col:float,
+                                    double_col:double, char_col:string, decimal_col:decimal(27, 9)>)
+                            from HDFS(
                             "uri" = "${outfile_url}0.parquet",
                             "hadoop.username" = "${hdfsUserName}",
                             "format" = "${format}");
                             """
 
+            // Hive 2 and 3 do not support Parquet INT64 logical timestamps. Keep the Doris
+            // OUTFILE/TVF path on INT64, and use INT96 only for the legacy Hive compatibility check.
+            outfile_to_HDFS(true)
+            create_hive_table(hive_table, hive_field_define)
             qt_hive_docker_04 """ SELECT * FROM ${hive_database}.${hive_table};"""
 
         } finally {
diff --git a/regression-test/suites/external_table_p0/hive/ddl/test_hive_ctas.groovy b/regression-test/suites/external_table_p0/hive/ddl/test_hive_ctas.groovy
index 64c127c030dab4..15b562a082a020 100644
--- a/regression-test/suites/external_table_p0/hive/ddl/test_hive_ctas.groovy
+++ b/regression-test/suites/external_table_p0/hive/ddl/test_hive_ctas.groovy
@@ -569,7 +569,8 @@ suite("test_hive_ctas", "p0,external") {
             'type'='hms',
             'hive.metastore.uris' = 'thrift://${externalEnvIp}:${hms_port}',
             'fs.defaultFS' = 'hdfs://${externalEnvIp}:${hdfs_port}',
-            'use_meta_cache' = 'true'
+            'use_meta_cache' = 'true',
+            'hive.parquet.time-zone' = 'Asia/Shanghai'
         );"""
         sql """switch ${catalog_name}"""
 
diff --git a/regression-test/suites/external_table_p0/hive/test_complex_types.groovy b/regression-test/suites/external_table_p0/hive/test_complex_types.groovy
index 40a815a4688d6b..ac59d835b603be 100644
--- a/regression-test/suites/external_table_p0/hive/test_complex_types.groovy
+++ b/regression-test/suites/external_table_p0/hive/test_complex_types.groovy
@@ -30,7 +30,8 @@ suite("test_complex_types", "p0,external") {
         sql """drop catalog if exists ${catalog_name}"""
         sql """create catalog if not exists ${catalog_name} properties (
             "type"="hms",
-            'hive.metastore.uris' = 'thrift://${externalEnvIp}:${hms_port}'
+            'hive.metastore.uris' = 'thrift://${externalEnvIp}:${hms_port}',
+            'hive.parquet.time-zone' = 'Asia/Shanghai'
         );"""
         logger.info("catalog " + catalog_name + " created")
         sql """switch ${catalog_name};"""
diff --git a/regression-test/suites/external_table_p0/hive/test_external_catalog_hive.groovy b/regression-test/suites/external_table_p0/hive/test_external_catalog_hive.groovy
index 50a72ddff075b3..e23cd7f67c1cab 100644
--- a/regression-test/suites/external_table_p0/hive/test_external_catalog_hive.groovy
+++ b/regression-test/suites/external_table_p0/hive/test_external_catalog_hive.groovy
@@ -33,7 +33,8 @@ suite("test_external_catalog_hive", "p0,external") {
         sql """
             create catalog if not exists ${catalog_name} properties (
                 'type'='hms',
-                'hive.metastore.uris' = 'thrift://${externalEnvIp}:${hms_port}'
+                'hive.metastore.uris' = 'thrift://${externalEnvIp}:${hms_port}',
+                'hive.parquet.time-zone' = 'Asia/Shanghai'
             );
         """
 
diff --git a/regression-test/suites/external_table_p0/hive/test_external_catalog_hive_partition.groovy b/regression-test/suites/external_table_p0/hive/test_external_catalog_hive_partition.groovy
index beef3b2254b739..85bd031a3048fe 100644
--- a/regression-test/suites/external_table_p0/hive/test_external_catalog_hive_partition.groovy
+++ b/regression-test/suites/external_table_p0/hive/test_external_catalog_hive_partition.groovy
@@ -30,7 +30,8 @@ suite("test_external_catalog_hive_partition", "p0,external") {
         sql """
             create catalog if not exists ${catalog_name} properties (
                 'type'='hms',
-                'hive.metastore.uris' = 'thrift://${extHiveHmsHost}:${extHiveHmsPort}'
+                'hive.metastore.uris' = 'thrift://${extHiveHmsHost}:${extHiveHmsPort}',
+                'hive.parquet.time-zone' = 'Asia/Shanghai'
             );
         """
 
diff --git a/regression-test/suites/external_table_p0/hive/test_hive_basic_type.groovy b/regression-test/suites/external_table_p0/hive/test_hive_basic_type.groovy
index 1a5965694935a1..9829388457e54c 100644
--- a/regression-test/suites/external_table_p0/hive/test_hive_basic_type.groovy
+++ b/regression-test/suites/external_table_p0/hive/test_hive_basic_type.groovy
@@ -39,7 +39,8 @@ suite("test_hive_basic_type", "p0,external") {
             sql """CREATE CATALOG ${catalog_name} PROPERTIES (
                 'type'='hms',
                 'hive.metastore.uris' = 'thrift://${externalEnvIp}:${hms_port}',
-                'hadoop.username' = 'hive'
+                'hadoop.username' = 'hive',
+                'hive.parquet.time-zone' = 'Asia/Shanghai'
             );"""
 
             sql """switch ${catalog_name}"""
diff --git a/regression-test/suites/external_table_p0/hive/test_hive_compress_type.groovy b/regression-test/suites/external_table_p0/hive/test_hive_compress_type.groovy
index 5742ddfd12984a..6dfeb2873c512c 100644
--- a/regression-test/suites/external_table_p0/hive/test_hive_compress_type.groovy
+++ b/regression-test/suites/external_table_p0/hive/test_hive_compress_type.groovy
@@ -31,7 +31,8 @@ suite("test_hive_compress_type", "p0,external") {
         sql """drop catalog if exists ${catalog_name}"""
         sql """create catalog if not exists ${catalog_name} properties (
             "type"="hms",
-            'hive.metastore.uris' = 'thrift://${externalEnvIp}:${hms_port}'
+            'hive.metastore.uris' = 'thrift://${externalEnvIp}:${hms_port}',
+            'hive.parquet.time-zone' = 'Asia/Shanghai'
         );"""
         sql """use `${catalog_name}`.`multi_catalog`"""
 
diff --git a/regression-test/suites/external_table_p0/hive/test_hive_get_schema_from_table.groovy b/regression-test/suites/external_table_p0/hive/test_hive_get_schema_from_table.groovy
index 772cf4d01f2bac..7c63764be7ccf8 100644
--- a/regression-test/suites/external_table_p0/hive/test_hive_get_schema_from_table.groovy
+++ b/regression-test/suites/external_table_p0/hive/test_hive_get_schema_from_table.groovy
@@ -78,7 +78,8 @@ suite("test_hive_get_schema_from_table", "p0,external") {
            'type'='hms',
            'hive.metastore.uris' = 'thrift://${externalEnvIp}:${hms_port}',
            'hadoop.username' = 'hive',
-           'get_schema_from_table' = 'true'
+           'get_schema_from_table' = 'true',
+           'hive.parquet.time-zone' = 'Asia/Shanghai'
        );"""
 
        sql """switch ${catalog_name}"""
diff --git a/regression-test/suites/external_table_p0/hive/test_hive_page_index.groovy b/regression-test/suites/external_table_p0/hive/test_hive_page_index.groovy
index 113494275622f5..7a28188ffb37e8 100644
--- a/regression-test/suites/external_table_p0/hive/test_hive_page_index.groovy
+++ b/regression-test/suites/external_table_p0/hive/test_hive_page_index.groovy
@@ -34,7 +34,8 @@ suite("test_hive_page_index", "p0,external") {
         sql """drop catalog if exists ${catalog_name}"""
         sql """create catalog if not exists ${catalog_name} properties (
             "type"="hms",
-            'hive.metastore.uris' = 'thrift://${externalEnvIp}:${hms_port}'
+            'hive.metastore.uris' = 'thrift://${externalEnvIp}:${hms_port}',
+            'hive.parquet.time-zone' = 'Asia/Shanghai'
         );"""
     
         sql """switch ${catalog_name}"""
diff --git a/regression-test/suites/external_table_p0/hive/test_hive_schema_evolution.groovy b/regression-test/suites/external_table_p0/hive/test_hive_schema_evolution.groovy
index 746a956f07eee4..0f94daedc48b17 100644
--- a/regression-test/suites/external_table_p0/hive/test_hive_schema_evolution.groovy
+++ b/regression-test/suites/external_table_p0/hive/test_hive_schema_evolution.groovy
@@ -67,7 +67,8 @@ suite("test_hive_schema_evolution", "p0,external") {
             sql """drop catalog if exists ${catalog_name}"""
             sql """create catalog if not exists ${catalog_name} properties (
                 "type"="hms",
-                'hive.metastore.uris' = 'thrift://${externalEnvIp}:${hms_port}'
+                'hive.metastore.uris' = 'thrift://${externalEnvIp}:${hms_port}',
+                'hive.parquet.time-zone' = 'Asia/Shanghai'
             );"""
             sql """switch ${catalog_name}"""
             sql """use `${catalog_name}`.`default`"""
diff --git a/regression-test/suites/external_table_p0/hive/write/test_hive_text_write_insert.groovy b/regression-test/suites/external_table_p0/hive/write/test_hive_text_write_insert.groovy
index 4f59b19f231b46..e867e0744361ce 100644
--- a/regression-test/suites/external_table_p0/hive/write/test_hive_text_write_insert.groovy
+++ b/regression-test/suites/external_table_p0/hive/write/test_hive_text_write_insert.groovy
@@ -893,7 +893,8 @@ suite("test_hive_text_write_insert", "p0,external") {
             sql """create catalog if not exists ${catalog_name} properties (
                 'type'='hms',
                 'hive.metastore.uris' = 'thrift://${externalEnvIp}:${hms_port}',
-                'fs.defaultFS' = 'hdfs://${externalEnvIp}:${hdfs_port}'
+                'fs.defaultFS' = 'hdfs://${externalEnvIp}:${hdfs_port}',
+                'hive.parquet.time-zone' = 'Asia/Shanghai'
             );"""
             sql """use `${catalog_name}`.`write_test`"""
             logger.info("hive sql: " + """ use `write_test` """)
diff --git a/regression-test/suites/external_table_p0/hive/write/test_hive_write_insert.groovy b/regression-test/suites/external_table_p0/hive/write/test_hive_write_insert.groovy
index 4942bc2383d715..6f5251afe75972 100644
--- a/regression-test/suites/external_table_p0/hive/write/test_hive_write_insert.groovy
+++ b/regression-test/suites/external_table_p0/hive/write/test_hive_write_insert.groovy
@@ -892,7 +892,8 @@ INSERT INTO all_types_par_${format_compression}_${catalog_name}_q03
             sql """create catalog if not exists ${catalog_name} properties (
                 'type'='hms',
                 'hive.metastore.uris' = 'thrift://${externalEnvIp}:${hms_port}',
-                'fs.defaultFS' = 'hdfs://${externalEnvIp}:${hdfs_port}'
+                'fs.defaultFS' = 'hdfs://${externalEnvIp}:${hdfs_port}',
+                'hive.parquet.time-zone' = 'Asia/Shanghai'
             );"""
             sql """use `${catalog_name}`.`write_test`"""
             logger.info("hive sql: " + """ use `write_test` """)
diff --git a/regression-test/suites/external_table_p0/hive/write/test_hive_write_partitions.groovy b/regression-test/suites/external_table_p0/hive/write/test_hive_write_partitions.groovy
index 6a2e3fe4a5351f..8dd0cac5cb7d0b 100644
--- a/regression-test/suites/external_table_p0/hive/write/test_hive_write_partitions.groovy
+++ b/regression-test/suites/external_table_p0/hive/write/test_hive_write_partitions.groovy
@@ -224,7 +224,8 @@ suite("test_hive_write_partitions", "p0,external") {
             sql """create catalog if not exists ${catalog_name} properties (
                 'type'='hms',
                 'hive.metastore.uris' = 'thrift://${externalEnvIp}:${hms_port}',
-                'fs.defaultFS' = 'hdfs://${externalEnvIp}:${hdfs_port}'
+                'fs.defaultFS' = 'hdfs://${externalEnvIp}:${hdfs_port}',
+                'hive.parquet.time-zone' = 'Asia/Shanghai'
             );"""
             sql """use `${catalog_name}`.`write_test`"""
             logger.info("hive sql: " + """ use `write_test` """)
diff --git a/regression-test/suites/external_table_p0/iceberg/write/test_iceberg_insert_overwrite.groovy b/regression-test/suites/external_table_p0/iceberg/write/test_iceberg_insert_overwrite.groovy
index 0acc21bc90ac1b..2b3414d633c89c 100644
--- a/regression-test/suites/external_table_p0/iceberg/write/test_iceberg_insert_overwrite.groovy
+++ b/regression-test/suites/external_table_p0/iceberg/write/test_iceberg_insert_overwrite.groovy
@@ -831,6 +831,7 @@ suite("test_iceberg_insert_overwrite", "p0,external") {
                 'type'='hms',
                 'hive.metastore.uris' = 'thrift://${externalEnvIp}:${hms_port}',
                 'fs.defaultFS' = 'hdfs://${externalEnvIp}:${hdfs_port}',
+                'hive.parquet.time-zone' = 'Asia/Shanghai',
                 'use_meta_cache' = 'true'
             );"""
 
diff --git a/regression-test/suites/external_table_p0/iceberg/write/test_iceberg_write_insert.groovy b/regression-test/suites/external_table_p0/iceberg/write/test_iceberg_write_insert.groovy
index 8b8973e416592e..5aef540d63c02e 100644
--- a/regression-test/suites/external_table_p0/iceberg/write/test_iceberg_write_insert.groovy
+++ b/regression-test/suites/external_table_p0/iceberg/write/test_iceberg_write_insert.groovy
@@ -826,6 +826,7 @@ suite("test_iceberg_write_insert", "p0,external") {
                 'type'='hms',
                 'hive.metastore.uris' = 'thrift://${externalEnvIp}:${hms_port}',
                 'fs.defaultFS' = 'hdfs://${externalEnvIp}:${hdfs_port}',
+                'hive.parquet.time-zone' = 'Asia/Shanghai',
                 'use_meta_cache' = 'true'
             );"""
 
diff --git a/regression-test/suites/external_table_p0/paimon/paimon_timestamp_types.groovy b/regression-test/suites/external_table_p0/paimon/paimon_timestamp_types.groovy
index dd3fcaadac2934..b2b0f3f66800d2 100644
--- a/regression-test/suites/external_table_p0/paimon/paimon_timestamp_types.groovy
+++ b/regression-test/suites/external_table_p0/paimon/paimon_timestamp_types.groovy
@@ -23,6 +23,7 @@ suite("paimon_timestamp_types", "p0,external") {
         return
     }
 
+    def originalTimeZone = sql("SELECT @@time_zone")[0][0]
     try {
         String catalog_name = "paimon_timestamp_types"
         String minio_port = context.config.otherConfigs.get("iceberg_minio_port")
@@ -44,6 +45,8 @@ suite("paimon_timestamp_types", "p0,external") {
         sql """use flink_paimon;"""
         logger.info("use test_paimon_db")
 
+        // The expected timestamp_ltz values are defined in the Asia/Shanghai timezone.
+        sql """set time_zone = 'Asia/Shanghai'"""
 
         def test_ltz_ntz = { table -> 
             qt_ltz_ntz2 """ select * from ${table} """
@@ -108,10 +111,11 @@ suite("paimon_timestamp_types", "p0,external") {
         test_ltz_ntz_simple("test_timestamp_ntz_ltz_simple_parquet")
     } finally {
         sql """set force_jni_scanner=false"""
+        sql """set time_zone = '${originalTimeZone}'"""
     }
 
     // TODO:
-    // 1. Fix: native read + parquet + timestamp(7/8/9) (ts7,ts8,ts9), it will be 8 hour more
+    // 1. Fix: FileScannerV1 + parquet + timestamp(7/8/9) (ts7,ts8,ts9), it will be 8 hour more
     // 2. paimon bugs: native read + orc + timestamp_ltz.
     //                 In the Shanghai time zone, the read data will be 8 hours less, 
     //                 because the data written by Flink to the orc file is UTC, but the time zone saved in the orc file is Shanghai.
diff --git a/regression-test/suites/external_table_p0/tvf/test_hdfs_parquet_group0.groovy b/regression-test/suites/external_table_p0/tvf/test_hdfs_parquet_group0.groovy
index 531bc0deac22b1..9e95864b123ecc 100644
--- a/regression-test/suites/external_table_p0/tvf/test_hdfs_parquet_group0.groovy
+++ b/regression-test/suites/external_table_p0/tvf/test_hdfs_parquet_group0.groovy
@@ -86,7 +86,8 @@ suite("test_hdfs_parquet_group0", "p0,external") {
             order_qt_test_8 """ select * from HDFS(
                         "uri" = "${uri}",
                         "hadoop.username" = "${hdfsUserName}",
-                        "format" = "parquet") limit 10; """
+                        "format" = "parquet",
+                        "hive.parquet.time-zone" = "Asia/Shanghai") limit 10; """
 
 
             uri = "${defaultFS}" + "/user/doris/tvf_data/test_hdfs_parquet/group0/delta_encoding_optional_column.parquet"
@@ -212,7 +213,8 @@ suite("test_hdfs_parquet_group0", "p0,external") {
             order_qt_test_26 """ select * from HDFS(
                         "uri" = "${uri}",
                         "hadoop.username" = "${hdfsUserName}",
-                        "format" = "parquet") limit 10; """
+                        "format" = "parquet",
+                        "hive.parquet.time-zone" = "Asia/Shanghai") limit 10; """
 
 
             uri = "${defaultFS}" + "/user/doris/tvf_data/test_hdfs_parquet/group0/dict-page-offset-zero.parquet"
@@ -361,14 +363,16 @@ suite("test_hdfs_parquet_group0", "p0,external") {
             order_qt_test_47 """ select * from HDFS(
                         "uri" = "${uri}",
                         "hadoop.username" = "${hdfsUserName}",
-                        "format" = "parquet") limit 10; """
+                        "format" = "parquet",
+                        "hive.parquet.time-zone" = "Asia/Shanghai") limit 10; """
 
 
             uri = "${defaultFS}" + "/user/doris/tvf_data/test_hdfs_parquet/group0/alltypes_tiny_pages_plain.parquet"
             order_qt_test_48 """ select * from HDFS(
                         "uri" = "${uri}",
                         "hadoop.username" = "${hdfsUserName}",
-                        "format" = "parquet") limit 10; """
+                        "format" = "parquet",
+                        "hive.parquet.time-zone" = "Asia/Shanghai") limit 10; """
 
 
             uri = "${defaultFS}" + "/user/doris/tvf_data/test_hdfs_parquet/group0/single_nan.parquet"
@@ -417,7 +421,8 @@ suite("test_hdfs_parquet_group0", "p0,external") {
             order_qt_test_55 """ select * from HDFS(
                         "uri" = "${uri}",
                         "hadoop.username" = "${hdfsUserName}",
-                        "format" = "parquet") limit 10; """
+                        "format" = "parquet",
+                        "hive.parquet.time-zone" = "Asia/Shanghai") limit 10; """
         } finally {
         }
     }
diff --git a/regression-test/suites/external_table_p0/tvf/test_local_tvf_with_complex_type_element_at.groovy b/regression-test/suites/external_table_p0/tvf/test_local_tvf_with_complex_type_element_at.groovy
index 28ddf9c7a51fe5..2ad30283df2ff6 100644
--- a/regression-test/suites/external_table_p0/tvf/test_local_tvf_with_complex_type_element_at.groovy
+++ b/regression-test/suites/external_table_p0/tvf/test_local_tvf_with_complex_type_element_at.groovy
@@ -95,40 +95,48 @@ suite("test_local_tvf_with_complex_type_element_at", "p0,external") {
         select * from local(
             "file_path" = "${outFilePath}/t.parquet",
             "backend_id" = "${be_id}",
-            "format" = "parquet"); """
+            "format" = "parquet",
+            "hive.parquet.time-zone" = "Asia/Shanghai"); """
 
    qt_sql """
             select count(*) from local(
                 "file_path" = "${outFilePath}/t.parquet",
                 "backend_id" = "${be_id}",
-                "format" = "parquet"); """
+                "format" = "parquet",
+                "hive.parquet.time-zone" = "Asia/Shanghai"); """
 
 
     qt_sql """ select arr_arr[1][1] from local (
                 "file_path" = "${outFilePath}/t.parquet",
                 "backend_id" = "${be_id}",          
-                "format" = "parquet");"""
+                "format" = "parquet",
+                "hive.parquet.time-zone" = "Asia/Shanghai");"""
 
     qt_sql """ select arr_map[1] from local (
                 "file_path" = "${outFilePath}/t.parquet",
                 "backend_id" = "${be_id}",          
-                "format" = "parquet");"""
+                "format" = "parquet",
+                "hive.parquet.time-zone" = "Asia/Shanghai");"""
     qt_sql """ select arr_map[1]["WdTnFb-LHW8Nel-laB-HCQA"] from local (
                 "file_path" = "${outFilePath}/t.parquet",
                 "backend_id" = "${be_id}",          
-                "format" = "parquet");"""
+                "format" = "parquet",
+                "hive.parquet.time-zone" = "Asia/Shanghai");"""
 
     qt_sql """ select map_map["W1iF16-DE1gzJx-avC-Mrf6"]["HJVQSC-46l3xm7-J6c-moIH"] from local (
                 "file_path" = "${outFilePath}/t.parquet",
                 "backend_id" = "${be_id}",          
-                "format" = "parquet");"""
+                "format" = "parquet",
+                "hive.parquet.time-zone" = "Asia/Shanghai");"""
 
     qt_sql """ select map_arr[1] from local (
                 "file_path" = "${outFilePath}/t.parquet",
                 "backend_id" = "${be_id}",          
-                "format" = "parquet");"""
+                "format" = "parquet",
+                "hive.parquet.time-zone" = "Asia/Shanghai");"""
     qt_sql """ select map_arr[1][7] from local (
                 "file_path" = "${outFilePath}/t.parquet",
                 "backend_id" = "${be_id}",          
-                "format" = "parquet");"""
+                "format" = "parquet",
+                "hive.parquet.time-zone" = "Asia/Shanghai");"""
 }