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• Re: [PR] chore: Replace stray old-style string builder in `substr` [datafusion] via GitHub
  • Re: [PR] chore: Replace stray old-style string builder in `substr` [datafusion] via GitHub
• Re: [PR] Fixed create table as with columns without types for redshift [datafusion-sqlparser-rs] via GitHub
• Re: [PR] Snowflake `COPY INTO`: support nested semi-structured path [datafusion-sqlparser-rs] via GitHub
• Re: [PR] Add datafusion/arrow_canonical_extension_types feature [datafusion] via GitHub
• Re: [PR] Add validation for CardinalityEffect::equal when executing a plan [datafusion] via GitHub
• Re: [PR] Fix Unparser for stacked Projections & Expand Unparser tests [datafusion] via GitHub
  • Re: [PR] Fix Unparser for stacked Projections & Expand Unparser tests [datafusion] via GitHub
  • Re: [PR] Fix Unparser for stacked Projections & Expand Unparser tests [datafusion] via GitHub
• Re: [PR] chore(deps): bump pbjson-types from 0.8.0 to 0.9.0 in the proto group across 1 directory [datafusion] via GitHub
  • Re: [PR] chore(deps): bump pbjson-types from 0.8.0 to 0.9.0 in the proto group across 1 directory [datafusion] via GitHub
• [PR] feat: Support Spark expression: convert_timezone [datafusion-comet] via GitHub
  • Re: [PR] feat: Support Spark expression: convert_timezone [datafusion-comet] via GitHub
  • Re: [PR] feat: Support Spark expression: convert_timezone [datafusion-comet] via GitHub
  • Re: [PR] feat: Support Spark expression: convert_timezone [datafusion-comet] via GitHub
  • Re: [PR] feat: Support Spark expression: convert_timezone [datafusion-comet] via GitHub
  • Re: [PR] feat: Support Spark expression: convert_timezone [datafusion-comet] via GitHub
• [PR] feat(parquet-datasource): always accept pushable filters, run rejected conjuncts post-scan [datafusion] via GitHub
  • Re: [PR] feat(parquet-datasource): always accept pushable filters, run rejected conjuncts post-scan [datafusion] via GitHub
  • Re: [PR] feat(parquet-datasource): always accept pushable filters, run rejected conjuncts post-scan [datafusion] via GitHub
  • Re: [PR] feat(parquet-datasource): always accept pushable filters, run rejected conjuncts post-scan [datafusion] via GitHub
  • Re: [PR] feat(parquet-datasource): always accept pushable filters, run rejected conjuncts post-scan [datafusion] via GitHub
  • Re: [PR] feat(parquet-datasource): always accept pushable filters, run rejected conjuncts post-scan [datafusion] via GitHub
  • Re: [PR] feat(parquet-datasource): always accept pushable filters, run rejected conjuncts post-scan [datafusion] via GitHub
  • Re: [PR] feat(parquet-datasource): always accept pushable filters, run rejected conjuncts post-scan [datafusion] via GitHub
• [PR] feat: DuckDB-compatible glob expressions in listing-table paths (filesystem + s3/gs/http URLs) [datafusion] via GitHub
• [PR] chore: enable ansi by default for Spark 4 tests [datafusion-comet] via GitHub
  • Re: [PR] chore: enable ansi by default for Spark 4 tests [datafusion-comet] via GitHub
  • Re: [PR] chore: enable ansi by default for Spark 4 tests [datafusion-comet] via GitHub
  • Re: [PR] chore: enable ansi by default for Spark 4 tests [datafusion-comet] via GitHub
  • Re: [PR] chore: enable ansi by default for Spark 4 tests [datafusion-comet] via GitHub
  • Re: [PR] chore: enable ansi by default for Spark 4 tests [datafusion-comet] via GitHub
• [PR] chore(deps): bump idna from 3.11 to 3.15 [datafusion-sandbox] via GitHub
• Re: [I] Expose `ExecutionPlan` statistics across the FFI boundary [datafusion] via GitHub
• Re: [I] panic: lead window function subtracts past i64::MIN with i64::MAX offset [datafusion] via GitHub
• Re: [I] panic: lead window function negates i64::MIN offset [datafusion] via GitHub
• Re: [PR] Fix: lead/lag extreme offsets handling [datafusion] via GitHub
• Re: [PR] Compact more aggressively in TopK based upon memory usage [datafusion] via GitHub
• [PR] chore(deps): fix CI, bump astral-tokio-tar [datafusion] via GitHub
  • Re: [PR] chore(deps): fix CI, bump astral-tokio-tar [datafusion] via GitHub
• Re: [I] Improve performance of aggregate expressions by implementing group accumulators [datafusion-comet] via GitHub
• Re: [I] Improve performance of `corr` and `covar` [datafusion-comet] via GitHub
• Re: [PR] feat: add experimental support for Spark regexp expressions via JVM UDF framework [datafusion-comet] via GitHub
  • Re: [PR] feat: add experimental support for Spark regexp expressions via JVM UDF framework [datafusion-comet] via GitHub
• Re: [PR] feat: add GroupsAccumulator for variance, stddev, covariance, correlation [datafusion-comet] via GitHub
  • Re: [PR] feat: add GroupsAccumulator for variance, stddev, covariance, correlation [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: convert_timezone [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: convert_timezone [datafusion-comet] via GitHub
• Re: [PR] fix: reduce memory allocation overhead during partial aggregation ear… [datafusion] via GitHub
• Re: [I] Extra memory allocated during partial aggregation early emit during OOM handling [datafusion] via GitHub
• Re: [I] Duplicate subqueries produce incorrect results [datafusion] via GitHub
• Re: [I] CREATE TABLE AS not checking column unicity [datafusion] via GitHub
• [PR] chore(deps): bump idna from 3.11 to 3.15 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump idna from 3.11 to 3.15 [datafusion] via GitHub
• [PR] chore(deps): bump sysinfo from 0.38.4 to 0.39.2 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump sysinfo from 0.38.4 to 0.39.2 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump sysinfo from 0.38.4 to 0.39.2 [datafusion] via GitHub
• [PR] chore(deps): bump the all-other-cargo-deps group with 3 updates [datafusion] via GitHub
  • Re: [PR] chore(deps): bump the all-other-cargo-deps group with 3 updates [datafusion] via GitHub
  • Re: [PR] chore(deps): bump the all-other-cargo-deps group across 1 directory with 3 updates [datafusion] via GitHub
  • Re: [PR] chore(deps): bump the all-other-cargo-deps group across 1 directory with 3 updates [datafusion] via GitHub
• [PR] chore(deps): bump github/codeql-action from 4.35.4 to 4.35.5 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump github/codeql-action from 4.35.4 to 4.35.5 [datafusion] via GitHub
• [PR] chore(deps): update myst-parser requirement from <6,>=5 to >=5.1.0,<6 in /docs [datafusion] via GitHub
  • Re: [PR] chore(deps): update myst-parser requirement from <6,>=5 to >=5.1.0,<6 in /docs [datafusion] via GitHub
• [PR] chore(deps): bump taiki-e/install-action from 2.77.6 to 2.79.2 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.77.6 to 2.79.2 [datafusion] via GitHub
• Re: [I] [Feature] Support Spark expression: make_interval [datafusion-comet] via GitHub
• Re: [I] Disable Comet if shuffle manager not registered [datafusion-comet] via GitHub
• Re: [PR] feat: disable Comet by default when CometShuffleManager is not registered [datafusion-comet] via GitHub
  • Re: [PR] feat: disable Comet by default when CometShuffleManager is not registered [datafusion-comet] via GitHub
• Re: [PR] minor: add higher-order function methods to SessionContext [datafusion] via GitHub
  • Re: [PR] minor: add higher-order function methods to SessionContext [datafusion] via GitHub
• [PR] chore(ci): Execute the CI workflows only when this is push to main or a PR against any branch [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): Execute the CI workflows only when this is push to main or a PR against any branch [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): Execute the CI workflows only when this is a push to main or a PR against any branch [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): Execute the CI workflows only when this is a push to main or a PR against any branch [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): Execute the CI workflows only when this is a push to main or a PR against any branch [datafusion-ballista] via GitHub
• [PR] chore(deps): bump idna from 3.11 to 3.15 in /python [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump idna from 3.11 to 3.15 in /python [datafusion-ballista] via GitHub
• Re: [PR] Add ExpressionAnalyzer for pluggable expression-level statistics estimation [datafusion] via GitHub
  • Re: [PR] Add ExpressionAnalyzer for pluggable expression-level statistics estimation [datafusion] via GitHub
  • Re: [PR] Add ExpressionAnalyzer for pluggable expression-level statistics estimation [datafusion] via GitHub
  • Re: [PR] Add ExpressionAnalyzer for pluggable expression-level statistics estimation [datafusion] via GitHub
• Re: [PR] Add StatisticsContext parameter to partition_statistics [datafusion] via GitHub
  • Re: [PR] Add StatisticsContext parameter to partition_statistics [datafusion] via GitHub
  • Re: [PR] Add StatisticsContext parameter to partition_statistics [datafusion] via GitHub
  • Re: [PR] Add StatisticsContext parameter to partition_statistics [datafusion] via GitHub
  • Re: [PR] Add StatisticsContext parameter to partition_statistics [datafusion] via GitHub
  • Re: [PR] Add StatisticsContext parameter to partition_statistics [datafusion] via GitHub
  • Re: [PR] Add StatisticsContext parameter to partition_statistics [datafusion] via GitHub
  • Re: [PR] Add StatisticsContext parameter to partition_statistics [datafusion] via GitHub
  • Re: [PR] Add StatisticsContext parameter to partition_statistics [datafusion] via GitHub
  • Re: [PR] Add StatisticsContext parameter to partition_statistics [datafusion] via GitHub
  • Re: [PR] Add StatisticsContext parameter to partition_statistics [datafusion] via GitHub
  • Re: [PR] Add StatisticsContext parameter to partition_statistics [datafusion] via GitHub
  • Re: [PR] Add StatisticsContext parameter to partition_statistics [datafusion] via GitHub
  • Re: [PR] Add StatisticsContext parameter to partition_statistics [datafusion] via GitHub
  • Re: [PR] Add StatisticsContext parameter to partition_statistics [datafusion] via GitHub
  • Re: [PR] Add StatisticsContext parameter to partition_statistics [datafusion] via GitHub
  • Re: [PR] Add StatisticsContext parameter to partition_statistics [datafusion] via GitHub
  • Re: [PR] Add StatisticsContext parameter to partition_statistics [datafusion] via GitHub
  • Re: [PR] Add StatisticsContext parameter to partition_statistics [datafusion] via GitHub
  • Re: [PR] Add StatisticsContext parameter to partition_statistics [datafusion] via GitHub
• [PR] Fix pruning predicate for `LIKE` expressions with escape sequences [datafusion] via GitHub
  • Re: [PR] Fix pruning predicate for `LIKE` expressions with escape sequences [datafusion] via GitHub
  • Re: [PR] Fix pruning predicate for `LIKE` expressions with escape sequences [datafusion] via GitHub
  • Re: [PR] Fix pruning predicate for `LIKE` expressions with escape sequences [datafusion] via GitHub
  • Re: [PR] Fix pruning predicate for `LIKE` expressions with escape sequences [datafusion] via GitHub
  • Re: [PR] Fix pruning predicate for `LIKE` expressions with escape sequences [datafusion] via GitHub
• [I] CometIcebergNativeScanExec: propagate outputOrdering from originalPlan instead of hardcoding Nil [datafusion-comet] via GitHub
• [I] CI runs some actions twice [datafusion-ballista] via GitHub
  • Re: [I] CI runs some actions twice [datafusion-ballista] via GitHub
  • Re: [I] CI runs some actions twice [datafusion-ballista] via GitHub
  • Re: [I] CI runs some actions twice [datafusion-ballista] via GitHub
  • Re: [I] CI runs some actions twice [datafusion-ballista] via GitHub
• Re: [I] [native_iceberg_compat] Add support for Parquet modular decryption [datafusion-comet] via GitHub
  • Re: [I] [native_iceberg_compat] Add support for Parquet modular decryption [datafusion-comet] via GitHub
• Re: [I] native_iceberg_compat uses hard-coded config values [datafusion-comet] via GitHub
  • Re: [I] native_iceberg_compat uses hard-coded config values [datafusion-comet] via GitHub
• [I] The pruning predicate for `LIKE` expressions doesn't handle escape sequences in the compared string [datafusion] via GitHub
  • Re: [I] The pruning predicate for `LIKE` expressions doesn't handle escape sequences in the compared string [datafusion] via GitHub
• Re: [I] Consider removing `ParquetFilters` [datafusion-comet] via GitHub
  • Re: [I] Consider removing `ParquetFilters` [datafusion-comet] via GitHub
• [PR] chore: generate changelog for ballista 53 [datafusion-ballista] via GitHub
  • Re: [PR] chore: generate changelog for ballista 53 [datafusion-ballista] via GitHub
• [PR] Js/cherry pick dynamic filter pushdown through aggregations [datafusion] via GitHub
• Re: [PR] feat: Native Delta Lake scan via delta-kernel-rs [datafusion-comet] via GitHub
  • Re: [PR] feat: Native Delta Lake scan via delta-kernel-rs [datafusion-comet] via GitHub
• [PR] feat(contrib): Native Delta Lake scan via delta-kernel-rs (Iceberg-style contrib) [datafusion-comet] via GitHub
• [PR] chore(deps): bump actions/upload-artifact from 4 to 7 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump actions/upload-artifact from 4 to 7 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump taiki-e/install-action from 2.68.34 to 2.79.2 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.68.34 to 2.79.2 [datafusion-ballista] via GitHub
• [PR] build(deps): bump idna from 3.10 to 3.15 [datafusion-python] via GitHub
• [PR] fix: avoid panic in TableSchema::with_table_partition_cols on shared Arc [datafusion] via GitHub
  • Re: [PR] fix: avoid panic in TableSchema::with_table_partition_cols on shared Arc [datafusion] via GitHub
  • Re: [PR] fix: avoid panic in TableSchema::with_table_partition_cols on shared Arc [datafusion] via GitHub
  • Re: [PR] fix: avoid panic in TableSchema::with_table_partition_cols on shared Arc [datafusion] via GitHub
  • Re: [PR] fix: avoid panic in TableSchema::with_table_partition_cols on shared Arc [datafusion] via GitHub
  • Re: [PR] fix: avoid panic in TableSchema::with_table_partition_cols on shared Arc [datafusion] via GitHub
• Re: [PR] feat: Plumb Parquet virtual columns (row_number) through TableSchema and ParquetOpener [datafusion] via GitHub
  • Re: [PR] feat: Plumb Parquet virtual columns (row_number) through TableSchema and ParquetOpener [datafusion] via GitHub
  • Re: [PR] feat: Plumb Parquet virtual columns (row_number) through TableSchema and ParquetOpener [datafusion] via GitHub
  • Re: [PR] feat: Plumb Parquet virtual columns (row_number) through TableSchema and ParquetOpener [datafusion] via GitHub
• [PR] Cross join MxN partitioning [datafusion] via GitHub
• Re: [PR] Fix: compact view buffers in ScalarValue::compact for all container t… [datafusion] via GitHub
  • Re: [PR] Fix: compact view buffers in ScalarValue::compact for all container t… [datafusion] via GitHub
  • Re: [PR] Fix: compact view buffers in ScalarValue::compact for all container t… [datafusion] via GitHub
  • Re: [PR] Fix: compact view buffers in ScalarValue::compact for all container t… [datafusion] via GitHub
  • Re: [PR] Fix: compact view buffers in ScalarValue::compact for all container t… [datafusion] via GitHub
• Re: [PR] perf: Optimize `overlay` with new string builder [datafusion] via GitHub
  • Re: [PR] perf: Optimize `overlay` with new string builder [datafusion] via GitHub
  • Re: [PR] perf: Optimize `overlay` with new string builder [datafusion] via GitHub
  • Re: [PR] perf: Optimize `overlay` with new string builder [datafusion] via GitHub
  • Re: [PR] perf: Optimize `overlay` with new string builder [datafusion] via GitHub
  • Re: [PR] perf: Optimize `overlay` with new string builder [datafusion] via GitHub
• Re: [PR] perf: Optimize `translate` to use new bulk-NULL string builders [datafusion] via GitHub
  • Re: [PR] perf: Optimize `translate` to use new bulk-NULL string builders [datafusion] via GitHub
  • Re: [PR] perf: Optimize `translate` to use new bulk-NULL string builders [datafusion] via GitHub
  • Re: [PR] perf: Optimize `translate` to use new bulk-NULL string builders [datafusion] via GitHub
• [PR] feat: Support Expanding OR Conditions in INNER JOIN into Multiple Mutually Exclusive Branches [datafusion] via GitHub
  • Re: [PR] feat: Support Expanding OR Conditions in INNER JOIN into Multiple Mutually Exclusive Branches [datafusion] via GitHub
  • Re: [PR] feat: Support Expanding OR Conditions in INNER JOIN into Multiple Mutually Exclusive Branches [datafusion] via GitHub
  • Re: [PR] feat: Support Expanding OR Conditions in INNER JOIN into Multiple Mutually Exclusive Branches [datafusion] via GitHub
  • Re: [PR] feat: Support Expanding OR Conditions in INNER JOIN into Multiple Mutually Exclusive Branches [datafusion] via GitHub
  • Re: [PR] feat: Support Expanding OR Conditions in INNER JOIN into Multiple Mutually Exclusive Branches [datafusion] via GitHub
  • Re: [PR] feat: Support Expanding OR Conditions in INNER JOIN into Multiple Mutually Exclusive Branches [datafusion] via GitHub
  • Re: [PR] feat: Support Expanding OR Conditions in INNER JOIN into Multiple Mutually Exclusive Branches [datafusion] via GitHub
  • Re: [PR] feat: Support Expanding OR Conditions in INNER JOIN into Multiple Mutually Exclusive Branches [datafusion] via GitHub
  • Re: [PR] feat: Support Expanding OR Conditions in INNER JOIN into Multiple Mutually Exclusive Branches [datafusion] via GitHub
  • Re: [PR] feat: Support Expanding OR Conditions in INNER JOIN into Multiple Mutually Exclusive Branches [datafusion] via GitHub
  • Re: [PR] feat: Support Expanding OR Conditions in INNER JOIN into Multiple Mutually Exclusive Branches [datafusion] via GitHub
  • Re: [PR] feat: Support Expanding OR Conditions in INNER JOIN into Multiple Mutually Exclusive Branches [datafusion] via GitHub
  • Re: [PR] feat: Support Expanding OR Conditions in INNER JOIN into Multiple Mutually Exclusive Branches [datafusion] via GitHub
  • Re: [PR] feat: Support Expanding OR Conditions in INNER JOIN into Multiple Mutually Exclusive Branches [datafusion] via GitHub
  • Re: [PR] feat: Support Expanding OR Conditions in INNER JOIN into Multiple Mutually Exclusive Branches [datafusion] via GitHub
  • Re: [PR] feat: Support Expanding OR Conditions in INNER JOIN into Multiple Mutually Exclusive Branches [datafusion] via GitHub
  • Re: [PR] feat: Support Expanding OR Conditions in INNER JOIN into Multiple Mutually Exclusive Branches [datafusion] via GitHub
• Re: [PR] fix: no executor warning, correct prometheus feature name in TUI [datafusion-ballista] via GitHub
  • Re: [PR] fix: no executor warning, correct prometheus feature name in TUI [datafusion-ballista] via GitHub
• Re: [PR] Add higher-order functions changes to upgrade guide [datafusion] via GitHub
  • Re: [PR] Add higher-order functions changes to upgrade guide [datafusion] via GitHub
  • Re: [PR] Add higher-order functions changes to upgrade guide [datafusion] via GitHub
  • Re: [PR] Add higher-order functions changes to upgrade guide [datafusion] via GitHub
• Re: [I] Placeholder datatype not inferred for `Expr::InSubquery` [datafusion] via GitHub
  • Re: [I] Placeholder datatype not inferred for `Expr::InSubquery` [datafusion] via GitHub
• Re: [PR] proto: add proto converter reference to PhysicalExtensionCodec trait [datafusion] via GitHub
  • Re: [PR] proto: add proto converter reference to PhysicalExtensionCodec trait [datafusion] via GitHub
  • Re: [PR] proto: add proto converter reference to PhysicalExtensionCodec trait [datafusion] via GitHub
  • Re: [PR] proto: add proto converter reference to PhysicalExtensionCodec trait [datafusion] via GitHub
• Re: [PR] feat: add native support for pmod expression [datafusion-comet] via GitHub
• Re: [PR] perf: use aligned slice access in SparkUnsafeArray bulk append [datafusion-comet] via GitHub
  • Re: [PR] perf: use aligned slice access in SparkUnsafeArray bulk append [datafusion-comet] via GitHub
  • Re: [PR] perf: use aligned slice access in SparkUnsafeArray bulk append [datafusion-comet] via GitHub
  • Re: [PR] perf: use aligned slice access in SparkUnsafeArray bulk append [datafusion-comet] via GitHub
• Re: [PR] feat(experimental): ScalaUDF and Java UDF support via Janino codegen [datafusion-comet] via GitHub
  • Re: [PR] feat(experimental): ScalaUDF and Java UDF support via Janino codegen [datafusion-comet] via GitHub
  • Re: [PR] feat(experimental): ScalaUDF and Java UDF support via Janino codegen [datafusion-comet] via GitHub
  • Re: [PR] feat(experimental): ScalaUDF and Java UDF support via Janino codegen [datafusion-comet] via GitHub

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