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• • Re: [PR] feat: Add comprehensive metrics tracking to CSV reader [datafusion] via GitHub
• [I] `AdaptivePlanner` uses `job_name` to identify jobs rather than `JobId` [datafusion-ballista] via GitHub
• Re: [I] Ballista 53.0.0 — `BatchCoalescer expects 0 columns` on TPCDS Q9 [datafusion-ballista] via GitHub
  • Re: [I] Ballista 53.0.0 — `BatchCoalescer expects 0 columns` on TPCDS Q9 [datafusion-ballista] via GitHub
  • Re: [I] Ballista 53.0.0 — `BatchCoalescer expects 0 columns` on TPCDS Q9 [datafusion-ballista] via GitHub
  • Re: [I] Ballista 53.0.0 — `BatchCoalescer expects 0 columns` on TPCDS Q9 [datafusion-ballista] via GitHub
  • Re: [I] Ballista 53.0.0 — `BatchCoalescer expects 0 columns` on TPCDS Q9 [datafusion-ballista] via GitHub
  • Re: [I] Ballista 53.0.0 — `BatchCoalescer expects 0 columns` on TPCDS Q9 [datafusion-ballista] via GitHub
  • Re: [I] Ballista 53.0.0 — `BatchCoalescer expects 0 columns` on TPCDS Q9 [datafusion-ballista] via GitHub
  • Re: [I] Ballista 53.0.0 — `BatchCoalescer expects 0 columns` on TPCDS Q9 [datafusion-ballista] via GitHub
  • Re: [I] Ballista 53.0.0 — `BatchCoalescer expects 0 columns` on TPCDS Q9 [datafusion-ballista] via GitHub
  • Re: [I] Ballista 53.0.0 — `BatchCoalescer expects 0 columns` on TPCDS Q9 [datafusion-ballista] via GitHub
• Re: [I] [DISCUSSION] Adopt datafusion-functions-json and datafusion-variant into core repo [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Adopt datafusion-functions-json and datafusion-variant into core repo [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Adopt datafusion-functions-json and datafusion-variant into core repo [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Adopt datafusion-functions-json and datafusion-variant into core repo [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Adopt datafusion-functions-json and datafusion-variant into core repo [datafusion] via GitHub
• [PR] refactor(hash-aggr): Forward port the partial aggregation skip optimization to the new hash aggregation impl [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate the partial aggregation skip optimization to the new hash aggregation impl [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate the partial aggregation skip optimization to the new hash aggregation impl [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate the partial aggregation skip optimization to the new hash aggregation impl [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate the partial aggregation skip optimization to the new hash aggregation impl [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate the partial aggregation skip optimization to the new hash aggregation impl [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate the partial aggregation skip optimization to the new hash aggregation impl [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate the partial aggregation skip optimization to the new hash aggregation impl [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate the partial aggregation skip optimization to the new hash aggregation impl [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate the partial aggregation skip optimization to the new hash aggregation impl [datafusion] via GitHub
• [PR] chore(deps): bump taiki-e/install-action from 2.81.9 to 2.81.10 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.81.9 to 2.81.10 [datafusion-ballista] via GitHub
• [I] Replace manual memory tracking with Arrow claim()/with_pool() integration [datafusion] via GitHub
  • Re: [I] Replace manual memory tracking with Arrow claim()/with_pool() integration [datafusion] via GitHub
  • Re: [I] Replace manual memory tracking with Arrow claim()/with_pool() integration [datafusion] via GitHub
• [PR] fix: TRY_CAST returns NULL for timestamp/date overflow [datafusion] via GitHub
  • Re: [PR] fix: TRY_CAST returns NULL for timestamp/date overflow [datafusion] via GitHub
  • Re: [PR] fix: TRY_CAST returns NULL for timestamp/date overflow [datafusion] via GitHub
  • Re: [PR] fix: TRY_CAST returns NULL for timestamp/date overflow [datafusion] via GitHub
  • Re: [PR] fix: TRY_CAST returns NULL for timestamp/date overflow [datafusion] via GitHub
• [I] TRY_CAST returns an error instead of NULL for timestamp/date overflow [datafusion] via GitHub
  • Re: [I] TRY_CAST returns an error instead of NULL for timestamp/date overflow [datafusion] via GitHub
  • Re: [I] TRY_CAST returns an error instead of NULL for timestamp/date overflow [datafusion] via GitHub
• Re: [PR] fix: Correct array_contains behavior for Spark-style null semantics [datafusion-comet] via GitHub
  • Re: [PR] fix: Correct array_contains behavior for Spark-style null semantics [datafusion-comet] via GitHub
• Re: [PR] feat: replace `ScalarValue` with `DynComparator` for RANGE calculation [datafusion] via GitHub
• Re: [PR] fix: Percent Encoding of paths for hive style partitioning [datafusion] via GitHub
• Re: [PR] perf: Improve planning time w/ global default `ConfigOptions` [datafusion] via GitHub
• Re: [PR] Skip zero-fill of hash buffer by writing null sentinels [datafusion] via GitHub
• Re: [PR] perf: do not build parquet pruning predicates if no page index [datafusion] via GitHub
  • Re: [PR] perf: do not build parquet pruning predicates if no page index [datafusion] via GitHub
• Re: [PR] fix: unify ordering display with optimization path [datafusion] via GitHub
• Re: [PR] Update contributor names in changelog for version 52.4.0 [datafusion] via GitHub
• Re: [PR] Defer task spawning in SortPreservingMergeExec to first poll [datafusion] via GitHub
• Re: [PR] feat: decimal support for gcd and lcm [datafusion] via GitHub
  • Re: [PR] feat: decimal support for gcd and lcm [datafusion] via GitHub
  • Re: [PR] feat: decimal support for gcd and lcm [datafusion] via GitHub
  • Re: [PR] feat: decimal support for gcd and lcm [datafusion] via GitHub
  • Re: [PR] feat: decimal support for gcd and lcm [datafusion] via GitHub
  • Re: [PR] feat: decimal support for gcd and lcm [datafusion] via GitHub
  • Re: [PR] feat: decimal support for gcd and lcm [datafusion] via GitHub
  • Re: [PR] feat: decimal support for gcd and lcm [datafusion] via GitHub
  • Re: [PR] feat: decimal support for gcd and lcm [datafusion] via GitHub
  • Re: [PR] feat: decimal support for gcd and lcm [datafusion] via GitHub
  • Re: [PR] feat: decimal support for gcd and lcm [datafusion] via GitHub
  • Re: [PR] feat: decimal support for gcd and lcm [datafusion] via GitHub
  • Re: [PR] feat: decimal support for gcd and lcm [datafusion] via GitHub
• Re: [I] Avoid FFI import/export when passing batches between two native plans [datafusion-comet] via GitHub
• Re: [I] AsyncFuncExpr drops async UDF return field metadata [datafusion] via GitHub
• Re: [I] [Bug] CAST(complex AS STRING) does not honour spark.sql.legacy.castComplexTypesToString.enabled [datafusion-comet] via GitHub
  • Re: [I] [Bug] CAST(complex AS STRING) does not honour spark.sql.legacy.castComplexTypesToString.enabled [datafusion-comet] via GitHub
  • Re: [I] [Bug] CAST(complex AS STRING) does not honour spark.sql.legacy.castComplexTypesToString.enabled [datafusion-comet] via GitHub
• Re: [PR] test: cover nested complex casts [datafusion-comet] via GitHub
  • Re: [PR] test: cover nested complex casts [datafusion-comet] via GitHub
  • Re: [PR] test: cover nested complex casts [datafusion-comet] via GitHub
  • Re: [PR] test: cover nested complex casts [datafusion-comet] via GitHub
  • Re: [PR] test: cover nested complex casts [datafusion-comet] via GitHub
• [I] `optimize_projections` fails with "No field named ..." when join keys contain `get_field` (ExtractLeafExpressions) [datafusion] via GitHub
  • Re: [I] `optimize_projections` fails with "No field named ..." when join keys contain `get_field` (ExtractLeafExpressions) [datafusion] via GitHub
  • Re: [I] `optimize_projections` fails with "No field named ..." when join keys contain `get_field` (ExtractLeafExpressions) [datafusion] via GitHub
• [PR] chore: Skip Code CI for non code changes [datafusion] via GitHub
  • Re: [PR] chore: Skip Code CI for non code changes [datafusion] via GitHub
  • Re: [PR] chore: Skip Code CI for non code changes [datafusion] via GitHub
  • Re: [PR] chore: Skip Code CI for non code changes [datafusion] via GitHub
  • Re: [PR] chore: Skip Code CI for non code changes [datafusion] via GitHub
  • Re: [PR] chore: Skip Code CI for non code changes [datafusion] via GitHub
• [PR] fix: Omit NULL values from build side of hash joins [datafusion] via GitHub
  • Re: [PR] fix: Omit NULL values from build side of hash joins [datafusion] via GitHub
  • Re: [PR] fix: Omit NULL values from build side of hash joins [datafusion] via GitHub
  • Re: [PR] fix: Omit NULL values from build side of hash joins [datafusion] via GitHub
  • Re: [PR] fix: Omit NULL values from build side of hash joins [datafusion] via GitHub
  • Re: [PR] fix: Omit NULL values from build side of hash joins [datafusion] via GitHub
  • Re: [PR] fix: Omit NULL values from build side of hash joins [datafusion] via GitHub
• Re: [PR] docs: lead README with the Arrow-native framing [datafusion-comet] via GitHub
  • Re: [PR] docs: lead README with the Arrow-native framing [datafusion-comet] via GitHub
  • Re: [PR] docs: lead README with the Arrow-native framing [datafusion-comet] via GitHub
  • Re: [PR] docs: lead README with the Arrow-native framing [datafusion-comet] via GitHub
  • Re: [PR] docs: lead README with the Arrow-native framing [datafusion-comet] via GitHub
  • Re: [PR] docs: lead README with the Arrow-native framing [datafusion-comet] via GitHub
• [PR] refactor: make scalar distance u64 and overflow aware [datafusion] via GitHub
  • Re: [PR] refactor: make scalar distance u64 and overflow aware [datafusion] via GitHub
  • Re: [PR] refactor: make scalar distance u64 and overflow aware [datafusion] via GitHub
  • Re: [PR] refactor: make scalar distance u64 and overflow aware [datafusion] via GitHub
  • Re: [PR] refactor: make scalar distance u64 and overflow aware [datafusion] via GitHub
  • Re: [PR] refactor: make scalar distance u64 and overflow aware [datafusion] via GitHub
  • Re: [PR] refactor: make scalar distance u64 and overflow aware [datafusion] via GitHub
  • Re: [PR] refactor: make scalar distance u64 and overflow aware [datafusion] via GitHub
  • Re: [PR] refactor: make scalar distance u64 and overflow aware [datafusion] via GitHub
• [PR] chore(docs): Update docs website to bring inline with Datafusion style [datafusion-ballista] via GitHub
  • Re: [PR] chore(docs): Update docs website to bring inline with Datafusion style [datafusion-ballista] via GitHub
  • Re: [PR] chore(docs): Update docs website to bring inline with Datafusion style [datafusion-ballista] via GitHub
  • Re: [PR] chore(docs): Update docs website to bring inline with Datafusion style [datafusion-ballista] via GitHub
  • Re: [PR] chore(docs): Update docs website to bring inline with Datafusion style [datafusion-ballista] via GitHub
  • Re: [PR] chore(docs): Update docs website to bring inline with Datafusion style [datafusion-ballista] via GitHub
  • Re: [PR] chore(docs): Update docs website to bring inline with Datafusion style [datafusion-ballista] via GitHub
  • Re: [PR] chore(docs): Update docs website to bring inline with Datafusion style [datafusion-ballista] via GitHub
  • Re: [PR] chore(docs): Update docs website to bring inline with Datafusion style [datafusion-ballista] via GitHub
• [I] Update the documentation website [datafusion-ballista] via GitHub
  • Re: [I] Update the documentation website [datafusion-ballista] via GitHub
• Re: [I] Make Scalar Distance Overflow-Aware and Domain-Sized [datafusion] via GitHub
  • Re: [I] Make Scalar Distance Overflow-Aware and Domain-Sized [datafusion] via GitHub
• Re: [PR] feat: add SessionContextBuilder.withSparkFunctions for Spark-compatible functions [datafusion-java] via GitHub
  • Re: [PR] feat: add SessionContextBuilder.withSparkFunctions for Spark-compatible functions [datafusion-java] via GitHub
• Re: [I] [Bug] array_max and array_min disagree with Spark on NaN ordering [datafusion-comet] via GitHub
  • Re: [I] [Bug] array_max and array_min disagree with Spark on NaN ordering [datafusion-comet] via GitHub
• Re: [I] Write a wikipedia article for Apache DataFusion [datafusion] via GitHub
  • Re: [I] Write a wikipedia article for Apache DataFusion [datafusion] via GitHub
• Re: [PR] perf: Convert inner joins to semi joins when equivalent [datafusion] via GitHub
  • Re: [PR] perf: Convert inner joins to semi joins when equivalent [datafusion] via GitHub
  • Re: [PR] perf: Convert inner joins to semi joins when equivalent [datafusion] via GitHub
  • Re: [PR] perf: Convert inner joins to semi joins when equivalent [datafusion] via GitHub
  • Re: [PR] perf: Convert inner joins to semi joins when equivalent [datafusion] via GitHub
• [I] Physical planning: cast low-medium cardinality columns to dictionary arrays before aggregation [datafusion] via GitHub
  • Re: [I] Physical planning: cast low-medium cardinality columns to dictionary arrays before aggregation [datafusion] via GitHub
• [PR] Feat/spark levenshtein [datafusion] via GitHub
  • Re: [PR] feat(spark): add levenshtein with optional threshold support [datafusion] via GitHub
  • Re: [PR] feat(spark): add levenshtein with optional threshold support [datafusion] via GitHub
  • Re: [PR] feat(spark): add levenshtein with optional threshold support [datafusion] via GitHub
  • Re: [PR] feat(spark): add levenshtein with optional threshold support [datafusion] via GitHub
  • Re: [PR] feat(spark): add levenshtein with optional threshold support [datafusion] via GitHub
  • Re: [PR] feat(spark): add levenshtein with optional threshold support [datafusion] via GitHub
  • Re: [PR] feat(spark): add levenshtein with optional threshold support [datafusion] via GitHub
  • Re: [PR] feat(spark): add levenshtein with optional threshold support [datafusion] via GitHub
  • Re: [PR] feat(spark): add levenshtein with optional threshold support [datafusion] via GitHub
  • Re: [PR] feat(spark): add levenshtein with optional threshold support [datafusion] via GitHub
• [PR] chore(deps-dev): bump shell-quote from 1.8.3 to 1.8.4 in /datafusion/wasmtest/datafusion-wasm-app [datafusion-sandbox] via GitHub
• [PR] fix: [DO NOT MERGE] Iceberg scan duplicates rows when splitting a single-row-group Parquet file into multiple byte-range tasks [datafusion-comet] via GitHub
  • Re: [PR] fix: bump iceberg-rust dependency, pick up fix for duplicate rows when FileScanTask smaller than Parquet row group [datafusion-comet] via GitHub
• Re: [I] `nanvl` incorrectly rounds on integer input [datafusion] via GitHub
• [I] June 2026 DataFusion ASF Board Report [datafusion] via GitHub
  • Re: [I] June 2026 DataFusion ASF Board Report [datafusion] via GitHub
  • Re: [I] June 2026 DataFusion ASF Board Report [datafusion] via GitHub
  • Re: [I] June 2026 DataFusion ASF Board Report [datafusion] via GitHub
  • Re: [I] June 2026 DataFusion ASF Board Report [datafusion] via GitHub
• [I] September 2026 DataFusion ASF Board Report [datafusion] via GitHub
• Re: [I] Comet native Iceberg scan duplicates rows when splitting a single-row-group Parquet file into multiple byte-range tasks [datafusion-comet] via GitHub
  • Re: [I] Comet native Iceberg scan duplicates rows when splitting a single-row-group Parquet file into multiple byte-range tasks [datafusion-comet] via GitHub
  • Re: [I] Comet native Iceberg scan duplicates rows when splitting a single-row-group Parquet file into multiple byte-range tasks [datafusion-comet] via GitHub
  • Re: [I] Comet native Iceberg scan duplicates rows when splitting a single-row-group Parquet file into multiple byte-range tasks [datafusion-comet] via GitHub
• Re: [PR] feat: add datafusion-json crate with json_get_str scaffolding [datafusion] via GitHub
  • Re: [PR] feat: add datafusion-json crate with json_get_str scaffolding [datafusion] via GitHub
  • Re: [PR] feat: add datafusion-json crate with json_get_str scaffolding [datafusion] via GitHub
  • Re: [PR] feat: add datafusion-json crate with json_get_str scaffolding [datafusion] via GitHub
• Re: [PR] minor: handle NULL array input in array_remove and array_replace [datafusion] via GitHub
• Re: [PR] refactor: remove `opt_filter` in `GroupsAccumulator::merge_batch` [datafusion] via GitHub
  • Re: [PR] refactor: remove `opt_filter` in `GroupsAccumulator::merge_batch` [datafusion] via GitHub
  • Re: [PR] refactor: remove `opt_filter` in `GroupsAccumulator::merge_batch` [datafusion] via GitHub
• [PR] [Draft][#21878] extensive test for multi-dictionary column group bys [datafusion] via GitHub
  • Re: [PR] [#21878] extensive test for multi-dictionary column group bys [datafusion] via GitHub
  • Re: [PR] [#21878] extensive test for multi-dictionary column group bys [datafusion] via GitHub
  • Re: [PR] [#21878] extensive test for multi-dictionary column group bys [datafusion] via GitHub
  • Re: [PR] [#21878] extensive test for multi-dictionary column group bys [datafusion] via GitHub
• Re: [I] map() fails with 'key and value lists must have the same length' when keys are literals and values are column expressions [datafusion] via GitHub
• Re: [I] Implement Spark `weekday` [datafusion] via GitHub
• Re: [PR] fix: Correct output-count stats for partitioned partial aggs [datafusion] via GitHub
• Re: [I] Stats for no-grouping agg are wrong for partial output mode [datafusion] via GitHub
• Re: [PR] feat: implement Spark-compatible weekday function [datafusion] via GitHub
• Re: [I] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
• Re: [PR] perf: fast-path inline strings in ByteViewGroupValueBuilder::vectorized_append [datafusion] via GitHub
• [PR] fix: coerce SIMILAR TO operands to a common string type to avoid 'failed to downcast array' panic [datafusion] via GitHub
  • Re: [PR] fix: coerce SIMILAR TO operands to a common string type to avoid 'failed to downcast array' panic [datafusion] via GitHub
  • Re: [PR] fix: coerce SIMILAR TO operands to a common string type to avoid 'failed to downcast array' panic [datafusion] via GitHub
  • Re: [PR] fix: coerce SIMILAR TO operands to a common string type to avoid 'failed to downcast array' panic [datafusion] via GitHub
  • Re: [PR] fix: coerce SIMILAR TO operands to a common string type to avoid 'failed to downcast array' panic [datafusion] via GitHub
  • Re: [PR] fix: coerce SIMILAR TO operands to a common string type to avoid 'failed to downcast array' panic [datafusion] via GitHub
• Re: [PR] perf: avoid FFI import/export between native subtree and ShuffleWriter [datafusion-comet] via GitHub
  • Re: [PR] perf: avoid FFI import/export between native subtree and ShuffleWriter [datafusion-comet] via GitHub
  • Re: [PR] perf: avoid FFI import/export between native subtree and ShuffleWriter [datafusion-comet] via GitHub
  • Re: [PR] perf: avoid FFI import/export between native subtree and ShuffleWriter [datafusion-comet] via GitHub
• Re: [PR] feat: add native implementations of `regexp_extract` and `regexp_extract_all` [datafusion-comet] via GitHub
  • Re: [PR] feat: add native implementations of `regexp_extract` and `regexp_extract_all` [datafusion-comet] via GitHub
  • Re: [PR] feat: add native implementations of `regexp_extract` and `regexp_extract_all` [datafusion-comet] via GitHub
• [I] SIMILAR TO panics ('failed to downcast array') when operand types differ (e.g. NULL pattern, Utf8View vs Utf8) [datafusion] via GitHub
• Re: [PR] PoC: Blocked state management for hash aggregation [datafusion] via GitHub
• [PR] perf: Extend WindowTopN to support RANK [datafusion] via GitHub
  • Re: [PR] perf: Extend WindowTopN to support RANK [datafusion] via GitHub
  • Re: [PR] perf: Extend WindowTopN to support RANK [datafusion] via GitHub
  • Re: [PR] perf: Extend WindowTopN to support RANK [datafusion] via GitHub
• Re: [I] AbstractMethodError: CometBroadcastExchangeExec missing sparkContext() from BroadcastExchangeLike [datafusion-comet] via GitHub
• Re: [PR] fix: map() fails when keys are literals and values are column expressions [datafusion] via GitHub
  • Re: [PR] fix: map() fails when keys are literals and values are column expressions [datafusion] via GitHub
  • Re: [PR] fix: map() fails when keys are literals and values are column expressions [datafusion] via GitHub
• Re: [PR] fix: preserve async UDF return field metadata [datafusion] via GitHub

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