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• Re: [PR] Refactor ordered-set aggregate Dataframe APIs to align with SQL(#18279) [datafusion] via GitHub
  • Re: [PR] Refactor ordered-set aggregate Dataframe APIs to align with SQL(#18279) [datafusion] via GitHub
  • Re: [PR] Refactor ordered-set aggregate Dataframe APIs to align with SQL(#18279) [datafusion] via GitHub
  • Re: [PR] Refactor ordered-set aggregate Dataframe APIs to align with SQL(#18279) [datafusion] via GitHub
  • Re: [PR] Refactor ordered-set aggregate Dataframe APIs to align with SQL(#18279) [datafusion] via GitHub
  • Re: [PR] Refactor ordered-set aggregate Dataframe APIs to align with SQL(#18279) [datafusion] via GitHub
  • Re: [PR] Refactor ordered-set aggregate Dataframe APIs to align with SQL(#18279) [datafusion] via GitHub
• Re: [I] make DefaultLogicalExtensionCodec support serialisation of build in file formats [datafusion] via GitHub
• [PR] Make upper emit Utf8View for Utf8View input [datafusion] via GitHub
  • Re: [PR] Make upper emit Utf8View for Utf8View input [datafusion] via GitHub
  • Re: [PR] Make upper emit Utf8View for Utf8View input [datafusion] via GitHub
• Re: [I] Create Spark builtin function `array_contains` [datafusion] via GitHub
  • Re: [I] Create Spark builtin function `array_contains` [datafusion] via GitHub
  • Re: [I] Create Spark builtin function `array_contains` [datafusion] via GitHub
  • Re: [I] Create Spark builtin function `array_contains` [datafusion] via GitHub
  • Re: [I] Create Spark builtin function `array_contains` [datafusion] via GitHub
  • Re: [I] Create Spark builtin function `array_contains` [datafusion] via GitHub
  • Re: [I] Create Spark builtin function `array_contains` [datafusion] via GitHub
  • Re: [I] Create Spark builtin function `array_contains` [datafusion] via GitHub
• Re: [PR] Test upgrade to object store 0.13.0 [datafusion] via GitHub
• Re: [PR] Alamb/consolidate aggreate enu [datafusion] via GitHub
• Re: [I] [datafusion-spark] [SQL] [TEST] IntervalMonthDayNano(0,0,0) give line blank [datafusion] via GitHub
• Re: [I] Analyze current ClickBench performance with DataFusion 52 [datafusion] via GitHub
  • Re: [I] Analyze current ClickBench performance with DataFusion 52 [datafusion] via GitHub
  • Re: [I] Analyze current ClickBench performance with DataFusion 52 [datafusion] via GitHub
  • Re: [I] Analyze current ClickBench performance with DataFusion 52 [datafusion] via GitHub
  • Re: [I] Analyze current ClickBench performance with DataFusion 52 [datafusion] via GitHub
  • Re: [I] Analyze current ClickBench performance with DataFusion 52 [datafusion] via GitHub
• Re: [I] Update ClickBench benchmarks with DataFusion 52.0.0 [datafusion] via GitHub
  • Re: [I] Update ClickBench benchmarks with DataFusion 52.0.0 [datafusion] via GitHub
  • Re: [I] Update ClickBench benchmarks with DataFusion 52.0.0 [datafusion] via GitHub
• Re: [I] Release DataFusion `53.0.0` (Feb 2026 / Mar 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `53.0.0` (Feb 2026 / Mar 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `53.0.0` (Feb 2026 / Mar 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `53.0.0` (Feb 2026 / Mar 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `53.0.0` (Feb 2026 / Mar 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `53.0.0` (Feb 2026 / Mar 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `53.0.0` (Feb 2026 / Mar 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `53.0.0` (Feb 2026 / Mar 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `53.0.0` (Feb 2026 / Mar 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `53.0.0` (Feb 2026 / Mar 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `53.0.0` (Feb 2026 / Mar 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `53.0.0` (Feb 2026 / Mar 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `53.0.0` (Feb 2026 / Mar 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `53.0.0` (Feb 2026 / Mar 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `53.0.0` (Feb 2026 / Mar 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `53.0.0` (Feb 2026 / Mar 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `53.0.0` (Feb 2026 / Mar 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `53.0.0` (Feb 2026 / Mar 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `53.0.0` (Feb 2026 / Mar 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `53.0.0` (Feb 2026 / Mar 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `53.0.0` (Feb 2026 / Mar 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `53.0.0` (Feb 2026 / Mar 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `53.0.0` (Feb 2026 / Mar 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `53.0.0` (Feb 2026 / Mar 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `53.0.0` (Feb 2026 / Mar 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `53.0.0` (Feb 2026 / Mar 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `53.0.0` (Feb 2026 / Mar 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `53.0.0` (Feb 2026 / Mar 2026) [datafusion] via GitHub
• Re: [I] [datafusion-spark] Implement `ceil` function [datafusion] via GitHub
  • Re: [I] [datafusion-spark] Implement `ceil` function [datafusion] via GitHub
  • Re: [I] [datafusion-spark] Implement `ceil` function [datafusion] via GitHub
  • Re: [I] [datafusion-spark] Implement `ceil` function [datafusion] via GitHub
  • Re: [I] [datafusion-spark] Implement `ceil` function [datafusion] via GitHub
• Re: [PR] [datafusion-spark] Add Spark-compatible ceil function [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Add Spark-compatible ceil function [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Add Spark-compatible ceil function [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Add Spark-compatible ceil function [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Add Spark-compatible ceil function [datafusion] via GitHub
• Re: [I] [EPIC] Make DataFusion the top of the ClickBench Parquet leaderboard [datafusion] via GitHub
  • Re: [I] [EPIC] Make DataFusion the top of the ClickBench Parquet leaderboard [datafusion] via GitHub
  • Re: [I] [EPIC] Make DataFusion the top of the ClickBench Parquet leaderboard [datafusion] via GitHub
• [PR] Optimize casts [datafusion] via GitHub
  • Re: [PR] Optimize casts [datafusion] via GitHub
  • Re: [PR] Optimize casts [datafusion] via GitHub
  • Re: [PR] Optimize casts [datafusion] via GitHub
  • Re: [PR] Optimize casts [datafusion] via GitHub
• Re: [PR] [WIP] feat: Use put_batch_with_indices to track partitions by index for sort-based shuffle [datafusion-ballista] via GitHub
  • Re: [PR] [WIP] feat: Use put_batch_with_indices to track partitions by index for sort-based shuffle [datafusion-ballista] via GitHub
  • Re: [PR] [WIP] feat: Use put_batch_with_indices to track partitions by index for sort-based shuffle [datafusion-ballista] via GitHub
• [PR] Perf: use direct index based on statistics [datafusion] via GitHub
  • Re: [PR] Perf: use direct index based on statistics [datafusion] via GitHub
  • Re: [PR] Perf: use direct index based on statistics [datafusion] via GitHub
  • Re: [PR] Perf: use direct index based on statistics [datafusion] via GitHub
  • Re: [PR] Perf: use direct index based on statistics [datafusion] via GitHub
  • Re: [PR] Perf: use direct index based on statistics [datafusion] via GitHub
  • Re: [PR] Perf: use direct index based on statistics [datafusion] via GitHub
  • Re: [PR] Perf: use direct index based on statistics [datafusion] via GitHub
  • Re: [PR] Perf: use direct index based on statistics [datafusion] via GitHub
  • Re: [PR] Perf: use direct index based on adaptive strategy [datafusion] via GitHub
  • Re: [PR] Perf: use direct index based on adaptive strategy [datafusion] via GitHub
  • Re: [PR] Perf: use direct index based on adaptive strategy [datafusion] via GitHub
  • Re: [PR] Perf: use direct index based on adaptive strategy [datafusion] via GitHub
  • Re: [PR] Perf: use direct index based on adaptive strategy [datafusion] via GitHub
  • Re: [PR] Perf: use direct index based on adaptive strategy [datafusion] via GitHub
  • Re: [PR] Perf: use direct index based on adaptive strategy [datafusion] via GitHub
• [PR] Make repeat emit Utf8View for Utf8View input [datafusion] via GitHub
  • Re: [PR] Make repeat emit Utf8View for Utf8View input [datafusion] via GitHub
• Re: [PR] perf: Store values inline in GroupValuesPrimitive [datafusion] via GitHub
  • Re: [PR] perf: Store values inline in GroupValuesPrimitive [datafusion] via GitHub
  • Re: [PR] perf: Store values inline in GroupValuesPrimitive [datafusion] via GitHub
  • Re: [PR] perf: Store values inline in GroupValuesPrimitive [datafusion] via GitHub
  • Re: [PR] perf: Store values inline in GroupValuesPrimitive [datafusion] via GitHub
  • Re: [PR] perf: Store values inline in GroupValuesPrimitive [datafusion] via GitHub
  • Re: [PR] perf: Store values inline in GroupValuesPrimitive [datafusion] via GitHub
  • Re: [PR] perf: Store values inline in GroupValuesPrimitive [datafusion] via GitHub
  • Re: [PR] perf: Store values inline in GroupValuesPrimitive [datafusion] via GitHub
  • Re: [PR] perf: Store values inline in GroupValuesPrimitive [datafusion] via GitHub
• Re: [PR] perf: Move stored hashes from hash table entries to side Vec<u64> [datafusion] via GitHub
  • Re: [PR] perf: Move stored hashes from hash table entries to side Vec<u64> [datafusion] via GitHub
  • Re: [PR] perf: Move stored hashes from hash table entries to side Vec<u64> [datafusion] via GitHub
  • Re: [PR] perf: Move stored hashes from hash table entries to side Vec<u64> [datafusion] via GitHub
  • Re: [PR] perf: Move stored hashes from hash table entries to side Vec<u64> [datafusion] via GitHub
  • Re: [PR] perf: Move stored hashes from hash table entries to side Vec<u64> [datafusion] via GitHub
  • Re: [PR] perf: Move stored hashes from hash table entries to side Vec<u64> [datafusion] via GitHub
  • Re: [PR] perf: Move stored hashes from hash table entries to side Vec<u64> [datafusion] via GitHub
  • Re: [PR] perf: Move stored hashes from hash table entries to side Vec<u64> [datafusion] via GitHub
• Re: [I] Update string UDF's to have return type == input type where appropriate [datafusion] via GitHub
  • Re: [I] Update string UDF's to have return type == input type where appropriate [datafusion] via GitHub
  • Re: [I] Update string UDF's to have return type == input type where appropriate [datafusion] via GitHub
  • Re: [I] Update string UDF's to have return type == input type where appropriate [datafusion] via GitHub
  • Re: [I] Update string UDF's to have return type == input type where appropriate [datafusion] via GitHub
  • Re: [I] Update string UDF's to have return type == input type where appropriate [datafusion] via GitHub
  • Re: [I] Update string UDF's to have return type == input type where appropriate [datafusion] via GitHub
  • Re: [I] Update string UDF's to have return type == input type where appropriate [datafusion] via GitHub
  • Re: [I] Update string UDF's to have return type == input type where appropriate [datafusion] via GitHub
• Re: [I] [hdfs-opendal] Got an `reader got too little data` error on hdfs-opendal [datafusion-comet] via GitHub
  • Re: [I] [hdfs-opendal] Got an `reader got too little data` error on hdfs-opendal [datafusion-comet] via GitHub
• Re: [PR] chore(ci): use tpchgen-cli for generating the tpch dataset [datafusion-python] via GitHub
• Re: [D] DISCUSSION: San Francisco DataFusion Meetup (February 19, 2026) [datafusion] via GitHub
  • Re: [D] DISCUSSION: San Francisco DataFusion Meetup (February 19, 2026) [datafusion] via GitHub
  • Re: [D] DISCUSSION: San Francisco DataFusion Meetup (February 19, 2026) [datafusion] via GitHub
  • Re: [D] DISCUSSION: San Francisco DataFusion Meetup (February 19, 2026) [datafusion] via GitHub
• Re: [D] DISCUSSION: Apache DataFusion New York Meetup April / May 2026 [datafusion] via GitHub
  • Re: [D] DISCUSSION: Apache DataFusion New York Meetup April / May 2026 [datafusion] via GitHub
  • Re: [D] DISCUSSION: Apache DataFusion New York Meetup April / May 2026 [datafusion] via GitHub
• Re: [I] [EPIC] Migrate to functions in `datafusion-spark` crate [datafusion-comet] via GitHub
• [PR] feat: Add FFI_TableProviderFactory support [datafusion-python] via GitHub
• [I] feat: Investigate caching opportunities in `iceberg_scan.rs` [datafusion-comet] via GitHub
  • Re: [I] feat: Investigate caching opportunities in `iceberg_scan.rs` [datafusion-comet] via GitHub
  • Re: [I] feat: Investigate caching opportunities in `iceberg_scan.rs` [datafusion-comet] via GitHub
• [PR] perf: Optimize heap handling in TopK operator [datafusion] via GitHub
  • Re: [PR] perf: Optimize heap handling in TopK operator [datafusion] via GitHub
  • Re: [PR] perf: Optimize heap handling in TopK operator [datafusion] via GitHub
• Re: [PR] deps: DataFusion 52.0.0 migration (SchemaAdapter changes, etc.) [iceberg] [datafusion-comet] via GitHub
  • Re: [PR] deps: DataFusion 52.0.0 migration (SchemaAdapter changes, etc.) [iceberg] [datafusion-comet] via GitHub
  • Re: [PR] deps: DataFusion 52.0.0 migration (SchemaAdapter changes, etc.) [iceberg] [datafusion-comet] via GitHub
  • Re: [PR] deps: DataFusion 52.0.0 migration (SchemaAdapter changes, etc.) [iceberg] [datafusion-comet] via GitHub
• Re: [PR] perf: testing iceberg-rust ArrowReader optimizations [iceberg] [datafusion-comet] via GitHub
  • Re: [PR] perf: testing iceberg-rust ArrowReader optimizations [iceberg] [datafusion-comet] via GitHub
• Re: [I] Spark-compatible CAST operation [datafusion] via GitHub
• [PR] feat : support spark compatible int to timestamp cast [datafusion] via GitHub
  • Re: [PR] feat : support spark compatible int to timestamp cast [datafusion] via GitHub
  • Re: [PR] feat : support spark compatible int to timestamp cast [datafusion] via GitHub
  • Re: [PR] feat : support spark compatible int to timestamp cast [datafusion] via GitHub
  • Re: [PR] feat : support spark compatible int to timestamp cast [datafusion] via GitHub
  • Re: [PR] feat : support spark compatible int to timestamp cast [datafusion] via GitHub
  • Re: [PR] feat : support spark compatible int to timestamp cast [datafusion] via GitHub
  • Re: [PR] feat : support spark compatible int to timestamp cast [datafusion] via GitHub
  • Re: [PR] feat : support spark compatible int to timestamp cast [datafusion] via GitHub
  • Re: [PR] feat : support spark compatible int to timestamp cast [datafusion] via GitHub
• [I] Support spark compatible cast from int -> timestamp [datafusion] via GitHub
  • Re: [I] Support spark compatible cast from int -> timestamp [datafusion] via GitHub
• [PR] perf: Optimize `array_to_string()`, support decimal arrays [datafusion] via GitHub
  • Re: [PR] perf: Optimize `array_to_string()`, support decimal arrays [datafusion] via GitHub
  • Re: [PR] perf: Optimize `array_to_string()`, support decimal arrays [datafusion] via GitHub
  • Re: [PR] perf: Optimize `array_to_string()`, support decimal arrays [datafusion] via GitHub
  • Re: [PR] perf: Optimize `array_to_string()`, support decimal arrays [datafusion] via GitHub
  • Re: [PR] perf: Optimize `array_to_string()`, support decimal arrays [datafusion] via GitHub
  • Re: [PR] perf: Optimize `array_to_string()`, support more types [datafusion] via GitHub
  • Re: [PR] perf: Optimize `array_to_string()`, support more types [datafusion] via GitHub
  • Re: [PR] perf: Optimize `array_to_string()`, support more types [datafusion] via GitHub
  • Re: [PR] perf: Optimize `array_to_string()`, support more types [datafusion] via GitHub
• [I] `array_to_string()` does not support decimal arrays [datafusion] via GitHub
  • Re: [I] `array_to_string()` does not support decimal arrays [datafusion] via GitHub
  • Re: [I] `array_to_string()` does not support decimal arrays [datafusion] via GitHub
• [PR] infra: simplify Makefile [datafusion-site] via GitHub
  • Re: [PR] infra: simplify Makefile [datafusion-site] via GitHub
• [I] Optimize `array_to_string` to avoid unnecessary allocations [datafusion] via GitHub
  • Re: [I] Optimize `array_to_string` to avoid unnecessary allocations [datafusion] via GitHub
  • Re: [I] Optimize `array_to_string` to avoid unnecessary allocations [datafusion] via GitHub
• Re: [PR] chore: Remove all remaining uses of legacy BatchReader from Comet [iceberg] [datafusion-comet] via GitHub
• [I] Substrait physical plan producer emits invalid URIs for LocalFiles [datafusion] via GitHub
• [PR] build: fix runs-on tags for consistency [datafusion-comet] via GitHub
  • Re: [PR] build: fix runs-on tags for consistency [datafusion-comet] via GitHub
• [PR] chore: Add k8s support to TPC benchmark runner [datafusion-comet] via GitHub
• Re: [PR] feat: Add dialect-aware SQL serialization with `ToSql` trait for ClickHouse PascalCase types [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] feat: Add dialect-aware SQL serialization with `ToSql` trait for ClickHouse PascalCase types [datafusion-sqlparser-rs] via GitHub
• [I] Add utility crate [datafusion-python] via GitHub
  • Re: [I] Add utility crate [datafusion-python] via GitHub
• [PR] build: Skip CI workflows for changes in benchmarks directory [datafusion-comet] via GitHub
  • Re: [PR] build: Skip CI workflows for changes in benchmarks directory [datafusion-comet] via GitHub
• [PR] introduce generic runtime binding to phsycial expressisons: [datafusion] via GitHub
• [PR] docs: recommend SQL file tests for new expressions [datafusion-comet] via GitHub
  • Re: [PR] docs: recommend SQL file tests for new expressions [datafusion-comet] via GitHub
• [PR] Add Java Flight Recorder profiling to TPC benchmarks [datafusion-comet] via GitHub
• [PR] feat: support extension planner for `TableScan` [datafusion] via GitHub
  • Re: [PR] feat: support extension planner for `TableScan` [datafusion] via GitHub
  • Re: [PR] feat: support extension planner for `TableScan` [datafusion] via GitHub
  • Re: [PR] feat: support extension planner for `TableScan` [datafusion] via GitHub

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