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• • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
• Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
  • Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
  • Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
  • Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
  • Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
  • Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
  • Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
  • Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
  • Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
  • Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
  • Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
  • Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
  • Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
  • Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
  • Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
  • Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
  • Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
  • Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
  • Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
  • Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
  • Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
  • Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
  • Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
• Re: [I] Bug + Regression: median(null) fails in v54 [datafusion] via GitHub
  • Re: [I] Bug + Regression: median(null) fails in v54 [datafusion] via GitHub
  • Re: [I] Bug + Regression: median(null) fails in v54 [datafusion] via GitHub
• Re: [PR] feat: prune unread Parquet leaves when a nested column is cast to a narrower type [datafusion] via GitHub
  • Re: [PR] feat: prune unread Parquet leaves when a nested column is cast to a narrower type [datafusion] via GitHub
  • Re: [PR] feat: prune unread Parquet leaves when a nested column is cast to a narrower type [datafusion] via GitHub
  • Re: [PR] feat: prune unread Parquet leaves when a nested column is cast to a narrower type [datafusion] via GitHub
  • Re: [PR] feat: prune unread Parquet leaves when a nested column is cast to a narrower type [datafusion] via GitHub
• Re: [PR] Prune unread nested parquet leaves when a projected column is cast to a narrower type (nested schema pruning) [datafusion] via GitHub
• Re: [I] Support multiply and divide on intervals [datafusion] via GitHub
• [PR] build(deps): bump cryptography from 49.0.0 to 50.0.0 [datafusion-python] via GitHub
• [PR] fix: preserve concat binary string bytes [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve concat binary string bytes [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve concat binary string bytes [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve concat binary string bytes [datafusion-comet] via GitHub
• Re: [PR] fix: dedup commutative AND/OR operands when canonicalize is disabled [datafusion] via GitHub
  • Re: [PR] fix: dedup commutative AND/OR operands when canonicalize is disabled [datafusion] via GitHub
  • Re: [PR] fix: dedup commutative AND/OR operands when canonicalize is disabled [datafusion] via GitHub
  • Re: [PR] fix: dedup commutative AND/OR operands when canonicalize is disabled [datafusion] via GitHub
• Re: [PR] chore(ci): bump taiki-e/install-action from 2.85.4 to 2.85.6 [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): bump taiki-e/install-action from 2.85.4 to 2.85.6 [datafusion-ballista] via GitHub
• [PR] chore(ci): bump taiki-e/install-action from 2.85.4 to 2.85.7 [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): bump taiki-e/install-action from 2.85.4 to 2.85.7 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump bytesize from 2.4.2 to 2.7.0 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump bytesize from 2.4.2 to 2.7.0 [datafusion-ballista] via GitHub
• Re: [PR] perf: compute spark_size list lengths with Arrow length kernel [datafusion-comet] via GitHub
  • Re: [PR] perf: compute spark_size list lengths with Arrow length kernel [datafusion-comet] via GitHub
  • Re: [PR] perf: compute spark_size list lengths with Arrow length kernel [datafusion-comet] via GitHub
  • Re: [PR] perf: compute spark_size list lengths with Arrow length kernel [datafusion-comet] via GitHub
  • Re: [PR] perf: compute spark_size list lengths with Arrow length kernel [datafusion-comet] via GitHub
• [I] Use the offset buffer for Map in spark_size [datafusion-comet] via GitHub
  • Re: [I] Use the offset buffer for Map in spark_size [datafusion-comet] via GitHub
• Re: [PR] Feat: add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat: add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat: add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat: add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat: add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat: add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat: add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat: add dictionaries as a supported group column type [datafusion] via GitHub
• Re: [PR] fix: Correctly process numeric literals with underscores [datafusion] via GitHub
  • Re: [PR] fix: Correctly process numeric literals with underscores [datafusion] via GitHub
  • Re: [PR] fix: Correctly process numeric literals with underscores [datafusion] via GitHub
  • Re: [PR] fix: Correctly process numeric literals with underscores [datafusion] via GitHub
  • Re: [PR] fix: Correctly process numeric literals with underscores [datafusion] via GitHub
• Re: [PR] feat: add a broadcast channel for job state event notifications [datafusion-ballista] via GitHub
• Re: [PR] feat: add `poll_now_notify` to `poll_loop` and `on_work_available` callback [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `poll_now_notify` to `poll_loop` and `on_work_available` callback [datafusion-ballista] via GitHub
• Re: [I] Extend first_value / last_value GroupsAccumulator to nested types (List, Struct, Map) [datafusion] via GitHub
• Re: [PR] feat(scheduler): Redirect '/' to nighlies.a.o WebTUI [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): Redirect '/' to nighlies.a.o WebTUI [datafusion-ballista] via GitHub
• Re: [I] Wide-decimal overflow reports a different value than Spark [datafusion-comet] via GitHub
• Re: [PR] feat(functions-aggregate): support nested types (List, Struct, Map) in first_value / last_value GroupsAccumulator [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): support nested types (List, Struct, Map) in first_value / last_value GroupsAccumulator [datafusion] via GitHub
• Re: [PR] feat: execute uncorrelated scalar subqueries first instead of rewriting to a join [datafusion-ballista] via GitHub
• Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
• Re: [PR] perf(kll): batch-oriented ingest for the TDigest → KLL swap [datafusion-ballista] via GitHub
  • Re: [PR] perf(kll): batch-oriented ingest for the TDigest → KLL swap [datafusion-ballista] via GitHub
  • Re: [PR] perf(kll): batch-oriented ingest for the TDigest → KLL swap [datafusion-ballista] via GitHub
  • Re: [PR] perf(kll): batch-oriented ingest for the TDigest → KLL swap [datafusion-ballista] via GitHub
• Re: [PR] Add Spark-compatible weekday function [datafusion] via GitHub
• Re: [PR] Fix volatile scalar subquery deduplication [datafusion] via GitHub
  • Re: [PR] Fix volatile scalar subquery deduplication [datafusion] via GitHub
• Re: [PR] Refactor `regexp_count_inner` into a unified row-processing pipeline while preserving behavior [datafusion] via GitHub
  • Re: [PR] Refactor `regexp_count_inner` into a unified row-processing pipeline while preserving behavior [datafusion] via GitHub
• Re: [PR] Refactor projection scalar subquery rewrites to use slot-owned state [datafusion] via GitHub
  • Re: [PR] Refactor projection scalar subquery rewrites to use slot-owned state [datafusion] via GitHub
• Re: [PR] chore: apply workspace lints to all crates [datafusion] via GitHub
• Re: [PR] feat(scheduler): range-repartition rule primitives (batteries-included) [datafusion-ballista] via GitHub
• Re: [PR] Escape closing brackets in bracket-quoted identifiers [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Escape closing brackets in bracket-quoted identifiers [datafusion-sqlparser-rs] via GitHub
• Re: [PR] Databricks: support INSERT BY NAME [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Databricks: support INSERT BY NAME [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Databricks: support INSERT BY NAME [datafusion-sqlparser-rs] via GitHub
• Re: [PR] fix: preserve ABFS container in object store registry keys [datafusion] via GitHub
  • Re: [PR] fix: preserve ABFS container in object store registry keys [datafusion] via GitHub
  • Re: [PR] fix: preserve ABFS container in object store registry keys [datafusion] via GitHub
  • Re: [PR] fix: preserve ABFS container in object store registry keys [datafusion] via GitHub
  • Re: [PR] fix: preserve ABFS container in object store registry keys [datafusion] via GitHub
  • Re: [PR] fix: preserve ABFS container in object store registry keys [datafusion] via GitHub
• Re: [PR] Perf: Short circuit expensive comparissions in GroupColumn [datafusion] via GitHub
  • Re: [PR] Perf: Short circuit expensive comparissions in GroupColumn [datafusion] via GitHub
  • Re: [PR] Perf: Short circuit expensive comparissions in GroupColumn [datafusion] via GitHub
  • Re: [PR] Perf: Short circuit expensive comparissions in GroupColumn [datafusion] via GitHub
  • Re: [PR] Perf: Short circuit expensive comparissions in GroupColumn [datafusion] via GitHub
  • Re: [PR] Perf: Short circuit expensive comparissions in GroupColumn [datafusion] via GitHub
  • Re: [PR] Perf: Short circuit expensive comparissions in GroupColumn [datafusion] via GitHub
  • Re: [PR] Perf: Short circuit expensive comparissions in GroupColumn [datafusion] via GitHub
  • Re: [PR] Perf: Short circuit expensive comparissions in GroupColumn [datafusion] via GitHub
• Re: [PR] Iceberg-Ballista Crate [datafusion-ballista] via GitHub
  • Re: [PR] Iceberg-Ballista Crate [datafusion-ballista] via GitHub
  • Re: [PR] Iceberg-Ballista Crate [datafusion-ballista] via GitHub
• Re: [PR] feat(core): ValueIndexExec + ValueIndexReader + shuffle FileWriter switch [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): ValueIndexExec + ValueIndexReader + shuffle FileWriter switch [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): ValueIndexExec + ValueIndexReader + shuffle FileWriter switch [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): ValueIndexExec + ValueIndexReader + shuffle FileWriter switch [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): ValueIndexExec + ValueIndexReader + shuffle FileWriter switch [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): ValueIndexExec + ValueIndexReader + shuffle FileWriter switch [datafusion-ballista] via GitHub
• Re: [PR] deps: [DO NOT MERGE] test DataFusion 55.0, Arrow/Parqet 59.1 [datafusion-comet] via GitHub
• [PR] Populate executor's input metrics on fused operators [datafusion-comet] via GitHub
  • Re: [PR] fix: report `Input` column when native Iceberg scan is enabled or native shuffle is enabled [datafusion-comet] via GitHub
• Re: [PR] feat: Optionally split the Iceberg V2 write operator into distinct writer and committer operations [datafusion-comet] via GitHub
  • Re: [PR] feat: Optionally split the Iceberg V2 write operator into distinct writer and committer operations [datafusion-comet] via GitHub
  • Re: [PR] feat: Optionally split the Iceberg V2 write operator into distinct writer and committer operations [datafusion-comet] via GitHub
  • Re: [PR] feat: Optionally split the Iceberg V2 write operator into distinct writer and committer operations [datafusion-comet] via GitHub
  • Re: [PR] feat: Optionally split the Iceberg V2 write operator into distinct writer and committer operations [datafusion-comet] via GitHub
  • Re: [PR] feat: Optionally split the Iceberg V2 write operator into distinct writer and committer operations [datafusion-comet] via GitHub
  • Re: [PR] feat: Optionally split the Iceberg V2 write operator into distinct writer and committer operations [datafusion-comet] via GitHub
  • Re: [PR] feat: Optionally split the Iceberg V2 write operator into distinct writer and committer operations [datafusion-comet] via GitHub
  • Re: [PR] feat: Optionally split the Iceberg V2 write operator into distinct writer and committer operations [datafusion-comet] via GitHub
  • Re: [PR] feat: Optionally split the Iceberg V2 write operator into distinct writer and committer operations [datafusion-comet] via GitHub
  • Re: [PR] feat: Optionally split the Iceberg V2 write operator into distinct writer and committer operations [datafusion-comet] via GitHub
  • Re: [PR] feat: Optionally split the Iceberg V2 write operator into distinct writer and committer operations [datafusion-comet] via GitHub
  • Re: [PR] feat: Optionally split the Iceberg V2 write operator into distinct writer and committer operations [datafusion-comet] via GitHub
  • Re: [PR] feat: Optionally split the Iceberg V2 write operator into distinct writer and committer operations [datafusion-comet] via GitHub
• [I] Reading Iceberg tables show 0.0B for the Input column on Spark's executor UI [datafusion-comet] via GitHub
  • Re: [I] Reading Iceberg tables show 0.0B for the Input column on Spark's executor UI [datafusion-comet] via GitHub
• Re: [PR] feat: route translate and to_csv through codegen dispatch by default [datafusion-comet] via GitHub
• Re: [PR] bench: model remote object storage faithfully for --simulate-latency [datafusion] via GitHub
  • Re: [PR] bench: model remote object storage faithfully for --simulate-latency [datafusion] via GitHub

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