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• • Re: [PR] docs: explain Parquet content-defined chunking [datafusion] via GitHub
  • Re: [PR] docs: explain Parquet content-defined chunking [datafusion] via GitHub
  • Re: [PR] docs: explain Parquet content-defined chunking [datafusion] via GitHub
  • Re: [PR] docs: explain Parquet content-defined chunking [datafusion] via GitHub
  • Re: [PR] docs: explain Parquet content-defined chunking [datafusion] via GitHub
  • Re: [PR] docs: explain Parquet content-defined chunking [datafusion] via GitHub
  • Re: [PR] docs: explain Parquet content-defined chunking [datafusion] via GitHub
  • Re: [PR] docs: explain Parquet content-defined chunking [datafusion] via GitHub
• [PR] chore(ci): bump taiki-e/install-action from 2.85.7 to 2.85.8 [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): bump taiki-e/install-action from 2.85.7 to 2.85.8 [datafusion-ballista] via GitHub
• Re: [I] doc: explain the parquet cdc feature from a user perspective [datafusion] via GitHub
  • Re: [I] doc: explain the parquet cdc feature from a user perspective [datafusion] via GitHub
• [PR] chore(ci): bump the github-codeql group with 2 updates [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): bump the github-codeql group with 2 updates [datafusion-ballista] via GitHub
• [PR] chore(deps): bump lru from 0.18.1 to 0.18.2 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump lru from 0.18.1 to 0.18.2 [datafusion-ballista] via GitHub
• Re: [PR] feat: attach Diagnostic to "invalid function argument types" error [datafusion] via GitHub
  • Re: [PR] feat: attach Diagnostic to "invalid function argument types" error [datafusion] via GitHub
  • Re: [PR] feat: attach Diagnostic to "invalid function argument types" error [datafusion] via GitHub
  • Re: [PR] feat: attach Diagnostic to "invalid function argument types" error [datafusion] via GitHub
• Re: [PR] Add DataSource/FileSource proto hooks and FileScanConfig serde [datafusion] via GitHub
  • Re: [PR] Add DataSource/FileSource proto hooks and FileScanConfig serde [datafusion] via GitHub
  • Re: [PR] Add DataSource/FileSource proto hooks and FileScanConfig serde [datafusion] via GitHub
  • Re: [PR] Add DataSource/FileSource proto hooks and FileScanConfig serde [datafusion] via GitHub
  • Re: [PR] Add DataSource/FileSource proto hooks and FileScanConfig serde [datafusion] via GitHub
  • Re: [PR] Add DataSource/FileSource proto hooks and FileScanConfig serde [datafusion] via GitHub
  • Re: [PR] Add DataSource/FileSource proto hooks and FileScanConfig serde [datafusion] via GitHub
• Re: [PR] [branch-54] Fix evaluation of lambda with multiple parameters when some are unused (backport of #22853, adapted) [datafusion] via GitHub
  • Re: [PR] [branch-54] Fix evaluation of lambda with multiple parameters when some are unused (backport of #22853, adapted) [datafusion] via GitHub
• Re: [I] Deprecate `PruningPredicate::try_new` in favor of `PruningPredicateBuilder` [datafusion] via GitHub
• Re: [I] Proto: migrate the file sinks (CsvSink, JsonSink, ParquetSink) [datafusion] via GitHub
• Re: [PR] feat(optimizer): logical rewrite Filter(row_number() = 1) over PARTITION BY → Aggregate(FIRST_VALUE(... ORDER BY)) [datafusion] via GitHub
  • Re: [PR] feat(optimizer): logical rewrite Filter(row_number() = 1) over PARTITION BY → Aggregate(FIRST_VALUE(... ORDER BY)) [datafusion] via GitHub
• [I] 【资源分享】Gemini Pro 1年高级稳定号（已过反重力可直登）——高频开发测试必备 [datafusion] via GitHub
  • Re: [I] 【资源分享】Gemini Pro 1年高级稳定号（已过反重力可直登）——高频开发测试必备 [datafusion] via GitHub
• Re: [I] Writes to Apache Iceberg Tables [datafusion-comet] via GitHub
• Re: [I] Add User Persona Documentation [datafusion] via GitHub
• Re: [PR] refactor(pruning): deprecate PruningPredicate::try_new [datafusion] via GitHub
  • Re: [PR] refactor(pruning): deprecate PruningPredicate::try_new [datafusion] via GitHub
  • Re: [PR] refactor(pruning): deprecate PruningPredicate::try_new [datafusion] via GitHub
  • Re: [PR] refactor(pruning): deprecate PruningPredicate::try_new [datafusion] via GitHub
  • Re: [PR] refactor(pruning): deprecate PruningPredicate::try_new [datafusion] via GitHub
• [PR] test: cover the narrowing direction of cast_and_stamp_schema [datafusion-comet] via GitHub
  • Re: [PR] test: cover the narrowing direction of cast_and_stamp_schema [datafusion-comet] via GitHub
• Re: [I] ShuffleScanExec and ExpandExec assert on nested field nullability instead of normalizing it [datafusion-comet] via GitHub
• Re: [PR] fix: normalize nested field nullability in ShuffleScanExec and ExpandExec [datafusion-comet] via GitHub
  • Re: [PR] fix: normalize nested field nullability in ShuffleScanExec and ExpandExec [datafusion-comet] via GitHub
  • Re: [PR] fix: normalize nested field nullability in ShuffleScanExec and ExpandExec [datafusion-comet] via GitHub
  • Re: [PR] fix: normalize nested field nullability in ShuffleScanExec and ExpandExec [datafusion-comet] via GitHub
• Re: [PR] Reapply "Add ExecutionPlan::apply_expressions() (apache#20337)" (apache#22437) [datafusion] via GitHub
  • Re: [PR] Reapply "Add ExecutionPlan::apply_expressions() (apache#20337)" (apache#22437) [datafusion] via GitHub
  • Re: [PR] Reapply "Add ExecutionPlan::apply_expressions() (apache#20337)" (apache#22437) [datafusion] via GitHub
  • Re: [PR] Reapply "Add ExecutionPlan::apply_expressions() (apache#20337)" (apache#22437) [datafusion] via GitHub
  • Re: [PR] Reapply "Add ExecutionPlan::apply_expressions() (apache#20337)" (apache#22437) [datafusion] via GitHub
  • Re: [PR] Reapply "Add ExecutionPlan::apply_expressions() (apache#20337)" (apache#22437) [datafusion] via GitHub
  • Re: [PR] Reapply "Add ExecutionPlan::apply_expressions() (apache#20337)" (apache#22437) [datafusion] via GitHub
  • Re: [PR] Reapply "Add ExecutionPlan::apply_expressions() (apache#20337)" (apache#22437) [datafusion] via GitHub
  • Re: [PR] Reapply "Add ExecutionPlan::apply_expressions() (apache#20337)" (apache#22437) [datafusion] via GitHub
  • Re: [PR] Reapply "Add ExecutionPlan::apply_expressions() (apache#20337)" (apache#22437) [datafusion] via GitHub
  • Re: [PR] Reapply "Add ExecutionPlan::apply_expressions() (apache#20337)" (apache#22437) [datafusion] via GitHub
  • Re: [PR] Reapply "Add ExecutionPlan::apply_expressions() (apache#20337)" (apache#22437) [datafusion] via GitHub
  • Re: [PR] Reapply "Add ExecutionPlan::apply_expressions() (apache#20337)" (apache#22437) [datafusion] via GitHub
  • Re: [PR] Reapply "Add ExecutionPlan::apply_expressions() (apache#20337)" (apache#22437) [datafusion] via GitHub
  • Re: [PR] Reapply "Add ExecutionPlan::apply_expressions() (apache#20337)" (apache#22437) [datafusion] via GitHub
  • Re: [PR] Reapply "Add ExecutionPlan::apply_expressions() (apache#20337)" (apache#22437) [datafusion] via GitHub
  • Re: [PR] Reapply "Add ExecutionPlan::apply_expressions() (apache#20337)" (apache#22437) [datafusion] via GitHub
  • Re: [PR] Reapply "Add ExecutionPlan::apply_expressions() (apache#20337)" (apache#22437) [datafusion] via GitHub
  • Re: [PR] Reapply "Add ExecutionPlan::apply_expressions() (apache#20337)" (apache#22437) [datafusion] via GitHub
  • Re: [PR] Reapply "Add ExecutionPlan::apply_expressions() (apache#20337)" (apache#22437) [datafusion] via GitHub
  • Re: [PR] Reapply "Add ExecutionPlan::apply_expressions() (apache#20337)" (apache#22437) [datafusion] via GitHub
  • Re: [PR] Reapply "Add ExecutionPlan::apply_expressions() (apache#20337)" (apache#22437) [datafusion] via GitHub
  • Re: [PR] Reapply "Add ExecutionPlan::apply_expressions() (apache#20337)" (apache#22437) [datafusion] via GitHub
  • Re: [PR] Reapply "Add ExecutionPlan::apply_expressions() (apache#20337)" (apache#22437) [datafusion] via GitHub
  • Re: [PR] Reapply "Add ExecutionPlan::apply_expressions() (apache#20337)" (apache#22437) [datafusion] via GitHub
  • Re: [PR] Reapply "Add ExecutionPlan::apply_expressions() (apache#20337)" (apache#22437) [datafusion] via GitHub
  • Re: [PR] Reapply "Add ExecutionPlan::apply_expressions() (apache#20337)" (apache#22437) [datafusion] via GitHub
  • Re: [PR] Reapply "Add ExecutionPlan::apply_expressions() (apache#20337)" (apache#22437) [datafusion] via GitHub
• Re: [PR] refactor: move lambda variable scope into Physical Planning Context [datafusion] via GitHub
  • Re: [PR] refactor: move lambda variable scope into Physical Planning Context [datafusion] via GitHub
• Re: [I] Grouped approx_distinct can overflow Arrow BinaryArray state offsets [datafusion] via GitHub
  • Re: [I] Grouped approx_distinct can overflow Arrow BinaryArray state offsets [datafusion] via GitHub
• Re: [I] [Status Update] Simplifing Streams to be more textbook-like and have less state while keeping the same perf [datafusion] via GitHub
  • Re: [I] [Status Update] Simplifing Streams to be more textbook-like and have less state while keeping the same perf [datafusion] via GitHub
• Re: [PR] fix: normalize signed zero in nested float array comparisons [datafusion-comet] via GitHub
  • Re: [PR] fix: normalize signed zero in nested float array comparisons [datafusion-comet] via GitHub
  • Re: [PR] fix: normalize signed zero in nested float array comparisons [datafusion-comet] via GitHub
  • Re: [PR] fix: normalize signed zero in nested float array comparisons [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] fix(scheduler): route launch-failure executor removal through ExecutorLost [datafusion-ballista] via GitHub
  • Re: [PR] fix(scheduler): route launch-failure executor removal through ExecutorLost [datafusion-ballista] via GitHub
  • Re: [PR] fix(scheduler): route launch-failure executor removal through ExecutorLost [datafusion-ballista] via GitHub
  • Re: [PR] fix(scheduler): route launch-failure executor removal through ExecutorLost [datafusion-ballista] via GitHub
• [PR] perf: optimize char -> byte offset mapping in `regexp_count` [datafusion] via GitHub
  • Re: [PR] perf: optimize char -> byte offset mapping in `regexp_count` [datafusion] via GitHub
  • Re: [PR] perf: optimize char -> byte offset mapping in `regexp_count` [datafusion] via GitHub
  • Re: [PR] perf: optimize char -> byte offset mapping in `regexp_count` [datafusion] via GitHub
  • Re: [PR] perf: optimize char -> byte offset mapping in `regexp_count` [datafusion] via GitHub
  • Re: [PR] perf: optimize char -> byte offset mapping in `regexp_count` [datafusion] via GitHub
• Re: [PR] fix: normalize floating-point values in native collect_set [datafusion-comet] via GitHub
  • Re: [PR] fix: normalize floating-point values in native collect_set [datafusion-comet] via GitHub
  • Re: [PR] fix: normalize floating-point values in native collect_set [datafusion-comet] via GitHub
• Re: [I] Avoid recompute CTEs (common table expressions) / share input plans [datafusion] via GitHub
  • Re: [I] Avoid recompute CTEs (common table expressions) / share input plans [datafusion] via GitHub
  • Re: [I] Avoid recompute CTEs (common table expressions) / share input plans [datafusion] via GitHub
  • Re: [I] Avoid recompute CTEs (common table expressions) / share input plans [datafusion] via GitHub
  • Re: [I] Avoid recompute CTEs (common table expressions) / share input plans [datafusion] via GitHub
• Re: [PR] fix: include ABFS container in object store cache key [datafusion-comet] via GitHub
  • Re: [PR] fix: include ABFS container in object store cache key [datafusion-comet] via GitHub
• [I] Inconsistent NULL handling in `regexp_count` [datafusion] via GitHub
  • Re: [I] Inconsistent NULL handling in `regexp_count` [datafusion] via GitHub
  • Re: [I] Inconsistent NULL handling in `regexp_count` [datafusion] via GitHub
  • Re: [I] Inconsistent NULL handling in `regexp_count`, `regexp_instr` [datafusion] via GitHub
• Re: [I] next_day and make_date ANSI errors surface as CometNativeException instead of Spark exception classes [datafusion-comet] via GitHub
• Re: [PR] fix: surface next_day and make_date ANSI errors as Spark exceptions [datafusion-comet] via GitHub
• [PR] bench: add standard window function cases to bounded_window [datafusion] via GitHub
  • Re: [PR] bench: add standard window function cases to bounded_window [datafusion] via GitHub
  • Re: [PR] bench: add standard window function cases to bounded_window [datafusion] via GitHub
  • Re: [PR] bench: add standard window function cases to bounded_window [datafusion] via GitHub
  • Re: [PR] bench: add standard window function cases to bounded_window [datafusion] via GitHub
• Re: [I] Discuss `spark.comet.enabled` parameter behavior [datafusion-comet] via GitHub
• [PR] docs(kubernetes): two-Service pattern for scheduler bootstrap [datafusion-ballista] via GitHub
  • Re: [PR] docs(kubernetes): two-Service pattern for scheduler bootstrap [datafusion-ballista] via GitHub
  • Re: [PR] docs(kubernetes): two-Service pattern for scheduler bootstrap [datafusion-ballista] via GitHub
• Re: [I] Pipeline FFI types: missing Protocols, ABCs, and capsule helpers [datafusion-python] via GitHub
• [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
• Re: [I] Benchmarking menu in contrib guide is truncated [datafusion-comet] via GitHub
• Re: [PR] feat: parallel BWAG for the range-window shape (h2o Q8) [datafusion-ballista] via GitHub
  • Re: [PR] feat: parallel BWAG for the range-window shape (h2o Q8) [datafusion-ballista] via GitHub
  • Re: [PR] feat: parallel BWAG for the range-window shape (h2o Q8) [datafusion-ballista] via GitHub
  • Re: [PR] feat: parallel BWAG for the range-window shape (h2o Q8) [datafusion-ballista] via GitHub
  • Re: [PR] feat: parallel BWAG for the range-window shape (h2o Q8) [datafusion-ballista] via GitHub
  • Re: [PR] feat: parallel BWAG for the range-window shape (h2o Q8) [datafusion-ballista] via GitHub
  • Re: [PR] feat: parallel BWAG for the range-window shape (h2o Q8) [datafusion-ballista] via GitHub
  • Re: [PR] feat: parallel BWAG for the range-window shape (h2o Q8) [datafusion-ballista] via GitHub
  • Re: [PR] feat: parallel BWAG for the range-window shape (h2o Q8) [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: [I] ANSI arithmetic overflow errors: wrong error class for Byte/Short, wrong type names, missing try_ suggestions [datafusion-comet] via GitHub
  • Re: [I] ANSI arithmetic overflow errors: wrong error class for Byte/Short, wrong type names, missing try_ suggestions [datafusion-comet] via GitHub
• Re: [I] negative: ANSI overflow check reads null slots and can raise spurious overflow errors [datafusion-comet] via GitHub
• Re: [PR] fix: apply struct field filters when the file schema needs adaptation [datafusion] via GitHub
  • Re: [PR] fix: apply struct field filters when the file schema needs adaptation [datafusion] via GitHub
  • Re: [PR] fix: apply struct field filters when the file schema needs adaptation [datafusion] via GitHub
  • Re: [PR] fix: apply struct field filters when the file schema needs adaptation [datafusion] via GitHub
  • Re: [PR] fix: apply struct field filters when the file schema needs adaptation [datafusion] via GitHub
  • Re: [PR] fix: apply struct field filters when the file schema needs adaptation [datafusion] via GitHub
  • Re: [PR] fix: apply struct field filters when the file schema needs adaptation [datafusion] via GitHub
  • Re: [PR] fix: apply struct field filters when the file schema needs adaptation [datafusion] via GitHub
  • Re: [PR] fix: apply struct field filters when the file schema needs adaptation [datafusion] via GitHub
  • Re: [PR] fix: apply struct field filters when the file schema needs adaptation [datafusion] via GitHub
• Re: [PR] Perf: Short circuit expensive comparissions in GroupColumn [datafusion] via GitHub
• Re: [PR] POC: Scan-scoped Parquet pruning setup cache with cached page pruning predicates [datafusion] via GitHub
  • Re: [PR] POC: Scan-scoped Parquet pruning setup cache with cached page pruning predicates [datafusion] via GitHub
  • Re: [PR] POC: Scan-scoped Parquet pruning setup cache with cached page pruning predicates [datafusion] via GitHub
• Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub

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