github  

Messages by Thread

• • Re: [PR] fix: preserve sorts for wrapping integer negation [datafusion] via GitHub
  • Re: [PR] fix: preserve sorts for wrapping integer negation [datafusion] via GitHub
  • Re: [PR] fix: preserve sorts for wrapping integer negation [datafusion] via GitHub
• [I] Support rolling upgrades without an outage window [datafusion-ballista] via GitHub
  • Re: [I] Support rolling upgrades without an outage window [datafusion-ballista] via GitHub
• Re: [I] Consolidate built-in statistics estimation in one place [datafusion] via GitHub
  • Re: [I] Consolidate built-in statistics estimation in one place [datafusion] via GitHub
  • Re: [I] Consolidate built-in statistics estimation in one place [datafusion] via GitHub
• [PR] feat: record why Spark scans a relation cached in Comet's format when Comet is off [datafusion-comet] via GitHub
  • Re: [PR] feat: record why Spark scans a relation cached in Comet's format when Comet is off [datafusion-comet] via GitHub
  • Re: [PR] feat: record why Spark scans a relation cached in Comet's format when Comet is off [datafusion-comet] via GitHub
• Re: [PR] feat: error when the client and scheduler have different major versions [datafusion-ballista] via GitHub
  • Re: [PR] feat: error when the client and scheduler have different major versions [datafusion-ballista] via GitHub
  • Re: [PR] feat: error when the client and scheduler have different major versions [datafusion-ballista] via GitHub
  • Re: [PR] feat: error when the client and scheduler have different major versions [datafusion-ballista] via GitHub
  • Re: [PR] feat: error when the client and scheduler have different major versions [datafusion-ballista] via GitHub
  • Re: [PR] feat: error when the client and scheduler have different major versions [datafusion-ballista] via GitHub
• Re: [I] Preserve primitive Iceberg pruning beside unsupported complex null conjuncts [datafusion-comet] via GitHub
• Re: [I] Q10 SF1000 regression after #2315: SortPreservingMergeExec exhausts fair memory pool under AQE default-on [datafusion-ballista] via GitHub
  • Re: [I] Q10 SF1000 regression after #2315: SortPreservingMergeExec exhausts fair memory pool under AQE default-on [datafusion-ballista] via GitHub
• Re: [I] Avoid single-task execution for null-aware anti joins (NOT IN subqueries) [datafusion-ballista] via GitHub
  • Re: [I] Avoid single-task execution for null-aware anti joins (NOT IN subqueries) [datafusion-ballista] via GitHub
• Re: [I] Native blocks without a JVM input publish SQL metrics on every batch, ignoring spark.comet.metrics.updateInterval [datafusion-comet] via GitHub
• Re: [I] Implement fast path for QueryStageExec when writing 1 shuffle partition [datafusion-ballista] via GitHub
  • Re: [I] Implement fast path for QueryStageExec when writing 1 shuffle partition [datafusion-ballista] via GitHub
• Re: [I] Implement hash partitioned aggregation in Ballista [datafusion-ballista] via GitHub
  • Re: [I] Implement hash partitioned aggregation in Ballista [datafusion-ballista] via GitHub
• Re: [I] The type of Timestamp(Nanosecond, None) >= Date32 of binary physical should be same [datafusion-ballista] via GitHub
  • Re: [I] The type of Timestamp(Nanosecond, None) >= Date32 of binary physical should be same [datafusion-ballista] via GitHub
• Re: [I] The type of Float64 >= Int64 of binary physical should be same [datafusion-ballista] via GitHub
  • Re: [I] The type of Float64 >= Int64 of binary physical should be same [datafusion-ballista] via GitHub
• Re: [I] Integration test script should test the Python bindings [datafusion-ballista] via GitHub
  • Re: [I] Integration test script should test the Python bindings [datafusion-ballista] via GitHub
• [PR] fix: plan and run repeated SUM(x + literal) on decimals and intervals [datafusion] via GitHub
  • Re: [PR] fix: plan and run repeated SUM(x + literal) on decimals and intervals [datafusion] via GitHub
• Re: [I] Move ballista-proto to separate module/crate [datafusion-ballista] via GitHub
  • Re: [I] Move ballista-proto to separate module/crate [datafusion-ballista] via GitHub
• Re: [I] Scheduler infinite loop after failed/canceled job [datafusion-ballista] via GitHub
  • Re: [I] Scheduler infinite loop after failed/canceled job [datafusion-ballista] via GitHub
• Re: [I] Add python crate to workspace [datafusion-ballista] via GitHub
  • Re: [I] Add python crate to workspace [datafusion-ballista] via GitHub
• Re: [I] Stop showing very verbose streaming errors [datafusion-ballista] via GitHub
  • Re: [I] Stop showing very verbose streaming errors [datafusion-ballista] via GitHub
• Re: [I] Implement memory management in shuffle writer [datafusion-ballista] via GitHub
  • Re: [I] Implement memory management in shuffle writer [datafusion-ballista] via GitHub
• Re: [I] Configuration guide should be generated from code [datafusion-ballista] via GitHub
  • Re: [I] Configuration guide should be generated from code [datafusion-ballista] via GitHub
• Re: [I] Ballista: Executor must return statistics in CompletedTask / CompletedJob [datafusion-ballista] via GitHub
  • Re: [I] Ballista: Executor must return statistics in CompletedTask / CompletedJob [datafusion-ballista] via GitHub
• Re: [I] Broadcast join promotion drops a sort order required by a parent SortMergeJoinExec, silently producing wrong results [datafusion-ballista] via GitHub
  • Re: [I] Broadcast join promotion drops a sort order required by a parent SortMergeJoinExec, silently producing wrong results [datafusion-ballista] via GitHub
• Re: [I] Enable benchmark data validation for distributed execution [datafusion-ballista] via GitHub
  • Re: [I] Enable benchmark data validation for distributed execution [datafusion-ballista] via GitHub
• Re: [I] Optimize shuffle before coalesce [datafusion-ballista] via GitHub
  • Re: [I] Optimize shuffle before coalesce [datafusion-ballista] via GitHub
• Re: [I] Provide integration with Grafana / Prometheus [datafusion-ballista] via GitHub
  • Re: [I] Provide integration with Grafana / Prometheus [datafusion-ballista] via GitHub
• Re: [I] [Python] Allow configuration options to be set when creating BallistaContext [datafusion-ballista] via GitHub
  • Re: [I] [Python] Allow configuration options to be set when creating BallistaContext [datafusion-ballista] via GitHub
• Re: [I] Add "Getting Started" docs to repo [datafusion-ballista] via GitHub
  • Re: [I] Add "Getting Started" docs to repo [datafusion-ballista] via GitHub
• Re: [PR] feat: enable Comet's in-memory cache by default [datafusion-comet] via GitHub
  • Re: [PR] feat: enable Comet's in-memory cache by default [datafusion-comet] via GitHub
  • Re: [PR] feat: enable Comet's in-memory cache by default [datafusion-comet] via GitHub
  • Re: [PR] feat: enable Comet's in-memory cache by default [datafusion-comet] via GitHub
  • Re: [PR] feat: enable Comet's in-memory cache by default [datafusion-comet] via GitHub
• Re: [I] Ballista: Fix hacks around concurrency=2 to force hash-partitioned joins [datafusion-ballista] via GitHub
  • Re: [I] Ballista: Fix hacks around concurrency=2 to force hash-partitioned joins [datafusion-ballista] via GitHub
• Re: [I] Ballista should serialize Parquet statistics [datafusion-ballista] via GitHub
  • Re: [I] Ballista should serialize Parquet statistics [datafusion-ballista] via GitHub
• Re: [I] Remove `datafusion.proto` and use the `datafusion-proto` api for logical plan serde [datafusion-ballista] via GitHub
  • Re: [I] Remove `datafusion.proto` and use the `datafusion-proto` api for logical plan serde [datafusion-ballista] via GitHub
• Re: [I] Improve new top-level README for this project [datafusion-ballista] via GitHub
  • Re: [I] Improve new top-level README for this project [datafusion-ballista] via GitHub
• [I] S3 credential SPI: follow-ups from #6478 (hostless Iceberg metadata locations, docs, tests) [datafusion-comet] via GitHub
• Re: [I] Account for partitions in local TopK statistics [datafusion] via GitHub
• Re: [I] date_trunc rejects scalar timestamps that array evaluation accepts [datafusion] via GitHub
• [PR] refactor: move shuffle planning into dedicated module [datafusion-comet] via GitHub
  • Re: [PR] refactor: move shuffle planning into dedicated module [datafusion-comet] via GitHub
• [PR] test: strengthen scalar UDF type recovery regression coverage [datafusion] via GitHub
  • Re: [PR] test: strengthen scalar UDF type recovery regression coverage [datafusion] via GitHub
  • Re: [PR] test: strengthen scalar UDF type recovery regression coverage [datafusion] via GitHub
  • Re: [PR] test: strengthen scalar UDF type recovery regression coverage [datafusion] via GitHub
  • Re: [PR] test: strengthen scalar UDF type recovery regression coverage [datafusion] via GitHub
  • Re: [PR] test: strengthen scalar UDF type recovery regression coverage [datafusion] via GitHub
• Re: [I] Distributed execution returns incorrect results for several TPC-DS queries (static planner) [datafusion-ballista] via GitHub
  • Re: [I] Distributed execution returns incorrect results for several TPC-DS queries (static planner) [datafusion-ballista] via GitHub
• Re: [I] Job hangs indefinitely instead of failing when all executors are lost [datafusion-ballista] via GitHub
  • Re: [I] Job hangs indefinitely instead of failing when all executors are lost [datafusion-ballista] via GitHub
• [PR] Align statistics cache sharing test comments with reset-free contract [datafusion] via GitHub
  • Re: [PR] Align statistics cache sharing test comments with reset-free contract [datafusion] via GitHub
  • Re: [PR] Align statistics cache sharing test comments with reset-free contract [datafusion] via GitHub
  • Re: [PR] Align statistics cache sharing test comments with reset-free contract [datafusion] via GitHub
• [PR] fix: keep decimal and temporal types in nvl and ifnull [datafusion] via GitHub
  • Re: [PR] fix: keep decimal and temporal types in nvl and ifnull [datafusion] via GitHub
• Re: [I] Implement FFI versions of runtime environment and execution properties [datafusion] via GitHub
  • Re: [I] Implement FFI versions of runtime environment and execution properties [datafusion] via GitHub
  • Re: [I] Implement FFI versions of runtime environment and execution properties [datafusion] via GitHub
• [PR] chore: Hide internal public utility APIs [datafusion] via GitHub
  • Re: [PR] chore: Hide internal public utility APIs [datafusion] via GitHub
  • Re: [PR] chore: Hide internal public utility APIs [datafusion] via GitHub
  • Re: [PR] chore: Hide internal public utility APIs [datafusion] via GitHub
  • Re: [PR] chore: Hide internal public utility APIs [datafusion] via GitHub
• Re: [PR] fix: use NDV for unresolved scalar subquery selectivity instead of 20% fallback [datafusion] via GitHub
  • Re: [PR] fix: use NDV for unresolved scalar subquery selectivity instead of 20% fallback [datafusion] via GitHub
  • Re: [PR] fix: use NDV for unresolved scalar subquery selectivity instead of 20% fallback [datafusion] via GitHub
  • Re: [PR] fix: use NDV for unresolved scalar subquery selectivity instead of 20% fallback [datafusion] via GitHub
  • Re: [PR] fix: use NDV for unresolved scalar subquery selectivity instead of 20% fallback [datafusion] via GitHub
  • Re: [PR] fix: use NDV for unresolved scalar subquery selectivity instead of 20% fallback [datafusion] via GitHub
  • Re: [PR] fix: use NDV for unresolved scalar subquery selectivity instead of 20% fallback [datafusion] via GitHub
  • Re: [PR] fix: use NDV for unresolved scalar subquery selectivity instead of 20% fallback [datafusion] via GitHub
  • Re: [PR] fix: use NDV for unresolved scalar subquery selectivity instead of 20% fallback [datafusion] via GitHub
  • Re: [PR] fix: use NDV for unresolved scalar subquery selectivity instead of 20% fallback [datafusion] via GitHub
  • Re: [PR] fix: use NDV for unresolved scalar subquery selectivity instead of 20% fallback [datafusion] via GitHub
  • Re: [PR] fix: use NDV for unresolved scalar subquery selectivity instead of 20% fallback [datafusion] via GitHub
• Re: [PR] fix: use session statistics registry in dfbench reports [datafusion] via GitHub
  • Re: [PR] fix: use session statistics registry in dfbench reports [datafusion] via GitHub
  • Re: [PR] fix: use session statistics registry in dfbench reports [datafusion] via GitHub
  • Re: [PR] fix: use session statistics registry in dfbench reports [datafusion] via GitHub
  • Re: [PR] fix: use session statistics registry in dfbench reports [datafusion] via GitHub
  • Re: [PR] fix: use session statistics registry in dfbench reports [datafusion] via GitHub
  • Re: [PR] fix: use session statistics registry in dfbench reports [datafusion] via GitHub
  • Re: [PR] fix: use session statistics registry in dfbench reports [datafusion] via GitHub
  • Re: [PR] fix: use session statistics registry in dfbench reports [datafusion] via GitHub
• Re: [PR] feat: add opt-in probe selection for partitioned inner hash joins [datafusion] via GitHub
  • Re: [PR] feat: add opt-in probe selection for partitioned inner hash joins [datafusion] via GitHub
• [PR] refactor: Implement optimizer hook for combining partial/final aggregate in `AggregateExec` [datafusion] via GitHub
  • Re: [PR] refactor: Implement optimizer hook for combining partial/final aggregate in `AggregateExec` [datafusion] via GitHub
• Re: [PR] Add ComposedNamedPhysicalExtensionCodec [datafusion] via GitHub
  • Re: [PR] Add ComposedNamedPhysicalExtensionCodec [datafusion] via GitHub
• Re: [PR] chore(release): release the Python client separately from the Rust crates [datafusion-ballista] via GitHub
• Re: [PR] fix: infer LIMIT and OFFSET parameter types [datafusion] via GitHub
  • Re: [PR] fix: infer LIMIT and OFFSET parameter types [datafusion] via GitHub
  • Re: [PR] fix: infer LIMIT and OFFSET parameter types [datafusion] via GitHub
  • Re: [PR] fix: infer LIMIT and OFFSET parameter types [datafusion] via GitHub
  • Re: [PR] fix: infer LIMIT and OFFSET parameter types [datafusion] via GitHub
  • Re: [PR] fix: infer LIMIT and OFFSET parameter types [datafusion] via GitHub
  • Re: [PR] fix: infer LIMIT and OFFSET parameter types [datafusion] via GitHub
  • Re: [PR] fix: infer LIMIT and OFFSET parameter types [datafusion] via GitHub
  • Re: [PR] fix: infer LIMIT and OFFSET parameter types [datafusion] via GitHub
  • Re: [PR] fix: infer LIMIT and OFFSET parameter types [datafusion] via GitHub
  • Re: [PR] fix: infer LIMIT and OFFSET parameter types [datafusion] via GitHub
• Re: [PR] Feat(parquet) : Introduce support for optionally writing Distinct Values to statistics [datafusion] via GitHub
  • Re: [PR] Feat(parquet) : Introduce support for optionally writing Distinct Values to statistics [datafusion] via GitHub
  • Re: [PR] Feat(parquet) : Introduce support for optionally writing Distinct Values to statistics [datafusion] via GitHub
  • Re: [PR] Feat(parquet) : Introduce support for optionally writing Distinct Values to statistics [datafusion] via GitHub
  • Re: [PR] Feat(parquet) : Introduce support for optionally writing Distinct Values to statistics [datafusion] via GitHub
  • Re: [PR] Feat(parquet) : Introduce support for optionally writing Distinct Values to statistics [datafusion] via GitHub
  • Re: [PR] Feat(parquet) : Introduce support for optionally writing Distinct Values to statistics [datafusion] via GitHub
  • Re: [PR] Feat(parquet) : Introduce support for optionally writing Distinct Values to statistics [datafusion] via GitHub
  • Re: [PR] Feat(parquet) : Introduce support for optionally writing Distinct Values to statistics [datafusion] via GitHub
• Re: [PR] perf: adapt generic hash join allocation to key cardinality [datafusion] via GitHub
• Re: [PR] chore: guard RangeExpr protobuf fields exhaustively [datafusion] via GitHub
  • Re: [PR] chore: guard RangeExpr protobuf fields exhaustively [datafusion] via GitHub
• Re: [PR] perf(date_trunc): significantly optimize date_trunc for fixed-offset timezones and coarse granularities binning [datafusion] via GitHub
• Re: [PR] feat: serialize LazyMemoryExec through generator hooks [datafusion] via GitHub
  • Re: [PR] feat: serialize LazyMemoryExec through generator hooks [datafusion] via GitHub
• [I] Lambda examples in the SQL function docs fail with the default dialect [datafusion] via GitHub
• Re: [I] Wrong results: `NOT IN (subquery)` ignores NULLs from a nullable outer expression over `NOT NULL` columns [datafusion] via GitHub
  • Re: [I] Wrong results: `NOT IN (subquery)` ignores NULLs from a nullable outer expression over `NOT NULL` columns [datafusion] via GitHub
  • Re: [I] Wrong results: `NOT IN (subquery)` ignores NULLs from a nullable outer expression over `NOT NULL` columns [datafusion] via GitHub
• Re: [PR] fix: Decide NOT IN null-aware joins from expression nullability, not just column nullability [datafusion] via GitHub
  • Re: [PR] fix: Decide NOT IN null-aware joins from expression nullability, not just column nullability [datafusion] via GitHub
• Re: [I] Wrong results: nullable constant `NOT IN (subquery)` returns every row when the subquery column is `NOT NULL` [datafusion] via GitHub
  • Re: [I] Wrong results: nullable constant `NOT IN (subquery)` returns every row when the subquery column is `NOT NULL` [datafusion] via GitHub
  • Re: [I] Wrong results: nullable constant `NOT IN (subquery)` returns every row when the subquery column is `NOT NULL` [datafusion] via GitHub
• [PR] refactor: move the remaining JNI-free entry point logic into core functions [datafusion-comet] via GitHub
  • Re: [PR] refactor: move the remaining JNI-free entry point logic into core functions [datafusion-comet] via GitHub
  • Re: [PR] refactor: move the remaining JNI-free entry point logic into core functions [datafusion-comet] via GitHub
  • Re: [PR] refactor: move the remaining JNI-free entry point logic into core functions [datafusion-comet] via GitHub
  • Re: [PR] refactor: move the remaining JNI-free entry point logic into core functions [datafusion-comet] via GitHub
  • Re: [PR] refactor: move the remaining JNI-free entry point logic into core functions [datafusion-comet] via GitHub
• Re: [I] NestedLoopJoinExec memory-limited fallback returns an empty result (wrong count = 0) instead of spilling or erroring [datafusion] via GitHub
• Re: [I] Native regr_* aggregates return wrong results for a constant variable merged from several partitions [datafusion-comet] via GitHub
• Re: [I] chore: Fix Scala code warnings [datafusion-comet] via GitHub
• [PR] Fix array_except type mismatch issue #3646 [datafusion-comet] via GitHub
  • Re: [PR] Fix array_except type mismatch issue #3646 [datafusion-comet] via GitHub
  • Re: [PR] Fix array_except type mismatch issue #3646 [datafusion-comet] via GitHub
  • Re: [PR] Fix array_except type mismatch issue #3646 [datafusion-comet] via GitHub
  • Re: [PR] Fix array_except type mismatch issue #3646 [datafusion-comet] via GitHub
  • Re: [PR] Fix array_except type mismatch issue #3646 [datafusion-comet] via GitHub
• [PR] perf: route final aggregate buckets by column [datafusion] via GitHub
  • Re: [PR] perf: route final aggregate buckets by column [datafusion] via GitHub
  • Re: [PR] perf: route final aggregate buckets by column [datafusion] via GitHub
  • Re: [PR] perf: route final aggregate buckets by column [datafusion] via GitHub
  • Re: [PR] perf: route final aggregate buckets by column [datafusion] via GitHub
  • Re: [PR] perf: route final aggregate buckets by column [datafusion] via GitHub
  • Re: [PR] perf: route final aggregate buckets by column [datafusion] via GitHub
  • Re: [PR] perf: route final aggregate buckets by column [datafusion] via GitHub
  • Re: [PR] perf: route final aggregate buckets by column [datafusion] via GitHub
  • Re: [PR] perf: route final aggregate buckets by column [datafusion] via GitHub
  • Re: [PR] perf: route final aggregate buckets by column [datafusion] via GitHub
  • Re: [PR] perf: route final aggregate buckets by column [datafusion] via GitHub
  • Re: [PR] perf: route final aggregate buckets by column [datafusion] via GitHub
  • Re: [PR] perf: route final aggregate buckets by column [datafusion] via GitHub
  • Re: [PR] perf: route final aggregate buckets by column [datafusion] via GitHub
  • Re: [PR] perf: route final aggregate buckets by column [datafusion] via GitHub
  • Re: [PR] perf: route final aggregate buckets by column [datafusion] via GitHub
  • Re: [PR] perf: route final aggregate buckets by column [datafusion] via GitHub
  • Re: [PR] perf: route final aggregate buckets by column [datafusion] via GitHub

• Earlier messages
• Later messages