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• • Re: [PR] perf: preserve dictionary encoding for `character_length`, `initcap`, and `reverse` [datafusion] via GitHub
  • Re: [PR] perf: preserve dictionary encoding for `character_length`, `initcap`, and `reverse` [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
• [PR] feat(core): rewrite NOT IN subqueries into distributable anti join plans [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): rewrite NOT IN subqueries into distributable anti join plans [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): rewrite NOT IN subqueries into distributable anti join plans [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): rewrite NOT IN subqueries into distributable anti join plans [datafusion-ballista] via GitHub
• Re: [I] percentile_cont(DISTINCT ...) panics on every query, and returns wrong results in sliding windows [datafusion] via GitHub
• Re: [I] [EPIC] Support Spark interval types (CalendarInterval / YearMonthInterval / DayTimeInterval) and interval expressions [datafusion-comet] via GitHub
  • Re: [I] [EPIC] Support Spark interval types (CalendarInterval / YearMonthInterval / DayTimeInterval) and interval expressions [datafusion-comet] via GitHub
• [I] [EPIC] Complete interval type support: scan, operator gates, and remaining interval expressions [datafusion-comet] via GitHub
• Re: [PR] fix: correct percentile_cont(DISTINCT) accumulation and sliding-window retract [datafusion] via GitHub
  • Re: [PR] fix: correct percentile_cont(DISTINCT) accumulation and sliding-window retract [datafusion] via GitHub
  • Re: [PR] fix: correct percentile_cont(DISTINCT) accumulation and sliding-window retract [datafusion] via GitHub
  • Re: [PR] fix: correct percentile_cont(DISTINCT) accumulation and sliding-window retract [datafusion] via GitHub
  • Re: [PR] fix: correct percentile_cont(DISTINCT) accumulation and sliding-window retract [datafusion] via GitHub
  • Re: [PR] fix: correct percentile_cont(DISTINCT) accumulation and sliding-window retract [datafusion] via GitHub
  • Re: [PR] fix: correct percentile_cont(DISTINCT) accumulation and sliding-window retract [datafusion] via GitHub
  • Re: [PR] fix: correct percentile_cont(DISTINCT) accumulation and sliding-window retract [datafusion] via GitHub
  • Re: [PR] fix: correct percentile_cont(DISTINCT) accumulation and sliding-window retract [datafusion] via GitHub
• [I] Avoid single-task execution for null-aware anti joins (NOT IN subqueries) [datafusion-ballista] via GitHub
• Re: [I] Null-aware anti joins can be swapped or repartitioned by scheduler planning [datafusion-ballista] via GitHub
• [I] Support reading ANSI interval columns (YearMonthIntervalType / DayTimeIntervalType) in the native Parquet scan [datafusion-comet] via GitHub
  • Re: [I] Support reading ANSI interval columns (YearMonthIntervalType / DayTimeIntervalType) in the native Parquet scan [datafusion-comet] via GitHub
• [I] Hashing a CalendarInterval value fails with "Unsupported data type in hasher: Interval(MonthDayNano)" [datafusion-comet] via GitHub
  • Re: [I] Hashing a CalendarInterval value fails with "Unsupported data type in hasher: Interval(MonthDayNano)" [datafusion-comet] via GitHub
  • Re: [I] Hashing a CalendarInterval value fails with "Unsupported data type in hasher: Interval(MonthDayNano)" [datafusion-comet] via GitHub
  • Re: [I] Hashing a CalendarInterval value fails with "Unsupported data type in hasher: Interval(MonthDayNano)" [datafusion-comet] via GitHub
• Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
• Re: [PR] Per-conjunct pruning statistics for PruningPredicate [datafusion] via GitHub
• Re: [PR] feat: UNNEST with ordinality and offset support [datafusion] via GitHub
• Re: [PR] feat: TopK stats init + cumulative RG pruning for pure-TopK parquet scans (no-WHERE) [datafusion] via GitHub
• Re: [PR] fix(optimizer): avoid planning-time regex compilation in regexp_like [datafusion] via GitHub
• Re: [PR] feat: add ExecutionPlan::benefits_from_output_partitioning [datafusion] via GitHub
• Re: [PR] feat: disable join dynamic filter pushdown by default [datafusion] via GitHub
• Re: [PR] Add Spark-compatible weekday function [datafusion] via GitHub
  • Re: [PR] Add Spark-compatible weekday function [datafusion] via GitHub
• Re: [PR] Add "Cannot cast string '2013-07-01' to value of UInt16 type" bug reproducer [datafusion] via GitHub
  • Re: [PR] Add "Cannot cast string '2013-07-01' to value of UInt16 type" bug reproducer [datafusion] via GitHub
• Re: [PR] feat: support timestampadd, timestampdiff and make_interval via codegen dispatch [datafusion-comet] via GitHub
  • Re: [PR] feat: support timestampadd, timestampdiff and make_interval via codegen dispatch [datafusion-comet] via GitHub
  • Re: [PR] feat: support timestampadd, timestampdiff and make_interval via codegen dispatch [datafusion-comet] via GitHub
  • Re: [PR] feat: support timestampadd, timestampdiff and make_interval via codegen dispatch [datafusion-comet] via GitHub
• Re: [I] Codegen dispatch for YearMonth and DayTimeInterval with shuffle and nested element [datafusion-comet] via GitHub
• [I] Null CalendarInterval literal throws native exception instead of evaluating to null [datafusion-comet] via GitHub
  • Re: [I] Null CalendarInterval literal throws native exception instead of evaluating to null [datafusion-comet] via GitHub
• Re: [PR] feat: support interval codegen dispatch for nested values and native shuffle [datafusion-comet] via GitHub
  • Re: [PR] feat: support interval codegen dispatch for nested values and native shuffle [datafusion-comet] via GitHub
• [PR] chore(deps): bump quinn-proto from 0.11.14 to 0.11.16 [datafusion-sandbox] via GitHub
• [PR] build(deps): bump quinn-proto from 0.11.14 to 0.11.16 [datafusion-python] via GitHub
• Re: [PR] perf: remove per-row String allocations from the Spark url functions [datafusion] via GitHub
  • Re: [PR] perf: remove per-row String allocations from the Spark url functions [datafusion] via GitHub
• Re: [PR] refactor: move arrow integer hex dispatch to datafusion-common [datafusion] via GitHub
  • Re: [PR] refactor: move arrow integer hex dispatch to datafusion-common [datafusion] via GitHub
  • Re: [PR] refactor: move arrow integer hex dispatch to datafusion-common [datafusion] via GitHub
  • Re: [PR] refactor: move arrow integer hex dispatch to datafusion-common [datafusion] via GitHub
  • Re: [PR] refactor: move arrow integer hex dispatch to datafusion-common [datafusion] via GitHub
• Re: [PR] ci: run TPC-DS with AQE on/off at 1 and 16 partitions [datafusion-ballista] via GitHub
• [PR] ci: run TPC-DS SF1 at 1 and 16 partitions under the static planner [datafusion-ballista] via GitHub
  • Re: [PR] ci: run TPC-DS SF1 with 1 and 4 partitions per task [datafusion-ballista] via GitHub
• Re: [I] store partitioning in dynamic filters and remove CASE hash(expr) [datafusion] via GitHub
  • Re: [I] store partitioning in dynamic filters and remove CASE hash(expr) [datafusion] via GitHub
• Re: [I] Windows RANGE frame crashes on overflows [datafusion] via GitHub
• Re: [I] Support ANSI mode for `negate` function [datafusion] via GitHub
• [I] [EPIC] Support ANSI mode [datafusion] via GitHub
  • Re: [I] [EPIC] Support ANSI mode [datafusion] via GitHub
  • Re: [I] [EPIC] Support ANSI mode [datafusion] via GitHub
  • Re: [I] [EPIC] Support ANSI mode [datafusion] via GitHub
  • Re: [I] [EPIC] Support ANSI mode [datafusion] via GitHub
  • Re: [I] [EPIC] Support ANSI mode [datafusion] via GitHub
  • Re: [I] [EPIC] Support ANSI mode [datafusion] via GitHub
• [PR] feat: support `ansi` for `elt` [datafusion] via GitHub
  • Re: [PR] feat: support `ansi` for `elt` [datafusion] via GitHub
  • Re: [PR] feat: support `ansi` for `elt` [datafusion] via GitHub
  • Re: [PR] feat: support `ansi` for `elt` [datafusion] via GitHub
  • Re: [PR] feat: support `ansi` for `elt` [datafusion] via GitHub
• Re: [PR] fix(scheduler): execute null-aware anti joins in one task [datafusion-ballista] via GitHub
  • Re: [PR] fix(scheduler): execute null-aware anti joins in one task [datafusion-ballista] via GitHub
  • Re: [PR] fix(scheduler): execute null-aware anti joins in one task [datafusion-ballista] via GitHub
  • Re: [PR] fix(scheduler): execute null-aware anti joins in one task [datafusion-ballista] via GitHub
• Re: [I] cache dictionary arc ptr in groupColumn [datafusion] via GitHub
  • Re: [I] cache dictionary arc ptr in groupColumn [datafusion] via GitHub
  • Re: [I] cache dictionary arc ptr in groupColumn [datafusion] via GitHub
• Re: [I] Centralize higher-order list lambda evaluation helpers [datafusion] via GitHub
  • Re: [I] Centralize higher-order list lambda evaluation helpers [datafusion] via GitHub
• Re: [PR] feat: centralizing higher-order list lambda evaluation helpers [datafusion] via GitHub
  • Re: [PR] feat: centralizing higher-order list lambda evaluation helpers [datafusion] via GitHub
• Re: [I] Sliding window `min()` returns stale value when all non-`NULL` values leave the frame [datafusion] via GitHub
• Re: [PR] feat: build gate + inert wiring for contrib Delta scans [Delta contrib split, part 2] [datafusion-comet] via GitHub
  • Re: [PR] feat: build gate + inert wiring for contrib Delta scans [Delta contrib split, part 2] [datafusion-comet] via GitHub
  • Re: [PR] feat: build gate + inert wiring for contrib Delta scans [Delta contrib split, part 2] [datafusion-comet] via GitHub
  • Re: [PR] feat: build gate + inert wiring for contrib Delta scans [Delta contrib split, part 2] [datafusion-comet] via GitHub
• Re: [I] make dynamic filters in `ExecutionPlan` nodes discoverable [datafusion] via GitHub
  • Re: [I] make dynamic filters in `ExecutionPlan` nodes discoverable [datafusion] via GitHub
  • Re: [I] make dynamic filters in `ExecutionPlan` nodes discoverable [datafusion] via GitHub
• Re: [PR] bench: use seedable rng for reproducibility [datafusion] via GitHub
  • Re: [PR] bench: use seedable rng for reproducibility [datafusion] via GitHub
  • Re: [PR] bench: use seedable rng for reproducibility [datafusion] via GitHub
• Re: [PR] docs: expand tuning guide with performance and memory configs [datafusion-comet] via GitHub
  • Re: [PR] docs: expand tuning guide with performance and memory configs [datafusion-comet] via GitHub
  • Re: [PR] docs: expand tuning guide with performance and memory configs [datafusion-comet] via GitHub
• Re: [PR] perf: remove per-row String allocation from Spark soundex and quote [datafusion] via GitHub
  • Re: [PR] perf: remove per-row String allocation from Spark soundex and quote [datafusion] via GitHub
• Re: [PR] fix: materialize ConstantColumnVector on Comet's serialize/export paths [datafusion-comet] via GitHub
  • Re: [PR] fix: materialize ConstantColumnVector on Comet's serialize/export paths [datafusion-comet] via GitHub
  • Re: [PR] fix: materialize ConstantColumnVector on Comet's serialize/export paths [datafusion-comet] via GitHub
• [I] Support Substrait ExtensionTable reads [datafusion] via GitHub
  • Re: [I] Support Substrait ExtensionTable reads [datafusion] via GitHub
  • Re: [I] Support Substrait ExtensionTable reads [datafusion] via GitHub
• Re: [PR] perf: bulk-append contiguous buffered runs in sort merge join [datafusion] via GitHub
• Re: [PR] fix: sliding window `min()` returns wrong value for all-NULL windows [datafusion] via GitHub
  • Re: [PR] fix: sliding window `min()` returns wrong value for all-NULL windows [datafusion] via GitHub
• Re: [PR] feat: support ASOF joins [datafusion] via GitHub
  • Re: [PR] feat: support ASOF joins [datafusion] via GitHub
  • Re: [PR] feat: support ASOF joins [datafusion] via GitHub
  • Re: [PR] feat: support ASOF joins [datafusion] via GitHub
  • Re: [PR] feat: support ASOF joins [datafusion] via GitHub
  • Re: [PR] feat: support ASOF joins [datafusion] via GitHub
  • Re: [PR] feat: support ASOF joins [datafusion] via GitHub
• Re: [PR] chore: use taplo for Cargo.toml formatting [datafusion-ballista] via GitHub
  • Re: [PR] chore: use taplo for Cargo.toml formatting [datafusion-ballista] via GitHub
  • Re: [PR] chore: use taplo for Cargo.toml formatting [datafusion-ballista] via GitHub
  • Re: [PR] chore: use taplo for Cargo.toml formatting [datafusion-ballista] via GitHub
  • Re: [PR] chore: use taplo for Cargo.toml formatting [datafusion-ballista] via GitHub
• Re: [PR] perf: reuse zstd context and pre-encode IPC schema in shuffle blocks [experimental] [datafusion-comet] via GitHub
• Re: [PR] perf: optimize to_csv_inner in datafusion-comet-spark-expr [datafusion-comet] via GitHub
• Re: [PR] perf: optimize next_day in datafusion-comet-spark-expr [datafusion-comet] via GitHub
• Re: [PR] perf: optimize spark_regexp_extract_all in datafusion-comet-spark-expr [datafusion-comet] via GitHub
• Re: [PR] perf: optimize arrays_zip_inner in datafusion-comet-spark-expr [datafusion-comet] via GitHub
• Re: [PR] perf: optimize might_contain_longs in datafusion-comet-spark-expr [datafusion-comet] via GitHub
• Re: [PR] perf: optimize spark_log in datafusion-comet-spark-expr [datafusion-comet] via GitHub
• Re: [PR] docs: add upgrade-datafusion skill [WIP] [datafusion-comet] via GitHub
• Re: [PR] feat: add Comet CachedBatchSerializer for native in-memory cache [datafusion-comet] via GitHub
• Re: [PR] feat: [EXPERIMENT] Spike: convert next_day from chrono to jiff [datafusion-comet] via GitHub
• Re: [I] Incorrect result returned by a group by query (SQLancer-TLP) [datafusion] via GitHub
• Re: [I] Call for Presentations: Community Showcase: Regular series for sharing what you're building with DataFusion [datafusion] via GitHub
  • Re: [I] Call for Presentations: Community Showcase: Regular series for sharing what you're building with DataFusion [datafusion] via GitHub
• [PR] feat(scheduler): range-repartition rule primitives (batteries-included) [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): range-repartition rule primitives (batteries-included) [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): range-repartition rule primitives (batteries-included) [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): range-repartition rule primitives (batteries-included) [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): range-repartition rule primitives (batteries-included) [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): range-repartition rule primitives (batteries-included) [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): range-repartition rule primitives (batteries-included) [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): range-repartition rule primitives (batteries-included) [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): range-repartition rule primitives (batteries-included) [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): range-repartition rule primitives (batteries-included) [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): range-repartition rule primitives (batteries-included) [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): range-repartition rule primitives (batteries-included) [datafusion-ballista] via GitHub
• [PR] Support numeric underscore separators for DuckDB and SQLite [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Support numeric underscore separators for DuckDB and SQLite [datafusion-sqlparser-rs] via GitHub
• [I] ObjectStoreRegistry key strips URL userinfo, causing ABFS containers on the same account to collide [datafusion] via GitHub
  • Re: [I] ObjectStoreRegistry key strips URL userinfo, causing ABFS containers on the same account to collide [datafusion] via GitHub
  • Re: [I] ObjectStoreRegistry key strips URL userinfo, causing ABFS containers on the same account to collide [datafusion] via GitHub
• [PR] docs: avoid "not a blocker" comments in reviews for review skill [datafusion-comet] via GitHub
  • Re: [PR] docs: avoid "not a blocker" comments in reviews for review skill [datafusion-comet] via GitHub
• [PR] docs: define post-1.0 versioning policy and legacy config process [datafusion-comet] via GitHub
  • Re: [PR] docs: define post-1.0 versioning policy and legacy config process [WIP] [datafusion-comet] via GitHub
  • Re: [PR] docs: define post-1.0 versioning policy and legacy config process [WIP] [datafusion-comet] via GitHub
  • Re: [PR] docs: define post-1.0 versioning policy and legacy config process [datafusion-comet] via GitHub
  • Re: [PR] docs: define post-1.0 versioning policy and legacy config process [datafusion-comet] via GitHub
• Re: [PR] feat: native uuid() implementation compatible with Spark [datafusion-comet] via GitHub
  • Re: [PR] feat: native uuid() implementation compatible with Spark [datafusion-comet] via GitHub
  • Re: [PR] feat: native uuid() implementation compatible with Spark [datafusion-comet] via GitHub
  • Re: [PR] feat: native uuid() implementation compatible with Spark [datafusion-comet] via GitHub
  • Re: [PR] feat: native uuid() implementation compatible with Spark [datafusion-comet] via GitHub
• Re: [PR] feat: Enable expressions as default value in lead/lag function [datafusion] via GitHub
  • Re: [PR] feat: Enable expressions as default value in lead/lag function [datafusion] via GitHub
  • Re: [PR] feat: Enable expressions as default value in lead/lag function [datafusion] via GitHub
  • Re: [PR] feat: Enable expressions as default value in lead/lag function [datafusion] via GitHub
  • Re: [PR] feat: Enable expressions as default value in lead/lag function [datafusion] via GitHub
• [PR] test: docs and test-coverage hardening for native collect_list / collect_set [datafusion-comet] via GitHub
• [PR] Preserve the timezone in the schema when resolving output timezone [datafusion] via GitHub
  • Re: [PR] fix: preserve the timezone in the schema when resolving output timezone [datafusion] via GitHub
  • Re: [PR] fix: preserve the timezone in the schema when resolving output timezone [datafusion] via GitHub
• Re: [PR] chore: Use native impl of elt function [datafusion-comet] via GitHub
  • Re: [PR] chore: Use native impl of elt function [datafusion-comet] via GitHub
  • Re: [PR] chore: Use native impl of elt function [datafusion-comet] via GitHub
  • Re: [PR] chore: Use native impl of elt function [datafusion-comet] via GitHub
• Re: [I] Distributed execution returns inflated results and crashes on UNION queries at target_partitions=1 [datafusion-ballista] via GitHub
• Re: [PR] feat: add native make_interval support [datafusion-comet] via GitHub
  • Re: [PR] feat: add native make_interval support [datafusion-comet] via GitHub
  • Re: [PR] feat: add native make_interval support [datafusion-comet] via GitHub
  • Re: [PR] feat: add native make_interval support [datafusion-comet] via GitHub
  • Re: [PR] feat: add native make_interval support [datafusion-comet] via GitHub
  • Re: [PR] feat: add native make_interval support [datafusion-comet] via GitHub
  • Re: [PR] feat: add native make_interval support [datafusion-comet] via GitHub
  • Re: [PR] feat: add native make_interval support [datafusion-comet] via GitHub
• Re: [PR] fix: stop every task running every union branch at low partition counts [datafusion-ballista] via GitHub
  • Re: [PR] fix: stop every task running every union branch at low partition counts [datafusion-ballista] via GitHub
• [I] support iceberg metadata columns _file, _pos, _spec, and _partition [datafusion-comet] via GitHub
  • Re: [I] support iceberg metadata columns _file, _pos, _spec, and _partition [datafusion-comet] via GitHub
• Re: [PR] docs: add blog posts and talks page [datafusion-comet] via GitHub
• Re: [PR] feat: support max_by and min_by aggregate expressions [datafusion-comet] via GitHub
  • Re: [PR] feat: support max_by and min_by aggregate expressions [datafusion-comet] via GitHub
  • Re: [PR] feat: support max_by and min_by aggregate expressions [datafusion-comet] via GitHub
• Re: [PR] feat: support kurtosis aggregate [datafusion-comet] via GitHub
• Re: [PR] perf(functions-aggregate): optimize sliding window MIN/MAX using monotonic deques (#23826) [datafusion] via GitHub
• Re: [I] Optimize sliding window MIN/MAX aggregations using monotonic deques [datafusion] via GitHub

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