github  

Messages by Thread

• [PR] chore(deps): bump taiki-e/install-action from 2.88.1 to 2.90.2 in /.github/actions/setup-docs-builder [datafusion] dependabot[bot] (via GitHub) via github
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.88.1 to 2.90.2 in /.github/actions/setup-docs-builder [datafusion] comphead (via GitHub) via github
• [PR] chore(deps): bump taiki-e/install-action from 2.88.1 to 2.90.2 [datafusion] dependabot[bot] (via GitHub) via github
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.88.1 to 2.90.2 [datafusion] comphead (via GitHub) via github
• [PR] chore(deps): bump the all-other-cargo-deps group with 4 updates [datafusion] dependabot[bot] (via GitHub) via github
• [PR] fix: return error on offset overflow in ScalarValue::to_array_of_size [datafusion] ETS2K7 (via GitHub) via github
• Re: [PR] refactor: move EnforceDistribution per-child flags into ChildPolicy [datafusion] Aaryan-Dadu (via GitHub) via github
• [PR] fix(parquet): validate float bounds using NaN counts [datafusion] rank-p (via GitHub) via github
• [PR] fix: pass the session's batch_size to the Iceberg table scan [datafusion-iceberg] nikkhiil-hadoop (via GitHub) via github
  • Re: [PR] fix: pass the session's batch_size to the Iceberg table scan [datafusion-iceberg] gabotechs (via GitHub) via github
• [PR] fix: Spark xxhash64 ignores NaN sign/payload, including list elements [datafusion] sohailshk (via GitHub) via github
• Re: [I] Spark `xxhash64` hashes the raw bits of a NaN instead of the canonical NaN [datafusion] sohailshk (via GitHub) via github
• Re: [I] Offset overflow - Native columnar-to-row conversion wraps row offsets past 2 GiB [datafusion-comet] andygrove (via GitHub) via github
• Re: [I] Native columnar-to-row conversion is much slower than the JVM implementation for small batches [datafusion-comet] andygrove (via GitHub) via github
• Re: [I] Offset overflow - Codegen dispatcher writes each batch's output into one Arrow vector [datafusion-comet] tlfua (via GitHub) via github
• [PR] fix: evaluate a NULL-guarded argument for every row when only shared parts of it can fail [datafusion-comet] dwsmith1983 (via GitHub) via github
• [PR] fix: keep a literal out of scan equivalence classes for complex_expr = literal filters [datafusion] cetra3 (via GitHub) via github
• [PR] fix: let a NULL-guarded argument skip a shared subexpression that cannot fail [datafusion-comet] dwsmith1983 (via GitHub) via github
• Re: [PR] fix: keep Iceberg residual pushdown within Spark semantics [datafusion-comet] rich7420 (via GitHub) via github
  • Re: [PR] fix: keep Iceberg residual pushdown within Spark semantics [datafusion-comet] rich7420 (via GitHub) via github
  • Re: [PR] fix: keep Iceberg residual pushdown within Spark semantics [datafusion-comet] andygrove (via GitHub) via github
• [I] Restore native row-group pruning for FLOAT and DOUBLE range filters in Iceberg scans [datafusion-comet] rich7420 (via GitHub) via github
• [I] REGRESSION: SanityCheckPlan error for GROUP BY ... HAVING on a CASE key with parquet filter pushdown [datafusion] cetra3 (via GitHub) via github
• [PR] fix: return 1 from regr_r2 for a horizontal line, not NULL [datafusion] MaxFreedomPollard (via GitHub) via github
• Re: [PR] fix: reject multiple UPDATE assignments to the same column [datafusion] vshalpnjabi (via GitHub) via github
• Re: [I] Native approx_top_k functions: audit the frequent-items sketch against Java and implement [datafusion-comet] coderfender (via GitHub) via github
• [PR] fix: reuse evaluated hash join build keys [datafusion] Phoenix500526 (via GitHub) via github
  • Re: [PR] fix: reuse evaluated hash join build keys [datafusion] Phoenix500526 (via GitHub) via github
  • Re: [PR] fix: reuse evaluated hash join build keys [datafusion] dwsmith1983 (via GitHub) via github
  • Re: [PR] fix: reuse evaluated hash join build keys [datafusion] dwsmith1983 (via GitHub) via github
  • Re: [PR] fix: reuse evaluated hash join build keys [datafusion] Phoenix500526 (via GitHub) via github
• [I] LEAD/LAG with offset 0 and IGNORE NULLS returns the default for a NULL row, unlike the form without IGNORE NULLS [datafusion] Sunninsky (via GitHub) via github
  • Re: [I] LEAD/LAG with offset 0 and IGNORE NULLS returns the default for a NULL row, unlike the form without IGNORE NULLS [datafusion] 0xamlab (via GitHub) via github
• [I] Speculate string functions such as upper in NullShortCircuit by adding them to is_cheap [datafusion-comet] tlfua (via GitHub) via github
• [PR] chore(deps): bump uuid from 1.29.0 to 1.29.1 in /python [datafusion-ballista] dependabot[bot] (via GitHub) via github
  • Re: [PR] chore(deps): bump uuid from 1.29.0 to 1.29.1 in /python [datafusion-ballista] milenkovicm (via GitHub) via github
• [PR] chore(deps): bump uuid from 1.29.0 to 1.29.1 [datafusion-ballista] dependabot[bot] (via GitHub) via github
  • Re: [PR] chore(deps): bump uuid from 1.29.0 to 1.29.1 [datafusion-ballista] milenkovicm (via GitHub) via github
• Re: [PR] feat: let custom ExecutionPlan nodes restrict themselves to a task's partitions [datafusion-ballista] NoahKusaba (via GitHub) via github
  • Re: [PR] feat: let custom ExecutionPlan nodes restrict themselves to a task's partitions [datafusion-ballista] NoahKusaba (via GitHub) via github
  • Re: [PR] feat: let custom ExecutionPlan nodes restrict themselves to a task's partitions [datafusion-ballista] NoahKusaba (via GitHub) via github
  • Re: [PR] feat: let custom ExecutionPlan nodes restrict themselves to a task's partitions [datafusion-ballista] NoahKusaba (via GitHub) via github
  • Re: [PR] feat: let custom ExecutionPlan nodes restrict themselves to a task's partitions [datafusion-ballista] NoahKusaba (via GitHub) via github
  • Re: [PR] feat: let custom ExecutionPlan nodes restrict themselves to a task's partitions [datafusion-ballista] andygrove (via GitHub) via github
  • Re: [PR] feat: let custom ExecutionPlan nodes restrict themselves to a task's partitions [datafusion-ballista] andygrove (via GitHub) via github
  • Re: [PR] feat: let custom ExecutionPlan nodes restrict themselves to a task's partitions [datafusion-ballista] avantgardnerio (via GitHub) via github
  • Re: [PR] feat: let custom ExecutionPlan nodes restrict themselves to a task's partitions [datafusion-ballista] andygrove (via GitHub) via github
  • Re: [PR] feat: let custom ExecutionPlan nodes restrict themselves to a task's partitions [datafusion-ballista] andygrove (via GitHub) via github
  • Re: [PR] feat: let custom ExecutionPlan nodes restrict themselves to a task's partitions [datafusion-ballista] andygrove (via GitHub) via github
• Re: [I] Plain `SELECT` of a Parquet float column returns wrong values: NaN rows are replaced by the statistics constant when min == max [datafusion] compiler-segfault (via GitHub) via github
• [PR] fix: do not treat floating point columns with equal min/max statistics as constant [datafusion] compiler-segfault (via GitHub) via github
• [I] TPC-H Q02: DataFusion vs Polars comparison [datafusion] comphead (via GitHub) via github
• [PR] feat: allow `CaseExpr` to reuse its first required operand as ELSE [datafusion] Weijun-H (via GitHub) via github
  • Re: [PR] feat: allow `CaseExpr` to reuse its first required operand as ELSE [datafusion] Copilot (via GitHub) via github
  • Re: [PR] feat: allow `CaseExpr` to reuse its first required operand as ELSE [datafusion] Weijun-H (via GitHub) via github
• [I] Let physical-plan producers reuse a CASE's first-WHEN operand as its ELSE value [datafusion] Weijun-H (via GitHub) via github
• [I] TPC-H Q01: DataFusion vs Polars comparison [datafusion] comphead (via GitHub) via github
• [PR] fix: send a skipped shared subexpression to Spark where Spark's sharing depends on the plan [datafusion-comet] dwsmith1983 (via GitHub) via github
• Re: [I] Broadcast/hash join fallback reasons are lost from the AQE-final plan [datafusion-comet] dwsmith1983 (via GitHub) via github
• Re: [PR] chore(deps-dev): bump baseline-browser-mapping from 2.9.19 to 2.11.21 in /datafusion/wasmtest/datafusion-wasm-app [datafusion-sandbox] github-actions[bot] (via GitHub) via github
• Re: [PR] fix: preserve fetched merges during requirement enforcement [datafusion] github-actions[bot] (via GitHub) via github
• Re: [PR] feat: add opt-in strict predicate short-circuit evaluation [datafusion] github-actions[bot] (via GitHub) via github
• Re: [PR] feat: support floating-point ASOF equality keys [datafusion] github-actions[bot] (via GitHub) via github
• Re: [PR] feat: Prune ListingTable file groups for range-key filters [datafusion] github-actions[bot] (via GitHub) via github
  • Re: [PR] feat: Prune ListingTable file groups for range-key filters [datafusion] goutamadwant (via GitHub) via github
• Re: [PR] Datasource: Add file_metadata() to DataSink for per-file write metadata [datafusion] github-actions[bot] (via GitHub) via github
• Re: [PR] dev: add local CodeQL analysis for GitHub Actions [datafusion] github-actions[bot] (via GitHub) via github
• Re: [PR] benchmarks: count simulated object store GET requests per query [datafusion] github-actions[bot] (via GitHub) via github
• Re: [PR] fix: align Spark collect aggregate element nullability [datafusion] github-actions[bot] (via GitHub) via github
  • Re: [PR] fix: align Spark collect aggregate element nullability [datafusion] goutamadwant (via GitHub) via github
• Re: [PR] refactor: Rewrite Hash Join's regular (inner/left/right/full) join path [datafusion] github-actions[bot] (via GitHub) via github
  • Re: [PR] refactor: Rewrite Hash Join's regular (inner/left/right/full) join path [datafusion] mbutrovich (via GitHub) via github
• Re: [PR] feat(physical-plan): Make `HashTableLookupExpr` serializable [datafusion] github-actions[bot] (via GitHub) via github
  • Re: [PR] feat(physical-plan): Make `HashTableLookupExpr` serializable [datafusion] barbarj (via GitHub) via github
  • Re: [PR] feat(physical-plan): Make `HashTableLookupExpr` serializable [datafusion] barbarj (via GitHub) via github
• Re: [PR] Aggregate byte types internally with i64 offsets [datafusion] github-actions[bot] (via GitHub) via github
• Re: [PR] Prototype: physical filter API (PhysicalFilter / FilterConjunct) with optional conjuncts [datafusion] github-actions[bot] (via GitHub) via github
• Re: [PR] feat: add native GroupsAccumulator for any_value [datafusion] github-actions[bot] (via GitHub) via github
• Re: [I] Native string-to-timestamp cast rejects zone suffixes Spark accepts (PST, CET, Zulu, Etc/GMT+8, +08:00:00, no space) [datafusion-comet] andygrove (via GitHub) via github
• Re: [PR] fix: resolve SHORT_IDS and region zone suffixes in native string-to-timestamp cast [datafusion-comet] andygrove (via GitHub) via github
• [PR] Hive: Replace `dialect_of!` checks in `CREATE TABLE` and `INSERT` with dialect methods [datafusion-sqlparser-rs] andygrove (via GitHub) via github
  • Re: [PR] Hive: Replace `dialect_of!` checks in `CREATE TABLE` and `INSERT` with dialect methods [datafusion-sqlparser-rs] codecov-commenter (via GitHub) via github
• [PR] Add dialect hooks for `CREATE FUNCTION` and `USE` [datafusion-sqlparser-rs] andygrove (via GitHub) via github
  • Re: [PR] Add dialect hooks for `CREATE FUNCTION` and `USE` [datafusion-sqlparser-rs] codecov-commenter (via GitHub) via github
• Re: [PR] fix: plan a range RepartitionExec as a shuffle stage instead of dropping it [datafusion-ballista] andygrove (via GitHub) via github
  • Re: [PR] fix: plan a range RepartitionExec as a shuffle stage instead of dropping it [datafusion-ballista] andygrove (via GitHub) via github
• [I] Consolidate the Scala "cannot fail" checks: arrays.cannotThrow and QueryPlanSerde.cannotFail [datafusion-comet] tlfua (via GitHub) via github
• Re: [I] Performance regression when a stage of WholeStageCodegen-fusible operators runs as separate native Comet operators [datafusion-comet] comphead (via GitHub) via github
• [PR] perf: filter sort-merge inner join pairs before materializing them [datafusion] comphead (via GitHub) via github
  • Re: [PR] perf: filter sort-merge inner join pairs before materializing them [datafusion] andygrove (via GitHub) via github
  • Re: [PR] perf: filter sort-merge inner join pairs before materializing them [datafusion] vinycalves (via GitHub) via github
  • Re: [PR] perf: filter sort-merge inner join pairs before materializing them [datafusion] mbutrovich (via GitHub) via github
  • Re: [PR] perf: filter sort-merge inner join pairs before materializing them [datafusion] mbutrovich (via GitHub) via github
  • Re: [PR] perf: filter sort-merge inner join pairs before materializing them [datafusion] sunchao (via GitHub) via github
  • Re: [PR] perf: filter sort-merge inner join pairs before materializing them [datafusion] viirya (via GitHub) via github
• [PR] PostgreSQL: Parse subscript expressions in slice bounds [datafusion-sqlparser-rs] bendu (via GitHub) via github
• [PR] fix: report input and SQL metrics while a native shuffle write runs [datafusion-comet] comphead (via GitHub) via github
• [I] lpad/rpad do not use withNullShortCircuit, so ANSI errors are raised on rows Spark skips [datafusion-comet] tlfua (via GitHub) via github
• [I] A native scan feeding a native shuffle write reports no metrics until the task ends [datafusion-comet] comphead (via GitHub) via github
• [PR] fix(python): use a non-default codec in the shuffle compression setter test [datafusion-ballista] andygrove (via GitHub) via github
  • Re: [PR] fix(python): use a non-default codec in the shuffle compression setter test [datafusion-ballista] andygrove (via GitHub) via github
• Re: [I] `ExecutorMetatada` too verbose [datafusion-ballista] andygrove (via GitHub) via github
• [I] Native string to decimal cast fails on a string with more than 38 digits: NULL or `CAST_INVALID_INPUT` where Spark returns a value [datafusion-comet] snmvaughan (via GitHub) via github
• [I] `ScalarValue::to_array_of_size` panics when a `Utf8` or `Binary` scalar repeated `size` times passes `i32::MAX` bytes [datafusion] mbutrovich (via GitHub) via github
• [I] `split_part` with position 0 errors on a NULL string only when the position is a literal [datafusion] mbutrovich (via GitHub) via github
  • Re: [I] `split_part` with position 0 errors on a NULL string only when the position is a literal [datafusion] sohailshk (via GitHub) via github
• Re: [PR] feat: native Parquet writes to S3 [datafusion-comet] comphead (via GitHub) via github
• Re: [PR] chore: run CI on contributor forks [datafusion-comet] comphead (via GitHub) via github
• [PR] fix: leave wide integer truncate to Spark [datafusion-comet] ErikBPF (via GitHub) via github
• [PR] Support `TABLESAMPLE RESERVOIR` [datafusion-sqlparser-rs] abdolence (via GitHub) via github
• [PR] Reduce allocations when parsing identifier expressions [datafusion-sqlparser-rs] andygrove (via GitHub) via github
  • Re: [PR] Reduce allocations when parsing identifier expressions [datafusion-sqlparser-rs] codecov-commenter (via GitHub) via github
• [PR] fix: accept second-precision zone offsets in native timestamp casts [datafusion-comet] ErikBPF (via GitHub) via github
  • Re: [PR] fix: accept second-precision zone offsets in native timestamp casts [datafusion-comet] comphead (via GitHub) via github
• [PR] fix: validate column-specific parquet encoding [datafusion] vinycalves (via GitHub) via github
• Re: [I] Iceberg `truncate` on integers with widths above 2^30: native kernel and native writer compute different partition values [datafusion-comet] erikbogado-nstech (via GitHub) via github
  • Re: [I] Iceberg `truncate` on integers with widths above 2^30: native kernel and native writer compute different partition values [datafusion-comet] ErikBPF (via GitHub) via github
• Re: [I] Move the version checks for Spark patch-release fixes into SparkFixes [datafusion-comet] snmvaughan (via GitHub) via github
• [PR] fix: raise NUMERIC_OUT_OF_SUPPORTED_RANGE for a string with more than 38 integral digits cast to decimal [datafusion-comet] snmvaughan (via GitHub) via github
  • Re: [PR] fix: raise NUMERIC_OUT_OF_SUPPORTED_RANGE for a string with more than 38 integral digits cast to decimal [datafusion-comet] snmvaughan (via GitHub) via github
  • Re: [PR] fix: raise NUMERIC_OUT_OF_SUPPORTED_RANGE for a string with more than 38 integral digits cast to decimal [datafusion-comet] andygrove (via GitHub) via github
  • Re: [PR] fix: raise NUMERIC_OUT_OF_SUPPORTED_RANGE for a string with more than 38 integral digits cast to decimal [datafusion-comet] comphead (via GitHub) via github
• [PR] refactor: move the patch-release version checks into SparkFixes [datafusion-comet] snmvaughan (via GitHub) via github
  • Re: [PR] refactor: move the patch-release version checks into SparkFixes [datafusion-comet] snmvaughan (via GitHub) via github
  • Re: [PR] refactor: move the patch-release version checks into SparkFixes [datafusion-comet] andygrove (via GitHub) via github
• [I] Native string to decimal cast raises `CAST_INVALID_INPUT` instead of `NUMERIC_VALUE_OUT_OF_RANGE` under ANSI when the scale adjustment is more than 38 [datafusion-comet] snmvaughan (via GitHub) via github
• Re: [I] The config values aren't checked [datafusion] vinycalves (via GitHub) via github
• Re: [I] Aggregates with `FILTER (WHERE ...)` copy every input column once per aggregate [datafusion] alamb (via GitHub) via github
  • Re: [I] Aggregates with `FILTER (WHERE ...)` copy every input column once per aggregate [datafusion] xudong963 (via GitHub) via github
• [PR] fix: unparse NULL nested-type literals as NULL [datafusion] vinycalves (via GitHub) via github
  • Re: [PR] fix: unparse NULL nested-type literals as NULL [datafusion] vinycalves (via GitHub) via github
• Re: [I] Unparser turns NULL list literals into `[]` and fails on NULL struct/map literals [datafusion] vinycalves (via GitHub) via github
  • Re: [I] Unparser turns NULL list literals into `[]` and fails on NULL struct/map literals [datafusion] vinycalves (via GitHub) via github
• Re: [I] Native string to timestamp cast returns NULL for zone offsets with a non-zero seconds part [datafusion-comet] erikbogado-nstech (via GitHub) via github
  • Re: [I] Native string to timestamp cast returns NULL for zone offsets with a non-zero seconds part [datafusion-comet] ErikBPF (via GitHub) via github
• [PR] fix: make Spark encode follow Spark 4 by default [datafusion] Pastoray (via GitHub) via github
  • Re: [PR] fix: make Spark encode follow Spark 4 by default [datafusion] vinycalves (via GitHub) via github
• [PR] Optimize single-column dictionary grouping [datafusion] Rich-T-kid (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] Rich-T-kid (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] Rich-T-kid (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] Rich-T-kid (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] Rich-T-kid (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] Rich-T-kid (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] Rich-T-kid (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] Rich-T-kid (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] Rich-T-kid (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] Rich-T-kid (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] Rich-T-kid (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] Rich-T-kid (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] Rich-T-kid (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] Rich-T-kid (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] adriangbot (via GitHub) via github
  • Re: [PR] Optimize single-column dictionary grouping [datafusion] Rich-T-kid (via GitHub) via github
• [I] Support `TIME(p)` SQL type [datafusion] sdf-jkl (via GitHub) via github
  • Re: [I] Support `TIME(p)` SQL type [datafusion] Surajsuthar (via GitHub) via github
  • Re: [I] Support `TIME(p)` SQL type [datafusion] mbutrovich (via GitHub) via github
  • Re: [I] Support `TIME(p)` SQL type [datafusion] sdf-jkl (via GitHub) via github
• [PR] test: rewrite escaped-regex error checks as plain text in 3 sqllogictest files (#27239) [datafusion] ETS2K7 (via GitHub) via github

• Earlier messages
• Later messages