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• [PR] perf: Optimize `array_min`, `array_max` for arrays of primitive types [datafusion] via GitHub
  • Re: [PR] perf: Optimize `array_min`, `array_max` for arrays of primitive types [datafusion] via GitHub
• [I] Optimize `array_min`, `array_max` for primitive types [datafusion] via GitHub
  • Re: [I] Optimize `array_min`, `array_max` for primitive types [datafusion] via GitHub
• [PR] recursive protection for `parse_subexpr` [datafusion-sqlparser-rs] via GitHub
• [PR] fix: Add schema validation for native_datafusion Parquet scan [datafusion-comet] via GitHub
  • Re: [PR] fix: Add schema validation for native_datafusion Parquet scan [datafusion-comet] via GitHub
• Re: [PR] `MiMalloc` for `sqllogictests` [datafusion] via GitHub
• Re: [I] Optimize `array_sort` [datafusion] via GitHub
• [PR] fix: preserve subquery structure when unparsing SubqueryAlias over Ag… [datafusion] via GitHub
• [I] SQL Unparser loses subquery structure when SubqueryAlias directly wraps an Aggregate (PR to follow) [datafusion] via GitHub
• [PR] feat: add sort_array benchmark [datafusion-comet] via GitHub
• [PR] Preserve SPM when parent maintains input order [datafusion] via GitHub
• [I] `EnforceDistribution` replaces `SortPreservingMergeExec` with `CoalescePartitionsExec` when parent maintains input order [datafusion] via GitHub
  • Re: [I] `EnforceDistribution` replaces `SortPreservingMergeExec` with `CoalescePartitionsExec` when parent maintains input order [datafusion] via GitHub
• [PR] Do not merge - Test df binding python [datafusion] via GitHub
• [PR] Fix index oob panic in unparser with mismatched stacked projections [datafusion] via GitHub
  • Re: [PR] Fix index oob panic in unparser with mismatched stacked projections [datafusion] via GitHub
• [PR] feat: Support Spark expression: percentile_cont [datafusion-comet] via GitHub
  • Re: [PR] feat: Support Spark expression: percentile_cont [datafusion-comet] via GitHub
  • Re: [PR] feat: Support Spark expression: percentile_cont [datafusion-comet] via GitHub
  • Re: [PR] feat: Support Spark expression: percentile_cont [datafusion-comet] via GitHub
  • Re: [PR] feat: Support Spark expression: percentile_cont [datafusion-comet] via GitHub
  • Re: [PR] feat: Support Spark expression: percentile_cont [datafusion-comet] via GitHub
• [I] [EPIC] Iceberg Feature Matrix: Spark-Iceberg vs iceberg-rust vs datafusion-comet [datafusion-comet] via GitHub
• Re: [I] [EPIC] Improve Comet Native writer [datafusion-comet] via GitHub
• Re: [PR] Disallow order by within ordered-set aggregate functions argument lists [datafusion] via GitHub
• Re: [I] Add support for partitioned Parquet writes [datafusion-comet] via GitHub
• [PR] chore: Experiments with `native_datafusion` scan optimizations [datafusion-comet] via GitHub
• [I] TPC-DS at different scale factors [datafusion-benchmarks] via GitHub
• [PR] Alamb/default arc [datafusion] via GitHub
  • Re: [PR] PlanningPerf: Add global default ConfigOptions [datafusion] via GitHub
  • Re: [PR] PlanningPerf: Add global default ConfigOptions [datafusion] via GitHub
  • Re: [PR] PlanningPerf: Add global default ConfigOptions [datafusion] via GitHub
  • Re: [PR] PlanningPerf: Add global default ConfigOptions [datafusion] via GitHub
  • Re: [PR] PlanningPerf: Add global default ConfigOptions [datafusion] via GitHub
  • Re: [PR] PlanningPerf: Add global default ConfigOptions [datafusion] via GitHub
  • Re: [PR] PlanningPerf: Add global default ConfigOptions [datafusion] via GitHub
  • Re: [PR] PlanningPerf: Add global default ConfigOptions [datafusion] via GitHub
  • Re: [PR] PlanningPerf: Add global default ConfigOptions [datafusion] via GitHub
  • Re: [PR] PlanningPerf: Add global default ConfigOptions [datafusion] via GitHub
  • Re: [PR] PlanningPerf: Add global default ConfigOptions [datafusion] via GitHub
  • Re: [PR] PlanningPerf: Add global default ConfigOptions [datafusion] via GitHub
  • Re: [PR] PlanningPerf: Add global default ConfigOptions [datafusion] via GitHub
  • Re: [PR] PlanningPerf: Add global default ConfigOptions [datafusion] via GitHub
  • Re: [PR] PlanningPerf: Add global default ConfigOptions [datafusion] via GitHub
  • Re: [PR] PlanningPerf: Add global default ConfigOptions [datafusion] via GitHub
  • Re: [PR] PlanningPerf: Add global default ConfigOptions [datafusion] via GitHub
  • Re: [PR] PlanningPerf: Add global default ConfigOptions [datafusion] via GitHub
  • Re: [PR] PlanningPerf: Add global default ConfigOptions [datafusion] via GitHub
  • Re: [PR] PlanningPerf: Add global default ConfigOptions [datafusion] via GitHub
  • Re: [PR] PlanningPerf: Add global default ConfigOptions [datafusion] via GitHub
  • Re: [PR] perf: Improve planning time w/ global default `ConfigOptions` [datafusion] via GitHub
  • Re: [PR] perf: Improve planning time w/ global default `ConfigOptions` [datafusion] via GitHub
  • Re: [PR] perf: Improve planning time w/ global default `ConfigOptions` [datafusion] via GitHub
• Re: [PR] Cache `PlanProperties`, add fast-path for `with_new_children` [datafusion] via GitHub
  • Re: [PR] Cache `PlanProperties`, add fast-path for `with_new_children` [datafusion] via GitHub
  • Re: [PR] Cache `PlanProperties`, add fast-path for `with_new_children` [datafusion] via GitHub
  • Re: [PR] Cache `PlanProperties`, add fast-path for `with_new_children` [datafusion] via GitHub
• Re: [PR] Fix tdigest [datafusion] via GitHub
• [PR] perf: replace gather-based shuffle partitioning with scatter kernel [datafusion-comet] via GitHub
  • Re: [PR] perf: replace gather-based shuffle partitioning with scatter kernel [datafusion-comet] via GitHub
  • Re: [PR] perf: replace gather-based shuffle partitioning with scatter kernel [datafusion-comet] via GitHub
  • Re: [PR] perf: replace gather-based shuffle partitioning with scatter kernel [datafusion-comet] via GitHub
  • Re: [PR] perf: replace gather-based shuffle partitioning with scatter kernel [datafusion-comet] via GitHub
  • Re: [PR] perf: replace gather-based shuffle partitioning with scatter kernel [experimental] [datafusion-comet] via GitHub
  • Re: [PR] perf: replace gather-based shuffle partitioning with scatter kernel [experimental] [datafusion-comet] via GitHub
• [PR] feat: add standalone shuffle benchmark binary for profiling [datafusion-comet] via GitHub
• [PR] chore(deps): bump lz4_flex from 0.12.0 to 0.12.1 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump lz4_flex from 0.12.0 to 0.12.1 [datafusion-ballista] via GitHub
• [PR] Add a builder to `SimplifyContext` to avoid allocating default values [datafusion] via GitHub
  • Re: [PR] Add a builder to `SimplifyContext` to avoid allocating default values [datafusion] via GitHub
  • Re: [PR] Add a builder to `SimplifyContext` to avoid allocating default values [datafusion] via GitHub
  • Re: [PR] Add a builder to `SimplifyContext` to avoid allocating default values [datafusion] via GitHub
  • Re: [PR] Add a builder to `SimplifyContext` to avoid allocating default values [datafusion] via GitHub
  • Re: [PR] Add a builder to `SimplifyContext` to avoid allocating default values [datafusion] via GitHub
  • Re: [PR] Add a builder to `SimplifyContext` to avoid allocating default values [datafusion] via GitHub
  • Re: [PR] Add a builder to `SimplifyContext` to avoid allocating default values [datafusion] via GitHub
  • Re: [PR] Add a builder to `SimplifyContext` to avoid allocating default values [datafusion] via GitHub
  • Re: [PR] Add a builder to `SimplifyContext` to avoid allocating default values [datafusion] via GitHub
  • Re: [PR] Add a builder to `SimplifyContext` to avoid allocating default values [datafusion] via GitHub
  • Re: [PR] Add a builder to `SimplifyContext` to avoid allocating default values [datafusion] via GitHub
  • Re: [PR] Add a builder to `SimplifyContext` to avoid allocating default values [datafusion] via GitHub
  • Re: [PR] Add a builder to `SimplifyContext` to avoid allocating default values [datafusion] via GitHub
  • Re: [PR] Add a builder to `SimplifyContext` to avoid allocating default values [datafusion] via GitHub
  • Re: [PR] Add a builder to `SimplifyContext` to avoid allocating default values [datafusion] via GitHub
  • Re: [PR] Add a builder to `SimplifyContext` to avoid allocating default values [datafusion] via GitHub
  • Re: [PR] Add a builder to `SimplifyContext` to avoid allocating default values [datafusion] via GitHub
  • Re: [PR] Add a builder to `SimplifyContext` to avoid allocating default values [datafusion] via GitHub
  • Re: [PR] Add a builder to `SimplifyContext` to avoid allocating default values [datafusion] via GitHub
  • Re: [PR] Add a builder to `SimplifyContext` to avoid allocating default values [datafusion] via GitHub
  • Re: [PR] Add a builder to `SimplifyContext` to avoid allocating default values [datafusion] via GitHub
  • Re: [PR] Add a builder to `SimplifyContext` to avoid allocating default values [datafusion] via GitHub
  • Re: [PR] Add a builder to `SimplifyContext` to avoid allocating default values [datafusion] via GitHub
  • Re: [PR] Add a builder to `SimplifyContext` to avoid allocating default values [datafusion] via GitHub
• [PR] docs: Document the TableProvider evaluation order for filter, limit and projection [datafusion] via GitHub
• [PR] feat: support GroupsAccumulator for first_value and last_value with string/binary types [datafusion] via GitHub
  • Re: [PR] feat: support GroupsAccumulator for first_value and last_value with string/binary types [datafusion] via GitHub
• [PR] chore(deps): bump rustls-webpki from 0.103.9 to 0.103.10 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump rustls-webpki from 0.103.9 to 0.103.10 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump rustls-webpki from 0.103.9 to 0.103.10 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump rustls-webpki from 0.103.9 to 0.103.10 [datafusion] via GitHub
• [PR] chore(deps): bump rustls-webpki from 0.103.8 to 0.103.10 [datafusion-sandbox] via GitHub
• [PR] build(deps): bump rustls-webpki from 0.103.9 to 0.103.10 [datafusion-python] via GitHub
• [PR] chore(deps): bump rustls-webpki from 0.103.9 to 0.103.10 in /native [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump rustls-webpki from 0.103.9 to 0.103.10 in /native [datafusion-comet] via GitHub
• [PR] chore(deps): bump rustls-webpki from 0.103.9 to 0.103.10 in /python [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump rustls-webpki from 0.103.9 to 0.103.10 in /python [datafusion-ballista] via GitHub
• [PR] perf: default multi COUNT(DISTINCT) logical optimizer rewrite [datafusion] via GitHub
  • Re: [PR] perf: default multi COUNT(DISTINCT) logical optimizer rewrite [datafusion] via GitHub
  • Re: [PR] perf: default multi COUNT(DISTINCT) logical optimizer rewrite [datafusion] via GitHub
  • Re: [PR] perf: default multi COUNT(DISTINCT) logical optimizer rewrite [datafusion] via GitHub
  • Re: [PR] perf: default multi COUNT(DISTINCT) logical optimizer rewrite [datafusion] via GitHub
  • Re: [PR] perf: default multi COUNT(DISTINCT) logical optimizer rewrite [datafusion] via GitHub
  • Re: [PR] perf: default multi COUNT(DISTINCT) logical optimizer rewrite [datafusion] via GitHub
  • Re: [PR] perf: default multi COUNT(DISTINCT) logical optimizer rewrite [datafusion] via GitHub
  • Re: [PR] perf: default multi COUNT(DISTINCT) logical optimizer rewrite [datafusion] via GitHub
• [I] Optimize multiple COUNT(DISTINCT) memory via logical plan rewrite [datafusion] via GitHub
• [PR] docs: clarify DataFusion 52 FFI session-parameter requirement for provider hooks [datafusion-python] via GitHub
• [PR] fix: disable ANSI mode in benchmarks to avoid exceptions on invalid input [datafusion-comet] via GitHub
  • Re: [PR] fix: disable ANSI mode in benchmarks to avoid exceptions on invalid input [datafusion-comet] via GitHub
• [PR] fix: set escape_char when simplifying starts_with to LIKE [datafusion] via GitHub
• Re: [I] Optimize lpad, rpad for scalar args [datafusion] via GitHub
• Re: [PR] perf: Optimize `lpad()`, `rpad()` for scalar args [datafusion] via GitHub
• Re: [I] Optimize `strpos`: (1) scalar needle, and (2) Unicode input [datafusion] via GitHub
• [PR] Blog post on writing table providers [datafusion-site] via GitHub
  • Re: [PR] Blog post on writing table providers [datafusion-site] via GitHub
  • Re: [PR] Blog post on writing table providers [datafusion-site] via GitHub
• [PR] ci: pin third-party actions to Apache-approved SHAs [datafusion-ballista] via GitHub
• [PR] ci: pin third-party actions to Apache-approved SHAs [datafusion-ray] via GitHub
• [PR] ci: pin third-party actions to Apache-approved SHAs [datafusion-python] via GitHub
  • Re: [PR] ci: pin third-party actions to Apache-approved SHAs [datafusion-python] via GitHub
  • Re: [PR] ci: pin third-party actions to Apache-approved SHAs [datafusion-python] via GitHub
• [PR] debug assertions for `ci-optimized` [datafusion] via GitHub
• [PR] Super fast extended tests [datafusion] via GitHub
  • Re: [PR] Super fast extended tests [datafusion] via GitHub
  • Re: [PR] Super fast extended tests [datafusion] via GitHub
  • Re: [PR] Super fast extended tests [datafusion] via GitHub
  • Re: [PR] Super fast extended tests [datafusion] via GitHub
  • Re: [PR] Super fast extended tests [datafusion] via GitHub
  • Re: [PR] Super fast extended tests [datafusion] via GitHub
  • Re: [PR] Super fast extended tests [datafusion] via GitHub
  • Re: [PR] Super fast extended tests [datafusion] via GitHub
  • Re: [PR] Super fast extended tests [datafusion] via GitHub
  • Re: [PR] Super fast extended tests [datafusion] via GitHub
  • Re: [PR] Super fast extended tests [datafusion] via GitHub
  • Re: [PR] Super fast extended tests [datafusion] via GitHub
  • Re: [PR] Super fast extended tests [datafusion] via GitHub
  • Re: [PR] Super fast extended tests [datafusion] via GitHub
  • Re: [PR] Super fast extended tests and improved planning speed linux [datafusion] via GitHub
  • Re: [PR] Super fast extended tests and improved planning speed linux [datafusion] via GitHub
  • Re: [PR] Super fast extended tests and improved planning speed linux [datafusion] via GitHub
  • Re: [PR] Super fast extended tests and improved planning speed linux [datafusion] via GitHub
  • Re: [PR] Super fast extended tests and improved planning speed linux [datafusion] via GitHub
  • Re: [PR] Super fast extended tests and improved planning speed linux [datafusion] via GitHub
  • Re: [PR] Super fast extended tests and improved planning speed linux [datafusion] via GitHub
  • Re: [PR] Super fast extended tests and improved planning speed linux [datafusion] via GitHub
  • Re: [PR] Super fast extended tests and improved planning speed linux [datafusion] via GitHub
  • Re: [PR] Super fast extended tests and improved planning speed linux [datafusion] via GitHub
  • Re: [PR] Super fast extended tests and improved planning speed linux [datafusion] via GitHub
  • Re: [PR] Super fast extended tests and improved planning speed linux [datafusion] via GitHub
  • Re: [PR] Super fast extended tests and improved planning speed linux [datafusion] via GitHub
  • Re: [PR] Super fast extended tests and improved planning speed linux [datafusion] via GitHub
  • Re: [PR] Super fast extended tests and improved planning speed linux [datafusion] via GitHub
  • Re: [PR] Super fast extended tests and improved planning speed linux [datafusion] via GitHub
• [PR] perf: Optimize `array_sort()` [datafusion] via GitHub
  • Re: [PR] perf: Optimize `array_sort()` [datafusion] via GitHub
  • Re: [PR] perf: Optimize `array_sort()` [datafusion] via GitHub
  • Re: [PR] perf: Optimize `array_sort()` [datafusion] via GitHub
  • Re: [PR] perf: Optimize `array_sort()` [datafusion] via GitHub
  • Re: [PR] perf: Optimize `array_sort()` [datafusion] via GitHub
  • Re: [PR] perf: Optimize `array_sort()` [datafusion] via GitHub
  • Re: [PR] perf: Optimize `array_sort()` [datafusion] via GitHub
  • Re: [PR] perf: Optimize `array_sort()` [datafusion] via GitHub
  • Re: [PR] perf: Optimize `array_sort()` [datafusion] via GitHub
  • Re: [PR] perf: Optimize `array_sort()` [datafusion] via GitHub
  • Re: [PR] perf: Optimize `array_sort()` [datafusion] via GitHub
  • Re: [PR] perf: Optimize `array_sort()` [datafusion] via GitHub
• [PR] Expose values through ValueWithSpan [datafusion-sqlparser-rs] via GitHub
• [PR] chore: extract shuffle module into separate crate [datafusion-comet] via GitHub
• Re: [I] [Docs] Update SQL examples in documentation for timestamp/datetime functions [datafusion] via GitHub
• [PR] [docs] add sql example to timestamp/datetime docs for time zone [datafusion] via GitHub
• [I] `native_datafusion` performance improvement [datafusion-comet] via GitHub
• [PR] Cap NDV at row count in statistics estimation [datafusion] via GitHub
  • Re: [PR] feat(stats): cap NDV at row count in statistics estimation [datafusion] via GitHub
• [PR] feat: add native support for get_json_object expression [datafusion-comet] via GitHub
• Re: [I] native_datafusion: no error thrown for schema mismatch when reading Parquet with incompatible types [datafusion-comet] via GitHub
• Re: [PR] chore: run Spark 3.4 tests with `native_datafusion` scan [datafusion-comet] via GitHub
  • Re: [PR] chore: run Spark 3.4 tests with `native_datafusion` scan [datafusion-comet] via GitHub
  • Re: [PR] chore: run Spark 3.4 tests with `native_datafusion` scan [datafusion-comet] via GitHub
  • Re: [PR] chore: run Spark 3.4 tests with `native_datafusion` scan [datafusion-comet] via GitHub
  • Re: [PR] chore: run Spark 3.4 tests with `native_datafusion` scan [datafusion-comet] via GitHub
  • Re: [PR] chore: run Spark 3.4 tests with `native_datafusion` scan [datafusion-comet] via GitHub
  • Re: [PR] chore: run Spark 3.4 tests with `native_datafusion` scan [datafusion-comet] via GitHub
  • Re: [PR] chore: run Spark 3.4 tests with `native_datafusion` scan [datafusion-comet] via GitHub
  • Re: [PR] chore: run Spark 3.4 tests with `native_datafusion` scan [datafusion-comet] via GitHub
• [PR] feat: Support Spark expression days [datafusion-comet] via GitHub
  • Re: [PR] feat: Support Spark expression days [datafusion-comet] via GitHub
  • Re: [PR] feat: Support Spark expression days [datafusion-comet] via GitHub
  • Re: [PR] feat: Support Spark expression days [datafusion-comet] via GitHub

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