github  

Messages by Thread

• [PR] test: cover array date cast fallback [datafusion-comet] via GitHub
  • Re: [PR] test: cover array date cast fallback [datafusion-comet] via GitHub
• Re: [I] Reduce Github Action Usage [datafusion] via GitHub
  • Re: [I] Reduce Github Action Usage [datafusion] via GitHub
  • Re: [I] Reduce Github Action Usage [datafusion] via GitHub
  • Re: [I] Reduce Github Action Usage [datafusion] via GitHub
• Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
• [PR] feat: support StringSplitSQL for split_part [datafusion-comet] via GitHub
  • Re: [PR] feat: support StringSplitSQL for split_part [datafusion-comet] via GitHub
  • Re: [PR] feat: support StringSplitSQL for split_part [datafusion-comet] via GitHub
  • Re: [PR] feat: support StringSplitSQL for split_part [datafusion-comet] via GitHub
• [PR] fix: Scale semi/anti-join column stats by estimated row count [datafusion] via GitHub
  • Re: [PR] fix: Scale semi/anti-join column stats by estimated row count [datafusion] via GitHub
  • Re: [PR] fix: Scale semi/anti-join column stats by estimated row count [datafusion] via GitHub
  • Re: [PR] fix: Scale semi/anti-join column stats by estimated row count [datafusion] via GitHub
  • Re: [PR] fix: Scale semi/anti-join column stats by estimated row count [datafusion] via GitHub
  • Re: [PR] fix: Scale semi/anti-join column stats by estimated row count [datafusion] via GitHub
  • Re: [PR] fix: Scale semi/anti-join column stats by estimated row count [datafusion] via GitHub
• Re: [I] Add csharp support [datafusion] via GitHub
  • Re: [I] Add csharp support [datafusion] via GitHub
  • Re: [I] Add csharp support [datafusion] via GitHub
  • Re: [I] Add csharp support [datafusion] via GitHub
• Re: [I] Unambiguous Column Reference Error Not Triggered in SQL Query [datafusion] via GitHub
• Re: [I] SMALLINT addition overflow should error instead of silently wrapping [datafusion] via GitHub
• Re: [I] Support Expanding OR Conditions in INNER JOIN into Multiple Mutually Exclusive Branches [datafusion] via GitHub
• [PR] fix: remove summary frontmatter from Comet EKS blog post [datafusion-site] via GitHub
  • Re: [PR] fix: remove summary frontmatter from Comet EKS blog post [datafusion-site] via GitHub
• Re: [I] Explore options for accelerating InMemoryTableScanExec [datafusion-comet] via GitHub
• [PR] Add native support for in-memory cache [datafusion-comet] via GitHub
  • Re: [PR] feat: Add Native Support for In-Memory Cache [datafusion-comet] via GitHub
  • Re: [PR] feat: Add Native Support for In-Memory Cache [datafusion-comet] via GitHub
  • Re: [PR] feat: Add Native Support for In-Memory Cache [datafusion-comet] via GitHub
  • Re: [PR] feat: Add Native Support for In-Memory Cache [datafusion-comet] via GitHub
• Re: [PR] Add map_transform UDF [datafusion] via GitHub
  • Re: [PR] Add map_transform UDF [datafusion] via GitHub
  • Re: [PR] Add map_transform UDF [datafusion] via GitHub
  • Re: [PR] Add map_transform UDF [datafusion] via GitHub
  • Re: [PR] Add map_transform UDF [datafusion] via GitHub
• [I] Join per-column stats not scaled with estimated row count [datafusion] via GitHub
  • Re: [I] Join per-column stats not scaled with estimated row count [datafusion] via GitHub
• Re: [I] Reorder boolean expressions (including filter predicates) according to evaluation cost / selectivity [datafusion] via GitHub
• Re: [PR] docs: revise OptimizerRule trait method descriptions [datafusion] via GitHub
  • Re: [PR] docs: revise OptimizerRule trait method descriptions [datafusion] via GitHub
  • Re: [PR] docs: revise OptimizerRule trait method descriptions [datafusion] via GitHub
  • Re: [PR] docs: revise OptimizerRule trait method descriptions [datafusion] via GitHub
• [I] Comet native Iceberg scan duplicates rows when splitting a single-row-group Parquet file into multiple byte-range tasks [datafusion-comet] via GitHub
  • Re: [I] Comet native Iceberg scan duplicates rows when splitting a single-row-group Parquet file into multiple byte-range tasks [datafusion-comet] via GitHub
  • Re: [I] Comet native Iceberg scan duplicates rows when splitting a single-row-group Parquet file into multiple byte-range tasks [datafusion-comet] via GitHub
  • Re: [I] Comet native Iceberg scan duplicates rows when splitting a single-row-group Parquet file into multiple byte-range tasks [datafusion-comet] via GitHub
  • Re: [I] Comet native Iceberg scan duplicates rows when splitting a single-row-group Parquet file into multiple byte-range tasks [datafusion-comet] via GitHub
  • Re: [I] Comet native Iceberg scan duplicates rows when splitting a single-row-group Parquet file into multiple byte-range tasks [datafusion-comet] via GitHub
  • Re: [I] Comet native Iceberg scan duplicates rows when splitting a single-row-group Parquet file into multiple byte-range tasks [datafusion-comet] via GitHub
  • Re: [I] Comet native Iceberg scan duplicates rows when splitting a single-row-group Parquet file into multiple byte-range tasks [datafusion-comet] via GitHub
• [PR] test: benchmarks and SLT tests for push-down TopK through join [datafusion] via GitHub
  • Re: [PR] test: benchmarks and SLT tests for push-down TopK through join [datafusion] via GitHub
  • Re: [PR] test: benchmarks and SLT tests for push-down TopK through join [datafusion] via GitHub
  • Re: [PR] test: benchmarks and SLT tests for push-down TopK through join [datafusion] via GitHub
• Re: [PR] fix factorial(21) should not overflow when PostgreSQL returns a numeric answer [datafusion] via GitHub
• Re: [PR] fix: SMALLINT addition overflow should error instead of silently wrapping [datafusion] via GitHub
• Re: [PR] fix: raise AmbiguousReference error for duplicate column names in subquery [datafusion] via GitHub
• Re: [PR] fix: UNIQUE constraint with NULLs incorrectly collapses GROUP BY groups [datafusion] via GitHub
  • Re: [PR] fix: UNIQUE constraint with NULLs incorrectly collapses GROUP BY groups [datafusion] via GitHub
• Re: [PR] feat: Support Expanding OR Conditions in INNER JOIN into Multiple Mutually Exclusive Branches [datafusion] via GitHub
• [PR] fix: timestamp comparisons to coerce to finer unit [datafusion] via GitHub
  • Re: [PR] fix: preserve timestamp precision when coercing mixed time units [datafusion] via GitHub
  • Re: [PR] fix: preserve timestamp precision when coercing mixed time units [datafusion] via GitHub
  • Re: [PR] fix: preserve timestamp precision when coercing mixed time units [datafusion] via GitHub
  • Re: [PR] fix: preserve timestamp precision when coercing mixed time units [datafusion] via GitHub
  • Re: [PR] fix: preserve timestamp precision when coercing mixed time units [datafusion] via GitHub
• Re: [PR] Fix DataFusion drops grouped MIN/MAX rows with NULL sort keys under ORDER BY + LIMIT [datafusion] via GitHub
• Re: [I] panic: date_bin overflows scaling extreme Timestamp(Second) source [datafusion] via GitHub
• Re: [PR] Optimize arrays_zip for perfectly aligned arrays [datafusion] via GitHub
  • Re: [PR] Optimize arrays_zip for perfectly aligned arrays [datafusion] via GitHub
• Re: [I] Extraneous casts added due to overly strict type comparison [datafusion] via GitHub
• Re: [I] PostgreSQL compatibility: `replace` with an empty search string should be a no-op [datafusion] via GitHub
• Re: [PR] fix: make replace empty search string a no-op [datafusion] via GitHub
• Re: [I] `power(decimal, -integer)` is incorrect [datafusion] via GitHub
• Re: [I] `power(decimal, integer)` overflow for moderate exponents [datafusion] via GitHub
• Re: [I] Optimize `arrays_zip` to avoid row-by-row copying in the perfect-zip case [datafusion] via GitHub
• Re: [I] Expose physical plan optimizer [datafusion-python] via GitHub
• Re: [PR] feat: import user-defined physical optimizer rules over FFI [datafusion-python] via GitHub
  • Re: [PR] feat: import user-defined physical optimizer rules over FFI [datafusion-python] via GitHub
• Re: [PR] feat(aggregate): cost-aware partial-aggregation skip (opt-in) [datafusion] via GitHub
  • Re: [PR] feat(aggregate): cost-aware partial-aggregation skip (opt-in) [datafusion] via GitHub
  • Re: [PR] feat(aggregate): cost-aware partial-aggregation skip (opt-in) [datafusion] via GitHub
  • Re: [PR] feat(aggregate): cost-aware partial-aggregation skip (opt-in) [datafusion] via GitHub
  • Re: [PR] feat(aggregate): cost-aware partial-aggregation skip (opt-in) [datafusion] via GitHub
  • Re: [PR] feat(aggregate): cost-aware partial-aggregation skip (opt-in) [datafusion] via GitHub
• Re: [PR] Push down topk through join [datafusion] via GitHub
  • Re: [PR] Push down topk through join [datafusion] via GitHub
  • Re: [PR] Push down topk through join [datafusion] via GitHub
• Re: [I] Concurrent cache misses on the same path trigger duplicate metadata loads in FileMetadataCache [datafusion] via GitHub
  • Re: [I] Concurrent cache misses on the same path trigger duplicate metadata loads in FileMetadataCache [datafusion] via GitHub
  • Re: [I] Concurrent cache misses on the same path trigger duplicate metadata loads in FileMetadataCache [datafusion] via GitHub
• [PR] fix: Skip `fork` and `forkserver` on `win32` [datafusion-python] via GitHub
  • Re: [PR] fix: Skip `fork` and `forkserver` on `win32` [datafusion-python] via GitHub
  • Re: [PR] fix: Skip `fork` and `forkserver` on `win32` [datafusion-python] via GitHub
  • Re: [PR] fix: Skip `fork` and `forkserver` on `win32` [datafusion-python] via GitHub
  • Re: [PR] fix: Skip `fork` and `forkserver` on `win32` [datafusion-python] via GitHub
• Re: [PR] feat: add max_row_group_bytes option to ParquetOptions [datafusion] via GitHub
  • Re: [PR] feat: add max_row_group_bytes option to ParquetOptions [datafusion] via GitHub
  • Re: [PR] feat: add max_row_group_bytes option to ParquetOptions [datafusion] via GitHub
  • Re: [PR] feat: add max_row_group_bytes option to ParquetOptions [datafusion] via GitHub
• Re: [I] Fix memory accounting in Datafusion [datafusion] via GitHub
• Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
• Re: [I] Incorrect memory accounting in `array_agg` function [datafusion] via GitHub
  • Re: [I] Incorrect memory accounting in `array_agg` function [datafusion] via GitHub
  • Re: [I] Incorrect memory accounting in `array_agg` function [datafusion] via GitHub
• Re: [I] [DISCUSSION] Memory accounting model discussion [datafusion] via GitHub
• Re: [I] More accurate memory accounting in external sort [datafusion] via GitHub
• [I] [EPIC] A collection of Memory Accounting Limitations and Improvements [datafusion] via GitHub
  • Re: [I] [EPIC] A collection of Memory Accounting Limitations and Improvements [datafusion] via GitHub
  • Re: [I] [EPIC] A collection of Memory Accounting Limitations and Improvements [datafusion] via GitHub
  • Re: [I] [EPIC] A collection of Memory Accounting Limitations and Improvements [datafusion] via GitHub
  • Re: [I] [EPIC] A collection of Memory Accounting Limitations and Improvements [datafusion] via GitHub
  • Re: [I] [EPIC] A collection of Memory Accounting Limitations and Improvements [datafusion] via GitHub
• [PR] test: add timestamp ntz array cast coverage [datafusion-comet] via GitHub
  • Re: [PR] test: add timestamp ntz array cast coverage [datafusion-comet] via GitHub
• Re: [PR] fix date_bin overflows scaling extreme Timestamp(Second) source [datafusion] via GitHub
  • Re: [PR] fix date_bin overflows scaling extreme Timestamp(Second) source [datafusion] via GitHub
• Re: [PR] fix: Remove `power(decimal, int)` code path [datafusion] via GitHub
  • Re: [PR] fix: Remove `power(decimal, int)` code path [datafusion] via GitHub
• Re: [PR] perf: optimize arrays_zip perfect list zips [datafusion] via GitHub
  • Re: [PR] perf: optimize arrays_zip perfect list zips [datafusion] via GitHub
• [I] Downstream consumers of AggregateExec significantly overcount memory usage [datafusion] via GitHub
  • Re: [I] Downstream consumers of AggregateExec significantly overcount memory usage [datafusion] via GitHub
  • Re: [I] Downstream consumers of AggregateExec significantly overcount memory usage [datafusion] via GitHub
  • Re: [I] Downstream consumers of AggregateExec significantly overcount memory usage [datafusion] via GitHub
  • Re: [I] Downstream consumers of AggregateExec significantly overcount memory usage [datafusion] via GitHub
• [I] Incorrect timestamp comparison with mixed time units [datafusion] via GitHub
  • Re: [I] Incorrect timestamp comparison with mixed time units [datafusion] via GitHub
  • Re: [I] Incorrect timestamp comparison with mixed time units [datafusion] via GitHub
  • Re: [I] Incorrect timestamp comparison with mixed time units [datafusion] via GitHub
• [PR] fix: handle NULLs in sliding SUM(DISTINCT) window frames [datafusion] via GitHub
  • Re: [PR] fix: handle NULLs in sliding SUM(DISTINCT) window frames [datafusion] via GitHub
  • Re: [PR] fix: handle NULLs in sliding SUM(DISTINCT) window frames [datafusion] via GitHub
  • Re: [PR] fix: handle NULLs in sliding SUM(DISTINCT) window frames [datafusion] via GitHub
• [I] SUM(DISTINCT) over a bounded window frame ignores NULLs' validity mask and returns 0 instead of NULL [datafusion] via GitHub
  • Re: [I] SUM(DISTINCT) over a bounded window frame ignores NULLs' validity mask and returns 0 instead of NULL [datafusion] via GitHub
• [PR] test: initial repro test by codex [datafusion] via GitHub
  • Re: [PR] test: initial repro test by codex [datafusion] via GitHub
  • Re: [PR] test: initial repro test by codex [datafusion] via GitHub
• Re: [PR] refactor: Update SortMergeJoin to use async spill abstractions [datafusion] via GitHub
  • Re: [PR] refactor: Update SortMergeJoin to use async spill abstractions [datafusion] via GitHub
  • Re: [PR] refactor: Update SortMergeJoin to use async spill abstractions [datafusion] via GitHub
  • Re: [PR] refactor: Update SortMergeJoin to use async spill abstractions [datafusion] via GitHub
  • Re: [PR] refactor: Update SortMergeJoin to use async spill abstractions [datafusion] via GitHub
  • Re: [PR] refactor: Update SortMergeJoin to use async spill abstractions [datafusion] via GitHub
  • Re: [PR] refactor: Update SortMergeJoin to use async spill abstractions [datafusion] via GitHub
  • Re: [PR] refactor: Update SortMergeJoin to use async spill abstractions [datafusion] via GitHub
  • Re: [PR] refactor: Update SortMergeJoin to use async spill abstractions [datafusion] via GitHub
  • Re: [PR] refactor: Update SortMergeJoin to use async spill abstractions [datafusion] via GitHub
• Re: [PR] fix generate_series table function overflows [datafusion] via GitHub
  • Re: [PR] fix generate_series table function overflows [datafusion] via GitHub
• [PR] chore(docker): Use yellow_tripdata_2022-01.parquet from nightlies.apache.org [datafusion-ballista] via GitHub
  • Re: [PR] chore(docker): Use yellow_tripdata_2022-01.parquet from nightlies.apache.org [datafusion-ballista] via GitHub
  • Re: [PR] chore(docker): Use yellow_tripdata_2022-01.parquet from nightlies.apache.org [datafusion-ballista] via GitHub

• Earlier messages
• Later messages