github
Thread
Date
Earlier messages
Later messages
Messages by Thread
Re: [PR] feat(physical-plan): add GroupColumn support for FixedSizeList / List / LargeList / Struct in multi-column GROUP BY [datafusion]
via GitHub
Re: [PR] fix: rescale decimal results in floor and ceil to scale 0 [datafusion]
via GitHub
Re: [PR] feat: Add max batch size metric to baseline [API Breaking] [datafusion]
via GitHub
Re: [PR] fix: Align struct cast behavior with Lists and Maps [datafusion]
via GitHub
Re: [PR] fix: Spark-compatible HALF_UP rounding for round() on float types [datafusion]
via GitHub
Re: [PR] Support spilling for WindowAggExec [datafusion]
via GitHub
Re: [PR] feat(proto): plumb PhysicalProtoConverterExtension into try_encode_expr / try_decode_expr [datafusion]
via GitHub
Re: [PR] feat(physical-expr): add Partitioning::DynamicRange variant [datafusion]
via GitHub
Re: [PR] feat(optimizer): coalesce peer first_value / last_value into a single struct aggregate [datafusion]
via GitHub
Re: [PR] feat(optimizer): coalesce peer first_value / last_value into a single struct aggregate [datafusion]
via GitHub
[I] Proposal: DataFusion Cookbook [datafusion]
via GitHub
Re: [I] Proposal: DataFusion Cookbook [datafusion]
via GitHub
Re: [I] Proposal: DataFusion Cookbook [datafusion]
via GitHub
Re: [I] Proposal: DataFusion Cookbook [datafusion]
via GitHub
Re: [I] Proposal: DataFusion Cookbook [datafusion]
via GitHub
Re: [I] Proposal: DataFusion Cookbook [datafusion]
via GitHub
Re: [I] Proposal: DataFusion Cookbook [datafusion]
via GitHub
Re: [I] Proposal: DataFusion Cookbook [datafusion]
via GitHub
Re: [I] Harden the k8s chaos backend before the #2029 kill scenarios [datafusion-ballista]
via GitHub
[PR] PartitionedFile::metadata_size_hint serde [datafusion]
via GitHub
Re: [PR] PartitionedFile::metadata_size_hint serde [datafusion]
via GitHub
Re: [PR] PartitionedFile::metadata_size_hint serde [datafusion]
via GitHub
[I] Converge the two Delta read paths into one plugin (clean architecture + performance) [datafusion-comet]
via GitHub
Re: [I] Improve performance of query execution by not clone'ing SessionState [datafusion]
via GitHub
[PR] docs: document DELETE and UPDATE for SQL users and table provider authors [datafusion]
via GitHub
Re: [PR] docs: document DELETE and UPDATE for SQL users and table provider authors [datafusion]
via GitHub
Re: [PR] docs: document DELETE and UPDATE for SQL users and table provider authors [datafusion]
via GitHub
Re: [PR] docs: document DELETE and UPDATE for SQL users and table provider authors [datafusion]
via GitHub
Re: [PR] docs: document DELETE and UPDATE for SQL users and table provider authors [datafusion]
via GitHub
Re: [I] Improve RepartitionExec for better query performance [datafusion]
via GitHub
Re: [I] Improve RepartitionExec for better query performance [datafusion]
via GitHub
Re: [I] Improve RepartitionExec for better query performance [datafusion]
via GitHub
Re: [I] Improve ArrowWriter performance for fixed-length vectors [datafusion-comet]
via GitHub
[PR] fix: ignore reader-side parquet.hadoop.vectored.io.enabled in Iceberg native-write detection [datafusion-comet]
via GitHub
Re: [PR] fix: ignore reader-side parquet.hadoop.vectored.io.enabled in Iceberg native-write detection [datafusion-comet]
via GitHub
Re: [PR] fix: ignore reader-side parquet.hadoop.vectored.io.enabled in Iceberg native-write detection [datafusion-comet]
via GitHub
Re: [I] Epic: Cost-Based Dictionary Encoding [datafusion]
via GitHub
Re: [I] Epic: Cost-Based Dictionary Encoding [datafusion]
via GitHub
Re: [I] Epic: Cost-Based Dictionary Encoding [datafusion]
via GitHub
Re: [I] Epic: Cost-Based Dictionary Encoding [datafusion]
via GitHub
Re: [I] Epic: Cost-Based Dictionary Encoding [datafusion]
via GitHub
Re: [I] Epic: Cost-Based Dictionary Encoding [datafusion]
via GitHub
Re: [I] Epic: Cost-Based Dictionary Encoding [datafusion]
via GitHub
Re: [I] Epic: Cost-Based Dictionary Encoding [datafusion]
via GitHub
Re: [I] Epic: Cost-Based Dictionary Encoding [datafusion]
via GitHub
[PR] feat: default native replace for non-empty UTF8_BINARY literal search [datafusion-comet]
via GitHub
Re: [PR] feat: default native replace for non-empty UTF8_BINARY literal search [datafusion-comet]
via GitHub
Re: [PR] feat: default native replace for non-empty UTF8_BINARY literal search [datafusion-comet]
via GitHub
Re: [PR] feat: default native replace for non-empty UTF8_BINARY literal search [datafusion-comet]
via GitHub
Re: [PR] feat: default native replace for non-empty UTF8_BINARY literal search [datafusion-comet]
via GitHub
Re: [PR] feat: default native replace for non-empty UTF8_BINARY literal search [datafusion-comet]
via GitHub
Re: [PR] feat: default native replace for non-empty UTF8_BINARY literal search [datafusion-comet]
via GitHub
Re: [PR] feat: default native replace for non-empty UTF8_BINARY literal search [datafusion-comet]
via GitHub
Re: [PR] feat: default native replace for non-empty UTF8_BINARY literal search [datafusion-comet]
via GitHub
Re: [PR] feat: default native replace for non-empty UTF8_BINARY literal search [datafusion-comet]
via GitHub
Re: [PR] feat: default native replace for non-empty UTF8_BINARY literal search [datafusion-comet]
via GitHub
Re: [PR] feat: default native replace for non-empty UTF8_BINARY literal search [datafusion-comet]
via GitHub
Re: [PR] feat: default native replace for non-empty UTF8_BINARY literal search [datafusion-comet]
via GitHub
[PR] Fix/date bin ree coercion [datafusion]
via GitHub
Re: [PR] Fix/date bin ree coercion [datafusion]
via GitHub
Re: [PR] fix: support RunEndEncoded arrays in function and window frame type coercion [datafusion]
via GitHub
Re: [PR] fix: support RunEndEncoded arrays in function and window frame type coercion [datafusion]
via GitHub
Re: [PR] fix: support RunEndEncoded arrays in function and window frame type coercion [datafusion]
via GitHub
Re: [PR] fix: support RunEndEncoded arrays in function and window frame type coercion [datafusion]
via GitHub
Re: [PR] fix: support RunEndEncoded arrays in function and window frame type coercion [datafusion]
via GitHub
Re: [PR] fix: support RunEndEncoded arrays in function and window frame type coercion [datafusion]
via GitHub
Re: [PR] fix: support RunEndEncoded arrays in function and window frame type coercion [datafusion]
via GitHub
[PR] ci: add opt-in TPC-H SF1 performance regression check for PRs [datafusion]
via GitHub
Re: [PR] ci: add opt-in TPC-H SF1 performance regression check for PRs [datafusion]
via GitHub
Re: [PR] ci: add performance regression check for PRs / merges [datafusion]
via GitHub
Re: [PR] consider date_bin in range partition satisfaction [datafusion]
via GitHub
Re: [PR] consider date_bin in range partition satisfaction [datafusion]
via GitHub
Re: [I] Run DataFusion benchmarks regularly and track performance history over time [datafusion]
via GitHub
Re: [I] Run DataFusion benchmarks regularly and track performance history over time [datafusion]
via GitHub
Re: [I] Run DataFusion benchmarks regularly and track performance history over time [datafusion]
via GitHub
[PR] fix: expose native memory usage to Spark [datafusion-comet]
via GitHub
Re: [PR] fix: expose native memory usage to Spark [datafusion-comet]
via GitHub
Re: [PR] fix: expose native memory usage to Spark [datafusion-comet]
via GitHub
Re: [PR] fix: expose native memory usage to Spark [datafusion-comet]
via GitHub
[I] `coerced_from` and `extract_window_frame_target_type` doesn't support RunEndEncoded arrays [datafusion]
via GitHub
Re: [I] Improve physical plan proto round-trip test coverage (missing SortPreservingMergeExec; Debug-string assertions miss dropped fields) [datafusion]
via GitHub
Re: [I] Improve physical plan proto round-trip test coverage (missing SortPreservingMergeExec; Debug-string assertions miss dropped fields) [datafusion]
via GitHub
[I] [Follow-up #23696] Prebuild parquet row-filter candidates once per file [datafusion]
via GitHub
[PR] chore: remove deprecated ScalarUDF / ScalarUDFImpl methods past the API health policy [datafusion]
via GitHub
Re: [PR] chore: remove deprecated ScalarUDF / ScalarUDFImpl methods past the API health policy [datafusion]
via GitHub
Re: [PR] chore: remove deprecated ScalarUDF / ScalarUDFImpl methods past the API health policy [datafusion]
via GitHub
Re: [PR] chore: remove deprecated ScalarUDF / ScalarUDFImpl methods past the API health policy [datafusion]
via GitHub
[PR] perf: make copying `SessionState` faster by sharing must state behind an `Arc` [datafusion]
via GitHub
Re: [PR] perf: make copying `SessionState` faster by sharing must state behind an `Arc` [datafusion]
via GitHub
Re: [PR] perf: make cloning `SessionState` faster by sharing most state behind an `Arc` [datafusion]
via GitHub
Re: [PR] perf: make cloning `SessionState` faster by sharing most state behind an `Arc` [datafusion]
via GitHub
Re: [PR] perf: make copying `SessionState` faster by sharing most state behind an `Arc` [datafusion]
via GitHub
Re: [PR] perf: make cloning `SessionState` faster by sharing most state behind an `Arc` [datafusion]
via GitHub
Re: [PR] perf: make cloning `SessionState` faster by sharing most state behind an `Arc` [datafusion]
via GitHub
Re: [PR] perf: make cloning `SessionState` faster by sharing most state behind an `Arc` [datafusion]
via GitHub
Re: [PR] perf: make cloning `SessionState` faster by sharing most state behind an `Arc` [datafusion]
via GitHub
Re: [PR] perf: make cloning `SessionState` faster by sharing most state behind an `Arc` [datafusion]
via GitHub
Re: [PR] perf: make cloning `SessionState` faster by sharing most state behind an `Arc` [datafusion]
via GitHub
Re: [PR] perf: make cloning `SessionState` faster by sharing most state behind an `Arc` [datafusion]
via GitHub
Re: [PR] perf: make cloning `SessionState` faster by sharing most state behind an `Arc` [datafusion]
via GitHub
Re: [PR] perf: make cloning `SessionState` faster by sharing most state behind an `Arc` [datafusion]
via GitHub
Re: [PR] perf: make cloning `SessionState` faster by sharing most state behind an `Arc` [datafusion]
via GitHub
[PR] feat: project Spark 4 VARIANT columns in native Parquet scans [datafusion-comet]
via GitHub
Re: [PR] feat: project Spark 4 VARIANT columns in native Parquet scans [datafusion-comet]
via GitHub
Re: [PR] feat: project Spark 4 VARIANT columns in native Parquet scans [datafusion-comet]
via GitHub
Re: [PR] feat: project Spark 4 VARIANT columns in native Parquet scans [datafusion-comet]
via GitHub
Re: [PR] feat: project Spark 4 VARIANT columns in native Parquet scans [datafusion-comet]
via GitHub
Re: [PR] feat: project Spark 4 VARIANT columns in native Parquet scans [datafusion-comet]
via GitHub
Re: [PR] feat: project Spark 4 VARIANT columns in native Parquet scans [datafusion-comet]
via GitHub
Re: [PR] feat: project Spark 4 VARIANT columns in native Parquet scans [datafusion-comet]
via GitHub
Re: [I] Support additive schema evolution for `List<Struct>` / nested container types in Parquet scans [datafusion]
via GitHub
[PR] bench(functions-aggregate): add coalesce-peers first_value comparison [datafusion]
via GitHub
Re: [PR] bench(functions-aggregate): add coalesce-peers first_value comparison [datafusion]
via GitHub
Re: [PR] bench(functions-aggregate): add coalesce-peers first_value comparison [datafusion]
via GitHub
Re: [PR] bench(functions-aggregate): add coalesce-peers first_value comparison [datafusion]
via GitHub
Re: [PR] bench(functions-aggregate): benchmark coalescing peer first_value into a struct (#23682) [datafusion]
via GitHub
Re: [PR] bench(functions-aggregate): benchmark coalescing peer first_value into a struct (#23682) [datafusion]
via GitHub
Re: [PR] bench(functions-aggregate): benchmark coalescing peer first_value into a struct (#23682) [datafusion]
via GitHub
Re: [PR] bench(functions-aggregate): benchmark coalescing peer first_value into a struct (#23682) [datafusion]
via GitHub
Re: [PR] bench(functions-aggregate): benchmark coalescing peer first_value into a struct (#23682) [datafusion]
via GitHub
Re: [PR] bench(functions-aggregate): benchmark coalescing peer first_value into a struct (#23682) [datafusion]
via GitHub
Re: [PR] bench(functions-aggregate): benchmark coalescing peer first_value into a struct (#23682) [datafusion]
via GitHub
[PR] Keep the quoting and span of a function argument name [datafusion-sqlparser-rs]
via GitHub
Re: [PR] Keep the quoting and span of a function argument name [datafusion-sqlparser-rs]
via GitHub
[PR] Raise `hash_join_single_partition_threshold` to 4MB [datafusion]
via GitHub
Re: [PR] Raise `hash_join_single_partition_threshold` to 4MB [datafusion]
via GitHub
Re: [PR] Raise `hash_join_single_partition_threshold` to 4MB [datafusion]
via GitHub
Re: [PR] Raise `hash_join_single_partition_threshold` to 4MB [datafusion]
via GitHub
Re: [PR] Raise `hash_join_single_partition_threshold` to 4MB [datafusion]
via GitHub
Re: [PR] Raise `hash_join_single_partition_threshold` to 4MB [datafusion]
via GitHub
Re: [PR] Raise `hash_join_single_partition_threshold` to 4MB [datafusion]
via GitHub
Re: [PR] Raise `hash_join_single_partition_threshold` to 4MB [datafusion]
via GitHub
Re: [PR] Raise `hash_join_single_partition_threshold` to 4MB [datafusion]
via GitHub
Re: [PR] Raise `hash_join_single_partition_threshold` to 4MB [datafusion]
via GitHub
Re: [PR] Raise `hash_join_single_partition_threshold` to 4MB [datafusion]
via GitHub
Re: [PR] Raise `hash_join_single_partition_threshold` to 4MB [datafusion]
via GitHub
Re: [PR] Raise `hash_join_single_partition_threshold` to 4MB [datafusion]
via GitHub
Re: [I] [FEATURE] Shredded Parquet Reader/Writer support for Variant type [datafusion-comet]
via GitHub
[PR] chore(deps): bump actions/checkout from 6 to 7 [datafusion-comet]
via GitHub
Re: [PR] chore(deps): bump actions/checkout from 6 to 7 [datafusion-comet]
via GitHub
[PR] chore(deps): bump the codeql-actions group with 2 updates [datafusion-comet]
via GitHub
Re: [PR] chore(deps): bump the codeql-actions group with 2 updates [datafusion-comet]
via GitHub
[PR] docs: document negative n behavior for `nth_value` [datafusion]
via GitHub
Re: [PR] docs: document negative n behavior for `nth_value` [datafusion]
via GitHub
Re: [PR] docs: document negative n behavior for `nth_value` [datafusion]
via GitHub
Re: [PR] docs: document negative n behavior for `nth_value` [datafusion]
via GitHub
Re: [PR] bench(functions): Improve build time by reducing 63 `bench` targets into 9 [datafusion]
via GitHub
Re: [I] Improve the hash join performance by replacing the RawTable to a hash table that supports prefetching [datafusion]
via GitHub
[PR] fix: Support RANGE window frames over Time32/Time64 ORDER BY keys [datafusion]
via GitHub
Re: [PR] fix: Support RANGE window frames over Time32/Time64 ORDER BY keys [datafusion]
via GitHub
Re: [PR] fix: Support RANGE window frames over Time32/Time64 ORDER BY keys [datafusion]
via GitHub
[PR] chore: remove NowFunc::new [datafusion]
via GitHub
Re: [PR] chore: remove NowFunc::new [datafusion]
via GitHub
Re: [PR] chore: remove NowFunc::new [datafusion]
via GitHub
Re: [PR] chore: remove NowFunc::new [datafusion]
via GitHub
[PR] chore: remove ExecutionProps::start_execution [datafusion]
via GitHub
Re: [PR] chore: remove ExecutionProps::start_execution [datafusion]
via GitHub
Re: [PR] chore: remove ExecutionProps::start_execution [datafusion]
via GitHub
Re: [PR] chore: remove ExecutionProps::start_execution [datafusion]
via GitHub
[PR] chore: remove UserDefinedFunctionPlanner [datafusion]
via GitHub
Re: [PR] chore: remove UserDefinedFunctionPlanner [datafusion]
via GitHub
Re: [PR] chore: remove UserDefinedFunctionPlanner [datafusion]
via GitHub
Re: [PR] chore: remove UserDefinedFunctionPlanner [datafusion]
via GitHub
[PR] chore: remove DynEq and DynHash re-exports [datafusion]
via GitHub
Re: [PR] chore: remove DynEq and DynHash re-exports [datafusion]
via GitHub
Re: [PR] chore: remove DynEq and DynHash re-exports [datafusion]
via GitHub
[PR] chore: remove ExprSimplifier::simplify_with_cycle_count [datafusion]
via GitHub
Re: [PR] chore: remove ExprSimplifier::simplify_with_cycle_count [datafusion]
via GitHub
Re: [PR] chore: remove ExprSimplifier::simplify_with_cycle_count [datafusion]
via GitHub
Re: [PR] chore: remove ExprSimplifier::simplify_with_cycle_count [datafusion]
via GitHub
Re: [PR] chore: remove ExprSimplifier::simplify_with_cycle_count [datafusion]
via GitHub
[PR] chore: remove DisplayableExecutionPlan::to_stringified [datafusion]
via GitHub
Re: [PR] chore: remove DisplayableExecutionPlan::to_stringified [datafusion]
via GitHub
Re: [PR] chore: remove DisplayableExecutionPlan::to_stringified [datafusion]
via GitHub
Re: [PR] chore: remove DisplayableExecutionPlan::to_stringified [datafusion]
via GitHub
[PR] chore: remove get_statistics_with_limit [datafusion]
via GitHub
Re: [PR] chore: remove get_statistics_with_limit [datafusion]
via GitHub
Re: [PR] chore: remove get_statistics_with_limit [datafusion]
via GitHub
[PR] chore: remove ScalarValue::raw_data [datafusion]
via GitHub
Re: [PR] chore: remove ScalarValue::raw_data [datafusion]
via GitHub
Re: [PR] chore: remove ScalarValue::raw_data [datafusion]
via GitHub
Re: [PR] chore: remove ScalarValue::raw_data [datafusion]
via GitHub
[PR] test: strengthen signed-zero SQL assertions [datafusion-comet]
via GitHub
Re: [PR] test: strengthen signed-zero SQL assertions [datafusion-comet]
via GitHub
[PR] fix: honor strict floating-point mode for array extrema [datafusion-comet]
via GitHub
Re: [PR] fix: honor strict floating-point mode for array extrema [datafusion-comet]
via GitHub
Re: [PR] fix: honor strict floating-point mode for array extrema [datafusion-comet]
via GitHub
Re: [PR] fix: match Spark ordering in native array extrema [datafusion-comet]
via GitHub
Re: [I] Run rlike natively by default for patterns that are provably Java-regex equivalent [datafusion-comet]
via GitHub
[PR] chore(ci): bump taiki-e/install-action from 2.86.1 to 2.86.3 [datafusion-ballista]
via GitHub
Re: [PR] chore(ci): bump taiki-e/install-action from 2.86.1 to 2.86.3 [datafusion-ballista]
via GitHub
[PR] test: end-to-end regression tests for view array spill compaction (replaces #21325) [datafusion]
via GitHub
Re: [PR] test: end-to-end regression tests for view array spill compaction (replaces #21325) [datafusion]
via GitHub
Re: [PR] test: end-to-end regression tests for view array spill compaction (replaces #21325) [datafusion]
via GitHub
Re: [PR] test: end-to-end regression tests for view array spill compaction (replaces #21325) [datafusion]
via GitHub
Re: [PR] fix: flush FilterExec output on pending inut for unbounded inputs [datafusion]
via GitHub
Re: [PR] fix: flush FilterExec output on pending inut for unbounded inputs [datafusion]
via GitHub
Re: [PR] fix: flush FilterExec output on pending inut for unbounded inputs [datafusion]
via GitHub
Re: [PR] fix: flush FilterExec output on pending inut for unbounded inputs [datafusion]
via GitHub
Re: [PR] fix: flush FilterExec output on pending inut for unbounded inputs [datafusion]
via GitHub
Earlier messages
Later messages