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• Re: [PR] build(deps): bump github/codeql-action/analyze from 4.36.2 to 4.37.4 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump github/codeql-action/analyze from 4.36.2 to 4.37.4 [datafusion-python] via GitHub
• [PR] Fixed where binary expressions were passed in the wrong order when the null directions differed [datafusion] via GitHub
  • Re: [PR] fix: consider nulls_first when propagating ordered SortProperties [datafusion] via GitHub
  • Re: [PR] fix: consider nulls_first when propagating ordered SortProperties [datafusion] via GitHub
  • Re: [PR] fix: consider nulls_first when propagating ordered SortProperties [datafusion] via GitHub
  • Re: [PR] fix: consider nulls_first when propagating ordered SortProperties [datafusion] via GitHub
• [PR] perf: optimize string contains function [datafusion-comet] via GitHub
• [I] SortProperties::and_or claims orderings that Kleene AND/OR do not preserve [datafusion] via GitHub
  • Re: [I] SortProperties::and_or claims orderings that Kleene AND/OR do not preserve [datafusion] via GitHub
• [PR] fix(proto): preserve AggregateExec schema and reversed state [datafusion] via GitHub
  • Re: [PR] fix(proto): preserve AggregateExec schema and reversed state [datafusion] via GitHub
  • Re: [PR] fix(proto): preserve AggregateExec schema and reversed state [datafusion] via GitHub
  • Re: [PR] fix(proto): preserve AggregateExec schema and reversed state [datafusion] via GitHub
• [PR] Restore the From / TryFrom proto conversions dropped since 54.1.0 [datafusion] via GitHub
  • Re: [PR] Restore the From / TryFrom proto conversions dropped since 54.1.0 [datafusion] via GitHub
  • Re: [PR] Restore the From / TryFrom proto conversions dropped since 54.1.0 [datafusion] via GitHub
  • Re: [PR] Restore the From / TryFrom proto conversions dropped since 54.1.0 [datafusion] via GitHub
  • Re: [PR] Restore the From / TryFrom proto conversions dropped since 54.1.0 [datafusion] via GitHub
  • Re: [PR] Restore the From / TryFrom proto conversions dropped since 54.1.0 [datafusion] via GitHub
  • Re: [PR] Restore the From / TryFrom proto conversions dropped since 54.1.0 [datafusion] via GitHub
  • Re: [PR] Restore the From / TryFrom proto conversions dropped since 54.1.0 [datafusion] via GitHub
  • Re: [PR] Restore the From / TryFrom proto conversions dropped since 54.1.0 [datafusion] via GitHub
  • Re: [PR] Restore the From / TryFrom proto conversions dropped since 54.1.0 [datafusion] via GitHub
• Re: [PR] Perf: remove extra allocations for hex operations [datafusion] via GitHub
• [PR] fix: [branch-1.0] backport four bug fixes for 1.0.1 [datafusion-comet] via GitHub
  • Re: [PR] fix: [branch-1.0] backport four bug fixes for 1.0.1 [datafusion-comet] via GitHub
• [PR] Add Ballista 54.1.0 release announcement blog post [datafusion-site] via GitHub
  • Re: [PR] Add Ballista 54.1.0 release announcement blog post [datafusion-site] via GitHub
• Re: [I] Propagation of ordered `SortProperties` should consider `nulls_first` [datafusion] via GitHub
  • Re: [I] Propagation of ordered `SortProperties` should consider `nulls_first` [datafusion] via GitHub
• [PR] feat(scheduler): add the history server [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): add the history server [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): add the history server [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): add the history server [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): add the history server [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): add the history server [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): add the history server [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): add the history server [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): add the history server [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): add the history server [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): add the history server [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): add the history server [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): add the history server [datafusion-ballista] via GitHub
• Re: [PR] Reduce per-file metadata overhead for wide-schema parquet scans [datafusion] via GitHub
  • Re: [PR] Reduce per-file metadata overhead for wide-schema parquet scans [datafusion] via GitHub
• Re: [I] [EPIC] Merge EnforceDistribution + EnforceSorting into a single EnsureRequirements rule for correctness and idempotency [datafusion] via GitHub
  • Re: [I] [EPIC] Merge EnforceDistribution + EnforceSorting into a single EnsureRequirements rule for correctness and idempotency [datafusion] via GitHub
• [PR] feat(scheduler): record a per-job event log behind --event-log-dir [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): record a per-job event log behind --event-log-dir [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): record a per-job event log behind --event-log-dir [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): record a per-job event log behind --event-log-dir [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): record a per-job event log behind --event-log-dir [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): record a per-job event log behind --event-log-dir [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): record a per-job event log behind --event-log-dir [datafusion-ballista] via GitHub
• [I] Add wrapper classes for Expression types [datafusion-python] via GitHub
• [PR] fix: reject max_buffered_batches_per_output_file values below 2 [datafusion] via GitHub
  • Re: [PR] fix: reject max_buffered_batches_per_output_file values below 2 [datafusion] via GitHub
  • Re: [PR] fix: reject max_buffered_batches_per_output_file values below 2 [datafusion] via GitHub
  • Re: [PR] fix: reject max_buffered_batches_per_output_file values below 2 [datafusion] via GitHub
  • Re: [PR] fix: reject max_buffered_batches_per_output_file values below 2 [datafusion] via GitHub
• [I] Inconsistent Explain units [datafusion] via GitHub
  • Re: [I] Inconsistent Explain units [datafusion] via GitHub
  • Re: [I] Inconsistent Explain units [datafusion] via GitHub
• [I] `AggregateExec` physical-plan serde rebuilds the output schema, losing optimizer-preserved field names (and `is_reversed`) [datafusion] via GitHub
  • Re: [I] `AggregateExec` physical-plan serde rebuilds the output schema, losing optimizer-preserved field names (and `is_reversed`) [datafusion] via GitHub
  • Re: [I] `AggregateExec` physical-plan serde rebuilds the output schema, losing optimizer-preserved field names (and `is_reversed`) [datafusion] via GitHub
• Re: [I] Select with order by from empty table triggers SanityCheckPlan error [datafusion] via GitHub
• Re: [PR] fix: preserve input ordering required by limits [datafusion] via GitHub
• Re: [I] Fail to merge schema field for partitioned table with dict [datafusion] via GitHub
  • Re: [I] Fail to merge schema field for partitioned table with dict [datafusion] via GitHub
• [PR] feat: add literal constraints to type signatures [datafusion] via GitHub
  • Re: [PR] feat: add literal constraints to type signatures [datafusion] via GitHub
  • Re: [PR] feat: add literal constraints to type signatures [datafusion] via GitHub
  • Re: [PR] feat: add literal constraints to type signatures [datafusion] via GitHub
• Re: [I] [Bug] next_day returns NULL for far-future start dates where Spark returns a value [datafusion] via GitHub
• [PR] fix: scope information schema to catalog [datafusion] via GitHub
  • Re: [PR] fix: scope information schema to catalog [datafusion] via GitHub
  • Re: [PR] fix: scope information schema to catalog [datafusion] via GitHub
• Re: [PR] IN LIST: add keyed frozen set for large primitive lists [datafusion] via GitHub
• Re: [PR] IN LIST: optimize Utf8View and BinaryView filters [datafusion] via GitHub
• Re: [I] information_schema.tables contains all tables from all catalogs instead of current catalog [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
  • 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
• [PR] test: add UnionArray hashing SQL coverage. [datafusion] via GitHub
  • Re: [PR] test: add UnionArray hashing SQL coverage. [datafusion] via GitHub
  • Re: [PR] test: add UnionArray hashing SQL coverage. [datafusion] via GitHub
  • Re: [PR] test: add UnionArray hashing SQL coverage. [datafusion] via GitHub
  • Re: [PR] test: add UnionArray hashing SQL coverage. [datafusion] via GitHub
• Re: [I] Add `UnionArray` tests exercising hashing, group-by, distinct, and aggregates [datafusion] via GitHub
  • Re: [I] Add `UnionArray` tests exercising hashing, group-by, distinct, and aggregates [datafusion] via GitHub
• [PR] fix: return error instead of panic when decoding ParquetScan/AvroScan without features [datafusion] via GitHub
  • Re: [PR] fix: return error instead of panic when decoding ParquetScan/AvroScan without features [datafusion] via GitHub
  • Re: [PR] fix: return error instead of panic when decoding ParquetScan/AvroScan without features [datafusion] via GitHub
  • Re: [PR] fix: return error instead of panic when decoding ParquetScan/AvroScan without features [datafusion] via GitHub
• [I] Decoding a ParquetScan/AvroScan physical plan panics when the feature is disabled, instead of returning an error [datafusion] via GitHub
  • Re: [I] Decoding a ParquetScan/AvroScan physical plan panics when the feature is disabled, instead of returning an error [datafusion] via GitHub
  • Re: [I] Decoding a ParquetScan/AvroScan physical plan panics when the feature is disabled, instead of returning an error [datafusion] via GitHub
• [I] Arrow IPC stream format is silently lost when a scan is serialized to protobuf [datafusion] via GitHub
  • Re: [I] Arrow IPC stream format is silently lost when a scan is serialized to protobuf [datafusion] via GitHub
• Re: [PR] docs: fix optimizer rule reference link in documentation [datafusion] via GitHub
• Re: [PR] feat(lambda): support map non empty nulls cleanup for `HigherOrderFunctionExpr` [datafusion] via GitHub
• Re: [PR] Optimize existence-only right semi and anti joins [datafusion] via GitHub
• [PR] feat: add basic MemTable MERGE INTO support [datafusion] via GitHub
  • Re: [PR] feat: add basic MemTable MERGE INTO support [datafusion] via GitHub
• [PR] Brent/query shape viz [datafusion-ballista] via GitHub
• [PR] feat: recognize SparkCopyOnWriteScan as a native Iceberg scan [datafusion-comet] via GitHub
• [I] Support Iceberg `SparkCopyOnWriteScan` in `IcebergReflection.ICEBERG_SCAN_CLASSES` [datafusion-comet] via GitHub
• [PR] feat: add native support for MergeRowsExec (row-level MERGE INTO) [datafusion-comet] via GitHub
  • Re: [PR] feat: add native support for MergeRowsExec (row-level MERGE INTO) [datafusion-comet] via GitHub
  • Re: [PR] feat: add native support for MergeRowsExec (row-level MERGE INTO) [datafusion-comet] via GitHub
• [PR] fix: prevent next_day panic on far-future start dates [datafusion] via GitHub
  • Re: [PR] fix: prevent next_day panic on far-future start dates [datafusion] via GitHub
  • Re: [PR] fix: prevent next_day panic on far-future start dates [datafusion] via GitHub
  • Re: [PR] fix: prevent next_day panic on far-future start dates [datafusion] via GitHub
• [PR] feat(core): RangeFilterExec — sorted-input per-partition range filter (purely additive) [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): RangeFilterExec — sorted-input per-partition range filter (purely additive) [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): RangeFilterExec — sorted-input per-partition range filter (purely additive) [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): RangeFilterExec — sorted-input per-partition range filter (purely additive) [datafusion-ballista] via GitHub
• Re: [PR] perf: resolve parquet leaf columns in O(1) during statistics collection [datafusion] via GitHub
  • Re: [PR] perf: resolve parquet leaf columns in O(1) during statistics collection [datafusion] via GitHub
• [PR] fix: avoid buffering unbounded repartition output indefinitely [datafusion] via GitHub
  • Re: [PR] fix: avoid buffering unbounded repartition output indefinitely [datafusion] via GitHub
  • Re: [PR] fix: avoid buffering unbounded repartition output indefinitely [datafusion] via GitHub
  • Re: [PR] fix: avoid buffering unbounded repartition output indefinitely [datafusion] via GitHub
  • Re: [PR] fix: avoid buffering unbounded repartition output indefinitely [datafusion] via GitHub
  • Re: [PR] fix: avoid buffering unbounded repartition output indefinitely [datafusion] via GitHub
• [PR] minor(test): strengthen bitwise sort-merge join spill coverage [datafusion] via GitHub
  • Re: [PR] minor(test): strengthen bitwise sort-merge join spill coverage [datafusion] via GitHub
• [PR] chore: moving WindowTopN before EnsureRequirements [datafusion] via GitHub
  • Re: [PR] refactor: moving WindowTopN before EnsureRequirements [datafusion] via GitHub
  • Re: [PR] refactor: moving WindowTopN before EnsureRequirements [datafusion] via GitHub
  • Re: [PR] refactor: moving WindowTopN before EnsureRequirements [datafusion] via GitHub
  • Re: [PR] refactor: moving WindowTopN before EnsureRequirements [datafusion] via GitHub
• [I] refactor: centralize Spark-to-Arrow batch encoding in ArrowWriter [datafusion-comet] via GitHub
  • Re: [I] refactor: centralize Spark-to-Arrow batch encoding in ArrowWriter [datafusion-comet] via GitHub
• [PR] docs: correct Spark 4.2 version and CI test status in installation guide (branch-1.0) [datafusion-comet] via GitHub
  • Re: [PR] docs: correct Spark 4.2 version and CI test status in installation guide (branch-1.0) [datafusion-comet] via GitHub
• [PR] docs: correct Spark 4.2 version and CI test status in installation guide [datafusion-comet] via GitHub
  • Re: [PR] docs: correct Spark 4.2 version and CI test status in installation guide [datafusion-comet] via GitHub
• [PR] feat: support S3 compliant filesystems [datafusion-comet] via GitHub
• [I] Support S3-compliant object stores [datafusion-comet] via GitHub
• [PR] refactor(proto): migrate ArrowSource serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate ArrowSource serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate ArrowSource serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate ArrowSource serde [datafusion] via GitHub
• [PR] refactor(proto): migrate AvroSource serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate AvroSource serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate AvroSource serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate AvroSource serde [datafusion] via GitHub
• Re: [PR] fix: native ansi-errors raised as spark error [datafusion-comet] via GitHub
• [I] Agree and document cross-version compatibility guarantees for Ballista's three versioned surfaces [datafusion-ballista] via GitHub
  • Re: [I] Agree and document cross-version compatibility guarantees for Ballista's three versioned surfaces [datafusion-ballista] via GitHub
  • Re: [I] Agree and document cross-version compatibility guarantees for Ballista's three versioned surfaces [datafusion-ballista] via GitHub
  • Re: [I] Agree and document cross-version compatibility guarantees for Ballista's three versioned surfaces [datafusion-ballista] via GitHub
• Re: [PR] perf: optimize list_extract without defaults using Arrow take [datafusion-comet] via GitHub
• [PR] feat(history): add the event-log schema, writer, and reader [datafusion-ballista] via GitHub
  • Re: [PR] feat(history): add the event-log schema, writer, and reader [datafusion-ballista] via GitHub
  • Re: [PR] feat(history): add the event-log schema, writer, and reader [datafusion-ballista] via GitHub
• [PR] feat: add aggregate observability counters to the cache layer [datafusion] via GitHub
  • Re: [PR] feat: add aggregate observability counters to the cache layer [datafusion] via GitHub
• [I] Normalize signed zero in collect_set on Spark 3.4 through 4.1 [datafusion-comet] via GitHub
  • Re: [I] Evaluate extending collect_set input normalization to Spark 3.4 through 4.1 [datafusion-comet] via GitHub
• [PR] fix(tui): use the shared API wire types instead of local copies [datafusion-ballista] via GitHub
  • Re: [PR] fix(tui): use the shared API wire types instead of local copies [datafusion-ballista] via GitHub
  • Re: [PR] fix(tui): use the shared API wire types instead of local copies [datafusion-ballista] via GitHub
• [I] TUI's duplicated API response types have drifted from the scheduler, breaking the stages popup [datafusion-ballista] via GitHub
  • Re: [I] TUI's duplicated API response types have drifted from the scheduler, breaking the stages popup [datafusion-ballista] via GitHub
• [PR] Proto: migrate MemorySourceConfig to per-source try_to_proto / try_from_proto hooks [datafusion] via GitHub
  • Re: [PR] Proto: migrate MemorySourceConfig to per-source try_to_proto / try_from_proto hooks [datafusion] via GitHub
  • Re: [PR] Proto: migrate MemorySourceConfig to per-source try_to_proto / try_from_proto hooks [datafusion] via GitHub
  • Re: [PR] Proto: migrate MemorySourceConfig to per-source try_to_proto / try_from_proto hooks [datafusion] via GitHub
  • Re: [PR] Proto: migrate MemorySourceConfig to per-source try_to_proto / try_from_proto hooks [datafusion] via GitHub
  • Re: [PR] Proto: migrate MemorySourceConfig to per-source try_to_proto / try_from_proto hooks [datafusion] via GitHub
  • Re: [PR] Proto: migrate MemorySourceConfig to per-source try_to_proto / try_from_proto hooks [datafusion] via GitHub
• [PR] refactor(scheduler): extract REST DTOs into ballista-history and factor out dto_build [datafusion-ballista] via GitHub
  • Re: [PR] refactor(scheduler): extract REST API wire types into ballista-api-types [datafusion-ballista] via GitHub
  • Re: [PR] refactor(scheduler): extract REST API wire types into ballista-api-types [datafusion-ballista] via GitHub
• Re: [PR] perf: skip DecimalPrecision.promote's rewrite when there is no decimal arithmetic [datafusion-comet] via GitHub
• Re: [PR] feat: Add Iceberg Support [datafusion-ballista] via GitHub
  • Re: [PR] feat: Add Iceberg Support [datafusion-ballista] via GitHub
• [PR] feat: preserve bitmap-backed RowSelection through ParquetAccessPlan [datafusion] via GitHub
  • Re: [PR] feat: preserve bitmap-backed RowSelection through ParquetAccessPlan [datafusion] via GitHub
  • Re: [PR] feat: preserve bitmap-backed RowSelection through ParquetAccessPlan [datafusion] via GitHub
  • Re: [PR] feat: preserve bitmap-backed RowSelection through ParquetAccessPlan [datafusion] via GitHub
  • Re: [PR] feat: preserve bitmap-backed RowSelection through ParquetAccessPlan [datafusion] via GitHub
  • Re: [PR] feat: preserve bitmap-backed RowSelection through ParquetAccessPlan [datafusion] via GitHub
  • Re: [PR] feat: preserve bitmap-backed RowSelection through ParquetAccessPlan [datafusion] via GitHub
  • Re: [PR] feat: preserve bitmap-backed RowSelection through ParquetAccessPlan [datafusion] via GitHub
  • Re: [PR] feat: preserve bitmap-backed RowSelection through ParquetAccessPlan [datafusion] via GitHub
  • Re: [PR] feat: preserve bitmap-backed RowSelection through ParquetAccessPlan [datafusion] via GitHub
  • Re: [PR] feat: preserve bitmap-backed RowSelection through ParquetAccessPlan [datafusion] via GitHub
  • Re: [PR] feat: preserve bitmap-backed RowSelection through ParquetAccessPlan [datafusion] via GitHub
  • Re: [PR] feat: preserve bitmap-backed RowSelection through ParquetAccessPlan [datafusion] via GitHub
• Re: [PR] feat(core): scaffold PrefixMergeExec for cross-partition windowed-aggregate state merge [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): scaffold PrefixMergeExec for cross-partition windowed-aggregate state merge [datafusion-ballista] via GitHub
• [PR] feat(core): RangeShuffleReaderExec — ordering-preserving shuffle reader (purely additive) [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): RangeShuffleReaderExec — ordering-preserving shuffle reader (purely additive) [datafusion-ballista] via GitHub

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