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• • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
• Re: [I] [EPIC] Split Aggregation Logic into Dedicated Streams [datafusion] via GitHub
  • Re: [I] [EPIC] Split Aggregation Logic into Dedicated Streams [datafusion] via GitHub
  • Re: [I] [EPIC] Split Aggregation Logic into Dedicated Streams [datafusion] via GitHub
  • Re: [I] [EPIC] Split Aggregation Logic into Dedicated Streams [datafusion] via GitHub
  • Re: [I] [EPIC] Split Aggregation Logic into Dedicated Streams [datafusion] via GitHub
  • Re: [I] [EPIC] Split Aggregation Logic into Dedicated Streams [datafusion] via GitHub
• Re: [PR] Add FixedSizeBinary support for MultiGroupBy [datafusion] via GitHub
  • Re: [PR] Add FixedSizeBinary support for MultiGroupBy [datafusion] via GitHub
  • Re: [PR] Add FixedSizeBinary support for MultiGroupBy [datafusion] via GitHub
  • Re: [PR] Add FixedSizeBinary support for MultiGroupBy [datafusion] via GitHub
  • Re: [PR] Add FixedSizeBinary support for MultiGroupBy [datafusion] via GitHub
• [PR] fix: nullability mismatch errors in aggregation when input batches are stricter than the plan schema [datafusion] via GitHub
  • Re: [PR] fix: nullability mismatch errors in aggregation when input batches are stricter than the plan schema [datafusion] via GitHub
  • Re: [PR] fix: nullability mismatch errors in aggregation when input batches are stricter than the plan schema [datafusion] via GitHub
  • Re: [PR] fix: nullability mismatch errors in aggregation when input batches are stricter than the plan schema [datafusion] via GitHub
• Re: [PR] physical-plan: coerce UNION/INTERLEAVE schema mismatches at plan time [datafusion] via GitHub
  • Re: [PR] physical-plan: coerce UNION/INTERLEAVE schema mismatches at plan time [datafusion] via GitHub
• [PR] perf: deduplicate hash join InList pushdown values [datafusion] via GitHub
  • Re: [PR] perf: deduplicate hash join InList pushdown values [datafusion] via GitHub
  • Re: [PR] perf: deduplicate hash join InList pushdown values [datafusion] via GitHub
  • Re: [PR] perf: deduplicate hash join InList pushdown values [datafusion] via GitHub
  • Re: [PR] perf: deduplicate hash join InList pushdown values [datafusion] via GitHub
  • Re: [PR] perf: deduplicate hash join InList pushdown values [datafusion] via GitHub
  • Re: [PR] perf: deduplicate hash join InList pushdown values [datafusion] via GitHub
  • Re: [PR] perf: deduplicate hash join InList pushdown values [datafusion] via GitHub
  • Re: [PR] perf: deduplicate hash join InList pushdown values [datafusion] via GitHub
  • Re: [PR] perf: deduplicate hash join InList pushdown values [datafusion] via GitHub
  • Re: [PR] perf: deduplicate hash join InList pushdown values [datafusion] via GitHub
• [PR] Split the partitioned hash join dynamic filter into bounds AND membership [datafusion] via GitHub
  • Re: [PR] Split the partitioned hash join dynamic filter into bounds AND membership [datafusion] via GitHub
  • Re: [PR] Split the partitioned hash join dynamic filter into bounds AND membership [datafusion] via GitHub
  • Re: [PR] Split the partitioned hash join dynamic filter into bounds AND membership [datafusion] via GitHub
  • Re: [PR] Split the partitioned hash join dynamic filter into bounds AND membership [datafusion] via GitHub
  • Re: [PR] Split the partitioned hash join dynamic filter into bounds AND membership [datafusion] via GitHub
  • Re: [PR] Split the partitioned hash join dynamic filter into bounds AND membership [datafusion] via GitHub
• Re: [PR] fix(proto): preserve AggregateExec schema and reversed state [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] [DISCUSSION] Add support for Spark Connect protocol [datafusion-ballista] via GitHub
  • Re: [I] [DISCUSSION] Add support for Spark Connect protocol [datafusion-ballista] via GitHub
• Re: [I] `AdaptivePlanner` uses `job_name` to identify jobs rather than `JobId` [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: 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: 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] docs: document Web TUI [datafusion-ballista] via GitHub
  • Re: [PR] docs: document Web TUI [datafusion-ballista] via GitHub
  • Re: [PR] docs: document Web TUI [datafusion-ballista] via GitHub
  • Re: [PR] docs: document Web TUI [datafusion-ballista] via GitHub
  • Re: [PR] docs: document Web TUI [datafusion-ballista] via GitHub
  • Re: [PR] docs: document Web TUI [datafusion-ballista] via GitHub
  • Re: [PR] docs: document Web TUI [datafusion-ballista] via GitHub
  • Re: [PR] docs: document Web TUI [datafusion-ballista] via GitHub
  • Re: [PR] docs: document Web TUI [datafusion-ballista] via GitHub
  • Re: [PR] docs: document Web TUI [datafusion-ballista] via GitHub
  • Re: [PR] docs: document Web TUI [datafusion-ballista] via GitHub
  • Re: [PR] docs: document Web TUI [datafusion-ballista] via GitHub
• [PR] feat(dataframe): add f16 support to dataframe! macro [datafusion] via GitHub
  • Re: [PR] feat(dataframe): add f16 support to dataframe! macro [datafusion] via GitHub
  • Re: [PR] feat(dataframe): add f16 support to dataframe! macro [datafusion] via GitHub
  • Re: [PR] feat(dataframe): add f16 support to dataframe! macro [datafusion] via GitHub
• Re: [I] Parquet filter pushdown silently drops a `get_field` predicate when the file needs schema adaptation (wrong results) [datafusion] via GitHub
• Re: [I] python build fails when updated to 54.1 [datafusion-ballista] via GitHub
• Re: [PR] feat: parallel BWAG for the range-window shape (h2o Q8) [datafusion-ballista] via GitHub
  • Re: [PR] feat: parallel BWAG for the range-window shape (h2o Q8) [datafusion-ballista] via GitHub
  • Re: [PR] feat: parallel BWAG for the range-window shape (h2o Q8) [datafusion-ballista] via GitHub
  • Re: [PR] feat: parallel BWAG for the range-window shape (h2o Q8) [datafusion-ballista] via GitHub
  • Re: [PR] feat: parallel BWAG for the range-window shape (h2o Q8) [datafusion-ballista] via GitHub
• Re: [PR] perf: optimize char -> byte offset mapping in `regexp_count` [datafusion] via GitHub
• [PR] fix(proto): preserve CSV/JSON scan options on roundtrip [datafusion] via GitHub
  • Re: [PR] fix(proto): preserve CSV/JSON scan options on roundtrip [datafusion] via GitHub
  • Re: [PR] fix(proto): preserve CSV/JSON scan options on roundtrip [datafusion] via GitHub
• Re: [I] EPIC: complete GroupValuesColumn type coverage (nested types + remaining primitives) [datafusion] via GitHub
  • Re: [I] EPIC: complete GroupValuesColumn type coverage (nested types + remaining primitives) [datafusion] via GitHub
  • Re: [I] EPIC: complete GroupValuesColumn type coverage (nested types + remaining primitives) [datafusion] via GitHub
  • Re: [I] EPIC: complete GroupValuesColumn type coverage (nested types + remaining primitives) [datafusion] via GitHub
  • Re: [I] EPIC: complete GroupValuesColumn type coverage (nested types + remaining primitives) [datafusion] via GitHub
• Re: [PR] fix: retain every spill of a sort merge join inner key group [datafusion] via GitHub
• Re: [PR] variant: Integrate datafusion-variant into Datafusion [datafusion] via GitHub
• Re: [PR] perf: prune window state only for partitions that made progress [datafusion] via GitHub
  • Re: [PR] perf: prune window state only for partitions that made progress [datafusion] via GitHub
  • Re: [PR] perf: prune window state only for partitions that made progress [datafusion] via GitHub
  • Re: [PR] perf: prune window state only for partitions that made progress [datafusion] via GitHub
• Re: [PR] perf: skip evaluating fully calculated window partitions [datafusion] via GitHub
  • Re: [PR] perf: skip evaluating fully calculated window partitions [datafusion] via GitHub
  • Re: [PR] perf: skip evaluating fully calculated window partitions [datafusion] via GitHub
  • Re: [PR] perf: skip evaluating fully calculated window partitions [datafusion] via GitHub
• Re: [PR] perf: Optimize semi-, anti-join implementation using existence probes [datafusion] via GitHub
  • Re: [PR] perf: Optimize semi-, anti-join implementation using existence probes [datafusion] via GitHub
  • Re: [PR] perf: Optimize semi-, anti-join implementation using existence probes [datafusion] via GitHub
  • Re: [PR] perf: Optimize semi-, anti-join implementation using existence probes [datafusion] via GitHub
• Re: [I] [DISCUSSION] Adopt datafusion-functions-json and datafusion-variant into core repo [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Adopt datafusion-functions-json and datafusion-variant into core repo [datafusion] via GitHub
• Re: [PR] Resolve page pruning `StatisticsConverter` once per file instead of once per row group [datafusion] via GitHub
  • Re: [PR] Resolve page pruning `StatisticsConverter` once per file instead of once per row group [datafusion] via GitHub
  • Re: [PR] Resolve page pruning `StatisticsConverter` once per file instead of once per row group [datafusion] via GitHub
  • Re: [PR] Resolve page pruning `StatisticsConverter` once per file instead of once per row group [datafusion] via GitHub
  • Re: [PR] Resolve page pruning `StatisticsConverter` once per file instead of once per row group [datafusion] via GitHub
  • Re: [PR] Resolve page pruning `StatisticsConverter` once per file instead of once per row group [datafusion] via GitHub
• [I] feat(dataframe): add f16 support to dataframe! macro [datafusion] via GitHub
  • Re: [I] feat(dataframe): add f16 support to dataframe! macro [datafusion] via GitHub
  • Re: [I] feat(dataframe): add f16 support to dataframe! macro [datafusion] via GitHub
• Re: [I] Avoid recompute CTEs (common table expressions) / share input plans [datafusion] via GitHub
  • Re: [I] Avoid recompute CTEs (common table expressions) / share input plans [datafusion] via GitHub
• [PR] fix(scheduler): default no-executors grace to executor timeout (>= heartbeat) [datafusion-ballista] via GitHub
  • Re: [PR] fix(scheduler): default no-executors grace to executor timeout (>= heartbeat) [datafusion-ballista] via GitHub
  • Re: [PR] fix(scheduler): default no-executors grace to executor timeout (>= heartbeat) [datafusion-ballista] via GitHub
  • Re: [PR] fix(scheduler): default no-executors grace to executor timeout (>= heartbeat) [datafusion-ballista] via GitHub
  • Re: [PR] fix(scheduler): default no-executors grace to executor timeout (>= heartbeat) [datafusion-ballista] via GitHub
  • Re: [PR] fix(scheduler): default no-executors grace to executor timeout (>= heartbeat) [datafusion-ballista] via GitHub
  • Re: [PR] fix(scheduler): default no-executors grace to executor timeout (>= heartbeat) [datafusion-ballista] via GitHub
  • Re: [PR] fix(scheduler): default no-executors grace to executor timeout (>= heartbeat) [datafusion-ballista] via GitHub
  • Re: [PR] fix(scheduler): default no-executors grace to executor timeout (>= heartbeat) [datafusion-ballista] via GitHub
• Re: [I] Call for Presentations: Community Showcase: Regular series for sharing what you're building with DataFusion [datafusion] via GitHub
• Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
• [PR] fix(scheduler): key AQE shuffle output by job_id [datafusion-ballista] via GitHub
  • Re: [PR] fix(scheduler): key AQE shuffle output by job_id [datafusion-ballista] via GitHub
• Re: [PR] feat(parquet): implement file commit protocol for native Parquet writes [datafusion-comet] via GitHub
• [PR] fix: preserve required ordering in limit pushdown [datafusion] via GitHub
  • Re: [PR] fix: preserve required ordering in limit pushdown [datafusion] via GitHub
  • Re: [PR] fix: preserve required ordering in limit pushdown [datafusion] via GitHub
  • Re: [PR] fix: preserve required ordering in limit pushdown [datafusion] via GitHub
  • Re: [PR] fix: preserve required ordering in limit pushdown [datafusion] via GitHub
  • Re: [PR] fix: preserve required ordering in limit pushdown [datafusion] via GitHub
  • Re: [PR] fix: preserve required ordering in limit pushdown [datafusion] via GitHub
  • Re: [PR] fix: preserve required ordering in limit pushdown [datafusion] via GitHub
  • Re: [PR] fix: preserve required ordering in limit pushdown [datafusion] via GitHub
• Re: [PR] fix: format Bytes-category custom metrics with byte units [datafusion] via GitHub
  • Re: [PR] fix: format Bytes-category custom metrics with byte units [datafusion] via GitHub
  • Re: [PR] fix: format Bytes-category custom metrics with byte units [datafusion] via GitHub
  • Re: [PR] fix: format Bytes-category custom metrics with byte units [datafusion] via GitHub
  • Re: [PR] fix: format Bytes-category custom metrics with byte units [datafusion] via GitHub
  • Re: [PR] fix: format Bytes-category custom metrics with byte units [datafusion] via GitHub
  • Re: [PR] fix: format Bytes-category custom metrics with byte units [datafusion] via GitHub
• [I] DiskManager disk-usage counter does not return to zero after a `max_temp_directory_size` error [datafusion] via GitHub
  • Re: [I] DiskManager disk-usage counter does not return to zero after a `max_temp_directory_size` error [datafusion] via GitHub
  • Re: [I] DiskManager disk-usage counter does not return to zero after a `max_temp_directory_size` error [datafusion] via GitHub
• Re: [PR] Honour operator precedence in `IS [NOT] DISTINCT FROM` [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Honour operator precedence in `IS [NOT] DISTINCT FROM` [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Honour operator precedence in `IS [NOT] DISTINCT FROM` [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Honour operator precedence in `IS [NOT] DISTINCT FROM` [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Honour operator precedence in `IS [NOT] DISTINCT FROM` [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Honour operator precedence in `IS [NOT] DISTINCT FROM` [datafusion-sqlparser-rs] via GitHub
• Re: [PR] fix: clear stale sliding aggregate state for empty RANGE frames [datafusion] via GitHub
• Re: [I] Sliding RANGE aggregates retain stale state after an empty frame [datafusion] via GitHub
• Re: [I] Support fully-native multi-stage (distinct-combined) collect_list / collect_set [datafusion-comet] via GitHub
• [PR] fix: account for Arrow bytes map hash table allocations [datafusion] via GitHub
  • Re: [PR] fix: account for Arrow bytes map hash table allocations [datafusion] via GitHub
  • Re: [PR] fix: account for Arrow bytes map hash table allocations [datafusion] via GitHub
  • Re: [PR] fix: account for Arrow bytes map hash table allocations [datafusion] via GitHub
  • Re: [PR] fix: account for Arrow bytes map hash table allocations [datafusion] via GitHub
  • Re: [PR] fix: account for Arrow bytes map hash table allocations [datafusion] via GitHub
• Re: [PR] feat: pluggable job id generator [datafusion-ballista] via GitHub
  • Re: [PR] feat: pluggable job id generator [datafusion-ballista] via GitHub
  • Re: [PR] feat: pluggable job id generator [datafusion-ballista] via GitHub
  • Re: [PR] feat: pluggable job id generator [datafusion-ballista] via GitHub
  • Re: [PR] feat: pluggable job id generator [datafusion-ballista] via GitHub
  • Re: [PR] feat: pluggable job id generator [datafusion-ballista] via GitHub

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