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• • Re: [PR] fix: substring with negative start index [datafusion-comet] via GitHub
  • Re: [PR] fix: substring with negative start index [datafusion-comet] via GitHub
  • Re: [PR] fix: substring with negative start index [datafusion-comet] via GitHub
  • Re: [PR] fix: substring with negative start index [datafusion-comet] via GitHub
  • Re: [PR] fix: substring with negative start index [datafusion-comet] via GitHub
• Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
• [PR] perf: reduce per-node allocations in to_native_metric_node [datafusion-comet] via GitHub
  • Re: [PR] perf: reduce per-node allocations in to_native_metric_node [datafusion-comet] via GitHub
• Re: [I] Spark 4.0.x hive-1 jdk17 tests failing consistently in multiple PRs [datafusion-comet] via GitHub
• Re: [I] Spark 4.0 sql_hive-1: HiveUDFDynamicLoadSuite fails to load UDF classes from hive-contrib [datafusion-comet] via GitHub
• [I] Fix issues found when documenting current expression incompatibilities [datafusion-comet] via GitHub
  • Re: [I] Fix issues found when documenting current expression incompatibilities [datafusion-comet] via GitHub
• Re: [I] [EPIC] Fully support ANSI mode [datafusion-comet] via GitHub
  • Re: [I] [EPIC] Fully support ANSI mode [datafusion-comet] via GitHub
  • Re: [I] [EPIC] Fully support ANSI mode [datafusion-comet] via GitHub
  • Re: [I] [EPIC] Fully support ANSI mode [datafusion-comet] via GitHub
• Re: [PR] doc: update documentation for cast and datetime functions [datafusion-comet] via GitHub
• [I] Split proto serialization to encapsulate private state [datafusion] via GitHub
  • Re: [I] Split proto serialization to encapsulate private state [datafusion] via GitHub
  • Re: [I] Split proto serialization to encapsulate private state [datafusion] via GitHub
  • Re: [I] Split proto serialization to encapsulate private state [datafusion] via GitHub
  • Re: [I] Split proto serialization to encapsulate private state [datafusion] via GitHub
  • Re: [I] Split proto serialization to encapsulate private state [datafusion] via GitHub
  • Re: [I] Split proto serialization to encapsulate private state [datafusion] via GitHub
• Re: [PR] fix: scalar subquery pushdown and reuse for CometNativeScanExec (SPARK-43402) [datafusion-comet] via GitHub
• Re: [I] native_datafusion: scalar subquery pushdown does not produce ReusedSubqueryExec [datafusion-comet] via GitHub
• Re: [PR] chore: add internal markdown link check [datafusion] via GitHub
  • Re: [PR] chore: add internal markdown link check [datafusion] via GitHub
  • Re: [PR] chore: add internal markdown link check [datafusion] via GitHub
  • Re: [PR] chore: add internal markdown link check [datafusion] via GitHub
  • Re: [PR] chore: add internal markdown link check [datafusion] via GitHub
  • Re: [PR] chore: add internal markdown link check [datafusion] via GitHub
  • Re: [PR] chore: add internal markdown link check [datafusion] via GitHub
  • Re: [PR] chore: add internal markdown link check [datafusion] via GitHub
  • Re: [PR] chore: add internal markdown link check [datafusion] via GitHub
  • Re: [PR] chore: add internal markdown link check [datafusion] via GitHub
  • Re: [PR] chore: add internal markdown link check [datafusion] via GitHub
  • Re: [PR] chore: add internal markdown link check [datafusion] via GitHub
  • Re: [PR] chore: add internal markdown link check [datafusion] via GitHub
  • Re: [PR] chore: add internal markdown link check [datafusion] via GitHub
• Re: [PR] docs: add compatibility documentation to all expressions [datafusion-comet] via GitHub
  • Re: [PR] docs: add compatibility documentation to all expressions [datafusion-comet] via GitHub
  • Re: [PR] docs: add compatibility documentation to all expressions [datafusion-comet] via GitHub
  • Re: [PR] docs: add compatibility documentation to all expressions [datafusion-comet] via GitHub
  • Re: [PR] docs: add compatibility documentation to all expressions [datafusion-comet] via GitHub
  • Re: [PR] docs: add compatibility documentation to all expressions [datafusion-comet] via GitHub
  • Re: [PR] docs: add compatibility documentation to all expressions [datafusion-comet] via GitHub
  • Re: [PR] docs: add compatibility documentation to all expressions [datafusion-comet] via GitHub
  • Re: [PR] docs: add compatibility documentation to all expressions [datafusion-comet] via GitHub
  • Re: [PR] docs: add compatibility documentation to all expressions [datafusion-comet] via GitHub
  • Re: [PR] docs: add compatibility documentation to all expressions [datafusion-comet] via GitHub
  • Re: [PR] docs: add compatibility documentation to all expressions [datafusion-comet] via GitHub
  • Re: [PR] docs: add compatibility documentation to all expressions [datafusion-comet] via GitHub
  • Re: [PR] docs: add compatibility documentation to all expressions [datafusion-comet] via GitHub
• Re: [PR] perf: use fastrange instead of modulo for hash partition assignment (up to 1.15x improvement) [datafusion] via GitHub
  • Re: [PR] perf: use fastrange instead of modulo for hash partition assignment (up to 1.15x improvement) [datafusion] via GitHub
  • Re: [PR] perf: use fastrange instead of modulo for hash partition assignment (up to 1.15x improvement) [datafusion] via GitHub
  • Re: [PR] perf: use fastrange instead of modulo for hash partition assignment (up to 1.15x improvement) [datafusion] via GitHub
  • Re: [PR] perf: use fastrange instead of modulo for hash partition assignment (up to 1.15x improvement) [datafusion] via GitHub
  • Re: [PR] perf: use fastrange instead of modulo for hash partition assignment (up to 1.15x improvement) [datafusion] via GitHub
  • Re: [PR] perf: use fastrange instead of modulo for hash partition assignment (up to 1.15x improvement) [datafusion] via GitHub
  • Re: [PR] perf: use fastrange instead of modulo for hash partition assignment (up to 1.15x improvement) [datafusion] via GitHub
  • Re: [PR] perf: use fastrange instead of modulo for hash partition assignment (up to 1.15x improvement) [datafusion] via GitHub
  • Re: [PR] perf: use fastrange instead of modulo for hash partition assignment (up to 1.15x improvement) [datafusion] via GitHub
  • Re: [PR] perf: use fastrange instead of modulo for hash partition assignment (up to 1.15x improvement) [datafusion] via GitHub
  • Re: [PR] perf: use fastrange instead of modulo for hash partition assignment (up to 1.15x improvement) [datafusion] via GitHub
  • Re: [PR] perf: use fastrange instead of modulo for hash partition assignment (up to 1.15x improvement) [datafusion] via GitHub
  • Re: [PR] perf: use fastrange instead of modulo for hash partition assignment (up to 1.15x improvement) [datafusion] via GitHub
  • Re: [PR] perf: use fastrange instead of modulo for hash partition assignment (up to 1.15x improvement) [datafusion] via GitHub
  • Re: [PR] perf: use fastrange instead of modulo for hash partition assignment (up to 1.15x improvement) [datafusion] via GitHub
  • Re: [PR] perf: use fastrange instead of modulo for hash partition assignment (up to 1.15x improvement) [datafusion] via GitHub
  • Re: [PR] perf: use fastrange instead of modulo for hash partition assignment (up to 1.15x improvement) [datafusion] via GitHub
  • Re: [PR] perf: use fastrange instead of modulo for hash partition assignment (up to 1.15x improvement) [datafusion] via GitHub
  • Re: [PR] perf: use fastrange instead of modulo for hash partition assignment (up to 1.15x improvement) [datafusion] via GitHub
• Re: [PR] feat: Add TimestampNTZType support for unix_timestamp [datafusion-comet] via GitHub
  • Re: [PR] feat: Add TimestampNTZType support for unix_timestamp [datafusion-comet] via GitHub
• Re: [PR] test: re-enable sql_hive-1 for Spark 4.0 and fix two small failures [datafusion-comet] via GitHub
  • Re: [PR] test: re-enable sql_hive-1 for Spark 4.0 and fix two small failures [datafusion-comet] via GitHub
  • Re: [PR] test: re-enable sql_hive-1 for Spark 4.0 and fix two small failures [datafusion-comet] via GitHub
  • Re: [PR] test: re-enable sql_hive-1 for Spark 4.0 and fix two small failures [datafusion-comet] via GitHub
• Re: [I] [EPIC] Spark-compatible cast / try_cast operations [datafusion-comet] via GitHub
  • Re: [I] [EPIC] Spark-compatible cast / try_cast operations [datafusion-comet] via GitHub
  • Re: [I] [EPIC] Spark-compatible cast / try_cast operations [datafusion-comet] via GitHub
• Re: [I] Implement Spark-compatible CAST to/from TimestampNTZType [datafusion-comet] via GitHub
  • Re: [I] Implement Spark-compatible CAST to/from TimestampNTZType [datafusion-comet] via GitHub
• [PR] feat: support regular BuildRight+LeftAnti hash join [datafusion-comet] via GitHub
  • Re: [PR] feat: support regular BuildRight+LeftAnti hash join [datafusion-comet] via GitHub
  • Re: [PR] feat: support regular BuildRight+LeftAnti hash join [datafusion-comet] via GitHub
  • Re: [PR] feat: support regular BuildRight+LeftAnti hash join [datafusion-comet] via GitHub
  • Re: [PR] feat: support regular BuildRight+LeftAnti hash join [datafusion-comet] via GitHub
  • Re: [PR] feat: support regular BuildRight+LeftAnti hash join [datafusion-comet] via GitHub
  • Re: [PR] feat: support regular BuildRight+LeftAnti hash join [datafusion-comet] via GitHub
  • Re: [PR] feat: support regular BuildRight+LeftAnti hash join [datafusion-comet] via GitHub
  • Re: [PR] feat: support regular BuildRight+LeftAnti hash join [datafusion-comet] via GitHub
• [I] Metric reporting from native to JVM is a hot-path allocator / JNI bottleneck [datafusion-comet] via GitHub
  • Re: [I] Metric reporting from native to JVM is a hot-path allocator / JNI bottleneck [datafusion-comet] via GitHub
• Re: [PR] perf: Add bulk NULL-aware string builders, use in `lower` and `upper` [datafusion] via GitHub
  • Re: [PR] perf: Add bulk NULL-aware string builders, use in `lower` and `upper` [datafusion] via GitHub
  • Re: [PR] perf: Add bulk NULL-aware string builders, use in `lower` and `upper` [datafusion] via GitHub
  • Re: [PR] perf: Add bulk NULL-aware string builders, use in `lower` and `upper` [datafusion] via GitHub
  • Re: [PR] perf: Add bulk NULL-aware string builders, use in `lower` and `upper` [datafusion] via GitHub
  • Re: [PR] perf: Add bulk NULL-aware string builders, use in `lower` and `upper` [datafusion] via GitHub
  • Re: [PR] perf: Add bulk NULL-aware string builders, use in `lower` and `upper` [datafusion] via GitHub
• Re: [PR] perf: replace protobuf metric reporting with pre-allocated flat long[] array [datafusion-comet] via GitHub
  • Re: [PR] perf: replace protobuf metric reporting with pre-allocated flat long[] array [datafusion-comet] via GitHub
• Re: [PR] perf : experiment roaring bitmap for int32 anti and semi joins [datafusion] via GitHub
• Re: [PR] Gene.bordegaray/2026/04/partition routed dynamic filters [datafusion] via GitHub
  • Re: [PR] Gene.bordegaray/2026/04/partition routed dynamic filters [datafusion] via GitHub
  • Re: [PR] Gene.bordegaray/2026/04/partition routed dynamic filters [datafusion] via GitHub
  • Re: [PR] Gene.bordegaray/2026/04/partition routed dynamic filters [datafusion] via GitHub
  • Re: [PR] Gene.bordegaray/2026/04/partition routed dynamic filters [datafusion] via GitHub
• Re: [PR] perf: avoid redundant columnar shuffle when both parent and child are non-Comet [datafusion-comet] via GitHub
  • Re: [PR] perf: avoid redundant columnar shuffle when both parent and child are non-Comet [datafusion-comet] via GitHub
• Re: [PR] perf: Implement physical execution of uncorrelated scalar subqueries [datafusion] via GitHub
  • Re: [PR] perf: Implement physical execution of uncorrelated scalar subqueries [datafusion] via GitHub
  • Re: [PR] perf: Implement physical execution of uncorrelated scalar subqueries [datafusion] via GitHub
  • Re: [PR] perf: Implement physical execution of uncorrelated scalar subqueries [datafusion] via GitHub
  • Re: [PR] perf: Implement physical execution of uncorrelated scalar subqueries [datafusion] via GitHub
  • Re: [PR] perf: Implement physical execution of uncorrelated scalar subqueries [datafusion] via GitHub
  • Re: [PR] perf: Implement physical execution of uncorrelated scalar subqueries [datafusion] via GitHub
  • Re: [PR] perf: Implement physical execution of uncorrelated scalar subqueries [datafusion] via GitHub
  • Re: [PR] perf: Implement physical execution of uncorrelated scalar subqueries [datafusion] via GitHub
  • Re: [PR] perf: Implement physical execution of uncorrelated scalar subqueries [datafusion] via GitHub
  • Re: [PR] perf: Implement physical execution of uncorrelated scalar subqueries [datafusion] via GitHub
• Re: [PR] Skip RowFilter and page pruning for fully matched row groups [datafusion] via GitHub
  • Re: [PR] Skip RowFilter and page pruning for fully matched row groups [datafusion] via GitHub
  • Re: [PR] Skip RowFilter and page pruning for fully matched row groups [datafusion] via GitHub
  • Re: [PR] Skip RowFilter and page pruning for fully matched row groups [datafusion] via GitHub
  • Re: [PR] Skip RowFilter and page pruning for fully matched row groups [datafusion] via GitHub
  • Re: [PR] Skip RowFilter and page pruning for fully matched row groups [datafusion] via GitHub
  • Re: [PR] Skip RowFilter and page pruning for fully matched row groups [datafusion] via GitHub
  • Re: [PR] Skip RowFilter and page pruning for fully matched row groups [datafusion] via GitHub
  • Re: [PR] Skip RowFilter and page pruning for fully matched row groups [datafusion] via GitHub
  • Re: [PR] Skip RowFilter and page pruning for fully matched row groups [datafusion] via GitHub
  • Re: [PR] Skip RowFilter and page pruning for fully matched row groups [datafusion] via GitHub
  • Re: [PR] Skip RowFilter and page pruning for fully matched row groups [datafusion] via GitHub
  • Re: [PR] Skip RowFilter and page pruning for fully matched row groups [datafusion] via GitHub
  • Re: [PR] Skip RowFilter and page pruning for fully matched row groups [datafusion] via GitHub
  • Re: [PR] Skip RowFilter and page pruning for fully matched row groups [datafusion] via GitHub
  • Re: [PR] Skip RowFilter and page pruning for fully matched row groups [datafusion] via GitHub
  • Re: [PR] Skip RowFilter and page pruning for fully matched row groups [datafusion] via GitHub
  • Re: [PR] Skip RowFilter and page pruning for fully matched row groups [datafusion] via GitHub
  • Re: [PR] Skip RowFilter and page pruning for fully matched row groups [datafusion] via GitHub
  • Re: [PR] Skip RowFilter and page pruning for fully matched row groups [datafusion] via GitHub
  • Re: [PR] Skip RowFilter and page pruning for fully matched row groups [datafusion] via GitHub
  • Re: [PR] Skip RowFilter and page pruning for fully matched row groups [datafusion] via GitHub
  • Re: [PR] Skip RowFilter and page pruning for fully matched row groups [datafusion] via GitHub
• Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters v2 [datafusion] via GitHub
• Re: [PR] perf: implement convert_to_state for SparkAvg [datafusion] via GitHub
  • Re: [PR] perf: implement convert_to_state for SparkAvg [datafusion] via GitHub
  • Re: [PR] perf: implement convert_to_state for SparkAvg [datafusion] via GitHub
  • Re: [PR] perf: implement convert_to_state for SparkAvg [datafusion] via GitHub
  • Re: [PR] perf: implement convert_to_state for SparkAvg [datafusion] via GitHub

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