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• Re: [PR] [EPIC/reference] Port ExecutionPlan serialization to try_to_proto / try_from_proto hooks (full) [datafusion] via GitHub
  • Re: [PR] [EPIC/reference] Port ExecutionPlan serialization to try_to_proto / try_from_proto hooks (full) [datafusion] via GitHub
• Re: [PR] refactor(hash-aggr): Support spilling for `partial` and `final` mode aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Support spilling for `partial` and `final` mode aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Support spilling for `partial` and `final` mode aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Support spilling for `partial` and `final` mode aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Support spilling for `partial` and `final` mode aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Support spilling for `partial` and `final` mode aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Support spilling for `partial` and `final` mode aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Support spilling for `partial` and `final` mode aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Support spilling for `partial` and `final` mode aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Support spilling for `partial` and `final` mode aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Support spilling for `partial` and `final` mode aggregation [datafusion] via GitHub
• Re: [I] CLI (non criterion) interface for sql runner [datafusion] via GitHub
  • Re: [I] CLI (non criterion) interface for sql runner [datafusion] via GitHub
  • Re: [I] CLI (non criterion) interface for sql runner [datafusion] via GitHub
  • Re: [I] CLI (non criterion) interface for sql runner [datafusion] via GitHub
• [I] Remove orphaned files in comet iceberg split writers [datafusion-comet] via GitHub
• Re: [PR] Add support for running sql benchmarks with command line arguments [datafusion] via GitHub
  • Re: [PR] Add support for running sql benchmarks with command line arguments [datafusion] via GitHub
  • Re: [PR] Add support for running sql benchmarks with command line arguments [datafusion] via GitHub
  • Re: [PR] Add support for running sql benchmarks with command line arguments [datafusion] via GitHub
• Re: [PR] fix: skip null slots when checking overflow in unary negation [datafusion-comet] via GitHub
  • Re: [PR] fix: skip null slots when checking overflow in unary negation [datafusion-comet] via GitHub
  • Re: [PR] fix: skip null slots when checking overflow in unary negation [datafusion-comet] via GitHub
  • Re: [PR] fix: skip null slots when checking overflow in unary negation [datafusion-comet] via GitHub
• Re: [PR] Proto: add DataSink serialization hook [datafusion] via GitHub
  • Re: [PR] Proto: add DataSink serialization hook [datafusion] via GitHub
  • Re: [PR] Proto: add DataSink serialization hook [datafusion] via GitHub
  • Re: [PR] Proto: add DataSink serialization hook [datafusion] via GitHub
  • Re: [PR] Proto: add DataSink serialization hook [datafusion] via GitHub
• Re: [I] Optimize hash operations and byte-wise row comparisons for dictionary encoding [datafusion] via GitHub
• Re: [PR] feat(functions): re-expose string builder API for concat [datafusion] via GitHub
  • Re: [PR] feat(functions): re-expose string builder API for concat [datafusion] via GitHub
• [I] Add physical plan optimization to decide dictionary encoding [datafusion] via GitHub
  • Re: [I] Add physical plan optimization to decide dictionary encoding [datafusion] via GitHub
• [I] Derive per-query aggregation-heaviness + NDV metadata [datafusion] via GitHub
• [PR] refactor: Refactor numeric sign and padding in Spark format_string [datafusion] via GitHub
  • Re: [PR] refactor: Refactor numeric sign and padding in Spark format_string [datafusion] via GitHub
  • Re: [PR] refactor: Refactor numeric sign and padding in Spark format_string [datafusion] via GitHub
  • Re: [PR] refactor: Refactor numeric sign and padding in Spark format_string [datafusion] via GitHub
  • Re: [PR] refactor: Refactor numeric sign and padding in Spark format_string [datafusion] via GitHub
  • Re: [PR] refactor: Refactor numeric sign and padding in Spark format_string [datafusion] via GitHub
  • Re: [PR] refactor: Refactor numeric sign and padding in Spark format_string [datafusion] via GitHub
• [I] Improve NDV statistics for Parquet columns [datafusion] via GitHub
• [I] Allow users to define the cardinality threshold for dictionary reads [datafusion] via GitHub
  • Re: [I] Allow users to define the cardinality threshold for dictionary reads [datafusion] via GitHub
  • Re: [I] Allow users to define the cardinality threshold for dictionary reads [datafusion] via GitHub
• Re: [I] size: compute list sizes with the arrow length kernel [datafusion-comet] via GitHub
• [I] Allow users to enable dictionary column reads from parquet files [datafusion] via GitHub
  • Re: [I] Allow users to enable dictionary column reads from parquet files [datafusion] via GitHub
• [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
• [I] d [datafusion] via GitHub
  • Re: [I] d [datafusion] via GitHub
• Re: [I] Short circuit expensive comparissions in GroupColumn trait [datafusion] via GitHub
  • Re: [I] Short circuit expensive comparissions in GroupColumn trait [datafusion] via GitHub
• Re: [I] cache dictionary arc ptr in groupColumn [datafusion] via GitHub
• [PR] fix: align wide-decimal ANSI overflow value with Spark (#5211) [datafusion-comet] via GitHub
  • Re: [PR] fix: align wide-decimal ANSI overflow value with Spark (#5211) [datafusion-comet] via GitHub
  • Re: [PR] fix: align wide-decimal ANSI overflow value with Spark (#5211) [datafusion-comet] via GitHub
• Re: [I] Add Iceberg integration [datafusion-ballista] via GitHub
  • Re: [I] Add Iceberg integration [datafusion-ballista] via GitHub
  • Re: [I] Add Iceberg integration [datafusion-ballista] via GitHub
• [PR] chore: load Comet lazily [datafusion-comet] via GitHub
  • Re: [PR] chore: load Comet lazily [datafusion-comet] via GitHub
  • Re: [PR] chore: load Comet lazily [datafusion-comet] via GitHub
  • Re: [PR] chore: load Comet lazily [datafusion-comet] via GitHub
  • Re: [PR] chore: load Comet lazily [datafusion-comet] via GitHub
  • Re: [PR] chore: load Comet lazily [datafusion-comet] via GitHub
  • Re: [PR] chore: load Comet on demand [datafusion-comet] via GitHub
  • Re: [PR] chore: load Comet on demand [datafusion-comet] via GitHub
  • Re: [PR] chore: load Comet on demand [datafusion-comet] via GitHub
  • Re: [PR] chore: load Comet on demand [datafusion-comet] via GitHub
• [I] Do not load Comet eagerly [datafusion-comet] via GitHub
  • Re: [I] Do not load Comet eagerly [datafusion-comet] via GitHub
  • Re: [I] Discuss `spark.comet.enabled` parameter behavior [datafusion-comet] via GitHub
  • Re: [I] Discuss `spark.comet.enabled` parameter behavior [datafusion-comet] via GitHub
  • Re: [I] Discuss `spark.comet.enabled` parameter behavior [datafusion-comet] via GitHub
  • Re: [I] Discuss `spark.comet.enabled` parameter behavior [datafusion-comet] via GitHub
• Re: [I] [DISCUSSION] Rethinking Code Review and Testing in the Agent Era [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Rethinking Code Review and Testing in the Agent Era [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Rethinking Code Review and Testing in the Agent Era [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Rethinking Code Review and Testing in the Agent Era [datafusion] via GitHub
• [I] Parquet filter pushdown silently drops a `get_field` predicate when the file needs schema adaptation (wrong results) [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] Parquet filter pushdown silently drops a `get_field` predicate when the file needs schema adaptation (wrong results) [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] Parquet filter pushdown silently drops a `get_field` predicate when the file needs schema adaptation (wrong results) [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] Parquet filter pushdown silently drops a `get_field` predicate when the file needs schema adaptation (wrong results) [datafusion] via GitHub
• [PR] feat(ffi): add an FFI extension codec bundle [datafusion] via GitHub
  • Re: [PR] feat(ffi): add an FFI extension codec bundle [datafusion] via GitHub
  • Re: [PR] feat(ffi): add an FFI extension codec bundle [datafusion] via GitHub
• [I] Benchmarking menu in contrib guide is truncated [datafusion-comet] via GitHub
  • Re: [I] Benchmarking menu in contrib guide is truncated [datafusion-comet] via GitHub
• [PR] Parse `REVOKE GRANT OPTION FOR` [datafusion-sqlparser-rs] via GitHub
• Re: [PR] chore: reduce runs for `Lint Java` [datafusion-comet] via GitHub
• Re: [PR] fix: typo for the builder error type [datafusion] via GitHub
  • Re: [PR] fix: typo for the builder error type [datafusion] via GitHub
  • Re: [PR] fix: typo for the builder error type [datafusion] via GitHub
  • Re: [PR] fix: typo for the builder error type [datafusion] via GitHub
  • Re: [PR] fix: typo for the builder error type [datafusion] via GitHub
• Re: [PR] Allow visits from both visitor and VisitorMut at the same time without using trait disambiguation [datafusion-sqlparser-rs] via GitHub
• Re: [I] [EPIC] Improve window function performance (especially for large windows) [datafusion] via GitHub
• Re: [PR] feat(pgq): add SQL/PGQ keywords [datafusion-sqlparser-rs] via GitHub
• Re: [PR] fix: avoid duplicate CheckOverflow evaluation for decimal division [datafusion-comet] via GitHub
  • Re: [PR] fix: avoid duplicate CheckOverflow evaluation for decimal division [datafusion-comet] via GitHub
  • Re: [PR] fix: avoid duplicate CheckOverflow evaluation for decimal division [datafusion-comet] via GitHub
  • Re: [PR] fix: avoid duplicate CheckOverflow evaluation for decimal division [datafusion-comet] via GitHub
  • Re: [PR] fix: avoid duplicate CheckOverflow evaluation for decimal division [datafusion-comet] via GitHub
• Re: [PR] Adding support for PostgreSQL's `STATISTICS` `CREATE`, `ALTER`, `DROP` and `COMMENT ON`. [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Adding support for PostgreSQL's `STATISTICS` `CREATE`, `ALTER`, `DROP` and `COMMENT ON`. [datafusion-sqlparser-rs] via GitHub
• Re: [PR] Adding support for TABLESPACE [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Adding support for TABLESPACE [datafusion-sqlparser-rs] via GitHub
• Re: [PR] PostgreSQL SQL/JSON Parser Support [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] PostgreSQL SQL/JSON Parser Support [datafusion-sqlparser-rs] via GitHub
• Re: [PR] Adding support for PostgreSQL's XML functions [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Adding support for PostgreSQL's XML functions [datafusion-sqlparser-rs] via GitHub
• [PR] PostgreSQL: parse `ALTER TRIGGER RENAME TO` and `DEPENDS ON EXTENSION` [datafusion-sqlparser-rs] via GitHub
• [PR] ci: add h2o window suite CI job [datafusion-ballista] via GitHub
  • Re: [PR] ci: add h2o window suite CI job [datafusion-ballista] via GitHub
  • Re: [PR] ci: add h2o window suite CI job [datafusion-ballista] via GitHub
  • Re: [PR] ci: add h2o window suite CI job [datafusion-ballista] via GitHub
• Re: [I] Revisit CometCastSuite assumptions now that Cast has a codegen dispatch fallback [datafusion-comet] via GitHub
  • Re: [I] Revisit CometCastSuite assumptions now that Cast has a codegen dispatch fallback [datafusion-comet] via GitHub
• Re: [PR] feat: Implement FFI_QueryPlanner [datafusion] via GitHub
  • Re: [PR] feat: Implement FFI_QueryPlanner [datafusion] via GitHub
  • Re: [PR] feat: Implement FFI_QueryPlanner [datafusion] via GitHub
• [PR] fix: remove todo from indexed field key [datafusion-python] via GitHub
• Re: [PR] refactor: use arity helper for Int to Decimal128 reinterpretation [datafusion-comet] via GitHub
  • Re: [PR] refactor: use arity helper for Int to Decimal128 reinterpretation [datafusion-comet] via GitHub
  • Re: [PR] refactor: use arity helper for Int to Decimal128 reinterpretation [datafusion-comet] via GitHub
  • Re: [PR] refactor: use arity helper for Int to Decimal128 reinterpretation [datafusion-comet] via GitHub
  • Re: [PR] refactor: use arity helper for Int to Decimal128 reinterpretation [datafusion-comet] via GitHub
  • Re: [PR] refactor: use arity helper for Int to Decimal128 reinterpretation [datafusion-comet] via GitHub
• Re: [I] sum aggregate fn can't evaluate value from statistics [datafusion] via GitHub
• Re: [PR] feat: Calculate non-distinct `sum` from column statistics when available [datafusion] via GitHub
• [I] Build spark_size LargeList lengths as Int32 without Int64 cast [datafusion-comet] via GitHub
  • Re: [I] Build spark_size LargeList lengths as Int32 without Int64 cast [datafusion-comet] via GitHub
• Re: [PR] feat: event log and history server (Spark History Server equivalent) [datafusion-ballista] via GitHub
  • Re: [PR] feat: event log and history server (Spark History Server equivalent) [datafusion-ballista] via GitHub
  • Re: [PR] feat: event log and history server (Spark History Server equivalent) [datafusion-ballista] via GitHub
  • Re: [PR] feat: event log and history server (Spark History Server equivalent) [datafusion-ballista] via GitHub
  • [PR] feat: event log and history server (Spark History Server equivalent) [datafusion-ballista] via GitHub
  • Re: [PR] feat: event log and history server (Spark History Server equivalent) [datafusion-ballista] via GitHub
  • Re: [PR] feat: event log and history server (Spark History Server equivalent) [datafusion-ballista] via GitHub
  • Re: [PR] feat: event log and history server (Spark History Server equivalent) [datafusion-ballista] via GitHub
  • Re: [PR] feat: event log and history server (Spark History Server equivalent) [datafusion-ballista] via GitHub
  • Re: [PR] feat: event log and history server (Spark History Server equivalent) [datafusion-ballista] via GitHub
  • Re: [PR] feat: event log and history server (Spark History Server equivalent) [datafusion-ballista] via GitHub
• [PR] PostgreSQL: parse `CREATE GROUP` and `DROP GROUP` [datafusion-sqlparser-rs] via GitHub
• Re: [PR] feat: remove native cast from boolean to decimal [datafusion-comet] via GitHub
• [I] Bare -0.0 literals in SQL file tests are coerced through decimal, so signed-zero coverage is vacuous [datafusion-comet] via GitHub
• [I] arrays_overlap on flat float arrays does not canonicalize NaN like Spark [datafusion-comet] via GitHub
• [I] arrays_overlap panics on nested double arrays built from expressions [datafusion-comet] via GitHub
• [PR] test: rename CometCastSuite to CometNativeCastSuite [datafusion-comet] via GitHub
  • Re: [PR] test: rename CometCastSuite to CometNativeCastSuite [datafusion-comet] via GitHub
  • Re: [PR] test: rename CometCastSuite to CometNativeCastSuite [datafusion-comet] via GitHub
• [I] [Parquet] Pruning predicates are evaluated in bloom filter codepaths, even when there are no bloom filters [datafusion] via GitHub
  • Re: [I] [Parquet] Pruning predicates are evaluated in bloom filter codepaths, even when there are no bloom filters [datafusion] via GitHub
• [I] Add an FFI extension codec bundle [datafusion] via GitHub
• [PR] perf: Concretely typed TopK StringHeap, and improved StringHashTable slot reuse [datafusion] via GitHub
  • Re: [PR] perf: Concretely typed TopK StringHeap, and StringHashTable slot reuse [datafusion] via GitHub
• Re: [I] [EPIC] Consistent handling of invalid UTF-8 in native StringType (ingress policy) [datafusion-comet] via GitHub
• Re: [PR] perf: vectorize integer-to-decimal cast [datafusion-comet] via GitHub
  • Re: [PR] perf: vectorize integer-to-decimal cast [datafusion-comet] via GitHub
• Re: [PR] feat: support timestampadd and timestampdiff via codegen dispatch [datafusion-comet] via GitHub
  • Re: [PR] feat: support timestampadd and timestampdiff via codegen dispatch [datafusion-comet] via GitHub
• Re: [PR] Preserve projected constants in aggregate arguments [datafusion] via GitHub
• [PR] fix: GROUP BY returns two rows for the NULL group with a nullable UNIQUE constraint [datafusion] via GitHub
  • Re: [PR] fix: GROUP BY returns two rows for the NULL group with a nullable UNIQUE constraint [datafusion] via GitHub
  • Re: [PR] fix: GROUP BY returns two rows for the NULL group with a nullable UNIQUE constraint [datafusion] via GitHub
• Re: [PR] fix: Fix nullability of logical `InSubquery` expression [datafusion] via GitHub
  • Re: [PR] fix: Fix nullability of logical `InSubquery` expression [datafusion] via GitHub
  • Re: [PR] fix: Fix nullability of logical `InSubquery` expression [datafusion] via GitHub
  • Re: [PR] fix: Fix nullability of logical `InSubquery` expression [datafusion] via GitHub
  • Re: [PR] fix: Fix nullability of logical `InSubquery` expression [datafusion] via GitHub
  • Re: [PR] fix: Fix nullability of logical `InSubquery` expression [datafusion] via GitHub
• [PR] fix: support untyped NULL input for median [datafusion] via GitHub
  • Re: [PR] fix: support untyped NULL input for median [datafusion] via GitHub
  • Re: [PR] fix: support untyped NULL input for median [datafusion] via GitHub
  • Re: [PR] fix: support untyped NULL input for median [datafusion] via GitHub
  • Re: [PR] fix: support untyped NULL input for median [datafusion] via GitHub
  • Re: [PR] fix: support untyped NULL input for median [datafusion] via GitHub
  • Re: [PR] fix: support untyped NULL input for median [datafusion] via GitHub
  • Re: [PR] fix: support untyped NULL input for median [datafusion] 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] 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

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