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• • Re: [I] A bug from `EnforceDistribution`. [datafusion] via GitHub
• Re: [I] Perf: Streaming Aggregation should not be chosen unconditionally when the input is sorted [datafusion] via GitHub
  • Re: [I] Perf: Streaming Aggregation should not be chosen unconditionally when the input is sorted [datafusion] via GitHub
• Re: [I] make dynamic filters in `ExecutionPlan` nodes discoverable [datafusion] via GitHub
  • Re: [I] make dynamic filters in `ExecutionPlan` nodes discoverable [datafusion] via GitHub
• [PR] feat(spark): add `to_binary` and `try_to_binary` [datafusion] via GitHub
  • Re: [PR] feat(spark): add `to_binary` and `try_to_binary` [datafusion] via GitHub
  • Re: [PR] feat(spark): add `to_binary` and `try_to_binary` [datafusion] via GitHub
• Re: [I] Make some modules to be public. [datafusion] via GitHub
  • Re: [I] Make some modules to be public. [datafusion] via GitHub
• Re: [I] Document streaming usecase (like `UNBOUNDED` tables) [datafusion] via GitHub
  • Re: [I] Document streaming usecase (like `UNBOUNDED` tables) [datafusion] via GitHub
  • Re: [I] Document streaming usecase (like `UNBOUNDED` tables) [datafusion] via GitHub
  • Re: [I] Document streaming usecase (like `UNBOUNDED` tables) [datafusion] via GitHub
• [I] [EPIC] Better support for Streaming SQL [datafusion] via GitHub
  • Re: [I] [EPIC] Better support / documentation / tests for Streaming SQL Engines [datafusion] via GitHub
  • Re: [I] [EPIC] Better support / documentation / tests for Streaming SQL Engines [datafusion] via GitHub
  • Re: [I] [EPIC] Better support / documentation / tests for Streaming SQL Engines [datafusion] via GitHub
  • Re: [I] [EPIC] Better support / documentation / tests for Streaming SQL Engines [datafusion] via GitHub
• [I] OptimizeProjections: avoid recomputing projection schema (O(exprs × width)) by slicing the input schema [datafusion] via GitHub
• Re: [I] Feature Request: Implement `MATCH_RECOGNIZE` for Advanced Pattern Matching [datafusion] via GitHub
  • Re: [I] Feature Request: Implement `MATCH_RECOGNIZE` for Advanced Pattern Matching [datafusion] via GitHub
• Re: [I] Bug: EnforceDistribution is not idempotent despite documentation claim [datafusion] via GitHub
  • Re: [I] Bug: EnforceDistribution is not idempotent despite documentation claim [datafusion] via GitHub
  • Re: [I] Bug: EnforceDistribution is not idempotent despite documentation claim [datafusion] via GitHub
• [PR] refactor(hash-aggr): Disable the legacy aggregation implementation. [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Disable the legacy aggregation implementation. [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Disable the legacy aggregation implementation. [datafusion] via GitHub
• [PR] refactor(hash-aggr): Let partial-reduce mode aggregation error under memory limit [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Let partial-reduce mode aggregation error under memory limit [datafusion] via GitHub
• Re: [I] Refactor numeric sign and padding in Spark format_string [datafusion] via GitHub
• [PR] refactor(hash-aggr): grouping sets routing [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): grouping sets routing [datafusion] via GitHub
• [PR] refactor(hash-aggr): treat soft limit as hint [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): treat soft limit as hint [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): treat soft limit as hint [datafusion] via GitHub
• [PR] refactor: migrate ordered single aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): migrate ordered single aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): migrate ordered single aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): migrate ordered single aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): migrate ordered single aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): migrate ordered single aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): migrate ordered single aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): migrate ordered single aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): migrate ordered single aggregation [datafusion] via GitHub
• [PR] fix: preserve null semantics in expression simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve null semantics in expression simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve null semantics in expression simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve null semantics in expression simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve null semantics in expression simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve null semantics in expression simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve null semantics in expression simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve null semantics in expression simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve null semantics in expression simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve null semantics in expression simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve null semantics in expression simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve null semantics in expression simplification [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
• [PR] Fix ArrowBytesViewMap retained capacity accounting [datafusion] via GitHub
  • Re: [PR] Fix ArrowBytesViewMap retained capacity accounting [datafusion] via GitHub
  • Re: [PR] Fix ArrowBytesViewMap retained capacity accounting [datafusion] via GitHub
  • Re: [PR] Fix ArrowBytesViewMap retained capacity accounting [datafusion] via GitHub
  • Re: [PR] Fix ArrowBytesViewMap retained capacity accounting [datafusion] via GitHub
  • Re: [PR] Fix ArrowBytesViewMap retained capacity accounting [datafusion] via GitHub
  • Re: [PR] Fix ArrowBytesViewMap retained capacity accounting [datafusion] via GitHub
  • Re: [PR] Fix ArrowBytesViewMap retained capacity accounting [datafusion] via GitHub
• Re: [PR] Parser: fix exponential parse time on nested function-call arguments [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Parser: fix exponential parse time on nested function-call arguments [datafusion-sqlparser-rs] via GitHub
• [PR] chore(deps): bump toml from 0.9.12+spec-1.1.0 to 1.1.3+spec-1.1.0 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump toml from 0.9.12+spec-1.1.0 to 1.1.3+spec-1.1.0 [datafusion] via GitHub
• [PR] chore(deps): bump substrait from 0.63.0 to 0.64.1 [datafusion] via GitHub
• [PR] chore(deps): bump the all-other-cargo-deps group with 4 updates [datafusion] via GitHub
  • Re: [PR] chore(deps): bump the all-other-cargo-deps group with 4 updates [datafusion] via GitHub
• [PR] chore(deps): bump taiki-e/install-action from 2.85.6 to 2.85.10 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.85.6 to 2.85.10 [datafusion] via GitHub
• [PR] chore(deps): bump runs-on/action from 2.2.0 to 2.3.0 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump runs-on/action from 2.2.0 to 2.3.0 [datafusion] via GitHub
• [PR] chore(deps): bump Swatinem/rust-cache from 2.9.1 to 2.9.2 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump Swatinem/rust-cache from 2.9.1 to 2.9.2 [datafusion] via GitHub
• [PR] chore(deps): bump pbjson-types from 0.8.0 to 0.9.0 in the proto group [datafusion] via GitHub
• [PR] chore(deps): bump the codeql-actions group with 2 updates [datafusion] via GitHub
  • Re: [PR] chore(deps): bump the codeql-actions group with 2 updates [datafusion] via GitHub
• [PR] fix: preserve NULL semantics in bitwise xor simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve NULL semantics in bitwise xor simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve NULL semantics in bitwise xor simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve NULL semantics in bitwise xor simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve NULL semantics in bitwise xor simplification [datafusion] via GitHub
• [PR] fix: preserve NULL semantics in `log` and `power` simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve NULL semantics in `log` and `power` simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve NULL semantics in `log` and `power` simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve NULL semantics in `log` and `power` simplification [datafusion] via GitHub
• [I] Expression simplifications may produce incorrect results with NULLs [datafusion] via GitHub
  • Re: [I] Expression simplifications may produce incorrect results with NULLs [datafusion] via GitHub
• Re: [I] Refactor: Build a reusable struct-access path tree for Parquet row-filter planning [datafusion] via GitHub
• [PR] fix: align OpenDAL adapter dependencies [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump opendal from 0.57.0 to 0.58.1 in /native [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump opendal from 0.57.0 to 0.58.1 in /native [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump opendal from 0.57.0 to 0.58.1 in /native [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump opendal from 0.57.0 to 0.58.1 in /native [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump opendal from 0.57.0 to 0.58.1 in /native [datafusion-comet] via GitHub
• Re: [I] Analysis to support`SortPreservingMerge` --> `ProgressiveEval` [datafusion] via GitHub
  • Re: [I] Analysis to support`SortPreservingMerge` --> `ProgressiveEval` [datafusion] via GitHub
  • Re: [I] Analysis to support`SortPreservingMerge` --> `ProgressiveEval` [datafusion] via GitHub
• [I] Split Range repartitioning code out of repartition/mod.rs [datafusion] via GitHub
  • Re: [I] Split Range repartitioning code out of repartition/mod.rs [datafusion] via GitHub
  • Re: [I] Split Range repartitioning code out of repartition/mod.rs [datafusion] via GitHub
• [PR] Fix physical distinctness expression nullability [datafusion] via GitHub
  • Re: [PR] Fix physical distinctness expression nullability [datafusion] via GitHub
• Re: [PR] chore: run CI on contributor forks [datafusion-comet] via GitHub
• Re: [PR] Cross join MxN partitioning [datafusion] via GitHub
• Re: [PR] perf(optimizer): generic in-place mutable rewrite to obsolete per-rule fast-paths [datafusion] via GitHub
• Re: [PR] fix: inferred predicates for null-aware anti joins [datafusion] via GitHub
• [I] [Epic] Fuzz data generators never produce NULLs [datafusion] via GitHub
  • Re: [I] [Epic] Fuzz data generators never produce NULLs [datafusion] via GitHub
  • Re: [I] [Epic] Fuzz data generators never produce NULLs [datafusion] via GitHub
  • Re: [I] [Epic] Fuzz data generators never produce NULLs [datafusion] via GitHub
• [PR] Fix self join leaf expressions [datafusion] via GitHub
  • Re: [PR] Fix self join leaf expressions [datafusion] via GitHub
  • Re: [PR] Fix self join leaf expressions [datafusion] via GitHub
  • Re: [PR] Fix self join leaf expressions [datafusion] via GitHub
• [I] push_down_leaf_projections fails for self joins in some scenarios [datafusion] via GitHub
• [PR] docs: add IceGate to the list of featured data platforms [datafusion] via GitHub
  • Re: [PR] docs: add IceGate to the list of featured data platforms [datafusion] via GitHub
  • Re: [PR] docs: add IceGate to the list of featured data platforms [datafusion] via GitHub
• [PR] fix: Propagate NULLs in `regexp_count`, `regexp_instr` [datafusion] via GitHub
  • Re: [PR] fix: Propagate NULLs in `regexp_count`, `regexp_instr` [datafusion] via GitHub
  • Re: [PR] fix: Propagate NULLs in `regexp_count`, `regexp_instr` [datafusion] via GitHub
• [I] Sort-aware Iceberg reads in Comet via a per-partition streaming merge [datafusion-comet] via GitHub
• [PR] feat(pruning): prune containers through `CASE` predicates [datafusion] via GitHub
  • Re: [PR] feat(pruning): prune containers through `CASE` predicates [datafusion] via GitHub
  • Re: [PR] feat(pruning): prune containers through `CASE` predicates [datafusion] via GitHub
  • Re: [PR] feat(pruning): prune containers through `CASE` predicates [datafusion] via GitHub
  • Re: [PR] feat(pruning): prune containers through `CASE` predicates [datafusion] via GitHub
  • Re: [PR] feat(pruning): prune containers through `CASE` predicates [datafusion] via GitHub
  • Re: [PR] feat(pruning): prune containers through `CASE` predicates [datafusion] via GitHub
  • Re: [PR] feat(pruning): prune containers through `CASE` predicates [datafusion] via GitHub
  • Re: [PR] feat(pruning): prune containers through `CASE` predicates [datafusion] via GitHub
  • Re: [PR] feat(pruning): prune containers through `CASE` predicates [datafusion] via GitHub
  • Re: [PR] feat(pruning): prune containers through `CASE` predicates [datafusion] via GitHub
• Re: [I] Codify Iceberg version compatibility [datafusion-comet] 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: [I] `AdaptivePlanner` uses `job_name` to identify jobs rather than `JobId` [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
• [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: [PR] variant: Integrate datafusion-variant into Datafusion [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
• [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
• [PR] fix(scheduler): default no-executors grace to executor timeout (>= heartbeat) [datafusion-ballista] via GitHub

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