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[PR] perf: Eliminate a join a foreign key makes redundant [datafusion]
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Re: [PR] perf: Eliminate a join a foreign key makes redundant [datafusion]
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Re: [PR] perf: Eliminate a join a foreign key makes redundant [datafusion]
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Re: [PR] perf: Eliminate a join a foreign key makes redundant [datafusion]
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Re: [PR] perf: Eliminate a join a foreign key makes redundant [datafusion]
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Re: [PR] perf: Eliminate a join a foreign key makes redundant [datafusion]
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Re: [PR] perf: Eliminate a join a foreign key makes redundant [datafusion]
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Re: [PR] perf: Eliminate a join a foreign key makes redundant [datafusion]
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Re: [PR] perf: Eliminate a join a foreign key makes redundant [datafusion]
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[PR] docs: add full-site version snapshots [datafusion]
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[I] refactor: split regular and existence join in hash join [datafusion]
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Re: [I] refactor: split regular and existence join in hash join [datafusion]
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[PR] Apply recursion limit without std [datafusion-sqlparser-rs]
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Re: [PR] Apply recursion limit without std [datafusion-sqlparser-rs]
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Re: [PR] Apply recursion limit without std [datafusion-sqlparser-rs]
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Re: [PR] Apply recursion limit without std [datafusion-sqlparser-rs]
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[PR] Preserve field metadata when coercing INT96 timestamps [datafusion]
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Re: [PR] Preserve field metadata when coercing INT96 timestamps [datafusion]
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Re: [PR] Preserve field metadata when coercing INT96 timestamps [datafusion]
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[PR] perf: Remove an aggregate whose GROUP BY covers a unique key [datafusion]
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[I] `character_length` should natively support binary types without UTF-8 coercion [datafusion]
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Re: [I] `character_length` should natively support binary types without UTF-8 coercion [datafusion]
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Re: [I] `character_length` should natively support binary types without UTF-8 coercion [datafusion]
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Re: [I] `character_length` should natively support binary types without UTF-8 coercion [datafusion]
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Re: [I] `character_length` should natively support binary types without UTF-8 coercion [datafusion]
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[PR] fix: Unnest must not keep its input's uniqueness [datafusion]
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Re: [PR] fix: Unnest must not keep its input's uniqueness [datafusion]
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[I] `Int96Coercer` drops the metadata of struct, list and map fields. [datafusion]
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Re: [I] `Int96Coercer` drops the metadata of struct, list and map fields. [datafusion]
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Re: [I] `Int96Coercer` drops the metadata of struct, list and map fields. [datafusion]
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[PR] refactor(hash-aggr): Let partial-reduce mode aggregation early emit when OOM [datafusion]
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Re: [PR] refactor(hash-aggr): Let partial-reduce mode aggregation early emit when OOM [datafusion]
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Re: [PR] refactor(hash-aggr): Let partial-reduce mode aggregation early emit when OOM [datafusion]
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Re: [PR] refactor(hash-aggr): Let partial-reduce mode aggregation early emit when OOM [datafusion]
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Re: [PR] refactor(hash-aggr): Let partial-reduce mode aggregation early emit when OOM [datafusion]
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Re: [PR] refactor(hash-aggr): Let partial-reduce mode aggregation early emit when OOM [datafusion]
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Re: [PR] refactor(hash-aggr): Let partial-reduce mode aggregation early emit when OOM [datafusion]
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Re: [PR] refactor(hash-aggr): Let partial-reduce mode aggregation early emit when OOM [datafusion]
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Re: [PR] refactor(hash-aggr): Let partial-reduce mode aggregation early emit when OOM [datafusion]
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Re: [PR] refactor(hash-aggr): Let partial-reduce mode aggregation early emit when OOM [datafusion]
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Re: [PR] refactor(hash-aggr): Let partial-reduce mode aggregation early emit when OOM [datafusion]
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Re: [PR] refactor(hash-aggr): Let partial-reduce mode aggregation early emit when OOM [datafusion]
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[PR] fix: Allow a correlated scalar subquery to group without aggregating [datafusion]
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Re: [PR] fix: Allow a correlated scalar subquery to group without aggregating [datafusion]
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[PR] feat: Single join for correlated scalar subqueries [datafusion]
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Re: [PR] feat: Single join for correlated scalar subqueries [datafusion]
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Re: [PR] feat: Single join for correlated scalar subqueries [datafusion]
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Re: [PR] feat: Single join for correlated scalar subqueries [datafusion]
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Re: [PR] feat: Single join for correlated scalar subqueries [datafusion]
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[PR] feat: Single join for correlated scalar subqueries [datafusion]
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Re: [PR] feat: Single join for correlated scalar subqueries [datafusion]
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Re: [PR] feat: Single join for correlated scalar subqueries [datafusion]
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[PR] perf: use compact pruning for large string NOT IN lists [datafusion]
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Re: [PR] perf: use compact pruning for large string NOT IN lists [datafusion]
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Re: [PR] perf: use compact pruning for large string NOT IN lists [datafusion]
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Re: [PR] perf: use compact pruning for large string NOT IN lists [datafusion]
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Re: [PR] perf: use compact pruning for large string NOT IN lists [datafusion]
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Re: [PR] perf: use compact pruning for large string NOT IN lists [datafusion]
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Re: [PR] perf: use compact pruning for large string NOT IN lists [datafusion]
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Re: [PR] perf: use compact pruning for large string NOT IN lists [datafusion]
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Re: [PR] perf: use compact pruning for large string NOT IN lists [datafusion]
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Re: [PR] perf: use compact pruning for large string NOT IN lists [datafusion]
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[PR] Add streaming shared subplan example [datafusion]
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Re: [PR] Add streaming shared subplan example [datafusion]
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[PR] feat(benchmarks): Record the join failure matrix under a fixed memory budget [datafusion]
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Re: [PR] feat(benchmarks): Record the join failure matrix under a fixed memory budget [datafusion]
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Re: [PR] feat(benchmarks): Record the join failure matrix under a fixed memory budget [datafusion]
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Re: [PR] refactor: NLJ Stream Refactor (Part 1 - Semi/Anti/Mark) [datafusion]
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Re: [PR] refactor: NLJ Stream Refactor (Part 1 - Semi/Anti/Mark) [datafusion]
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Re: [PR] refactor: NLJ Stream Refactor (Part 1 - Semi/Anti/Mark) [datafusion]
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[PR] SQL benchmark configuration parity updates [datafusion]
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Re: [PR] SQL benchmark configuration parity updates [datafusion]
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Re: [PR] SQL benchmark configuration parity updates [datafusion]
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Re: [PR] SQL benchmark configuration parity updates [datafusion]
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Re: [PR] SQL benchmark configuration parity updates [datafusion]
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Re: [PR] feat: Add Spark-compatible `encode` function to datafusion-spark [datafusion]
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Re: [PR] feat: Add Spark-compatible `encode` function to datafusion-spark [datafusion]
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Re: [PR] feat: Add Spark-compatible `encode` function to datafusion-spark [datafusion]
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Re: [PR] feat: Add Spark-compatible `encode` function to datafusion-spark [datafusion]
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Re: [PR] feat: Add Spark-compatible `encode` function to datafusion-spark [datafusion]
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Re: [PR] feat: Add Spark-compatible `encode` function to datafusion-spark [datafusion]
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Re: [PR] feat: Add Spark-compatible `encode` function to datafusion-spark [datafusion]
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Re: [PR] feat: Add Spark-compatible `encode` function to datafusion-spark [datafusion]
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Re: [PR] fix: Spark-compatible HALF_UP rounding for round() on float types [datafusion]
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Re: [PR] feat(physical-expr): add Partitioning::DynamicRange variant [datafusion]
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Re: [I] Drop the per-batch Comet→Spark buffer copy in CometColumnarPythonInput [datafusion-comet]
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[PR] feat: support large Arrow inputs for accelerated Python UDFs [datafusion-comet]
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Re: [PR] feat: support large Arrow inputs for accelerated Python UDFs [datafusion-comet]
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Re: [PR] feat: support large Arrow inputs for accelerated Python UDFs [datafusion-comet]
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Re: [PR] feat: support large Arrow inputs for accelerated Python UDFs [datafusion-comet]
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Re: [PR] feat: support large Arrow inputs for accelerated Python UDFs [datafusion-comet]
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[PR] fix: accept UTC timezone aliases in Python Arrow input [datafusion-comet]
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Re: [PR] fix: accept UTC timezone aliases in Python Arrow input [datafusion-comet]
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Re: [PR] fix: accept UTC timezone aliases in Python Arrow input [datafusion-comet]
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[I] datafusion-proto: logical plan decode re-normalizes already-normalized plans, superlinear on wide plans [datafusion]
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Re: [I] datafusion-proto: logical plan decode re-normalizes already-normalized plans, superlinear on wide plans [datafusion]
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Re: [I] datafusion-proto: logical plan decode re-normalizes already-normalized plans, superlinear on wide plans [datafusion]
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[I] datafusion-proto: column qualifiers containing `.` are silently corrupted on round-trip [datafusion]
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Re: [I] datafusion-proto: column qualifiers containing `.` are silently corrupted on round-trip [datafusion]
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Re: [I] datafusion-proto: column qualifiers containing `.` are silently corrupted on round-trip [datafusion]
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[PR] refactor(proto): destructure lambda expression serde hooks [datafusion]
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Re: [PR] refactor(proto): destructure lambda expression serde hooks [datafusion]
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Re: [PR] refactor(proto): destructure lambda expression serde hooks [datafusion]
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Re: [PR] refactor(proto): destructure lambda expression serde hooks [datafusion]
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Re: [PR] refactor(proto): destructure lambda expression serde hooks [datafusion]
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Re: [PR] refactor(proto): destructure lambda expression serde hooks [datafusion]
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[I] Support useLargeVarTypes in accelerated mapInArrow/mapInPandas [datafusion-comet]
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[PR] fix: report native shuffle read metrics [datafusion-comet]
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Re: [PR] fix: report native shuffle read metrics [datafusion-comet]
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Re: [PR] fix: report native shuffle read metrics [datafusion-comet]
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Re: [PR] fix: report native shuffle read metrics [datafusion-comet]
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Re: [PR] fix: report native shuffle read metrics [datafusion-comet]
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Re: [PR] fix: report native shuffle read metrics [datafusion-comet]
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Re: [PR] fix: report native shuffle read metrics [datafusion-comet]
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[PR] build(deps): bump log from 0.4.32 to 0.4.34 [datafusion-python]
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Re: [PR] build(deps): bump log from 0.4.32 to 0.4.33 [datafusion-python]
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Re: [PR] build(deps): bump log from 0.4.32 to 0.4.33 [datafusion-python]
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[PR] build(deps): bump uuid from 1.23.3 to 1.25.0 [datafusion-python]
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Re: [PR] build(deps): bump uuid from 1.23.3 to 1.25.0 [datafusion-python]
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Re: [PR] build(deps): bump uuid from 1.23.3 to 1.25.0 [datafusion-python]
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Re: [I] Support `MapType(IntegerType,ArrayType(IntegerType,false),true)` for `CreateArray` [datafusion-comet]
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Re: [PR] fix(substrait): roundtrip scalar subqueries in projections [datafusion]
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Re: [PR] fix(substrait): roundtrip scalar subqueries in projections [datafusion]
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Re: [PR] fix(substrait): preserve grouping set output order [datafusion]
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Re: [PR] fix(substrait): preserve grouping set output order [datafusion]
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Re: [PR] fix(substrait): preserve grouping set output order [datafusion]
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Re: [PR] fix(substrait): preserve grouping set output order [datafusion]
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Re: [PR] fix(substrait): preserve grouping set output order [datafusion]
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Re: [PR] fix(substrait): preserve window function semantics [datafusion]
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Re: [PR] fix(substrait): preserve window function semantics [datafusion]
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Re: [PR] fix(substrait): preserve window function semantics [datafusion]
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Re: [I] Unsafe native partial aggregates survive child-triggered final fallback [datafusion-comet]
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Re: [I] Unsafe native partial aggregates survive child-triggered final fallback [datafusion-comet]
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[PR] fix: Show unique valid field names when an invalid one is provided [datafusion]
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Re: [PR] fix: Show unique valid field names when an invalid one is provided [datafusion]
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Re: [PR] fix: Show unique valid field names when an invalid one is provided [datafusion]
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Re: [PR] fix: Show unique valid field names when an invalid one is provided [datafusion]
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Re: [PR] fix: Show unique valid field names when an invalid one is provided [datafusion]
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Re: [PR] fix: Show unique valid field names when an invalid one is provided [datafusion]
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[I] Checked TIMESTAMP_MILLIS overflow for nested fields and nested-predicate scans is blocked on DataFusion nested-field pruning [datafusion-comet]
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Re: [I] Checked TIMESTAMP_MILLIS overflow for nested fields and nested-predicate scans is blocked on DataFusion nested-field pruning [datafusion-comet]
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[I] Duplicate valid fields in error message with nested queries [datafusion]
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Re: [I] Duplicate valid fields in error message with nested queries [datafusion]
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[I] first_value/last_value GroupsAccumulator ignores beneficial input ordering (is_input_pre_ordered) [datafusion]
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[I] [FEATURE] Enable direct top-level Variant projection in ordinary native Parquet scans [datafusion-comet]
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Re: [I] [FEATURE] Enable direct top-level Variant projection in ordinary native Parquet scans [datafusion-comet]
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[I] [FEATURE] Export complete Arrow Fields through the native FFI boundary [datafusion-comet]
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Re: [I] [FEATURE] Export complete Arrow Fields through the native FFI boundary [datafusion-comet]
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Re: [I] [FEATURE] Export complete Arrow Fields through the native FFI boundary [datafusion-comet]
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[I] [FEATURE] Normalize marked Variant arrays at the native Parquet boundary [datafusion-comet]
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Re: [I] [FEATURE] Normalize marked Variant arrays at the native Parquet boundary [datafusion-comet]
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[PR] fix: preserve Arrow Field metadata across C Data exports [datafusion-comet]
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Re: [PR] fix: preserve Arrow Field metadata across C Data exports [datafusion-comet]
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Re: [PR] fix: preserve Arrow Field metadata across C Data exports [datafusion-comet]
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Re: [PR] fix: preserve Arrow Field metadata across C Data exports [datafusion-comet]
via GitHub
Re: [PR] fix: preserve Arrow Field metadata across C Data exports [datafusion-comet]
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Re: [PR] fix: preserve Arrow Field metadata across C Data exports [datafusion-comet]
via GitHub
Re: [PR] fix: preserve Arrow Field metadata across C Data exports [datafusion-comet]
via GitHub
Re: [PR] fix: preserve Arrow Field metadata across C Data exports [datafusion-comet]
via GitHub
Re: [PR] fix: preserve Arrow Field metadata across C Data exports [datafusion-comet]
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Re: [PR] fix: preserve Arrow Field metadata across C Data exports [datafusion-comet]
via GitHub
Re: [PR] fix: preserve Arrow Field metadata across C Data exports [datafusion-comet]
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Re: [PR] fix: preserve Arrow Field metadata across C Data exports [datafusion-comet]
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Re: [PR] fix: preserve Arrow Field metadata across C Data exports [datafusion-comet]
via GitHub
[I] [FEATURE] Native top-level Variant projection from ordinary Parquet [datafusion-comet]
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Re: [I] [FEATURE] Native top-level Variant projection from ordinary Parquet [datafusion-comet]
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Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion]
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Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion]
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Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion]
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Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion]
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Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion]
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[I] [FEATURE] Match Spark physical Parquet semantics for projected Variant columns [datafusion-comet]
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Re: [I] [FEATURE] Match Spark physical Parquet semantics for projected Variant columns [datafusion-comet]
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[I] [FEATURE] Carry Spark VariantType identity through Comet schema serialization [datafusion-comet]
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Re: [I] [FEATURE] Carry Spark VariantType identity through Comet schema serialization [datafusion-comet]
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Re: [I] [FEATURE] Carry Spark VariantType identity through Comet schema serialization [datafusion-comet]
via GitHub
[PR] fix: preserve nested collection expression semantics [datafusion-comet]
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Re: [PR] fix: preserve nested collection expression semantics [datafusion-comet]
via GitHub
Re: [PR] feat(physical-plan): Make `HashTableLookupExpr` serializable [datafusion]
via GitHub
Re: [PR] feat(physical-plan): Make `HashTableLookupExpr` serializable [datafusion]
via GitHub
Re: [PR] feat(physical-plan): Make `HashTableLookupExpr` serializable [datafusion]
via GitHub
Re: [PR] feat(physical-plan): Make `HashTableLookupExpr` serializable [datafusion]
via GitHub
Re: [PR] feat(physical-plan): Make `HashTableLookupExpr` serializable [datafusion]
via GitHub
Re: [PR] feat(physical-plan): Make `HashTableLookupExpr` serializable [datafusion]
via GitHub
[PR] test: enable `DurationSecond` fuzzing [datafusion]
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Re: [PR] test: enable `DurationSecond` fuzzing [datafusion]
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Re: [PR] test: enable `DurationSecond` fuzzing [datafusion]
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Re: [PR] test: enable `DurationSecond` fuzzing [datafusion]
via GitHub
[I] Fix remaining reported issues for arrays of map [datafusion-comet]
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Re: [I] Fix remaining reported issues for arrays of map [datafusion-comet]
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Re: [I] Fix remaining reported issues for arrays of map [datafusion-comet]
via GitHub
Re: [I] Fix remaining reported issues for arrays of map [datafusion-comet]
via GitHub
Re: [I] Add native support for CollectMetricsExec (df.observe) to preserve stage fusion [datafusion-comet]
via GitHub
Re: [I] [Incompatibility] Document array_join null handling differences [datafusion-comet]
via GitHub
Re: [I] [Incompatibility] Document array_join null handling differences [datafusion-comet]
via GitHub
Re: [I] [Incompatibility] Document array_join null handling differences [datafusion-comet]
via GitHub
Re: [I] [Incompatibility] Document array_join null handling differences [datafusion-comet]
via GitHub
Re: [I] [Incompatibility] Document array_join null handling differences [datafusion-comet]
via GitHub
Re: [I] [Incompatibility] Document array_join null handling differences [datafusion-comet]
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Re: [I] [EPIC] Use blocked / chunked memory management in hash aggregation [datafusion]
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