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Re: [I] design: DataFrame joins (join, joinOn) and the Java Expr question [datafusion-java]
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Re: [PR] feat: add user-facing CometUDF registration for custom JVM UDFs [datafusion-comet]
via GitHub
[PR] chore: drop leftover JVM Parquet helpers and the native_datafusion scan name [datafusion-comet]
via GitHub
Re: [PR] chore: drop leftover JVM Parquet helpers and the native_datafusion scan name [datafusion-comet]
via GitHub
Re: [PR] feat: Add experimental support for accelerated PyArrow UDFs [datafusion-comet]
via GitHub
[I] Add randomised fuzz harness for pyarrow UDF vector-copy path [datafusion-comet]
via GitHub
[PR] minor: move aqe executions plans to a directory [datafusion-ballista]
via GitHub
Re: [PR] minor: move aqe executions plans to a directory [datafusion-ballista]
via GitHub
[I] Drop the per-batch Comet→Spark buffer copy in CometColumnarPythonInput [datafusion-comet]
via GitHub
[PR] chore: remove dead useDecimal128 plumbing [datafusion-comet]
via GitHub
Re: [PR] chore: remove dead useDecimal128 plumbing [datafusion-comet]
via GitHub
[PR] Fix: Infer placeholder type from subquery [datafusion]
via GitHub
Re: [PR] Fix: Infer placeholder type from subquery [datafusion]
via GitHub
Re: [PR] Fix: Infer placeholder type from subquery [datafusion]
via GitHub
Re: [PR] Fix: Infer placeholder type from subquery [datafusion]
via GitHub
Re: [PR] Fix: Infer placeholder type from subquery [datafusion]
via GitHub
Re: [PR] Fix: Infer placeholder type from subquery [datafusion]
via GitHub
Re: [PR] Fix: Infer placeholder type from subquery [datafusion]
via GitHub
Re: [PR] Fix: Infer placeholder type from subquery [datafusion]
via GitHub
Re: [PR] Fix: Infer placeholder type from subquery [datafusion]
via GitHub
Re: [PR] Fix: Infer placeholder type from subquery [datafusion]
via GitHub
[PR] MySQL: Add support for group by with rollup [datafusion-sqlparser-rs]
via GitHub
Re: [PR] MySQL: Add support for group by with rollup [datafusion-sqlparser-rs]
via GitHub
[I] REST API to expose job runtime metrics [datafusion-ballista]
via GitHub
Re: [I] REST API to expose job runtime metrics [datafusion-ballista]
via GitHub
Re: [I] REST API to expose job runtime metrics [datafusion-ballista]
via GitHub
Re: [I] Add Parquet column index support [datafusion-comet]
via GitHub
Re: [I] Add Parquet column index support [datafusion-comet]
via GitHub
Re: [I] perf: only check Parquet type once in NativeBatchReader [datafusion-comet]
via GitHub
Re: [I] perf: only check Parquet type once in NativeBatchReader [datafusion-comet]
via GitHub
Re: [I] bitpacking is not using SIMD [datafusion-comet]
via GitHub
Re: [I] bitpacking is not using SIMD [datafusion-comet]
via GitHub
[I] Iceberg 1.11 support [datafusion-comet]
via GitHub
Re: [PR] fix: reject readBatch(0) in ArrowConstantColumnReader [datafusion-comet]
via GitHub
Re: [PR] fix: reject readBatch(0) in ArrowConstantColumnReader [datafusion-comet]
via GitHub
[I] Upgrade Spark 4.1.1 to 4.1.2 [datafusion-comet]
via GitHub
[I] Port `HashTableLookupExpr` to use `try_to_proto` / `try_from_proto` [datafusion]
via GitHub
Re: [I] Port `HashTableLookupExpr` to use `try_to_proto` / `try_from_proto` [datafusion]
via GitHub
Re: [I] Port `HashTableLookupExpr` to use `try_to_proto` / `try_from_proto` [datafusion]
via GitHub
Re: [I] Port `HashTableLookupExpr` to use `try_to_proto` / `try_from_proto` [datafusion]
via GitHub
Re: [I] Port `HashTableLookupExpr` to use `try_to_proto` / `try_from_proto` [datafusion]
via GitHub
Re: [I] Port `HashTableLookupExpr` to use `try_to_proto` / `try_from_proto` [datafusion]
via GitHub
[I] Port `ScalarSubqueryExpr` to use `try_to_proto` / `try_from_proto` [datafusion]
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Re: [I] Port `ScalarSubqueryExpr` to use `try_to_proto` / `try_from_proto` [datafusion]
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Re: [I] Port `ScalarSubqueryExpr` to use `try_to_proto` / `try_from_proto` [datafusion]
via GitHub
[I] Port `DynamicFilterPhysicalExpr` to use `try_to_proto` / `try_from_proto` [datafusion]
via GitHub
Re: [I] Port `DynamicFilterPhysicalExpr` to use `try_to_proto` / `try_from_proto` [datafusion]
via GitHub
Re: [I] Port `DynamicFilterPhysicalExpr` to use `try_to_proto` / `try_from_proto` [datafusion]
via GitHub
[I] Port `LikeExpr` to use `try_to_proto` / `try_from_proto` [datafusion]
via GitHub
Re: [I] Port `LikeExpr` to use `try_to_proto` / `try_from_proto` [datafusion]
via GitHub
[I] Port `HashExpr` to use `try_to_proto` / `try_from_proto` [datafusion]
via GitHub
[I] Port `ScalarFunctionExpr` to use `try_to_proto` / `try_from_proto` [datafusion]
via GitHub
[I] Port `TryCastExpr` to use `try_to_proto` / `try_from_proto` [datafusion]
via GitHub
[I] Port `Literal` to use `try_to_proto` / `try_from_proto` [datafusion]
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[I] Port `CastExpr` to use `try_to_proto` / `try_from_proto` [datafusion]
via GitHub
[I] Port `NegativeExpr` to use `try_to_proto` / `try_from_proto` [datafusion]
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Re: [I] Port `NegativeExpr` to use `try_to_proto` / `try_from_proto` [datafusion]
via GitHub
[I] Port `UnKnownColumn` to use `try_to_proto` / `try_from_proto` [datafusion]
via GitHub
Re: [I] Port `UnKnownColumn` to use `try_to_proto` / `try_from_proto` [datafusion]
via GitHub
[I] Port `IsNotNullExpr` to use `try_to_proto` / `try_from_proto` [datafusion]
via GitHub
Re: [I] Port `IsNotNullExpr` to use `try_to_proto` / `try_from_proto` [datafusion]
via GitHub
[I] Port `InListExpr` to use `try_to_proto` / `try_from_proto` [datafusion]
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[I] Port `IsNullExpr` to use `try_to_proto` / `try_from_proto` [datafusion]
via GitHub
Re: [I] Port `IsNullExpr` to use `try_to_proto` / `try_from_proto` [datafusion]
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[I] Port `CaseExpr` to use `try_to_proto` / `try_from_proto` [datafusion]
via GitHub
[I] Port `NotExpr` to use `try_to_proto` / `try_from_proto` [datafusion]
via GitHub
Re: [I] add `PhysicalProtoConverterExtension` to `PhysicalExtensionCodec` [datafusion]
via GitHub
[I] [EPIC] Apply try_to_proto / try_from_proto pattern to ExecutionPlan [datafusion]
via GitHub
Re: [I] [EPIC] Apply try_to_proto / try_from_proto pattern to ExecutionPlan [datafusion]
via GitHub
[I] [EPIC] Por `PhysicalExpr` implementations to use `try_from_proto` / `try_to_proto` [datafusion]
via GitHub
Re: [PR] feat: Create dynamic filters in SortMergeJoin [datafusion]
via GitHub
[PR] fix: custom_datasource example ignores projection pushdown in execute() [datafusion]
via GitHub
Re: [PR] fix: custom_datasource example ignores projection pushdown in execute() [datafusion]
via GitHub
Re: [PR] fix: custom_datasource example ignores projection pushdown in execute() [datafusion]
via GitHub
[PR] perf: minimize allocation in min/max emit_to(First(n)) [datafusion]
via GitHub
Re: [PR] perf: minimize allocation in min/max emit_to(First(n)) [datafusion]
via GitHub
Re: [PR] perf: minimize allocation in min/max emit_to(First(n)) [datafusion]
via GitHub
Re: [PR] perf: minimize allocation in min/max emit_to(First(n)) [datafusion]
via GitHub
Re: [PR] perf: minimize allocation in min/max emit_to(First(n)) [datafusion]
via GitHub
Re: [PR] perf: minimize allocation in min/max emit_to(First(n)) [datafusion]
via GitHub
Re: [PR] perf: minimize allocation in min/max emit_to(First(n)) [datafusion]
via GitHub
Re: [PR] perf: hoist split_vec_min_alloc to datafusion-common and shrink the emitted prefix [datafusion]
via GitHub
Re: [PR] perf: hoist split_vec_min_alloc to datafusion-common and shrink the emitted prefix [datafusion]
via GitHub
Re: [PR] perf: hoist split_vec_min_alloc to datafusion-common and shrink the emitted prefix [datafusion]
via GitHub
Re: [PR] perf: hoist split_vec_min_alloc to datafusion-common and shrink the emitted prefix [datafusion]
via GitHub
Re: [PR] perf: hoist split_vec_min_alloc to datafusion-common and shrink the emitted prefix [datafusion]
via GitHub
Re: [I] Built-in/Custom UDAF not working on custom datasource example [datafusion]
via GitHub
Re: [I] `ScalarValue::try_from_array` holds onto input array for Struct, Lists types [datafusion]
via GitHub
[PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion]
via GitHub
[PR] (feat) Add web rendering of the TUI application [datafusion-ballista]
via GitHub
[I] Add csharp support [datafusion]
via GitHub
[PR] Hive: Support MAP<K, V> column types [datafusion-sqlparser-rs]
via GitHub
Re: [PR] Hive: Support MAP<K, V> column types [datafusion-sqlparser-rs]
via GitHub
Re: [PR] Hive: Support MAP<K, V> column types [datafusion-sqlparser-rs]
via GitHub
Re: [PR] Hive: Support MAP<K, V> column types [datafusion-sqlparser-rs]
via GitHub
[I] `Hive` dialect does not support `MAP<K, V>` column types [datafusion-sqlparser-rs]
via GitHub
[I] `Statistics::with_fetch` promotes `Inexact(0)` to `Exact(0)`, causing false `COUNT(*)` fold on multi-way joins [datafusion]
via GitHub
Re: [I] `Statistics::with_fetch` promotes `Inexact(0)` to `Exact(0)`, causing false `COUNT(*)` fold on multi-way joins [datafusion]
via GitHub
Re: [I] `Statistics::with_fetch` promotes `Inexact(0)` to `Exact(0)`, causing false `COUNT(*)` fold on multi-way joins [datafusion]
via GitHub
[PR] feat(metrics): add SessionContext.memoryUsage and runtimeStats [datafusion-java]
via GitHub
[PR] Avoid rerunning no-op logical optimizer rules [datafusion]
via GitHub
Re: [PR] Avoid rerunning no-op logical optimizer rules [datafusion]
via GitHub
Re: [PR] Avoid rerunning no-op logical optimizer rules [datafusion]
via GitHub
Re: [PR] Avoid rerunning no-op logical optimizer rules [datafusion]
via GitHub
Re: [PR] Avoid rerunning no-op logical optimizer rules [datafusion]
via GitHub
Re: [PR] Avoid rerunning no-op logical optimizer rules [datafusion]
via GitHub
Re: [PR] Avoid rerunning no-op logical optimizer rules [datafusion]
via GitHub
Re: [PR] Avoid rerunning no-op logical optimizer rules [datafusion]
via GitHub
Re: [PR] Avoid rerunning no-op logical optimizer rules [datafusion]
via GitHub
Re: [PR] Avoid rerunning no-op logical optimizer rules [datafusion]
via GitHub
Re: [PR] Avoid rerunning no-op logical optimizer rules [datafusion]
via GitHub
[I] Avoid rerunning logical optimizer rules on unchanged plans [datafusion]
via GitHub
[PR] feat(session): expose disableSpill and maxTempDirectorySize on SessionContextBuilder [datafusion-java]
via GitHub
Re: [PR] feat(session): expose disableSpill and maxTempDirectorySize on SessionContextBuilder [datafusion-java]
via GitHub
[I] feat: full disk-manager configuration on `SessionContextBuilder` (multi-dir spill, disable, size cap) [datafusion-java]
via GitHub
[PR] fix: error on negative ln inputs [datafusion]
via GitHub
Re: [PR] fix: error on negative ln inputs [datafusion]
via GitHub
[PR] fix: indentation for markdown block comments in docstrings [datafusion]
via GitHub
Re: [PR] fix: indentation for markdown block comments in docstrings [datafusion]
via GitHub
Re: [PR] feat: Enable expressions as default value in lead/lag function [datafusion]
via GitHub
[I] feat(metrics): per-query memory accounting and Tokio runtime metrics [datafusion-java]
via GitHub
[PR] feat: typed DataFusionException hierarchy across the JNI boundary [datafusion-java]
via GitHub
[PR] fix: avoid panic in date_bin compute_distance near i64::MIN [datafusion]
via GitHub
Re: [PR] fix: avoid panic in date_bin compute_distance near i64::MIN [datafusion]
via GitHub
Re: [PR] fix: avoid panic in date_bin compute_distance near i64::MIN [datafusion]
via GitHub
Re: [PR] fix: avoid panic in date_bin compute_distance near i64::MIN [datafusion]
via GitHub
[PR] feat(substrait): add SessionContext.fromSubstrait gated behind opt-in Cargo feature [datafusion-java]
via GitHub
Re: [I] Extension metadata improperly propagated across IS NULL operator [datafusion]
via GitHub
Re: [I] Extension metadata improperly propagated across IS NULL operator [datafusion]
via GitHub
Re: [I] Optimizer Internal Error: 'eliminate_cross_join' causes schema drift when LEFT JOIN has scalar subquery over same CTE (SQLStorm) [datafusion]
via GitHub
Re: [I] Optimizer Internal Error: 'eliminate_cross_join' causes schema drift when LEFT JOIN has scalar subquery over same CTE (SQLStorm) [datafusion]
via GitHub
Re: [I] `ReturnFieldArgs.scalar_arguments` type doesn't match with `arg_fields` [datafusion]
via GitHub
[PR] chore(deps): bump mimalloc from 0.1.50 to 0.1.51 [datafusion-ballista]
via GitHub
Re: [PR] chore(deps): bump mimalloc from 0.1.50 to 0.1.51 [datafusion-ballista]
via GitHub
[PR] chore(deps): bump taiki-e/install-action from 2.79.2 to 2.79.3 [datafusion-ballista]
via GitHub
Re: [PR] chore(deps): bump taiki-e/install-action from 2.79.2 to 2.79.3 [datafusion-ballista]
via GitHub
[PR] chore(deps): bump aws-config from 1.8.16 to 1.8.17 [datafusion-ballista]
via GitHub
Re: [PR] chore(deps): bump aws-config from 1.8.16 to 1.8.17 [datafusion-ballista]
via GitHub
Re: [I] Add scripts for release process [datafusion-java]
via GitHub
[I] feat: typed `DataFusionException` hierarchy across the JNI boundary [datafusion-java]
via GitHub
[PR] feat(session): configure DataFusion's built-in CacheManager from Java [datafusion-java]
via GitHub
[I] In-scan RG-level dynamic pruning via arrow-rs reader split (Inexact TopK + WHERE) [datafusion]
via GitHub
[PR] Optimize metric label cloning [datafusion]
via GitHub
Re: [PR] Optimize metric label cloning [datafusion]
via GitHub
Re: [PR] Optimize metric label cloning [datafusion]
via GitHub
Re: [PR] Optimize metric label cloning [datafusion]
via GitHub
Re: [PR] Optimize metric label cloning [datafusion]
via GitHub
Re: [PR] Optimize metric label cloning [datafusion]
via GitHub
Re: [PR] Optimize metric label cloning [datafusion]
via GitHub
Re: [PR] Optimize metric label cloning [datafusion]
via GitHub
Re: [PR] Optimize metric label cloning [datafusion]
via GitHub
Re: [PR] Optimize metric label cloning [datafusion]
via GitHub
Re: [PR] Optimize metric label cloning [datafusion]
via GitHub
Re: [PR] Optimize metric label cloning [datafusion]
via GitHub
Re: [PR] Optimize metric label cloning [datafusion]
via GitHub
Re: [PR] Optimize metric label cloning [datafusion]
via GitHub
Re: [PR] Optimize metric label cloning [datafusion]
via GitHub
Re: [PR] Optimize metric label cloning [datafusion]
via GitHub
Re: [PR] Optimize metric label cloning [datafusion]
via GitHub
Re: [PR] Optimize metric label cloning [datafusion]
via GitHub
Re: [PR] Optimize metric label cloning [datafusion]
via GitHub
Re: [PR] Optimize metric label cloning [datafusion]
via GitHub
Re: [PR] Optimize metric label cloning [datafusion]
via GitHub
Re: [PR] Optimize metric label cloning [datafusion]
via GitHub
Re: [PR] Optimize metric label cloning [datafusion]
via GitHub
Earlier messages
Later messages