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• • Re: [PR] feat: support `substrait_plan` and remove deprecated `sql` field from `ExecuteQueryParams.Query` [datafusion-ballista] via GitHub
  • Re: [PR] feat: support `substrait_plan` and remove deprecated `sql` field from `ExecuteQueryParams.Query` [datafusion-ballista] via GitHub
  • Re: [PR] feat: support `substrait_plan` and remove deprecated `sql` field from `ExecuteQueryParams.Query` [datafusion-ballista] via GitHub
  • Re: [PR] feat: support `substrait_plan` and remove deprecated `sql` field from `ExecuteQueryParams.Query` [datafusion-ballista] via GitHub
  • Re: [PR] feat: support `substrait_plan` and remove deprecated `sql` field from `ExecuteQueryParams.Query` [datafusion-ballista] via GitHub
  • Re: [PR] feat: support `substrait_plan` and remove deprecated `sql` field from `ExecuteQueryParams.Query` [datafusion-ballista] via GitHub
  • Re: [PR] feat: support `substrait_plan` and remove deprecated `sql` field from `ExecuteQueryParams.Query` [datafusion-ballista] via GitHub
  • Re: [PR] feat: support `substrait_plan` and remove deprecated `sql` field from `ExecuteQueryParams.Query` [datafusion-ballista] via GitHub
  • Re: [PR] feat: support `substrait_plan` and remove deprecated `sql` field from `ExecuteQueryParams.Query` [datafusion-ballista] via GitHub
  • Re: [PR] feat: support `substrait_plan` and remove deprecated `sql` field from `ExecuteQueryParams.Query` [datafusion-ballista] via GitHub
  • Re: [PR] feat: support `substrait_plan` and remove deprecated `sql` field from `ExecuteQueryParams.Query` [datafusion-ballista] via GitHub
  • Re: [PR] feat: support `substrait_plan` and remove deprecated `sql` field from `ExecuteQueryParams.Query` [datafusion-ballista] via GitHub
  • Re: [PR] feat: support `substrait_plan` and remove deprecated `sql` field from `ExecuteQueryParams.Query` [datafusion-ballista] via GitHub
  • Re: [PR] feat: support `substrait_plan` and remove deprecated `sql` field from `ExecuteQueryParams.Query` [datafusion-ballista] via GitHub
  • Re: [PR] feat: support `substrait_plan` and remove deprecated `sql` field from `ExecuteQueryParams.Query` [datafusion-ballista] via GitHub
  • Re: [PR] feat: support `substrait_plan` and remove deprecated `sql` field from `ExecuteQueryParams.Query` [datafusion-ballista] via GitHub
  • Re: [PR] feat: support `substrait_plan` and remove deprecated `sql` field from `ExecuteQueryParams.Query` [datafusion-ballista] via GitHub
  • Re: [PR] feat: support `substrait_plan` and remove deprecated `sql` field from `ExecuteQueryParams.Query` [datafusion-ballista] via GitHub
  • Re: [PR] feat: support `substrait_plan` and remove deprecated `sql` field from `ExecuteQueryParams.Query` [datafusion-ballista] via GitHub
  • Re: [PR] feat: support `substrait_plan` and remove deprecated `sql` field from `ExecuteQueryParams.Query` [datafusion-ballista] via GitHub
  • Re: [PR] feat: support `substrait_plan` and remove deprecated `sql` field from `ExecuteQueryParams.Query` [datafusion-ballista] via GitHub
  • Re: [PR] feat: support `substrait_plan` and remove deprecated `sql` field from `ExecuteQueryParams.Query` [datafusion-ballista] via GitHub
  • Re: [PR] feat: support `substrait_plan` and remove deprecated `sql` field from `ExecuteQueryParams.Query` [datafusion-ballista] via GitHub
  • Re: [PR] feat: support `substrait_plan` and remove deprecated `sql` field from `ExecuteQueryParams.Query` [datafusion-ballista] via GitHub
  • Re: [PR] feat: support `substrait_plan` and remove deprecated `sql` field from `ExecuteQueryParams.Query` [datafusion-ballista] via GitHub
  • Re: [PR] feat: Scheduler supports `substrait` logical plan and remove deprecated `sql` support [datafusion-ballista] via GitHub
  • Re: [PR] feat: Scheduler supports `substrait` logical plan and remove deprecated `sql` support [datafusion-ballista] via GitHub
• [I] Memory use trait / methods / macros [datafusion] via GitHub
• [PR] build: skip hive1 test for spark 4 [datafusion-comet] via GitHub
  • Re: [PR] build: skip hive1 test for spark 4 [datafusion-comet] via GitHub
  • Re: [PR] build: skip hive1 test for spark 4 [datafusion-comet] via GitHub
• [PR] refactor: Extract sort-merge join filter logic into separate module [datafusion] via GitHub
• Re: [PR] [WIP] support PartialMerge [datafusion-comet] via GitHub
• [I] Comet writer to respect `object_store_settings` sent from Scala [datafusion-comet] via GitHub
• [PR] perf: Implement more microbenchmarks for cast expressions [datafusion-comet] via GitHub
  • Re: [PR] perf: Implement more microbenchmarks for cast expressions [datafusion-comet] via GitHub
  • Re: [PR] perf: Implement more microbenchmarks for cast expressions [datafusion-comet] via GitHub
  • Re: [PR] perf: Implement more microbenchmarks for cast expressions [datafusion-comet] via GitHub
  • Re: [PR] perf: Implement more microbenchmarks for cast expressions [datafusion-comet] via GitHub
• [PR] chore: Skip some CI workflows for benchmark changes [datafusion-comet] via GitHub
  • Re: [PR] chore: Skip some CI workflows for benchmark changes [datafusion-comet] via GitHub
  • Re: [PR] chore: Skip some CI workflows for benchmark changes [datafusion-comet] via GitHub
  • Re: [PR] chore: Skip some CI workflows for benchmark changes [datafusion-comet] via GitHub
  • Re: [PR] chore: Skip some CI workflows for benchmark changes [datafusion-comet] via GitHub
• [I] Improve performance of `sha` hashing expressions [datafusion-comet] via GitHub
  • Re: [I] Improve performance of `sha` hashing expressions [datafusion-comet] via GitHub
  • Re: [I] Improve performance of `sha` hashing expressions [datafusion-comet] via GitHub
• [PR] perf: Add microbenchmark for hash expressions [datafusion-comet] via GitHub
  • Re: [PR] perf: Add microbenchmark for hash expressions [datafusion-comet] via GitHub
  • Re: [PR] perf: Add microbenchmark for hash expressions [datafusion-comet] via GitHub
  • Re: [PR] perf: Add microbenchmark for hash expressions [datafusion-comet] via GitHub
• [I] Improve performance of `in_list` expressions [datafusion-comet] via GitHub
  • Re: [I] Improve performance of `in_list` expressions [datafusion-comet] via GitHub
• [PR] perf: Add microbenchmark for comparison expressions [datafusion-comet] via GitHub
  • Re: [PR] perf: Add microbenchmark for comparison expressions [datafusion-comet] via GitHub
  • Re: [PR] perf: Add microbenchmark for comparison expressions [datafusion-comet] via GitHub
  • Re: [PR] perf: Add microbenchmark for comparison expressions [datafusion-comet] via GitHub
• [I] Improve performance of conditional expressions [datafusion-comet] via GitHub
  • Re: [I] Improve performance of conditional expressions [datafusion-comet] via GitHub
• [PR] perf: Improve conditional expression microbenchmarks [datafusion-comet] via GitHub
  • Re: [PR] perf: Improve conditional expression microbenchmarks [datafusion-comet] via GitHub
  • Re: [PR] perf: Improve conditional expression microbenchmarks [datafusion-comet] via GitHub
  • Re: [PR] perf: Improve conditional expression microbenchmarks [datafusion-comet] via GitHub
• [I] Comet writer to support nested types [datafusion-comet] via GitHub
• [I] Improve performance of first/last aggregates [datafusion-comet] via GitHub
• [PR] perf: Improve aggregate expression microbenchmarks [datafusion-comet] via GitHub
  • Re: [PR] perf: Improve aggregate expression microbenchmarks [datafusion-comet] via GitHub
  • Re: [PR] perf: Improve aggregate expression microbenchmarks [datafusion-comet] via GitHub
  • Re: [PR] perf: Improve aggregate expression microbenchmarks [datafusion-comet] via GitHub
  • Re: [PR] perf: Improve aggregate expression microbenchmarks [datafusion-comet] via GitHub
• [PR] perf: Improve date/time microbenchmarks [datafusion-comet] via GitHub
  • Re: [PR] perf: Improve date/time microbenchmarks to avoid redundant/duplicate benchmarks [datafusion-comet] via GitHub
  • Re: [PR] perf: Improve date/time microbenchmarks to avoid redundant/duplicate benchmarks [datafusion-comet] via GitHub
  • Re: [PR] perf: Improve date/time microbenchmarks to avoid redundant/duplicate benchmarks [datafusion-comet] via GitHub
• Re: [I] Regression: `DataFrameWriteOptions::with_single_file_output` produces a directory [datafusion] via GitHub
• Re: [I] Attach `Diagnostic` to "invalid function argument types" error [datafusion] via GitHub
  • Re: [I] Attach `Diagnostic` to "invalid function argument types" error [datafusion] via GitHub
  • Re: [I] Attach `Diagnostic` to "invalid function argument types" error [datafusion] via GitHub
• [I] Add ability for microbenchmarks to verify that queries actually ran in Comet [datafusion-comet] via GitHub
• [PR] Fix typo in contributor guide architecture section [datafusion] via GitHub
  • Re: [PR] Fix typo in contributor guide architecture section [datafusion] via GitHub
• [I] Accumulators which don't implement `retract_batch` can still exhibit buggy behaviour [datafusion] via GitHub
  • Re: [I] Accumulators which don't implement `retract_batch` can still exhibit buggy behaviour [datafusion] via GitHub
  • Re: [I] Accumulators which don't implement `retract_batch` can still exhibit buggy behaviour [datafusion] via GitHub
  • Re: [I] Accumulators which don't implement `retract_batch` can still exhibit buggy behaviour [datafusion] via GitHub
  • Re: [I] Accumulators which don't implement `retract_batch` can still exhibit buggy behaviour [datafusion] via GitHub
  • Re: [I] Accumulators which don't implement `retract_batch` can still exhibit buggy behaviour [datafusion] via GitHub
• [PR] Refactor `percentile_cont` to clarify support input types [datafusion] via GitHub
  • Re: [PR] Refactor `percentile_cont` to clarify support input types [datafusion] via GitHub
  • Re: [PR] Refactor `percentile_cont` to clarify support input types [datafusion] via GitHub
  • Re: [PR] Refactor `percentile_cont` to clarify support input types [datafusion] via GitHub
  • Re: [PR] Refactor `percentile_cont` to clarify support input types [datafusion] via GitHub
  • Re: [PR] Refactor `percentile_cont` to clarify support input types [datafusion] via GitHub
  • Re: [PR] Refactor `percentile_cont` to clarify support input types [datafusion] via GitHub
  • Re: [PR] Refactor `percentile_cont` to clarify support input types [datafusion] via GitHub
  • Re: [PR] Refactor `percentile_cont` to clarify support input types [datafusion] via GitHub
  • Re: [PR] Refactor `percentile_cont` to clarify support input types [datafusion] via GitHub
• [PR] feat: Implement Spark function `space` [datafusion] via GitHub
  • Re: [PR] feat: Implement Spark function `space` [datafusion] via GitHub
  • Re: [PR] feat: Implement Spark function `space` [datafusion] via GitHub
  • Re: [PR] feat: Implement Spark function `space` [datafusion] via GitHub
  • Re: [PR] feat: Implement Spark function `space` [datafusion] via GitHub
  • Re: [PR] feat: Implement Spark function `space` [datafusion] via GitHub
  • Re: [PR] feat: Implement Spark function `space` [datafusion] via GitHub
  • Re: [PR] feat: Implement Spark function `space` [datafusion] via GitHub
  • Re: [PR] feat: Implement Spark function `space` [datafusion] via GitHub
  • Re: [PR] feat: Implement Spark function `space` [datafusion] via GitHub
  • Re: [PR] feat: Implement Spark function `space` [datafusion] via GitHub
• [PR] feat: Predicate pruning via statistics propagation [datafusion] via GitHub
  • Re: [PR] feat: Prune complex/nested predicates via statistics propagation [datafusion] via GitHub
  • Re: [PR] feat: Prune complex/nested predicates via statistics propagation [datafusion] via GitHub
  • Re: [PR] feat: Prune complex/nested predicates via statistics propagation [datafusion] via GitHub
  • Re: [PR] feat: Prune complex/nested predicates via statistics propagation [datafusion] via GitHub
  • Re: [PR] feat: Prune complex/nested predicates via statistics propagation [datafusion] via GitHub
• [I] [EPIC] Adaptive Query Execution (AQE) [datafusion-ballista] via GitHub
  • Re: [I] [EPIC] Adaptive Query Execution (AQE) [datafusion-ballista] via GitHub
• Re: [I] [BUG] Error when adding Date32 and Int64 [datafusion] via GitHub
  • Re: [I] [BUG] Error when adding Date32 and Int64 [datafusion] via GitHub
  • Re: [I] [BUG] Error when adding Date32 and Int64 [datafusion] via GitHub
  • Re: [I] [BUG] Error when adding Date32 and Int64 [datafusion] via GitHub
• [I] Add a way to create a new `FilterExec` directly with a projection [datafusion] via GitHub
  • Re: [I] Add a way to create a new `FilterExec` directly with a projection [datafusion] via GitHub
  • Re: [I] Add a way to create a new `FilterExec` directly with a projection [datafusion] via GitHub
  • Re: [I] Add a way to create a new `FilterExec` directly with a projection [datafusion] via GitHub
  • Re: [I] Add a way to create a new `FilterExec` directly with a projection [datafusion] via GitHub
  • Re: [I] Add a way to create a new `FilterExec` directly with a projection [datafusion] via GitHub
  • Re: [I] Add a way to create a new `FilterExec` directly with a projection [datafusion] via GitHub
  • Re: [I] Add a way to create a new `FilterExec` directly with a projection [datafusion] via GitHub
• [I] Remove query type sql from ballista protocol [datafusion-ballista] via GitHub
  • Re: [I] Remove query type `sql` from ballista protocol [datafusion-ballista] via GitHub
  • Re: [I] Remove query type `sql` from ballista protocol [datafusion-ballista] via GitHub
• [I] Update to DataFusion v.52 [datafusion-ballista] via GitHub
  • Re: [I] Update to DataFusion v.52 [datafusion-ballista] via GitHub
  • Re: [I] Update to DataFusion v.52 [datafusion-ballista] via GitHub
• Re: [PR] Avoid skew in Roundrobin repartition [datafusion] via GitHub
  • Re: [PR] Avoid skew in Roundrobin repartition [datafusion] via GitHub
  • Re: [PR] Avoid skew in Roundrobin repartition [datafusion] via GitHub
• Re: [I] Improve `DistributedQueryExec` adding job related metrics [datafusion-ballista] via GitHub
• [PR] chore(deps): bump taiki-e/install-action from 2.64.0 to 2.65.12 [datafusion-sandbox] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.64.0 to 2.65.12 [datafusion-sandbox] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.64.0 to 2.65.12 [datafusion-sandbox] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.64.0 to 2.65.12 [datafusion-sandbox] via GitHub
• Re: [I] ArrayIndex support with expression as key [datafusion] via GitHub
  • Re: [I] ArrayIndex support with expression as key [datafusion] via GitHub
• [PR] fix: handle invalid byte ranges in calculate_range for single-line files [datafusion] via GitHub
  • Re: [PR] fix: handle invalid byte ranges in calculate_range for single-line files [datafusion] via GitHub
  • Re: [PR] fix: handle invalid byte ranges in calculate_range for single-line files [datafusion] via GitHub
• Re: [I] Comparison of different ScalarValue types produces the silent errors [datafusion] via GitHub
  • Re: [I] Comparison of different ScalarValue types produces the silent errors [datafusion] via GitHub
• [PR] Add custom nullability to SparkMakeInterval [datafusion] via GitHub
  • Re: [PR] Add custom nullability to SparkMakeInterval [datafusion] via GitHub
  • Re: [PR] Add custom nullability to SparkMakeInterval [datafusion] via GitHub
  • Re: [PR] Add custom nullability to SparkMakeInterval [datafusion] via GitHub
  • Re: [PR] Add custom nullability to SparkMakeInterval [datafusion] via GitHub
  • Re: [PR] Add custom nullability to SparkMakeInterval [datafusion] via GitHub
  • Re: [PR] Add custom nullability to SparkMakeInterval [datafusion] via GitHub
• Re: [I] Replace `TypeSignature::Numeric` with `TypeSignature::Coercible` [datafusion] via GitHub
  • Re: [I] Replace `TypeSignature::Numeric` with `TypeSignature::Coercible` [datafusion] via GitHub
  • Re: [I] Replace `TypeSignature::Numeric` with `TypeSignature::Coercible` [datafusion] via GitHub
• [I] `calculate_range` creates invalid byte ranges for single-line JSON files [datafusion] via GitHub
  • Re: [I] `calculate_range` creates invalid byte ranges for single-line JSON files [datafusion] via GitHub
  • Re: [I] `calculate_range` creates invalid byte ranges for single-line JSON files [datafusion] via GitHub
• [PR] refactor: Use TypeSignatureClass::Float for isnan/iszero/nanvl signatures [datafusion] via GitHub
  • Re: [PR] refactor: Use `Signature::coercible` for isnan/iszero/nanvl [datafusion] via GitHub
  • Re: [PR] refactor: Use `Signature::coercible` for isnan/iszero/nanvl [datafusion] via GitHub
  • Re: [PR] refactor: Use `Signature::coercible` for isnan/iszero/nanvl [datafusion] via GitHub
• [PR] Further refactoring of type coercion function code [datafusion] via GitHub
  • Re: [PR] Further refactoring of type coercion function code [datafusion] via GitHub
  • Re: [PR] Further refactoring of type coercion function code [datafusion] via GitHub
  • Re: [PR] Further refactoring of type coercion function code [datafusion] via GitHub
• [PR] perf: optimize `HashTableLookupExpr::evaluate` [datafusion] via GitHub
  • Re: [PR] perf: optimize `HashTableLookupExpr::evaluate` [datafusion] via GitHub
  • Re: [PR] perf: optimize `HashTableLookupExpr::evaluate` [datafusion] via GitHub
  • Re: [PR] perf: optimize `HashTableLookupExpr::evaluate` [datafusion] via GitHub
  • Re: [PR] perf: optimize `HashTableLookupExpr::evaluate` [datafusion] via GitHub
  • Re: [PR] perf: optimize `HashTableLookupExpr::evaluate` [datafusion] via GitHub
  • Re: [PR] perf: optimize `HashTableLookupExpr::evaluate` [datafusion] via GitHub
  • Re: [PR] perf: optimize `HashTableLookupExpr::evaluate` [datafusion] via GitHub
  • Re: [PR] perf: optimize `HashTableLookupExpr::evaluate` [datafusion] via GitHub
  • Re: [PR] perf: optimize `HashTableLookupExpr::evaluate` [datafusion] via GitHub
  • Re: [PR] perf: optimize `HashTableLookupExpr::evaluate` [datafusion] via GitHub
  • Re: [PR] perf: optimize `HashTableLookupExpr::evaluate` [datafusion] via GitHub
  • Re: [PR] perf: optimize `HashTableLookupExpr::evaluate` [datafusion] via GitHub
  • Re: [PR] perf: optimize `HashTableLookupExpr::evaluate` [datafusion] via GitHub
  • Re: [PR] perf: optimize `HashTableLookupExpr::evaluate` [datafusion] via GitHub
  • Re: [PR] perf: optimize `HashTableLookupExpr::evaluate` [datafusion] via GitHub
  • Re: [PR] perf: optimize `HashTableLookupExpr::evaluate` [datafusion] via GitHub
  • Re: [PR] perf: optimize `HashTableLookupExpr::evaluate` [datafusion] via GitHub
  • Re: [PR] perf: optimize `HashTableLookupExpr::evaluate` [datafusion] via GitHub
  • Re: [PR] perf: optimize `HashTableLookupExpr::evaluate` [datafusion] via GitHub
  • Re: [PR] perf: optimize `HashTableLookupExpr::evaluate` [datafusion] via GitHub
  • Re: [PR] perf: optimize `HashTableLookupExpr::evaluate` [datafusion] via GitHub
  • Re: [PR] perf: optimize `HashTableLookupExpr::evaluate` [datafusion] via GitHub
  • Re: [PR] perf: optimize `HashTableLookupExpr::evaluate` [datafusion] via GitHub
  • Re: [PR] perf: optimize `HashTableLookupExpr::evaluate` [datafusion] via GitHub
  • Re: [PR] perf: optimize `HashTableLookupExpr::evaluate` [datafusion] via GitHub
  • Re: [PR] perf: optimize `HashTableLookupExpr::evaluate` [datafusion] via GitHub
  • Re: [PR] perf: optimize `HashTableLookupExpr::evaluate` [datafusion] via GitHub
• [PR] chore(deps): bump taiki-e/install-action from 2.65.10 to 2.65.11 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.65.10 to 2.65.11 [datafusion] via GitHub

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