github  

Messages by Thread

• [I] optimize_projections fails on leaf-expression pushdown over a view with an unconsumed column [datafusion] via GitHub
• [PR] refactor(shim): add new shim infra with `enableIfVer` macro to avoid shims duplication [datafusion-comet] via GitHub
• [I] chore: Remove invalid `spark.sql.optimizer.constantFolding.enabled` configuration from java benchmarks. [datafusion-comet] via GitHub
  • Re: [I] chore: Remove invalid `spark.sql.optimizer.constantFolding.enabled` configuration from java benchmarks. [datafusion-comet] via GitHub
• Re: [I] Emit warning with attached `Diagnostic` when doing `= NULL` [datafusion] via GitHub
• Re: [I] Add input_file_name built-in function [datafusion] via GitHub
  • Re: [I] Add input_file_name built-in function [datafusion] via GitHub
• [I] pref: Use builtin compression for arrow ipc writer [datafusion-comet] via GitHub
• [PR] refactor: Simplify heap size estimation for arrays [datafusion] via GitHub
• [PR] refactor(hash-aggr): Migrate existing tests on `GroupsHashAggregateStream` [datafusion] via GitHub
• [PR] chore(ci): Deploy WebTUI to nightlies.a.o [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): Deploy WebTUI to nightlies.a.o [datafusion-ballista] via GitHub
• [I] Avoid breaking changes for table function args [datafusion] via GitHub
• Re: [PR] feat: add PostgreSQL EXCLUDE constraint parsing [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] feat: add PostgreSQL EXCLUDE constraint parsing [datafusion-sqlparser-rs] via GitHub
• [PR] Allow datafusion-ffi to opt out of proto parquet [datafusion] via GitHub
  • Re: [PR] feat: Allow datafusion-ffi to opt out of proto parquet [datafusion] via GitHub
  • Re: [PR] feat: Allow datafusion-ffi to opt out of proto parquet [datafusion] via GitHub
• [PR] fix: use DataFrame.__name__ instead of hardcoded string in metaclass method wrapping [datafusion-ballista] via GitHub
  • Re: [PR] fix: use DataFrame.__name__ instead of hardcoded string in metaclass method wrapping [datafusion-ballista] via GitHub
  • Re: [PR] fix: use DataFrame.__name__ instead of hardcoded string in metaclass method wrapping [datafusion-ballista] via GitHub
  • Re: [PR] fix: use DataFrame.__name__ instead of hardcoded string in metaclass method wrapping [datafusion-ballista] via GitHub
  • Re: [PR] fix: use DataFrame.__name__ instead of hardcoded string in metaclass method wrapping [datafusion-ballista] via GitHub
  • Re: [PR] fix: use DataFrame.__name__ instead of hardcoded string in metaclass method wrapping [datafusion-ballista] via GitHub
  • Re: [PR] fix: use DataFrame.__name__ instead of hardcoded string in metaclass method wrapping [datafusion-ballista] via GitHub
  • Re: [PR] fix: use DataFrame.__name__ instead of hardcoded string in metaclass method wrapping [datafusion-ballista] via GitHub
  • Re: [PR] fix: use DataFrame.__name__ instead of hardcoded string in metaclass method wrapping [datafusion-ballista] via GitHub
  • Re: [PR] fix: use DataFrame.__name__ instead of hardcoded string in metaclass method wrapping [datafusion-ballista] via GitHub
  • Re: [PR] fix: use DataFrame.__name__ instead of hardcoded string in metaclass method wrapping [datafusion-ballista] via GitHub
  • Re: [PR] fix: use DataFrame.__name__ instead of hardcoded string in metaclass method wrapping [datafusion-ballista] via GitHub
  • Re: [PR] fix: use DataFrame.__name__ instead of hardcoded string in metaclass method wrapping [datafusion-ballista] via GitHub
  • Re: [PR] fix: use DataFrame.__name__ instead of hardcoded string in metaclass method wrapping [datafusion-ballista] via GitHub
  • Re: [PR] fix: use DataFrame.__name__ instead of hardcoded string in metaclass method wrapping [datafusion-ballista] via GitHub
• Re: [I] PostgreSQL compatibility: `time - interval` should wrap within the 24-hour time domain [datafusion] via GitHub
• [PR] fix: isolate anonymous file statistics cache [datafusion] via GitHub
• [PR] chore(deps): bump tui-big-text from 0.8.5 to 0.8.7 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump tui-big-text from 0.8.5 to 0.8.7 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump bytesize from 2.3.1 to 2.4.0 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump bytesize from 2.3.1 to 2.4.0 [datafusion-ballista] via GitHub
• [I] PhysicalExprSimplifier folds DynamicFilterPhysicalExpr wrapper, breaking live link to TopK updates [datafusion] via GitHub
  • Re: [I] PhysicalExprSimplifier folds DynamicFilterPhysicalExpr wrapper, breaking live link to TopK updates [datafusion] via GitHub
• [PR] feat: warn on NULL equality predicates [datafusion] via GitHub
• Re: [PR] Reapply "Fix/support duplicate column names" [datafusion] via GitHub
• Re: [PR] feat: Extend `sqllogictest` framework to uptake custom `datafusion.format.*` settings [datafusion] via GitHub
• [PR] bug: fix empty projection serde ambiguity bug [datafusion-ballista] via GitHub
• Re: [I] Enable external operator reclaim / spill hooks for external memory managers [datafusion] via GitHub
• [PR] PostgreSQL: support right-deep join chains (deferred ON clauses) [datafusion-sqlparser-rs] via GitHub
• Re: [I] bug: datafusion-spark string literals don't interpret escape sequences like Spark [datafusion] via GitHub
• [PR] Support spilling for WindowAggExec [datafusion] via GitHub
• [I] Support spilling for WindowAggExec [datafusion] via GitHub
  • Re: [I] Support spilling for WindowAggExec [datafusion] via GitHub
  • Re: [I] Support spilling for WindowAggExec [datafusion] via GitHub
• Re: [I] Support additive schema evolution for `List<Struct>` / nested container types in Parquet scans [datafusion] via GitHub
• Re: [I] [Spark] SparkWidthBucket return_type is Int32, should be Int64 to match Spark [datafusion] via GitHub
• Re: [I] Optimize object store accesses for the CSV scanner [datafusion] via GitHub
  • Re: [I] Optimize object store accesses for the CSV scanner [datafusion] via GitHub
  • Re: [I] Optimize object store accesses for the CSV scanner [datafusion] via GitHub
  • Re: [I] Optimize object store accesses for the CSV scanner [datafusion] via GitHub
• [I] Discussion: remove incompatible native implementations that have a codegen dispatch fallback? [datafusion-comet] via GitHub
  • Re: [I] Discussion: remove incompatible native implementations that have a codegen dispatch fallback? [datafusion-comet] via GitHub
• [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
• Re: [PR] fix(postgres): treat FULLTEXT and SPATIAL as unreserved identifiers [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] fix(postgres): treat FULLTEXT and SPATIAL as unreserved identifiers [datafusion-sqlparser-rs] 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: Use NativeType in get_example_type, information schema [datafusion] via GitHub
• Re: [PR] chore: attach Diagnostic to unary operator type errors [datafusion] via GitHub
• Re: [PR] feat: early group emission with emit+reset for partial aggregation [datafusion] via GitHub
• Re: [PR] Centralize relation-scope binding and enforce duplicate alias validation in SQL planner [datafusion] via GitHub
  • Re: [PR] Centralize relation-scope binding and enforce duplicate alias validation in SQL planner [datafusion] via GitHub
• [I] OpenLineage support [datafusion] via GitHub
• [PR] build(deps): bump arrow-schema from 58.3.0 to 59.0.0 [datafusion-python] via GitHub
• [PR] build(deps): bump arrow from 58.3.0 to 59.0.0 [datafusion-python] via GitHub
• [PR] build(deps): bump arrow-select from 58.3.0 to 59.0.0 [datafusion-python] via GitHub
• [PR] build(deps): bump prost from 0.14.3 to 0.14.4 [datafusion-python] via GitHub
• [PR] build(deps): bump arrow-array from 58.3.0 to 59.0.0 [datafusion-python] via GitHub
• Re: [PR] build(deps): bump uuid from 1.23.2 to 1.23.3 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump uuid from 1.23.2 to 1.23.3 [datafusion-python] via GitHub
  • [PR] build(deps): bump uuid from 1.23.2 to 1.23.3 [datafusion-python] via GitHub
• [PR] build(deps): bump pyo3-log from 0.13.3 to 0.13.4 [datafusion-python] via GitHub
• [PR] fix: graceful error for deeply nested expressions instead of stack overflow [datafusion] via GitHub
• [PR] fix: surface SparkArithmeticException(DIVIDE_BY_ZERO) for divide-by-zero in dispatched ScalaUDF path [datafusion-comet] via GitHub
  • Re: [PR] fix: surface SparkArithmeticException(DIVIDE_BY_ZERO) for divide-by-zero in dispatched ScalaUDF path [datafusion-comet] via GitHub
  • Re: [PR] fix: surface SparkArithmeticException(DIVIDE_BY_ZERO) for divide-by-zero in dispatched ScalaUDF path [datafusion-comet] via GitHub
• [PR] docs: adopt issue #4419 terminology in data sources guide [datafusion-comet] via GitHub
• [PR] docs: adopt issue #4419 terminology in Scala/Java UDF guide [datafusion-comet] via GitHub
  • Re: [PR] docs: adopt issue #4419 terminology in Scala/Java UDF guide [datafusion-comet] via GitHub
• Re: [PR] feat(parquet): sub-column projection pushdown for struct fields [datafusion] via GitHub
• [PR] docs: adopt issue #4419 terminology in Understanding Comet Plans guide [datafusion-comet] via GitHub
  • Re: [PR] docs: adopt issue #4419 terminology in Understanding Comet Plans guide [datafusion-comet] via GitHub
• Re: [PR] fix: rescale decimal results in floor and ceil to scale 0 [datafusion] via GitHub
  • Re: [PR] fix: rescale decimal results in floor and ceil to scale 0 [datafusion] via GitHub
• Re: [PR] fix: materialize ConstantColumnVector on Comet's serialize/export paths [datafusion-comet] via GitHub
• Re: [PR] feat: surface native parquet read failures as FAILED_READ_FILE [datafusion-comet] via GitHub
• [PR] docs: reflect codegen dispatch fallback in expression compatibility guide [datafusion-comet] via GitHub
  • Re: [PR] docs: reflect codegen dispatch fallback in expression compatibility guide [datafusion-comet] via GitHub
  • Re: [PR] docs: reflect codegen dispatch fallback in expression compatibility guide [datafusion-comet] via GitHub
• [PR] fix: parquet limit pruning for row group selections [datafusion] via GitHub
• [I] limit pruning ignores `RowSelection` [datafusion] via GitHub
  • Re: [I] limit pruning ignores `RowSelection` [datafusion] via GitHub
• [D] Delta Contribution Review Plan [datafusion-comet] via GitHub
• [PR] feat: support file-level parquet row selections [datafusion] via GitHub
• [I] Support file-level Parquet `RowSelection` [datafusion] via GitHub
  • Re: [I] Support file-level Parquet `RowSelection` [datafusion] via GitHub
• [PR] Remove orphaned `snowflake_flatten_validation.sql` script [datafusion] via GitHub
• [PR] Upgrade minimal tokio-postgres version to address security advisory [datafusion] via GitHub
  • Re: [PR] Upgrade minimal tokio-postgres version to address security advisory [datafusion] via GitHub
  • Re: [PR] Upgrade minimal tokio-postgres version to address security advisory [datafusion] via GitHub
• [PR] Implement map-to-string casting [datafusion-comet] via GitHub
  • Re: [PR] feat: Implement map-to-string casting [datafusion-comet] via GitHub
• Re: [PR] Unify AVG group state conversion and filter handling across Spark and built-in accumulators [datafusion] via GitHub
  • Re: [PR] Unify AVG group state conversion and filter handling across Spark and built-in accumulators [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] perf: specialize `InListExpr` static filters for Utf8, Utf8View, and LargeUtf8 [datafusion] via GitHub
• Re: [I] `date_bin` scalar & array paths have different error behaviours [datafusion] via GitHub
• Re: [I] [Bug] decode ignores Spark 4.0 legacyCharsets and legacyErrorAction flags [datafusion-comet] via GitHub
• [I] Deep `WHERE` clause overflow stack in `select_to_plan` via derived `expr::clone` [datafusion] via GitHub
  • Re: [I] Deep `WHERE` clause overflow stack in `select_to_plan` via derived `expr::clone` [datafusion] via GitHub
• Re: [I] [EPIC] Add support for all join operators [datafusion-comet] via GitHub
• [I] panic: `ProjectionExprs::project_statistics` index out of bounds [datafusion] via GitHub
  • Re: [I] panic: `ProjectionExprs::project_statistics` index out of bounds [datafusion] via GitHub
  • Re: [I] panic: `ProjectionExprs::project_statistics` index out of bounds [datafusion] via GitHub
  • Re: [I] panic: `ProjectionExprs::project_statistics` index out of bounds [datafusion] via GitHub
• [I] Gate non-default StringTypeWithCollation inputs on Spark 4.0 datetime expressions [datafusion-comet] via GitHub
  • Re: [I] Gate non-default StringTypeWithCollation inputs on Spark 4.0 datetime expressions [datafusion-comet] via GitHub
• Re: [I] date/time expression audit follow-ups (from #4448) [datafusion-comet] via GitHub
  • Re: [I] date/time expression audit follow-ups (from #4448) [datafusion-comet] via GitHub
• [PR] fix: correct stale unix_timestamp NTZ and date_format codegen-default doc text (#4502) [datafusion-comet] via GitHub
• [PR] fix: accept CometBroadcastNestedLoopJoinExec in Spark 3.4 SPARK-34593 plan assertions [datafusion-comet] via GitHub
  • Re: [PR] fix: accept CometBroadcastNestedLoopJoinExec in Spark 3.4 SPARK-34593 plan assertions [datafusion-comet] via GitHub
• [PR] Add ColumnarValue::to_array_variant method (follow-up to #22784) [datafusion] via GitHub
• Re: [I] Add native implementations of`RegExpExtract` and `RegExpExtractAll` [datafusion-comet] via GitHub
• Re: [PR] feat: informational message channel + generic native-available hint [datafusion-comet] via GitHub
  • Re: [PR] feat: informational message channel + generic native-available hint [datafusion-comet] via GitHub
  • Re: [PR] feat: informational message channel + generic native-available hint [datafusion-comet] via GitHub
• [PR] ci: Setup valid Cargo.lock for `depcheck` [datafusion] via GitHub
  • Re: [PR] ci: Setup valid Cargo.lock for `depcheck` [datafusion] via GitHub
  • Re: [PR] ci: Setup valid `Cargo.lock` for `depcheck` to unblock CI [datafusion] via GitHub
  • Re: [PR] ci: Setup valid `Cargo.lock` for `depcheck` to unblock CI [datafusion] via GitHub
  • Re: [PR] ci: Setup valid `Cargo.lock` for `depcheck` to unblock CI [datafusion] via GitHub
• [I] Dependency checker fails to build [datafusion] via GitHub
  • Re: [I] Dependency checker fails to build [datafusion] via GitHub
• [PR] chore: set default value for `spark.comet.memoryOverhead` in tests [datafusion-comet] via GitHub
  • Re: [PR] chore: refactor CI to have centralized SBT action [datafusion-comet] via GitHub
• Re: [PR] build(deps): bump pyjwt from 2.10.1 to 2.12.0 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump pyjwt from 2.10.1 to 2.12.0 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump pyjwt from 2.10.1 to 2.12.0 [datafusion-python] via GitHub
• Re: [PR] build(deps): bump idna from 3.10 to 3.15 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump idna from 3.10 to 3.15 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump idna from 3.10 to 3.15 [datafusion-python] via GitHub
• Re: [PR] build(deps): bump pygments from 2.19.1 to 2.20.0 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump pygments from 2.19.1 to 2.20.0 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump pygments from 2.19.1 to 2.20.0 [datafusion-python] via GitHub
• Re: [PR] build(deps): bump requests from 2.32.3 to 2.33.0 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump requests from 2.32.3 to 2.33.0 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump requests from 2.32.3 to 2.33.0 [datafusion-python] via GitHub
• Re: [PR] build(deps): bump urllib3 from 2.3.0 to 2.7.0 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump urllib3 from 2.3.0 to 2.7.0 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump urllib3 from 2.3.0 to 2.7.0 [datafusion-python] via GitHub
• Re: [PR] build(deps): bump pynacl from 1.5.0 to 1.6.2 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump pynacl from 1.5.0 to 1.6.2 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump pynacl from 1.5.0 to 1.6.2 [datafusion-python] via GitHub
• Re: [PR] build(deps): bump cryptography from 44.0.0 to 46.0.7 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump cryptography from 44.0.0 to 46.0.7 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump cryptography from 44.0.0 to 46.0.7 [datafusion-python] via GitHub
• [PR] bug: fix_corrupt_patch_file [datafusion-comet] via GitHub
  • Re: [PR] bug: fix corrupt 4.1.2 patch file [datafusion-comet] via GitHub
  • Re: [PR] bug: fix corrupt 4.1.2 patch file [datafusion-comet] via GitHub
• [PR] Revert "feat: Native Broadcast nested loop join support" [datafusion-comet] via GitHub
  • Re: [PR] chore:"feat: Native Broadcast nested loop join support" [datafusion-comet] via GitHub
  • Re: [PR] chore:"feat: Native Broadcast nested loop join support" [datafusion-comet] via GitHub
• [PR] build(deps-dev): bump setuptools from 75.8.0 to 78.1.1 [datafusion-python] via GitHub
• [PR] build(deps-dev): bump jinja2 from 3.1.5 to 3.1.6 [datafusion-python] via GitHub

• Earlier messages