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• Re: [PR] Resolved bug in `parse_function_arg` [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Resolved bug in `parse_function_arg` [datafusion-sqlparser-rs] via GitHub
• Re: [PR] Secure GitHub Actions by using specific SHA hashes [datafusion] via GitHub
• Re: [PR] [POC] feat: Add datafusion-storage [datafusion] via GitHub
  • Re: [PR] [POC] feat: Add datafusion-storage [datafusion] via GitHub
• Re: [I] Error `NamedStructField should be rewritten in OperatorToFunction with subquery` if query is wrapped in view [datafusion] via GitHub
• Re: [I] Open Variant Type for semi-structured data [datafusion] via GitHub
• [PR] fix : correct schema type checking in native_iceberg_compat [datafusion-comet] via GitHub
  • Re: [PR] fix : correct schema type checking in native_iceberg_compat [datafusion-comet] via GitHub
  • Re: [PR] fix: correct schema type checking in native_iceberg_compat [datafusion-comet] via GitHub
  • Re: [PR] fix: correct schema type checking in native_iceberg_compat [datafusion-comet] via GitHub
  • Re: [PR] fix: correct schema type checking in native_iceberg_compat [datafusion-comet] via GitHub
  • Re: [PR] fix: correct schema type checking in native_iceberg_compat [datafusion-comet] via GitHub
  • Re: [PR] fix: correct schema type checking in native_iceberg_compat [datafusion-comet] via GitHub
  • Re: [PR] fix: correct schema type checking in native_iceberg_compat [datafusion-comet] via GitHub
  • Re: [PR] fix: correct schema type checking in native_iceberg_compat [datafusion-comet] via GitHub
  • Re: [PR] fix: correct schema type checking in native_iceberg_compat [datafusion-comet] via GitHub
  • Re: [PR] fix: correct schema type checking in native_iceberg_compat [datafusion-comet] via GitHub
  • Re: [PR] fix: correct schema type checking in native_iceberg_compat [datafusion-comet] via GitHub
  • Re: [PR] fix: correct schema type checking in native_iceberg_compat [datafusion-comet] via GitHub
  • Re: [PR] fix: correct schema type checking in native_iceberg_compat [datafusion-comet] via GitHub
• [I] [native_datafusion] Spark SQL failure "select nested field from a complex map key using map_keys" [datafusion-comet] via GitHub
  • Re: [I] [native_datafusion] Spark SQL failure "select nested field from a complex map key using map_keys" [datafusion-comet] via GitHub
  • Re: [I] [native_datafusion] Spark SQL failure "select nested field from a complex map key using map_keys" [datafusion-comet] via GitHub
  • Re: [I] [native_datafusion] Spark SQL failure "select nested field from a complex map key using map_keys" [datafusion-comet] via GitHub
  • Re: [I] [native_datafusion] Spark SQL failure "select nested field from a complex map key using map_keys" [datafusion-comet] via GitHub
  • Re: [I] [native_datafusion] Spark SQL failure "select nested field from a complex map key using map_keys" [datafusion-comet] via GitHub
• Re: [I] Support data source sampling with TABLESAMPLE [datafusion] via GitHub
• [PR] Enable more tests [datafusion-comet] via GitHub
  • Re: [PR] chore: Enable more complex type tests [datafusion-comet] via GitHub
  • Re: [PR] chore: Enable more complex type tests [datafusion-comet] via GitHub
  • Re: [PR] chore: Enable more complex type tests [datafusion-comet] via GitHub
• Re: [I] Add metadata support for Aggregate and Window Functions [datafusion] via GitHub
• Re: [PR] Support `GroupsAccumulator` for Avg duration [datafusion] via GitHub
  • Re: [PR] Support `GroupsAccumulator` for Avg duration [datafusion] via GitHub
  • Re: [PR] Support `GroupsAccumulator` for Avg duration [datafusion] via GitHub
  • Re: [PR] Support `GroupsAccumulator` for Avg duration [datafusion] via GitHub
  • Re: [PR] Support `GroupsAccumulator` for Avg duration [datafusion] via GitHub
  • Re: [PR] Support `GroupsAccumulator` for Avg duration [datafusion] via GitHub
  • Re: [PR] Support `GroupsAccumulator` for Avg duration [datafusion] via GitHub
  • Re: [PR] Support `GroupsAccumulator` for Avg duration [datafusion] via GitHub
  • Re: [PR] Support `GroupsAccumulator` for Avg duration [datafusion] via GitHub
• Re: [I] [Epic] Remove Sort Merge Join Experimental status [datafusion] via GitHub
• Re: [I] Stack overflow for substrait functions with large argument lists that translate to DataFusion binary operators [datafusion] via GitHub
• Re: [PR] fix: Add coercion rules for Float16 types [datafusion] via GitHub
  • Re: [PR] fix: Add coercion rules for Float16 types [datafusion] via GitHub
  • Re: [PR] fix: Add coercion rules for Float16 types [datafusion] via GitHub
• [PR] feat: disable task stage plan binary cache [datafusion-ballista] via GitHub
  • Re: [PR] feat: disable task stage plan binary cache [datafusion-ballista] via GitHub
• [PR] add_docs_to_run_single_test [datafusion-comet] via GitHub
  • Re: [PR] add_docs_to_run_single_test [datafusion-comet] via GitHub
  • Re: [PR] docs: Add instructions for running individual Spark SQL tests from sbt [datafusion-comet] via GitHub
  • Re: [PR] docs: Add instructions for running individual Spark SQL tests from sbt [datafusion-comet] via GitHub
  • Re: [PR] docs: Add instructions for running individual Spark SQL tests from sbt [datafusion-comet] via GitHub
• [I] Doc changes to provide steps to run individual unit tests in Apache-Spark [datafusion-comet] via GitHub
  • Re: [I] Doc changes to provide steps to run individual unit tests in Apache-Spark [datafusion-comet] via GitHub
• Re: [PR] chore: Reduce repetition in the parameter type inference tests [datafusion] via GitHub
  • Re: [PR] chore: Reduce repetition in the parameter type inference tests [datafusion] via GitHub
  • Re: [PR] chore: Reduce repetition in the parameter type inference tests [datafusion] via GitHub
  • Re: [PR] chore: Reduce repetition in the parameter type inference tests [datafusion] via GitHub
• [PR] ADD query and documentation [datafusion] via GitHub
  • Re: [PR] ADD query and documentation [datafusion] via GitHub
  • Re: [PR] minor: Add benchmark query and corresponding documentation for Average Duration [datafusion] via GitHub
  • Re: [PR] minor: Add benchmark query and corresponding documentation for Average Duration [datafusion] via GitHub
  • Re: [PR] minor: Add benchmark query and corresponding documentation for Average Duration [datafusion] via GitHub
  • Re: [PR] minor: Add benchmark query and corresponding documentation for Average Duration [datafusion] via GitHub
• [PR] chore(deps): bump apache-avro from 0.17.0 to 0.18.0 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump apache-avro from 0.17.0 to 0.18.0 [datafusion] via GitHub
• [I] [native_datafusion] No support for default values for Parquet columns [datafusion-comet] via GitHub
  • Re: [I] [native_datafusion] No support for default values for Parquet columns [datafusion-comet] via GitHub
  • Re: [I] [native_datafusion] No support for default values for Parquet columns [datafusion-comet] via GitHub
• [PR] Add macro for creating DataFrame (#16090) [datafusion] via GitHub
  • Re: [PR] Add macro for creating DataFrame (#16090) [datafusion] via GitHub
  • Re: [PR] Add macro for creating DataFrame (#16090) [datafusion] via GitHub
  • Re: [PR] Add macro for creating DataFrame (#16090) [datafusion] via GitHub
  • Re: [PR] Add macro for creating DataFrame (#16090) [datafusion] via GitHub
  • Re: [PR] Add macro for creating DataFrame (#16090) [datafusion] via GitHub
  • Re: [PR] Add macro for creating DataFrame (#16090) [datafusion] via GitHub
  • Re: [PR] Add macro for creating DataFrame (#16090) [datafusion] via GitHub
  • Re: [PR] Add macro for creating DataFrame (#16090) [datafusion] via GitHub
• [PR] Fix docs generation in CI [datafusion] via GitHub
  • Re: [PR] Fix docs generation in CI [datafusion] via GitHub
  • Re: [PR] Fix docs generation in CI [datafusion] via GitHub
• [PR] Fix CI on main: Add window function examples in code [datafusion] via GitHub
  • Re: [PR] Fix CI on main: Add window function examples in code [datafusion] via GitHub
  • Re: [PR] Fix CI on main: Add window function examples in code [datafusion] via GitHub
  • Re: [PR] Fix CI on main: Add window function examples in code [datafusion] via GitHub
  • Re: [PR] Fix CI on main: Add window function examples in code [datafusion] via GitHub
  • Re: [PR] Fix CI on main: Add window function examples in code [datafusion] via GitHub
• [PR] Label Spark functions PRs with spark label [datafusion] via GitHub
  • Re: [PR] Label Spark functions PRs with spark label [datafusion] via GitHub
  • Re: [PR] Label Spark functions PRs with spark label [datafusion] via GitHub
  • Re: [PR] Label Spark functions PRs with spark label [datafusion] via GitHub
• [I] Weekly Plan: Andrew Lamb 2025-05-12 [datafusion] via GitHub
  • Re: [I] Weekly Plan: Andrew Lamb 2025-05-19 [datafusion] via GitHub
  • Re: [I] Weekly Plan: Andrew Lamb 2025-05-19 [datafusion] via GitHub
  • Re: [I] Weekly Plan: Andrew Lamb 2025-05-12 [datafusion] via GitHub
  • Re: [I] Weekly Plan: Andrew Lamb 2025-05-12 [datafusion] via GitHub
• Re: [I] [Feature] Add SQL Example for Aggregate functions [datafusion] via GitHub
• [PR] Update documentation for `datafusion.execution.collect_statistics` [datafusion] via GitHub
  • Re: [PR] Update documentation for `datafusion.execution.collect_statistics` [datafusion] via GitHub
  • Re: [PR] Update documentation for `datafusion.execution.collect_statistics` [datafusion] via GitHub
  • Re: [PR] Update documentation for `datafusion.execution.collect_statistics` [datafusion] via GitHub
  • Re: [PR] Update documentation for `datafusion.execution.collect_statistics` [datafusion] via GitHub
  • Re: [PR] Update documentation for `datafusion.execution.collect_statistics` [datafusion] via GitHub
• [PR] Release DataFusion 47.0.0 [datafusion-python] via GitHub
  • Re: [PR] Release DataFusion 47.0.0 [datafusion-python] via GitHub
• Re: [PR] Pin to pre-release object store [datafusion] via GitHub
  • Re: [PR] Pin to pre-release object store [datafusion] via GitHub
• [I] Migrate memory_pool/pool tests to insta [datafusion] via GitHub
  • Re: [I] Migrate memory_pool/pool tests to insta [datafusion] via GitHub
  • Re: [I] Migrate memory_pool/pool tests to insta [datafusion] via GitHub
  • Re: [I] Migrate memory_pool/pool tests to insta [datafusion] via GitHub
• Re: [I] Mismatched configuration between `SessionContext::register_parquet` and `CREATE EXTERNAL TABLE` [datafusion] via GitHub
  • Re: [I] Mismatched configuration between `SessionContext::register_parquet` and `CREATE EXTERNAL TABLE` [datafusion] via GitHub
  • Re: [I] Mismatched configuration between `SessionContext::register_parquet` and `CREATE EXTERNAL TABLE` [datafusion] via GitHub
• [PR] Add test that demonstrate behavior for `collect_statistics`, update documetnation [datafusion] via GitHub
  • Re: [PR] Add test that demonstrate behavior for `collect_statistics`, update documetnation [datafusion] via GitHub
  • Re: [PR] Add test that demonstrate behavior for `collect_statistics`, update documetnation [datafusion] via GitHub
  • Re: [PR] Add test that demonstrate behavior for `collect_statistics` [datafusion] via GitHub
  • Re: [PR] Add test that demonstrate behavior for `collect_statistics` [datafusion] via GitHub
  • Re: [PR] Add test that demonstrate behavior for `collect_statistics` [datafusion] via GitHub
• Re: [I] Question: can we collect statistic if the table doesn't collect statistic during creating [datafusion] via GitHub
  • Re: [I] Question: can we collect statistic if the table doesn't collect statistic during creating [datafusion] via GitHub
• [PR] feat: make error handling in indent explain consistent with that in tree [datafusion] via GitHub
  • Re: [PR] feat: make error handling in indent explain consistent with that in tree [datafusion] via GitHub
  • Re: [PR] feat: make error handling in indent explain consistent with that in tree [datafusion] via GitHub
  • Re: [PR] feat: make error handling in indent explain consistent with that in tree [datafusion] via GitHub
• Re: [PR] build(deps): bump astral-sh/setup-uv from 5 to 6 [datafusion-python] via GitHub
• [PR] Add test for `datafusion.execution.collect_statistics` setting [datafusion] via GitHub
  • Re: [PR] Add test for `datafusion.execution.collect_statistics` setting [datafusion] via GitHub
  • Re: [PR] Add test for `datafusion.execution.collect_statistics` setting [datafusion] via GitHub
  • Re: [PR] Add test for `datafusion.execution.collect_statistics` setting [datafusion] via GitHub
  • Re: [PR] Add test for `datafusion.execution.collect_statistics` setting [datafusion] via GitHub
• Re: [PR] build(deps): bump async-trait from 0.1.86 to 0.1.88 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump async-trait from 0.1.86 to 0.1.88 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump async-trait from 0.1.86 to 0.1.88 [datafusion-python] via GitHub
• [PR] chore(deps): bump substrait from 0.55.1 to 0.56.0 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump substrait from 0.55.1 to 0.56.0 [datafusion] via GitHub
• Re: [I] Allow filtering specific sqllogictests [datafusion] via GitHub
  • Re: [I] Allow filtering specific sqllogictests [datafusion] via GitHub
• Re: [PR] Implementation for regex_instr [datafusion] via GitHub
  • Re: [PR] Implementation for regex_instr [datafusion] via GitHub
  • Re: [PR] Implementation for regex_instr [datafusion] via GitHub
  • Re: [PR] Implementation for regex_instr [datafusion] via GitHub
  • Re: [PR] Implementation for regex_instr [datafusion] via GitHub
  • Re: [PR] Implementation for regex_instr [datafusion] via GitHub
• Re: [I] [substrait] Build basic test suite to validate produced Substrait plans [datafusion] via GitHub
  • Re: [I] [substrait] Build basic test suite to validate produced Substrait plans [datafusion] via GitHub
  • Re: [I] [substrait] Build basic test suite to validate produced Substrait plans [datafusion] via GitHub
  • Re: [I] [substrait] Build basic test suite to validate produced Substrait plans [datafusion] via GitHub
  • Re: [I] [substrait] Build basic test suite to validate produced Substrait plans [datafusion] via GitHub
  • Re: [I] [substrait] Build basic test suite to validate produced Substrait plans [datafusion] via GitHub
  • Re: [I] [substrait] Build basic test suite to validate produced Substrait plans [datafusion] via GitHub
  • Re: [I] [substrait] Build basic test suite to validate produced Substrait plans [datafusion] via GitHub
• Re: [PR] feat: add `register_metadata` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
  • Re: [PR] feat: add `register_metadata` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
  • Re: [PR] feat: add `register_metadata` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
  • Re: [PR] feat: add `register_metadata` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
• [PR] Fix temp dir leak in tests [datafusion] via GitHub
  • Re: [PR] Fix temp dir leak in tests [datafusion] via GitHub
• [PR] Update criterion requirement from 0.5 to 0.6 in /sqlparser_bench [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Update criterion requirement from 0.5 to 0.6 in /sqlparser_bench [datafusion-sqlparser-rs] via GitHub
• Re: [PR] Make tree the Default EXPLAIN Format and Reorder Documentation Sections [datafusion] via GitHub
• [PR] Propagate .execute() calls immediately instead of lazily on the first… [datafusion] via GitHub
  • Re: [PR] Propagate .execute() calls immediately in `RepartitionExec` [datafusion] via GitHub
  • Re: [PR] Propagate .execute() calls immediately in `RepartitionExec` [datafusion] via GitHub
  • Re: [PR] Propagate .execute() calls immediately in `RepartitionExec` [datafusion] via GitHub
  • Re: [PR] Propagate .execute() calls immediately in `RepartitionExec` [datafusion] via GitHub
  • Re: [PR] Propagate .execute() calls immediately in `RepartitionExec` [datafusion] via GitHub
  • Re: [PR] Propagate .execute() calls immediately in `RepartitionExec` [datafusion] via GitHub
  • Re: [PR] Propagate .execute() calls immediately in `RepartitionExec` [datafusion] via GitHub
  • Re: [PR] Propagate .execute() calls immediately in `RepartitionExec` [datafusion] via GitHub
  • Re: [PR] Propagate .execute() calls immediately in `RepartitionExec` [datafusion] via GitHub
  • Re: [PR] Propagate .execute() calls immediately in `RepartitionExec` [datafusion] via GitHub
  • Re: [PR] Propagate .execute() calls immediately in `RepartitionExec` [datafusion] via GitHub
  • Re: [PR] Propagate .execute() calls immediately in `RepartitionExec` [datafusion] via GitHub
  • Re: [PR] Propagate .execute() calls immediately in `RepartitionExec` [datafusion] via GitHub
  • Re: [PR] Propagate .execute() calls immediately in `RepartitionExec` [datafusion] via GitHub
  • Re: [PR] Propagate .execute() calls immediately in `RepartitionExec` [datafusion] via GitHub
  • Re: [PR] Propagate .execute() calls immediately in `RepartitionExec` [datafusion] via GitHub
• Re: [PR] Handle union schema name coercion [datafusion] via GitHub
  • Re: [PR] Handle union schema name coercion [datafusion] via GitHub
  • Re: [PR] Handle union schema name coercion [datafusion] via GitHub
  • Re: [PR] Handle union schema name coercion [datafusion] via GitHub
  • Re: [PR] Handle union schema name coercion [datafusion] via GitHub
  • Re: [PR] Handle union schema name coercion [datafusion] via GitHub
  • Re: [PR] Handle union schema name coercion [datafusion] via GitHub
• [I] Add macro for creating DataFrame [datafusion] via GitHub
  • Re: [I] Add macro for creating DataFrame [datafusion] via GitHub
  • Re: [I] Add macro for creating DataFrame [datafusion] via GitHub
• Re: [D] Indexing Support in DataFusion? [datafusion] via GitHub
  • Re: [D] Indexing Support in DataFusion? [datafusion] via GitHub
  • Re: [D] Indexing Support in DataFusion? [datafusion] via GitHub
  • Re: [D] Indexing Support in DataFusion? [datafusion] via GitHub
• Re: [PR] Factor out Substrait consumers into separate files [datafusion] via GitHub
• [PR] Refactor substrait producer into multiple files [datafusion] via GitHub
  • Re: [PR] Refactor substrait producer into multiple files [datafusion] via GitHub
  • Re: [PR] Refactor substrait producer into multiple files [datafusion] via GitHub
  • Re: [PR] Refactor substrait producer into multiple files [datafusion] via GitHub

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