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• Re: [I] Move prepare/parameter handling tests into their own module [datafusion] via GitHub
• [PR] chore: Use pre created data for filter pushdown tests [datafusion] via GitHub
  • Re: [PR] chore: Use materialized data for filter pushdown tests [datafusion] via GitHub
• [PR] Shift from Field to FieldRef for all user defined functions [datafusion] via GitHub
• [I] commit 304488d3... (2025-02-05) broke JOIN ... USING("UPPERCASE_FIELD_NAME") [datafusion] via GitHub
  • Re: [I] commit 304488d3... (2025-02-05) broke JOIN ... USING("UPPERCASE_FIELD_NAME") [datafusion] via GitHub
• [PR] chore: Reenable nested types for CometFuzzTestSuite with int96 [datafusion-comet] via GitHub
  • Re: [PR] chore: Reenable nested types for CometFuzzTestSuite with int96 [datafusion-comet] via GitHub
  • Re: [PR] chore: Reenable nested types for CometFuzzTestSuite with int96 [datafusion-comet] via GitHub
  • Re: [PR] chore: Reenable nested types for CometFuzzTestSuite with int96 [datafusion-comet] via GitHub
  • Re: [PR] chore: Reenable nested types for CometFuzzTestSuite with int96 [datafusion-comet] via GitHub
• [PR] docs: Fix typos and minor grammatical issues in Architecture docs [datafusion] via GitHub
  • Re: [PR] docs: Fix typos and minor grammatical issues in Architecture docs [datafusion] via GitHub
  • Re: [PR] docs: Fix typos and minor grammatical issues in Architecture docs [datafusion] via GitHub
  • Re: [PR] docs: Fix typos and minor grammatical issues in Architecture docs [datafusion] via GitHub
  • Re: [PR] docs: Fix typos and minor grammatical issues in Architecture docs [datafusion] via GitHub
• [I] Fix typos and minor grammatical issues in Architecture docs [datafusion] via GitHub
• [PR] Docs: Setup Comet on IntelliJ [datafusion-comet] via GitHub
• [I] mac CI tests failing with `fatal runtime error: stack overflow` [datafusion] via GitHub
  • Re: [I] mac CI tests failing with `fatal runtime error: stack overflow` [datafusion] via GitHub
• Re: [I] Type coercion does not handle `Float16` correctly [datafusion] via GitHub
• [I] [native_datafusion] PARQUET_FIELD_ID_READ_ENABLED is not respected [datafusion-comet] via GitHub
• [PR] fix: Fallback to Spark when PARQUET_FIELD_ID_READ_ENABLED=true for new native scans [datafusion-comet] via GitHub
  • Re: [PR] fix: Fallback to Spark when PARQUET_FIELD_ID_READ_ENABLED=true for new native scans [datafusion-comet] via GitHub
  • Re: [PR] fix: Fallback to Spark when PARQUET_FIELD_ID_READ_ENABLED=true for new native scans [datafusion-comet] via GitHub
  • Re: [PR] fix: Fallback to Spark when PARQUET_FIELD_ID_READ_ENABLED=true for new native scans [datafusion-comet] via GitHub
  • Re: [PR] fix: Fallback to Spark when PARQUET_FIELD_ID_READ_ENABLED=true for new native scans [datafusion-comet] via GitHub
  • Re: [PR] fix: Fallback to Spark when PARQUET_FIELD_ID_READ_ENABLED=true for new native scans [datafusion-comet] via GitHub
  • Re: [PR] fix: Fallback to Spark when PARQUET_FIELD_ID_READ_ENABLED=true for new native scans [datafusion-comet] via GitHub
  • Re: [PR] fix: Fallback to Spark when PARQUET_FIELD_ID_READ_ENABLED=true for new native scans [datafusion-comet] via GitHub
• [I] Support `VARIANT` type for unstructured data [datafusion] via GitHub
• [PR] Improve the DML / DDL Documentation [datafusion] via GitHub
  • Re: [PR] Improve the DML / DDL Documentation [datafusion] via GitHub
  • Re: [PR] Improve the DML / DDL Documentation [datafusion] via GitHub
• [I] Schema contains qualified field name left."concat('a', 'b')" and unqualified field name "concat('a', 'b')" which would be ambiguous [datafusion] via GitHub
  • Re: [I] Schema contains qualified field name left."concat('a', 'b')" and unqualified field name "concat('a', 'b')" which would be ambiguous [datafusion] via GitHub
  • Re: [I] Schema contains qualified field name left."concat('a', 'b')" and unqualified field name "concat('a', 'b')" which would be ambiguous [datafusion] via GitHub
• [PR] fix: default values for experimental native scans [datafusion-comet] via GitHub
  • Re: [PR] fix: default values for experimental native_datafusion scan [datafusion-comet] via GitHub
  • Re: [PR] fix: default values for experimental native_datafusion scan [datafusion-comet] via GitHub
  • Re: [PR] fix: default values for experimental native_datafusion scan [datafusion-comet] via GitHub
  • Re: [PR] fix: default values for experimental native_datafusion scan [datafusion-comet] via GitHub
  • Re: [PR] fix: default values for experimental native_datafusion scan [datafusion-comet] via GitHub
  • Re: [PR] fix: default values for experimental native_datafusion scan [datafusion-comet] via GitHub
  • Re: [PR] fix: default values for experimental native_datafusion scan [datafusion-comet] via GitHub
  • Re: [PR] fix: default values for experimental native_datafusion scan [datafusion-comet] via GitHub
  • Re: [PR] fix: default values for experimental native_datafusion scan [datafusion-comet] via GitHub
• [PR] Minor: Add `ScalarFunctionArgs::return_type` method [datafusion] via GitHub
  • Re: [PR] Minor: Add `ScalarFunctionArgs::return_type` method [datafusion] via GitHub
• [PR] Minor: Add `Accumulator::return_type` to help with transition [datafusion] via GitHub
• [PR] Test Duration in `fuzz` tests [datafusion] via GitHub
  • Re: [PR] Test Duration in aggregation `fuzz` tests [datafusion] via GitHub
• [PR] feat: coerce from fixed size binary to binary view [datafusion] via GitHub
• [PR] Clean up ExternalSorter and use upstream converter [datafusion] via GitHub
  • Re: [PR] Clean up ExternalSorter and use upstream converter [datafusion] via GitHub
  • Re: [PR] Clean up ExternalSorter and use upstream kernel [datafusion] via GitHub
• [PR] Schema adapter helper [datafusion] via GitHub
  • Re: [PR] Schema adapter helper [datafusion] via GitHub
  • Re: [PR] Schema adapter helper [datafusion] via GitHub
• Re: [I] Parquet: coerce_int96 does not work for int96 in nested types [datafusion] via GitHub
• [PR] chore(deps): bump testcontainers-modules from 0.11.6 to 0.12.0 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump testcontainers-modules from 0.11.6 to 0.12.0 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump testcontainers-modules from 0.11.6 to 0.12.0 [datafusion] via GitHub
• [I] `CollectLeft` / "right deep tree" optimization not triggered for join between 3 or more delta tables [datafusion] via GitHub
• Re: [PR] Mysql: Add `SRID` column option [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
• [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] 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] [Epic] Remove Sort Merge Join Experimental status [datafusion] via GitHub
• [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
• [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
• [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] [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
• [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
• [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
• [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] 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: [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
• [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
• [I] RepartitionExec not immediately propagating `.execute()` calls to children [datafusion] via GitHub
• [PR] Optimize performance of `string::ascii` function [datafusion] via GitHub
  • Re: [PR] Optimize performance of `string::ascii` function [datafusion] via GitHub
  • Re: [PR] Optimize performance of `string::ascii` function [datafusion] via GitHub
  • Re: [PR] Optimize performance of `string::ascii` function [datafusion] via GitHub
  • Re: [PR] Optimize performance of `string::ascii` function [datafusion] via GitHub
  • Re: [PR] Optimize performance of `string::ascii` function [datafusion] via GitHub
  • Re: [PR] Optimize performance of `string::ascii` function [datafusion] via GitHub
  • Re: [PR] Optimize performance of `string::ascii` function [datafusion] via GitHub
  • Re: [PR] Optimize performance of `string::ascii` function [datafusion] via GitHub
  • Re: [PR] Optimize performance of `string::ascii` function [datafusion] via GitHub

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