github  

Messages by Thread

• • Re: [PR] Fix parquet test using wrong schema [datafusion] via GitHub
  • Re: [PR] Fix parquet test using wrong schema [datafusion] via GitHub
  • Re: [PR] Fix parquet test using wrong schema [datafusion] via GitHub
  • Re: [PR] Fix parquet test using wrong schema [datafusion] via GitHub
  • Re: [PR] Fix parquet test using wrong schema [datafusion] via GitHub
  • Re: [PR] Fix parquet test using wrong schema [datafusion] via GitHub
  • Re: [PR] Fix parquet test using wrong schema [datafusion] via GitHub
  • Re: [PR] Fix parquet test using wrong schema [datafusion] via GitHub
  • Re: [PR] Fix parquet test using wrong schema [datafusion] via GitHub
  • Re: [PR] Fix parquet test using wrong schema [datafusion] via GitHub
  • Re: [PR] Fix parquet test using wrong schema [datafusion] via GitHub
  • Re: [PR] Fix parquet test using wrong schema [datafusion] via GitHub
  • Re: [PR] Fix parquet test using wrong schema [datafusion] via GitHub
• [I] [Track]: Stablize external sort queries [datafusion] via GitHub
• [I] Track: Enable Arrow Row format by default in sort execution [datafusion] via GitHub
  • Re: [I] [Track]: Enable Arrow Row format by default in sort execution [datafusion] via GitHub
• [I] Support compression in spill files [datafusion] via GitHub
  • Re: [I] Support compression in spill files [datafusion] via GitHub
  • Re: [I] Support compression in spill files [datafusion] via GitHub
  • Re: [I] Support compression in spill files [datafusion] via GitHub
  • Re: [I] Support compression in spill files [datafusion] via GitHub
• [PR] chore(deps): bump object_store from 0.12.0 to 0.12.1 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump object_store from 0.12.0 to 0.12.1 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump object_store from 0.12.0 to 0.12.1 [datafusion] via GitHub
• [PR] chore(deps): bump syn from 2.0.100 to 2.0.101 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump syn from 2.0.100 to 2.0.101 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump syn from 2.0.100 to 2.0.101 [datafusion] via GitHub
• Re: [I] Integrate `Analyzer` within LogicalPlan building stage [datafusion] via GitHub
• [I] The SQL Unparser `unproject_sort_expr` does not handle arbitrary expressions [datafusion] via GitHub
  • Re: [I] The SQL Unparser `unproject_sort_expr` does not handle arbitrary expressions [datafusion] via GitHub
• [PR] Phillip/250521 fix sort unproject unparser upstream [datafusion] via GitHub
  • Re: [PR] Improve `unproject_sort_expr` to handle arbitrary expressions [datafusion] via GitHub
  • Re: [PR] Improve `unproject_sort_expr` to handle arbitrary expressions [datafusion] via GitHub
  • Re: [PR] Improve `unproject_sort_expr` to handle arbitrary expressions [datafusion] via GitHub
  • Re: [PR] Improve `unproject_sort_expr` to handle arbitrary expressions [datafusion] via GitHub
  • Re: [PR] Improve `unproject_sort_expr` to handle arbitrary expressions [datafusion] via GitHub
• Re: [PR] Handle optional datatypes properly in `CREATE FUNCTION` statements [datafusion-sqlparser-rs] via GitHub
• [PR] [datafusion-spark] Implement `factorical` function [datafusion] via GitHub
• [I] [datafusion-spark] Implement `factorial` function [datafusion] via GitHub
• Re: [I] Move prepare/parameter handling tests into their own module [datafusion] via GitHub
  • Re: [I] Move prepare/parameter handling tests into their own module [datafusion] via GitHub
• Re: [PR] feat: Add support for `expm1` expression from `datafusion-spark` crate [datafusion-comet] via GitHub
  • Re: [PR] feat: Add support for `expm1` expression from `datafusion-spark` crate [datafusion-comet] 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
  • Re: [PR] chore: Use materialized data for filter pushdown tests [datafusion] via GitHub
  • Re: [PR] chore: Use materialized data for filter pushdown tests [datafusion] via GitHub
  • Re: [PR] chore: Use materialized data for filter pushdown tests [datafusion] via GitHub
  • Re: [PR] chore: Use materialized 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
  • Re: [PR] Shift from Field to FieldRef for all user defined functions [datafusion] via GitHub
  • Re: [PR] Shift from Field to FieldRef for all user defined functions [datafusion] via GitHub
  • Re: [PR] Shift from Field to FieldRef for all user defined functions [datafusion] via GitHub
  • Re: [PR] Shift from Field to FieldRef for all user defined functions [datafusion] via GitHub
  • Re: [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
  • Re: [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
  • 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] pipe column orderings into pruning predicate creation [datafusion] 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
  • 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
  • Re: [I] Fix typos and minor grammatical issues in Architecture docs [datafusion] via GitHub
• [PR] Docs: Setup Comet on IntelliJ [datafusion-comet] via GitHub
  • Re: [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
  • 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
  • Re: [PR] Improve the DML / DDL Documentation [datafusion] via GitHub
  • Re: [PR] Improve the DML / DDL Documentation [datafusion] via GitHub
• Re: [PR] chore: Prepare for DataFusion 48.0.0 [datafusion-comet] via GitHub
  • Re: [PR] chore: Prepare for DataFusion 48.0.0 [datafusion-comet] via GitHub
  • Re: [PR] chore: Prepare for DataFusion 48.0.0 [datafusion-comet] via GitHub
  • Re: [PR] chore: Prepare for DataFusion 48.0.0 [datafusion-comet] via GitHub
  • Re: [PR] chore: Prepare for DataFusion 48.0.0 [datafusion-comet] via GitHub
  • Re: [PR] chore: Prepare for DataFusion 48.0.0 [datafusion-comet] via GitHub
  • Re: [PR] chore: Prepare for DataFusion 48.0.0 [datafusion-comet] via GitHub
  • Re: [PR] chore: Prepare for DataFusion 48.0.0 [datafusion-comet] via GitHub
  • Re: [PR] chore: Prepare for DataFusion 48.0.0 [datafusion-comet] via GitHub
  • Re: [PR] chore: Prepare for DataFusion 48.0.0 [datafusion-comet] via GitHub
  • Re: [PR] chore: Prepare for DataFusion 48.0.0 [datafusion-comet] via GitHub
  • Re: [PR] chore: Prepare for DataFusion 48.0.0 [datafusion-comet] via GitHub
  • Re: [PR] chore: Prepare for DataFusion 48.0.0 [datafusion-comet] via GitHub
  • Re: [PR] chore: Prepare for DataFusion 48.0.0 [datafusion-comet] via GitHub
  • Re: [PR] chore: Prepare for DataFusion 48.0.0 [datafusion-comet] 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
  • 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
  • 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 native_datafusion scan [datafusion-comet] via GitHub
  • Re: [PR] fix: default values for native_datafusion scan [datafusion-comet] via GitHub
  • Re: [PR] fix: default values for 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
  • Re: [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
  • Re: [PR] Minor: Add `Accumulator::return_type` and `StateFieldsArgs::return_type` to help with upgrade to 48 [datafusion] via GitHub
• [PR] Test Duration in `fuzz` tests [datafusion] via GitHub
  • Re: [PR] Test Duration in aggregation `fuzz` tests [datafusion] via GitHub
  • Re: [PR] Test Duration in aggregation `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
  • Re: [PR] feat: coerce to/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
  • 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: [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: [I] `CollectLeft` / "right deep tree" optimization not triggered for join between 3 or more delta tables [datafusion] via GitHub
  • Re: [I] `CollectLeft` / "right deep tree" optimization not triggered for join between 3 or more delta tables [datafusion] via GitHub
  • Re: [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] Mysql: Add `SRID` column option [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Mysql: Add `SRID` column option [datafusion-sqlparser-rs] via GitHub
• 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

• Earlier messages
• Later messages