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• Re: [PR] fix: output_ordering converted to Vec<Option<LexOrdering>> [datafusion] via GitHub
• Re: [PR] Add trace of consumers to OOM error messages [datafusion] via GitHub
• Re: [PR] Make OOM error messages more readable. [datafusion] via GitHub
• Re: [PR] add Distribution based statistics to PartitionedFile [datafusion] via GitHub
• Re: [PR] Change `serde` dependency to `serde_core` where applicable [datafusion] via GitHub
  • Re: [PR] Change `serde` dependency to `serde_core` where applicable [datafusion] via GitHub
• Re: [PR] fix(substrait): Allow scalar subquery in projection [datafusion] via GitHub
  • Re: [PR] fix(substrait): Allow scalar subquery in projection [datafusion] via GitHub
• Re: [PR] feat: Support log for Decimal32 and Decimal64 [datafusion] via GitHub
  • Re: [PR] feat: Support log for Decimal32 and Decimal64 [datafusion] via GitHub
  • Re: [PR] feat: Support log for Decimal32 and Decimal64 [datafusion] via GitHub
  • Re: [PR] feat: Support log for Decimal32 and Decimal64 [datafusion] via GitHub
  • Re: [PR] feat: Support log for Decimal32 and Decimal64 [datafusion] via GitHub
  • Re: [PR] feat: Support log for Decimal32 and Decimal64 [datafusion] via GitHub
  • Re: [PR] feat: Support log for Decimal32 and Decimal64 [datafusion] via GitHub
• [I] Allow pow with negative & non-integer exponent on decimals [datafusion] via GitHub
  • Re: [I] Allow pow with negative & non-integer exponent on decimals [datafusion] via GitHub
• [I] Allow log with non-integer base on decimals [datafusion] via GitHub
  • Re: [I] Allow log with non-integer base on decimals [datafusion] via GitHub
• Re: [PR] feat: support named parameters for table functions [datafusion] via GitHub
  • Re: [PR] feat: support named parameters for table functions [datafusion] via GitHub
• [PR] wip: check cost of hashing in multi column aggregate [IGNORE] [datafusion] via GitHub
  • Re: [PR] wip: check cost of hashing in multi column aggregate [IGNORE] [datafusion] via GitHub
  • Re: [PR] wip: check cost of hashing in multi column aggregate [IGNORE] [datafusion] via GitHub
  • Re: [PR] wip: check cost of hashing in multi column aggregate [IGNORE] [datafusion] via GitHub
  • Re: [PR] wip: check cost of hashing in multi column aggregate [IGNORE] [datafusion] via GitHub
  • Re: [PR] wip: check cost of hashing in multi column aggregate [IGNORE] [datafusion] via GitHub
  • Re: [PR] wip: check cost of hashing in multi column aggregate [IGNORE] [datafusion] via GitHub
  • Re: [PR] wip: check cost of hashing in multi column aggregate [IGNORE] [datafusion] via GitHub
  • Re: [PR] wip: check cost of hashing in multi column aggregate [IGNORE] [datafusion] via GitHub
  • Re: [PR] wip: check cost of hashing in multi column aggregate [IGNORE] [datafusion] via GitHub
  • Re: [PR] wip: check cost of hashing in multi column aggregate [IGNORE] [datafusion] via GitHub
  • Re: [PR] wip: check cost of hashing in multi column aggregate [IGNORE] [datafusion] via GitHub
  • Re: [PR] wip: check cost of hashing in multi column aggregate [IGNORE] [datafusion] via GitHub
  • Re: [PR] wip: check cost of hashing in multi column aggregate [IGNORE] [datafusion] via GitHub
  • Re: [PR] wip: check cost of hashing in multi column aggregate [IGNORE] [datafusion] via GitHub
  • Re: [PR] wip: check cost of hashing in multi column aggregate [IGNORE] [datafusion] via GitHub
  • Re: [PR] wip: check cost of hashing in multi column aggregate [IGNORE] [datafusion] via GitHub
  • Re: [PR] wip: check cost of hashing in multi column aggregate [IGNORE] [datafusion] via GitHub
  • Re: [PR] wip: check cost of hashing in multi column aggregate [IGNORE] [datafusion] via GitHub
  • Re: [PR] wip: check cost of hashing in multi column aggregate [IGNORE] [datafusion] via GitHub
  • Re: [PR] wip: check cost of hashing in multi column aggregate [IGNORE] [datafusion] via GitHub
  • Re: [PR] wip: check cost of hashing in multi column aggregate [IGNORE] [datafusion] via GitHub
• [PR] feat: Support session token in Iceberg Native scan [datafusion-comet] via GitHub
  • Re: [PR] feat: [iceberg] Support session token in Iceberg Native scan [datafusion-comet] via GitHub
  • Re: [PR] feat: [iceberg] Support session token in Iceberg Native scan [datafusion-comet] via GitHub
• [PR] chore(deps): bump org.eclipse.jetty:jetty-server from 9.4.53.v20231009 to 9.4.56.v20240826 in /spark [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump org.eclipse.jetty:jetty-server from 9.4.53.v20231009 to 9.4.56.v20240826 in /spark [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump org.eclipse.jetty:jetty-server from 9.4.53.v20231009 to 9.4.56.v20240826 in /spark [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump org.eclipse.jetty:jetty-server from 9.4.53.v20231009 to 9.4.56.v20240826 in /spark [datafusion-comet] via GitHub
• Re: [I] Include `NestedLoopJoinExec` in the metrics user-guide [datafusion] via GitHub
• Re: [I] ListingTable cannot handle partition evolution [datafusion] via GitHub
• [PR] Remove SchemaAdapter [datafusion] via GitHub
  • Re: [PR] Remove SchemaAdapter [datafusion] via GitHub
  • Re: [PR] Remove SchemaAdapter [datafusion] via GitHub
  • Re: [PR] Remove SchemaAdapter [datafusion] via GitHub
  • Re: [PR] Remove SchemaAdapter [datafusion] via GitHub
  • Re: [PR] Remove SchemaAdapter [datafusion] via GitHub
  • Re: [PR] Remove SchemaAdapter [datafusion] via GitHub
  • Re: [PR] Remove SchemaAdapter [datafusion] via GitHub
  • Re: [PR] Remove SchemaAdapter [datafusion] via GitHub
  • Re: [PR] Remove SchemaAdapter [datafusion] via GitHub
• [PR] Optimize byte view comparison in groupby [datafusion] via GitHub
  • Re: [PR] Optimize byte view comparison in groupby [datafusion] via GitHub
  • Re: [PR] Optimize byte view comparison in groupby [datafusion] via GitHub
  • Re: [PR] Optimize byte view comparison in groupby [datafusion] via GitHub
  • Re: [PR] Optimize byte view comparison in groupby [datafusion] via GitHub
  • Re: [PR] Optimize byte view comparison in groupby [datafusion] via GitHub
  • Re: [PR] Optimize byte view comparison in groupby [datafusion] via GitHub
  • Re: [PR] Optimize byte view comparison in groupby [datafusion] via GitHub
  • Re: [PR] Optimize byte view comparison in multi groupby [datafusion] via GitHub
  • Re: [PR] Optimize byte view comparison in multi groupby [datafusion] via GitHub
  • Re: [PR] Optimize byte view comparison in multi groupby [datafusion] via GitHub
  • Re: [PR] Optimize byte view comparison in multi groupby [datafusion] via GitHub
  • Re: [PR] Optimize byte view comparison in multi groupby [datafusion] via GitHub
  • Re: [PR] Optimize byte view comparison in multi groupby [datafusion] via GitHub
  • Re: [PR] Optimize byte view comparison in multi groupby [datafusion] via GitHub
  • Re: [PR] Optimize byte view comparison in multi groupby [datafusion] via GitHub
  • Re: [PR] Optimize byte view comparison in multi groupby [datafusion] via GitHub
  • Re: [PR] Optimize byte view comparison in multi groupby [datafusion] via GitHub
  • Re: [PR] TESTING: Optimize byte view comparison in multi groupby [datafusion] via GitHub
  • Re: [PR] TESTING: Optimize byte view comparison in multi groupby [datafusion] via GitHub
  • Re: [PR] TESTING: Optimize byte view comparison in multi groupby [datafusion] via GitHub
  • Re: [PR] TESTING: Optimize byte view comparison in multi groupby [datafusion] via GitHub
  • Re: [PR] TESTING: Optimize byte view comparison in multi groupby [datafusion] via GitHub
  • Re: [PR] TESTING: Optimize byte view comparison in multi groupby [datafusion] via GitHub
  • Re: [PR] TESTING: Optimize byte view comparison in multi groupby [datafusion] via GitHub
  • Re: [PR] TESTING: Optimize byte view comparison in multi groupby [datafusion] via GitHub
  • Re: [PR] TESTING: Optimize byte view comparison in multi groupby [datafusion] via GitHub
• [PR] Minor: Make `ProjectionExpr::new` easier to use with constants [datafusion] via GitHub
  • Re: [PR] Minor: Make `ProjectionExpr::new` easier to use with constants [datafusion] via GitHub
  • Re: [PR] Minor: Make `ProjectionExpr::new` easier to use with constants [datafusion] via GitHub
  • Re: [PR] Minor: Make `ProjectionExpr::new` easier to use with constants [datafusion] via GitHub
  • Re: [PR] Minor: Make `ProjectionExpr::new` easier to use with constants [datafusion] via GitHub
  • Re: [PR] Minor: Make `ProjectionExpr::new` easier to use with constants [datafusion] via GitHub
• Re: [I] Add a default `ListFilesCache` implementation for the `ListingTable` [datafusion] via GitHub
• [PR] wip: integrate batch coalescer with async fn exec [datafusion] via GitHub
  • Re: [PR] wip: integrate batch coalescer with async fn exec [datafusion] via GitHub
  • Re: [PR] wip: integrate batch coalescer with async fn exec [datafusion] via GitHub
  • Re: [PR] feat: integrate batch coalescer with async fn exec [datafusion] via GitHub
  • Re: [PR] feat: integrate batch coalescer with async fn exec [datafusion] via GitHub
  • Re: [PR] feat: integrate batch coalescer with async fn exec [datafusion] via GitHub
  • Re: [PR] feat: integrate batch coalescer with async fn exec [datafusion] via GitHub
  • Re: [PR] feat: integrate batch coalescer with async fn exec [datafusion] via GitHub
  • Re: [PR] feat: integrate batch coalescer with async fn exec [datafusion] via GitHub
  • Re: [PR] feat: integrate batch coalescer with async fn exec [datafusion] via GitHub
  • Re: [PR] feat: integrate batch coalescer with async fn exec [datafusion] via GitHub
• Re: [PR] Fix: eliminate unnecessary repartitioning for small datasets [datafusion] via GitHub
  • Re: [PR] Fix: eliminate unnecessary repartitioning for small datasets [datafusion] via GitHub
  • Re: [PR] Fix: eliminate unnecessary repartitioning for small datasets [datafusion] via GitHub
  • Re: [PR] Fix: eliminate unnecessary repartitioning for small datasets [datafusion] via GitHub
  • Re: [PR] Fix: eliminate unnecessary repartitioning for small datasets [datafusion] via GitHub
  • Re: [PR] Fix: eliminate unnecessary repartitioning for small datasets [datafusion] via GitHub
• Re: [I] spark `like` need to have custom nullability [datafusion] via GitHub
  • Re: [I] spark `like` need to have custom nullability [datafusion] via GitHub
• [PR] Update date_bin to support Time32 and Time64 data types [datafusion] via GitHub
  • Re: [PR] Update date_bin to support Time32 and Time64 data types [datafusion] via GitHub
  • Re: [PR] Update date_bin to support Time32 and Time64 data types [datafusion] via GitHub
  • Re: [PR] Update date_bin to support Time32 and Time64 data types [datafusion] via GitHub
  • Re: [PR] Update date_bin to support Time32 and Time64 data types [datafusion] via GitHub
  • Re: [PR] Update date_bin to support Time32 and Time64 data types [datafusion] via GitHub
  • Re: [PR] Update date_bin to support Time32 and Time64 data types [datafusion] via GitHub
  • Re: [PR] Update date_bin to support Time32 and Time64 data types [datafusion] via GitHub
  • Re: [PR] Update date_bin to support Time32 and Time64 data types [datafusion] via GitHub
  • Re: [PR] Update date_bin to support Time32 and Time64 data types [datafusion] via GitHub
  • Re: [PR] Update date_bin to support Time32 and Time64 data types [datafusion] via GitHub
  • Re: [PR] Update date_bin to support Time32 and Time64 data types [datafusion] via GitHub
  • Re: [PR] Update date_bin to support Time32 and Time64 data types [datafusion] via GitHub
• Re: [I] Different behavior in datafusion 35.0.0 in reading hive-partitioned parquet data [datafusion-python] via GitHub
• Re: [I] Quoted field names beginning with @ treated as variables by SQL parser [datafusion] via GitHub
• [PR] Fix/spark next day nullability [datafusion] via GitHub
  • Re: [PR] Fix/spark next day nullability [datafusion] via GitHub
  • Re: [PR] Fix/spark next day nullability [datafusion] via GitHub
  • Re: [PR] Fix/spark next day nullability [datafusion] via GitHub
  • Re: [PR] Fix/spark next day nullability [datafusion] via GitHub
  • Re: [PR] Fix/spark next day nullability [datafusion] via GitHub
  • Re: [PR] Fix/spark next day nullability [datafusion] via GitHub
  • Re: [PR] Fix/spark next day nullability [datafusion] via GitHub
  • Re: [PR] Fix/spark next day nullability [datafusion] via GitHub
  • Re: [PR] Fix/spark next day nullability [datafusion] via GitHub
  • Re: [PR] Fix/spark next day nullability [datafusion] via GitHub
• [PR] fix: Don't treat quoted column names as placeholder variables in SQL [datafusion] via GitHub
  • Re: [PR] fix: Don't treat quoted column names as placeholder variables in SQL [datafusion] via GitHub
  • Re: [PR] fix: Don't treat quoted column names as placeholder variables in SQL [datafusion] via GitHub
  • Re: [PR] fix: Don't treat quoted column names as placeholder variables in SQL [datafusion] via GitHub
  • Re: [PR] fix: Don't treat quoted column names as placeholder variables in SQL [datafusion] via GitHub
  • Re: [PR] fix: Don't treat quoted column names as placeholder variables in SQL [datafusion] via GitHub
• [PR] Site/gene.bordegaray/2025/12/consecutive repartitions blog post fix image [datafusion-site] via GitHub
  • Re: [PR] Site/gene.bordegaray/2025/12/consecutive repartitions blog post fix image [datafusion-site] via GitHub
  • Re: [PR] Site/gene.bordegaray/2025/12/consecutive repartitions blog post fix image [datafusion-site] via GitHub
  • Re: [PR] Site/gene.bordegaray/2025/12/consecutive repartitions blog post fix image [datafusion-site] via GitHub
  • Re: [PR] Site/gene.bordegaray/2025/12/consecutive repartitions blog post fix image [datafusion-site] via GitHub
  • Re: [PR] Site/gene.bordegaray/2025/12/consecutive repartitions blog post fix image [datafusion-site] via GitHub
• [PR] Get working build [datafusion] via GitHub
  • Re: [PR] Upgrade to DF45 [datafusion] via GitHub
  • Re: [PR] Upgrade to DF45 [datafusion] via GitHub
• [I] Dynamically narrow logical types in Parquet writer [datafusion] via GitHub
• [I] first_value/last_value aggregate functions don't preserve Field metadata [datafusion] via GitHub
  • Re: [I] first_value/last_value aggregate functions don't preserve Field metadata [datafusion] via GitHub
• Re: [I] Document Schema metadata expectations [datafusion] via GitHub
• Re: [I] [EPIC] Schema metadata handling / bugs [datafusion] via GitHub
• [PR] preserve Field metadata in first_value/last_value [datafusion] via GitHub
  • Re: [PR] preserve Field metadata in first_value/last_value [datafusion] via GitHub
  • Re: [PR] preserve Field metadata in first_value/last_value [datafusion] via GitHub
  • Re: [PR] preserve Field metadata in first_value/last_value [datafusion] via GitHub
  • Re: [PR] preserve Field metadata in first_value/last_value [datafusion] via GitHub
  • Re: [PR] preserve Field metadata in first_value/last_value [datafusion] via GitHub
  • Re: [PR] preserve Field metadata in first_value/last_value [datafusion] via GitHub
  • Re: [PR] preserve Field metadata in first_value/last_value [datafusion] via GitHub
  • Re: [PR] preserve Field metadata in first_value/last_value [datafusion] via GitHub
  • Re: [PR] preserve Field metadata in first_value/last_value [datafusion] via GitHub
  • Re: [PR] preserve Field metadata in first_value/last_value [datafusion] via GitHub
  • Re: [PR] preserve Field metadata in first_value/last_value [datafusion] via GitHub
  • Re: [PR] preserve Field metadata in first_value/last_value [datafusion] via GitHub
• [I] Function 'spark_modulo' returned value of type 'Decimal256(29, 28)' ... expected: 'Decimal128(29, 28)' [datafusion-comet] via GitHub
  • Re: [I] Function 'spark_modulo' returned value of type 'Decimal256(29, 28)' ... expected: 'Decimal128(29, 28)' [datafusion-comet] via GitHub
• Re: [I] about page has no styling (firefox desktop) [datafusion-site] via GitHub
• Re: [I] hamburger menu on mobile doesn't do anything (firefox android) [datafusion-site] via GitHub
• Re: [I] Implement typo check github action [datafusion-site] via GitHub
• Re: [PR] Add Decimal128 support to Ceil and Floor [datafusion] via GitHub
• [I] Possible incorrect calculation of predicate_cache statistics received from arrow-rs [datafusion] via GitHub
  • Re: [I] Possible incorrect calculation of predicate_cache statistics received from arrow-rs [datafusion] via GitHub
• [I] Add ParquetOpenerBuilder to make code more clean and readable [datafusion] via GitHub
  • Re: [I] Add ParquetOpenerBuilder to make code more clean and readable [datafusion] via GitHub
  • Re: [I] Add ParquetOpenerBuilder to make code more clean and readable [datafusion] via GitHub
• Re: [I] Add a default `FileStatisticsCache` implementation for the `ListingTable` [datafusion] via GitHub
• Re: [PR] feat: integrate batch coalescer with repartition exec [datafusion] via GitHub
  • Re: [PR] feat: integrate batch coalescer with repartition exec [datafusion] via GitHub
  • Re: [PR] feat: integrate batch coalescer with repartition exec [datafusion] via GitHub
  • Re: [PR] feat: integrate batch coalescer with repartition exec [datafusion] via GitHub
  • Re: [PR] feat: integrate batch coalescer with repartition exec [datafusion] via GitHub
  • Re: [PR] feat: integrate batch coalescer with repartition exec [datafusion] via GitHub
• Re: [I] Deduplicate Spark function code with native/default datafusion function code [datafusion] via GitHub
  • Re: [I] Deduplicate Spark function code with native/default datafusion function code [datafusion] via GitHub
• Re: [I] Create benchmark for sorted data [datafusion] via GitHub
• [PR] Update datafusion-core crate to Rust 2024 edition [datafusion] via GitHub
  • Re: [PR] Update datafusion-core crate to Rust 2024 edition [datafusion] via GitHub
  • Re: [PR] Update datafusion-core crate to Rust 2024 edition [datafusion] via GitHub
  • Re: [PR] Update datafusion-core crate to Rust 2024 edition [datafusion] via GitHub
• Re: [PR] feat: support invoking table functions with tables rather than a single expression [datafusion] via GitHub

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