github  

Messages by Thread

• • 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: [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
  • Re: [PR] feat: support invoking table functions with tables rather than a single expression [datafusion] via GitHub
• Re: [I] Integrate `BatchCoalescer` into `RepartitionExec` [datafusion] via GitHub
  • Re: [I] Integrate `BatchCoalescer` into `RepartitionExec` [datafusion] via GitHub
• [I] Integrate `BatchCoalescer` into `AsyncFuncExec` and remove from `CoalesceBatches` optimization rule [datafusion] via GitHub
  • Re: [I] Integrate `BatchCoalescer` into `AsyncFuncExec` and remove from `CoalesceBatches` optimization rule [datafusion] via GitHub
  • Re: [I] Integrate `BatchCoalescer` into `AsyncFuncExec` and remove from `CoalesceBatches` optimization rule [datafusion] via GitHub
  • Re: [I] Integrate `BatchCoalescer` into `AsyncFuncExec` and remove from `CoalesceBatches` optimization rule [datafusion] via GitHub
  • Re: [I] Integrate `BatchCoalescer` into `AsyncFuncExec` and remove from `CoalesceBatches` optimization rule [datafusion] via GitHub
  • Re: [I] Integrate `BatchCoalescer` into `AsyncFuncExec` and remove from `CoalesceBatches` optimization rule [datafusion] via GitHub
  • Re: [I] Integrate `BatchCoalescer` into `AsyncFuncExec` and remove from `CoalesceBatches` optimization rule [datafusion] via GitHub
• [PR] chore(deps): bump taiki-e/install-action from 2.62.54 to 2.63.3 [datafusion-sandbox] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.62.54 to 2.63.3 [datafusion-sandbox] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.62.54 to 2.63.3 [datafusion-sandbox] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.62.54 to 2.63.3 [datafusion-sandbox] via GitHub
• [I] Expressions from left and right of a join can fail planning during substrait converstion if their name is the same [datafusion] via GitHub
• Re: [PR] fix: spark width_bucket custom nullability [datafusion] via GitHub
• [I] Phase 2: make sort pushdown support exact mode which can remove sort, also can File reordering based on statistics [datafusion] via GitHub
• [PR] chore(deps): bump actions/cache from 4 to 5 [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump actions/cache from 4 to 5 [datafusion-comet] via GitHub
• [PR] chore(deps): bump actions/upload-artifact from 5 to 6 [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump actions/upload-artifact from 5 to 6 [datafusion-comet] via GitHub
• [PR] chore(deps): bump actions/download-artifact from 6 to 7 [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump actions/download-artifact from 6 to 7 [datafusion-comet] via GitHub
• [PR] chore(deps): bump ctor from 0.6.1 to 0.6.3 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump ctor from 0.6.1 to 0.6.3 [datafusion] via GitHub
• [PR] chore(deps): bump insta from 1.43.2 to 1.44.3 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump insta from 1.43.2 to 1.44.3 [datafusion] via GitHub
• [PR] chore(deps): bump clap from 4.5.50 to 4.5.53 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump clap from 4.5.50 to 4.5.53 [datafusion] via GitHub
• [PR] chore(deps): bump the proto group with 3 updates [datafusion] via GitHub
• Re: [PR] feat: support Spark-compatible abs math function part 2 - ANSI mode [datafusion] via GitHub
• [PR] refactor: refactor spark like function to use datafusion like [datafusion] via GitHub
  • Re: [PR] refactor: refactor spark like function to use datafusion like [datafusion] via GitHub
  • Re: [PR] refactor: refactor spark like function to use datafusion like [datafusion] via GitHub
  • Re: [PR] refactor: refactor spark like function to use datafusion like [datafusion] via GitHub
  • Re: [PR] refactor: refactor spark like function to use datafusion like [datafusion] via GitHub
  • Re: [PR] refactor: refactor spark like function to use datafusion like [datafusion] via GitHub
  • Re: [PR] refactor: refactor spark like function to use datafusion like [datafusion] via GitHub
  • Re: [PR] refactor: refactor spark like function to use datafusion like [datafusion] via GitHub
  • Re: [PR] refactor: refactor spark like function to use datafusion like [datafusion] via GitHub
• [PR] fix: derive Spark sha2 nullability and add tests [datafusion] via GitHub
  • Re: [PR] fix: derive Spark sha2 nullability and add tests [datafusion] via GitHub
  • Re: [PR] fix: derive Spark sha2 nullability and add tests [datafusion] via GitHub
  • Re: [PR] fix: derive Spark sha2 nullability and add tests [datafusion] via GitHub
  • Re: [PR] fix: derive Spark sha2 nullability and add tests [datafusion] via GitHub
  • Re: [PR] fix: derive Spark sha2 nullability and add tests [datafusion] via GitHub
  • Re: [PR] fix: derive Spark sha2 nullability and add tests [datafusion] via GitHub
  • Re: [PR] fix: derive Spark sha2 nullability and add tests [datafusion] via GitHub
  • Re: [PR] fix: derive Spark sha2 nullability and add tests [datafusion] via GitHub

• Earlier messages
• Later messages