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• Re: [PR] Prototype for Join Ordering [datafusion] via GitHub
• Re: [I] Phase 1 Establish the high level API for sort pushdown and the optimizer rule. Only re-arrange files and row groups and return Inexact. [datafusion] via GitHub
• [I] Support exhaustive String to Decimal casting [datafusion-comet] via GitHub
• [PR] feat: Support string decimal cast [datafusion-comet] via GitHub
  • Re: [PR] feat: Support string decimal cast [datafusion-comet] via GitHub
  • Re: [PR] feat: Support string decimal cast [datafusion-comet] via GitHub
  • Re: [PR] feat: Support string decimal cast [datafusion-comet] via GitHub
  • Re: [PR] feat: Support string decimal cast [datafusion-comet] via GitHub
  • Re: [PR] feat: Support string decimal cast [datafusion-comet] via GitHub
  • Re: [PR] feat: Support string decimal cast [datafusion-comet] via GitHub
  • Re: [PR] feat: Support string decimal cast [datafusion-comet] via GitHub
  • Re: [PR] feat: Support string decimal cast [datafusion-comet] via GitHub
• [PR] docs: auto generate metrics documentation [datafusion] via GitHub
  • Re: [PR] docs: auto generate metrics documentation [datafusion] via GitHub
• [PR] Enables DefaultListFilesCache by default [datafusion] via GitHub
• [PR] feat: Add support spark 4x cast [datafusion-comet] via GitHub
  • Re: [PR] feat: Add support spark 4x cast [datafusion-comet] via GitHub
  • Re: [PR] feat: Add support spark 4x cast [datafusion-comet] via GitHub
  • Re: [PR] feat: Add support spark 4x cast [datafusion-comet] via GitHub
  • Re: [PR] feat: Add support spark 4x cast [datafusion-comet] via GitHub
• [PR] allow expressions to pass through RepartitionExec [datafusion] via GitHub
• [PR] chore: `cargo update` [datafusion-comet] via GitHub
  • Re: [PR] chore: `cargo update` [datafusion-comet] via GitHub
  • Re: [PR] chore: `cargo update` [datafusion-comet] via GitHub
• [PR] Optimize muti-column grouping with StringView/ByteView [datafusion] via GitHub
  • Re: [PR] Optimize muti-column grouping with StringView/ByteView [datafusion] via GitHub
  • Re: [PR] Optimize muti-column grouping with StringView/ByteView [datafusion] via GitHub
  • Re: [PR] Optimize muti-column grouping with StringView/ByteView [datafusion] via GitHub
• [PR] ignore [datafusion-comet] via GitHub
  • Re: [PR] ignore: investigating a test failure [datafusion-comet] via GitHub
  • Re: [PR] ignore: investigating a test failure [datafusion-comet] via GitHub
  • Re: [PR] fix: Modulus on decimal data type mismatch [datafusion-comet] via GitHub
  • Re: [PR] fix: Modulus on decimal data type mismatch [datafusion-comet] via GitHub
• [PR] [minor] Upgrade rust version [datafusion] via GitHub
• [PR] fix: Implement `reset_state` for `LazyMemoryExec` [datafusion] via GitHub
  • Re: [PR] fix: Implement `reset_state` for `LazyMemoryExec` [datafusion] via GitHub
  • Re: [PR] fix: Implement `reset_state` for `LazyMemoryExec` [datafusion] via GitHub
• [PR] Update remaining crates to rust 2024 edition [datafusion] via GitHub
• Re: [PR] feat(spark): implement Spark `try_sum` function [datafusion] via GitHub
• [I] Future of Iceberg Support in Comet [datafusion-comet] via GitHub
  • Re: [I] Future of Iceberg Support in Comet [datafusion-comet] via GitHub
  • Re: [I] Future of Iceberg Support in Comet [datafusion-comet] via GitHub
  • Re: [I] Future of Iceberg Support in Comet [datafusion-comet] via GitHub
  • Re: [I] Future of Iceberg Support in Comet [datafusion-comet] via GitHub
  • Re: [I] Future of Iceberg Support in Comet [datafusion-comet] via GitHub
• [PR] chore: Remove `row_step` from `process_sorted_row_partition` [datafusion-comet] via GitHub
  • Re: [PR] chore: Remove `row_step` from `process_sorted_row_partition` [datafusion-comet] via GitHub
  • Re: [PR] chore: Remove `row_step` from `process_sorted_row_partition` [datafusion-comet] via GitHub
• Re: [I] API to register behavior for Extension Types [datafusion] via GitHub
• [PR] fix: Wrap join operators with make_cooperative() for cancellation support [datafusion] via GitHub
  • Re: [PR] fix: Wrap join operators with make_cooperative() for cancellation support [datafusion] via GitHub
  • Re: [PR] fix: Wrap join operators with make_cooperative() for cancellation support [datafusion] via GitHub
  • Re: [PR] fix: Wrap join operators with make_cooperative() for cancellation support [datafusion] via GitHub
  • Re: [PR] fix: Wrap join operators with make_cooperative() for cancellation support [datafusion] via GitHub
• Re: [I] Add a document page for all available metrics [datafusion] via GitHub
  • Re: [I] Add a document page for all available metrics [datafusion] via GitHub
• [PR] doc: add NestedLoopJoinExec metrics to user-guide/metrics.md [datafusion] via GitHub
• [I] Join operators don't yield to tokio runtime, preventing query cancellation [datafusion] via GitHub
  • Re: [I] Join operators don't yield to tokio runtime, preventing query cancellation [datafusion] via GitHub
• [PR] Update 4 crates to rust 2024 edition [datafusion] via GitHub
  • Re: [PR] Update 4 crates to rust 2024 edition [datafusion] via GitHub
  • Re: [PR] Update 4 crates to rust 2024 edition [datafusion] via GitHub
• [I] Add `arrow_metadata(<expr>)` UDF [datafusion] via GitHub
• [PR] fix: enable cast tests for Spark 4.0 [datafusion-comet] via GitHub
  • Re: [PR] fix: enable cast tests for Spark 4.0 [datafusion-comet] via GitHub
• [PR] [WIP] support PartialMerge [datafusion-comet] via GitHub
  • Re: [PR] [WIP] support PartialMerge [datafusion-comet] via GitHub
  • Re: [PR] [WIP] support PartialMerge [datafusion-comet] via GitHub
• [PR] chore: Use fixed seed in RNG in tests [datafusion-comet] via GitHub
  • Re: [PR] chore: Use fixed seed in RNG in tests [datafusion-comet] via GitHub
  • Re: [PR] chore: Use fixed seed in RNG in tests [datafusion-comet] via GitHub
• [PR] WIP: Upgrade DataFusion to arrow-rs/parquet 57.2.0 [datafusion] via GitHub
• [I] Support for negative scale decimals in ScalarValue [datafusion] via GitHub
  • Re: [I] Support for negative scale decimals in ScalarValue [datafusion] via GitHub
• [PR] fix: format decimal to string when casting to integral type [datafusion-comet] via GitHub
  • Re: [PR] fix: format decimal to string when casting to integral type [datafusion-comet] via GitHub
• [I] Projection Expr is collapsed into a single Column string when GROUP BY is present, losing the original Expr [datafusion] via GitHub
• Re: [I] Invalid `GROUPING SETS` caused panic [datafusion] via GitHub
• Re: [I] Add quote-style parameter for CSV options [datafusion] via GitHub
• [PR] chore: use datafusion impl of hex function [datafusion-comet] via GitHub
  • Re: [PR] chore: use datafusion impl of hex function [datafusion-comet] via GitHub
  • Re: [PR] chore: use datafusion impl of hex function [datafusion-comet] via GitHub
• [PR] minor: cleanup unnecessary config in `decimal.slt` [datafusion] via GitHub
  • Re: [PR] minor: cleanup unnecessary config in `decimal.slt` [datafusion] via GitHub
• Re: [I] Limited Inline Comment Support in AST [datafusion-sqlparser-rs] via GitHub
• [I] Stateless execution plans [datafusion] via GitHub
  • Re: [I] Stateless execution plans [datafusion] via GitHub
  • Re: [I] Stateless execution plans [datafusion] via GitHub
  • Re: [I] Stateless execution plans [datafusion] via GitHub
• Re: [I] Prepared physical plan reusage [datafusion] via GitHub
  • Re: [I] Prepared physical plan reusage [datafusion] via GitHub
• [PR] chore: enforce clippy::allow_attributes for proto, pruning, session [datafusion] via GitHub
  • Re: [PR] chore: enforce clippy::allow_attributes for proto, pruning, session [datafusion] via GitHub
  • Re: [PR] chore: enforce clippy::allow_attributes for proto, pruning, session [datafusion] via GitHub
  • Re: [PR] chore: enforce clippy::allow_attributes for proto, pruning, session [datafusion] via GitHub
• [PR] chore(deps): bump taiki-e/install-action from 2.62.67 to 2.63.3 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.62.67 to 2.63.3 [datafusion] via GitHub
• Re: [I] TPCH q1 with no predicates is 2x slower than duckdb [datafusion] via GitHub
  • Re: [I] TPCH q1 with no predicates is 2x slower than duckdb [datafusion] via GitHub
  • Re: [I] TPCH q1 with no predicates is 2x slower than duckdb [datafusion] via GitHub
• [I] `cast_decimal_to_int16_down` truncated value incorrectly [datafusion-comet] via GitHub
• Re: [PR] Implement arithmetic overflow error handling [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
• [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
• [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
• [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
• [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
• [PR] wip: integrate batch coalescer with async fn exec [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: [I] Different behavior in datafusion 35.0.0 in reading hive-partitioned parquet data [datafusion-python] 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
• [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

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