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• Re: [PR] feat(spark): implement Spark `try_sum` function [datafusion] via GitHub
• [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: [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: [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
• [I] Add `arrow_metadata(<expr>)` UDF [datafusion] via GitHub
• [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
• [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
• [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] 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
• [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] 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
• [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] 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: [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
• [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
• [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
• [I] bug: Median() encountered integer overflow and truncates integer results [datafusion] via GitHub
• [PR] Add placeholder type inference for CASE expressions [datafusion] via GitHub
  • Re: [PR] Add placeholder type inference for CASE expressions [datafusion] via GitHub
  • Re: [PR] Add placeholder type inference for CASE expressions [datafusion] via GitHub

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