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• Re: [PR] chore(deps): bump object_store from 0.12.5 to 0.13.1 in /native [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump object_store from 0.12.5 to 0.13.1 in /native [datafusion-comet] via GitHub
• [PR] Ballista Text User Interface app [datafusion-ballista] via GitHub
  • Re: [PR] Ballista Text User Interface app [datafusion-ballista] via GitHub
  • Re: [PR] Ballista Text User Interface app [datafusion-ballista] via GitHub
  • Re: [PR] Ballista Text User Interface app [datafusion-ballista] via GitHub
  • Re: [PR] Ballista Text User Interface app [datafusion-ballista] via GitHub
  • Re: [PR] Ballista Text User Interface app [datafusion-ballista] via GitHub
  • Re: [PR] Ballista Text User Interface app [datafusion-ballista] via GitHub
  • Re: [PR] WIP: Ballista Text User Interface app [datafusion-ballista] via GitHub
  • Re: [PR] WIP: Ballista Text User Interface app [datafusion-ballista] via GitHub
  • Re: [PR] WIP: Ballista Text User Interface app [datafusion-ballista] via GitHub
  • Re: [PR] WIP: Ballista Text User Interface app [datafusion-ballista] via GitHub
  • [PR] Ballista Text User Interface app [datafusion-ballista] via GitHub
  • Re: [PR] Ballista Text User Interface app [datafusion-ballista] via GitHub
• [PR] refactor: Change TableScan.projection from indices to expressions [datafusion] via GitHub
  • Re: [PR] refactor: Change TableScan.projection from indices to expressions [datafusion] via GitHub
  • Re: [PR] refactor: Change TableScan.projection from indices to expressions [datafusion] via GitHub
  • Re: [PR] refactor: Change TableScan.projection from indices to expressions [datafusion] via GitHub
  • Re: [PR] refactor: Change TableScan.projection from indices to expressions [datafusion] via GitHub
  • Re: [PR] refactor: Change TableScan.projection from indices to expressions [datafusion] via GitHub
  • Re: [PR] refactor: Change TableScan.projection from indices to expressions [datafusion] via GitHub
• [I] Use interleave_record_batch to avoid tiny batches in sort-based shuffle [datafusion-ballista] via GitHub
  • Re: [I] Use interleave_record_batch to avoid tiny batches in sort-based shuffle [datafusion-ballista] via GitHub
  • Re: [I] Use interleave_record_batch to avoid tiny batches in sort-based shuffle [datafusion-ballista] via GitHub
  • Re: [I] Use interleave_record_batch to avoid tiny batches in sort-based shuffle [datafusion-ballista] via GitHub
  • Re: [I] Use interleave_record_batch to avoid tiny batches in sort-based shuffle [datafusion-ballista] via GitHub
• [PR] fix: use single spill file per partition in sort-based shuffle [datafusion-ballista] via GitHub
  • Re: [PR] Improve sort-based shuffle: single spill file per partition and batch coalescing [datafusion-ballista] via GitHub
  • Re: [PR] Improve sort-based shuffle: single spill file per partition and batch coalescing [datafusion-ballista] via GitHub
  • Re: [PR] Improve sort-based shuffle: single spill file per partition and batch coalescing [datafusion-ballista] via GitHub
  • Re: [PR] Improve sort-based shuffle: single spill file per partition and batch coalescing [datafusion-ballista] via GitHub
  • Re: [PR] Improve sort-based shuffle: single spill file per partition and batch coalescing [datafusion-ballista] via GitHub
  • Re: [PR] Improve sort-based shuffle: single spill file per partition and batch coalescing [datafusion-ballista] via GitHub
  • Re: [PR] Improve sort-based shuffle: single spill file per partition and batch coalescing [datafusion-ballista] via GitHub
  • Re: [PR] Improve sort-based shuffle: single spill file per partition and batch coalescing [datafusion-ballista] via GitHub
  • Re: [PR] Improve sort-based shuffle: single spill file per partition and batch coalescing [datafusion-ballista] via GitHub
  • Re: [PR] Improve sort-based shuffle: single spill file per partition and batch coalescing [datafusion-ballista] via GitHub
  • Re: [PR] Improve sort-based shuffle: single spill file per partition and batch coalescing [datafusion-ballista] via GitHub
  • Re: [PR] Improve sort-based shuffle: single spill file per partition and batch coalescing [datafusion-ballista] via GitHub
  • Re: [PR] Improve sort-based shuffle: single spill file per partition and batch coalescing [datafusion-ballista] via GitHub
  • Re: [PR] Improve sort-based shuffle: single spill file per partition and batch coalescing [datafusion-ballista] via GitHub
  • Re: [PR] Improve sort-based shuffle: single spill file per partition and batch coalescing [datafusion-ballista] via GitHub
  • Re: [PR] Improve sort-based shuffle: single spill file per partition and batch coalescing [datafusion-ballista] via GitHub
  • Re: [PR] Improve sort-based shuffle: single spill file per partition and batch coalescing [datafusion-ballista] via GitHub
  • Re: [PR] Improve sort-based shuffle: single spill file per partition and batch coalescing [datafusion-ballista] via GitHub
  • Re: [PR] Improve sort-based shuffle: single spill file per partition and batch coalescing [datafusion-ballista] via GitHub
  • Re: [PR] Improve sort-based shuffle: single spill file per partition and batch coalescing [datafusion-ballista] via GitHub
• [PR] Moved more structs outside of Statement to facilitate reuse [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Moved more structs outside of Statement to facilitate reuse [datafusion-sqlparser-rs] via GitHub
• [I] Add sqllogictest coverage for UDWF return types in information_schema [datafusion] via GitHub
  • Re: [I] Add sqllogictest coverage for UDWF return types in information_schema [datafusion] via GitHub
  • Re: [I] Add sqllogictest coverage for UDWF return types in information_schema [datafusion] via GitHub
• Re: [I] More specific `COLLATE` enum [datafusion-sqlparser-rs] via GitHub
• [PR] feat(python): Improve Jupyter notebook support with SQL magic commands and examples [datafusion-ballista] via GitHub
• Re: [I] Optimize spark sha2 [datafusion] via GitHub
  • Re: [I] Optimize spark sha2 [datafusion] via GitHub
  • Re: [I] Optimize spark sha2 [datafusion] via GitHub
• Re: [PR] Refactor(optimizer): Simplify Stable ScalarUDFs using physical execution [datafusion] via GitHub
  • Re: [PR] Refactor(optimizer): Simplify Stable ScalarUDFs using physical execution [datafusion] via GitHub
  • Re: [PR] Refactor(optimizer): Simplify Stable ScalarUDFs using physical execution [datafusion] via GitHub
• Re: [I] Support `EXPLAIN ANALYZE` in Ballista [datafusion-ballista] via GitHub
  • Re: [I] Support `EXPLAIN ANALYZE` in Ballista [datafusion-ballista] via GitHub
• [I] Refactor `iszero()` and `isnan()` to accept all numeric types [datafusion] via GitHub
  • Re: [I] Refactor `iszero()` and `isnan()` to accept all numeric types [datafusion] via GitHub
• [I] Consider PR labels to make reviewing easier [datafusion] via GitHub
  • Re: [I] Consider PR labels to make reviewing easier [datafusion] via GitHub
  • Re: [I] Consider PR labels to make reviewing easier [datafusion] via GitHub
  • Re: [I] Consider PR labels to make reviewing easier [datafusion] via GitHub
  • Re: [I] Consider PR labels to make reviewing easier [datafusion] via GitHub
  • Re: [I] Consider PR labels to make reviewing easier [datafusion] via GitHub
  • Re: [I] Consider PR labels to make reviewing easier [datafusion] via GitHub
• [I] Is there a way for accumulators to know when they are used in windows? [datafusion] via GitHub
  • Re: [I] Is there a way for accumulators to know when they are used in windows? [datafusion] via GitHub
• Re: [I] Binary string (`BYTEA`, `Binary`) concatenation [datafusion] via GitHub
  • Re: [I] Binary string (`BYTEA`, `Binary`) concatenation [datafusion] via GitHub
  • Re: [I] Binary string (`BYTEA`, `Binary`) concatenation [datafusion] via GitHub
  • Re: [I] Binary string (`BYTEA`, `Binary`) concatenation [datafusion] via GitHub
  • Re: [I] Binary string (`BYTEA`, `Binary`) concatenation [datafusion] via GitHub
• Re: [I] DataFrame write api should accept Overwrite option when the file already exist [datafusion] via GitHub
  • Re: [I] DataFrame write api should accept Overwrite option when the file already exist [datafusion] via GitHub
• Re: [PR] support additional operators in AnyOp [datafusion] via GitHub
  • Re: [PR] support additional operators in AnyOp [datafusion] via GitHub
• [PR] Refactor BitwiseXOR operator using ScalarUDF framework [datafusion] via GitHub
  • Re: [PR] Refactor BitwiseXOR operator using ScalarUDF framework [datafusion] via GitHub
  • Re: [PR] Refactor BitwiseXOR operator using ScalarUDF framework [datafusion] via GitHub
  • Re: [PR] Refactor BitwiseXOR operator using ScalarUDF framework [datafusion] via GitHub
  • Re: [PR] Refactor BitwiseXOR operator using ScalarUDF framework [datafusion] via GitHub
  • Re: [PR] Refactor BitwiseXOR operator using ScalarUDF framework [datafusion] via GitHub
• [PR] PostgreSQL: Support PostgreSQL ANALYZE with optional table and column [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] PostgreSQL: Support PostgreSQL ANALYZE with optional table and column [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] PostgreSQL: Support PostgreSQL ANALYZE with optional table and column [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] PostgreSQL: Support PostgreSQL ANALYZE with optional table and column [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] PostgreSQL: Support PostgreSQL ANALYZE with optional table and column [datafusion-sqlparser-rs] via GitHub
• [PR] Add `truncated_rows` parameter to `register_csv()` and `read_csv()` [datafusion-python] via GitHub
  • Re: [PR] Add `truncated_rows` parameter to `register_csv()` and `read_csv()` [datafusion-python] via GitHub
  • Re: [PR] Add `truncated_rows` parameter to `register_csv()` and `read_csv()` [datafusion-python] via GitHub
  • Re: [PR] Add `truncated_rows` parameter to `register_csv()` and `read_csv()` [datafusion-python] via GitHub
  • Re: [PR] Add `truncated_rows` parameter to `register_csv()` and `read_csv()` [datafusion-python] via GitHub
  • Re: [PR] Add `truncated_rows` parameter to `register_csv()` and `read_csv()` [datafusion-python] via GitHub
  • Re: [PR] Add `truncated_rows` parameter to `register_csv()` and `read_csv()` [datafusion-python] via GitHub
• [PR] feat : enable_spark_tests_comet_native_writer [datafusion-comet] via GitHub
  • Re: [PR] feat : enable_spark_tests_comet_native_writer [datafusion-comet] via GitHub
  • Re: [PR] feat : enable_spark_tests_comet_native_writer [datafusion-comet] via GitHub
  • Re: [PR] feat : enable_spark_tests_comet_native_writer [datafusion-comet] via GitHub
  • Re: [PR] feat : enable_spark_tests_comet_native_writer [datafusion-comet] via GitHub
  • Re: [PR] feat : enable_spark_tests_comet_native_writer [datafusion-comet] via GitHub
  • Re: [PR] feat : enable_spark_tests_comet_native_writer [datafusion-comet] via GitHub
  • Re: [PR] feat : enable_spark_tests_comet_native_writer [datafusion-comet] via GitHub
  • Re: [PR] feat : enable_spark_tests_comet_native_writer [datafusion-comet] via GitHub
  • Re: [PR] feat : enable_spark_tests_comet_native_writer [datafusion-comet] via GitHub
  • Re: [PR] feat : enable_spark_tests_comet_native_writer [datafusion-comet] via GitHub
  • Re: [PR] feat: enable_spark_tests_comet_native_writer [datafusion-comet] via GitHub
  • Re: [PR] feat: enable_spark_tests_comet_native_writer [datafusion-comet] via GitHub
  • Re: [PR] feat: enable_spark_tests_comet_native_writer [datafusion-comet] via GitHub
  • Re: [PR] feat: enable_spark_tests_comet_native_writer [datafusion-comet] via GitHub
  • Re: [PR] feat: Enable native Parquet writer in Spark SQL tests [datafusion-comet] via GitHub
  • Re: [PR] feat: Enable native Parquet writer in Spark SQL tests [datafusion-comet] via GitHub
  • Re: [PR] feat: Enable native Parquet writer in Spark SQL tests [datafusion-comet] via GitHub
  • Re: [PR] feat: Enable native Parquet writer in Spark SQL tests [datafusion-comet] via GitHub
  • Re: [PR] feat: Enable native Parquet writer in Spark SQL tests [datafusion-comet] via GitHub
• Re: [I] Comet 0.13.0 Release (January 2026) [datafusion-comet] via GitHub
• [PR] fix: fix formatting in comet 0.13.0 blog post [datafusion-site] via GitHub
  • Re: [PR] fix: fix formatting in comet 0.13.0 blog post [datafusion-site] via GitHub
• [PR] fix: fix frontmatter for Comet 0.13.0 post [datafusion-site] via GitHub
  • Re: [PR] fix: fix frontmatter for Comet 0.13.0 post [datafusion-site] via GitHub
• [PR] Alamb/consolidate aggreate enu [datafusion] via GitHub
• Re: [I] Standardize microbenchmarks [datafusion-comet] via GitHub
  • Re: [I] Standardize microbenchmarks [datafusion-comet] via GitHub
• Re: [I] PR builds are failing: hashFiles('**/pom.xml') failed [datafusion-comet] via GitHub
• Re: [I] Fix inconsistencies in operator configs for enabling/disabling/allowing incompatible [datafusion-comet] via GitHub
  • Re: [I] Fix inconsistencies in operator configs for enabling/disabling/allowing incompatible [datafusion-comet] via GitHub
• Re: [I] 0.9.2 Release [datafusion-comet] via GitHub
• Re: [I] Implement low-level debugging to show flow of batches through the system [datafusion-comet] via GitHub
  • Re: [I] Implement low-level debugging to show flow of batches through the system [datafusion-comet] via GitHub
• Re: [I] Make iceberg integration tests optional [datafusion-comet] via GitHub
  • Re: [I] Make iceberg integration tests optional [datafusion-comet] via GitHub
• Re: [I] Avoid unnecessary uses of CopyExec in native plan [datafusion-comet] via GitHub
  • Re: [I] Avoid unnecessary uses of CopyExec in native plan [datafusion-comet] via GitHub
• Re: [I] Add support for `abs` [datafusion-comet] via GitHub
  • Re: [I] Add support for `abs` [datafusion-comet] via GitHub
• Re: [I] [EPIC] Observability [datafusion-comet] via GitHub
  • Re: [I] [EPIC] Observability [datafusion-comet] via GitHub
• Re: [I] Set up Comet + Iceberg integration tests in CI [datafusion-comet] via GitHub
  • Re: [I] Set up Comet + Iceberg integration tests in CI [datafusion-comet] via GitHub
• Re: [I] Add Comet to H2O.ai benchmark [datafusion-comet] via GitHub
  • Re: [I] Add Comet to H2O.ai benchmark [datafusion-comet] via GitHub
• Re: [I] Stop running Rust tests in CI for all Java and Spark versions [datafusion-comet] via GitHub
  • Re: [I] Stop running Rust tests in CI for all Java and Spark versions [datafusion-comet] via GitHub
• Re: [I] Fallback reason missing for incompatible casts [datafusion-comet] via GitHub
  • Re: [I] Fallback reason missing for incompatible casts [datafusion-comet] via GitHub
• Re: [I] [EPIC] Improve validation logic and testing for supported data types for expressions [datafusion-comet] via GitHub
  • Re: [I] [EPIC] Improve validation logic and testing for supported data types for expressions [datafusion-comet] via GitHub
• Re: [I] [native_datafusion] Add support for reading arrays [datafusion-comet] via GitHub
  • Re: [I] [native_datafusion] Add support for reading arrays [datafusion-comet] via GitHub
• Re: [I] Allow native shuffle batch size to be configured separately from comet default batch size [datafusion-comet] via GitHub
• Re: [I] Improve SortMergeJoin performance [datafusion-comet] via GitHub
  • Re: [I] Improve SortMergeJoin performance [datafusion-comet] via GitHub
• Re: [I] Implement native parsing of JSON files [datafusion-comet] via GitHub
  • Re: [I] Implement native parsing of JSON files [datafusion-comet] via GitHub
• Re: [I] Avoid unpacking dictionary arrays before performing joins [datafusion-comet] via GitHub
  • Re: [I] Avoid unpacking dictionary arrays before performing joins [datafusion-comet] via GitHub
• Re: [I] Evaluate use of selection vectors in scan-filter-join operations [datafusion-comet] via GitHub
• Re: [I] [EPIC] Improving Performance [datafusion-comet] via GitHub
  • Re: [I] [EPIC] Improving Performance [datafusion-comet] via GitHub
• Re: [I] [EPIC] Spark-compatible cast / try_cast operations [datafusion-comet] via GitHub
  • Re: [I] [EPIC] Spark-compatible cast / try_cast operations [datafusion-comet] via GitHub
  • Re: [I] [EPIC] Spark-compatible cast / try_cast operations [datafusion-comet] via GitHub
  • Re: [I] [EPIC] Spark-compatible cast / try_cast operations [datafusion-comet] via GitHub
  • Re: [I] [EPIC] Spark-compatible cast / try_cast operations [datafusion-comet] via GitHub
  • Re: [I] [EPIC] Spark-compatible cast / try_cast operations [datafusion-comet] via GitHub
• Re: [I] Refactor QueryPlanSerde to Use Individual Classes for Expression Translation [datafusion-comet] via GitHub
  • Re: [I] Refactor QueryPlanSerde to Use Individual Classes for Expression Translation [datafusion-comet] via GitHub
• Re: [I] Avoid transition to Comet in some cases if the overhead of R2C and C2R outweighs the benefit [datafusion-comet] via GitHub
  • Re: [I] Avoid transition to Comet in some cases if the overhead of R2C and C2R outweighs the benefit [datafusion-comet] via GitHub
• [I] Expose all CSV read options [datafusion-python] via GitHub
  • Re: [I] Expose all CSV read options [datafusion-python] via GitHub
  • Re: [I] Expose all CSV read options [datafusion-python] via GitHub
• Re: [I] Fall back to Spark if query uses DPP to avoid perf regressions in TPC-DS [datafusion-comet] via GitHub
  • Re: [I] Fall back to Spark if query uses DPP to avoid perf regressions in TPC-DS [datafusion-comet] via GitHub
• Re: [I] Implement native parsing of CSV files [datafusion-comet] via GitHub
  • Re: [I] Implement native parsing of CSV files [datafusion-comet] via GitHub
• Re: [I] Add CometColumnarToRowExec based on Spark ColumnarToRowExec [datafusion-comet] via GitHub
  • Re: [I] Add CometColumnarToRowExec based on Spark ColumnarToRowExec [datafusion-comet] via GitHub
• Re: [I] CI should run rat tests on PRs that only have docs changes [datafusion-comet] via GitHub
  • Re: [I] CI should run rat tests on PRs that only have docs changes [datafusion-comet] via GitHub
• Re: [I] Support RangePartitioning with native shuffle [datafusion-comet] via GitHub
  • Re: [I] Support RangePartitioning with native shuffle [datafusion-comet] via GitHub
• Re: [I] Benchmark and optimize CAST from String to Integer [datafusion-comet] via GitHub
  • Re: [I] Benchmark and optimize CAST from String to Integer [datafusion-comet] via GitHub
• Re: [I] [DISCUSS] DataFusion upgrade policy [datafusion-comet] via GitHub
  • Re: [I] [DISCUSS] DataFusion upgrade policy [datafusion-comet] via GitHub
  • Re: [I] [DISCUSS] DataFusion upgrade policy [datafusion-comet] via GitHub
• [PR] fix: handle mark joins correctly in optimize_projections [datafusion] via GitHub
  • Re: [PR] fix: handle mark joins correctly in optimize_projections [datafusion] via GitHub
  • Re: [PR] fix: handle mark joins correctly in optimize_projections [datafusion] via GitHub
• Re: [I] Document all known incompatibilities [datafusion-comet] via GitHub
  • Re: [I] Document all known incompatibilities [datafusion-comet] via GitHub
• Re: [I] Standardize how we determine if operators are enabled and supported [datafusion-comet] via GitHub
  • Re: [I] Standardize how we determine if operators are enabled and supported [datafusion-comet] via GitHub

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