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• • Re: [PR] docs: publish Javadoc as part of the User Guide [datafusion-java] via GitHub
• [PR] build(deps): bump cryptography from 44.0.0 to 46.0.7 [datafusion-python] via GitHub
• Re: [I] Automate breaking change detection [datafusion] via GitHub
  • Re: [I] Automate breaking change detection [datafusion] via GitHub
• [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] [WIP] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] [WIP] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] [WIP] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] [WIP] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] [WIP] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] [WIP] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] [WIP] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] [WIP] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] [WIP] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
• [PR] perf: reuse mask in `truncate_list_nulls` and avoid counting all true bits [datafusion] via GitHub
  • Re: [PR] perf: reuse mask in `truncate_list_nulls` and avoid counting all true bits [datafusion] via GitHub
  • Re: [PR] perf: reuse mask in `truncate_list_nulls` and avoid counting all true bits [datafusion] via GitHub
  • Re: [PR] perf: reuse mask in `truncate_list_nulls` and avoid counting all true bits [datafusion] via GitHub
  • Re: [PR] perf: reuse mask in `truncate_list_nulls` and avoid counting all true bits [datafusion] via GitHub
  • Re: [PR] perf: reuse mask in `truncate_list_nulls` and avoid counting all true bits [datafusion] via GitHub
  • Re: [PR] perf: reuse mask in `truncate_list_nulls` and avoid counting all true bits [datafusion] via GitHub
  • Re: [PR] perf: reuse mask in `truncate_list_nulls` and avoid counting all true bits [datafusion] via GitHub
  • Re: [PR] perf: reuse mask in `truncate_list_nulls` and avoid counting all true bits [datafusion] via GitHub
  • Re: [PR] perf: reuse mask in `truncate_list_nulls` and avoid counting all true bits [datafusion] via GitHub
  • Re: [PR] perf: reuse mask in `truncate_list_nulls` and avoid counting all true bits [datafusion] via GitHub
  • Re: [PR] perf: reuse mask in `truncate_list_nulls` and avoid counting all true bits [datafusion] via GitHub
  • Re: [PR] perf: reuse mask in `truncate_list_nulls` and avoid counting all true bits [datafusion] via GitHub
  • Re: [PR] perf: reuse mask in `truncate_list_nulls` and avoid counting all true bits [datafusion] via GitHub
• [PR] Expose `ExecutionPlan` statistics across the FFI boundary [datafusion] via GitHub
  • Re: [PR] Expose `ExecutionPlan` statistics across the FFI boundary [datafusion] via GitHub
  • Re: [PR] Expose `ExecutionPlan` statistics across the FFI boundary [datafusion] via GitHub
  • Re: [PR] Expose `ExecutionPlan` statistics across the FFI boundary [datafusion] via GitHub
  • Re: [PR] Expose `ExecutionPlan` statistics across the FFI boundary [datafusion] via GitHub
• Re: [PR] Add internal repartition metrics [datafusion] via GitHub
  • Re: [PR] Add internal repartition metrics [datafusion] via GitHub
• [PR] chore(deps): bump urllib3 from 2.6.3 to 2.7.0 in /python [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump urllib3 from 2.6.3 to 2.7.0 in /python [datafusion-ballista] via GitHub
• Re: [I] chore: Publish specific documentation for each supported Spark version [datafusion-comet] via GitHub
• [PR] feat: Support Spark Expression Encode [datafusion-comet] via GitHub
  • Re: [PR] feat: Support Spark Expression Encode [datafusion-comet] via GitHub
  • Re: [PR] feat: Support Spark Expression Encode [datafusion-comet] via GitHub
  • Re: [PR] feat: Support Spark Expression Encode [datafusion-comet] via GitHub
  • Re: [PR] feat: Support Spark Expression Encode [datafusion-comet] via GitHub
  • Re: [PR] feat: Support Spark Expression Encode [datafusion-comet] via GitHub
• [PR] feat(dataframe): add limit, distinct, dropColumns, withColumnRenamed [datafusion-java] via GitHub
  • Re: [PR] feat(dataframe): add limit, distinct, dropColumns, withColumnRenamed [datafusion-java] via GitHub
• [PR] refactor(parquet): split opener.rs into module + add ParquetAccessPlanOptimizer trait [datafusion] via GitHub
  • Re: [PR] refactor(parquet): split opener.rs into module + add ParquetAccessPlanOptimizer trait [datafusion] via GitHub
  • Re: [PR] refactor(parquet-datasource): mechanical cleanup of opener / file_format / row_group_filter [datafusion] via GitHub
• [I] Add internal EXPLAIN ANALYZE metric level [datafusion] via GitHub
• Re: [I] Improve integration tests to test push scheduler mode as well [datafusion-ballista] via GitHub
  • Re: [I] Improve integration tests to test push scheduler mode as well [datafusion-ballista] via GitHub
  • Re: [I] Improve integration tests to test push scheduler mode as well [datafusion-ballista] via GitHub
• [PR] Fix no executor warning, correct prometheus feature name in TUI, expose pending tasks in metrics [datafusion-ballista] via GitHub
  • Re: [PR] Fix no executor warning, correct prometheus feature name in TUI, expose pending tasks in metrics [datafusion-ballista] via GitHub
  • Re: [PR] Fix no executor warning, correct prometheus feature name in TUI, expose pending tasks in metrics [datafusion-ballista] via GitHub
  • Re: [PR] Fix no executor warning, correct prometheus feature name in TUI, expose pending tasks in metrics [datafusion-ballista] via GitHub
  • Re: [PR] Fix no executor warning, correct prometheus feature name in TUI, expose pending tasks in metrics [datafusion-ballista] via GitHub
• [I] Suggestion: enable `unreachable_pub` lint at workspace level [datafusion] via GitHub
• [I] Incorrect "Fix bad UTF-8 char " actually corrupts the input [datafusion-benchmarks] via GitHub
• [PR] chore: enable `unreachable_pub` lint at workspace level [datafusion] via GitHub
  • Re: [PR] chore: enable `unreachable_pub` lint at workspace level [datafusion] via GitHub
• [I] Expose `ExecutionPlan` statistics across the FFI boundary [datafusion] via GitHub
• [PR] refactor: pass csv and parquet read options via protobuf [datafusion-java] via GitHub
  • Re: [PR] refactor: pass csv and parquet read options via protobuf [datafusion-java] via GitHub
• [PR] chore: update documentation links for 0.16.0 release [datafusion-comet] via GitHub
  • Re: [PR] chore: update documentation links for 0.16.0 release [datafusion-comet] via GitHub
• [I] Column name cannot be `key` when use `GenericDialect`. [datafusion-sqlparser-rs] via GitHub
• [D] Apache DataFusion Comet 0.16.0 Release - Apache DataFusion Blog [datafusion-site] via GitHub
• [PR] feat(ffi): Add `FFI_QueryPlanner` to support foreign query planners across shared-library boundaries [datafusion] via GitHub
  • Re: [PR] feat: Add `FFI_QueryPlanner` to support foreign query planners across shared-library boundaries [datafusion] via GitHub
• [PR] feat: eliminate GlobalLimitExec when input statistics prove limit is already satisfied [datafusion] via GitHub
  • Re: [PR] feat: eliminate GlobalLimitExec when input statistics prove limit is already satisfied [datafusion] via GitHub
  • Re: [PR] feat: eliminate GlobalLimitExec when input statistics prove limit is already satisfied [datafusion] via GitHub
• [I] Implement JVM UDFs for JSON expressions [datafusion-comet] via GitHub
  • Re: [I] Implement JVM UDFs for JSON expressions [datafusion-comet] via GitHub
• Re: [I] [EPIC] Improve awslabs published results for Comet w/ TPC-DS [datafusion-comet] via GitHub
  • Re: [I] [EPIC] Improve awslabs published results for Comet w/ TPC-DS [datafusion-comet] via GitHub
• [I] Add support for native custom scalar UDFs [datafusion-comet] via GitHub
• [PR] feat: configure SessionContext and RuntimeEnv via builder [datafusion-java] via GitHub
  • Re: [PR] feat: configure SessionContext and RuntimeEnv via builder [datafusion-java] via GitHub
• [I] Implement JVM UDFs for all date/time expressions [datafusion-comet] via GitHub
  • Re: [I] Implement JVM UDFs for all date/time expressions [datafusion-comet] via GitHub
  • Re: [I] Implement JVM UDFs for all date/time expressions [datafusion-comet] via GitHub
• Re: [I] impl Any for MemoryPool [datafusion] via GitHub
• Re: [PR] draft: testing transition from abi_stable to stabby [datafusion] via GitHub
• [PR] feat(write): add DataFrame.writeParquet with ParquetWriteOptions [datafusion-java] via GitHub
  • Re: [PR] feat(write): add DataFrame.writeParquet with ParquetWriteOptions [datafusion-java] via GitHub
• Re: [PR] build(deps): bump astral-sh/setup-uv from 7.3.1 to 8.1.0 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump astral-sh/setup-uv from 7.3.1 to 8.1.0 [datafusion-python] via GitHub
• Re: [PR] build(deps): bump uuid from 1.23.0 to 1.23.1 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump uuid from 1.23.0 to 1.23.1 [datafusion-python] via GitHub
• Re: [PR] build(deps): bump mimalloc from 0.1.48 to 0.1.50 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump mimalloc from 0.1.48 to 0.1.50 [datafusion-python] via GitHub
• Re: [PR] build(deps): bump rand from 0.9.2 to 0.9.4 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump rand from 0.9.2 to 0.9.4 [datafusion-python] via GitHub
• Re: [PR] build(deps): bump rustls-webpki from 0.103.10 to 0.103.13 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump rustls-webpki from 0.103.10 to 0.103.13 [datafusion-python] via GitHub
• Re: [PR] build(deps): bump datafusion-common from 53.0.0 to 53.1.0 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump datafusion-common from 53.0.0 to 53.1.0 [datafusion-python] via GitHub
• Re: [PR] build(deps): bump datafusion-proto from 53.0.0 to 53.1.0 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump datafusion-proto from 53.0.0 to 53.1.0 [datafusion-python] via GitHub
• Re: [PR] build(deps): bump datafusion-ffi from 53.0.0 to 53.1.0 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump datafusion-ffi from 53.0.0 to 53.1.0 [datafusion-python] via GitHub
• Re: [PR] build(deps): bump datafusion-catalog from 53.0.0 to 53.1.0 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump datafusion-catalog from 53.0.0 to 53.1.0 [datafusion-python] via GitHub
• Re: [PR] build(deps): bump datafusion from 53.0.0 to 53.1.0 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump datafusion from 53.0.0 to 53.1.0 [datafusion-python] via GitHub
• Re: [PR] build(deps): bump arrow-schema from 58.1.0 to 58.2.0 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump arrow-schema from 58.1.0 to 58.2.0 [datafusion-python] via GitHub
• Re: [PR] build(deps): bump arrow-array from 58.1.0 to 58.2.0 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump arrow-array from 58.1.0 to 58.2.0 [datafusion-python] via GitHub
• [PR] docs: add DataFusion Java to subproject listings [datafusion] via GitHub
  • Re: [PR] docs: add DataFusion Java to subproject listings [datafusion] via GitHub
  • Re: [PR] docs: add DataFusion Java to subproject listings [datafusion] via GitHub
• [PR] ci: publish docs site to datafusion.apache.org/java/ [datafusion-java] via GitHub
  • Re: [PR] ci: publish docs site to datafusion.apache.org/java/ [datafusion-java] via GitHub
• [I] Use optimized StringBuilders / BulkNullStringArrayBuilder in more places [datafusion] via GitHub
  • Re: [I] Use optimized StringBuilders / BulkNullStringArrayBuilder in more places [datafusion] via GitHub
  • Re: [I] Use optimized StringBuilders / BulkNullStringArrayBuilder in more places [datafusion] via GitHub
• Re: [PR] Add ASYNC keyword support for CREATE INDEX [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Add ASYNC keyword support for CREATE INDEX [datafusion-sqlparser-rs] via GitHub
• [I] Decide on sync vs async DataFrame methods [datafusion-java] via GitHub
  • Re: [I] Decide on sync vs async DataFrame methods [datafusion-java] via GitHub
  • Re: [I] Decide on sync vs async DataFrame methods [datafusion-java] via GitHub
• [PR] build(deps): combined dependabot bumps (Cargo + workflows) [datafusion-python] via GitHub
  • Re: [PR] build(deps): combined dependabot bumps (Cargo + workflows) [datafusion-python] via GitHub
• [PR] Add rand() alias for random() [datafusion] via GitHub
  • Re: [PR] Add rand() alias for random() [datafusion] via GitHub
• [PR] docs: add Sphinx documentation site with user and contributor guides [datafusion-java] via GitHub
  • Re: [PR] docs: add Sphinx documentation site with user and contributor guides [datafusion-java] via GitHub
• [PR] docs: add GitHub issue and PR templates [datafusion-java] via GitHub
  • Re: [PR] docs: add GitHub issue and PR templates [datafusion-java] via GitHub
• [I] [DISCUSS] Simplify regex engine + incompatibility config model [datafusion-comet] via GitHub
• [PR] fix: preserve Inexact precision in Statistics::with_fetch when nr <= skip [datafusion] via GitHub
  • Re: [PR] fix: preserve Inexact precision in Statistics [datafusion] via GitHub
  • Re: [PR] fix: preserve Inexact precision in Statistics [datafusion] via GitHub
• [PR] [CLI/TUI] Use only tracing crate for logging in CLI and TUI [datafusion-ballista] via GitHub
  • Re: [PR] [CLI/TUI] Use only tracing crate for logging in CLI and TUI [datafusion-ballista] via GitHub
• Re: [I] Do not evaluate parquet predicates if they can be proven to be false [datafusion] via GitHub
  • Re: [I] Do not evaluate parquet predicates if they can be proven to be false [datafusion] via GitHub
• Re: [PR] feat: initial seed of Apache DataFusion Java bindings [datafusion-java] via GitHub
• [I] Expose CsvReadOptions via registerCsv and readCsv [datafusion-java] via GitHub
  • Re: [I] Expose CsvReadOptions via registerCsv and readCsv [datafusion-java] via GitHub
• [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
• [PR] feat(csv): expose CsvReadOptions via registerCsv and readCsv [datafusion-java] via GitHub
  • Re: [PR] feat(csv): expose CsvReadOptions via registerCsv and readCsv [datafusion-java] via GitHub
  • Re: [PR] feat(csv): expose CsvReadOptions via registerCsv and readCsv [datafusion-java] via GitHub
• Re: [I] Uncorrelated subquery in JOIN panics (SQLStorm) [datafusion] via GitHub
  • Re: [I] Uncorrelated subquery in JOIN panics (SQLStorm) [datafusion] via GitHub
• [PR] docs: replace roadmap with project-status checklist [datafusion-java] via GitHub
  • Re: [PR] docs: replace roadmap with project-status checklist [datafusion-java] via GitHub
• [PR] feat(dataframe): add select/filter/count/show methods [datafusion-java] via GitHub
  • Re: [PR] feat(dataframe): add select/filter/count/show methods [datafusion-java] via GitHub
• [PR] [Experiment] Adaptive filter pushdown [datafusion] via GitHub
  • Re: [PR] [Experiment] Adaptive filter pushdown [datafusion] via GitHub
  • Re: [PR] [Experiment] Adaptive filter pushdown [datafusion] via GitHub

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