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• • Re: [PR] Assert exact errors in negative tests (2/4): common and parser unit tests [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Assert exact errors in negative tests (2/4): common and parser unit tests [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Assert exact errors in negative tests (2/4): common and parser unit tests [datafusion-sqlparser-rs] via GitHub
• [PR] fix: push filters above a pure extraction projection into the scan below it [datafusion] via GitHub
  • Re: [PR] fix: push filters above a pure extraction projection into the scan below it [datafusion] via GitHub
• [I] Store offsets as lengths in shuffle blocks to shrink shuffle files [datafusion-comet] via GitHub
• Re: [PR] refactor(core): drain and size the sort-shuffle buffer through BufferedBatches [datafusion-ballista] via GitHub
  • Re: [PR] refactor(core): drain and size the sort-shuffle buffer through BufferedBatches [datafusion-ballista] via GitHub
  • Re: [PR] refactor(core): drain and size the sort-shuffle buffer through BufferedBatches [datafusion-ballista] via GitHub
  • Re: [PR] refactor(core): drain and size the sort-shuffle buffer through BufferedBatches [datafusion-ballista] via GitHub
  • Re: [PR] refactor(core): drain and size the sort-shuffle buffer through BufferedBatches [datafusion-ballista] via GitHub
  • Re: [PR] refactor(core): drain and size the sort-shuffle buffer through BufferedBatches [datafusion-ballista] via GitHub
• [PR] Assert exact errors in negative tests (4/4): deny clippy::assertions_on_result_states [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Assert exact errors in negative tests (4/4): deny clippy::assertions_on_result_states [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Assert exact errors in negative tests (4/4): deny clippy::assertions_on_result_states [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Assert exact errors in negative tests (4/4): deny clippy::assertions_on_result_states [datafusion-sqlparser-rs] via GitHub
• [PR] Assert exact errors in negative tests (3/4): dialect tests [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Assert exact errors in negative tests (3/4): dialect tests [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Assert exact errors in negative tests (3/4): dialect tests [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Assert exact errors in negative tests (3/4): dialect tests [datafusion-sqlparser-rs] via GitHub
• [PR] Assert exact errors in negative tests (1/4): PostgreSQL tests [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Assert exact errors in negative tests (1/4): PostgreSQL tests [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Assert exact errors in negative tests (1/4): PostgreSQL tests [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Assert exact errors in negative tests (1/4): PostgreSQL tests [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Assert exact errors in negative tests (1/4): PostgreSQL tests [datafusion-sqlparser-rs] via GitHub
• Re: [PR] perf: read cache statistics null counts from Comet's Arrow vectors [datafusion-comet] via GitHub
  • Re: [PR] perf: read cache statistics null counts from Comet's Arrow vectors [datafusion-comet] via GitHub
  • Re: [PR] perf: read cache statistics null counts from Comet's Arrow vectors [datafusion-comet] via GitHub
  • Re: [PR] perf: read cache statistics null counts from Comet's Arrow vectors [datafusion-comet] via GitHub
  • Re: [PR] perf: read cache statistics null counts from Comet's Arrow vectors [datafusion-comet] via GitHub
• [PR] feat: add support for comet cartesian join [datafusion-comet] via GitHub
  • Re: [PR] feat: add support for comet cartesian join [datafusion-comet] via GitHub
  • Re: [PR] feat: add support for comet cartesian join [datafusion-comet] via GitHub
• [I] Wrong results: with `pushdown_filters = true`, a filter on a volatile subquery column is evaluated again in the Parquet scan [datafusion] via GitHub
  • Re: [I] Wrong results: with `pushdown_filters = true`, a filter on a volatile subquery column is evaluated again in the Parquet scan [datafusion] via GitHub
  • Re: [I] Wrong results: with `pushdown_filters = true`, a filter on a volatile subquery column is evaluated again in the Parquet scan [datafusion] via GitHub
  • Re: [I] Wrong results: with `pushdown_filters = true`, a filter on a volatile subquery column is evaluated again in the Parquet scan [datafusion] via GitHub
• Re: [PR] Document and enforce compatibility between an aggregate's accumulators [datafusion] via GitHub
  • Re: [PR] Document and enforce compatibility between an aggregate's accumulators [datafusion] via GitHub
• Re: [PR] fix: read fs.comet.libhdfs.schemes for the scan rule from the Hadoop conf [datafusion-comet] via GitHub
  • Re: [PR] fix: read fs.comet.libhdfs.schemes for the scan rule from the Hadoop conf [datafusion-comet] via GitHub
  • Re: [PR] fix: read fs.comet.libhdfs.schemes for the scan rule from the Hadoop conf [datafusion-comet] via GitHub
  • Re: [PR] fix: read fs.comet.libhdfs.schemes for the scan rule from the Hadoop conf [datafusion-comet] via GitHub
  • Re: [PR] fix: read fs.comet.libhdfs.schemes for the scan rule from the Hadoop conf [datafusion-comet] via GitHub
  • Re: [PR] fix: read fs.comet.libhdfs.schemes for the scan rule from the Hadoop conf [datafusion-comet] via GitHub
  • Re: [PR] fix: read fs.comet.libhdfs.schemes for the scan rule from the Hadoop conf [datafusion-comet] via GitHub
  • Re: [PR] fix: read fs.comet.libhdfs.schemes for the scan rule from the Hadoop conf [datafusion-comet] via GitHub
• [PR] feat: decide automatically when to materialize a CTE [datafusion] via GitHub
  • Re: [PR] feat: decide automatically when to materialize a CTE [datafusion] via GitHub
  • Re: [PR] feat: decide automatically when to materialize a CTE [datafusion] via GitHub
• Re: [PR] feat: enable native Iceberg writes by default [datafusion-comet] via GitHub
  • Re: [PR] feat: enable native Iceberg writes by default [datafusion-comet] via GitHub
  • Re: [PR] feat: enable native Iceberg writes by default [datafusion-comet] via GitHub
• Re: [PR] fix(executor): drain Flight before shutdown cleanup [datafusion-ballista] via GitHub
  • Re: [PR] fix(executor): drain Flight before shutdown cleanup [datafusion-ballista] via GitHub
  • Re: [PR] fix(executor): drain Flight before shutdown cleanup [datafusion-ballista] via GitHub
  • Re: [PR] fix(executor): drain Flight before shutdown cleanup [datafusion-ballista] via GitHub
  • Re: [PR] fix(executor): drain Flight before shutdown cleanup [datafusion-ballista] via GitHub
  • Re: [PR] fix(executor): drain Flight before shutdown cleanup [datafusion-ballista] via GitHub
  • Re: [PR] fix(executor): drain Flight before shutdown cleanup [datafusion-ballista] via GitHub
  • Re: [PR] fix(executor): drain Flight before shutdown cleanup [datafusion-ballista] via GitHub
  • Re: [PR] fix(executor): drain Flight before shutdown cleanup [datafusion-ballista] via GitHub
  • Re: [PR] fix(executor): drain Flight before shutdown cleanup [datafusion-ballista] via GitHub
• [PR] feat: support the S3A magic committer in native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: support the S3A magic committer in native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: support the S3A magic committer in native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: support the S3A magic committer in native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: support the S3A magic committer in native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: support the S3A magic committer in native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: support the S3A magic committer in native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: support the S3A magic committer in native Parquet writes [datafusion-comet] via GitHub
• Re: [PR] feat(scheduler): add a cache registry for DataFrame.cache() [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): add a cache registry for DataFrame.cache() [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): add a cache registry for DataFrame.cache() [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): add a cache registry for DataFrame.cache() [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): add a cache registry for DataFrame.cache() [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): add a cache registry for DataFrame.cache() [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): add a cache registry for DataFrame.cache() [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): add a cache registry for DataFrame.cache() [datafusion-ballista] via GitHub
• [PR] Sequence invocation ceiling [datafusion-comet] via GitHub
• Re: [PR] ocs: Add det to Known Users [datafusion] via GitHub
  • Re: [PR] ocs: Add det to Known Users [datafusion] via GitHub
  • Re: [PR] ocs: Add det to Known Users [datafusion] via GitHub
• Re: [PR] feat: run min and max over string and binary columns natively [datafusion-comet] via GitHub
  • Re: [PR] feat: run min and max over string and binary columns natively [datafusion-comet] via GitHub
  • Re: [PR] feat: run min and max over string and binary columns natively [datafusion-comet] via GitHub
  • Re: [PR] feat: run min and max over string and binary columns natively [datafusion-comet] via GitHub
  • Re: [PR] feat: run min and max over string and binary columns natively [datafusion-comet] via GitHub
• [PR] feat: push filters that all references share into the body of a materialized CTE [datafusion] via GitHub
  • Re: [PR] feat: push filters that all references share into the body of a materialized CTE [datafusion] via GitHub
  • Re: [PR] feat: push filters that all references share into the body of a materialized CTE [datafusion] via GitHub
• [PR] feat: protobuf serialization for the materialized CTE plan nodes [datafusion] via GitHub
  • Re: [PR] feat: protobuf serialization for the materialized CTE plan nodes [datafusion] via GitHub
  • Re: [PR] feat: protobuf serialization for the materialized CTE plan nodes [datafusion] via GitHub
• Re: [PR] fix: preserve columnar output when reverting a cached AQE result stage [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve columnar output when reverting a cached AQE result stage [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve columnar output when reverting a cached AQE result stage [datafusion-comet] via GitHub
• Re: [PR] Fix retained-capacity accounting for grouped byte MIN/MAX [datafusion] via GitHub
  • Re: [PR] Fix retained-capacity accounting for grouped byte MIN/MAX [datafusion] via GitHub
  • Re: [PR] Fix retained-capacity accounting for grouped byte MIN/MAX [datafusion] via GitHub
  • Re: [PR] Fix retained-capacity accounting for grouped byte MIN/MAX [datafusion] via GitHub
  • Re: [PR] Fix retained-capacity accounting for grouped byte MIN/MAX [datafusion] via GitHub
  • Re: [PR] Fix retained-capacity accounting for grouped byte MIN/MAX [datafusion] via GitHub
  • Re: [PR] Fix retained-capacity accounting for grouped byte MIN/MAX [datafusion] via GitHub
  • Re: [PR] Fix retained-capacity accounting for grouped byte MIN/MAX [datafusion] via GitHub
  • Re: [PR] Fix retained-capacity accounting for grouped byte MIN/MAX [datafusion] via GitHub
  • Re: [PR] Fix retained-capacity accounting for grouped byte MIN/MAX [datafusion] via GitHub
• [PR] feat: release the output of a materialized CTE when the last scan finishes [datafusion] via GitHub
  • Re: [PR] feat: release the output of a materialized CTE when the last scan finishes [datafusion] via GitHub
  • Re: [PR] feat: release the output of a materialized CTE when the last scan finishes [datafusion] via GitHub
  • Re: [PR] feat: release the output of a materialized CTE when the last scan finishes [datafusion] via GitHub
• [PR] fix: keep the output of a materialized CTE per run, not in the plan [datafusion] via GitHub
  • Re: [PR] fix: keep the output of a materialized CTE per run, not in the plan [datafusion] via GitHub
• Re: [I] [DISCUSSION] Is DataFusion's implementation growing too complicated? Are AI assisted PRs to blame? [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Is DataFusion's implementation growing too complicated? Are AI assisted PRs to blame? [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Is DataFusion's implementation growing too complicated? Are AI assisted PRs to blame? [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Is DataFusion's implementation growing too complicated? Are AI assisted PRs to blame? [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Is DataFusion's implementation growing too complicated? Are AI assisted PRs to blame? [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Is DataFusion's implementation growing too complicated? Are AI assisted PRs to blame? [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Is DataFusion's implementation growing too complicated? Are AI assisted PRs to blame? [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Is DataFusion's implementation growing too complicated? Are AI assisted PRs to blame? [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Is DataFusion's implementation growing too complicated? Are AI assisted PRs to blame? [datafusion] via GitHub
• Re: [I] Native string and binary `min`/`max` under-report memory in hash aggregates [datafusion-comet] via GitHub
• Re: [PR] feat: run joins of type Cross natively [datafusion-comet] via GitHub
• [PR] perf: append sort-merge join output pairs in bulk [datafusion] via GitHub
  • Re: [PR] perf: append sort-merge join output pairs in bulk [datafusion] via GitHub
  • Re: [PR] perf: append sort-merge join output pairs in bulk [datafusion] via GitHub
  • Re: [PR] perf: append sort-merge join output pairs in bulk [datafusion] via GitHub
  • Re: [PR] perf: append sort-merge join output pairs in bulk [datafusion] via GitHub
  • Re: [PR] perf: append sort-merge join output pairs in bulk [datafusion] via GitHub
  • Re: [PR] perf: append sort-merge join output pairs in bulk [datafusion] via GitHub
  • Re: [PR] perf: append sort-merge join output pairs in bulk [datafusion] via GitHub
  • Re: [PR] perf: append sort-merge join output pairs in bulk [datafusion] via GitHub
  • Re: [PR] perf: append sort-merge join output pairs in bulk [datafusion] via GitHub
• Re: [I] Make AggregationFuzzer reproducible [datafusion] via GitHub
  • Re: [I] Make AggregationFuzzer reproducible [datafusion] via GitHub
• Re: [PR] fix: deduplicate StringView/BinaryView buffer refs in CollectLeft Has... [datafusion] via GitHub
  • Re: [PR] fix: deduplicate StringView/BinaryView buffer refs in CollectLeft Has... [datafusion] via GitHub
  • Re: [PR] fix: deduplicate StringView/BinaryView buffer refs in CollectLeft Has... [datafusion] via GitHub
  • Re: [PR] fix: deduplicate StringView/BinaryView buffer refs in CollectLeft Has... [datafusion] via GitHub
  • Re: [PR] fix: deduplicate StringView/BinaryView buffer refs in CollectLeft Has... [datafusion] via GitHub
  • Re: [PR] fix: deduplicate StringView/BinaryView buffer refs in CollectLeft Has... [datafusion] via GitHub
  • Re: [PR] fix: deduplicate StringView/BinaryView buffer refs in CollectLeft Has... [datafusion] via GitHub
  • Re: [PR] fix: deduplicate StringView/BinaryView buffer refs in CollectLeft Has... [datafusion] via GitHub
  • Re: [PR] fix: deduplicate StringView/BinaryView buffer refs in CollectLeft Has... [datafusion] via GitHub
  • Re: [PR] fix: deduplicate StringView/BinaryView buffer refs in CollectLeft Has... [datafusion] via GitHub
  • Re: [PR] fix: deduplicate StringView/BinaryView buffer refs in CollectLeft Has... [datafusion] via GitHub
  • Re: [PR] fix: deduplicate StringView/BinaryView buffer refs in CollectLeft Has... [datafusion] via GitHub
  • Re: [PR] fix: deduplicate StringView/BinaryView buffer refs in CollectLeft Has... [datafusion] via GitHub
  • Re: [PR] fix: deduplicate StringView/BinaryView buffer refs in CollectLeft Has... [datafusion] via GitHub
  • Re: [PR] fix: deduplicate StringView/BinaryView buffer refs in CollectLeft Has... [datafusion] via GitHub
  • Re: [PR] fix: deduplicate StringView/BinaryView buffer refs in CollectLeft Has... [datafusion] via GitHub
  • Re: [PR] fix: deduplicate StringView/BinaryView buffer refs in CollectLeft Has... [datafusion] via GitHub
  • Re: [PR] fix: deduplicate StringView/BinaryView buffer refs in CollectLeft Has... [datafusion] via GitHub
  • Re: [PR] fix: deduplicate StringView/BinaryView buffer refs in CollectLeft Has... [datafusion] via GitHub
  • Re: [PR] fix: deduplicate StringView/BinaryView buffer refs in CollectLeft Has... [datafusion] via GitHub
• Re: [PR] feat: support PivotFirst aggregate for the optimized PIVOT fast path [datafusion-comet] via GitHub
  • Re: [PR] feat: support PivotFirst aggregate for the optimized PIVOT fast path [datafusion-comet] via GitHub
  • Re: [PR] feat: support PivotFirst aggregate for the optimized PIVOT fast path [datafusion-comet] via GitHub
  • Re: [PR] feat: support PivotFirst aggregate for the optimized PIVOT fast path [datafusion-comet] via GitHub
  • Re: [PR] feat: support PivotFirst aggregate for the optimized PIVOT fast path [datafusion-comet] via GitHub
  • Re: [PR] feat: support PivotFirst aggregate for the optimized PIVOT fast path [datafusion-comet] via GitHub
  • Re: [PR] feat: support PivotFirst aggregate for the optimized PIVOT fast path [datafusion-comet] via GitHub
• [PR] feat: make the materialized CTE nodes first-class LogicalPlan variants [datafusion] via GitHub
  • Re: [PR] feat: make the materialized CTE nodes first-class LogicalPlan variants [datafusion] via GitHub
  • Re: [PR] feat: make the materialized CTE nodes first-class LogicalPlan variants [datafusion] via GitHub
• [PR] feat: prune unused columns from the body of a materialized CTE [datafusion] via GitHub
  • Re: [PR] feat: prune unused columns from the body of a materialized CTE [datafusion] via GitHub
  • Re: [PR] feat: prune unused columns from the body of a materialized CTE [datafusion] via GitHub
• [PR] feat: report statistics, ordering and partitioning of materialized CTE scans [datafusion] via GitHub
  • Re: [PR] feat: report statistics, ordering and partitioning of materialized CTE scans [datafusion] via GitHub
  • Re: [PR] feat: report statistics, ordering and partitioning of materialized CTE scans [datafusion] via GitHub
  • Re: [PR] feat: report statistics of materialized CTE scans [datafusion] via GitHub
• Re: [PR] feat(perf): compute routing and lookup hashes once [datafusion] via GitHub
  • Re: [PR] feat(perf): compute routing and lookup hashes once [datafusion] via GitHub
  • Re: [PR] feat(perf): compute routing and lookup hashes once [datafusion] via GitHub
  • Re: [PR] feat(perf): compute routing and lookup hashes once [datafusion] via GitHub
  • Re: [PR] feat(perf): compute routing and lookup hashes once [datafusion] via GitHub
  • Re: [PR] feat(perf): compute routing and lookup hashes once [datafusion] via GitHub
  • Re: [PR] feat(perf): compute routing and lookup hashes once [datafusion] via GitHub
  • Re: [PR] feat(perf): compute routing and lookup hashes once [datafusion] via GitHub
  • Re: [PR] feat(perf): compute routing and lookup hashes once [datafusion] via GitHub
  • Re: [PR] feat(perf): compute routing and lookup hashes once [datafusion] via GitHub
  • Re: [PR] feat(perf): compute routing and lookup hashes once [datafusion] via GitHub
• [PR] ignore me [datafusion] via GitHub
  • Re: [PR] ignore me [datafusion] via GitHub
  • Re: [PR] ignore me [datafusion] via GitHub
  • Re: [PR] ignore me [datafusion] via GitHub
  • Re: [PR] ignore me [datafusion] via GitHub
  • Re: [PR] ignore me [datafusion] via GitHub
  • Re: [PR] ignore me [datafusion] via GitHub
  • Re: [PR] ignore me [datafusion] via GitHub
  • Re: [PR] ignore me [datafusion] via GitHub
  • Re: [PR] ignore me [datafusion] via GitHub
  • Re: [PR] ignore me [datafusion] via GitHub
  • Re: [PR] ignore me [datafusion] via GitHub
  • Re: [PR] ignore me [datafusion] via GitHub
  • Re: [PR] ignore me [datafusion] via GitHub
  • Re: [PR] ignore me [datafusion] via GitHub
  • Re: [PR] ignore me [datafusion] via GitHub

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