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• • Re: [PR] MSSQL: Add support for WAITFOR statement [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] MSSQL: Add support for WAITFOR statement [datafusion-sqlparser-rs] via GitHub
• [PR] fix: remove `scheduler_config_spec.toml` as its unused [datafusion-ballista] via GitHub
  • Re: [PR] fix: remove `scheduler_config_spec.toml` as its unused [datafusion-ballista] via GitHub
  • Re: [PR] fix: remove `scheduler_config_spec.toml` as it is unused [datafusion-ballista] via GitHub
• Re: [I] Memory use trait / methods / macros [datafusion] via GitHub
  • Re: [I] Memory use trait / methods / macros [datafusion] via GitHub
• [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has lower latency [datafusion-ballista] via GitHub
• Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
• Re: [PR] perf: Optimize concat()/concat_ws() UDFs [datafusion] via GitHub
  • Re: [PR] perf: Optimize concat()/concat_ws() UDFs [datafusion] via GitHub
  • Re: [PR] perf: Optimize concat()/concat_ws() UDFs [datafusion] via GitHub
  • Re: [PR] perf: Optimize concat()/concat_ws() UDFs [datafusion] via GitHub
  • Re: [PR] perf: Optimize concat()/concat_ws() UDFs [datafusion] via GitHub
  • Re: [PR] perf: Optimize concat()/concat_ws() UDFs [datafusion] via GitHub
  • Re: [PR] perf: Optimize concat()/concat_ws() UDFs [datafusion] via GitHub
  • Re: [PR] perf: Optimize concat()/concat_ws() UDFs [datafusion] via GitHub
  • Re: [PR] perf: Optimize concat()/concat_ws() UDFs [datafusion] via GitHub
  • Re: [PR] perf: Optimize concat()/concat_ws() UDFs [datafusion] via GitHub
• Re: [PR] perf: defer expensive string predicates from `RowFilter` when dynamic filter is present [datafusion] via GitHub
  • Re: [PR] perf: defer expensive string predicates from `RowFilter` when dynamic filter is present [datafusion] via GitHub
  • Re: [PR] perf: defer expensive string predicates from `RowFilter` when dynamic filter is present [datafusion] via GitHub
  • Re: [PR] perf: defer expensive string predicates from `RowFilter` when dynamic filter is present [datafusion] via GitHub
  • Re: [PR] perf: defer expensive string predicates from `RowFilter` when dynamic filter is present [datafusion] via GitHub
• Re: [PR] Add statistics integration tests [datafusion] via GitHub
  • Re: [PR] Add statistics integration tests [datafusion] via GitHub
  • Re: [PR] Add statistics integration tests [datafusion] via GitHub
  • Re: [PR] Add statistics integration tests [datafusion] via GitHub
• Re: [PR] Automatically generate examples documentation (#19294) [datafusion] via GitHub
  • Re: [PR] Automatically generate examples documentation (#19294) [datafusion] via GitHub
• Re: [I] User annotations in ExecutionPlan [datafusion] via GitHub
  • Re: [I] User annotations in ExecutionPlan [datafusion] via GitHub
• Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
• Re: [PR] feat: add support `crc32` expression [datafusion-comet] via GitHub
  • Re: [PR] feat: add support `crc32` expression [datafusion-comet] via GitHub
  • Re: [PR] feat: add support `crc32` expression [datafusion-comet] via GitHub
• [PR] feat: comet native scan improvements - Dynamic Partition Pruning [datafusion-comet] via GitHub
  • Re: [PR] feat: comet native scan improvements - Dynamic Partition Pruning [datafusion-comet] via GitHub
• [PR] test: Extend Spark Array functions: `array_repeat `, `shuffle` and `slice` test coverage [datafusion] via GitHub
  • Re: [PR] test: Extend Spark Array functions: `array_repeat `, `shuffle` and `slice` test coverage [datafusion] via GitHub
  • Re: [PR] test: Extend Spark Array functions: `array_repeat `, `shuffle` and `slice` test coverage [datafusion] via GitHub
  • Re: [PR] test: Extend Spark Array functions: `array_repeat `, `shuffle` and `slice` test coverage [datafusion] via GitHub
  • Re: [PR] test: Extend Spark Array functions: `array_repeat `, `shuffle` and `slice` test coverage [datafusion] via GitHub
  • Re: [PR] test: Extend Spark Array functions: `array_repeat `, `shuffle` and `slice` test coverage [datafusion] via GitHub
  • Re: [PR] test: Extend Spark Array functions: `array_repeat `, `shuffle` and `slice` test coverage [datafusion] via GitHub
  • Re: [PR] test: Extend Spark Array functions: `array_repeat `, `shuffle` and `slice` test coverage [datafusion] via GitHub
  • Re: [PR] test: Extend Spark Array functions: `array_repeat `, `shuffle` and `slice` test coverage [datafusion] via GitHub
  • Re: [PR] test: Extend Spark Array functions: `array_repeat `, `shuffle` and `slice` test coverage [datafusion] via GitHub
  • Re: [PR] test: Extend Spark Array functions: `array_repeat `, `shuffle` and `slice` test coverage [datafusion] via GitHub
  • Re: [PR] test: Extend Spark Array functions: `array_repeat `, `shuffle` and `slice` test coverage [datafusion] via GitHub
  • Re: [PR] test: Extend Spark Array functions: `array_repeat `, `shuffle` and `slice` test coverage [datafusion] via GitHub
• [I] Extend Spark Array functions: `array_repeat `, `shuffle` and `slice` test coverage [datafusion] via GitHub
  • Re: [I] Extend Spark Array functions: `array_repeat `, `shuffle` and `slice` test coverage [datafusion] via GitHub
  • Re: [I] Extend Spark Array functions: `array_repeat `, `shuffle` and `slice` test coverage [datafusion] via GitHub
• Re: [PR] feat: Support int to timestamp casts [datafusion-comet] via GitHub
  • Re: [PR] feat: Support int to timestamp casts [datafusion-comet] via GitHub
  • Re: [PR] feat: Support int to timestamp casts [datafusion-comet] via GitHub
  • Re: [PR] feat: Support int to timestamp casts [datafusion-comet] via GitHub
  • Re: [PR] feat: Support int to timestamp casts [datafusion-comet] via GitHub
  • Re: [PR] feat: Support int to timestamp casts [datafusion-comet] via GitHub
  • Re: [PR] feat: Support int to timestamp casts [datafusion-comet] via GitHub
  • Re: [PR] feat: Support int to timestamp casts [datafusion-comet] via GitHub
  • Re: [PR] feat: Support int to timestamp casts [datafusion-comet] via GitHub
  • Re: [PR] feat: Support int to timestamp casts [datafusion-comet] via GitHub
  • Re: [PR] feat: Support int to timestamp casts [datafusion-comet] via GitHub
  • Re: [PR] feat: Support int to timestamp casts [datafusion-comet] via GitHub
  • Re: [PR] feat: Support int to timestamp casts [datafusion-comet] via GitHub
  • Re: [PR] feat: Support int to timestamp casts [datafusion-comet] via GitHub
  • Re: [PR] feat: Support int to timestamp casts [datafusion-comet] via GitHub
• Re: [PR] chore: Add envvars to override writer configs and cometConf minor clean up [datafusion-comet] via GitHub
  • Re: [PR] chore: Add envvars to override writer configs and cometConf minor clean up [datafusion-comet] via GitHub
• Re: [PR] feat: Cast date to Numeric (No Op) [datafusion-comet] via GitHub
  • Re: [PR] feat: Cast date to Numeric (No Op) [datafusion-comet] via GitHub
• Re: [PR] Add Substrait roundtrip support for `RecursiveQuery` and recursive CTE scans [datafusion] via GitHub
• Re: [PR] feat: support named parameters for table functions [datafusion] via GitHub
• Re: [PR] Test upgrade to object store 0.13.0 [datafusion] via GitHub
  • Re: [PR] Test upgrade to object store 0.13.0 [datafusion] via GitHub
• Re: [PR] chore: Cast module refactor boolean module [datafusion-comet] via GitHub
  • Re: [PR] chore: Cast module refactor boolean module [datafusion-comet] via GitHub
  • Re: [PR] chore: Cast module refactor boolean module [datafusion-comet] via GitHub
  • Re: [PR] chore: Cast module refactor boolean module [datafusion-comet] via GitHub
  • Re: [PR] chore: Cast module refactor boolean module [datafusion-comet] via GitHub
  • Re: [PR] chore: Cast module refactor boolean module [datafusion-comet] via GitHub
  • Re: [PR] chore: Cast module refactor boolean module [datafusion-comet] via GitHub
  • Re: [PR] chore: Cast module refactor boolean module [datafusion-comet] via GitHub
  • Re: [PR] chore: Cast module refactor boolean module [datafusion-comet] via GitHub
  • Re: [PR] chore: Cast module refactor boolean module [datafusion-comet] via GitHub
  • Re: [PR] chore: Cast module refactor boolean module [datafusion-comet] via GitHub
• Re: [I] Implement physical execution of uncorrelated scalar subqueries [datafusion] via GitHub
• Re: [PR] Migrate Python usage to uv workspace [datafusion] via GitHub
  • Re: [PR] Migrate Python usage to uv workspace [datafusion] via GitHub
  • Re: [PR] Migrate Python usage to uv workspace [datafusion] via GitHub
  • Re: [PR] Migrate Python usage to uv workspace [datafusion] via GitHub
  • Re: [PR] Migrate Python usage to uv workspace [datafusion] via GitHub
  • Re: [PR] Migrate Python usage to uv workspace [datafusion] via GitHub
  • Re: [PR] Migrate Python usage to uv workspace [datafusion] via GitHub
  • Re: [PR] Migrate Python usage to uv workspace [datafusion] via GitHub
• Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
  • Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
  • Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
  • Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
  • Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
  • Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
  • Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
  • Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
  • Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
  • Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
  • Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
  • Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
  • Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
  • Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
  • Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
  • Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
  • Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
  • Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
  • Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
  • Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
  • Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
• Re: [PR] chore: CometConf change default batch size values [datafusion-comet] via GitHub
  • Re: [PR] chore: CometConf change default batch size values [datafusion-comet] via GitHub
  • Re: [PR] chore: CometConf change default batch size values [datafusion-comet] via GitHub
  • Re: [PR] chore: CometConf change default batch size values [datafusion-comet] via GitHub
  • [PR] chore: CometConf change default batch size values [datafusion-comet] via GitHub
  • Re: [PR] chore: CometConf change default batch size values [datafusion-comet] via GitHub
• [I] Serialize dynamic filters across network boundaries [datafusion] via GitHub
  • Re: [I] Serialize dynamic filters across network boundaries [datafusion] via GitHub
• Re: [PR] fix: Support concat_ws with literal NULL separator [datafusion-comet] via GitHub
  • Re: [PR] fix: Support concat_ws with literal NULL separator [datafusion-comet] via GitHub
  • Re: [PR] fix: Support concat_ws with literal NULL separator [datafusion-comet] via GitHub
  • Re: [PR] fix: Support concat_ws with literal NULL separator [datafusion-comet] via GitHub
  • Re: [PR] fix: Support concat_ws with literal NULL separator [datafusion-comet] via GitHub
  • Re: [PR] fix: Support concat_ws with literal NULL separator [datafusion-comet] via GitHub
  • Re: [PR] fix: Support concat_ws with literal NULL separator [datafusion-comet] via GitHub

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