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• [I] [DISCUSSION] 2026 Q4 Roadmap [datafusion] via GitHub
  • Re: [I] [DISCUSSION] 2026 Q4 Roadmap [datafusion] via GitHub
  • Re: [I] [DISCUSSION] 2026 Q4 Roadmap [datafusion] via GitHub
  • Re: [I] [DISCUSSION] 2026 Q4 Roadmap [datafusion] via GitHub
  • Re: [I] [DISCUSSION] 2026 Q4 Roadmap [datafusion] via GitHub
  • Re: [I] [DISCUSSION] 2026 Q4 Roadmap [datafusion] via GitHub
  • Re: [I] [DISCUSSION] 2026 Q4 Roadmap [datafusion] via GitHub
  • Re: [I] [DISCUSSION] 2026 Q4 Roadmap [datafusion] via GitHub
  • Re: [I] [DISCUSSION] 2026 Q4 Roadmap [datafusion] via GitHub
  • Re: [I] [DISCUSSION] 2026 Q4 Roadmap [datafusion] via GitHub
  • Re: [I] [DISCUSSION] 2026 Q4 Roadmap [datafusion] via GitHub
  • Re: [I] [DISCUSSION] 2026 Q4 Roadmap [datafusion] via GitHub
• Re: [PR] refactor: share the REPLACE and validation steps of the wildcard arms in project_with_validation [datafusion] via GitHub
  • Re: [PR] refactor: share the REPLACE and validation steps of the wildcard arms in project_with_validation [datafusion] via GitHub
  • Re: [PR] refactor: share the REPLACE and validation steps of the wildcard arms in project_with_validation [datafusion] via GitHub
  • Re: [PR] refactor: share the REPLACE and validation steps of the wildcard arms in project_with_validation [datafusion] via GitHub
  • Re: [PR] refactor: share the REPLACE and validation steps of the wildcard arms in project_with_validation [datafusion] via GitHub
  • Re: [PR] refactor: share the REPLACE and validation steps of the wildcard arms in project_with_validation [datafusion] via GitHub
  • Re: [PR] refactor: share the REPLACE and validation steps of the wildcard arms in project_with_validation [datafusion] via GitHub
• [I] [EPIC] Improve I/O patterns for Parquet scans [datafusion] via GitHub
  • Re: [I] [EPIC] Improve I/O patterns for Parquet scans [datafusion] via GitHub
  • Re: [I] [EPIC] Improve I/O patterns for Parquet scans [datafusion] via GitHub
  • Re: [I] [EPIC] Improve I/O patterns for Parquet scans [datafusion] via GitHub
  • Re: [I] [EPIC] Improve I/O patterns for Parquet scans [datafusion] via GitHub
  • Re: [I] [EPIC] Improve I/O patterns for Parquet scans [datafusion] via GitHub
  • Re: [I] [EPIC] Improve I/O patterns for Parquet scans [datafusion] via GitHub
  • Re: [I] [EPIC] Improve I/O patterns for Parquet scans [datafusion] via GitHub
• [PR] fix: return errors instead of panicking on malformed JNI arguments [datafusion-comet] via GitHub
  • Re: [PR] fix: return errors instead of panicking on malformed JNI arguments [datafusion-comet] via GitHub
  • Re: [PR] fix: return errors instead of panicking on malformed JNI arguments [datafusion-comet] via GitHub
• [PR] refactor: raise native UDF validation failures as typed exceptions [datafusion-comet] via GitHub
  • Re: [PR] refactor: raise native UDF validation failures as typed exceptions [datafusion-comet] via GitHub
  • Re: [PR] refactor: raise native UDF validation failures as typed exceptions [datafusion-comet] via GitHub
• [I] Raise native UDF validation failures as typed exceptions instead of matching message text [datafusion-comet] via GitHub
  • Re: [I] Raise native UDF validation failures as typed exceptions instead of matching message text [datafusion-comet] via GitHub
• [I] Malformed JNI arguments panic instead of returning an error [datafusion-comet] via GitHub
  • Re: [I] Malformed JNI arguments panic instead of returning an error [datafusion-comet] via GitHub
• [PR] chore(csv): use shared aggr_test_schema in CSV scan tests [datafusion] via GitHub
  • Re: [PR] chore(csv): use shared aggr_test_schema in CSV scan tests [datafusion] via GitHub
• Re: [I] Build multi-column null-aware NOT IN on the subquery side (multi-key null-aware RightAnti) [datafusion] via GitHub
• Re: [PR] fix: preserve narrowing TRY_CAST comparison semantics [datafusion] via GitHub
  • Re: [PR] fix: preserve narrowing TRY_CAST comparison semantics [datafusion] via GitHub
• Re: [PR] feat(iceberg): native Iceberg scans of HDFS-backed tables via iceberg-rust's hdfs-native backend [datafusion-comet] via GitHub
  • Re: [PR] feat(iceberg): native Iceberg scans of HDFS-backed tables via iceberg-rust's hdfs-native backend [datafusion-comet] via GitHub
  • Re: [PR] feat(iceberg): native Iceberg scans of HDFS-backed tables via iceberg-rust's hdfs-native backend [datafusion-comet] via GitHub
  • Re: [PR] feat(iceberg): native Iceberg scans of HDFS-backed tables via iceberg-rust's hdfs-native backend [datafusion-comet] via GitHub
  • Re: [PR] feat(iceberg): native Iceberg scans of HDFS-backed tables via iceberg-rust's hdfs-native backend [datafusion-comet] via GitHub
• Re: [PR] IN LIST: treat signed zeros as equal [datafusion] via GitHub
• Re: [I] Failure-injection tests for native Iceberg writes [datafusion-comet] via GitHub
• [PR] feat(substrait): consume default JOIN and UNION inputs concurrently [datafusion] via GitHub
• [PR] feat(substrait): add a hook for consuming relation inputs [datafusion] via GitHub
  • Re: [PR] feat(substrait): add a hook for consuming relation inputs [datafusion] via GitHub
• Re: [I] date_part returning wrong results due to overflows [datafusion] via GitHub
• [I] `EXTRACT(NANOSECOND)` on `Duration` and `Interval` counts whole seconds twice [datafusion] via GitHub
  • Re: [I] `EXTRACT(NANOSECOND)` on `Duration` and `Interval` counts whole seconds twice [datafusion] via GitHub
• [PR] reject correlated IN/NOT IN over a groupless aggregate [datafusion] via GitHub
  • Re: [PR] fix: reject correlated IN/NOT IN over a groupless aggregate [datafusion] via GitHub
  • Re: [PR] fix: reject correlated IN/NOT IN over a groupless aggregate [datafusion] via GitHub
  • Re: [PR] fix: reject correlated IN/NOT IN over a groupless aggregate [datafusion] via GitHub
  • Re: [PR] fix: reject correlated IN/NOT IN over a groupless aggregate [datafusion] via GitHub
  • Re: [PR] fix: reject correlated IN/NOT IN over a groupless aggregate [datafusion] via GitHub
  • Re: [PR] fix: reject correlated IN/NOT IN over a groupless aggregate [datafusion] via GitHub
  • Re: [PR] fix: reject correlated IN/NOT IN over a groupless aggregate [datafusion] via GitHub
  • Re: [PR] fix: reject correlated IN/NOT IN over a groupless aggregate [datafusion] via GitHub
• [PR] refactor(scheduler): split QueryStageScheduler::on_receive into per-event handlers [datafusion-ballista] via GitHub
• Re: [PR] feat(dataframe): add column to a dataframe (#25298) [datafusion] via GitHub
  • Re: [PR] feat(dataframe): add column to a dataframe (#25298) [datafusion] via GitHub
  • Re: [PR] feat(dataframe): add column to a dataframe (#25298) [datafusion] via GitHub
  • Re: [PR] feat(dataframe): add column to a dataframe (#25298) [datafusion] via GitHub
• Re: [I] [Epic] High cardinality aggregation performance wishlist [datafusion] via GitHub
  • Re: [I] [Epic] High cardinality aggregation performance wishlist [datafusion] via GitHub
• Re: [I] fair_unified's per-consumer limit does not bind when tasks run concurrently, so one consumer can starve another [datafusion-comet] via GitHub
• Re: [I] Make fair_unified account for spillable consumers [datafusion-comet] via GitHub
• [PR] feat: Surface native scalar Arrow UDF errors as Spark's PythonException [datafusion-comet] via GitHub
  • Re: [PR] feat: Surface native scalar Arrow UDF errors as Spark's PythonException [datafusion-comet] via GitHub
  • Re: [PR] feat: Surface native scalar Arrow UDF errors as Spark's PythonException [datafusion-comet] via GitHub
• Re: [I] SanityCheckPlan error when ordering by a literal column from the probe side of a hash join [datafusion] via GitHub
• [PR] fix: keep fractional seconds in EXTRACT(EPOCH) for Duration [datafusion] via GitHub
  • Re: [PR] fix: keep fractional seconds in EXTRACT(EPOCH) for Duration [datafusion] via GitHub
  • Re: [PR] fix: keep fractional seconds in EXTRACT(EPOCH) for Duration [datafusion] via GitHub
  • Re: [PR] fix: keep fractional seconds in EXTRACT(EPOCH) for Duration [datafusion] via GitHub
  • Re: [PR] fix: keep fractional seconds in EXTRACT(EPOCH) for Duration [datafusion] via GitHub
  • Re: [PR] fix: keep fractional seconds in EXTRACT(EPOCH) for Duration [datafusion] via GitHub
  • Re: [PR] fix: keep fractional seconds in EXTRACT(EPOCH) for Duration [datafusion] via GitHub
  • Re: [PR] fix: keep fractional seconds in EXTRACT(EPOCH) for Duration [datafusion] via GitHub
  • Re: [PR] fix: keep fractional seconds in EXTRACT(EPOCH) for Duration [datafusion] via GitHub
  • Re: [PR] fix: keep fractional seconds in EXTRACT(EPOCH) for Duration [datafusion] via GitHub
  • Re: [PR] fix: keep fractional seconds in EXTRACT(EPOCH) for Duration [datafusion] via GitHub
  • Re: [PR] fix: keep fractional seconds in EXTRACT(EPOCH) for Duration [datafusion] via GitHub
  • Re: [PR] fix: keep fractional seconds in EXTRACT(EPOCH) for Duration [datafusion] via GitHub
  • Re: [PR] fix: keep fractional seconds in EXTRACT(EPOCH) for Duration [datafusion] via GitHub
  • Re: [PR] fix: keep fractional seconds in EXTRACT(EPOCH) for Duration [datafusion] via GitHub
  • Re: [PR] fix: keep fractional seconds in EXTRACT(EPOCH) for Duration [datafusion] via GitHub
  • Re: [PR] fix: keep fractional seconds in EXTRACT(EPOCH) for Duration [datafusion] via GitHub
• Re: [PR] feat: support native Variant columnar-to-row conversion [datafusion-comet] via GitHub
  • Re: [PR] feat: support native Variant columnar-to-row conversion [datafusion-comet] via GitHub
• Re: [PR] SQLite: Accept fallback keywords as implicit column aliases [datafusion-sqlparser-rs] via GitHub
• [PR] fix: preserve can_repartition in WindowAggExec::replace_children (#26626) [datafusion] via GitHub
• Re: [I] Support `date_bin` on timestamps with timezone, properly accounting for Daylight Savings Time [datafusion] via GitHub
• [PR] feat: interrupt a native scalar Arrow UDF when its task is killed [datafusion-comet] via GitHub
  • Re: [PR] feat: interrupt a native scalar Arrow UDF when its task is killed [datafusion-comet] via GitHub
  • Re: [PR] feat: interrupt a native scalar Arrow UDF when its task is killed [datafusion-comet] via GitHub
  • Re: [PR] feat: interrupt a native scalar Arrow UDF when its task is killed [datafusion-comet] via GitHub
  • Re: [PR] feat: interrupt a native scalar Arrow UDF when its task is killed [datafusion-comet] via GitHub
  • Re: [PR] feat: interrupt a native scalar Arrow UDF when its task is killed [datafusion-comet] via GitHub
  • Re: [PR] feat: interrupt a native scalar Arrow UDF when its task is killed [datafusion-comet] via GitHub
  • Re: [PR] feat: interrupt a native scalar Arrow UDF when its task is killed [datafusion-comet] via GitHub
• Re: [PR] test: move the float semantics sweep to SQL file tests [datafusion-comet] via GitHub
• [I] Keep native Arrow UDFs on Spark's path when the embedded Python version differs [datafusion-comet] via GitHub
  • Re: [I] Keep native Arrow UDFs on Spark's path when the embedded Python version differs [datafusion-comet] via GitHub
• Re: [PR] fix: emit completed groups when a fully sorted partial aggregate runs out of memory [datafusion] via GitHub
• Re: [PR] fix: match Spark nullness for missing nested Parquet fields [datafusion-comet] via GitHub
  • Re: [PR] fix: match Spark nullness for missing nested Parquet fields [datafusion-comet] via GitHub
• [PR] fix: saturate LimitPushPastWindows and ROWS frame bounds for huge FOLLOWING [datafusion] via GitHub
  • Re: [PR] fix: saturate LimitPushPastWindows and ROWS frame bounds for huge FOLLOWING [datafusion] via GitHub
  • Re: [PR] fix: saturate LimitPushPastWindows and ROWS frame bounds for huge FOLLOWING [datafusion] via GitHub
  • Re: [PR] fix: saturate LimitPushPastWindows and ROWS frame bounds for huge FOLLOWING [datafusion] via GitHub
  • Re: [PR] fix: saturate LimitPushPastWindows and ROWS frame bounds for huge FOLLOWING [datafusion] via GitHub
• [I] `EXTRACT EPOCH` inconsistently extracts fractional seconds [datafusion] via GitHub
  • Re: [I] `EXTRACT EPOCH` inconsistently extracts fractional seconds [datafusion] via GitHub
  • Re: [I] `EXTRACT EPOCH` inconsistently extracts fractional seconds [datafusion] via GitHub
  • Re: [I] `EXTRACT EPOCH` inconsistently extracts fractional seconds [datafusion] via GitHub
  • Re: [I] `EXTRACT EPOCH` inconsistently extracts fractional seconds [datafusion] via GitHub
  • Re: [I] `EXTRACT EPOCH` inconsistently extracts fractional seconds [datafusion] via GitHub
  • Re: [I] `EXTRACT EPOCH` inconsistently extracts fractional seconds [datafusion] via GitHub
• [PR] perf: overlap the deletion vector and footer reads in Delta scan preparation [datafusion-comet] via GitHub
• Re: [I] `UnwrapCastInComparison` produces incorrect results [datafusion] via GitHub
  • Re: [I] `UnwrapCastInComparison` produces incorrect results [datafusion] via GitHub
• [I] [EPIC] A Collection of Wrong Results Bugs - Q4 2026 [datafusion] via GitHub
  • Re: [I] [EPIC] A Collection of Wrong Results Bugs - Q4 2026 [datafusion] via GitHub
  • Re: [I] [EPIC] A Collection of Wrong Results Bugs - Q4 2026 [datafusion] via GitHub
  • Re: [I] [EPIC] A Collection of Wrong Results Bugs - Q4 2026 [datafusion] via GitHub
  • Re: [I] [EPIC] A Collection of Wrong Results Bugs - Q4 2026 [datafusion] via GitHub
  • Re: [I] [EPIC] A Collection of Wrong Results Bugs - Q4 2026 [datafusion] via GitHub
  • Re: [I] [EPIC] A Collection of Wrong Results Bugs - Q4 2026 [datafusion] via GitHub
  • Re: [I] [EPIC] A Collection of Wrong Results Bugs - Q4 2026 [datafusion] via GitHub
  • Re: [I] [EPIC] A Collection of Wrong Results Bugs - Q4 2026 [datafusion] via GitHub
• [PR] feat: keep native Arrow UDFs on Spark's path when the embedded Python version differs [datafusion-comet] via GitHub
  • Re: [PR] feat: keep native Arrow UDFs on Spark's path when the embedded Python version differs [datafusion-comet] via GitHub
  • Re: [PR] feat: keep native Arrow UDFs on Spark's path when the embedded Python version differs [datafusion-comet] via GitHub
• [I] Surface native scalar Arrow UDF errors as Spark's `PythonException` [datafusion-comet] via GitHub
  • Re: [I] Surface native scalar Arrow UDF errors as Spark's `PythonException` [datafusion-comet] via GitHub
• [I] Comparing a `Duration` to an `Interval` with a days field returns wrong results (e.g. `ts - ts <= INTERVAL '3 days'`) [datafusion] via GitHub
  • Re: [I] [dbolympics] Comparing a `Duration` to an `Interval` with a days field returns wrong results (e.g. `ts - ts <= INTERVAL '3 days'`) [datafusion] via GitHub
  • Re: [I] [dbolympics] Comparing a `Duration` to an `Interval` with a days field returns wrong results (e.g. `ts - ts <= INTERVAL '3 days'`) [datafusion] via GitHub
  • Re: [I] [dbolympics] Comparing a `Duration` to an `Interval` with a days field returns wrong results (e.g. `ts - ts <= INTERVAL '3 days'`) [datafusion] via GitHub
• Re: [PR] fix(optimizer): preserve correlated columns when removing filter above SubqueryAlias [datafusion] via GitHub
  • Re: [PR] fix(optimizer): preserve correlated columns when removing filter above SubqueryAlias [datafusion] via GitHub
  • Re: [PR] fix(optimizer): preserve correlated columns when removing filter above SubqueryAlias [datafusion] via GitHub
  • Re: [PR] fix(optimizer): preserve correlated columns when removing filter above SubqueryAlias [datafusion] via GitHub
  • Re: [PR] fix(optimizer): preserve correlated columns when removing filter above SubqueryAlias [datafusion] via GitHub
• [PR] refactor(scheduler): split SelectJoinRule::optimize into per-action methods [datafusion-ballista] via GitHub
• Re: [I] Partial aggregate over fully sorted input fails with ResourcesExhausted instead of emitting completed groups [datafusion] via GitHub
• Re: [PR] Add support for PostgreSQL `DROP RULE` [datafusion-sqlparser-rs] via GitHub
• Re: [PR] feat: support non-foldable sha2 through codegen dispatch [datafusion-comet] via GitHub
  • Re: [PR] feat: support non-foldable sha2 through codegen dispatch [datafusion-comet] via GitHub
  • Re: [PR] feat: support non-foldable sha2 through codegen dispatch [datafusion-comet] via GitHub
  • Re: [PR] feat: support non-foldable sha2 through codegen dispatch [datafusion-comet] via GitHub
• [I] Review "db olympics" results [datafusion] via GitHub
  • Re: [I] Review "db olympics" results [datafusion] via GitHub
  • Re: [I] Review "db olympics" results [datafusion] via GitHub
  • Re: [I] Review "db olympics" results [datafusion] via GitHub
  • Re: [I] Review "db olympics" results [datafusion] via GitHub
  • Re: [I] Review "db olympics" results [datafusion] via GitHub
  • Re: [I] Review "db olympics" results [datafusion] via GitHub
  • Re: [I] Review "db olympics" results [datafusion] via GitHub
  • Re: [I] Review "db olympics" results [datafusion] via GitHub
  • Re: [I] Review "db olympics" results [datafusion] via GitHub
  • Re: [I] Review "db olympics" results [datafusion] via GitHub
  • Re: [I] Review "db olympics" results [datafusion] via GitHub
  • Re: [I] Review "db olympics" results [datafusion] via GitHub
  • Re: [I] Review "db olympics" results [datafusion] via GitHub
  • Re: [I] Review "db olympics" results [datafusion] via GitHub
• [PR] fix: saturate window frame lookahead instead of overflowing on huge FOLLOWING bounds [datafusion] via GitHub
  • Re: [PR] fix: saturate window frame lookahead instead of overflowing on huge FOLLOWING bounds [datafusion] via GitHub
  • Re: [PR] fix: saturate window frame lookahead instead of overflowing on huge FOLLOWING bounds [datafusion] via GitHub
  • Re: [PR] fix: saturate window frame lookahead instead of overflowing on huge FOLLOWING bounds [datafusion] via GitHub
  • Re: [PR] fix: saturate window frame lookahead instead of overflowing on huge FOLLOWING bounds [datafusion] via GitHub
• [I] CometTaskMemoryManager.releaseMemory lowers used before Spark accepts the release [datafusion-comet] via GitHub
• [I] A short grant stays with Spark when handing it back fails, but the pool records nothing [datafusion-comet] via GitHub
• [I] Concurrent unified pool try_grow calls can both ask Spark for the same overcommit [datafusion-comet] via GitHub
• Re: [I] [EPIC] A collection of items to improve DataFuson stability (reduce effort required to upgrade) [datafusion] via GitHub
  • Re: [I] [EPIC] A collection of items to improve DataFuson stability (reduce effort required to upgrade) [datafusion] via GitHub
• Re: [I] When performing set comparison subqueries (such as > ANY / > ALL / = ANY, etc.) on the same table (without using aliases), silently returns wrong results (0 rows or all rows). [datafusion] via GitHub
• [PR] Fix/topk recursive 26642 [datafusion] via GitHub
  • Re: [PR] fix: preserve TopK dynamic filters across recursive CTE iterations [datafusion] via GitHub
  • Re: [PR] fix: preserve TopK dynamic filters across recursive CTE iterations [datafusion] via GitHub
  • Re: [PR] fix: preserve TopK dynamic filters across recursive CTE iterations [datafusion] via GitHub
  • Re: [PR] fix: preserve TopK dynamic filters across recursive CTE iterations [datafusion] via GitHub
  • Re: [PR] fix: preserve TopK dynamic filters across recursive CTE iterations [datafusion] via GitHub
  • Re: [PR] fix: preserve TopK dynamic filters across recursive CTE iterations [datafusion] via GitHub
  • Re: [PR] fix: preserve TopK dynamic filters across recursive CTE iterations [datafusion] via GitHub
• [PR] fix: preserve hash join dynamic filters across recursive CTE iterations [datafusion] via GitHub
  • Re: [PR] fix: preserve hash join dynamic filters across recursive CTE iterations [datafusion] via GitHub
  • Re: [PR] fix: preserve hash join dynamic filters across recursive CTE iterations [datafusion] via GitHub
  • Re: [PR] fix: preserve hash join dynamic filters across recursive CTE iterations [datafusion] via GitHub
  • Re: [PR] fix: preserve hash join dynamic filters across recursive CTE iterations [datafusion] via GitHub
  • Re: [PR] fix: preserve hash join dynamic filters across recursive CTE iterations [datafusion] via GitHub
  • Re: [PR] fix: preserve hash join dynamic filters across recursive CTE iterations [datafusion] via GitHub
  • Re: [PR] fix: preserve hash join dynamic filters across recursive CTE iterations [datafusion] via GitHub

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