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• • Re: [PR] refactor: move planning APIs to session crate [datafusion] via GitHub
  • Re: [PR] refactor: move planning APIs to session crate [datafusion] via GitHub
  • Re: [PR] refactor: move planning APIs to session crate [datafusion] via GitHub
• [PR] perf: drop redundant concat layer in single-partition shuffle [datafusion-comet] via GitHub
  • Re: [PR] perf: drop redundant concat layer in single-partition shuffle [datafusion-comet] via GitHub
  • Re: [PR] perf: drop redundant concat layer in single-partition shuffle [datafusion-comet] via GitHub
  • Re: [PR] perf: drop redundant concat layer in single-partition shuffle [datafusion-comet] via GitHub
• [I] `to_timestamp_*` discards the timezone of already-timezone-aware inputs [datafusion] via GitHub
  • Re: [I] `to_timestamp_*` discards the timezone of already-timezone-aware inputs [datafusion] via GitHub
  • Re: [I] `to_timestamp_*` discards the timezone of already-timezone-aware inputs [datafusion] via GitHub
  • Re: [I] `to_timestamp_*` discards the timezone of already-timezone-aware inputs [datafusion] via GitHub
• [PR] perf: bypass shuffle BatchCoalescer for already-sized batches [datafusion-comet] via GitHub
  • Re: [PR] perf: bypass shuffle BatchCoalescer for already-sized batches [datafusion-comet] via GitHub
  • Re: [PR] perf: bypass shuffle BatchCoalescer for already-sized batches [datafusion-comet] via GitHub
  • Re: [PR] perf: bypass shuffle BatchCoalescer for already-sized batches [datafusion-comet] via GitHub
  • Re: [PR] perf: bypass shuffle BatchCoalescer for already-sized batches [datafusion-comet] via GitHub
  • Re: [PR] perf: bypass shuffle BatchCoalescer for already-sized batches [datafusion-comet] via GitHub
  • Re: [PR] perf: bypass shuffle BatchCoalescer for already-sized batches [datafusion-comet] via GitHub
  • Re: [PR] perf: bypass shuffle BatchCoalescer for already-sized batches [datafusion-comet] via GitHub
  • Re: [PR] perf: bypass shuffle BatchCoalescer for already-sized batches [datafusion-comet] via GitHub
  • Re: [PR] perf: bypass shuffle BatchCoalescer for already-sized batches [datafusion-comet] via GitHub
• [I] perf: optimize native shuffle writer (redundant copies, per-block allocations) [datafusion-comet] via GitHub
  • Re: [I] perf: optimize native shuffle writer (redundant copies, per-block allocations) [datafusion-comet] via GitHub
  • Re: [I] perf: optimize native shuffle writer (redundant copies, per-block allocations) [datafusion-comet] via GitHub
• Re: [PR] Reduce cloning in LogicalPlanBuilder [datafusion] via GitHub
• [PR] perf(sort-merge): cache current-row key per cursor to speed up SortPreservingMerge [datafusion] via GitHub
  • Re: [PR] perf(sort-merge): cache current-row key per cursor to speed up SortPreservingMerge [datafusion] via GitHub
  • Re: [PR] perf(sort-merge): cache current-row key per cursor to speed up SortPreservingMerge [datafusion] via GitHub
  • Re: [PR] perf(sort-merge): cache current-row key per cursor to speed up SortPreservingMerge [datafusion] via GitHub
  • Re: [PR] perf(sort-merge): cache current-row key per cursor to speed up SortPreservingMerge [datafusion] via GitHub
  • Re: [PR] perf(sort-merge): cache current-row key per cursor to speed up SortPreservingMerge [datafusion] via GitHub
  • Re: [PR] perf(sort-merge): cache current-row key per cursor to speed up SortPreservingMerge [datafusion] via GitHub
  • Re: [PR] perf(sort-merge): cache current-row key per cursor to speed up SortPreservingMerge [datafusion] via GitHub
  • Re: [PR] perf(sort-merge): cache current-row key per cursor to speed up SortPreservingMerge [datafusion] via GitHub
  • Re: [PR] perf(sort-merge): cache current-row key per cursor to speed up SortPreservingMerge [datafusion] via GitHub
  • Re: [PR] perf(sort-merge): cache current-row key per cursor to speed up SortPreservingMerge [datafusion] via GitHub
  • Re: [PR] perf(sort-merge): cache current-row key per cursor to speed up SortPreservingMerge [datafusion] via GitHub
  • Re: [PR] perf(sort-merge): cache current-row key per cursor to speed up SortPreservingMerge [datafusion] via GitHub
• [PR] fix(executor): keep heartbeating while all task slots are busy [datafusion-ballista] via GitHub
  • Re: [PR] fix(executor): keep heartbeating while all task slots are busy [datafusion-ballista] via GitHub
  • Re: [PR] fix(executor): keep heartbeating while all task slots are busy [datafusion-ballista] via GitHub
• [I] [DISCUSSION] Rethinking Code Review and Testing in the Agent Era [datafusion] via GitHub
• [PR] test (slt): add memory-limited aggregation sqllogictests [datafusion] via GitHub
  • Re: [PR] test (slt): add memory-limited aggregation sqllogictests [datafusion] via GitHub
  • Re: [PR] test (slt): add memory-limited aggregation sqllogictests [datafusion] via GitHub
  • Re: [PR] test (slt): add memory-limited aggregation sqllogictests [datafusion] via GitHub
  • Re: [PR] test (slt): add memory-limited aggregation sqllogictests [datafusion] via GitHub
  • Re: [PR] test (slt): add memory-limited aggregation sqllogictests [datafusion] via GitHub
  • Re: [PR] test (slt): add memory-limited aggregation sqllogictests [datafusion] via GitHub
• [I] Epic: investigate and upstream Spice AI scheduler/executor reliability fixes [datafusion-ballista] via GitHub
  • Re: [I] Epic: investigate and upstream Spice AI scheduler/executor reliability fixes [datafusion-ballista] via GitHub
  • Re: [I] Epic: investigate and upstream Spice AI scheduler/executor reliability fixes [datafusion-ballista] via GitHub
  • Re: [I] Epic: investigate and upstream Spice AI scheduler/executor reliability fixes [datafusion-ballista] via GitHub
  • Re: [I] Epic: investigate and upstream Spice AI scheduler/executor reliability fixes [datafusion-ballista] via GitHub
• Re: [PR] perf: optimize `spark_array_compact` (no-op fast path for null-free arrays) [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize `spark_array_compact` (no-op fast path for null-free arrays) [datafusion-comet] via GitHub
• Re: [I] refactor(physical-plan): simplify `ExecutionPlan` children-replacement API [datafusion] via GitHub
  • Re: [I] refactor(physical-plan): simplify `ExecutionPlan` children-replacement API [datafusion] via GitHub
• Re: [I] package `lz4_flex v0.12.0` in Cargo.lock is yanked [datafusion] via GitHub
  • Re: [I] package `lz4_flex v0.12.0` in Cargo.lock is yanked [datafusion] via GitHub
• Re: [PR] feat: [DO NOT MERGE] Iceberg table format V3: native deletion vector reads, fall back for other V3 features [datafusion-comet] via GitHub
• [PR] Add setter for `TaskContext::task_id` [datafusion] via GitHub
  • Re: [PR] Add setter for `TaskContext::task_id` [datafusion] via GitHub
  • Re: [PR] Add setter for `TaskContext::task_id` [datafusion] via GitHub
  • Re: [PR] Add setter for `TaskContext::task_id` [datafusion] via GitHub
• Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
• [PR] fix: Stop trimming trailing zeros when displaying decimals in SLT tests [datafusion] via GitHub
  • Re: [PR] fix: Stop trimming trailing zeros when displaying decimals in SLT tests [datafusion] via GitHub
• Re: [PR] fix: Handle potential overflow in internal state for `avg(decimal)` [datafusion] via GitHub
• [I] Decimal values in SLT tests lose full precision if they have trailing 0 [datafusion] via GitHub
• [PR] refactor(proto): migrate CrossJoinExec and NestedLoopJoinExec serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate CrossJoinExec and NestedLoopJoinExec serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate CrossJoinExec and NestedLoopJoinExec serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate CrossJoinExec and NestedLoopJoinExec serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate CrossJoinExec and NestedLoopJoinExec serde [datafusion] via GitHub
• Re: [I] Optimize `array_has` when the search element is a column [datafusion] via GitHub
• [D] Native OOM on Large-Scale Joins and Distinct/Deduplication Operations [datafusion-comet] via GitHub
• Re: [I] Allow `Partitioning::Range` to satisfy `Distribution::KeyPartitioned` generally [datafusion] via GitHub
• Re: [PR] feat: native RANGE window frames with explicit offset on DATE ORDER BY [datafusion-comet] via GitHub
• Re: [PR] Align grouped `first_value`/`last_value` FILTER handling with shared `Some(true)` semantics [datafusion] via GitHub
  • Re: [PR] Align grouped `first_value`/`last_value` FILTER handling with shared `Some(true)` semantics [datafusion] via GitHub
• [PR] bench: add ASOF join benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add ASOF join benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add ASOF join benchmarks [datafusion] via GitHub
• Re: [PR] perf: optimize `spark_cast_float64_to_utf8` (~40% faster) [datafusion-comet] via GitHub
• [PR] feat: serialize ASOF join plans [datafusion] via GitHub
  • Re: [PR] feat: serialize ASOF join plans [datafusion] via GitHub
  • Re: [PR] feat: serialize ASOF join plans [datafusion] via GitHub
• [PR] feat: add ASOF joins to DataFrame API [datafusion] via GitHub
  • Re: [PR] feat: add ASOF joins to DataFrame API [datafusion] via GitHub
  • Re: [PR] feat: add ASOF joins to DataFrame API [datafusion] via GitHub
• [PR] feat: support ASOF JOIN SQL [datafusion] via GitHub
  • Re: [PR] feat: support ASOF JOIN SQL [datafusion] via GitHub
  • Re: [PR] feat: support ASOF JOIN SQL [datafusion] via GitHub
• [PR] feat: add ASOF join logical semantics [datafusion] via GitHub
  • Re: [PR] feat: add ASOF join logical semantics [datafusion] via GitHub
  • Re: [PR] feat: add ASOF join logical semantics [datafusion] via GitHub
• [PR] feat: add ASOF join physical operator [datafusion] via GitHub
  • Re: [PR] feat: add ASOF join physical operator [datafusion] via GitHub
• [PR] chore(deps): bump tokio-stream from 0.1.18 to 0.1.19 in /python [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump tokio-stream from 0.1.18 to 0.1.19 in /python [datafusion-ballista] via GitHub
• [PR] chore(deps): bump tokio-stream from 0.1.18 to 0.1.19 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump tokio-stream from 0.1.18 to 0.1.19 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump arrow from 58.3.0 to 58.4.0 in /python [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump arrow from 58.3.0 to 58.4.0 in /python [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump arrow from 58.3.0 to 58.4.0 in /python [datafusion-ballista] via GitHub
• [PR] chore(deps): bump arrow-flight from 58.3.0 to 58.4.0 in /python [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump arrow-flight from 58.3.0 to 58.4.0 in /python [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump arrow-flight from 58.3.0 to 58.4.0 in /python [datafusion-ballista] via GitHub
• [PR] chore(deps): bump arrow from 58.3.0 to 58.4.0 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump arrow from 58.3.0 to 58.4.0 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump arrow from 58.3.0 to 58.4.0 [datafusion-ballista] via GitHub
  • [PR] chore(deps): bump arrow from 58.3.0 to 58.4.0 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump arrow from 58.3.0 to 58.4.0 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump arrow-flight from 58.3.0 to 58.4.0 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump arrow-flight from 58.3.0 to 58.4.0 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump arrow-flight from 58.3.0 to 58.4.0 [datafusion-ballista] via GitHub
• [PR] chore(ci): bump taiki-e/install-action from 2.84.0 to 2.84.1 [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): bump taiki-e/install-action from 2.84.0 to 2.84.1 [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): bump taiki-e/install-action from 2.84.0 to 2.84.1 [datafusion-ballista] via GitHub
• [PR] test: cover ArrayExists three-valued logic config [datafusion-comet] via GitHub
  • Re: [PR] test: cover ArrayExists three-valued logic config [datafusion-comet] via GitHub
  • Re: [PR] test: cover ArrayExists three-valued logic config [datafusion-comet] via GitHub
• Re: [PR] perf: optimize `date_trunc` (>2x faster) [datafusion-comet] via GitHub
• Re: [PR] 2PC and staging output [datafusion-comet] via GitHub
• Re: [PR] fix(spark) CTAS with UNION in Spark 4.x native writer [datafusion-comet] via GitHub
• Re: [PR] feat: support InSubquery and Exists in Projection expressions [datafusion] via GitHub
• Re: [PR] fix: translate SIMILAR TO pattern to PostgreSQL-compatible regex [datafusion] via GitHub
• [PR] perf(functions-aggregate): optimize sliding window MIN/MAX using monotonic deques (#23826) [datafusion] via GitHub
  • Re: [PR] perf(functions-aggregate): optimize sliding window MIN/MAX using monotonic deques (#23826) [datafusion] via GitHub
  • Re: [PR] perf(functions-aggregate): optimize sliding window MIN/MAX using monotonic deques (#23826) [datafusion] via GitHub
  • Re: [PR] perf(functions-aggregate): optimize sliding window MIN/MAX using monotonic deques (#23826) [datafusion] via GitHub
  • Re: [PR] perf(functions-aggregate): optimize sliding window MIN/MAX using monotonic deques (#23826) [datafusion] via GitHub
  • Re: [PR] perf(functions-aggregate): optimize sliding window MIN/MAX using monotonic deques (#23826) [datafusion] via GitHub
  • Re: [PR] perf(functions-aggregate): optimize sliding window MIN/MAX using monotonic deques (#23826) [datafusion] via GitHub
  • Re: [PR] perf(functions-aggregate): optimize sliding window MIN/MAX using monotonic deques (#23826) [datafusion] via GitHub
  • Re: [PR] perf(functions-aggregate): optimize sliding window MIN/MAX using monotonic deques (#23826) [datafusion] via GitHub
  • Re: [PR] perf(functions-aggregate): optimize sliding window MIN/MAX using monotonic deques (#23826) [datafusion] via GitHub
  • Re: [PR] perf(functions-aggregate): optimize sliding window MIN/MAX using monotonic deques (#23826) [datafusion] via GitHub
  • Re: [PR] perf(functions-aggregate): optimize sliding window MIN/MAX using monotonic deques (#23826) [datafusion] via GitHub
  • Re: [PR] perf(functions-aggregate): optimize sliding window MIN/MAX using monotonic deques (#23826) [datafusion] via GitHub
  • Re: [PR] perf(functions-aggregate): optimize sliding window MIN/MAX using monotonic deques (#23826) [datafusion] via GitHub
  • Re: [PR] perf(functions-aggregate): optimize sliding window MIN/MAX using monotonic deques (#23826) [datafusion] via GitHub
  • Re: [PR] perf(functions-aggregate): optimize sliding window MIN/MAX using monotonic deques (#23826) [datafusion] via GitHub
  • Re: [PR] perf(functions-aggregate): optimize sliding window MIN/MAX using monotonic deques (#23826) [datafusion] via GitHub
  • Re: [PR] perf(functions-aggregate): optimize sliding window MIN/MAX using monotonic deques (#23826) [datafusion] via GitHub
  • Re: [PR] perf(functions-aggregate): optimize sliding window MIN/MAX using monotonic deques (#23826) [datafusion] via GitHub
  • Re: [PR] perf(functions-aggregate): optimize sliding window MIN/MAX using monotonic deques (#23826) [datafusion] via GitHub
• [I] Optimize sliding window MIN/MAX aggregations using monotonic deques [datafusion] via GitHub
  • Re: [I] Optimize sliding window MIN/MAX aggregations using monotonic deques [datafusion] via GitHub
  • Re: [I] Optimize sliding window MIN/MAX aggregations using monotonic deques [datafusion] via GitHub
  • Re: [I] Optimize sliding window MIN/MAX aggregations using monotonic deques [datafusion] via GitHub
• Re: [PR] feat: add BuildHasher variants for hash_utils [datafusion] via GitHub
  • Re: [PR] feat: add BuildHasher variants for hash_utils [datafusion] via GitHub
  • Re: [PR] feat: add BuildHasher variants for hash_utils [datafusion] via GitHub
  • Re: [PR] feat: add BuildHasher variants for hash_utils [datafusion] via GitHub
  • Re: [PR] feat: add BuildHasher variants for hash_utils [datafusion] via GitHub
  • Re: [PR] feat: add BuildHasher variants for hash_utils [datafusion] via GitHub
  • Re: [PR] feat: add BuildHasher variants for hash_utils [datafusion] via GitHub
  • Re: [PR] feat: add BuildHasher variants for hash_utils [datafusion] via GitHub
  • Re: [PR] feat: add BuildHasher variants for hash_utils [datafusion] via GitHub
  • Re: [PR] feat: add BuildHasher variants for hash_utils [datafusion] via GitHub
  • Re: [PR] feat: add BuildHasher variants for hash_utils [datafusion] via GitHub
  • Re: [PR] feat: add BuildHasher variants for hash_utils [datafusion] via GitHub
  • Re: [PR] feat: add BuildHasher variants for hash_utils [datafusion] via GitHub
  • Re: [PR] feat: add BuildHasher variants for hash_utils [datafusion] via GitHub
• [PR] refactor(proto): migrate AsyncFuncExec to self-serializing proto [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate AsyncFuncExec to self-serializing proto [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate AsyncFuncExec to self-serializing proto [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate AsyncFuncExec to self-serializing proto [datafusion] via GitHub
• [PR] feat(optimizer): logical rewrite Filter(row_number() = 1) over PARTITION BY → Aggregate(FIRST_VALUE(... ORDER BY)) (DRAFT) [datafusion] via GitHub
  • Re: [PR] feat(optimizer): logical rewrite Filter(row_number() = 1) over PARTITION BY → Aggregate(FIRST_VALUE(... ORDER BY)) (DRAFT) [datafusion] via GitHub
  • Re: [PR] feat(optimizer): logical rewrite Filter(row_number() = 1) over PARTITION BY → Aggregate(FIRST_VALUE(... ORDER BY)) (DRAFT) [datafusion] via GitHub
  • Re: [PR] feat(optimizer): logical rewrite Filter(row_number() = 1) over PARTITION BY → Aggregate(FIRST_VALUE(... ORDER BY)) (DRAFT) [datafusion] via GitHub
  • Re: [PR] feat(optimizer): logical rewrite Filter(row_number() = 1) over PARTITION BY → Aggregate(FIRST_VALUE(... ORDER BY)) (DRAFT) [datafusion] via GitHub
  • Re: [PR] feat(optimizer): logical rewrite Filter(row_number() = 1) over PARTITION BY → Aggregate(FIRST_VALUE(... ORDER BY)) (DRAFT) [datafusion] via GitHub
  • Re: [PR] feat(optimizer): logical rewrite Filter(row_number() = 1) over PARTITION BY → Aggregate(FIRST_VALUE(... ORDER BY)) [datafusion] via GitHub
  • Re: [PR] feat(optimizer): logical rewrite Filter(row_number() = 1) over PARTITION BY → Aggregate(FIRST_VALUE(... ORDER BY)) [datafusion] via GitHub
  • Re: [PR] feat(optimizer): logical rewrite Filter(row_number() = 1) over PARTITION BY → Aggregate(FIRST_VALUE(... ORDER BY)) [datafusion] via GitHub
• Re: [I] FIRST/LAST returns wrong result with `PartialMerge` [datafusion-comet] via GitHub
• [I] datafusion-proto: logical-plan serialization overflows the stack in debug builds [datafusion] via GitHub
  • Re: [I] datafusion-proto: logical-plan serialization overflows the stack in debug builds [datafusion] via GitHub
  • Re: [I] datafusion-proto: logical-plan serialization overflows the stack in debug builds [datafusion] via GitHub
• Re: [PR] feat: Add support for `explode_outer` function for arrays [datafusion] via GitHub
  • Re: [PR] feat: Add support for `explode_outer` function for arrays [datafusion] via GitHub
  • Re: [PR] feat: Add support for `explode_outer` function for arrays [datafusion] via GitHub
• [PR] Preimage date trunc [datafusion] via GitHub
  • Re: [PR] Preimage date trunc [datafusion] via GitHub
  • Re: [PR] Preimage date trunc [datafusion] via GitHub
  • Re: [PR] Support Preimage for `date_trunc` [datafusion] via GitHub
  • Re: [PR] Support Preimage for `date_trunc` [datafusion] via GitHub
  • Re: [PR] Support Preimage for `date_trunc` [datafusion] via GitHub
• [I] Incorrect result in `DataFusion 54.0.0 version: SELECT DISTINCT host FROM t ORDER BY host LIMIT k [datafusion] via GitHub
  • Re: [I] Incorrect result in DataFusion 53.0.0 version: `SELECT DISTINCT host FROM t ORDER BY host LIMIT k` [datafusion] via GitHub

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