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109878, "shuffle_write_bytes": 0 } ] }, { "group": "aqe-off-2", "variant": "aqe-off", "repeat": 2, "warmup": false, "wall_ms": 338.072, "result": { "keys": 1000, "rows": 240000, "value_sum": 56, "oracle_equal": true }, "output_sha256": "6274b0ce93935abfd63563197c4a2222583bbf93fa56ff11532e72fa6d01821a", "adaptive": { "enabled": false, "coalesce_enabled": true, "is_final_plan": null, "output_partitions": 32, "shuffle_reads": [], "sql_operators": [ { "node": "WholeStageCodegen (2)", "metrics": { "pipelineTime": 52 } }, { "node": "HashAggregate", "metrics": { "spillSize": 0, "aggTime": 1, "peakMemory": 276823552, "numOutputRows": 1000, "numTasksFallBacked": 0, "avgHashProbe": 320 } }, { "node": "InputAdapter", "metrics": {} }, { "node": "Exchange", "metrics": { "shuffleRecordsWritten": 8000, "localMergedChunksFetched": 0, "shuffleWriteTime": 107841230, "remoteMergedBytesRead": 0, "localMergedBlocksFetched": 0, "corruptMergedBlockChunks": 0, "remoteMergedReqsDuration": 0, "remoteMergedBlocksFetched": 0, "recordsRead": 8000, "localBytesRead": 109878, "fetchWaitTime": 0, "remoteBytesRead": 0, "mergedFetchFallbackCount": 0, "localBlocksFetched": 256, "remoteMergedChunksFetched": 0, "remoteBlocksFetched": 0, "dataSize": 256000, "localMergedBytesRead": 0, "numPartitions": 32, "remoteReqsDuration": 0, "remoteBytesReadToDisk": 0, "shuffleBytesWritten": 109878 } }, { "node": "WholeStageCodegen (1)", "metrics": { "pipelineTime": 73 } }, { "node": "HashAggregate", "metrics": { "spillSize": 0, "aggTime": 12, "peakMemory": 2097152, "numOutputRows": 8000, "numTasksFallBacked": 0, "avgHashProbe": 0 } }, { "node": "Project", "metrics": {} }, { "node": "Range", "metrics": { "numOutputRows": 240000 } } ] }, "metrics": { "shuffle_write_bytes": 109878, "shuffle_read_bytes": 109878, "remote_read_bytes": 0, "memory_spill_bytes": 0, "disk_spill_bytes": 0, "shuffle_write_records": 8000, "tasks": 40, "failed_attempts": 0, "stages": 2, "max_task_ms": 50, "peak_execution_bytes": 8650736 }, "stage_metrics": [ { "stage": 24, "attempts": 8, "shuffle_read_bytes": 0, "shuffle_write_bytes": 109878 }, { "stage": 25, "attempts": 32, "shuffle_read_bytes": 109878, "shuffle_write_bytes": 0 } ] }, { "group": "aqe-on-no-coalesce-2", "variant": "aqe-on-no-coalesce", "repeat": 2, "warmup": false, "wall_ms": 294.457, "result": { "keys": 1000, "rows": 240000, "value_sum": 56, "oracle_equal": true }, "output_sha256": "6274b0ce93935abfd63563197c4a2222583bbf93fa56ff11532e72fa6d01821a", "adaptive": { "enabled": true, "coalesce_enabled": false, "is_final_plan": true, "output_partitions": 32, "shuffle_reads": [], "sql_operators": [ { "node": "AdaptiveSparkPlan", "metrics": {} }, { "node": "WholeStageCodegen (2)", "metrics": { "pipelineTime": 35 } }, { "node": "HashAggregate", "metrics": { "spillSize": 0, "aggTime": 5, "peakMemory": 276823552, "numOutputRows": 1000, "numTasksFallBacked": 0, "avgHashProbe": 320 } }, { "node": "InputAdapter", "metrics": {} }, { "node": "ShuffleQueryStage", "metrics": {} }, { "node": "Exchange", "metrics": { "shuffleRecordsWritten": 8000, "localMergedChunksFetched": 0, "shuffleWriteTime": 67660960, "remoteMergedBytesRead": 0, "localMergedBlocksFetched": 0, "corruptMergedBlockChunks": 0, "remoteMergedReqsDuration": 0, "remoteMergedBlocksFetched": 0, "recordsRead": 8000, "localBytesRead": 109878, "fetchWaitTime": 0, "remoteBytesRead": 0, "mergedFetchFallbackCount": 0, "localBlocksFetched": 256, "remoteMergedChunksFetched": 0, "remoteBlocksFetched": 0, "dataSize": 256000, "localMergedBytesRead": 0, "numPartitions": 32, "remoteReqsDuration": 0, "remoteBytesReadToDisk": 0, "shuffleBytesWritten": 109878 } }, { "node": "WholeStageCodegen (1)", "metrics": { "pipelineTime": 65 } }, { "node": "HashAggregate", "metrics": { "spillSize": 0, "aggTime": 14, "peakMemory": 2097152, "numOutputRows": 8000, "numTasksFallBacked": 0, "avgHashProbe": 0 } }, { "node": "Project", "metrics": {} }, { "node": "Range", "metrics": { "numOutputRows": 240000 } } ] }, "metrics": { "shuffle_write_bytes": 109878, "shuffle_read_bytes": 109878, "remote_read_bytes": 0, "memory_spill_bytes": 0, "disk_spill_bytes": 0, "shuffle_write_records": 8000, "tasks": 40, "failed_attempts": 0, "stages": 2, "max_task_ms": 24, "peak_execution_bytes": 8650736 }, "stage_metrics": [ { "stage": 26, "attempts": 8, "shuffle_read_bytes": 0, "shuffle_write_bytes": 109878 }, { "stage": 28, "attempts": 32, "shuffle_read_bytes": 109878, "shuffle_write_bytes": 0 } ] }, { "group": "aqe-on-coalesce-2", "variant": "aqe-on-coalesce", "repeat": 2, "warmup": false, "wall_ms": 234.418, "result": { "keys": 1000, "rows": 240000, "value_sum": 56, "oracle_equal": true }, "output_sha256": "6274b0ce93935abfd63563197c4a2222583bbf93fa56ff11532e72fa6d01821a", "adaptive": { "enabled": true, "coalesce_enabled": true, "is_final_plan": true, "output_partitions": 1, "shuffle_reads": [ { "node": "AQEShuffleRead", "metrics": { "numPartitions": 1, "partitionDataSize": 115003, "numCoalescedPartitions": 1 }, "partition_specs": [ { "kind": "CoalescedPartitionSpec", "start_reducer": 0, "end_reducer": 32 } ] } ], "sql_operators": [ { "node": "AdaptiveSparkPlan", "metrics": {} }, { "node": "WholeStageCodegen (2)", "metrics": { "pipelineTime": 4 } }, { "node": "HashAggregate", "metrics": { "spillSize": 0, "aggTime": 3, "peakMemory": 8650736, "numOutputRows": 1000, "numTasksFallBacked": 0, "avgHashProbe": 10 } }, { "node": "InputAdapter", "metrics": {} }, { "node": "AQEShuffleRead", "metrics": { "numPartitions": 1, "partitionDataSize": 115003, "numCoalescedPartitions": 1 }, "partition_specs": [ { "kind": "CoalescedPartitionSpec", "start_reducer": 0, "end_reducer": 32 } ] }, { "node": "ShuffleQueryStage", "metrics": {} }, { "node": "Exchange", "metrics": { "shuffleRecordsWritten": 8000, "localMergedChunksFetched": 0, "shuffleWriteTime": 70119947, "remoteMergedBytesRead": 0, "localMergedBlocksFetched": 0, "corruptMergedBlockChunks": 0, "remoteMergedReqsDuration": 0, "remoteMergedBlocksFetched": 0, "recordsRead": 8000, "localBytesRead": 109878, "fetchWaitTime": 0, "remoteBytesRead": 0, "mergedFetchFallbackCount": 0, "localBlocksFetched": 8, "remoteMergedChunksFetched": 0, "remoteBlocksFetched": 0, "dataSize": 256000, "localMergedBytesRead": 0, "numPartitions": 32, "remoteReqsDuration": 0, "remoteBytesReadToDisk": 0, "shuffleBytesWritten": 109878 } }, { "node": "WholeStageCodegen (1)", "metrics": { "pipelineTime": 66 } }, { "node": "HashAggregate", "metrics": { "spillSize": 0, "aggTime": 12, "peakMemory": 2097152, "numOutputRows": 8000, "numTasksFallBacked": 0, "avgHashProbe": 0 } }, { "node": "Project", "metrics": {} }, { "node": "Range", "metrics": { "numOutputRows": 240000 } } ] }, "metrics": { "shuffle_write_bytes": 109878, "shuffle_read_bytes": 109878, "remote_read_bytes": 0, "memory_spill_bytes": 0, "disk_spill_bytes": 0, "shuffle_write_records": 8000, "tasks": 9, "failed_attempts": 0, "stages": 2, "max_task_ms": 46, "peak_execution_bytes": 8650736 }, "stage_metrics": [ { "stage": 29, "attempts": 8, "shuffle_read_bytes": 0, "shuffle_write_bytes": 109878 }, { "stage": 31, "attempts": 1, "shuffle_read_bytes": 109878, "shuffle_write_bytes": 0 } ] } ], "plans": { "aqe-off--1:before": "*(2) HashAggregate(keys=[k#2L], functions=[count(1), sum(v#3L)], output=[k#2L, n#9L, total#11L])\n+- Exchange hashpartitioning(k#2L, 32), ENSURE_REQUIREMENTS, [plan_id=17]\n +- *(1) HashAggregate(keys=[k#2L], functions=[partial_count(1), partial_sum(v#3L)], output=[k#2L, count#17L, sum#18L])\n +- *(1) Project [(((id#0L * 31) + 42) % 1000) AS k#2L, ((((id#0L * 17) + 42) % 101) - 50) AS v#3L]\n +- *(1) Range (0, 240000, step=1, splits=8)\n", "aqe-off--1:after": "*(2) HashAggregate(keys=[k#2L], functions=[count(1), sum(v#3L)], output=[k#2L, n#9L, total#11L])\n+- Exchange hashpartitioning(k#2L, 32), ENSURE_REQUIREMENTS, [plan_id=17]\n +- *(1) HashAggregate(keys=[k#2L], functions=[partial_count(1), partial_sum(v#3L)], output=[k#2L, count#17L, sum#18L])\n +- *(1) Project [(((id#0L * 31) + 42) % 1000) AS k#2L, ((((id#0L * 17) + 42) % 101) - 50) AS v#3L]\n +- *(1) Range (0, 240000, step=1, splits=8)\n", "aqe-on-no-coalesce--1:before": "AdaptiveSparkPlan isFinalPlan=false\n+- HashAggregate(keys=[k#22L], functions=[count(1), sum(v#23L)], output=[k#22L, n#29L, total#31L])\n +- Exchange hashpartitioning(k#22L, 32), ENSURE_REQUIREMENTS, [plan_id=44]\n +- HashAggregate(keys=[k#22L], functions=[partial_count(1), partial_sum(v#23L)], output=[k#22L, count#37L, sum#38L])\n +- Project [(((id#20L * 31) + 42) % 1000) AS k#22L, ((((id#20L * 17) + 42) % 101) - 50) AS v#23L]\n +- Range (0, 240000, step=1, splits=8)\n", "aqe-on-no-coalesce--1:after": "AdaptiveSparkPlan isFinalPlan=true\n+- == Final Plan ==\n *(2) HashAggregate(keys=[k#22L], functions=[count(1), sum(v#23L)], output=[k#22L, n#29L, total#31L])\n +- ShuffleQueryStage 0\n +- Exchange hashpartitioning(k#22L, 32), ENSURE_REQUIREMENTS, [plan_id=54]\n +- *(1) HashAggregate(keys=[k#22L], functions=[partial_count(1), partial_sum(v#23L)], output=[k#22L, count#37L, sum#38L])\n +- *(1) Project [(((id#20L * 31) + 42) % 1000) AS k#22L, ((((id#20L * 17) + 42) % 101) - 50) AS v#23L]\n +- *(1) Range (0, 240000, step=1, splits=8)\n+- == Initial Plan ==\n HashAggregate(keys=[k#22L], functions=[count(1), sum(v#23L)], output=[k#22L, n#29L, total#31L])\n +- Exchange hashpartitioning(k#22L, 32), ENSURE_REQUIREMENTS, [plan_id=44]\n +- HashAggregate(keys=[k#22L], functions=[partial_count(1), partial_sum(v#23L)], output=[k#22L, count#37L, sum#38L])\n +- Project [(((id#20L * 31) + 42) % 1000) AS k#22L, ((((id#20L * 17) + 42) % 101) - 50) AS v#23L]\n +- Range (0, 240000, step=1, splits=8)\n", "aqe-on-coalesce--1:before": "AdaptiveSparkPlan isFinalPlan=false\n+- HashAggregate(keys=[k#42L], functions=[count(1), sum(v#43L)], output=[k#42L, n#49L, total#51L])\n +- Exchange hashpartitioning(k#42L, 32), ENSURE_REQUIREMENTS, [plan_id=79]\n +- HashAggregate(keys=[k#42L], functions=[partial_count(1), partial_sum(v#43L)], output=[k#42L, count#57L, sum#58L])\n +- Project [(((id#40L * 31) + 42) % 1000) AS k#42L, ((((id#40L * 17) + 42) % 101) - 50) AS v#43L]\n +- Range (0, 240000, step=1, splits=8)\n", "aqe-on-coalesce--1:after": "AdaptiveSparkPlan isFinalPlan=true\n+- == Final Plan ==\n *(2) HashAggregate(keys=[k#42L], functions=[count(1), sum(v#43L)], output=[k#42L, n#49L, total#51L])\n +- AQEShuffleRead coalesced\n +- ShuffleQueryStage 0\n +- Exchange hashpartitioning(k#42L, 32), ENSURE_REQUIREMENTS, [plan_id=89]\n +- *(1) HashAggregate(keys=[k#42L], functions=[partial_count(1), partial_sum(v#43L)], output=[k#42L, count#57L, sum#58L])\n +- *(1) Project [(((id#40L * 31) + 42) % 1000) AS k#42L, ((((id#40L * 17) + 42) % 101) - 50) AS v#43L]\n +- *(1) Range (0, 240000, step=1, splits=8)\n+- == Initial Plan ==\n HashAggregate(keys=[k#42L], functions=[count(1), sum(v#43L)], output=[k#42L, n#49L, total#51L])\n +- Exchange hashpartitioning(k#42L, 32), ENSURE_REQUIREMENTS, [plan_id=79]\n +- HashAggregate(keys=[k#42L], functions=[partial_count(1), partial_sum(v#43L)], output=[k#42L, count#57L, sum#58L])\n +- Project [(((id#40L * 31) + 42) % 1000) AS k#42L, ((((id#40L * 17) + 42) % 101) - 50) AS v#43L]\n +- Range (0, 240000, step=1, splits=8)\n", "aqe-off-0:before": "*(2) HashAggregate(keys=[k#62L], functions=[count(1), sum(v#63L)], output=[k#62L, n#69L, total#71L])\n+- Exchange hashpartitioning(k#62L, 32), ENSURE_REQUIREMENTS, [plan_id=118]\n +- *(1) HashAggregate(keys=[k#62L], functions=[partial_count(1), partial_sum(v#63L)], output=[k#62L, count#77L, sum#78L])\n +- *(1) Project [(((id#60L * 31) + 42) % 1000) AS k#62L, ((((id#60L * 17) + 42) % 101) - 50) AS v#63L]\n +- *(1) Range (0, 240000, step=1, splits=8)\n", "aqe-off-0:after": "*(2) HashAggregate(keys=[k#62L], functions=[count(1), sum(v#63L)], output=[k#62L, n#69L, total#71L])\n+- Exchange hashpartitioning(k#62L, 32), ENSURE_REQUIREMENTS, [plan_id=118]\n +- *(1) HashAggregate(keys=[k#62L], functions=[partial_count(1), partial_sum(v#63L)], output=[k#62L, count#77L, sum#78L])\n +- *(1) Project [(((id#60L * 31) + 42) % 1000) AS k#62L, ((((id#60L * 17) + 42) % 101) - 50) AS v#63L]\n +- *(1) Range (0, 240000, step=1, splits=8)\n", "aqe-on-no-coalesce-0:before": "AdaptiveSparkPlan isFinalPlan=false\n+- HashAggregate(keys=[k#82L], functions=[count(1), sum(v#83L)], output=[k#82L, n#89L, total#91L])\n +- Exchange hashpartitioning(k#82L, 32), ENSURE_REQUIREMENTS, [plan_id=145]\n +- HashAggregate(keys=[k#82L], functions=[partial_count(1), partial_sum(v#83L)], output=[k#82L, count#97L, sum#98L])\n +- Project [(((id#80L * 31) + 42) % 1000) AS k#82L, ((((id#80L * 17) + 42) % 101) - 50) AS v#83L]\n +- Range (0, 240000, step=1, splits=8)\n", "aqe-on-no-coalesce-0:after": "AdaptiveSparkPlan isFinalPlan=true\n+- == Final Plan ==\n *(2) HashAggregate(keys=[k#82L], functions=[count(1), sum(v#83L)], output=[k#82L, n#89L, total#91L])\n +- ShuffleQueryStage 0\n +- Exchange hashpartitioning(k#82L, 32), ENSURE_REQUIREMENTS, [plan_id=155]\n +- *(1) HashAggregate(keys=[k#82L], functions=[partial_count(1), partial_sum(v#83L)], output=[k#82L, count#97L, sum#98L])\n +- *(1) Project [(((id#80L * 31) + 42) % 1000) AS k#82L, ((((id#80L * 17) + 42) % 101) - 50) AS v#83L]\n +- *(1) Range (0, 240000, step=1, splits=8)\n+- == Initial Plan ==\n HashAggregate(keys=[k#82L], functions=[count(1), sum(v#83L)], output=[k#82L, n#89L, total#91L])\n +- Exchange hashpartitioning(k#82L, 32), ENSURE_REQUIREMENTS, [plan_id=145]\n +- HashAggregate(keys=[k#82L], functions=[partial_count(1), partial_sum(v#83L)], output=[k#82L, count#97L, sum#98L])\n +- Project [(((id#80L * 31) + 42) % 1000) AS k#82L, ((((id#80L * 17) + 42) % 101) - 50) AS v#83L]\n +- Range (0, 240000, step=1, splits=8)\n", "aqe-on-coalesce-0:before": "AdaptiveSparkPlan isFinalPlan=false\n+- HashAggregate(keys=[k#102L], functions=[count(1), sum(v#103L)], output=[k#102L, n#109L, total#111L])\n +- Exchange hashpartitioning(k#102L, 32), ENSURE_REQUIREMENTS, [plan_id=180]\n +- HashAggregate(keys=[k#102L], functions=[partial_count(1), partial_sum(v#103L)], output=[k#102L, count#117L, sum#118L])\n +- Project [(((id#100L * 31) + 42) % 1000) AS k#102L, ((((id#100L * 17) + 42) % 101) - 50) AS v#103L]\n +- Range (0, 240000, step=1, splits=8)\n", "aqe-on-coalesce-0:after": "AdaptiveSparkPlan isFinalPlan=true\n+- == Final Plan ==\n *(2) HashAggregate(keys=[k#102L], functions=[count(1), sum(v#103L)], output=[k#102L, n#109L, total#111L])\n +- AQEShuffleRead coalesced\n +- ShuffleQueryStage 0\n +- Exchange hashpartitioning(k#102L, 32), ENSURE_REQUIREMENTS, [plan_id=190]\n +- *(1) HashAggregate(keys=[k#102L], functions=[partial_count(1), partial_sum(v#103L)], output=[k#102L, count#117L, sum#118L])\n +- *(1) Project [(((id#100L * 31) + 42) % 1000) AS k#102L, ((((id#100L * 17) + 42) % 101) - 50) AS v#103L]\n +- *(1) Range (0, 240000, step=1, splits=8)\n+- == Initial Plan ==\n HashAggregate(keys=[k#102L], functions=[count(1), sum(v#103L)], output=[k#102L, n#109L, total#111L])\n +- Exchange hashpartitioning(k#102L, 32), ENSURE_REQUIREMENTS, [plan_id=180]\n +- HashAggregate(keys=[k#102L], functions=[partial_count(1), partial_sum(v#103L)], output=[k#102L, count#117L, sum#118L])\n +- Project [(((id#100L * 31) + 42) % 1000) AS k#102L, ((((id#100L * 17) + 42) % 101) - 50) AS v#103L]\n +- Range (0, 240000, step=1, splits=8)\n", "aqe-on-coalesce-1:before": "AdaptiveSparkPlan isFinalPlan=false\n+- HashAggregate(keys=[k#122L], functions=[count(1), sum(v#123L)], output=[k#122L, n#129L, total#131L])\n +- Exchange hashpartitioning(k#122L, 32), ENSURE_REQUIREMENTS, [plan_id=217]\n +- HashAggregate(keys=[k#122L], functions=[partial_count(1), partial_sum(v#123L)], output=[k#122L, count#137L, sum#138L])\n +- Project [(((id#120L * 31) + 42) % 1000) AS k#122L, ((((id#120L * 17) + 42) % 101) - 50) AS v#123L]\n +- Range (0, 240000, step=1, splits=8)\n", "aqe-on-coalesce-1:after": "AdaptiveSparkPlan isFinalPlan=true\n+- == Final Plan ==\n *(2) HashAggregate(keys=[k#122L], functions=[count(1), sum(v#123L)], output=[k#122L, n#129L, total#131L])\n +- AQEShuffleRead coalesced\n +- ShuffleQueryStage 0\n +- Exchange hashpartitioning(k#122L, 32), ENSURE_REQUIREMENTS, [plan_id=227]\n +- *(1) HashAggregate(keys=[k#122L], functions=[partial_count(1), partial_sum(v#123L)], output=[k#122L, count#137L, sum#138L])\n +- *(1) Project [(((id#120L * 31) + 42) % 1000) AS k#122L, ((((id#120L * 17) + 42) % 101) - 50) AS v#123L]\n +- *(1) Range (0, 240000, step=1, splits=8)\n+- == Initial Plan ==\n HashAggregate(keys=[k#122L], functions=[count(1), sum(v#123L)], output=[k#122L, n#129L, total#131L])\n +- Exchange hashpartitioning(k#122L, 32), ENSURE_REQUIREMENTS, [plan_id=217]\n +- HashAggregate(keys=[k#122L], functions=[partial_count(1), partial_sum(v#123L)], output=[k#122L, count#137L, sum#138L])\n +- Project [(((id#120L * 31) + 42) % 1000) AS k#122L, ((((id#120L * 17) + 42) % 101) - 50) AS v#123L]\n +- Range (0, 240000, step=1, splits=8)\n", "aqe-on-no-coalesce-1:before": "AdaptiveSparkPlan isFinalPlan=false\n+- HashAggregate(keys=[k#142L], functions=[count(1), sum(v#143L)], output=[k#142L, n#149L, total#151L])\n +- Exchange hashpartitioning(k#142L, 32), ENSURE_REQUIREMENTS, [plan_id=254]\n +- HashAggregate(keys=[k#142L], functions=[partial_count(1), partial_sum(v#143L)], output=[k#142L, count#157L, sum#158L])\n +- Project [(((id#140L * 31) + 42) % 1000) AS k#142L, ((((id#140L * 17) + 42) % 101) - 50) AS v#143L]\n +- Range (0, 240000, step=1, splits=8)\n", "aqe-on-no-coalesce-1:after": "AdaptiveSparkPlan isFinalPlan=true\n+- == Final Plan ==\n *(2) HashAggregate(keys=[k#142L], functions=[count(1), sum(v#143L)], output=[k#142L, n#149L, total#151L])\n +- ShuffleQueryStage 0\n +- Exchange hashpartitioning(k#142L, 32), ENSURE_REQUIREMENTS, [plan_id=264]\n +- *(1) HashAggregate(keys=[k#142L], functions=[partial_count(1), partial_sum(v#143L)], output=[k#142L, count#157L, sum#158L])\n +- *(1) Project [(((id#140L * 31) + 42) % 1000) AS k#142L, ((((id#140L * 17) + 42) % 101) - 50) AS v#143L]\n +- *(1) Range (0, 240000, step=1, splits=8)\n+- == Initial Plan ==\n HashAggregate(keys=[k#142L], functions=[count(1), sum(v#143L)], output=[k#142L, n#149L, total#151L])\n +- Exchange hashpartitioning(k#142L, 32), ENSURE_REQUIREMENTS, [plan_id=254]\n +- HashAggregate(keys=[k#142L], functions=[partial_count(1), partial_sum(v#143L)], output=[k#142L, count#157L, sum#158L])\n +- Project [(((id#140L * 31) + 42) % 1000) AS k#142L, ((((id#140L * 17) + 42) % 101) - 50) AS v#143L]\n +- Range (0, 240000, step=1, splits=8)\n", "aqe-off-1:before": "*(2) HashAggregate(keys=[k#162L], functions=[count(1), sum(v#163L)], output=[k#162L, n#169L, total#171L])\n+- Exchange hashpartitioning(k#162L, 32), ENSURE_REQUIREMENTS, [plan_id=291]\n +- *(1) HashAggregate(keys=[k#162L], functions=[partial_count(1), partial_sum(v#163L)], output=[k#162L, count#177L, sum#178L])\n +- *(1) Project [(((id#160L * 31) + 42) % 1000) AS k#162L, ((((id#160L * 17) + 42) % 101) - 50) AS v#163L]\n +- *(1) Range (0, 240000, step=1, splits=8)\n", "aqe-off-1:after": "*(2) HashAggregate(keys=[k#162L], functions=[count(1), sum(v#163L)], output=[k#162L, n#169L, total#171L])\n+- Exchange hashpartitioning(k#162L, 32), ENSURE_REQUIREMENTS, [plan_id=291]\n +- *(1) HashAggregate(keys=[k#162L], functions=[partial_count(1), partial_sum(v#163L)], output=[k#162L, count#177L, sum#178L])\n +- *(1) Project [(((id#160L * 31) + 42) % 1000) AS k#162L, ((((id#160L * 17) + 42) % 101) - 50) AS v#163L]\n +- *(1) Range (0, 240000, step=1, splits=8)\n", "aqe-off-2:before": "*(2) HashAggregate(keys=[k#182L], functions=[count(1), sum(v#183L)], output=[k#182L, n#189L, total#191L])\n+- Exchange hashpartitioning(k#182L, 32), ENSURE_REQUIREMENTS, [plan_id=320]\n +- *(1) HashAggregate(keys=[k#182L], functions=[partial_count(1), partial_sum(v#183L)], output=[k#182L, count#197L, sum#198L])\n +- *(1) Project [(((id#180L * 31) + 42) % 1000) AS k#182L, ((((id#180L * 17) + 42) % 101) - 50) AS v#183L]\n +- *(1) Range (0, 240000, step=1, splits=8)\n", "aqe-off-2:after": "*(2) HashAggregate(keys=[k#182L], functions=[count(1), sum(v#183L)], output=[k#182L, n#189L, total#191L])\n+- Exchange hashpartitioning(k#182L, 32), ENSURE_REQUIREMENTS, [plan_id=320]\n +- *(1) HashAggregate(keys=[k#182L], functions=[partial_count(1), partial_sum(v#183L)], output=[k#182L, count#197L, sum#198L])\n +- *(1) Project [(((id#180L * 31) + 42) % 1000) AS k#182L, ((((id#180L * 17) + 42) % 101) - 50) AS v#183L]\n +- *(1) Range (0, 240000, step=1, splits=8)\n", "aqe-on-no-coalesce-2:before": "AdaptiveSparkPlan isFinalPlan=false\n+- HashAggregate(keys=[k#202L], functions=[count(1), sum(v#203L)], output=[k#202L, n#209L, total#211L])\n +- Exchange hashpartitioning(k#202L, 32), ENSURE_REQUIREMENTS, [plan_id=347]\n +- HashAggregate(keys=[k#202L], functions=[partial_count(1), partial_sum(v#203L)], output=[k#202L, count#217L, sum#218L])\n +- Project [(((id#200L * 31) + 42) % 1000) AS k#202L, ((((id#200L * 17) + 42) % 101) - 50) AS v#203L]\n +- Range (0, 240000, step=1, splits=8)\n", "aqe-on-no-coalesce-2:after": "AdaptiveSparkPlan isFinalPlan=true\n+- == Final Plan ==\n *(2) HashAggregate(keys=[k#202L], functions=[count(1), sum(v#203L)], output=[k#202L, n#209L, total#211L])\n +- ShuffleQueryStage 0\n +- Exchange hashpartitioning(k#202L, 32), ENSURE_REQUIREMENTS, [plan_id=357]\n +- *(1) HashAggregate(keys=[k#202L], functions=[partial_count(1), partial_sum(v#203L)], output=[k#202L, count#217L, sum#218L])\n +- *(1) Project [(((id#200L * 31) + 42) % 1000) AS k#202L, ((((id#200L * 17) + 42) % 101) - 50) AS v#203L]\n +- *(1) Range (0, 240000, step=1, splits=8)\n+- == Initial Plan ==\n HashAggregate(keys=[k#202L], functions=[count(1), sum(v#203L)], output=[k#202L, n#209L, total#211L])\n +- Exchange hashpartitioning(k#202L, 32), ENSURE_REQUIREMENTS, [plan_id=347]\n +- HashAggregate(keys=[k#202L], functions=[partial_count(1), partial_sum(v#203L)], output=[k#202L, count#217L, sum#218L])\n +- Project [(((id#200L * 31) + 42) % 1000) AS k#202L, ((((id#200L * 17) + 42) % 101) - 50) AS v#203L]\n +- Range (0, 240000, step=1, splits=8)\n", "aqe-on-coalesce-2:before": "AdaptiveSparkPlan isFinalPlan=false\n+- HashAggregate(keys=[k#222L], functions=[count(1), sum(v#223L)], output=[k#222L, n#229L, total#231L])\n +- Exchange hashpartitioning(k#222L, 32), ENSURE_REQUIREMENTS, [plan_id=382]\n +- HashAggregate(keys=[k#222L], functions=[partial_count(1), partial_sum(v#223L)], output=[k#222L, count#237L, sum#238L])\n +- Project [(((id#220L * 31) + 42) % 1000) AS k#222L, ((((id#220L * 17) + 42) % 101) - 50) AS v#223L]\n +- Range (0, 240000, step=1, splits=8)\n", "aqe-on-coalesce-2:after": "AdaptiveSparkPlan isFinalPlan=true\n+- == Final Plan ==\n *(2) HashAggregate(keys=[k#222L], functions=[count(1), sum(v#223L)], output=[k#222L, n#229L, total#231L])\n +- AQEShuffleRead coalesced\n +- ShuffleQueryStage 0\n +- Exchange hashpartitioning(k#222L, 32), ENSURE_REQUIREMENTS, [plan_id=392]\n +- *(1) HashAggregate(keys=[k#222L], functions=[partial_count(1), partial_sum(v#223L)], output=[k#222L, count#237L, sum#238L])\n +- *(1) Project [(((id#220L * 31) + 42) % 1000) AS k#222L, ((((id#220L * 17) + 42) % 101) - 50) AS v#223L]\n +- *(1) Range (0, 240000, step=1, splits=8)\n+- == Initial Plan ==\n HashAggregate(keys=[k#222L], functions=[count(1), sum(v#223L)], output=[k#222L, n#229L, total#231L])\n +- Exchange hashpartitioning(k#222L, 32), ENSURE_REQUIREMENTS, [plan_id=382]\n +- HashAggregate(keys=[k#222L], functions=[partial_count(1), partial_sum(v#223L)], output=[k#222L, count#237L, sum#238L])\n +- Project [(((id#220L * 31) + 42) % 1000) AS k#222L, ((((id#220L * 17) + 42) % 101) - 50) AS v#223L]\n +- Range (0, 240000, step=1, splits=8)\n" }, "observations": { "oracle": "independent Python per-key count and sum; full equality for every action", 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