crp-order-qty-opt-service - Details for Query 12633

Submitted Time: 2026/08/31 13:54:12
Duration: 3 s
Succeeded Jobs: 17654

Plan Visualization

Show the Stage ID and Task ID that corresponds to the max metric

digraph G { 0 [id="node0" labelType="html" label="CollectLimit shuffle records written: 37 remote merged reqs duration: 0 ms remote merged blocks fetched: 0 records read: 1 local bytes read: 682.0 B merged fetch fallback count: 0 local blocks read: 11 remote merged chunks fetched: 0 remote blocks read: 0 local merged bytes read: 0.0 B remote reqs duration: 0 ms local merged chunks fetched: 0 shuffle write time total (min, med, max (stageId: taskId)) 6 ms (0 ms, 0 ms, 0 ms (stage 305697.0: task 883964)) remote merged bytes read: 0.0 B local merged blocks fetched: 0 corrupt merged block chunks: 0 fetch wait time: 0 ms remote bytes read: 0.0 B remote bytes read to disk: 0.0 B shuffle bytes written total (min, med, max (stageId: taskId)) 2.2 KiB (62.0 B, 62.0 B, 62.0 B (stage 305697.0: task 883964))" tooltip="CollectLimit 1"]; 1 [id="node1" labelType="html" label="InMemoryTableScan number of output rows: 119,861" tooltip="InMemoryTableScan"]; subgraph cluster2 { isCluster="true"; id="cluster2"; label="WholeStageCodegen (1)\n \nduration: total (min, med, max (stageId: taskId))\n1.0 s (21 ms, 26 ms, 64 ms (stage 305697.0: task 884014))"; tooltip="WholeStageCodegen (1)"; 3 [id="node3" labelType="html" label=" Project " tooltip="Project [shardId#3391012, item#3391020L AS worklistShardItemId#3391021L]"]; 4 [id="node4" labelType="html" label="Generate number of output rows: 119,861" tooltip="Generate explode(_extract_worklistShardItemId#3391024), [shardId#3391012], false, [item#3391020L]"]; 5 [id="node5" labelType="html" label=" Project " tooltip="Project [shardId#3391012, items#3391014.worklistShardItemId AS _extract_worklistShardItemId#3391024]"]; 6 [id="node6" labelType="html" label="Filter number of output rows: 2,360" tooltip="Filter ((isnotnull(shardId#3391012) AND ((shardId#3391012 = 0_5_10000000532) AND (isOptimal#3391016 <=> false))) AND ((size(items#3391014.worklistShardItemId, true) > 0) AND isnotnull(items#3391014.worklistShardItemId)))"]; 7 [id="node7" labelType="html" label="Scan ExistingRDD number of output rows: 4,900" tooltip="Scan ExistingRDD[shardId#3391012,orderProposalId#3391013L,items#3391014,optimizationGroups#3391015,isOptimal#3391016,lastModified#3391017,optimizationInsights#3391018]"]; } 1->0; 3->1; 4->3; 5->4; 6->5; 7->6; }

Details

== Physical Plan ==
CollectLimit (8)
+- InMemoryTableScan (1)
      +- InMemoryRelation (2)
            +- * Project (7)
               +- * Generate (6)
                  +- * Project (5)
                     +- * Filter (4)
                        +- * Scan ExistingRDD (3)


(1) InMemoryTableScan
Output: []

(2) InMemoryRelation
Arguments: [shardId#3391012, worklistShardItemId#3391021L], StorageLevel(disk, memory, 2 replicas)

(3) Scan ExistingRDD [codegen id : 1]
Output [7]: [shardId#3391012, orderProposalId#3391013L, items#3391014, optimizationGroups#3391015, isOptimal#3391016, lastModified#3391017, optimizationInsights#3391018]
Arguments: [shardId#3391012, orderProposalId#3391013L, items#3391014, optimizationGroups#3391015, isOptimal#3391016, lastModified#3391017, optimizationInsights#3391018], MapPartitionsRDD[143865] at start at FileStorageAdapterImpl.java:596, ExistingRDD, UnknownPartitioning(0)

(4) Filter [codegen id : 1]
Input [7]: [shardId#3391012, orderProposalId#3391013L, items#3391014, optimizationGroups#3391015, isOptimal#3391016, lastModified#3391017, optimizationInsights#3391018]
Condition : ((isnotnull(shardId#3391012) AND ((shardId#3391012 = 0_5_10000000532) AND (isOptimal#3391016 <=> false))) AND ((size(items#3391014.worklistShardItemId, true) > 0) AND isnotnull(items#3391014.worklistShardItemId)))

(5) Project [codegen id : 1]
Output [2]: [shardId#3391012, items#3391014.worklistShardItemId AS _extract_worklistShardItemId#3391024]
Input [7]: [shardId#3391012, orderProposalId#3391013L, items#3391014, optimizationGroups#3391015, isOptimal#3391016, lastModified#3391017, optimizationInsights#3391018]

(6) Generate [codegen id : 1]
Input [2]: [shardId#3391012, _extract_worklistShardItemId#3391024]
Arguments: explode(_extract_worklistShardItemId#3391024), [shardId#3391012], false, [item#3391020L]

(7) Project [codegen id : 1]
Output [2]: [shardId#3391012, item#3391020L AS worklistShardItemId#3391021L]
Input [2]: [shardId#3391012, item#3391020L]

(8) CollectLimit
Input: []
Arguments: 1

SQL / DataFrame Properties

Name	Value
spark.activity.clearDeltaLogCache	false
spark.activity.clearSqlCache	false
spark.activity.hdlfsEnabled	true
spark.activity.isolateSession	true
spark.sql.adaptive.enabled	false
spark.sql.cbo.enabled	false
spark.sql.optimizer.pruneFiltersCanPruneStreamingSubplan	false
spark.sql.parquet.fieldId.read.enabled	true
spark.sql.parquet.fieldId.write.enabled	true
spark.sql.requireAllClusterKeysForDistribution	false
spark.sql.shuffle.partitions	30
spark.sql.streaming.aggregation.stateFormatVersion	2
spark.sql.streaming.flatMapGroupsWithState.stateFormatVersion	2
spark.sql.streaming.join.stateFormatVersion	2
spark.sql.streaming.multipleWatermarkPolicy	min
spark.sql.streaming.stateStore.compression.codec	lz4
spark.sql.streaming.stateStore.encodingFormat	unsaferow
spark.sql.streaming.stateStore.providerClass	org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider
spark.sql.streaming.stateStore.rocksdb.formatVersion	5
spark.sql.streaming.statefulOperator.useStrictDistribution	true
temporal.activity.id	b13104f5-e344-322f-bff3-a09d5377c4e4
temporal.activity.type	RunStreamWithId