crp-order-qty-opt-service - Details for Query 12627

Submitted Time: 2026/08/31 13:53:33
Duration: 2 s
Succeeded Jobs: 17646

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: 1364.0 B merged fetch fallback count: 0 local blocks read: 22 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)) 8 ms (0 ms, 0 ms, 2 ms (stage 305455.0: task 883240)) 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 305455.0: task 883215))" tooltip="CollectLimit 1"]; 1 [id="node1" labelType="html" label="InMemoryTableScan number of output rows: 87,939" tooltip="InMemoryTableScan"]; subgraph cluster2 { isCluster="true"; id="cluster2"; label="WholeStageCodegen (1)\n \nduration: total (min, med, max (stageId: taskId))\n1.0 s (20 ms, 26 ms, 46 ms (stage 305455.0: task 883219))"; tooltip="WholeStageCodegen (1)"; 3 [id="node3" labelType="html" label=" Project " tooltip="Project [shardId#3390109, item#3390200L AS worklistShardItemId#3390236L]"]; 4 [id="node4" labelType="html" label="Generate number of output rows: 87,939" tooltip="Generate explode(_extract_worklistShardItemId#3390280), [shardId#3390109], false, [item#3390200L]"]; 5 [id="node5" labelType="html" label=" Project " tooltip="Project [shardId#3390109, items#3390111.worklistShardItemId AS _extract_worklistShardItemId#3390280]"]; 6 [id="node6" labelType="html" label="Filter number of output rows: 1,748" tooltip="Filter ((isnotnull(shardId#3390109) AND ((shardId#3390109 = 0_1_10000000532) AND (isOptimal#3390113 <=> false))) AND ((size(items#3390111.worklistShardItemId, true) > 0) AND isnotnull(items#3390111.worklistShardItemId)))"]; 7 [id="node7" labelType="html" label="Scan ExistingRDD number of output rows: 4,900" tooltip="Scan ExistingRDD[shardId#3390109,orderProposalId#3390110L,items#3390111,optimizationGroups#3390112,isOptimal#3390113,lastModified#3390114,optimizationInsights#3390115]"]; } 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#3390109, worklistShardItemId#3390236L], StorageLevel(disk, memory, 2 replicas)

(3) Scan ExistingRDD [codegen id : 1]
Output [7]: [shardId#3390109, orderProposalId#3390110L, items#3390111, optimizationGroups#3390112, isOptimal#3390113, lastModified#3390114, optimizationInsights#3390115]
Arguments: [shardId#3390109, orderProposalId#3390110L, items#3390111, optimizationGroups#3390112, isOptimal#3390113, lastModified#3390114, optimizationInsights#3390115], MapPartitionsRDD[143758] at start at FileStorageAdapterImpl.java:596, ExistingRDD, UnknownPartitioning(0)

(4) Filter [codegen id : 1]
Input [7]: [shardId#3390109, orderProposalId#3390110L, items#3390111, optimizationGroups#3390112, isOptimal#3390113, lastModified#3390114, optimizationInsights#3390115]
Condition : ((isnotnull(shardId#3390109) AND ((shardId#3390109 = 0_1_10000000532) AND (isOptimal#3390113 <=> false))) AND ((size(items#3390111.worklistShardItemId, true) > 0) AND isnotnull(items#3390111.worklistShardItemId)))

(5) Project [codegen id : 1]
Output [2]: [shardId#3390109, items#3390111.worklistShardItemId AS _extract_worklistShardItemId#3390280]
Input [7]: [shardId#3390109, orderProposalId#3390110L, items#3390111, optimizationGroups#3390112, isOptimal#3390113, lastModified#3390114, optimizationInsights#3390115]

(6) Generate [codegen id : 1]
Input [2]: [shardId#3390109, _extract_worklistShardItemId#3390280]
Arguments: explode(_extract_worklistShardItemId#3390280), [shardId#3390109], false, [item#3390200L]

(7) Project [codegen id : 1]
Output [2]: [shardId#3390109, item#3390200L AS worklistShardItemId#3390236L]
Input [2]: [shardId#3390109, item#3390200L]

(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	c0412e0c-cfb3-3467-a349-4a3d97ce959e
temporal.activity.type	RunStreamWithId