crp-order-qty-opt-service - Details for Query 13522

Submitted Time: 2026/08/31 14:22:21
Duration: 5 ms

Plan Visualization

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

digraph G { 0 [id="node0" labelType="html" label=" DeserializeToObject " tooltip="DeserializeToObject createexternalrow(invoke(shardId#3615106.toString()), static_invoke(java.lang.Long.valueOf(worklistShardItemId#3615107L)), static_invoke(java.lang.Double.valueOf(qty#3615109)), invoke(demandChannel#3615110.toString()), invoke(demandStream#3615111.toString()), mapobjects(lambdavariable(MapObject, StructField(label,StringType,true), StructField(dateTime,TimestampType,true), StructField(value,DoubleType,true), true, -1), if (isnull(lambdavariable(MapObject, StructField(label,StringType,true), StructField(dateTime,TimestampType,true), StructField(value,DoubleType,true), true, -1))) null else createexternalrow(invoke(lambdavariable(MapObject, StructField(label,StringType,true), StructField(dateTime,TimestampType,true), StructField(value,DoubleType,true), true, -1).label.toString()), static_invoke(DateTimeUtils.toJavaTimestamp(lambdavariable(MapObject, StructField(label,StringType,true), StructField(dateTime,TimestampType,true), StructField(value,DoubleType,true), true, -1).dateTime)), static_invoke(java.lang.Double.valueOf(lambdavariable(MapObject, StructField(label,StringType,true), StructField(dateTime,TimestampType,true), StructField(value,DoubleType,true), true, -1).value)), StructField(label,StringType,true), StructField(dateTime,TimestampType,true), StructField(value,DoubleType,true)), kpis#3615112, Some(class scala.collection.mutable.ArraySeq)), StructField(shardId,StringType,true), StructField(worklistShardItemId,LongType,true), StructField(qty,DoubleType,true), StructField(demandChannel,StringType,true), StructField(demandStream,StringType,true), StructField(kpis,ArrayType(StructType(StructField(label,StringType,true),StructField(dateTime,TimestampType,true),StructField(value,DoubleType,true)),true),true)), obj#3615607: org.apache.spark.sql.Row"]; 1 [id="node1" labelType="html" label=" InMemoryTableScan " tooltip="InMemoryTableScan [shardId#3615106, worklistShardItemId#3615107L, qty#3615109, demandChannel#3615110, demandStream#3615111, kpis#3615112]"]; 2 [id="node2" labelType="html" label=" Exchange " tooltip="Exchange hashpartitioning(worklistShardItemId#3615107L, 30), REPARTITION_BY_NUM, [plan_id=1034785]"]; subgraph cluster3 { isCluster="true"; id="cluster3"; label="WholeStageCodegen (2)"; tooltip="WholeStageCodegen (2)"; 4 [id="node4" labelType="html" label=" HashAggregate " tooltip="HashAggregate(keys=[demandChannel#3615110, shardId#3615106, kpis#3615112, version#3615108, qty#3615109, worklistShardItemId#3615107L, demandStream#3615111], functions=[])"]; } 5 [id="node5" labelType="html" label=" Exchange " tooltip="Exchange hashpartitioning(demandChannel#3615110, shardId#3615106, kpis#3615112, version#3615108, qty#3615109, worklistShardItemId#3615107L, demandStream#3615111, 30), ENSURE_REQUIREMENTS, [plan_id=1034781]"]; 6 [id="node6" labelType="html" label=" HashAggregate " tooltip="HashAggregate(keys=[demandChannel#3615110, shardId#3615106, knownfloatingpointnormalized(transform(kpis#3615112, lambdafunction(knownfloatingpointnormalized(if (isnull(lambda arg#3615199)) null else named_struct(label, lambda arg#3615199.label, dateTime, lambda arg#3615199.dateTime, value, knownfloatingpointnormalized(normalizenanandzero(lambda arg#3615199.value)))), lambda arg#3615199, false))) AS kpis#3615112, version#3615108, knownfloatingpointnormalized(normalizenanandzero(qty#3615109)) AS qty#3615109, worklistShardItemId#3615107L, demandStream#3615111], functions=[])"]; subgraph cluster7 { isCluster="true"; id="cluster7"; label="WholeStageCodegen (1)"; tooltip="WholeStageCodegen (1)"; 8 [id="node8" labelType="html" label=" Scan ExistingRDD " tooltip="Scan ExistingRDD[shardId#3615106,worklistShardItemId#3615107L,version#3615108,qty#3615109,demandChannel#3615110,demandStream#3615111,kpis#3615112]"]; } 1->0; 2->1; 4->2; 5->4; 6->5; 8->6; }

Details

== Physical Plan ==
DeserializeToObject (8)
+- InMemoryTableScan (1)
      +- InMemoryRelation (2)
            +- Exchange (7)
               +- * HashAggregate (6)
                  +- Exchange (5)
                     +- HashAggregate (4)
                        +- * Scan ExistingRDD (3)


(1) InMemoryTableScan
Output [6]: [shardId#3615106, worklistShardItemId#3615107L, qty#3615109, demandChannel#3615110, demandStream#3615111, kpis#3615112]
Arguments: [shardId#3615106, worklistShardItemId#3615107L, qty#3615109, demandChannel#3615110, demandStream#3615111, kpis#3615112]

(2) InMemoryRelation
Arguments: [shardId#3615106, worklistShardItemId#3615107L, version#3615108, qty#3615109, demandChannel#3615110, demandStream#3615111, kpis#3615112], StorageLevel(disk, memory, 2 replicas)

(3) Scan ExistingRDD [codegen id : 1]
Output [7]: [shardId#3615106, worklistShardItemId#3615107L, version#3615108, qty#3615109, demandChannel#3615110, demandStream#3615111, kpis#3615112]
Arguments: [shardId#3615106, worklistShardItemId#3615107L, version#3615108, qty#3615109, demandChannel#3615110, demandStream#3615111, kpis#3615112], SQLExecutionRDD[154103] at start at FileStorageAdapterImpl.java:596, ExistingRDD, UnknownPartitioning(0)

(4) HashAggregate
Input [7]: [shardId#3615106, worklistShardItemId#3615107L, version#3615108, qty#3615109, demandChannel#3615110, demandStream#3615111, kpis#3615112]
Keys [7]: [demandChannel#3615110, shardId#3615106, knownfloatingpointnormalized(transform(kpis#3615112, lambdafunction(knownfloatingpointnormalized(if (isnull(lambda arg#3615199)) null else named_struct(label, lambda arg#3615199.label, dateTime, lambda arg#3615199.dateTime, value, knownfloatingpointnormalized(normalizenanandzero(lambda arg#3615199.value)))), lambda arg#3615199, false))) AS kpis#3615112, version#3615108, knownfloatingpointnormalized(normalizenanandzero(qty#3615109)) AS qty#3615109, worklistShardItemId#3615107L, demandStream#3615111]
Functions: []
Aggregate Attributes: []
Results [7]: [demandChannel#3615110, shardId#3615106, kpis#3615112, version#3615108, qty#3615109, worklistShardItemId#3615107L, demandStream#3615111]

(5) Exchange
Input [7]: [demandChannel#3615110, shardId#3615106, kpis#3615112, version#3615108, qty#3615109, worklistShardItemId#3615107L, demandStream#3615111]
Arguments: hashpartitioning(demandChannel#3615110, shardId#3615106, kpis#3615112, version#3615108, qty#3615109, worklistShardItemId#3615107L, demandStream#3615111, 30), ENSURE_REQUIREMENTS, [plan_id=1034781]

(6) HashAggregate [codegen id : 2]
Input [7]: [demandChannel#3615110, shardId#3615106, kpis#3615112, version#3615108, qty#3615109, worklistShardItemId#3615107L, demandStream#3615111]
Keys [7]: [demandChannel#3615110, shardId#3615106, kpis#3615112, version#3615108, qty#3615109, worklistShardItemId#3615107L, demandStream#3615111]
Functions: []
Aggregate Attributes: []
Results [7]: [shardId#3615106, worklistShardItemId#3615107L, version#3615108, qty#3615109, demandChannel#3615110, demandStream#3615111, kpis#3615112]

(7) Exchange
Input [7]: [shardId#3615106, worklistShardItemId#3615107L, version#3615108, qty#3615109, demandChannel#3615110, demandStream#3615111, kpis#3615112]
Arguments: hashpartitioning(worklistShardItemId#3615107L, 30), REPARTITION_BY_NUM, [plan_id=1034785]

(8) DeserializeToObject
Input [6]: [shardId#3615106, worklistShardItemId#3615107L, qty#3615109, demandChannel#3615110, demandStream#3615111, kpis#3615112]
Arguments: createexternalrow(invoke(shardId#3615106.toString()), static_invoke(java.lang.Long.valueOf(worklistShardItemId#3615107L)), static_invoke(java.lang.Double.valueOf(qty#3615109)), invoke(demandChannel#3615110.toString()), invoke(demandStream#3615111.toString()), mapobjects(lambdavariable(MapObject, StructField(label,StringType,true), StructField(dateTime,TimestampType,true), StructField(value,DoubleType,true), true, -1), if (isnull(lambdavariable(MapObject, StructField(label,StringType,true), StructField(dateTime,TimestampType,true), StructField(value,DoubleType,true), true, -1))) null else createexternalrow(invoke(lambdavariable(MapObject, StructField(label,StringType,true), StructField(dateTime,TimestampType,true), StructField(value,DoubleType,true), true, -1).label.toString()), static_invoke(DateTimeUtils.toJavaTimestamp(lambdavariable(MapObject, StructField(label,StringType,true), StructField(dateTime,TimestampType,true), StructField(value,DoubleType,true), true, -1).dateTime)), static_invoke(java.lang.Double.valueOf(lambdavariable(MapObject, StructField(label,StringType,true), StructField(dateTime,TimestampType,true), StructField(value,DoubleType,true), true, -1).value)), StructField(label,StringType,true), StructField(dateTime,TimestampType,true), StructField(value,DoubleType,true)), kpis#3615112, Some(class scala.collection.mutable.ArraySeq)), StructField(shardId,StringType,true), StructField(worklistShardItemId,LongType,true), StructField(qty,DoubleType,true), StructField(demandChannel,StringType,true), StructField(demandStream,StringType,true), StructField(kpis,ArrayType(StructType(StructField(label,StringType,true),StructField(dateTime,TimestampType,true),StructField(value,DoubleType,true)),true),true)), obj#3615607: org.apache.spark.sql.Row

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