crp-order-qty-opt-service - Details for Query 13554

Submitted Time: 2026/08/31 14:37:28
Duration: 4 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#3614460.toString()), static_invoke(java.lang.Long.valueOf(worklistShardItemId#3614461L)), static_invoke(java.lang.Double.valueOf(qty#3614463)), invoke(demandChannel#3614464.toString()), invoke(demandStream#3614465.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#3614466, 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#3624112: org.apache.spark.sql.Row"]; 1 [id="node1" labelType="html" label=" InMemoryTableScan " tooltip="InMemoryTableScan [shardId#3614460, worklistShardItemId#3614461L, qty#3614463, demandChannel#3614464, demandStream#3614465, kpis#3614466]"]; 2 [id="node2" labelType="html" label=" Exchange " tooltip="Exchange hashpartitioning(worklistShardItemId#3614461L, 30), REPARTITION_BY_NUM, [plan_id=1037329]"]; subgraph cluster3 { isCluster="true"; id="cluster3"; label="WholeStageCodegen (2)"; tooltip="WholeStageCodegen (2)"; 4 [id="node4" labelType="html" label=" HashAggregate " tooltip="HashAggregate(keys=[demandChannel#3614464, shardId#3614460, kpis#3614466, version#3614462, qty#3614463, worklistShardItemId#3614461L, demandStream#3614465], functions=[])"]; } 5 [id="node5" labelType="html" label=" Exchange " tooltip="Exchange hashpartitioning(demandChannel#3614464, shardId#3614460, kpis#3614466, version#3614462, qty#3614463, worklistShardItemId#3614461L, demandStream#3614465, 30), ENSURE_REQUIREMENTS, [plan_id=1037325]"]; 6 [id="node6" labelType="html" label=" HashAggregate " tooltip="HashAggregate(keys=[demandChannel#3614464, shardId#3614460, knownfloatingpointnormalized(transform(kpis#3614466, lambdafunction(knownfloatingpointnormalized(if (isnull(lambda arg#3623877)) null else named_struct(label, lambda arg#3623877.label, dateTime, lambda arg#3623877.dateTime, value, knownfloatingpointnormalized(normalizenanandzero(lambda arg#3623877.value)))), lambda arg#3623877, false))) AS kpis#3614466, version#3614462, knownfloatingpointnormalized(normalizenanandzero(qty#3614463)) AS qty#3614463, worklistShardItemId#3614461L, demandStream#3614465], 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#3614460,worklistShardItemId#3614461L,version#3614462,qty#3614463,demandChannel#3614464,demandStream#3614465,kpis#3614466]"]; } 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#3614460, worklistShardItemId#3614461L, qty#3614463, demandChannel#3614464, demandStream#3614465, kpis#3614466]
Arguments: [shardId#3614460, worklistShardItemId#3614461L, qty#3614463, demandChannel#3614464, demandStream#3614465, kpis#3614466]

(2) InMemoryRelation
Arguments: [shardId#3614460, worklistShardItemId#3614461L, version#3614462, qty#3614463, demandChannel#3614464, demandStream#3614465, kpis#3614466], StorageLevel(disk, memory, 2 replicas)

(3) Scan ExistingRDD [codegen id : 1]
Output [7]: [shardId#3614460, worklistShardItemId#3614461L, version#3614462, qty#3614463, demandChannel#3614464, demandStream#3614465, kpis#3614466]
Arguments: [shardId#3614460, worklistShardItemId#3614461L, version#3614462, qty#3614463, demandChannel#3614464, demandStream#3614465, kpis#3614466], SQLExecutionRDD[154491] at start at FileStorageAdapterImpl.java:596, ExistingRDD, UnknownPartitioning(0)

(4) HashAggregate
Input [7]: [shardId#3614460, worklistShardItemId#3614461L, version#3614462, qty#3614463, demandChannel#3614464, demandStream#3614465, kpis#3614466]
Keys [7]: [demandChannel#3614464, shardId#3614460, knownfloatingpointnormalized(transform(kpis#3614466, lambdafunction(knownfloatingpointnormalized(if (isnull(lambda arg#3623877)) null else named_struct(label, lambda arg#3623877.label, dateTime, lambda arg#3623877.dateTime, value, knownfloatingpointnormalized(normalizenanandzero(lambda arg#3623877.value)))), lambda arg#3623877, false))) AS kpis#3614466, version#3614462, knownfloatingpointnormalized(normalizenanandzero(qty#3614463)) AS qty#3614463, worklistShardItemId#3614461L, demandStream#3614465]
Functions: []
Aggregate Attributes: []
Results [7]: [demandChannel#3614464, shardId#3614460, kpis#3614466, version#3614462, qty#3614463, worklistShardItemId#3614461L, demandStream#3614465]

(5) Exchange
Input [7]: [demandChannel#3614464, shardId#3614460, kpis#3614466, version#3614462, qty#3614463, worklistShardItemId#3614461L, demandStream#3614465]
Arguments: hashpartitioning(demandChannel#3614464, shardId#3614460, kpis#3614466, version#3614462, qty#3614463, worklistShardItemId#3614461L, demandStream#3614465, 30), ENSURE_REQUIREMENTS, [plan_id=1037325]

(6) HashAggregate [codegen id : 2]
Input [7]: [demandChannel#3614464, shardId#3614460, kpis#3614466, version#3614462, qty#3614463, worklistShardItemId#3614461L, demandStream#3614465]
Keys [7]: [demandChannel#3614464, shardId#3614460, kpis#3614466, version#3614462, qty#3614463, worklistShardItemId#3614461L, demandStream#3614465]
Functions: []
Aggregate Attributes: []
Results [7]: [shardId#3614460, worklistShardItemId#3614461L, version#3614462, qty#3614463, demandChannel#3614464, demandStream#3614465, kpis#3614466]

(7) Exchange
Input [7]: [shardId#3614460, worklistShardItemId#3614461L, version#3614462, qty#3614463, demandChannel#3614464, demandStream#3614465, kpis#3614466]
Arguments: hashpartitioning(worklistShardItemId#3614461L, 30), REPARTITION_BY_NUM, [plan_id=1037329]

(8) DeserializeToObject
Input [6]: [shardId#3614460, worklistShardItemId#3614461L, qty#3614463, demandChannel#3614464, demandStream#3614465, kpis#3614466]
Arguments: createexternalrow(invoke(shardId#3614460.toString()), static_invoke(java.lang.Long.valueOf(worklistShardItemId#3614461L)), static_invoke(java.lang.Double.valueOf(qty#3614463)), invoke(demandChannel#3614464.toString()), invoke(demandStream#3614465.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#3614466, 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#3624112: 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	b13104f5-e344-322f-bff3-a09d5377c4e4
temporal.activity.type	RunStreamWithId