crp-order-qty-opt-service - Details for Query 12626

Submitted Time: 2026/08/31 13:53:33
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#3385567.toString()), static_invoke(java.lang.Long.valueOf(worklistShardItemId#3385568L)), static_invoke(java.lang.Double.valueOf(qty#3385570)), invoke(demandChannel#3385571.toString()), invoke(demandStream#3385572.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#3385573, 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#3390128: org.apache.spark.sql.Row"]; 1 [id="node1" labelType="html" label=" InMemoryTableScan " tooltip="InMemoryTableScan [shardId#3385567, worklistShardItemId#3385568L, qty#3385570, demandChannel#3385571, demandStream#3385572, kpis#3385573]"]; 2 [id="node2" labelType="html" label=" Exchange " tooltip="Exchange hashpartitioning(worklistShardItemId#3385568L, 30), REPARTITION_BY_NUM, [plan_id=973617]"]; subgraph cluster3 { isCluster="true"; id="cluster3"; label="WholeStageCodegen (2)"; tooltip="WholeStageCodegen (2)"; 4 [id="node4" labelType="html" label=" HashAggregate " tooltip="HashAggregate(keys=[demandChannel#3385571, shardId#3385567, kpis#3385573, version#3385569, qty#3385570, worklistShardItemId#3385568L, demandStream#3385572], functions=[])"]; } 5 [id="node5" labelType="html" label=" Exchange " tooltip="Exchange hashpartitioning(demandChannel#3385571, shardId#3385567, kpis#3385573, version#3385569, qty#3385570, worklistShardItemId#3385568L, demandStream#3385572, 30), ENSURE_REQUIREMENTS, [plan_id=973613]"]; 6 [id="node6" labelType="html" label=" HashAggregate " tooltip="HashAggregate(keys=[demandChannel#3385571, shardId#3385567, knownfloatingpointnormalized(transform(kpis#3385573, lambdafunction(knownfloatingpointnormalized(if (isnull(lambda arg#3387603)) null else named_struct(label, lambda arg#3387603.label, dateTime, lambda arg#3387603.dateTime, value, knownfloatingpointnormalized(normalizenanandzero(lambda arg#3387603.value)))), lambda arg#3387603, false))) AS kpis#3385573, version#3385569, knownfloatingpointnormalized(normalizenanandzero(qty#3385570)) AS qty#3385570, worklistShardItemId#3385568L, demandStream#3385572], 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#3385567,worklistShardItemId#3385568L,version#3385569,qty#3385570,demandChannel#3385571,demandStream#3385572,kpis#3385573]"]; } 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#3385567, worklistShardItemId#3385568L, qty#3385570, demandChannel#3385571, demandStream#3385572, kpis#3385573]
Arguments: [shardId#3385567, worklistShardItemId#3385568L, qty#3385570, demandChannel#3385571, demandStream#3385572, kpis#3385573]

(2) InMemoryRelation
Arguments: [shardId#3385567, worklistShardItemId#3385568L, version#3385569, qty#3385570, demandChannel#3385571, demandStream#3385572, kpis#3385573], StorageLevel(disk, memory, 2 replicas)

(3) Scan ExistingRDD [codegen id : 1]
Output [7]: [shardId#3385567, worklistShardItemId#3385568L, version#3385569, qty#3385570, demandChannel#3385571, demandStream#3385572, kpis#3385573]
Arguments: [shardId#3385567, worklistShardItemId#3385568L, version#3385569, qty#3385570, demandChannel#3385571, demandStream#3385572, kpis#3385573], SQLExecutionRDD[143548] at start at FileStorageAdapterImpl.java:596, ExistingRDD, UnknownPartitioning(0)

(4) HashAggregate
Input [7]: [shardId#3385567, worklistShardItemId#3385568L, version#3385569, qty#3385570, demandChannel#3385571, demandStream#3385572, kpis#3385573]
Keys [7]: [demandChannel#3385571, shardId#3385567, knownfloatingpointnormalized(transform(kpis#3385573, lambdafunction(knownfloatingpointnormalized(if (isnull(lambda arg#3387603)) null else named_struct(label, lambda arg#3387603.label, dateTime, lambda arg#3387603.dateTime, value, knownfloatingpointnormalized(normalizenanandzero(lambda arg#3387603.value)))), lambda arg#3387603, false))) AS kpis#3385573, version#3385569, knownfloatingpointnormalized(normalizenanandzero(qty#3385570)) AS qty#3385570, worklistShardItemId#3385568L, demandStream#3385572]
Functions: []
Aggregate Attributes: []
Results [7]: [demandChannel#3385571, shardId#3385567, kpis#3385573, version#3385569, qty#3385570, worklistShardItemId#3385568L, demandStream#3385572]

(5) Exchange
Input [7]: [demandChannel#3385571, shardId#3385567, kpis#3385573, version#3385569, qty#3385570, worklistShardItemId#3385568L, demandStream#3385572]
Arguments: hashpartitioning(demandChannel#3385571, shardId#3385567, kpis#3385573, version#3385569, qty#3385570, worklistShardItemId#3385568L, demandStream#3385572, 30), ENSURE_REQUIREMENTS, [plan_id=973613]

(6) HashAggregate [codegen id : 2]
Input [7]: [demandChannel#3385571, shardId#3385567, kpis#3385573, version#3385569, qty#3385570, worklistShardItemId#3385568L, demandStream#3385572]
Keys [7]: [demandChannel#3385571, shardId#3385567, kpis#3385573, version#3385569, qty#3385570, worklistShardItemId#3385568L, demandStream#3385572]
Functions: []
Aggregate Attributes: []
Results [7]: [shardId#3385567, worklistShardItemId#3385568L, version#3385569, qty#3385570, demandChannel#3385571, demandStream#3385572, kpis#3385573]

(7) Exchange
Input [7]: [shardId#3385567, worklistShardItemId#3385568L, version#3385569, qty#3385570, demandChannel#3385571, demandStream#3385572, kpis#3385573]
Arguments: hashpartitioning(worklistShardItemId#3385568L, 30), REPARTITION_BY_NUM, [plan_id=973617]

(8) DeserializeToObject
Input [6]: [shardId#3385567, worklistShardItemId#3385568L, qty#3385570, demandChannel#3385571, demandStream#3385572, kpis#3385573]
Arguments: createexternalrow(invoke(shardId#3385567.toString()), static_invoke(java.lang.Long.valueOf(worklistShardItemId#3385568L)), static_invoke(java.lang.Double.valueOf(qty#3385570)), invoke(demandChannel#3385571.toString()), invoke(demandStream#3385572.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#3385573, 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#3390128: 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	fb7f6fa8-0c21-3699-9dc3-f9db990e9763
temporal.activity.type	RunStreamWithId