crp-order-quantity-kpi-service - Details for Query 43

Submitted Time: 2026/04/20 06:15:12
Duration: 0.4 s
Succeeded Jobs: 57

Plan Visualization

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

digraph G { subgraph cluster0 { isCluster="true"; id="cluster0"; label="WholeStageCodegen (1)\n \nduration: total (min, med, max (stageId: taskId))\n10 ms (0 ms, 0 ms, 5 ms (stage 152.0: task 1144))"; tooltip="WholeStageCodegen (1)"; 1 [id="node1" labelType="html" label=" Project " tooltip="Project [path#3912, partitionValues#3913, size#3914L, modificationTime#3915L, dataChange#3916, null AS stats#3966, tags#3918, deletionVector#3919, baseRowId#3920L, defaultRowCommitVersion#3921L, clusteringProvider#3922]"]; 2 [id="node2" labelType="html" label="Filter number of output rows: 1" tooltip="Filter ((UDF(true, size#3914L, (stats#3923.numRecords - coalesce(deletionVector#3919.cardinality, 0)), stats#3923.numRecords) AND UDF(true, size#3914L, (stats#3923.numRecords - coalesce(deletionVector#3919.cardinality, 0)), stats#3923.numRecords)) AND if (isnull((((stats#3923.nullCount.marketUnit < stats#3923.numRecords) AND ((stats#3923.minValues.marketUnit <= 10000_OP_PERF) AND (10000_OP_PERF <= stats#3923.maxValues.marketUnit))) OR (((isnull(stats#3923.nullCount.marketUnit) OR isnull(stats#3923.numRecords)) OR (isnull(stats#3923.minValues.marketUnit) AND NOT (stats#3923.nullCount.marketUnit = stats#3923.numRecords))) OR (isnull(stats#3923.maxValues.marketUnit) AND NOT (stats#3923.nullCount.marketUnit = stats#3923.numRecords)))))) false else UDF(knownnotnull((((stats#3923.nullCount.marketUnit < stats#3923.numRecords) AND ((stats#3923.minValues.marketUnit <= 10000_OP_PERF) AND (10000_OP_PERF <= stats#3923.maxValues.marketUnit))) OR (((isnull(stats#3923.nullCount.marketUnit) OR isnull(stats#3923.numRecords)) OR (isnull(stats#3923.minValues.marketUnit) AND NOT (stats#3923.nullCount.marketUnit = stats#3923.numRecords))) OR (isnull(stats#3923.maxValues.marketUnit) AND NOT (stats#3923.nullCount.marketUnit = stats#3923.numRecords))))), size#3914L, (stats#3923.numRecords - coalesce(deletionVector#3919.cardinality, 0)), stats#3923.numRecords))"]; 3 [id="node3" labelType="html" label="Scan ExistingRDD Delta Table State with Stats #1 - hdlfs://7da5304c-1f57-47fa-b75a-0f0b4349c280.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-dl-stream-service/prp/market-unit/_delta_log number of output rows: 1" tooltip="Scan ExistingRDD Delta Table State with Stats #1 - hdlfs://7da5304c-1f57-47fa-b75a-0f0b4349c280.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-dl-stream-service/prp/market-unit/_delta_log[path#3912,partitionValues#3913,size#3914L,modificationTime#3915L,dataChange#3916,stats#3923,tags#3918,deletionVector#3919,baseRowId#3920L,defaultRowCommitVersion#3921L,clusteringProvider#3922]"]; } 2->1; 3->2; }

Details

== Physical Plan ==
* Project (3)
+- * Filter (2)
   +- * Scan ExistingRDD Delta Table State with Stats #1 - hdlfs://7da5304c-1f57-47fa-b75a-0f0b4349c280.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-dl-stream-service/prp/market-unit/_delta_log (1)


(1) Scan ExistingRDD Delta Table State with Stats #1 - hdlfs://7da5304c-1f57-47fa-b75a-0f0b4349c280.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-dl-stream-service/prp/market-unit/_delta_log [codegen id : 1]
Output [11]: [path#3912, partitionValues#3913, size#3914L, modificationTime#3915L, dataChange#3916, stats#3923, tags#3918, deletionVector#3919, baseRowId#3920L, defaultRowCommitVersion#3921L, clusteringProvider#3922]
Arguments: [path#3912, partitionValues#3913, size#3914L, modificationTime#3915L, dataChange#3916, stats#3923, tags#3918, deletionVector#3919, baseRowId#3920L, defaultRowCommitVersion#3921L, clusteringProvider#3922], Delta Table State with Stats #1 - hdlfs://7da5304c-1f57-47fa-b75a-0f0b4349c280.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-dl-stream-service/prp/market-unit/_delta_log MapPartitionsRDD[304] at $anonfun$recordDeltaOperationInternal$1 at DatabricksLogging.scala:128, ExistingRDD, UnknownPartitioning(0)

(2) Filter [codegen id : 1]
Input [11]: [path#3912, partitionValues#3913, size#3914L, modificationTime#3915L, dataChange#3916, stats#3923, tags#3918, deletionVector#3919, baseRowId#3920L, defaultRowCommitVersion#3921L, clusteringProvider#3922]
Condition : ((UDF(true, size#3914L, (stats#3923.numRecords - coalesce(deletionVector#3919.cardinality, 0)), stats#3923.numRecords) AND UDF(true, size#3914L, (stats#3923.numRecords - coalesce(deletionVector#3919.cardinality, 0)), stats#3923.numRecords)) AND if (isnull((((stats#3923.nullCount.marketUnit < stats#3923.numRecords) AND ((stats#3923.minValues.marketUnit <= 10000_OP_PERF) AND (10000_OP_PERF <= stats#3923.maxValues.marketUnit))) OR (((isnull(stats#3923.nullCount.marketUnit) OR isnull(stats#3923.numRecords)) OR (isnull(stats#3923.minValues.marketUnit) AND NOT (stats#3923.nullCount.marketUnit = stats#3923.numRecords))) OR (isnull(stats#3923.maxValues.marketUnit) AND NOT (stats#3923.nullCount.marketUnit = stats#3923.numRecords)))))) false else UDF(knownnotnull((((stats#3923.nullCount.marketUnit < stats#3923.numRecords) AND ((stats#3923.minValues.marketUnit <= 10000_OP_PERF) AND (10000_OP_PERF <= stats#3923.maxValues.marketUnit))) OR (((isnull(stats#3923.nullCount.marketUnit) OR isnull(stats#3923.numRecords)) OR (isnull(stats#3923.minValues.marketUnit) AND NOT (stats#3923.nullCount.marketUnit = stats#3923.numRecords))) OR (isnull(stats#3923.maxValues.marketUnit) AND NOT (stats#3923.nullCount.marketUnit = stats#3923.numRecords))))), size#3914L, (stats#3923.numRecords - coalesce(deletionVector#3919.cardinality, 0)), stats#3923.numRecords))

(3) Project [codegen id : 1]
Output [11]: [path#3912, partitionValues#3913, size#3914L, modificationTime#3915L, dataChange#3916, null AS stats#3966, tags#3918, deletionVector#3919, baseRowId#3920L, defaultRowCommitVersion#3921L, clusteringProvider#3922]
Input [11]: [path#3912, partitionValues#3913, size#3914L, modificationTime#3915L, dataChange#3916, stats#3923, tags#3918, deletionVector#3919, baseRowId#3920L, defaultRowCommitVersion#3921L, clusteringProvider#3922]

SQL / DataFrame Properties

Name	Value
spark.activity.hdlfsEnabled	true
spark.activity.isolateSession	true
spark.sql.adaptive.applyFinalStageShuffleOptimizations	false
spark.sql.parquet.fieldId.read.enabled	true
spark.sql.parquet.fieldId.write.enabled	true
spark.sql.sources.bucketing.autoBucketedScan.enabled	false
temporal.activity.id	36e0914c-7e4e-3a52-bc93-e306e07299ba
temporal.activity.type	BufferDataSnapShot