crp-order-quantity-kpi-service - Details for Query 41110

Submitted Time: 2026/09/01 14:12:16
Duration: 0.7 s
Succeeded Jobs: 66475

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))\n962 ms (1 ms, 1 ms, 67 ms (stage 241467.0: task 2850265))"; tooltip="WholeStageCodegen (1)"; 1 [id="node1" labelType="html" label=" Project " tooltip="Project [path#8713912, partitionValues#8713913, size#8713914L, modificationTime#8713915L, dataChange#8713916, null AS stats#8713966, tags#8713918, deletionVector#8713919, baseRowId#8713920L, defaultRowCommitVersion#8713921L, clusteringProvider#8713922]"]; 2 [id="node2" labelType="html" label="Filter number of output rows: 420" tooltip="Filter ((UDF(true, size#8713914L, (stats#8713923.numRecords - coalesce(deletionVector#8713919.cardinality, 0)), stats#8713923.numRecords) AND UDF(true, size#8713914L, (stats#8713923.numRecords - coalesce(deletionVector#8713919.cardinality, 0)), stats#8713923.numRecords)) AND if (isnull((((((stats#8713923.nullCount.shardId < stats#8713923.numRecords) AND ((stats#8713923.minValues.shardId <= 0_3_10000000540) AND (0_3_10000000540 <= stats#8713923.maxValues.shardId))) AND (stats#8713923.nullCount.product < stats#8713923.numRecords)) AND (stats#8713923.nullCount.plant < stats#8713923.numRecords)) OR ((((((isnull(stats#8713923.maxValues.shardId) AND NOT (stats#8713923.nullCount.shardId = stats#8713923.numRecords)) OR isnull(stats#8713923.nullCount.shardId)) OR isnull(stats#8713923.numRecords)) OR isnull(stats#8713923.nullCount.plant)) OR (isnull(stats#8713923.minValues.shardId) AND NOT (stats#8713923.nullCount.shardId = stats#8713923.numRecords))) OR isnull(stats#8713923.nullCount.product))))) false else UDF(knownnotnull((((((stats#8713923.nullCount.shardId < stats#8713923.numRecords) AND ((stats#8713923.minValues.shardId <= 0_3_10000000540) AND (0_3_10000000540 <= stats#8713923.maxValues.shardId))) AND (stats#8713923.nullCount.product < stats#8713923.numRecords)) AND (stats#8713923.nullCount.plant < stats#8713923.numRecords)) OR ((((((isnull(stats#8713923.maxValues.shardId) AND NOT (stats#8713923.nullCount.shardId = stats#8713923.numRecords)) OR isnull(stats#8713923.nullCount.shardId)) OR isnull(stats#8713923.numRecords)) OR isnull(stats#8713923.nullCount.plant)) OR (isnull(stats#8713923.minValues.shardId) AND NOT (stats#8713923.nullCount.shardId = stats#8713923.numRecords))) OR isnull(stats#8713923.nullCount.product)))), size#8713914L, (stats#8713923.numRecords - coalesce(deletionVector#8713919.cardinality, 0)), stats#8713923.numRecords))"]; 3 [id="node3" labelType="html" label="Scan ExistingRDD Delta Table State with Stats #14 - hdlfs://7da5304c-1f57-47fa-b75a-0f0b4349c280.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-qty-opt-service/out/order-proposal-quantities/10000000540/stream-10000000540-2/shardId=0_3_10000000540/_delta_log number of output rows: 420" tooltip="Scan ExistingRDD Delta Table State with Stats #14 - hdlfs://7da5304c-1f57-47fa-b75a-0f0b4349c280.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-qty-opt-service/out/order-proposal-quantities/10000000540/stream-10000000540-2/shardId=0_3_10000000540/_delta_log[path#8713912,partitionValues#8713913,size#8713914L,modificationTime#8713915L,dataChange#8713916,stats#8713923,tags#8713918,deletionVector#8713919,baseRowId#8713920L,defaultRowCommitVersion#8713921L,clusteringProvider#8713922]"]; } 2->1; 3->2; }

Details

== Physical Plan ==
* Project (3)
+- * Filter (2)
   +- * Scan ExistingRDD Delta Table State with Stats #14 - hdlfs://7da5304c-1f57-47fa-b75a-0f0b4349c280.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-qty-opt-service/out/order-proposal-quantities/10000000540/stream-10000000540-2/shardId=0_3_10000000540/_delta_log (1)


(1) Scan ExistingRDD Delta Table State with Stats #14 - hdlfs://7da5304c-1f57-47fa-b75a-0f0b4349c280.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-qty-opt-service/out/order-proposal-quantities/10000000540/stream-10000000540-2/shardId=0_3_10000000540/_delta_log [codegen id : 1]
Output [11]: [path#8713912, partitionValues#8713913, size#8713914L, modificationTime#8713915L, dataChange#8713916, stats#8713923, tags#8713918, deletionVector#8713919, baseRowId#8713920L, defaultRowCommitVersion#8713921L, clusteringProvider#8713922]
Arguments: [path#8713912, partitionValues#8713913, size#8713914L, modificationTime#8713915L, dataChange#8713916, stats#8713923, tags#8713918, deletionVector#8713919, baseRowId#8713920L, defaultRowCommitVersion#8713921L, clusteringProvider#8713922], Delta Table State with Stats #14 - hdlfs://7da5304c-1f57-47fa-b75a-0f0b4349c280.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-qty-opt-service/out/order-proposal-quantities/10000000540/stream-10000000540-2/shardId=0_3_10000000540/_delta_log MapPartitionsRDD[540387] at start at FileStorageAdapterImpl.java:179, ExistingRDD, UnknownPartitioning(0)

(2) Filter [codegen id : 1]
Input [11]: [path#8713912, partitionValues#8713913, size#8713914L, modificationTime#8713915L, dataChange#8713916, stats#8713923, tags#8713918, deletionVector#8713919, baseRowId#8713920L, defaultRowCommitVersion#8713921L, clusteringProvider#8713922]
Condition : ((UDF(true, size#8713914L, (stats#8713923.numRecords - coalesce(deletionVector#8713919.cardinality, 0)), stats#8713923.numRecords) AND UDF(true, size#8713914L, (stats#8713923.numRecords - coalesce(deletionVector#8713919.cardinality, 0)), stats#8713923.numRecords)) AND if (isnull((((((stats#8713923.nullCount.shardId < stats#8713923.numRecords) AND ((stats#8713923.minValues.shardId <= 0_3_10000000540) AND (0_3_10000000540 <= stats#8713923.maxValues.shardId))) AND (stats#8713923.nullCount.product < stats#8713923.numRecords)) AND (stats#8713923.nullCount.plant < stats#8713923.numRecords)) OR ((((((isnull(stats#8713923.maxValues.shardId) AND NOT (stats#8713923.nullCount.shardId = stats#8713923.numRecords)) OR isnull(stats#8713923.nullCount.shardId)) OR isnull(stats#8713923.numRecords)) OR isnull(stats#8713923.nullCount.plant)) OR (isnull(stats#8713923.minValues.shardId) AND NOT (stats#8713923.nullCount.shardId = stats#8713923.numRecords))) OR isnull(stats#8713923.nullCount.product))))) false else UDF(knownnotnull((((((stats#8713923.nullCount.shardId < stats#8713923.numRecords) AND ((stats#8713923.minValues.shardId <= 0_3_10000000540) AND (0_3_10000000540 <= stats#8713923.maxValues.shardId))) AND (stats#8713923.nullCount.product < stats#8713923.numRecords)) AND (stats#8713923.nullCount.plant < stats#8713923.numRecords)) OR ((((((isnull(stats#8713923.maxValues.shardId) AND NOT (stats#8713923.nullCount.shardId = stats#8713923.numRecords)) OR isnull(stats#8713923.nullCount.shardId)) OR isnull(stats#8713923.numRecords)) OR isnull(stats#8713923.nullCount.plant)) OR (isnull(stats#8713923.minValues.shardId) AND NOT (stats#8713923.nullCount.shardId = stats#8713923.numRecords))) OR isnull(stats#8713923.nullCount.product)))), size#8713914L, (stats#8713923.numRecords - coalesce(deletionVector#8713919.cardinality, 0)), stats#8713923.numRecords))

(3) Project [codegen id : 1]
Output [11]: [path#8713912, partitionValues#8713913, size#8713914L, modificationTime#8713915L, dataChange#8713916, null AS stats#8713966, tags#8713918, deletionVector#8713919, baseRowId#8713920L, defaultRowCommitVersion#8713921L, clusteringProvider#8713922]
Input [11]: [path#8713912, partitionValues#8713913, size#8713914L, modificationTime#8713915L, dataChange#8713916, stats#8713923, tags#8713918, deletionVector#8713919, baseRowId#8713920L, defaultRowCommitVersion#8713921L, clusteringProvider#8713922]

SQL / DataFrame Properties

Name	Value
spark.activity.clearDeltaLogCache	false
spark.activity.clearSqlCache	false
spark.activity.hdlfsEnabled	true
spark.activity.isolateSession	true
spark.databricks.delta.lastCommitVersionInSession	30
spark.sql.adaptive.enabled	false
spark.sql.cbo.enabled	false
spark.sql.parquet.fieldId.read.enabled	true
spark.sql.parquet.fieldId.write.enabled	true
spark.sql.requireAllClusterKeysForDistribution	false
spark.sql.shuffle.partitions	30
temporal.activity.id	e8fa9452-e366-39d8-acd8-b460ac0c4e10
temporal.activity.type	RunStreamWithId