crp-order-quantity-kpi-service - Details for Query 72755

Submitted Time: 2026/05/22 09:42:48
Duration: 0.2 s
Succeeded Jobs: 115879

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))\n61 ms (0 ms, 0 ms, 55 ms (stage 317911.0: task 4689023))"; tooltip="WholeStageCodegen (1)"; 1 [id="node1" labelType="html" label=" Project " tooltip="Project [path#15531712, partitionValues#15531713, size#15531714L, modificationTime#15531715L, dataChange#15531716, null AS stats#15542971, tags#15531718, deletionVector#15531719, baseRowId#15531720L, defaultRowCommitVersion#15531721L, clusteringProvider#15531722]"]; 2 [id="node2" labelType="html" label="Filter number of output rows: 2" tooltip="Filter ((UDF(true, size#15531714L, (stats#15531723.numRecords - coalesce(deletionVector#15531719.cardinality, 0)), stats#15531723.numRecords) AND UDF(true, size#15531714L, (stats#15531723.numRecords - coalesce(deletionVector#15531719.cardinality, 0)), stats#15531723.numRecords)) AND if (isnull((((((stats#15531723.nullCount.shardId < stats#15531723.numRecords) AND ((stats#15531723.minValues.shardId <= 0_1_10000000246) AND (0_1_10000000246 <= stats#15531723.maxValues.shardId))) AND (stats#15531723.nullCount.product < stats#15531723.numRecords)) AND (stats#15531723.nullCount.plant < stats#15531723.numRecords)) OR ((((((isnull(stats#15531723.maxValues.shardId) AND NOT (stats#15531723.nullCount.shardId = stats#15531723.numRecords)) OR isnull(stats#15531723.nullCount.shardId)) OR isnull(stats#15531723.numRecords)) OR isnull(stats#15531723.nullCount.plant)) OR (isnull(stats#15531723.minValues.shardId) AND NOT (stats#15531723.nullCount.shardId = stats#15531723.numRecords))) OR isnull(stats#15531723.nullCount.product))))) false else UDF(knownnotnull((((((stats#15531723.nullCount.shardId < stats#15531723.numRecords) AND ((stats#15531723.minValues.shardId <= 0_1_10000000246) AND (0_1_10000000246 <= stats#15531723.maxValues.shardId))) AND (stats#15531723.nullCount.product < stats#15531723.numRecords)) AND (stats#15531723.nullCount.plant < stats#15531723.numRecords)) OR ((((((isnull(stats#15531723.maxValues.shardId) AND NOT (stats#15531723.nullCount.shardId = stats#15531723.numRecords)) OR isnull(stats#15531723.nullCount.shardId)) OR isnull(stats#15531723.numRecords)) OR isnull(stats#15531723.nullCount.plant)) OR (isnull(stats#15531723.minValues.shardId) AND NOT (stats#15531723.nullCount.shardId = stats#15531723.numRecords))) OR isnull(stats#15531723.nullCount.product)))), size#15531714L, (stats#15531723.numRecords - coalesce(deletionVector#15531719.cardinality, 0)), stats#15531723.numRecords))"]; 3 [id="node3" labelType="html" label="Scan ExistingRDD Delta Table State with Stats #2 - hdlfs://332d7051-0d16-44f5-ae76-bf2dcf30365f.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-qty-opt-service/out/order-proposal-quantities/10000000246/stream-10000000246-1/shardId=0_1_10000000246/_delta_log number of output rows: 2" tooltip="Scan ExistingRDD Delta Table State with Stats #2 - hdlfs://332d7051-0d16-44f5-ae76-bf2dcf30365f.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-qty-opt-service/out/order-proposal-quantities/10000000246/stream-10000000246-1/shardId=0_1_10000000246/_delta_log[path#15531712,partitionValues#15531713,size#15531714L,modificationTime#15531715L,dataChange#15531716,stats#15531723,tags#15531718,deletionVector#15531719,baseRowId#15531720L,defaultRowCommitVersion#15531721L,clusteringProvider#15531722]"]; } 2->1; 3->2; }

Details

== Physical Plan ==
* Project (3)
+- * Filter (2)
   +- * Scan ExistingRDD Delta Table State with Stats #2 - hdlfs://332d7051-0d16-44f5-ae76-bf2dcf30365f.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-qty-opt-service/out/order-proposal-quantities/10000000246/stream-10000000246-1/shardId=0_1_10000000246/_delta_log (1)


(1) Scan ExistingRDD Delta Table State with Stats #2 - hdlfs://332d7051-0d16-44f5-ae76-bf2dcf30365f.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-qty-opt-service/out/order-proposal-quantities/10000000246/stream-10000000246-1/shardId=0_1_10000000246/_delta_log [codegen id : 1]
Output [11]: [path#15531712, partitionValues#15531713, size#15531714L, modificationTime#15531715L, dataChange#15531716, stats#15531723, tags#15531718, deletionVector#15531719, baseRowId#15531720L, defaultRowCommitVersion#15531721L, clusteringProvider#15531722]
Arguments: [path#15531712, partitionValues#15531713, size#15531714L, modificationTime#15531715L, dataChange#15531716, stats#15531723, tags#15531718, deletionVector#15531719, baseRowId#15531720L, defaultRowCommitVersion#15531721L, clusteringProvider#15531722], Delta Table State with Stats #2 - hdlfs://332d7051-0d16-44f5-ae76-bf2dcf30365f.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-qty-opt-service/out/order-proposal-quantities/10000000246/stream-10000000246-1/shardId=0_1_10000000246/_delta_log MapPartitionsRDD[888832] at start at FileStorageAdapterImpl.java:174, ExistingRDD, UnknownPartitioning(0)

(2) Filter [codegen id : 1]
Input [11]: [path#15531712, partitionValues#15531713, size#15531714L, modificationTime#15531715L, dataChange#15531716, stats#15531723, tags#15531718, deletionVector#15531719, baseRowId#15531720L, defaultRowCommitVersion#15531721L, clusteringProvider#15531722]
Condition : ((UDF(true, size#15531714L, (stats#15531723.numRecords - coalesce(deletionVector#15531719.cardinality, 0)), stats#15531723.numRecords) AND UDF(true, size#15531714L, (stats#15531723.numRecords - coalesce(deletionVector#15531719.cardinality, 0)), stats#15531723.numRecords)) AND if (isnull((((((stats#15531723.nullCount.shardId < stats#15531723.numRecords) AND ((stats#15531723.minValues.shardId <= 0_1_10000000246) AND (0_1_10000000246 <= stats#15531723.maxValues.shardId))) AND (stats#15531723.nullCount.product < stats#15531723.numRecords)) AND (stats#15531723.nullCount.plant < stats#15531723.numRecords)) OR ((((((isnull(stats#15531723.maxValues.shardId) AND NOT (stats#15531723.nullCount.shardId = stats#15531723.numRecords)) OR isnull(stats#15531723.nullCount.shardId)) OR isnull(stats#15531723.numRecords)) OR isnull(stats#15531723.nullCount.plant)) OR (isnull(stats#15531723.minValues.shardId) AND NOT (stats#15531723.nullCount.shardId = stats#15531723.numRecords))) OR isnull(stats#15531723.nullCount.product))))) false else UDF(knownnotnull((((((stats#15531723.nullCount.shardId < stats#15531723.numRecords) AND ((stats#15531723.minValues.shardId <= 0_1_10000000246) AND (0_1_10000000246 <= stats#15531723.maxValues.shardId))) AND (stats#15531723.nullCount.product < stats#15531723.numRecords)) AND (stats#15531723.nullCount.plant < stats#15531723.numRecords)) OR ((((((isnull(stats#15531723.maxValues.shardId) AND NOT (stats#15531723.nullCount.shardId = stats#15531723.numRecords)) OR isnull(stats#15531723.nullCount.shardId)) OR isnull(stats#15531723.numRecords)) OR isnull(stats#15531723.nullCount.plant)) OR (isnull(stats#15531723.minValues.shardId) AND NOT (stats#15531723.nullCount.shardId = stats#15531723.numRecords))) OR isnull(stats#15531723.nullCount.product)))), size#15531714L, (stats#15531723.numRecords - coalesce(deletionVector#15531719.cardinality, 0)), stats#15531723.numRecords))

(3) Project [codegen id : 1]
Output [11]: [path#15531712, partitionValues#15531713, size#15531714L, modificationTime#15531715L, dataChange#15531716, null AS stats#15542971, tags#15531718, deletionVector#15531719, baseRowId#15531720L, defaultRowCommitVersion#15531721L, clusteringProvider#15531722]
Input [11]: [path#15531712, partitionValues#15531713, size#15531714L, modificationTime#15531715L, dataChange#15531716, stats#15531723, tags#15531718, deletionVector#15531719, baseRowId#15531720L, defaultRowCommitVersion#15531721L, clusteringProvider#15531722]

SQL / DataFrame Properties

Name	Value
spark.activity.hdlfsEnabled	true
spark.activity.isolateSession	true
spark.databricks.delta.lastCommitVersionInSession	19
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	e5fdafdc-b3a3-3e6a-9405-7ca532c397b3
temporal.activity.type	RunStreamWithId