crp-order-quantity-kpi-service - Details for Query 73871

Submitted Time: 2026/05/22 11:31:31
Duration: 0.2 s
Succeeded Jobs: 117583

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))\n182 ms (0 ms, 0 ms, 60 ms (stage 322663.0: task 4757820))"; tooltip="WholeStageCodegen (1)"; 1 [id="node1" labelType="html" label=" Project " tooltip="Project [path#15734610, partitionValues#15734611, size#15734612L, modificationTime#15734613L, dataChange#15734614, null AS stats#15777559, tags#15734616, deletionVector#15734617, baseRowId#15734618L, defaultRowCommitVersion#15734619L, clusteringProvider#15734620]"]; 2 [id="node2" labelType="html" label="Filter number of output rows: 5" tooltip="Filter ((UDF(true, size#15734612L, (stats#15734621.numRecords - coalesce(deletionVector#15734617.cardinality, 0)), stats#15734621.numRecords) AND UDF(true, size#15734612L, (stats#15734621.numRecords - coalesce(deletionVector#15734617.cardinality, 0)), stats#15734621.numRecords)) AND if (isnull((((((stats#15734621.nullCount.shardId < stats#15734621.numRecords) AND ((stats#15734621.minValues.shardId <= 0_1_10000000247) AND (0_1_10000000247 <= stats#15734621.maxValues.shardId))) AND (stats#15734621.nullCount.product < stats#15734621.numRecords)) AND (stats#15734621.nullCount.plant < stats#15734621.numRecords)) OR ((((((isnull(stats#15734621.maxValues.shardId) AND NOT (stats#15734621.nullCount.shardId = stats#15734621.numRecords)) OR isnull(stats#15734621.nullCount.shardId)) OR isnull(stats#15734621.numRecords)) OR isnull(stats#15734621.nullCount.plant)) OR (isnull(stats#15734621.minValues.shardId) AND NOT (stats#15734621.nullCount.shardId = stats#15734621.numRecords))) OR isnull(stats#15734621.nullCount.product))))) false else UDF(knownnotnull((((((stats#15734621.nullCount.shardId < stats#15734621.numRecords) AND ((stats#15734621.minValues.shardId <= 0_1_10000000247) AND (0_1_10000000247 <= stats#15734621.maxValues.shardId))) AND (stats#15734621.nullCount.product < stats#15734621.numRecords)) AND (stats#15734621.nullCount.plant < stats#15734621.numRecords)) OR ((((((isnull(stats#15734621.maxValues.shardId) AND NOT (stats#15734621.nullCount.shardId = stats#15734621.numRecords)) OR isnull(stats#15734621.nullCount.shardId)) OR isnull(stats#15734621.numRecords)) OR isnull(stats#15734621.nullCount.plant)) OR (isnull(stats#15734621.minValues.shardId) AND NOT (stats#15734621.nullCount.shardId = stats#15734621.numRecords))) OR isnull(stats#15734621.nullCount.product)))), size#15734612L, (stats#15734621.numRecords - coalesce(deletionVector#15734617.cardinality, 0)), stats#15734621.numRecords))"]; 3 [id="node3" labelType="html" label="Scan ExistingRDD Delta Table State with Stats #5 - hdlfs://332d7051-0d16-44f5-ae76-bf2dcf30365f.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-qty-opt-service/out/order-proposal-quantities/10000000247/stream-10000000247-1/shardId=0_1_10000000247/_delta_log number of output rows: 5" tooltip="Scan ExistingRDD Delta Table State with Stats #5 - hdlfs://332d7051-0d16-44f5-ae76-bf2dcf30365f.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-qty-opt-service/out/order-proposal-quantities/10000000247/stream-10000000247-1/shardId=0_1_10000000247/_delta_log[path#15734610,partitionValues#15734611,size#15734612L,modificationTime#15734613L,dataChange#15734614,stats#15734621,tags#15734616,deletionVector#15734617,baseRowId#15734618L,defaultRowCommitVersion#15734619L,clusteringProvider#15734620]"]; } 2->1; 3->2; }

Details

== Physical Plan ==
* Project (3)
+- * Filter (2)
   +- * Scan ExistingRDD Delta Table State with Stats #5 - hdlfs://332d7051-0d16-44f5-ae76-bf2dcf30365f.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-qty-opt-service/out/order-proposal-quantities/10000000247/stream-10000000247-1/shardId=0_1_10000000247/_delta_log (1)


(1) Scan ExistingRDD Delta Table State with Stats #5 - hdlfs://332d7051-0d16-44f5-ae76-bf2dcf30365f.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-qty-opt-service/out/order-proposal-quantities/10000000247/stream-10000000247-1/shardId=0_1_10000000247/_delta_log [codegen id : 1]
Output [11]: [path#15734610, partitionValues#15734611, size#15734612L, modificationTime#15734613L, dataChange#15734614, stats#15734621, tags#15734616, deletionVector#15734617, baseRowId#15734618L, defaultRowCommitVersion#15734619L, clusteringProvider#15734620]
Arguments: [path#15734610, partitionValues#15734611, size#15734612L, modificationTime#15734613L, dataChange#15734614, stats#15734621, tags#15734616, deletionVector#15734617, baseRowId#15734618L, defaultRowCommitVersion#15734619L, clusteringProvider#15734620], Delta Table State with Stats #5 - hdlfs://332d7051-0d16-44f5-ae76-bf2dcf30365f.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-qty-opt-service/out/order-proposal-quantities/10000000247/stream-10000000247-1/shardId=0_1_10000000247/_delta_log MapPartitionsRDD[900502] at start at FileStorageAdapterImpl.java:174, ExistingRDD, UnknownPartitioning(0)

(2) Filter [codegen id : 1]
Input [11]: [path#15734610, partitionValues#15734611, size#15734612L, modificationTime#15734613L, dataChange#15734614, stats#15734621, tags#15734616, deletionVector#15734617, baseRowId#15734618L, defaultRowCommitVersion#15734619L, clusteringProvider#15734620]
Condition : ((UDF(true, size#15734612L, (stats#15734621.numRecords - coalesce(deletionVector#15734617.cardinality, 0)), stats#15734621.numRecords) AND UDF(true, size#15734612L, (stats#15734621.numRecords - coalesce(deletionVector#15734617.cardinality, 0)), stats#15734621.numRecords)) AND if (isnull((((((stats#15734621.nullCount.shardId < stats#15734621.numRecords) AND ((stats#15734621.minValues.shardId <= 0_1_10000000247) AND (0_1_10000000247 <= stats#15734621.maxValues.shardId))) AND (stats#15734621.nullCount.product < stats#15734621.numRecords)) AND (stats#15734621.nullCount.plant < stats#15734621.numRecords)) OR ((((((isnull(stats#15734621.maxValues.shardId) AND NOT (stats#15734621.nullCount.shardId = stats#15734621.numRecords)) OR isnull(stats#15734621.nullCount.shardId)) OR isnull(stats#15734621.numRecords)) OR isnull(stats#15734621.nullCount.plant)) OR (isnull(stats#15734621.minValues.shardId) AND NOT (stats#15734621.nullCount.shardId = stats#15734621.numRecords))) OR isnull(stats#15734621.nullCount.product))))) false else UDF(knownnotnull((((((stats#15734621.nullCount.shardId < stats#15734621.numRecords) AND ((stats#15734621.minValues.shardId <= 0_1_10000000247) AND (0_1_10000000247 <= stats#15734621.maxValues.shardId))) AND (stats#15734621.nullCount.product < stats#15734621.numRecords)) AND (stats#15734621.nullCount.plant < stats#15734621.numRecords)) OR ((((((isnull(stats#15734621.maxValues.shardId) AND NOT (stats#15734621.nullCount.shardId = stats#15734621.numRecords)) OR isnull(stats#15734621.nullCount.shardId)) OR isnull(stats#15734621.numRecords)) OR isnull(stats#15734621.nullCount.plant)) OR (isnull(stats#15734621.minValues.shardId) AND NOT (stats#15734621.nullCount.shardId = stats#15734621.numRecords))) OR isnull(stats#15734621.nullCount.product)))), size#15734612L, (stats#15734621.numRecords - coalesce(deletionVector#15734617.cardinality, 0)), stats#15734621.numRecords))

(3) Project [codegen id : 1]
Output [11]: [path#15734610, partitionValues#15734611, size#15734612L, modificationTime#15734613L, dataChange#15734614, null AS stats#15777559, tags#15734616, deletionVector#15734617, baseRowId#15734618L, defaultRowCommitVersion#15734619L, clusteringProvider#15734620]
Input [11]: [path#15734610, partitionValues#15734611, size#15734612L, modificationTime#15734613L, dataChange#15734614, stats#15734621, tags#15734616, deletionVector#15734617, baseRowId#15734618L, defaultRowCommitVersion#15734619L, clusteringProvider#15734620]

SQL / DataFrame Properties

Name	Value
spark.activity.hdlfsEnabled	true
spark.activity.isolateSession	true
spark.databricks.delta.lastCommitVersionInSession	33
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	2beba7b2-c556-34f9-b4c2-84f9fccb8d6e
temporal.activity.type	RunStreamWithId