crp-order-quantity-kpi-service - Details for Query 41069

Submitted Time: 2026/09/01 14:05:37
Duration: 99 ms
Succeeded Jobs: 66436

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))\n64 ms (1 ms, 1 ms, 2 ms (stage 241274.0: task 2847624))"; tooltip="WholeStageCodegen (1)"; 1 [id="node1" labelType="html" label=" Project " tooltip="Project [path#8705388, partitionValues#8705389, size#8705390L, modificationTime#8705391L, dataChange#8705392, null AS stats#8706097, tags#8705394, deletionVector#8705395, baseRowId#8705396L, defaultRowCommitVersion#8705397L, clusteringProvider#8705398]"]; 2 [id="node2" labelType="html" label="Filter number of output rows: 390" tooltip="Filter ((UDF(true, size#8705390L, (stats#8705399.numRecords - coalesce(deletionVector#8705395.cardinality, 0)), stats#8705399.numRecords) AND UDF(true, size#8705390L, (stats#8705399.numRecords - coalesce(deletionVector#8705395.cardinality, 0)), stats#8705399.numRecords)) AND if (isnull((((((stats#8705399.nullCount.shardId < stats#8705399.numRecords) AND ((stats#8705399.minValues.shardId <= 0_3_10000000540) AND (0_3_10000000540 <= stats#8705399.maxValues.shardId))) AND (stats#8705399.nullCount.product < stats#8705399.numRecords)) AND (stats#8705399.nullCount.plant < stats#8705399.numRecords)) OR ((((((isnull(stats#8705399.maxValues.shardId) AND NOT (stats#8705399.nullCount.shardId = stats#8705399.numRecords)) OR isnull(stats#8705399.nullCount.shardId)) OR isnull(stats#8705399.numRecords)) OR isnull(stats#8705399.nullCount.plant)) OR (isnull(stats#8705399.minValues.shardId) AND NOT (stats#8705399.nullCount.shardId = stats#8705399.numRecords))) OR isnull(stats#8705399.nullCount.product))))) false else UDF(knownnotnull((((((stats#8705399.nullCount.shardId < stats#8705399.numRecords) AND ((stats#8705399.minValues.shardId <= 0_3_10000000540) AND (0_3_10000000540 <= stats#8705399.maxValues.shardId))) AND (stats#8705399.nullCount.product < stats#8705399.numRecords)) AND (stats#8705399.nullCount.plant < stats#8705399.numRecords)) OR ((((((isnull(stats#8705399.maxValues.shardId) AND NOT (stats#8705399.nullCount.shardId = stats#8705399.numRecords)) OR isnull(stats#8705399.nullCount.shardId)) OR isnull(stats#8705399.numRecords)) OR isnull(stats#8705399.nullCount.plant)) OR (isnull(stats#8705399.minValues.shardId) AND NOT (stats#8705399.nullCount.shardId = stats#8705399.numRecords))) OR isnull(stats#8705399.nullCount.product)))), size#8705390L, (stats#8705399.numRecords - coalesce(deletionVector#8705395.cardinality, 0)), stats#8705399.numRecords))"]; 3 [id="node3" labelType="html" label="Scan ExistingRDD Delta Table State with Stats #13 - 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: 390" tooltip="Scan ExistingRDD Delta Table State with Stats #13 - 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#8705388,partitionValues#8705389,size#8705390L,modificationTime#8705391L,dataChange#8705392,stats#8705399,tags#8705394,deletionVector#8705395,baseRowId#8705396L,defaultRowCommitVersion#8705397L,clusteringProvider#8705398]"]; } 2->1; 3->2; }

Details

== Physical Plan ==
* Project (3)
+- * Filter (2)
   +- * Scan ExistingRDD Delta Table State with Stats #13 - 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 #13 - 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#8705388, partitionValues#8705389, size#8705390L, modificationTime#8705391L, dataChange#8705392, stats#8705399, tags#8705394, deletionVector#8705395, baseRowId#8705396L, defaultRowCommitVersion#8705397L, clusteringProvider#8705398]
Arguments: [path#8705388, partitionValues#8705389, size#8705390L, modificationTime#8705391L, dataChange#8705392, stats#8705399, tags#8705394, deletionVector#8705395, baseRowId#8705396L, defaultRowCommitVersion#8705397L, clusteringProvider#8705398], Delta Table State with Stats #13 - 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[539831] at start at FileStorageAdapterImpl.java:179, ExistingRDD, UnknownPartitioning(0)

(2) Filter [codegen id : 1]
Input [11]: [path#8705388, partitionValues#8705389, size#8705390L, modificationTime#8705391L, dataChange#8705392, stats#8705399, tags#8705394, deletionVector#8705395, baseRowId#8705396L, defaultRowCommitVersion#8705397L, clusteringProvider#8705398]
Condition : ((UDF(true, size#8705390L, (stats#8705399.numRecords - coalesce(deletionVector#8705395.cardinality, 0)), stats#8705399.numRecords) AND UDF(true, size#8705390L, (stats#8705399.numRecords - coalesce(deletionVector#8705395.cardinality, 0)), stats#8705399.numRecords)) AND if (isnull((((((stats#8705399.nullCount.shardId < stats#8705399.numRecords) AND ((stats#8705399.minValues.shardId <= 0_3_10000000540) AND (0_3_10000000540 <= stats#8705399.maxValues.shardId))) AND (stats#8705399.nullCount.product < stats#8705399.numRecords)) AND (stats#8705399.nullCount.plant < stats#8705399.numRecords)) OR ((((((isnull(stats#8705399.maxValues.shardId) AND NOT (stats#8705399.nullCount.shardId = stats#8705399.numRecords)) OR isnull(stats#8705399.nullCount.shardId)) OR isnull(stats#8705399.numRecords)) OR isnull(stats#8705399.nullCount.plant)) OR (isnull(stats#8705399.minValues.shardId) AND NOT (stats#8705399.nullCount.shardId = stats#8705399.numRecords))) OR isnull(stats#8705399.nullCount.product))))) false else UDF(knownnotnull((((((stats#8705399.nullCount.shardId < stats#8705399.numRecords) AND ((stats#8705399.minValues.shardId <= 0_3_10000000540) AND (0_3_10000000540 <= stats#8705399.maxValues.shardId))) AND (stats#8705399.nullCount.product < stats#8705399.numRecords)) AND (stats#8705399.nullCount.plant < stats#8705399.numRecords)) OR ((((((isnull(stats#8705399.maxValues.shardId) AND NOT (stats#8705399.nullCount.shardId = stats#8705399.numRecords)) OR isnull(stats#8705399.nullCount.shardId)) OR isnull(stats#8705399.numRecords)) OR isnull(stats#8705399.nullCount.plant)) OR (isnull(stats#8705399.minValues.shardId) AND NOT (stats#8705399.nullCount.shardId = stats#8705399.numRecords))) OR isnull(stats#8705399.nullCount.product)))), size#8705390L, (stats#8705399.numRecords - coalesce(deletionVector#8705395.cardinality, 0)), stats#8705399.numRecords))

(3) Project [codegen id : 1]
Output [11]: [path#8705388, partitionValues#8705389, size#8705390L, modificationTime#8705391L, dataChange#8705392, null AS stats#8706097, tags#8705394, deletionVector#8705395, baseRowId#8705396L, defaultRowCommitVersion#8705397L, clusteringProvider#8705398]
Input [11]: [path#8705388, partitionValues#8705389, size#8705390L, modificationTime#8705391L, dataChange#8705392, stats#8705399, tags#8705394, deletionVector#8705395, baseRowId#8705396L, defaultRowCommitVersion#8705397L, clusteringProvider#8705398]

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	28
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