crp-order-quantity-kpi-service - Details for Query 41130

Submitted Time: 2026/09/01 14:15:41
Duration: 0.7 s
Succeeded Jobs: 66495

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))\n701 ms (1 ms, 1 ms, 67 ms (stage 241564.0: task 2851607))"; tooltip="WholeStageCodegen (1)"; 1 [id="node1" labelType="html" label=" Project " tooltip="Project [path#8718013, partitionValues#8718014, size#8718015L, modificationTime#8718016L, dataChange#8718017, null AS stats#8718067, tags#8718019, deletionVector#8718020, baseRowId#8718021L, defaultRowCommitVersion#8718022L, clusteringProvider#8718023]"]; 2 [id="node2" labelType="html" label="Filter number of output rows: 480" tooltip="Filter ((UDF(true, size#8718015L, (stats#8718024.numRecords - coalesce(deletionVector#8718020.cardinality, 0)), stats#8718024.numRecords) AND UDF(true, size#8718015L, (stats#8718024.numRecords - coalesce(deletionVector#8718020.cardinality, 0)), stats#8718024.numRecords)) AND if (isnull((((((stats#8718024.nullCount.shardId < stats#8718024.numRecords) AND ((stats#8718024.minValues.shardId <= 0_4_10000000540) AND (0_4_10000000540 <= stats#8718024.maxValues.shardId))) AND (stats#8718024.nullCount.product < stats#8718024.numRecords)) AND (stats#8718024.nullCount.plant < stats#8718024.numRecords)) OR ((((((isnull(stats#8718024.maxValues.shardId) AND NOT (stats#8718024.nullCount.shardId = stats#8718024.numRecords)) OR isnull(stats#8718024.nullCount.shardId)) OR isnull(stats#8718024.numRecords)) OR isnull(stats#8718024.nullCount.plant)) OR (isnull(stats#8718024.minValues.shardId) AND NOT (stats#8718024.nullCount.shardId = stats#8718024.numRecords))) OR isnull(stats#8718024.nullCount.product))))) false else UDF(knownnotnull((((((stats#8718024.nullCount.shardId < stats#8718024.numRecords) AND ((stats#8718024.minValues.shardId <= 0_4_10000000540) AND (0_4_10000000540 <= stats#8718024.maxValues.shardId))) AND (stats#8718024.nullCount.product < stats#8718024.numRecords)) AND (stats#8718024.nullCount.plant < stats#8718024.numRecords)) OR ((((((isnull(stats#8718024.maxValues.shardId) AND NOT (stats#8718024.nullCount.shardId = stats#8718024.numRecords)) OR isnull(stats#8718024.nullCount.shardId)) OR isnull(stats#8718024.numRecords)) OR isnull(stats#8718024.nullCount.plant)) OR (isnull(stats#8718024.minValues.shardId) AND NOT (stats#8718024.nullCount.shardId = stats#8718024.numRecords))) OR isnull(stats#8718024.nullCount.product)))), size#8718015L, (stats#8718024.numRecords - coalesce(deletionVector#8718020.cardinality, 0)), stats#8718024.numRecords))"]; 3 [id="node3" labelType="html" label="Scan ExistingRDD Delta Table State with Stats #16 - 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_4_10000000540/_delta_log number of output rows: 480" tooltip="Scan ExistingRDD Delta Table State with Stats #16 - 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_4_10000000540/_delta_log[path#8718013,partitionValues#8718014,size#8718015L,modificationTime#8718016L,dataChange#8718017,stats#8718024,tags#8718019,deletionVector#8718020,baseRowId#8718021L,defaultRowCommitVersion#8718022L,clusteringProvider#8718023]"]; } 2->1; 3->2; }

Details

== Physical Plan ==
* Project (3)
+- * Filter (2)
   +- * Scan ExistingRDD Delta Table State with Stats #16 - 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_4_10000000540/_delta_log (1)


(1) Scan ExistingRDD Delta Table State with Stats #16 - 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_4_10000000540/_delta_log [codegen id : 1]
Output [11]: [path#8718013, partitionValues#8718014, size#8718015L, modificationTime#8718016L, dataChange#8718017, stats#8718024, tags#8718019, deletionVector#8718020, baseRowId#8718021L, defaultRowCommitVersion#8718022L, clusteringProvider#8718023]
Arguments: [path#8718013, partitionValues#8718014, size#8718015L, modificationTime#8718016L, dataChange#8718017, stats#8718024, tags#8718019, deletionVector#8718020, baseRowId#8718021L, defaultRowCommitVersion#8718022L, clusteringProvider#8718023], Delta Table State with Stats #16 - 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_4_10000000540/_delta_log MapPartitionsRDD[540652] at start at FileStorageAdapterImpl.java:179, ExistingRDD, UnknownPartitioning(0)

(2) Filter [codegen id : 1]
Input [11]: [path#8718013, partitionValues#8718014, size#8718015L, modificationTime#8718016L, dataChange#8718017, stats#8718024, tags#8718019, deletionVector#8718020, baseRowId#8718021L, defaultRowCommitVersion#8718022L, clusteringProvider#8718023]
Condition : ((UDF(true, size#8718015L, (stats#8718024.numRecords - coalesce(deletionVector#8718020.cardinality, 0)), stats#8718024.numRecords) AND UDF(true, size#8718015L, (stats#8718024.numRecords - coalesce(deletionVector#8718020.cardinality, 0)), stats#8718024.numRecords)) AND if (isnull((((((stats#8718024.nullCount.shardId < stats#8718024.numRecords) AND ((stats#8718024.minValues.shardId <= 0_4_10000000540) AND (0_4_10000000540 <= stats#8718024.maxValues.shardId))) AND (stats#8718024.nullCount.product < stats#8718024.numRecords)) AND (stats#8718024.nullCount.plant < stats#8718024.numRecords)) OR ((((((isnull(stats#8718024.maxValues.shardId) AND NOT (stats#8718024.nullCount.shardId = stats#8718024.numRecords)) OR isnull(stats#8718024.nullCount.shardId)) OR isnull(stats#8718024.numRecords)) OR isnull(stats#8718024.nullCount.plant)) OR (isnull(stats#8718024.minValues.shardId) AND NOT (stats#8718024.nullCount.shardId = stats#8718024.numRecords))) OR isnull(stats#8718024.nullCount.product))))) false else UDF(knownnotnull((((((stats#8718024.nullCount.shardId < stats#8718024.numRecords) AND ((stats#8718024.minValues.shardId <= 0_4_10000000540) AND (0_4_10000000540 <= stats#8718024.maxValues.shardId))) AND (stats#8718024.nullCount.product < stats#8718024.numRecords)) AND (stats#8718024.nullCount.plant < stats#8718024.numRecords)) OR ((((((isnull(stats#8718024.maxValues.shardId) AND NOT (stats#8718024.nullCount.shardId = stats#8718024.numRecords)) OR isnull(stats#8718024.nullCount.shardId)) OR isnull(stats#8718024.numRecords)) OR isnull(stats#8718024.nullCount.plant)) OR (isnull(stats#8718024.minValues.shardId) AND NOT (stats#8718024.nullCount.shardId = stats#8718024.numRecords))) OR isnull(stats#8718024.nullCount.product)))), size#8718015L, (stats#8718024.numRecords - coalesce(deletionVector#8718020.cardinality, 0)), stats#8718024.numRecords))

(3) Project [codegen id : 1]
Output [11]: [path#8718013, partitionValues#8718014, size#8718015L, modificationTime#8718016L, dataChange#8718017, null AS stats#8718067, tags#8718019, deletionVector#8718020, baseRowId#8718021L, defaultRowCommitVersion#8718022L, clusteringProvider#8718023]
Input [11]: [path#8718013, partitionValues#8718014, size#8718015L, modificationTime#8718016L, dataChange#8718017, stats#8718024, tags#8718019, deletionVector#8718020, baseRowId#8718021L, defaultRowCommitVersion#8718022L, clusteringProvider#8718023]

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	31
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