crp-order-quantity-kpi-service - Details for Query 32463

Submitted Time: 2026/08/31 14:36:49
Duration: 0.1 s
Succeeded Jobs: 52808

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))\n59 ms (1 ms, 1 ms, 3 ms (stage 191283.0: task 2251413))"; tooltip="WholeStageCodegen (1)"; 1 [id="node1" labelType="html" label=" Project " tooltip="Project [path#6876463, partitionValues#6876464, size#6876465L, modificationTime#6876466L, dataChange#6876467, null AS stats#6877172, tags#6876469, deletionVector#6876470, baseRowId#6876471L, defaultRowCommitVersion#6876472L, clusteringProvider#6876473]"]; 2 [id="node2" labelType="html" label="Filter number of output rows: 300" tooltip="Filter ((UDF(true, size#6876465L, (stats#6876474.numRecords - coalesce(deletionVector#6876470.cardinality, 0)), stats#6876474.numRecords) AND UDF(true, size#6876465L, (stats#6876474.numRecords - coalesce(deletionVector#6876470.cardinality, 0)), stats#6876474.numRecords)) AND if (isnull((((((stats#6876474.nullCount.shardId < stats#6876474.numRecords) AND ((stats#6876474.minValues.shardId <= 0_5_10000000532) AND (0_5_10000000532 <= stats#6876474.maxValues.shardId))) AND (stats#6876474.nullCount.product < stats#6876474.numRecords)) AND (stats#6876474.nullCount.plant < stats#6876474.numRecords)) OR ((((((isnull(stats#6876474.maxValues.shardId) AND NOT (stats#6876474.nullCount.shardId = stats#6876474.numRecords)) OR isnull(stats#6876474.nullCount.shardId)) OR isnull(stats#6876474.numRecords)) OR isnull(stats#6876474.nullCount.plant)) OR (isnull(stats#6876474.minValues.shardId) AND NOT (stats#6876474.nullCount.shardId = stats#6876474.numRecords))) OR isnull(stats#6876474.nullCount.product))))) false else UDF(knownnotnull((((((stats#6876474.nullCount.shardId < stats#6876474.numRecords) AND ((stats#6876474.minValues.shardId <= 0_5_10000000532) AND (0_5_10000000532 <= stats#6876474.maxValues.shardId))) AND (stats#6876474.nullCount.product < stats#6876474.numRecords)) AND (stats#6876474.nullCount.plant < stats#6876474.numRecords)) OR ((((((isnull(stats#6876474.maxValues.shardId) AND NOT (stats#6876474.nullCount.shardId = stats#6876474.numRecords)) OR isnull(stats#6876474.nullCount.shardId)) OR isnull(stats#6876474.numRecords)) OR isnull(stats#6876474.nullCount.plant)) OR (isnull(stats#6876474.minValues.shardId) AND NOT (stats#6876474.nullCount.shardId = stats#6876474.numRecords))) OR isnull(stats#6876474.nullCount.product)))), size#6876465L, (stats#6876474.numRecords - coalesce(deletionVector#6876470.cardinality, 0)), stats#6876474.numRecords))"]; 3 [id="node3" labelType="html" label="Scan ExistingRDD Delta Table State with Stats #10 - hdlfs://7da5304c-1f57-47fa-b75a-0f0b4349c280.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-qty-opt-service/out/order-proposal-quantities/10000000532/stream-10000000532-2/shardId=0_5_10000000532/_delta_log number of output rows: 300" tooltip="Scan ExistingRDD Delta Table State with Stats #10 - hdlfs://7da5304c-1f57-47fa-b75a-0f0b4349c280.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-qty-opt-service/out/order-proposal-quantities/10000000532/stream-10000000532-2/shardId=0_5_10000000532/_delta_log[path#6876463,partitionValues#6876464,size#6876465L,modificationTime#6876466L,dataChange#6876467,stats#6876474,tags#6876469,deletionVector#6876470,baseRowId#6876471L,defaultRowCommitVersion#6876472L,clusteringProvider#6876473]"]; } 2->1; 3->2; }

Details

== Physical Plan ==
* Project (3)
+- * Filter (2)
   +- * Scan ExistingRDD Delta Table State with Stats #10 - hdlfs://7da5304c-1f57-47fa-b75a-0f0b4349c280.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-qty-opt-service/out/order-proposal-quantities/10000000532/stream-10000000532-2/shardId=0_5_10000000532/_delta_log (1)


(1) Scan ExistingRDD Delta Table State with Stats #10 - hdlfs://7da5304c-1f57-47fa-b75a-0f0b4349c280.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-qty-opt-service/out/order-proposal-quantities/10000000532/stream-10000000532-2/shardId=0_5_10000000532/_delta_log [codegen id : 1]
Output [11]: [path#6876463, partitionValues#6876464, size#6876465L, modificationTime#6876466L, dataChange#6876467, stats#6876474, tags#6876469, deletionVector#6876470, baseRowId#6876471L, defaultRowCommitVersion#6876472L, clusteringProvider#6876473]
Arguments: [path#6876463, partitionValues#6876464, size#6876465L, modificationTime#6876466L, dataChange#6876467, stats#6876474, tags#6876469, deletionVector#6876470, baseRowId#6876471L, defaultRowCommitVersion#6876472L, clusteringProvider#6876473], Delta Table State with Stats #10 - hdlfs://7da5304c-1f57-47fa-b75a-0f0b4349c280.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-qty-opt-service/out/order-proposal-quantities/10000000532/stream-10000000532-2/shardId=0_5_10000000532/_delta_log MapPartitionsRDD[426331] at start at FileStorageAdapterImpl.java:179, ExistingRDD, UnknownPartitioning(0)

(2) Filter [codegen id : 1]
Input [11]: [path#6876463, partitionValues#6876464, size#6876465L, modificationTime#6876466L, dataChange#6876467, stats#6876474, tags#6876469, deletionVector#6876470, baseRowId#6876471L, defaultRowCommitVersion#6876472L, clusteringProvider#6876473]
Condition : ((UDF(true, size#6876465L, (stats#6876474.numRecords - coalesce(deletionVector#6876470.cardinality, 0)), stats#6876474.numRecords) AND UDF(true, size#6876465L, (stats#6876474.numRecords - coalesce(deletionVector#6876470.cardinality, 0)), stats#6876474.numRecords)) AND if (isnull((((((stats#6876474.nullCount.shardId < stats#6876474.numRecords) AND ((stats#6876474.minValues.shardId <= 0_5_10000000532) AND (0_5_10000000532 <= stats#6876474.maxValues.shardId))) AND (stats#6876474.nullCount.product < stats#6876474.numRecords)) AND (stats#6876474.nullCount.plant < stats#6876474.numRecords)) OR ((((((isnull(stats#6876474.maxValues.shardId) AND NOT (stats#6876474.nullCount.shardId = stats#6876474.numRecords)) OR isnull(stats#6876474.nullCount.shardId)) OR isnull(stats#6876474.numRecords)) OR isnull(stats#6876474.nullCount.plant)) OR (isnull(stats#6876474.minValues.shardId) AND NOT (stats#6876474.nullCount.shardId = stats#6876474.numRecords))) OR isnull(stats#6876474.nullCount.product))))) false else UDF(knownnotnull((((((stats#6876474.nullCount.shardId < stats#6876474.numRecords) AND ((stats#6876474.minValues.shardId <= 0_5_10000000532) AND (0_5_10000000532 <= stats#6876474.maxValues.shardId))) AND (stats#6876474.nullCount.product < stats#6876474.numRecords)) AND (stats#6876474.nullCount.plant < stats#6876474.numRecords)) OR ((((((isnull(stats#6876474.maxValues.shardId) AND NOT (stats#6876474.nullCount.shardId = stats#6876474.numRecords)) OR isnull(stats#6876474.nullCount.shardId)) OR isnull(stats#6876474.numRecords)) OR isnull(stats#6876474.nullCount.plant)) OR (isnull(stats#6876474.minValues.shardId) AND NOT (stats#6876474.nullCount.shardId = stats#6876474.numRecords))) OR isnull(stats#6876474.nullCount.product)))), size#6876465L, (stats#6876474.numRecords - coalesce(deletionVector#6876470.cardinality, 0)), stats#6876474.numRecords))

(3) Project [codegen id : 1]
Output [11]: [path#6876463, partitionValues#6876464, size#6876465L, modificationTime#6876466L, dataChange#6876467, null AS stats#6877172, tags#6876469, deletionVector#6876470, baseRowId#6876471L, defaultRowCommitVersion#6876472L, clusteringProvider#6876473]
Input [11]: [path#6876463, partitionValues#6876464, size#6876465L, modificationTime#6876466L, dataChange#6876467, stats#6876474, tags#6876469, deletionVector#6876470, baseRowId#6876471L, defaultRowCommitVersion#6876472L, clusteringProvider#6876473]

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	17
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	1eef1f63-5949-3546-947e-48b3f0767870
temporal.activity.type	RunStreamWithId