crp-order-quantity-kpi-service - Details for Query 63541

Submitted Time: 2026/05/20 05:43:33
Duration: 0.3 s
Succeeded Jobs: 95447

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))\n47 ms (0 ms, 1 ms, 1 ms (stage 274778.0: task 4210566))"; tooltip="WholeStageCodegen (1)"; 1 [id="node1" labelType="html" label=" Project " tooltip="Project [path#13611060, partitionValues#13611061, size#13611062L, modificationTime#13611063L, dataChange#13611064, null AS stats#13611781, tags#13611066, deletionVector#13611067, baseRowId#13611068L, defaultRowCommitVersion#13611069L, clusteringProvider#13611070]"]; 2 [id="node2" labelType="html" label="Filter number of output rows: 120" tooltip="Filter ((UDF(true, size#13611062L, (stats#13611071.numRecords - coalesce(deletionVector#13611067.cardinality, 0)), stats#13611071.numRecords) AND UDF(true, size#13611062L, (stats#13611071.numRecords - coalesce(deletionVector#13611067.cardinality, 0)), stats#13611071.numRecords)) AND if (isnull((((((stats#13611071.nullCount.shardId < stats#13611071.numRecords) AND ((stats#13611071.minValues.shardId <= 0_1_10000000266) AND (0_1_10000000266 <= stats#13611071.maxValues.shardId))) AND (stats#13611071.nullCount.product < stats#13611071.numRecords)) AND (stats#13611071.nullCount.plant < stats#13611071.numRecords)) OR ((((((isnull(stats#13611071.maxValues.shardId) AND NOT (stats#13611071.nullCount.shardId = stats#13611071.numRecords)) OR isnull(stats#13611071.nullCount.shardId)) OR isnull(stats#13611071.numRecords)) OR isnull(stats#13611071.nullCount.plant)) OR (isnull(stats#13611071.minValues.shardId) AND NOT (stats#13611071.nullCount.shardId = stats#13611071.numRecords))) OR isnull(stats#13611071.nullCount.product))))) false else UDF(knownnotnull((((((stats#13611071.nullCount.shardId < stats#13611071.numRecords) AND ((stats#13611071.minValues.shardId <= 0_1_10000000266) AND (0_1_10000000266 <= stats#13611071.maxValues.shardId))) AND (stats#13611071.nullCount.product < stats#13611071.numRecords)) AND (stats#13611071.nullCount.plant < stats#13611071.numRecords)) OR ((((((isnull(stats#13611071.maxValues.shardId) AND NOT (stats#13611071.nullCount.shardId = stats#13611071.numRecords)) OR isnull(stats#13611071.nullCount.shardId)) OR isnull(stats#13611071.numRecords)) OR isnull(stats#13611071.nullCount.plant)) OR (isnull(stats#13611071.minValues.shardId) AND NOT (stats#13611071.nullCount.shardId = stats#13611071.numRecords))) OR isnull(stats#13611071.nullCount.product)))), size#13611062L, (stats#13611071.numRecords - coalesce(deletionVector#13611067.cardinality, 0)), stats#13611071.numRecords))"]; 3 [id="node3" labelType="html" label="Scan ExistingRDD Delta Table State with Stats #4 - hdlfs://25570170-65a4-43d6-a97a-474f9553b696.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-qty-opt-service/out/order-proposal-quantities/10000000266/stream-10000000266-1/shardId=0_1_10000000266/_delta_log number of output rows: 120" tooltip="Scan ExistingRDD Delta Table State with Stats #4 - hdlfs://25570170-65a4-43d6-a97a-474f9553b696.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-qty-opt-service/out/order-proposal-quantities/10000000266/stream-10000000266-1/shardId=0_1_10000000266/_delta_log[path#13611060,partitionValues#13611061,size#13611062L,modificationTime#13611063L,dataChange#13611064,stats#13611071,tags#13611066,deletionVector#13611067,baseRowId#13611068L,defaultRowCommitVersion#13611069L,clusteringProvider#13611070]"]; } 2->1; 3->2; }

Details

== Physical Plan ==
* Project (3)
+- * Filter (2)
   +- * Scan ExistingRDD Delta Table State with Stats #4 - hdlfs://25570170-65a4-43d6-a97a-474f9553b696.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-qty-opt-service/out/order-proposal-quantities/10000000266/stream-10000000266-1/shardId=0_1_10000000266/_delta_log (1)


(1) Scan ExistingRDD Delta Table State with Stats #4 - hdlfs://25570170-65a4-43d6-a97a-474f9553b696.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-qty-opt-service/out/order-proposal-quantities/10000000266/stream-10000000266-1/shardId=0_1_10000000266/_delta_log [codegen id : 1]
Output [11]: [path#13611060, partitionValues#13611061, size#13611062L, modificationTime#13611063L, dataChange#13611064, stats#13611071, tags#13611066, deletionVector#13611067, baseRowId#13611068L, defaultRowCommitVersion#13611069L, clusteringProvider#13611070]
Arguments: [path#13611060, partitionValues#13611061, size#13611062L, modificationTime#13611063L, dataChange#13611064, stats#13611071, tags#13611066, deletionVector#13611067, baseRowId#13611068L, defaultRowCommitVersion#13611069L, clusteringProvider#13611070], Delta Table State with Stats #4 - hdlfs://25570170-65a4-43d6-a97a-474f9553b696.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-qty-opt-service/out/order-proposal-quantities/10000000266/stream-10000000266-1/shardId=0_1_10000000266/_delta_log MapPartitionsRDD[778511] at start at FileStorageAdapterImpl.java:174, ExistingRDD, UnknownPartitioning(0)

(2) Filter [codegen id : 1]
Input [11]: [path#13611060, partitionValues#13611061, size#13611062L, modificationTime#13611063L, dataChange#13611064, stats#13611071, tags#13611066, deletionVector#13611067, baseRowId#13611068L, defaultRowCommitVersion#13611069L, clusteringProvider#13611070]
Condition : ((UDF(true, size#13611062L, (stats#13611071.numRecords - coalesce(deletionVector#13611067.cardinality, 0)), stats#13611071.numRecords) AND UDF(true, size#13611062L, (stats#13611071.numRecords - coalesce(deletionVector#13611067.cardinality, 0)), stats#13611071.numRecords)) AND if (isnull((((((stats#13611071.nullCount.shardId < stats#13611071.numRecords) AND ((stats#13611071.minValues.shardId <= 0_1_10000000266) AND (0_1_10000000266 <= stats#13611071.maxValues.shardId))) AND (stats#13611071.nullCount.product < stats#13611071.numRecords)) AND (stats#13611071.nullCount.plant < stats#13611071.numRecords)) OR ((((((isnull(stats#13611071.maxValues.shardId) AND NOT (stats#13611071.nullCount.shardId = stats#13611071.numRecords)) OR isnull(stats#13611071.nullCount.shardId)) OR isnull(stats#13611071.numRecords)) OR isnull(stats#13611071.nullCount.plant)) OR (isnull(stats#13611071.minValues.shardId) AND NOT (stats#13611071.nullCount.shardId = stats#13611071.numRecords))) OR isnull(stats#13611071.nullCount.product))))) false else UDF(knownnotnull((((((stats#13611071.nullCount.shardId < stats#13611071.numRecords) AND ((stats#13611071.minValues.shardId <= 0_1_10000000266) AND (0_1_10000000266 <= stats#13611071.maxValues.shardId))) AND (stats#13611071.nullCount.product < stats#13611071.numRecords)) AND (stats#13611071.nullCount.plant < stats#13611071.numRecords)) OR ((((((isnull(stats#13611071.maxValues.shardId) AND NOT (stats#13611071.nullCount.shardId = stats#13611071.numRecords)) OR isnull(stats#13611071.nullCount.shardId)) OR isnull(stats#13611071.numRecords)) OR isnull(stats#13611071.nullCount.plant)) OR (isnull(stats#13611071.minValues.shardId) AND NOT (stats#13611071.nullCount.shardId = stats#13611071.numRecords))) OR isnull(stats#13611071.nullCount.product)))), size#13611062L, (stats#13611071.numRecords - coalesce(deletionVector#13611067.cardinality, 0)), stats#13611071.numRecords))

(3) Project [codegen id : 1]
Output [11]: [path#13611060, partitionValues#13611061, size#13611062L, modificationTime#13611063L, dataChange#13611064, null AS stats#13611781, tags#13611066, deletionVector#13611067, baseRowId#13611068L, defaultRowCommitVersion#13611069L, clusteringProvider#13611070]
Input [11]: [path#13611060, partitionValues#13611061, size#13611062L, modificationTime#13611063L, dataChange#13611064, stats#13611071, tags#13611066, deletionVector#13611067, baseRowId#13611068L, defaultRowCommitVersion#13611069L, clusteringProvider#13611070]

SQL / DataFrame Properties

Name	Value
spark.activity.hdlfsEnabled	true
spark.activity.isolateSession	true
spark.databricks.delta.lastCommitVersionInSession	8
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	be8fc0d4-a24f-3eb3-a6d3-dfeb19393496
temporal.activity.type	RunStreamWithId