crp-order-quantity-kpi-service - Details for Query 174

Submitted Time: 2026/08/10 08:21:02
Duration: 89 ms
Succeeded Jobs: 324

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))\n1 ms (0 ms, 0 ms, 1 ms (stage 958.0: task 8729))"; tooltip="WholeStageCodegen (1)"; 1 [id="node1" labelType="html" label=" Project " tooltip="Project [path#2264, partitionValues#2265, size#2266L, modificationTime#2267L, dataChange#2268, null AS stats#34481, tags#2270, deletionVector#2271, baseRowId#2272L, defaultRowCommitVersion#2273L, clusteringProvider#2274]"]; 2 [id="node2" labelType="html" label="Filter number of output rows: 1" tooltip="Filter ((UDF(true, size#2266L, (stats#2275.numRecords - coalesce(deletionVector#2271.cardinality, 0)), stats#2275.numRecords) AND UDF(true, size#2266L, (stats#2275.numRecords - coalesce(deletionVector#2271.cardinality, 0)), stats#2275.numRecords)) AND if (isnull(((((stats#2275.nullCount.product < stats#2275.numRecords) AND (stats#2275.nullCount.plant < stats#2275.numRecords)) AND (stats#2275.nullCount.stockDatetime < stats#2275.numRecords)) OR (((isnull(stats#2275.nullCount.product) OR isnull(stats#2275.numRecords)) OR isnull(stats#2275.nullCount.plant)) OR isnull(stats#2275.nullCount.stockDatetime))))) false else UDF(knownnotnull(((((stats#2275.nullCount.product < stats#2275.numRecords) AND (stats#2275.nullCount.plant < stats#2275.numRecords)) AND (stats#2275.nullCount.stockDatetime < stats#2275.numRecords)) OR (((isnull(stats#2275.nullCount.product) OR isnull(stats#2275.numRecords)) OR isnull(stats#2275.nullCount.plant)) OR isnull(stats#2275.nullCount.stockDatetime)))), size#2266L, (stats#2275.numRecords - coalesce(deletionVector#2271.cardinality, 0)), stats#2275.numRecords))"]; 3 [id="node3" labelType="html" label="Scan ExistingRDD Delta Table State with Stats #0 - hdlfs://2e93940d-4be8-4f12-830d-f0b8d392c03a.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-quantity-kpi-service/internal/data-snapshot/10000002105/0_1_10000002105/_delta_log number of output rows: 1" tooltip="Scan ExistingRDD Delta Table State with Stats #0 - hdlfs://2e93940d-4be8-4f12-830d-f0b8d392c03a.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-quantity-kpi-service/internal/data-snapshot/10000002105/0_1_10000002105/_delta_log[path#2264,partitionValues#2265,size#2266L,modificationTime#2267L,dataChange#2268,stats#2275,tags#2270,deletionVector#2271,baseRowId#2272L,defaultRowCommitVersion#2273L,clusteringProvider#2274]"]; } 2->1; 3->2; }

Details

== Physical Plan ==
* Project (3)
+- * Filter (2)
   +- * Scan ExistingRDD Delta Table State with Stats #0 - hdlfs://2e93940d-4be8-4f12-830d-f0b8d392c03a.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-quantity-kpi-service/internal/data-snapshot/10000002105/0_1_10000002105/_delta_log (1)


(1) Scan ExistingRDD Delta Table State with Stats #0 - hdlfs://2e93940d-4be8-4f12-830d-f0b8d392c03a.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-quantity-kpi-service/internal/data-snapshot/10000002105/0_1_10000002105/_delta_log [codegen id : 1]
Output [11]: [path#2264, partitionValues#2265, size#2266L, modificationTime#2267L, dataChange#2268, stats#2275, tags#2270, deletionVector#2271, baseRowId#2272L, defaultRowCommitVersion#2273L, clusteringProvider#2274]
Arguments: [path#2264, partitionValues#2265, size#2266L, modificationTime#2267L, dataChange#2268, stats#2275, tags#2270, deletionVector#2271, baseRowId#2272L, defaultRowCommitVersion#2273L, clusteringProvider#2274], Delta Table State with Stats #0 - hdlfs://2e93940d-4be8-4f12-830d-f0b8d392c03a.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-quantity-kpi-service/internal/data-snapshot/10000002105/0_1_10000002105/_delta_log MapPartitionsRDD[109] at start at FileStorageAdapterImpl.java:177, ExistingRDD, UnknownPartitioning(0)

(2) Filter [codegen id : 1]
Input [11]: [path#2264, partitionValues#2265, size#2266L, modificationTime#2267L, dataChange#2268, stats#2275, tags#2270, deletionVector#2271, baseRowId#2272L, defaultRowCommitVersion#2273L, clusteringProvider#2274]
Condition : ((UDF(true, size#2266L, (stats#2275.numRecords - coalesce(deletionVector#2271.cardinality, 0)), stats#2275.numRecords) AND UDF(true, size#2266L, (stats#2275.numRecords - coalesce(deletionVector#2271.cardinality, 0)), stats#2275.numRecords)) AND if (isnull(((((stats#2275.nullCount.product < stats#2275.numRecords) AND (stats#2275.nullCount.plant < stats#2275.numRecords)) AND (stats#2275.nullCount.stockDatetime < stats#2275.numRecords)) OR (((isnull(stats#2275.nullCount.product) OR isnull(stats#2275.numRecords)) OR isnull(stats#2275.nullCount.plant)) OR isnull(stats#2275.nullCount.stockDatetime))))) false else UDF(knownnotnull(((((stats#2275.nullCount.product < stats#2275.numRecords) AND (stats#2275.nullCount.plant < stats#2275.numRecords)) AND (stats#2275.nullCount.stockDatetime < stats#2275.numRecords)) OR (((isnull(stats#2275.nullCount.product) OR isnull(stats#2275.numRecords)) OR isnull(stats#2275.nullCount.plant)) OR isnull(stats#2275.nullCount.stockDatetime)))), size#2266L, (stats#2275.numRecords - coalesce(deletionVector#2271.cardinality, 0)), stats#2275.numRecords))

(3) Project [codegen id : 1]
Output [11]: [path#2264, partitionValues#2265, size#2266L, modificationTime#2267L, dataChange#2268, null AS stats#34481, tags#2270, deletionVector#2271, baseRowId#2272L, defaultRowCommitVersion#2273L, clusteringProvider#2274]
Input [11]: [path#2264, partitionValues#2265, size#2266L, modificationTime#2267L, dataChange#2268, stats#2275, tags#2270, deletionVector#2271, baseRowId#2272L, defaultRowCommitVersion#2273L, clusteringProvider#2274]

SQL / DataFrame Properties

Name	Value
spark.activity.hdlfsEnabled	true
spark.activity.isolateSession	true
spark.databricks.delta.lastCommitVersionInSession	10
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	20
temporal.activity.id	3961f109-b13f-3cf7-ae84-59fa48c4a71b
temporal.activity.type	RunStreamWithId