crp-order-quantity-kpi-service - Details for Query 41089

Submitted Time: 2026/09/01 14:09:00
Duration: 0.1 s
Succeeded Jobs: 66456

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))\n73 ms (1 ms, 1 ms, 4 ms (stage 241371.0: task 2849009))"; tooltip="WholeStageCodegen (1)"; 1 [id="node1" labelType="html" label=" Project " tooltip="Project [path#8709489, partitionValues#8709490, size#8709491L, modificationTime#8709492L, dataChange#8709493, null AS stats#8710198, tags#8709495, deletionVector#8709496, baseRowId#8709497L, defaultRowCommitVersion#8709498L, clusteringProvider#8709499]"]; 2 [id="node2" labelType="html" label="Filter number of output rows: 450" tooltip="Filter ((UDF(true, size#8709491L, (stats#8709500.numRecords - coalesce(deletionVector#8709496.cardinality, 0)), stats#8709500.numRecords) AND UDF(true, size#8709491L, (stats#8709500.numRecords - coalesce(deletionVector#8709496.cardinality, 0)), stats#8709500.numRecords)) AND if (isnull((((((stats#8709500.nullCount.shardId < stats#8709500.numRecords) AND ((stats#8709500.minValues.shardId <= 0_4_10000000540) AND (0_4_10000000540 <= stats#8709500.maxValues.shardId))) AND (stats#8709500.nullCount.product < stats#8709500.numRecords)) AND (stats#8709500.nullCount.plant < stats#8709500.numRecords)) OR ((((((isnull(stats#8709500.maxValues.shardId) AND NOT (stats#8709500.nullCount.shardId = stats#8709500.numRecords)) OR isnull(stats#8709500.nullCount.shardId)) OR isnull(stats#8709500.numRecords)) OR isnull(stats#8709500.nullCount.plant)) OR (isnull(stats#8709500.minValues.shardId) AND NOT (stats#8709500.nullCount.shardId = stats#8709500.numRecords))) OR isnull(stats#8709500.nullCount.product))))) false else UDF(knownnotnull((((((stats#8709500.nullCount.shardId < stats#8709500.numRecords) AND ((stats#8709500.minValues.shardId <= 0_4_10000000540) AND (0_4_10000000540 <= stats#8709500.maxValues.shardId))) AND (stats#8709500.nullCount.product < stats#8709500.numRecords)) AND (stats#8709500.nullCount.plant < stats#8709500.numRecords)) OR ((((((isnull(stats#8709500.maxValues.shardId) AND NOT (stats#8709500.nullCount.shardId = stats#8709500.numRecords)) OR isnull(stats#8709500.nullCount.shardId)) OR isnull(stats#8709500.numRecords)) OR isnull(stats#8709500.nullCount.plant)) OR (isnull(stats#8709500.minValues.shardId) AND NOT (stats#8709500.nullCount.shardId = stats#8709500.numRecords))) OR isnull(stats#8709500.nullCount.product)))), size#8709491L, (stats#8709500.numRecords - coalesce(deletionVector#8709496.cardinality, 0)), stats#8709500.numRecords))"]; 3 [id="node3" labelType="html" label="Scan ExistingRDD Delta Table State with Stats #15 - 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: 450" tooltip="Scan ExistingRDD Delta Table State with Stats #15 - 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#8709489,partitionValues#8709490,size#8709491L,modificationTime#8709492L,dataChange#8709493,stats#8709500,tags#8709495,deletionVector#8709496,baseRowId#8709497L,defaultRowCommitVersion#8709498L,clusteringProvider#8709499]"]; } 2->1; 3->2; }

Details

== Physical Plan ==
* Project (3)
+- * Filter (2)
   +- * Scan ExistingRDD Delta Table State with Stats #15 - 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 #15 - 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#8709489, partitionValues#8709490, size#8709491L, modificationTime#8709492L, dataChange#8709493, stats#8709500, tags#8709495, deletionVector#8709496, baseRowId#8709497L, defaultRowCommitVersion#8709498L, clusteringProvider#8709499]
Arguments: [path#8709489, partitionValues#8709490, size#8709491L, modificationTime#8709492L, dataChange#8709493, stats#8709500, tags#8709495, deletionVector#8709496, baseRowId#8709497L, defaultRowCommitVersion#8709498L, clusteringProvider#8709499], Delta Table State with Stats #15 - 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[540096] at start at FileStorageAdapterImpl.java:179, ExistingRDD, UnknownPartitioning(0)

(2) Filter [codegen id : 1]
Input [11]: [path#8709489, partitionValues#8709490, size#8709491L, modificationTime#8709492L, dataChange#8709493, stats#8709500, tags#8709495, deletionVector#8709496, baseRowId#8709497L, defaultRowCommitVersion#8709498L, clusteringProvider#8709499]
Condition : ((UDF(true, size#8709491L, (stats#8709500.numRecords - coalesce(deletionVector#8709496.cardinality, 0)), stats#8709500.numRecords) AND UDF(true, size#8709491L, (stats#8709500.numRecords - coalesce(deletionVector#8709496.cardinality, 0)), stats#8709500.numRecords)) AND if (isnull((((((stats#8709500.nullCount.shardId < stats#8709500.numRecords) AND ((stats#8709500.minValues.shardId <= 0_4_10000000540) AND (0_4_10000000540 <= stats#8709500.maxValues.shardId))) AND (stats#8709500.nullCount.product < stats#8709500.numRecords)) AND (stats#8709500.nullCount.plant < stats#8709500.numRecords)) OR ((((((isnull(stats#8709500.maxValues.shardId) AND NOT (stats#8709500.nullCount.shardId = stats#8709500.numRecords)) OR isnull(stats#8709500.nullCount.shardId)) OR isnull(stats#8709500.numRecords)) OR isnull(stats#8709500.nullCount.plant)) OR (isnull(stats#8709500.minValues.shardId) AND NOT (stats#8709500.nullCount.shardId = stats#8709500.numRecords))) OR isnull(stats#8709500.nullCount.product))))) false else UDF(knownnotnull((((((stats#8709500.nullCount.shardId < stats#8709500.numRecords) AND ((stats#8709500.minValues.shardId <= 0_4_10000000540) AND (0_4_10000000540 <= stats#8709500.maxValues.shardId))) AND (stats#8709500.nullCount.product < stats#8709500.numRecords)) AND (stats#8709500.nullCount.plant < stats#8709500.numRecords)) OR ((((((isnull(stats#8709500.maxValues.shardId) AND NOT (stats#8709500.nullCount.shardId = stats#8709500.numRecords)) OR isnull(stats#8709500.nullCount.shardId)) OR isnull(stats#8709500.numRecords)) OR isnull(stats#8709500.nullCount.plant)) OR (isnull(stats#8709500.minValues.shardId) AND NOT (stats#8709500.nullCount.shardId = stats#8709500.numRecords))) OR isnull(stats#8709500.nullCount.product)))), size#8709491L, (stats#8709500.numRecords - coalesce(deletionVector#8709496.cardinality, 0)), stats#8709500.numRecords))

(3) Project [codegen id : 1]
Output [11]: [path#8709489, partitionValues#8709490, size#8709491L, modificationTime#8709492L, dataChange#8709493, null AS stats#8710198, tags#8709495, deletionVector#8709496, baseRowId#8709497L, defaultRowCommitVersion#8709498L, clusteringProvider#8709499]
Input [11]: [path#8709489, partitionValues#8709490, size#8709491L, modificationTime#8709492L, dataChange#8709493, stats#8709500, tags#8709495, deletionVector#8709496, baseRowId#8709497L, defaultRowCommitVersion#8709498L, clusteringProvider#8709499]

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	29
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