crp-demand-service - Details for Query 17

Submitted Time: 2026/01/27 05:02:53
Duration: 0.6 s
Succeeded Jobs: 41 42 43 44 45

Show the Stage ID and Task ID that corresponds to the max metric

digraph G { 0 [labelType="html" label=" AdaptiveSparkPlan "]; subgraph cluster1 { isCluster="true"; label="WholeStageCodegen (4)\n \nduration: 0 ms"; 2 [labelType="html" label=" Project "]; 3 [labelType="html" label="Generate number of output rows: 1"]; 4 [labelType="html" label=" Project "]; 5 [labelType="html" label="BroadcastHashJoin number of output rows: 1"]; 12 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 5 ms peak memory: 256.0 KiB number of output rows: 1 number of sort fallback tasks: 0 avg hash probes per key: 0"]; } 6 [labelType="html" label="BroadcastExchange time to broadcast: 0 ms time to build: 7 ms time to collect: 33 ms number of output rows: 10 data size: 64.0 MiB"]; 7 [labelType="html" label="AQEShuffleRead number of partitions: 1"]; 8 [labelType="html" label="Exchange shuffle records written: 10 local merged chunks fetched: 0 shuffle write time total (min, med, max (stageId: taskId)) 8 ms (0 ms, 0 ms, 2 ms (stage 59.0: task 486)) remote merged bytes read: 0.0 B local merged blocks fetched: 0 corrupt merged block chunks: 0 remote merged reqs duration: 0 ms remote merged blocks fetched: 0 records read: 10 local bytes read: 520.0 B fetch wait time: 0 ms remote bytes read: 788.0 B merged fetch fallback count: 0 local blocks read: 4 remote merged chunks fetched: 0 remote blocks read: 6 data size total (min, med, max (stageId: taskId)) 920.0 B (80.0 B, 96.0 B, 104.0 B (stage 59.0: task 478)) local merged bytes read: 0.0 B number of partitions: 37 remote reqs duration: 2 ms remote bytes read to disk: 0.0 B shuffle bytes written total (min, med, max (stageId: taskId)) 1308.0 B (123.0 B, 132.0 B, 136.0 B (stage 59.0: task 482))"]; subgraph cluster9 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: total (min, med, max (stageId: taskId))\n1.2 s (95 ms, 111 ms, 157 ms (stage 59.0: task 483))"; 10 [labelType="html" label="Filter number of output rows: 10"]; 11 [labelType="html" label="Scan ExistingRDD number of output rows: 10"]; } 13 [labelType="html" label="AQEShuffleRead number of partitions: 1 partition data size: 2.4 KiB number of coalesced partitions: 1"]; 14 [labelType="html" label="Exchange shuffle records written: 25 local merged chunks fetched: 0 shuffle write time total (min, med, max (stageId: taskId)) 24 ms (0 ms, 0 ms, 5 ms (stage 63.0: task 494)) remote merged bytes read: 0.0 B local merged blocks fetched: 0 corrupt merged block chunks: 0 remote merged reqs duration: 0 ms remote merged blocks fetched: 0 records read: 25 local bytes read: 736.0 B fetch wait time: 0 ms remote bytes read: 1564.0 B merged fetch fallback count: 0 local blocks read: 8 remote merged chunks fetched: 0 remote blocks read: 17 data size total (min, med, max (stageId: taskId)) 800.0 B (32.0 B, 32.0 B, 32.0 B (stage 63.0: task 500)) local merged bytes read: 0.0 B number of partitions: 37 remote reqs duration: 4 ms remote bytes read to disk: 0.0 B shuffle bytes written total (min, med, max (stageId: taskId)) 2.2 KiB (92.0 B, 92.0 B, 92.0 B (stage 63.0: task 500))"]; subgraph cluster15 { isCluster="true"; label="WholeStageCodegen (3)\n \nduration: total (min, med, max (stageId: taskId))\n2.6 s (84 ms, 107 ms, 121 ms (stage 63.0: task 495))"; 16 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build total (min, med, max (stageId: taskId)) 2.4 s (82 ms, 97 ms, 113 ms (stage 63.0: task 495)) peak memory total (min, med, max (stageId: taskId)) 6.3 MiB (256.0 KiB, 256.0 KiB, 256.0 KiB (stage 63.0: task 500)) number of output rows: 25 number of sort fallback tasks: 0 avg hash probes per key: 0"]; 17 [labelType="html" label=" Project "]; 18 [labelType="html" label="BroadcastHashJoin number of output rows: 1,174"]; 19 [labelType="html" label="ColumnarToRow number of output rows: 1,196 number of input batches: 25"]; } 20 [labelType="html" label="Scan parquet number of files read: 25 scan time total (min, med, max (stageId: taskId)) 2.3 s (81 ms, 97 ms, 112 ms (stage 63.0: task 495)) metadata time: 0 ms size of files read: 83.2 KiB number of output rows: 1,196"]; 21 [labelType="html" label="BroadcastExchange time to broadcast: 1 ms time to build: 19 ms time to collect: 197 ms number of output rows: 1,174 data size: 64.1 MiB"]; subgraph cluster22 { isCluster="true"; label="WholeStageCodegen (2)\n \nduration: 163 ms"; 23 [labelType="html" label="Filter number of output rows: 1,174"]; 24 [labelType="html" label="ColumnarToRow number of output rows: 1,196 number of input batches: 1"]; } 25 [labelType="html" label="Scan parquet number of files read: 1 scan time: 162 ms metadata time: 0 ms size of files read: 8.1 KiB number of output rows: 1,196"]; 2->0; 3->2; 4->3; 5->4; 6->5; 7->6; 8->7; 10->8; 11->10; 12->5; 13->12; 14->13; 16->14; 17->16; 18->17; 19->18; 20->19; 21->18; 23->21; 24->23; 25->24; }

AdaptiveSparkPlan isFinalPlan=true

Project

Generate explode(demandChannels#1740), false, [explodedDemandChannels#1752]

Project [demandChannels#1740]

BroadcastHashJoin [demandProfile#1739], [demandProfile#1588], Inner, BuildLeft, false

HashAggregate(keys=[demandProfile#1588], functions=[])

WholeStageCodegen (4)

BroadcastExchange HashedRelationBroadcastMode(List(input[0, string, false]),false), [plan_id=2380]

AQEShuffleRead local

Exchange hashpartitioning(demandProfile#1739, 37), ENSURE_REQUIREMENTS, [plan_id=2296]

Filter (isnotnull(demandProfile#1739) AND ((size(demandChannels#1740, true) > 0) AND isnotnull(demandChannels#1740)))

Scan ExistingRDD[demandProfile#1739,demandChannels#1740]

WholeStageCodegen (1)

AQEShuffleRead coalesced

Exchange hashpartitioning(demandProfile#1588, 37), ENSURE_REQUIREMENTS, [plan_id=2444]

HashAggregate(keys=[demandProfile#1588], functions=[])

Project [demandProfile#1588]

BroadcastHashJoin [coalesce(plant#1578, ), isnull(plant#1578), coalesce(product#1577, ), isnull(product#1577)], [coalesce(plant#1586, ), isnull(plant#1586), coalesce(product#1585, ), isnull(product#1585)], Inner, BuildRight, false

ColumnarToRow

WholeStageCodegen (3)

FileScan parquet [product#1577,plant#1578] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[hdlfs://2e93940d-4be8-4f12-830d-f0b8d392c03a.files.hdl.prod-eu20.hanac..., PartitionFilters: [], PushedFilters: [], ReadSchema: struct<product:string,plant:string>

BroadcastExchange HashedRelationBroadcastMode(List(coalesce(input[1, string, true], ), isnull(input[1, string, true]), coalesce(input[0, string, true], ), isnull(input[0, string, true])),false), [plan_id=2322]

Filter isnotnull(demandProfile#1588)

ColumnarToRow

WholeStageCodegen (2)

FileScan parquet [product#1585,plant#1586,demandprofile#1588] Batched: true, DataFilters: [isnotnull(demandprofile#1588)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[hdlfs://2e93940d-4be8-4f12-830d-f0b8d392c03a.files.hdl.prod-eu20.hanac..., PartitionFilters: [], PushedFilters: [IsNotNull(demandprofile)], ReadSchema: struct<product:string,plant:string,demandprofile:string>

Details

== Physical Plan ==
AdaptiveSparkPlan (41)
+- == Final Plan ==
   * Project (25)
   +- * Generate (24)
      +- * Project (23)
         +- * BroadcastHashJoin Inner BuildLeft (22)
            :- BroadcastQueryStage (7), Statistics(sizeInBytes=64.0 MiB, rowCount=10)
            :  +- BroadcastExchange (6)
            :     +- AQEShuffleRead (5)
            :        +- ShuffleQueryStage (4), Statistics(sizeInBytes=920.0 B, rowCount=10)
            :           +- Exchange (3)
            :              +- * Filter (2)
            :                 +- * Scan ExistingRDD (1)
            +- * HashAggregate (21)
               +- AQEShuffleRead (20)
                  +- ShuffleQueryStage (19), Statistics(sizeInBytes=800.0 B, rowCount=25)
                     +- Exchange (18)
                        +- * HashAggregate (17)
                           +- * Project (16)
                              +- * BroadcastHashJoin Inner BuildRight (15)
                                 :- * ColumnarToRow (9)
                                 :  +- Scan parquet  (8)
                                 +- BroadcastQueryStage (14), Statistics(sizeInBytes=64.1 MiB, rowCount=1.17E+3)
                                    +- BroadcastExchange (13)
                                       +- * Filter (12)
                                          +- * ColumnarToRow (11)
                                             +- Scan parquet  (10)
+- == Initial Plan ==
   Project (40)
   +- Generate (39)
      +- Project (38)
         +- SortMergeJoin Inner (37)
            :- Sort (27)
            :  +- Exchange (26)
            :     +- Filter (2)
            :        +- Scan ExistingRDD (1)
            +- Sort (36)
               +- HashAggregate (35)
                  +- Exchange (34)
                     +- HashAggregate (33)
                        +- Project (32)
                           +- BroadcastHashJoin Inner BuildRight (31)
                              :- Scan parquet  (28)
                              +- BroadcastExchange (30)
                                 +- Filter (29)
                                    +- Scan parquet  (10)


(1) Scan ExistingRDD [codegen id : 1]
Output [2]: [demandProfile#1739, demandChannels#1740]
Arguments: [demandProfile#1739, demandChannels#1740], MapPartitionsRDD[142] at createDataFrame at DemandProfileDataReaderImpl.java:60, ExistingRDD, UnknownPartitioning(0)

(2) Filter [codegen id : 1]
Input [2]: [demandProfile#1739, demandChannels#1740]
Condition : (isnotnull(demandProfile#1739) AND ((size(demandChannels#1740, true) > 0) AND isnotnull(demandChannels#1740)))

(3) Exchange
Input [2]: [demandProfile#1739, demandChannels#1740]
Arguments: hashpartitioning(demandProfile#1739, 37), ENSURE_REQUIREMENTS, [plan_id=2296]

(4) ShuffleQueryStage
Output [2]: [demandProfile#1739, demandChannels#1740]
Arguments: 0

(5) AQEShuffleRead
Input [2]: [demandProfile#1739, demandChannels#1740]
Arguments: local

(6) BroadcastExchange
Input [2]: [demandProfile#1739, demandChannels#1740]
Arguments: HashedRelationBroadcastMode(List(input[0, string, false]),false), [plan_id=2380]

(7) BroadcastQueryStage
Output [2]: [demandProfile#1739, demandChannels#1740]
Arguments: 2

(8) Scan parquet 
Output [2]: [product#1577, plant#1578]
Batched: true
Location: InMemoryFileIndex [hdlfs://2e93940d-4be8-4f12-830d-f0b8d392c03a.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-qty-opt-service/out/product-plant-list/10000000091/shardId=0_1_10000000091]
ReadSchema: struct<product:string,plant:string>

(9) ColumnarToRow [codegen id : 3]
Input [2]: [product#1577, plant#1578]

(10) Scan parquet 
Output [3]: [product#1585, plant#1586, demandprofile#1588]
Batched: true
Location: InMemoryFileIndex [hdlfs://2e93940d-4be8-4f12-830d-f0b8d392c03a.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-param-determination-service/out/10000000091/0_1_10000000091/demandprofile]
PushedFilters: [IsNotNull(demandprofile)]
ReadSchema: struct<product:string,plant:string,demandprofile:string>

(11) ColumnarToRow [codegen id : 2]
Input [3]: [product#1585, plant#1586, demandprofile#1588]

(12) Filter [codegen id : 2]
Input [3]: [product#1585, plant#1586, demandprofile#1588]
Condition : isnotnull(demandProfile#1588)

(13) BroadcastExchange
Input [3]: [product#1585, plant#1586, demandprofile#1588]
Arguments: HashedRelationBroadcastMode(List(coalesce(input[1, string, true], ), isnull(input[1, string, true]), coalesce(input[0, string, true], ), isnull(input[0, string, true])),false), [plan_id=2322]

(14) BroadcastQueryStage
Output [3]: [product#1585, plant#1586, demandprofile#1588]
Arguments: 1

(15) BroadcastHashJoin [codegen id : 3]
Left keys [4]: [coalesce(plant#1578, ), isnull(plant#1578), coalesce(product#1577, ), isnull(product#1577)]
Right keys [4]: [coalesce(plant#1586, ), isnull(plant#1586), coalesce(product#1585, ), isnull(product#1585)]
Join type: Inner
Join condition: None

(16) Project [codegen id : 3]
Output [1]: [demandProfile#1588]
Input [5]: [product#1577, plant#1578, product#1585, plant#1586, demandprofile#1588]

(17) HashAggregate [codegen id : 3]
Input [1]: [demandProfile#1588]
Keys [1]: [demandProfile#1588]
Functions: []
Aggregate Attributes: []
Results [1]: [demandProfile#1588]

(18) Exchange
Input [1]: [demandProfile#1588]
Arguments: hashpartitioning(demandProfile#1588, 37), ENSURE_REQUIREMENTS, [plan_id=2444]

(19) ShuffleQueryStage
Output [1]: [demandProfile#1588]
Arguments: 3

(20) AQEShuffleRead
Input [1]: [demandProfile#1588]
Arguments: coalesced

(21) HashAggregate
Input [1]: [demandProfile#1588]
Keys [1]: [demandProfile#1588]
Functions: []
Aggregate Attributes: []
Results [1]: [demandProfile#1588]

(22) BroadcastHashJoin [codegen id : 4]
Left keys [1]: [demandProfile#1739]
Right keys [1]: [demandProfile#1588]
Join type: Inner
Join condition: None

(23) Project [codegen id : 4]
Output [1]: [demandChannels#1740]
Input [3]: [demandProfile#1739, demandChannels#1740, demandProfile#1588]

(24) Generate [codegen id : 4]
Input [1]: [demandChannels#1740]
Arguments: explode(demandChannels#1740), false, [explodedDemandChannels#1752]

(25) Project [codegen id : 4]
Output: []
Input [1]: [explodedDemandChannels#1752]

(26) Exchange
Input [2]: [demandProfile#1739, demandChannels#1740]
Arguments: hashpartitioning(demandProfile#1739, 37), ENSURE_REQUIREMENTS, [plan_id=2283]

(27) Sort
Input [2]: [demandProfile#1739, demandChannels#1740]
Arguments: [demandProfile#1739 ASC NULLS FIRST], false, 0

(28) Scan parquet 
Output [2]: [product#1577, plant#1578]
Batched: true
Location: InMemoryFileIndex [hdlfs://2e93940d-4be8-4f12-830d-f0b8d392c03a.files.hdl.prod-eu20.hanacloud.ondemand.com:443/crp-order-qty-opt-service/out/product-plant-list/10000000091/shardId=0_1_10000000091]
ReadSchema: struct<product:string,plant:string>

(29) Filter
Input [3]: [product#1585, plant#1586, demandprofile#1588]
Condition : isnotnull(demandProfile#1588)

(30) BroadcastExchange
Input [3]: [product#1585, plant#1586, demandprofile#1588]
Arguments: HashedRelationBroadcastMode(List(coalesce(input[1, string, true], ), isnull(input[1, string, true]), coalesce(input[0, string, true], ), isnull(input[0, string, true])),false), [plan_id=2274]

(31) BroadcastHashJoin
Left keys [4]: [coalesce(plant#1578, ), isnull(plant#1578), coalesce(product#1577, ), isnull(product#1577)]
Right keys [4]: [coalesce(plant#1586, ), isnull(plant#1586), coalesce(product#1585, ), isnull(product#1585)]
Join type: Inner
Join condition: None

(32) Project
Output [1]: [demandProfile#1588]
Input [5]: [product#1577, plant#1578, product#1585, plant#1586, demandprofile#1588]

(33) HashAggregate
Input [1]: [demandProfile#1588]
Keys [1]: [demandProfile#1588]
Functions: []
Aggregate Attributes: []
Results [1]: [demandProfile#1588]

(34) Exchange
Input [1]: [demandProfile#1588]
Arguments: hashpartitioning(demandProfile#1588, 37), ENSURE_REQUIREMENTS, [plan_id=2279]

(35) HashAggregate
Input [1]: [demandProfile#1588]
Keys [1]: [demandProfile#1588]
Functions: []
Aggregate Attributes: []
Results [1]: [demandProfile#1588]

(36) Sort
Input [1]: [demandProfile#1588]
Arguments: [demandProfile#1588 ASC NULLS FIRST], false, 0

(37) SortMergeJoin
Left keys [1]: [demandProfile#1739]
Right keys [1]: [demandProfile#1588]
Join type: Inner
Join condition: None

(38) Project
Output [1]: [demandChannels#1740]
Input [3]: [demandProfile#1739, demandChannels#1740, demandProfile#1588]

(39) Generate
Input [1]: [demandChannels#1740]
Arguments: explode(demandChannels#1740), false, [explodedDemandChannels#1752]

(40) Project
Output: []
Input [1]: [explodedDemandChannels#1752]

(41) AdaptiveSparkPlan
Output: []
Arguments: isFinalPlan=true

SQL / DataFrame Properties

Name	Value
spark.sql.parquet.fieldId.read.enabled	true
spark.sql.parquet.fieldId.write.enabled	true