PlusAMP App Middleware - Details for Job 331451

Status: SUCCEEDED
Submitted: 2025/08/02 15:24:04
Duration: 79 ms
Completed Stages: 3

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digraph G { subgraph clusterstage_513040 { label="Stage 513040"; subgraph cluster6288174 { label="Scan csv "; 3616158 [labelType="html" label="FileScanRDD [3616158] $anonfun$withThreadLocalCaptured$1 at FutureTask.java:264"]; 3616159 [labelType="html" label="MapPartitionsRDD [3616159] $anonfun$withThreadLocalCaptured$1 at FutureTask.java:264"]; } subgraph cluster6288170 { label="WholeStageCodegen (1)"; 3616160 [labelType="html" label="MapPartitionsRDD [3616160] $anonfun$withThreadLocalCaptured$1 at FutureTask.java:264"]; } subgraph cluster6288169 { label="InMemoryTableScan"; 3616161 [labelType="html" label="MapPartitionsRDD [3616161] $anonfun$withThreadLocalCaptured$1 at FutureTask.java:264"]; 3616162 [labelType="html" label="*(1) Project [CASE WHEN ((cap#94160377 = NA) OR (cap#94160377 = null)) THEN null ELSE cast(cap#94160377 as int) END AS cap#94160394, CASE WHEN (sort#94160378 = null) THEN null ELSE sort#94160378 END AS sort#94160395, CASE WHEN (description#94160379 = null) THEN null ELSE description#94160379 END AS description#94160396, CASE WHEN ((universe#94160380 = NA) OR (universe#94160380 = null)) THEN null ELSE cast(universe#94160380 as int) END AS universe#94160397]\n+- FileScan csv [cap#94160377,sort#94160378,description#94160379,universe#94160380] Batched: false, DataFilters: [], Format: CSV, Location: InMemoryFileIndex(1 paths)[file:/srv/plusamp/data/default/ea-market/curate/curate_cap.csv], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<cap:string,sort:string,description:string,universe:string>\n [3616162] [Cached] $anonfun$withThreadLocalCaptured$1 at FutureTask.java:264"]; } subgraph cluster6303023 { label="InMemoryTableScan"; 3624690 [labelType="html" label="MapPartitionsRDD [3624690] toLocalIterator at SparkDataStreamBuilder.scala:39"]; 3624691 [labelType="html" label="MapPartitionsRDD [3624691] toLocalIterator at SparkDataStreamBuilder.scala:39"]; 3624692 [labelType="html" label="MapPartitionsRDD [3624692] toLocalIterator at SparkDataStreamBuilder.scala:39"]; } subgraph cluster6303000 { label="WholeStageCodegen (2)"; 3624693 [labelType="html" label="MapPartitionsRDD [3624693] toLocalIterator at SparkDataStreamBuilder.scala:39"]; } subgraph cluster6302999 { label="Exchange"; 3624697 [labelType="html" label="MapPartitionsRDD [3624697] toLocalIterator at SparkDataStreamBuilder.scala:39"]; } } 3616158->3616159; 3616159->3616160; 3616160->3616161; 3616161->3616162; 3616162->3624690; 3624690->3624691; 3624691->3624692; 3624692->3624693; 3624693->3624697; }

3616162

digraph G { subgraph clusterstage_513041 { label="Stage 513041"; subgraph cluster6302999 { label="Exchange"; 3624698 [labelType="html" label="ShuffledRowRDD [3624698] [Unordered] toLocalIterator at SparkDataStreamBuilder.scala:39"]; } subgraph cluster6302993 { label="WholeStageCodegen (3)"; 3624699 [labelType="html" label="MapPartitionsRDD [3624699] [Unordered] toLocalIterator at SparkDataStreamBuilder.scala:39"]; } subgraph cluster6302992 { label="InMemoryTableScan"; 3624700 [labelType="html" label="MapPartitionsRDD [3624700] [Unordered] toLocalIterator at SparkDataStreamBuilder.scala:39"]; 3624701 [labelType="html" label="*(3) Sort [sort#94160395 ASC NULLS FIRST, description#94160396 ASC NULLS FIRST], true, 0\n+- Exchange rangepartitioning(sort#94160395 ASC NULLS FIRST, description#94160396 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [id=#7535710]\n +- *(2) Project [cap#94382550, numcos#94382567, numdates#94382568, sort#94160395, description#94160396, universe#94160397, (cast(numcos#94382567 as double) / cast(universe#94160397 as double)) AS coverage#94382902]\n +- *(2) BroadcastHashJoin [knownfloatingpointnormalized(normalizenanandzero(cap#94382550))], [knownfloatingpointnormalized(normalizenanandzero(cast(cap#94160394 as float)))], Inner, BuildLeft, false\n :- BroadcastExchange HashedRelationBroadcastMode(List(knownfloatingpointnormalized(normalizenanandzero(input[0, float, false]))),false), [id=#7535703]\n : +- *(1) Filter isnotnull(cap#94382550)\n : +- *(1) ColumnarToRow\n : +- InMemoryTableScan [cap#94382550, numcos#94382567, numdates#94382568], [isnotnull(cap#94382550)]\n ... [3624701] [Cached] [Unordered] toLocalIterator at SparkDataStreamBuilder.scala:39"]; 3624702 [labelType="html" label="MapPartitionsRDD [3624702] [Unordered] toLocalIterator at SparkDataStreamBuilder.scala:39"]; 3624703 [labelType="html" label="MapPartitionsRDD [3624703] [Unordered] toLocalIterator at SparkDataStreamBuilder.scala:39"]; 3624704 [labelType="html" label="MapPartitionsRDD [3624704] [Unordered] toLocalIterator at SparkDataStreamBuilder.scala:39"]; } subgraph cluster6302991 { label="CollectLimit"; 3624705 [labelType="html" label="MapPartitionsRDD [3624705] [Unordered] toLocalIterator at SparkDataStreamBuilder.scala:39"]; 3624706 [labelType="html" label="MapPartitionsRDD [3624706] [Unordered] toLocalIterator at SparkDataStreamBuilder.scala:39"]; } } 3624698->3624699; 3624699->3624700; 3624700->3624701; 3624701->3624702; 3624702->3624703; 3624703->3624704; 3624704->3624705; 3624705->3624706; }

3624697,3624698

3624701

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3624706,3624707

Completed Stages (3)

Page:

Stage Id ▾	Pool Name	Description	Submitted	Duration	Tasks: Succeeded/Total	Input	Shuffle Read	Shuffle Write
513042	default	toStream at SparkDataStreamBuilder.scala:39 +details scala.collection.AbstractIterator.toStream(Iterator.scala:1431) plusamp.middleware.model.core.data.SparkDataStreamBuilder.$anonfun$stream$1(SparkDataStreamBuilder.scala:39) plusamp.scala.util.Profile$.time(Profile.scala:22) plusamp.middleware.model.core.data.SparkDataStreamBuilder.<init>(SparkDataStreamBuilder.scala:39) plusamp.middleware.graphql.datafile.SparkAccessor.$anonfun$retrieveData$3(SparkAccessor.scala:77) scala.util.Success.$anonfun$map$1(Try.scala:255) scala.util.Success.map(Try.scala:213) scala.concurrent.Future.$anonfun$map$1(Future.scala:292) scala.concurrent.impl.Promise.liftedTree1$1(Promise.scala:33) scala.concurrent.impl.Promise.$anonfun$transform$1(Promise.scala:33) scala.concurrent.impl.CallbackRunnable.run(Promise.scala:64) java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128) java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628) java.base/java.lang.Thread.run(Thread.java:829)	2025/08/02 15:24:04	10 ms	1/1		316.0 B
513041	default	toLocalIterator at SparkDataStreamBuilder.scala:39 +details RDD: (3) Sort [sort#94160395 ASC NULLS FIRST, description#94160396 ASC NULLS FIRST], true, 0 +- Exchange rangepartitioning(sort#94160395 ASC NULLS FIRST, description#94160396 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [id=#7535710] +- (2) Project [cap#94382550, numcos#94382567, numdates#94382568, sort#94160395, description#94160396, universe#94160397, (cast(numcos#94382567 as double) / cast(universe#94160397 as double)) AS coverage#94382902] +- (2) BroadcastHashJoin [knownfloatingpointnormalized(normalizenanandzero(cap#94382550))], [knownfloatingpointnormalized(normalizenanandzero(cast(cap#94160394 as float)))], Inner, BuildLeft, false :- BroadcastExchange HashedRelationBroadcastMode(List(knownfloatingpointnormalized(normalizenanandzero(input[0, float, false]))),false), [id=#7535703] : +- (1) Filter isnotnull(cap#94382550) : +- *(1) ColumnarToRow : +- InMemoryTableScan [cap#94382550, numcos#94382567, numdates#94382568], [isnotnull(cap#94382550)] ... org.apache.spark.sql.Dataset.toLocalIterator(Dataset.scala:3000) plusamp.middleware.model.core.data.SparkDataStreamBuilder.$anonfun$stream$1(SparkDataStreamBuilder.scala:39) plusamp.scala.util.Profile$.time(Profile.scala:22) plusamp.middleware.model.core.data.SparkDataStreamBuilder.<init>(SparkDataStreamBuilder.scala:39) plusamp.middleware.graphql.datafile.SparkAccessor.$anonfun$retrieveData$3(SparkAccessor.scala:77) scala.util.Success.$anonfun$map$1(Try.scala:255) scala.util.Success.map(Try.scala:213) scala.concurrent.Future.$anonfun$map$1(Future.scala:292) scala.concurrent.impl.Promise.liftedTree1$1(Promise.scala:33) scala.concurrent.impl.Promise.$anonfun$transform$1(Promise.scala:33) scala.concurrent.impl.CallbackRunnable.run(Promise.scala:64) java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128) java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628) java.base/java.lang.Thread.run(Thread.java:829)	2025/08/02 15:24:04	52 ms	3/3		316.0 B	316.0 B
513040	default	toLocalIterator at SparkDataStreamBuilder.scala:39 +details RDD: *(1) Project [CASE WHEN ((cap#94160377 = NA) OR (cap#94160377 = null)) THEN null ELSE cast(cap#94160377 as int) END AS cap#94160394, CASE WHEN (sort#94160378 = null) THEN null ELSE sort#94160378 END AS sort#94160395, CASE WHEN (description#94160379 = null) THEN null ELSE description#94160379 END AS description#94160396, CASE WHEN ((universe#94160380 = NA) OR (universe#94160380 = null)) THEN null ELSE cast(universe#94160380 as int) END AS universe#94160397] +- FileScan csv [cap#94160377,sort#94160378,description#94160379,universe#94160380] Batched: false, DataFilters: [], Format: CSV, Location: InMemoryFileIndex(1 paths)[file:/srv/plusamp/data/default/ea-market/curate/curate_cap.csv], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<cap:string,sort:string,description:string,universe:string> org.apache.spark.sql.Dataset.toLocalIterator(Dataset.scala:3000) plusamp.middleware.model.core.data.SparkDataStreamBuilder.$anonfun$stream$1(SparkDataStreamBuilder.scala:39) plusamp.scala.util.Profile$.time(Profile.scala:22) plusamp.middleware.model.core.data.SparkDataStreamBuilder.<init>(SparkDataStreamBuilder.scala:39) plusamp.middleware.graphql.datafile.SparkAccessor.$anonfun$retrieveData$3(SparkAccessor.scala:77) scala.util.Success.$anonfun$map$1(Try.scala:255) scala.util.Success.map(Try.scala:213) scala.concurrent.Future.$anonfun$map$1(Future.scala:292) scala.concurrent.impl.Promise.liftedTree1$1(Promise.scala:33) scala.concurrent.impl.Promise.$anonfun$transform$1(Promise.scala:33) scala.concurrent.impl.CallbackRunnable.run(Promise.scala:64) java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128) java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628) java.base/java.lang.Thread.run(Thread.java:829)	2025/08/02 15:24:04	8 ms	1/1	624.0 B		316.0 B

Stage Id ▾

Pool Name

Description

Submitted

Duration

Tasks: Succeeded/Total

Input

Output

Shuffle Read

Shuffle Write

513042

default

toStream at SparkDataStreamBuilder.scala:39 +details

scala.collection.AbstractIterator.toStream(Iterator.scala:1431)
plusamp.middleware.model.core.data.SparkDataStreamBuilder.$anonfun$stream$1(SparkDataStreamBuilder.scala:39)
plusamp.scala.util.Profile$.time(Profile.scala:22)
plusamp.middleware.model.core.data.SparkDataStreamBuilder.<init>(SparkDataStreamBuilder.scala:39)
plusamp.middleware.graphql.datafile.SparkAccessor.$anonfun$retrieveData$3(SparkAccessor.scala:77)
scala.util.Success.$anonfun$map$1(Try.scala:255)
scala.util.Success.map(Try.scala:213)
scala.concurrent.Future.$anonfun$map$1(Future.scala:292)
scala.concurrent.impl.Promise.liftedTree1$1(Promise.scala:33)
scala.concurrent.impl.Promise.$anonfun$transform$1(Promise.scala:33)
scala.concurrent.impl.CallbackRunnable.run(Promise.scala:64)
java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
java.base/java.lang.Thread.run(Thread.java:829)

2025/08/02 15:24:04

10 ms

1/1

316.0 B

513041

default

toLocalIterator at SparkDataStreamBuilder.scala:39 +details

RDD: *(3) Sort [sort#94160395 ASC NULLS FIRST, description#94160396 ASC NULLS FIRST], true, 0 +- Exchange rangepartitioning(sort#94160395 ASC NULLS FIRST, description#94160396 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [id=#7535710] +- *(2) Project [cap#94382550, numcos#94382567, numdates#94382568, sort#94160395, description#94160396, universe#94160397, (cast(numcos#94382567 as double) / cast(universe#94160397 as double)) AS coverage#94382902] +- *(2) BroadcastHashJoin [knownfloatingpointnormalized(normalizenanandzero(cap#94382550))], [knownfloatingpointnormalized(normalizenanandzero(cast(cap#94160394 as float)))], Inner, BuildLeft, false :- BroadcastExchange HashedRelationBroadcastMode(List(knownfloatingpointnormalized(normalizenanandzero(input[0, float, false]))),false), [id=#7535703] : +- *(1) Filter isnotnull(cap#94382550) : +- *(1) ColumnarToRow : +- InMemoryTableScan [cap#94382550, numcos#94382567, numdates#94382568], [isnotnull(cap#94382550)] ...

org.apache.spark.sql.Dataset.toLocalIterator(Dataset.scala:3000)
plusamp.middleware.model.core.data.SparkDataStreamBuilder.$anonfun$stream$1(SparkDataStreamBuilder.scala:39)
plusamp.scala.util.Profile$.time(Profile.scala:22)
plusamp.middleware.model.core.data.SparkDataStreamBuilder.<init>(SparkDataStreamBuilder.scala:39)
plusamp.middleware.graphql.datafile.SparkAccessor.$anonfun$retrieveData$3(SparkAccessor.scala:77)
scala.util.Success.$anonfun$map$1(Try.scala:255)
scala.util.Success.map(Try.scala:213)
scala.concurrent.Future.$anonfun$map$1(Future.scala:292)
scala.concurrent.impl.Promise.liftedTree1$1(Promise.scala:33)
scala.concurrent.impl.Promise.$anonfun$transform$1(Promise.scala:33)
scala.concurrent.impl.CallbackRunnable.run(Promise.scala:64)
java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
java.base/java.lang.Thread.run(Thread.java:829)

2025/08/02 15:24:04

52 ms

3/3

316.0 B

513040

default

toLocalIterator at SparkDataStreamBuilder.scala:39 +details

RDD: *(1) Project [CASE WHEN ((cap#94160377 = NA) OR (cap#94160377 = null)) THEN null ELSE cast(cap#94160377 as int) END AS cap#94160394, CASE WHEN (sort#94160378 = null) THEN null ELSE sort#94160378 END AS sort#94160395, CASE WHEN (description#94160379 = null) THEN null ELSE description#94160379 END AS description#94160396, CASE WHEN ((universe#94160380 = NA) OR (universe#94160380 = null)) THEN null ELSE cast(universe#94160380 as int) END AS universe#94160397] +- FileScan csv [cap#94160377,sort#94160378,description#94160379,universe#94160380] Batched: false, DataFilters: [], Format: CSV, Location: InMemoryFileIndex(1 paths)[file:/srv/plusamp/data/default/ea-market/curate/curate_cap.csv], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<cap:string,sort:string,description:string,universe:string>

org.apache.spark.sql.Dataset.toLocalIterator(Dataset.scala:3000)
plusamp.middleware.model.core.data.SparkDataStreamBuilder.$anonfun$stream$1(SparkDataStreamBuilder.scala:39)
plusamp.scala.util.Profile$.time(Profile.scala:22)
plusamp.middleware.model.core.data.SparkDataStreamBuilder.<init>(SparkDataStreamBuilder.scala:39)
plusamp.middleware.graphql.datafile.SparkAccessor.$anonfun$retrieveData$3(SparkAccessor.scala:77)
scala.util.Success.$anonfun$map$1(Try.scala:255)
scala.util.Success.map(Try.scala:213)
scala.concurrent.Future.$anonfun$map$1(Future.scala:292)
scala.concurrent.impl.Promise.liftedTree1$1(Promise.scala:33)
scala.concurrent.impl.Promise.$anonfun$transform$1(Promise.scala:33)
scala.concurrent.impl.CallbackRunnable.run(Promise.scala:64)
java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
java.base/java.lang.Thread.run(Thread.java:829)

2025/08/02 15:24:04

8 ms

1/1

624.0 B

316.0 B

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