From 6d14296a49b0b5d72cfcf38f28fd156656376e07 Mon Sep 17 00:00:00 2001 From: Thomas Graves Date: Wed, 26 May 2021 16:27:17 -0500 Subject: [PATCH] Qualification tool updates for datasets, udf, and misc fixes (#2505) * Start looking for datasets, udfs, etc Signed-off-by: Thomas Graves * more qualification * Add utility to generate eventlog using Dataset api * Add function to generate event log with UDF * Add test utilities and files for udf and dataset Signed-off-by: Thomas Graves * cleanup * cleanup Signed-off-by: Thomas Graves * Add some testing utils dealing with directories Signed-off-by: Thomas Graves * remove log * spacing updatees: * fix spacing Signed-off-by: Thomas Graves * Update rapids-4-spark-tools/src/main/scala/com/nvidia/spark/rapids/tool/profiling/Qualification.scala Co-authored-by: Andy Grove * Update rapids-4-spark-tools/src/test/scala/com/nvidia/spark/rapids/tool/profiling/QualificationInfoUtils.scala Co-authored-by: Niranjan Artal <50492963+nartal1@users.noreply.github.com> * Update rapids-4-spark-tools/src/test/scala/com/nvidia/spark/rapids/tool/profiling/QualificationInfoUtils.scala Co-authored-by: Niranjan Artal <50492963+nartal1@users.noreply.github.com> * fix extra else Co-authored-by: Andy Grove Co-authored-by: Niranjan Artal <50492963+nartal1@users.noreply.github.com> --- rapids-4-spark-tools/README.md | 20 +- .../tool/profiling/ClassWarehouse.scala | 2 +- .../rapids/tool/profiling/ProfileMain.scala | 2 +- .../rapids/tool/profiling/Qualification.scala | 15 +- .../tool/profiling/ApplicationInfo.scala | 37 +++- .../src/test/resources/dataset_eventlog | 38 ++++ .../src/test/resources/udf_dataset_eventlog | 38 ++++ .../src/test/resources/udf_func_eventlog | 64 +++++++ .../profiling/QualificationInfoUtils.scala | 180 ++++++++++++++++++ .../orga/apache/spark/rapids/TestUtils.scala | 33 ++++ workload_profiling/.gitignore | 4 - 11 files changed, 408 insertions(+), 25 deletions(-) create mode 100644 rapids-4-spark-tools/src/test/resources/dataset_eventlog create mode 100644 rapids-4-spark-tools/src/test/resources/udf_dataset_eventlog create mode 100644 rapids-4-spark-tools/src/test/resources/udf_func_eventlog create mode 100644 rapids-4-spark-tools/src/test/scala/com/nvidia/spark/rapids/tool/profiling/QualificationInfoUtils.scala create mode 100644 rapids-4-spark-tools/src/test/scala/orga/apache/spark/rapids/TestUtils.scala delete mode 100644 workload_profiling/.gitignore diff --git a/rapids-4-spark-tools/README.md b/rapids-4-spark-tools/README.md index 56eaeb2cc48..1b2af71c9f7 100644 --- a/rapids-4-spark-tools/README.md +++ b/rapids-4-spark-tools/README.md @@ -6,31 +6,31 @@ Works with both cpu and gpu generated event logs. (The code is based on Apache Spark 3.1.1 source code, and tested using Spark 3.0.x and 3.1.1 event logs) +## Prerequisites +1. Request Spark 3.1.1 or newer installed + ## How to compile and use with Spark 1. `mvn clean package` -2. Copy rapids-4-spark-tools-.jar to $SPARK_HOME/jars/ - -`cp target/rapids-4-spark-tools-21.06.0-SNAPSHOT.jar $SPARK_HOME/jars/` - -3. In spark-shell: +2. Include rapids-4-spark-tools-.jar in the '--jars' option to spark-shell or spark-submit +3. After starting spark-shell: For a single event log analysis: ``` -org.apache.spark.sql.rapids.tool.profiling.ProfileMain.main(Array("/path/to/eventlog1")) +com.nvidia.spark.rapids.tool.profiling.ProfileMain.main(Array("/path/to/eventlog1")) ``` For multiple event logs comparison and analysis: ``` -org.apache.spark.sql.rapids.tool.profiling.ProfileMain.main(Array("/path/to/eventlog1", "/path/to/eventlog2")) +com.nvidia.spark.rapids.tool.profiling.ProfileMain.main(Array("/path/to/eventlog1", "/path/to/eventlog2")) ``` ## How to compile and use from command-line 1. `mvn clean package` 2. `cd $SPARK_HOME (Download Apache Spark if required)` -3. `./bin/spark-submit --class org.apache.spark.sql.rapids.tool.profiling.ProfileMain /rapids-4-spark-tools/target/rapids-4-spark-tools-.jar /path/to/eventlog1` +3. `./bin/spark-submit --class com.nvidia.spark.rapids.tool.profiling.ProfileMain /rapids-4-spark-tools/target/rapids-4-spark-tools-.jar /path/to/eventlog1` ## Options ``` -$ ./bin/spark-submit --class org.apache.spark.sql.rapids.tool.profiling.ProfileMain /rapids-4-spark-tools/target/rapids-4-spark-tools-.jar --help +$ ./bin/spark-submit --class com.nvidia.spark.rapids.tool.profiling.ProfileMain /rapids-4-spark-tools/target/rapids-4-spark-tools-.jar --help Spark event log profiling tool @@ -112,4 +112,4 @@ We can input multiple Spark event logs and this tool can compare enviroments, ex |spark.rapids.sql.incompatibleOps.enabled |null |true | |spark.rapids.sql.variableFloatAgg.enabled |null |TRUE | +-------------------------------------------+----------+----------+ -``` \ No newline at end of file +``` diff --git a/rapids-4-spark-tools/src/main/scala/com/nvidia/spark/rapids/tool/profiling/ClassWarehouse.scala b/rapids-4-spark-tools/src/main/scala/com/nvidia/spark/rapids/tool/profiling/ClassWarehouse.scala index 6d046f71b1b..c4a8f8eb3bc 100644 --- a/rapids-4-spark-tools/src/main/scala/com/nvidia/spark/rapids/tool/profiling/ClassWarehouse.scala +++ b/rapids-4-spark-tools/src/main/scala/com/nvidia/spark/rapids/tool/profiling/ClassWarehouse.scala @@ -155,4 +155,4 @@ case class TaskCase( output_bytesWritten: Long, output_recordsWritten: Long) -case class ProblematicSQLCase(sqlID: Long) \ No newline at end of file +case class ProblematicSQLCase(sqlID: Long, reason: String, desc: String) diff --git a/rapids-4-spark-tools/src/main/scala/com/nvidia/spark/rapids/tool/profiling/ProfileMain.scala b/rapids-4-spark-tools/src/main/scala/com/nvidia/spark/rapids/tool/profiling/ProfileMain.scala index c83c3b34b33..19f9569ec84 100644 --- a/rapids-4-spark-tools/src/main/scala/com/nvidia/spark/rapids/tool/profiling/ProfileMain.scala +++ b/rapids-4-spark-tools/src/main/scala/com/nvidia/spark/rapids/tool/profiling/ProfileMain.scala @@ -150,4 +150,4 @@ object ProfileMain extends Logging { 0 } -} \ No newline at end of file +} diff --git a/rapids-4-spark-tools/src/main/scala/com/nvidia/spark/rapids/tool/profiling/Qualification.scala b/rapids-4-spark-tools/src/main/scala/com/nvidia/spark/rapids/tool/profiling/Qualification.scala index c1461a52a63..986efdbf115 100644 --- a/rapids-4-spark-tools/src/main/scala/com/nvidia/spark/rapids/tool/profiling/Qualification.scala +++ b/rapids-4-spark-tools/src/main/scala/com/nvidia/spark/rapids/tool/profiling/Qualification.scala @@ -52,19 +52,28 @@ class Qualification( if (!app.allDataFrames.contains(s"sqlDF_${app.index}")) { logInfo(s"${app.appId} (index=${app.index}) is disqualified because no SQL is inside.") fileWriter.write(s"${app.appId} (index=${app.index}) is " + - s"disqualified because no SQL is inside.\n") + s"disqualified because no SQL is inside.\n") return false } + val dfProb = app.queryToDF(app.qualificationSQLDataSet) + if (!dfProb.isEmpty) { + logInfo(s"${app.appId} (index=${app.index}) is disqualified because it is problematic " + + "(UDF, Dataset, etc).") + fileWriter.write(s"${app.appId} (index=${app.index}) is " + + s"disqualified because problematic (UDF, Dataset, etc.)\n") + fileWriter.write("Reason disqualified:\n") + fileWriter.write(ToolUtils.showString(dfProb, app.args.numOutputRows.getOrElse(1000))) + } val df = app.queryToDF(app.qualificationSQL) if (df.isEmpty) { logInfo(s"${app.appId} (index=${app.index}) is disqualified because no SQL is qualified.") fileWriter.write(s"${app.appId} (index=${app.index}) is " + - s"disqualified because no SQL is qualified.\n") + s"disqualified because no SQL is qualified\n") false } else { fileWriter.write(s"${app.appId} (index=${app.index}) " + - s"is qualified with below qualified SQL(s):\n") + s"is qualified with below qualified SQL(s):\n") fileWriter.write("\n" + ToolUtils.showString(df, app.args.numOutputRows.getOrElse(1000))) true } diff --git a/rapids-4-spark-tools/src/main/scala/org/apache/spark/sql/rapids/tool/profiling/ApplicationInfo.scala b/rapids-4-spark-tools/src/main/scala/org/apache/spark/sql/rapids/tool/profiling/ApplicationInfo.scala index 62721190654..ea86c928c25 100644 --- a/rapids-4-spark-tools/src/main/scala/org/apache/spark/sql/rapids/tool/profiling/ApplicationInfo.scala +++ b/rapids-4-spark-tools/src/main/scala/org/apache/spark/sql/rapids/tool/profiling/ApplicationInfo.scala @@ -249,8 +249,9 @@ class ApplicationInfo( val allnodes = planGraph.allNodes for (node <- allnodes){ // Firstly identify problematic SQLs if there is any - if (isProblematicPlan(node)){ - problematicSQL += ProblematicSQLCase(sqlID) + val probReason = isProblematicPlan(node) + if (probReason.nonEmpty) { + problematicSQL += ProblematicSQLCase(sqlID, probReason, node.desc) } // Then process SQL plan metric type for (metric <- node.metrics){ @@ -664,9 +665,33 @@ class ApplicationInfo( |""".stripMargin } + // Function to generate a query for qualification + def qualificationSQLDataSet: String = { + s"""select distinct(sqlID), reason, desc from problematicSQLDF_$index + |""".stripMargin + } + // Function to determine if a SparkPlanGraphNode could be problematic. - def isProblematicPlan(node: SparkPlanGraphNode): Boolean = { - node.name == "GpuColumnarToRow" || node.name == "GpuRowToColumnar" || - (node.desc matches ".*\\$Lambda\\$.*") + // // todo what about scan for genreated data? -> SerializeFromObject? + // LocalTableScan? + // these may only apply to profiling part so take out for now + // if (node.name == "GpuColumnarToRow") { + // "GpuColumnarToRow" + // } else if (node.name == "GpuRowToColumnar") { + // "GpuRowToColumnar" + def isProblematicPlan(node: SparkPlanGraphNode): String = { + logWarning("node description is: " + node.desc) + isDescProblematic(node.desc) + } + + // TODO - do we want to handle existing RDD + // case e if e.matches(".*ExistingRDD.*") => "existingRDD" + private def isDescProblematic(desc: String): String = { + desc match { + case l if l.matches(".*\\$Lambda\\$.*") => "Dataset/Lambda" + case u if u.matches(".*UDF.*") => "UDF" + case a if a.endsWith(".apply") => "Dataset/Apply" + case _ => "" + } } -} \ No newline at end of file +} diff --git a/rapids-4-spark-tools/src/test/resources/dataset_eventlog b/rapids-4-spark-tools/src/test/resources/dataset_eventlog new file mode 100644 index 00000000000..ad065f8ec4e --- /dev/null +++ b/rapids-4-spark-tools/src/test/resources/dataset_eventlog @@ -0,0 +1,38 @@ +{"Event":"SparkListenerLogStart","Spark Version":"3.1.1"} +{"Event":"SparkListenerResourceProfileAdded","Resource Profile Id":0,"Executor Resource Requests":{"cores":{"Resource Name":"cores","Amount":1,"Discovery Script":"","Vendor":""},"memory":{"Resource Name":"memory","Amount":1024,"Discovery Script":"","Vendor":""},"offHeap":{"Resource Name":"offHeap","Amount":0,"Discovery Script":"","Vendor":""}},"Task Resource Requests":{"cpus":{"Resource Name":"cpus","Amount":1.0}}} +{"Event":"SparkListenerExecutorAdded","Timestamp":1621955981943,"Executor ID":"driver","Executor Info":{"Host":"10.28.9.112","Total Cores":12,"Log Urls":{},"Attributes":{},"Resources":{},"Resource Profile Id":0}} +{"Event":"SparkListenerBlockManagerAdded","Block Manager ID":{"Executor ID":"driver","Host":"10.28.9.112","Port":35495},"Maximum Memory":16991335219,"Timestamp":1621955981958,"Maximum Onheap Memory":16991335219,"Maximum Offheap Memory":0} +{"Event":"SparkListenerEnvironmentUpdate","JVM Information":{"Java Home":"/usr/lib/jvm/java-8-openjdk-amd64/jre","Java Version":"1.8.0_282 (Private Build)","Scala Version":"version 2.12.10"},"Spark 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Method)\nsun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)\nsun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.lang.reflect.Method.invoke(Method.java:498)\norg.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)\norg.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:951)\norg.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)\norg.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)\norg.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)\norg.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1030)\norg.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1039)\norg.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)","physicalPlanDescription":"== Physical Plan ==\nExecute InsertIntoHadoopFsRelationCommand (10)\n+- * SerializeFromObject (9)\n +- * MapElements (8)\n +- * Filter (7)\n +- * DeserializeToObject (6)\n +- GpuColumnarToRow (5)\n +- GpuProject (4)\n +- GpuRowToColumnar (3)\n +- * SerializeFromObject (2)\n +- Scan (1)\n\n\n(1) Scan\nOutput [1]: [obj#3]\nArguments: obj#3: scala.Tuple3, ParallelCollectionRDD[0] at parallelize at QualificationInfoSuite.scala:57\n\n(2) SerializeFromObject [codegen id : 1]\nInput [1]: [obj#3]\nArguments: [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, knownnotnull(assertnotnull(input[0, scala.Tuple3, true]))._1, true, false) AS _1#4, staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, knownnotnull(assertnotnull(input[0, scala.Tuple3, true]))._2, true, false) AS _2#5, knownnotnull(assertnotnull(input[0, scala.Tuple3, true]))._3 AS _3#6]\n\n(3) GpuRowToColumnar\nInput [3]: [_1#4, _2#5, _3#6]\nArguments: TargetSize(2147483647)\n\n(4) GpuProject\nInput [3]: [_1#4, _2#5, _3#6]\nArguments: [_1#4 AS name#11, _2#5 AS friend#12, _3#6 AS age#13]\n\n(5) GpuColumnarToRow\nInput [3]: [name#11, friend#12, age#13]\nArguments: false\n\n(6) DeserializeToObject [codegen id : 2]\nInput [3]: [name#11, friend#12, age#13]\nArguments: newInstance(class com.nvidia.spark.rapids.tool.profiling.RapidsFriends), obj#30: com.nvidia.spark.rapids.tool.profiling.RapidsFriends\n\n(7) Filter [codegen id : 2]\nInput [1]: [obj#30]\nCondition : com.nvidia.spark.rapids.tool.profiling.QualificationInfoSuite$$$Lambda$1569/1828787392@2eb6d34a.apply\n\n(8) MapElements [codegen id : 2]\nInput [1]: [obj#30]\nArguments: com.nvidia.spark.rapids.tool.profiling.QualificationInfoSuite$$$Lambda$1571/993650587@7be7c052, obj#31: scala.Tuple2\n\n(9) SerializeFromObject [codegen id : 2]\nInput [1]: [obj#31]\nArguments: [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, knownnotnull(assertnotnull(input[0, scala.Tuple2, true]))._1, true, false) AS _1#32, knownnotnull(assertnotnull(input[0, scala.Tuple2, true]))._2 AS _2#33]\n\n(10) Execute InsertIntoHadoopFsRelationCommand\nInput [2]: [_1#32, _2#33]\nArguments: file:/home/tgraves/workspace/spark-rapids-another/dataSetEventLog1276846466837953157.tmp, false, JSON, Map(path -> dataSetEventLog1276846466837953157.tmp), ErrorIfExists, [_1, _2]\n\n","sparkPlanInfo":{"nodeName":"Execute InsertIntoHadoopFsRelationCommand","simpleString":"Execute InsertIntoHadoopFsRelationCommand file:/home/tgraves/workspace/spark-rapids-another/dataSetEventLog1276846466837953157.tmp, false, JSON, Map(path -> dataSetEventLog1276846466837953157.tmp), ErrorIfExists, [_1, _2]","children":[{"nodeName":"WholeStageCodegen (2)","simpleString":"WholeStageCodegen (2)","children":[{"nodeName":"SerializeFromObject","simpleString":"SerializeFromObject [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, knownnotnull(assertnotnull(input[0, scala.Tuple2, true]))._1, true, false) AS _1#32, knownnotnull(assertnotnull(input[0, scala.Tuple2, true]))._2 AS 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Method)\nsun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)\nsun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.lang.reflect.Method.invoke(Method.java:498)\norg.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)\norg.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:951)\norg.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)\norg.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)\norg.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)\norg.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1030)\norg.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1039)\norg.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)","physicalPlanDescription":"== Physical Plan ==\nExecute InsertIntoHadoopFsRelationCommand (10)\n+- * SerializeFromObject (9)\n +- * MapElements (8)\n +- * Filter (7)\n +- * DeserializeToObject (6)\n +- GpuColumnarToRow (5)\n +- GpuProject (4)\n +- GpuRowToColumnar (3)\n +- * SerializeFromObject (2)\n +- Scan (1)\n\n\n(1) Scan\nOutput [1]: [obj#5]\nArguments: obj#5: scala.Tuple3, ParallelCollectionRDD[0] at parallelize at QualificationInfoUtils.scala:57\n\n(2) SerializeFromObject [codegen id : 1]\nInput [1]: [obj#5]\nArguments: [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, knownnotnull(assertnotnull(input[0, scala.Tuple3, true]))._1, true, false) AS _1#6, staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, knownnotnull(assertnotnull(input[0, scala.Tuple3, true]))._2, true, false) AS _2#7, knownnotnull(assertnotnull(input[0, scala.Tuple3, true]))._3 AS _3#8]\n\n(3) GpuRowToColumnar\nInput [3]: [_1#6, _2#7, _3#8]\nArguments: TargetSize(2147483647)\n\n(4) GpuProject\nInput [3]: [_1#6, _2#7, _3#8]\nArguments: [_1#6 AS name#13, _2#7 AS friend#14, _3#8 AS age#15]\n\n(5) GpuColumnarToRow\nInput [3]: [name#13, friend#14, age#15]\nArguments: false\n\n(6) DeserializeToObject [codegen id : 2]\nInput [3]: [name#13, friend#14, age#15]\nArguments: newInstance(class com.nvidia.spark.rapids.tool.profiling.RapidsFriends), obj#40: com.nvidia.spark.rapids.tool.profiling.RapidsFriends\n\n(7) Filter [codegen id : 2]\nInput [1]: [obj#40]\nCondition : com.nvidia.spark.rapids.tool.profiling.QualificationInfoUtils$$$Lambda$1605/236275784@145a821d.apply\n\n(8) MapElements [codegen id : 2]\nInput [1]: [obj#40]\nArguments: com.nvidia.spark.rapids.tool.profiling.QualificationInfoUtils$$$Lambda$1607/1231232251@792e8181, obj#41: scala.Tuple2\n\n(9) SerializeFromObject [codegen id : 2]\nInput [1]: [obj#41]\nArguments: [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, knownnotnull(assertnotnull(input[0, scala.Tuple2, true]))._1, true, false) AS _1#42, knownnotnull(assertnotnull(input[0, scala.Tuple2, true]))._2 AS _2#43]\n\n(10) Execute InsertIntoHadoopFsRelationCommand\nInput [2]: [_1#42, _2#43]\nArguments: file:/home/tgraves/workspace/spark-rapids-another/dataSetEventLog2230889308614246026.tmp, false, JSON, Map(path -> dataSetEventLog2230889308614246026.tmp), ErrorIfExists, [_1, _2]\n\n","sparkPlanInfo":{"nodeName":"Execute InsertIntoHadoopFsRelationCommand","simpleString":"Execute InsertIntoHadoopFsRelationCommand file:/home/tgraves/workspace/spark-rapids-another/dataSetEventLog2230889308614246026.tmp, false, JSON, Map(path -> dataSetEventLog2230889308614246026.tmp), ErrorIfExists, [_1, _2]","children":[{"nodeName":"WholeStageCodegen (2)","simpleString":"WholeStageCodegen (2)","children":[{"nodeName":"SerializeFromObject","simpleString":"SerializeFromObject [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, knownnotnull(assertnotnull(input[0, scala.Tuple2, true]))._1, true, false) AS _1#42, knownnotnull(assertnotnull(input[0, scala.Tuple2, true]))._2 AS 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Name":"Rapids Spark Profiling Tool Unit Tests","App ID":"local-1621969619749","Timestamp":1621969618990,"User":"tgraves"} +{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLExecutionStart","executionId":0,"description":"json at QualificationInfoUtils.scala:122","details":"org.apache.spark.sql.DataFrameWriter.json(DataFrameWriter.scala:853)\ncom.nvidia.spark.rapids.tool.profiling.QualificationInfoUtils$.genUDFFuncEventLog(QualificationInfoUtils.scala:122)\ncom.nvidia.spark.rapids.tool.profiling.QualificationInfoUtils$.main(QualificationInfoUtils.scala:154)\ncom.nvidia.spark.rapids.tool.profiling.QualificationInfoUtils.main(QualificationInfoUtils.scala)\nsun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\nsun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)\nsun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.lang.reflect.Method.invoke(Method.java:498)\norg.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)\norg.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:951)\norg.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)\norg.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)\norg.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)\norg.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1030)\norg.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1039)\norg.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)","physicalPlanDescription":"== Physical Plan ==\nExecute InsertIntoHadoopFsRelationCommand (2)\n+- LocalTableScan (1)\n\n\n(1) LocalTableScan\nOutput [4]: [id#8, name#9, city#10, 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b/rapids-4-spark-tools/src/test/scala/com/nvidia/spark/rapids/tool/profiling/QualificationInfoUtils.scala @@ -0,0 +1,180 @@ +/* + * Copyright (c) 2021, NVIDIA CORPORATION. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package com.nvidia.spark.rapids.tool.profiling + +import java.io.File + +import org.apache.spark.internal.Logging +import org.apache.spark.rapids.TestUtils +import org.apache.spark.sql.{Dataset, SparkSession} +import org.apache.spark.sql.functions.{col, udf} + +// class used for testing +case class RapidsFriends(name: String, friend: String, age: Int) + +/** + * Utilities to generate event logs used for qualification testing. + */ +object QualificationInfoUtils extends Logging { + + def randomStringFromCharList(length: Int, chars: Seq[Char]): String = { + val sb = new StringBuilder + for (i <- 1 to length) { + val randomNum = util.Random.nextInt(chars.length) + sb.append(chars(randomNum)) + } + sb.toString + } + + def randomAlpha(length: Int): String = { + val chars = ('a' to 'z') ++ ('A' to 'Z') + randomStringFromCharList(length, chars) + } + + def randomString(length: Int) = { + val r = new scala.util.Random + val sb = new StringBuilder + for (i <- 1 to length) { + sb.append(r.nextPrintableChar) + } + sb.toString + } + + val randForInt = new scala.util.Random(11) + def randomInt(): Int = { + randForInt.nextInt(100) + } + + def generateFriendsDataset(spark: SparkSession): Dataset[RapidsFriends] = { + import spark.implicits._ + val df = spark.sparkContext.parallelize( + Seq.fill(1000){(randomAlpha(10), randomAlpha(5), randomInt)}) + .toDF("name", "friend", "age") + df.as[RapidsFriends] + } + + // dataset operations in plan show up as Lambda + def genDatasetEventLog(spark: SparkSession, size: Int = 1000) = { + import spark.implicits._ + TestUtils.withTempPath { jsonOutFile => + val ds = generateFriendsDataset(spark) + val dsAge = ds.filter(d => d.age > 25).map(d => (d.friend, d.age)) + dsAge.write.json(jsonOutFile.getCanonicalPath) + } + } + + def parseAge = (age: Int) => { + val majorAge = Seq("21", "25", "55", "18") + if (majorAge.contains(age)) { + "MILESTONE" + } else { + "other" + } + } + + // UDF with dataset, shows up with Lambda + def genUDFDSEventLog(spark: SparkSession, size: Int = 1000) = { + import spark.implicits._ + TestUtils.withTempPath { jsonOutFile => + val ageFunc = udf(parseAge) + val ds = generateFriendsDataset(spark) + ds.withColumn("ageCategory",ageFunc(col("age"))) + val dsAge = ds.filter(d => d.age > 25).map(d => (d.friend, d.age)) + dsAge.write.json(jsonOutFile.getCanonicalPath) + } + } + + def cleanCountry = (country: String) => { + val allUSA = Seq("US", "USa", "USA", "United states", "United states of America") + if (allUSA.contains(country)) { + "USA" + } else { + "unknown" + } + } + + // if register UDF with udf function it shows up in plan with UDF + // Registering udf like: + // val normaliseCountry = spark.udf.register("normalisedCountry",cleanCountry) + // doesn't seem to put anything unique in the plan + def genUDFFuncEventLog(spark: SparkSession, size: Int = 1000) = { + import spark.implicits._ + TestUtils.withTempPath { jsonInputFile => + TestUtils.withTempPath { jsonOutFile => + val userData = spark.createDataFrame(Seq( + (1, "Chandler", "Pasadena", "US"), + (2, "Monica", "New york", "USa"), + (3, "Phoebe", "Suny", "USA"), + (4, "Rachael", "St louis", "United states of America"), + (5, "Joey", "LA", "Ussaa"), + (6, "Ross", "Detroit", "United states") + )).toDF("id", "name", "city", "country") + userData.write.json(jsonInputFile.getCanonicalPath) + val userDataRead = spark.read.json(jsonInputFile.getCanonicalPath) + val allUSA = Seq("US", "USa", "USA", "United states", "United states of America") + userDataRead.createOrReplaceTempView("user_data") + val cleanCountryUdf = udf(cleanCountry) + val resDf = userDataRead.withColumn("normalisedCountry", cleanCountryUdf(col("country"))) + resDf.write.json(jsonOutFile.getCanonicalPath) + } + } + } + + /* + * Example command: + * $SPARK_HOME/bin/spark-submit --master local[1] --driver-memory 30g \ + * --jars ./rapids-4-spark-tools/target/rapids-4-spark-tools-21.06.0-SNAPSHOT-tests.jar,\ + * ./rapids-4-spark-tools/target/rapids-4-spark-tools-21.06.0-SNAPSHOT.jar \ + * --class com.nvidia.spark.rapids.tool.profiling.QualificationInfoUtils \ + * ./rapids-4-spark-tools/target/rapids-4-spark-tools-21.06.0-SNAPSHOT-tests.jar udffunc \ + * /tmp/testeventlogDir 100001 + */ + def main(args: Array[String]): Unit = { + if (args.length == 0) { + println(s"ERROR: must specify a logType dataset, udfds, or udffunc") + System.exit(1) + } + val logType = args(0) + if (logType != "dataset" && logType != "udfds" && logType != "udffunc") { + println(s"ERROR: logType must be one of: dataset, udfds, or udffunc") + System.exit(1) + } + val eventDir = if (args.length > 1) args(1) else "/tmp/spark-eventLogTest" + val size = if (args.length > 2) args(2).toInt else 1000 + val spark = { + SparkSession + .builder() + .master("local[*]") + .appName("Rapids Spark Profiling Tool Unit Tests") + .config("spark.eventLog.enabled", "true") + .config("spark.eventLog.dir", eventDir) + .getOrCreate() + } + import spark.implicits._ + if (logType.toLowerCase.equals("dataset")) { + genDatasetEventLog(spark, size) + } else if (logType.toLowerCase.equals("udfds")) { + genUDFDSEventLog(spark, size) + } else if (logType.toLowerCase.equals("udffunc")) { + genUDFFuncEventLog(spark, size) + } else { + println(s"ERROR: Invalid log type specified: $logType") + System.exit(1) + } + spark.stop() + } +} diff --git a/rapids-4-spark-tools/src/test/scala/orga/apache/spark/rapids/TestUtils.scala b/rapids-4-spark-tools/src/test/scala/orga/apache/spark/rapids/TestUtils.scala new file mode 100644 index 00000000000..7ef59701b99 --- /dev/null +++ b/rapids-4-spark-tools/src/test/scala/orga/apache/spark/rapids/TestUtils.scala @@ -0,0 +1,33 @@ +/* + * Copyright (c) 2021, NVIDIA CORPORATION. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.rapids + +import java.io.File + +import org.apache.spark.util.Utils + +/** + * Trampoling to get to the Spark Utils class to use for testing. + */ +object TestUtils { + + def withTempPath(f: File => Unit): Unit = { + val path = Utils.createTempDir() + path.delete() + try f(path) finally Utils.deleteRecursively(path) + } +} diff --git a/workload_profiling/.gitignore b/workload_profiling/.gitignore deleted file mode 100644 index 62f4e172158..00000000000 --- a/workload_profiling/.gitignore +++ /dev/null @@ -1,4 +0,0 @@ -.idea -*.iml -target -event_log_profiling.log