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[CORE] Add GlutenImplicits to get FallbackSummary easily #3599
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212 changes: 212 additions & 0 deletions
212
gluten-core/src/main/scala/org/apache/spark/sql/execution/GlutenImplicits.scala
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| /* | ||
| * Licensed to the Apache Software Foundation (ASF) under one or more | ||
| * contributor license agreements. See the NOTICE file distributed with | ||
| * this work for additional information regarding copyright ownership. | ||
| * The ASF licenses this file to You 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.sql.execution | ||
|
|
||
| import io.glutenproject.execution.WholeStageTransformer | ||
| import io.glutenproject.extension.{GlutenPlan, InMemoryTableScanHelper} | ||
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| import org.apache.spark.sql.{AnalysisException, Dataset} | ||
| import org.apache.spark.sql.catalyst.plans.QueryPlan | ||
| import org.apache.spark.sql.catalyst.plans.logical.{CommandResult, LogicalPlan} | ||
| import org.apache.spark.sql.catalyst.util.StringUtils.PlanStringConcat | ||
| import org.apache.spark.sql.execution.GlutenExplainUtils._ | ||
| import org.apache.spark.sql.execution.adaptive.{AdaptiveSparkPlanExec, AQEShuffleReadExec, QueryStageExec} | ||
| import org.apache.spark.sql.execution.columnar.InMemoryTableScanExec | ||
| import org.apache.spark.sql.execution.command.{DataWritingCommandExec, ExecutedCommandExec} | ||
| import org.apache.spark.sql.execution.datasources.v2.V2CommandExec | ||
| import org.apache.spark.sql.internal.SQLConf | ||
|
|
||
| import scala.collection.mutable | ||
| import scala.collection.mutable.ArrayBuffer | ||
|
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| // spotless:off | ||
| /** | ||
| * A helper class to get the Gluten fallback summary from a Spark [[Dataset]]. | ||
| * | ||
| * Note that, if AQE is enabled, but the query is not materialized, then this method will re-plan | ||
| * the query execution with disabled AQE. It is a workaround to get the final plan, and it may | ||
| * cause the inconsistent results with a materialized query. However, we have no choice. | ||
| * | ||
| * For example: | ||
| * | ||
| * {{{ | ||
| * import org.apache.spark.sql.execution.GlutenImplicits._ | ||
| * val df = spark.sql("SELECT * FROM t") | ||
| * df.fallbackSummary | ||
| * }}} | ||
| */ | ||
| // spotless:on | ||
| object GlutenImplicits { | ||
|
|
||
| case class FallbackSummary( | ||
| numGlutenNodes: Int, | ||
| numFallbackNodes: Int, | ||
| physicalPlanDescription: Seq[String], | ||
| fallbackNodeToReason: Seq[Map[String, String]]) {} | ||
|
|
||
| private[sql] def withSQLConf[T](pairs: (String, String)*)(f: => T): T = { | ||
| val conf = SQLConf.get | ||
| val (keys, values) = pairs.unzip | ||
| val currentValues = keys.map { | ||
| key => | ||
| if (conf.contains(key)) { | ||
| Some(conf.getConfString(key)) | ||
| } else { | ||
| None | ||
| } | ||
| } | ||
| keys.zip(values).foreach { | ||
| case (k, v) => | ||
| if (SQLConf.isStaticConfigKey(k)) { | ||
| throw new AnalysisException(s"Cannot modify the value of a static config: $k") | ||
| } | ||
| conf.setConfString(k, v) | ||
| } | ||
| try f | ||
| finally { | ||
| keys.zip(currentValues).foreach { | ||
| case (key, Some(value)) => conf.setConfString(key, value) | ||
| case (key, None) => conf.unsetConf(key) | ||
| } | ||
| } | ||
| } | ||
|
|
||
| implicit class DatasetTransformer[T](dateset: Dataset[T]) { | ||
| private def isFinalAdaptivePlan(p: AdaptiveSparkPlanExec): Boolean = { | ||
| val args = p.argString(Int.MaxValue) | ||
| val index = args.indexOf("isFinalPlan=") | ||
| assert(index >= 0) | ||
| args.substring(index + "isFinalPlan=".length).trim.toBoolean | ||
| } | ||
|
|
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| private def collectFallbackNodes(plan: QueryPlan[_]): FallbackInfo = { | ||
| var numGlutenNodes = 0 | ||
| val fallbackNodeToReason = new mutable.HashMap[String, String] | ||
|
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| def collect(tmp: QueryPlan[_]): Unit = { | ||
| tmp.foreachUp { | ||
| case _: ExecutedCommandExec => | ||
| case _: CommandResultExec => | ||
| case _: V2CommandExec => | ||
| case _: DataWritingCommandExec => | ||
| case _: WholeStageCodegenExec => | ||
| case _: WholeStageTransformer => | ||
| case _: InputAdapter => | ||
| case _: ColumnarToRowTransition => | ||
| case _: RowToColumnarTransition => | ||
| case p: AdaptiveSparkPlanExec if isFinalAdaptivePlan(p) => | ||
| collect(p.executedPlan) | ||
| case p: AdaptiveSparkPlanExec => | ||
| // if we are here that means we are inside table cache. | ||
| val (innerNumGlutenNodes, innerFallbackNodeToReason) = | ||
| withSQLConf(SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "false") { | ||
| // re-plan manually to skip cached data | ||
| val newSparkPlan = QueryExecution.createSparkPlan( | ||
| dateset.sparkSession, | ||
| dateset.sparkSession.sessionState.planner, | ||
| p.inputPlan.logicalLink.get) | ||
| val newExecutedPlan = QueryExecution.prepareExecutedPlan( | ||
| dateset.sparkSession, | ||
| newSparkPlan | ||
| ) | ||
| processPlan( | ||
| newExecutedPlan, | ||
| new PlanStringConcat().append, | ||
| Some(plan => collectFallbackNodes(plan))) | ||
| } | ||
| numGlutenNodes += innerNumGlutenNodes | ||
| fallbackNodeToReason.++=(innerFallbackNodeToReason) | ||
| case p: QueryStageExec => collect(p.plan) | ||
| case p: GlutenPlan => | ||
| numGlutenNodes += 1 | ||
| p.innerChildren.foreach(collect) | ||
| case i: InMemoryTableScanExec => | ||
| if (InMemoryTableScanHelper.isGlutenTableCache(i)) { | ||
| numGlutenNodes += 1 | ||
| } else { | ||
| addFallbackNodeWithReason(i, "Columnar table cache is disabled", fallbackNodeToReason) | ||
| } | ||
| collect(i.relation.cachedPlan) | ||
| case _: AQEShuffleReadExec => // Ignore | ||
| case p: SparkPlan => | ||
| handleVanillaSparkPlan(p, fallbackNodeToReason) | ||
| p.innerChildren.foreach(collect) | ||
| case _ => | ||
| } | ||
| } | ||
|
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| collect(plan) | ||
| (numGlutenNodes, fallbackNodeToReason.toMap) | ||
| } | ||
|
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| private def collectQueryExecutionFallbackSummary(qe: QueryExecution): FallbackSummary = { | ||
| var totalNumGlutenNodes = 0 | ||
| var totalNumFallbackNodes = 0 | ||
| val totalPhysicalPlanDescription = new ArrayBuffer[String]() | ||
| val totalFallbackNodeToReason = new ArrayBuffer[Map[String, String]]() | ||
|
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| def handlePlanWithAQEAndTableCache( | ||
| plan: SparkPlan, | ||
| logicalPlan: LogicalPlan, | ||
| isMaterialized: Boolean): Unit = { | ||
| val concat = new PlanStringConcat() | ||
| val collectFallbackFunc = Some(plan => collectFallbackNodes(plan)) | ||
| val (numGlutenNodes, fallbackNodeToReason) = if (!isMaterialized) { | ||
| withSQLConf(SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "false") { | ||
| // AQE is not materialized, so the columnar rules are not applied. | ||
| // For this case, We apply columnar rules manually with disable AQE. | ||
| val qe = dateset.sparkSession.sessionState.executePlan(logicalPlan) | ||
| processPlan(qe.executedPlan, concat.append, collectFallbackFunc) | ||
| } | ||
| } else { | ||
| processPlan(plan, concat.append, collectFallbackFunc) | ||
| } | ||
| totalNumGlutenNodes += numGlutenNodes | ||
| totalNumFallbackNodes += fallbackNodeToReason.size | ||
| totalPhysicalPlanDescription.append(concat.toString()) | ||
| totalFallbackNodeToReason.append(fallbackNodeToReason) | ||
| } | ||
|
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| // For command-like query, e.g., `INSERT INTO TABLE ...` | ||
| qe.commandExecuted.foreach { | ||
| case r: CommandResult => | ||
| handlePlanWithAQEAndTableCache(r.commandPhysicalPlan, r.commandLogicalPlan, true) | ||
| case _ => // ignore | ||
| } | ||
|
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| // For query, e.g., `SELECT * FROM ...` | ||
| if (qe.executedPlan.find(_.isInstanceOf[CommandResultExec]).isEmpty) { | ||
| val isMaterialized = qe.executedPlan.find { | ||
| case a: AdaptiveSparkPlanExec if isFinalAdaptivePlan(a) => true | ||
| case _ => false | ||
| }.isDefined | ||
| handlePlanWithAQEAndTableCache(qe.executedPlan, qe.analyzed, isMaterialized) | ||
| } | ||
|
|
||
| FallbackSummary( | ||
| totalNumGlutenNodes, | ||
| totalNumFallbackNodes, | ||
| totalPhysicalPlanDescription, | ||
| totalFallbackNodeToReason | ||
| ) | ||
| } | ||
|
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| def fallbackSummary(): FallbackSummary = { | ||
| collectQueryExecutionFallbackSummary(dateset.queryExecution) | ||
| } | ||
| } | ||
| } |
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This feature is not workable for CH backend? cc @zzcclp.
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It should work with CH backend. There are some different behavior, so I disable these tests for CH backend. e.g., velox backend would add one more project before shuffle, velox backend supports columnar cache, etc..