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[SPARK-25415][SQL] Make plan change log in RuleExecutor configurable …
…by SQLConf
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148 changes: 148 additions & 0 deletions
148
...talyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/OptimizerLoggingSuite.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. | ||
| */ | ||
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| package org.apache.spark.sql.catalyst.optimizer | ||
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| import scala.collection.mutable.ArrayBuffer | ||
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| import org.apache.log4j.{Appender, AppenderSkeleton, Level, Logger} | ||
| import org.apache.log4j.spi.LoggingEvent | ||
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| import org.apache.spark.sql.catalyst.dsl.expressions._ | ||
| import org.apache.spark.sql.catalyst.dsl.plans._ | ||
| import org.apache.spark.sql.catalyst.plans.PlanTest | ||
| import org.apache.spark.sql.catalyst.plans.logical.{LocalRelation, LogicalPlan} | ||
| import org.apache.spark.sql.catalyst.rules.RuleExecutor | ||
| import org.apache.spark.sql.internal.SQLConf | ||
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| class OptimizerLoggingSuite extends PlanTest { | ||
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| object Optimize extends RuleExecutor[LogicalPlan] { | ||
| val batches = Batch("Optimizer Batch", FixedPoint(100), | ||
| PushDownPredicate, | ||
| ColumnPruning, | ||
| CollapseProject) :: Nil | ||
| } | ||
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| class MockAppender extends AppenderSkeleton { | ||
| val loggingEvents = new ArrayBuffer[LoggingEvent]() | ||
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| override def append(loggingEvent: LoggingEvent): Unit = { | ||
| if (loggingEvent.getRenderedMessage().contains("Applying Rule")) { | ||
| loggingEvents.append(loggingEvent) | ||
| } | ||
| } | ||
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| override def close(): Unit = {} | ||
| override def requiresLayout(): Boolean = false | ||
| } | ||
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| private def withLogLevelAndAppender(level: Level, appender: Appender)(f: => Unit): Unit = { | ||
| val logger = Logger.getLogger(Optimize.getClass.getName.dropRight(1)) | ||
| val restoreLevel = logger.getLevel | ||
| logger.setLevel(level) | ||
| logger.addAppender(appender) | ||
| try f finally { | ||
| logger.setLevel(restoreLevel) | ||
| logger.removeAppender(appender) | ||
| } | ||
| } | ||
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| private def verifyLog(expectedLevel: Level, expectedRules: Seq[String]): Unit = { | ||
| val logAppender = new MockAppender() | ||
| withLogLevelAndAppender(Level.TRACE, logAppender) { | ||
| val input = LocalRelation('a.int, 'b.string, 'c.double) | ||
| val query = input.select('a, 'b).select('a).where('a > 1).analyze | ||
| val expected = input.where('a > 1).select('a).analyze | ||
| comparePlans(Optimize.execute(query), expected) | ||
| } | ||
| val logMessages = logAppender.loggingEvents.map(_.getRenderedMessage) | ||
| assert(expectedRules.forall(rule => logMessages.exists(_.contains(rule)))) | ||
| assert(logAppender.loggingEvents.forall(_.getLevel == expectedLevel)) | ||
| } | ||
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| test("test log level") { | ||
| val levels = Seq( | ||
| "TRACE" -> Level.TRACE, | ||
| "trace" -> Level.TRACE, | ||
| "DEBUG" -> Level.DEBUG, | ||
| "debug" -> Level.DEBUG, | ||
| "INFO" -> Level.INFO, | ||
| "info" -> Level.INFO, | ||
| "WARN" -> Level.WARN, | ||
| "warn" -> Level.WARN, | ||
| "ERROR" -> Level.ERROR, | ||
| "error" -> Level.ERROR, | ||
| "deBUG" -> Level.DEBUG) | ||
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| levels.foreach { level => | ||
| withSQLConf(SQLConf.OPTIMIZER_PLAN_CHANGE_LOG_LEVEL.key -> level._1) { | ||
| verifyLog( | ||
| level._2, | ||
| Seq( | ||
| PushDownPredicate.ruleName, | ||
| ColumnPruning.ruleName, | ||
| CollapseProject.ruleName)) | ||
| } | ||
| } | ||
| } | ||
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| test("test invalid log level conf") { | ||
| val levels = Seq( | ||
| "", | ||
| "*d_", | ||
| "infoo") | ||
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| levels.foreach { level => | ||
| val error = intercept[IllegalArgumentException] { | ||
| withSQLConf(SQLConf.OPTIMIZER_PLAN_CHANGE_LOG_LEVEL.key -> level) {} | ||
| } | ||
| assert(error.getMessage.contains( | ||
| "Invalid value for 'spark.sql.optimizer.planChangeLog.level'.")) | ||
| } | ||
| } | ||
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| test("test log rules") { | ||
| val rulesSeq = Seq( | ||
| Seq(PushDownPredicate.ruleName, | ||
| ColumnPruning.ruleName, | ||
| CollapseProject.ruleName).reduce(_ + "," + _) -> | ||
| Seq(PushDownPredicate.ruleName, | ||
| ColumnPruning.ruleName, | ||
| CollapseProject.ruleName), | ||
| Seq(PushDownPredicate.ruleName, | ||
| ColumnPruning.ruleName).reduce(_ + "," + _) -> | ||
| Seq(PushDownPredicate.ruleName, | ||
| ColumnPruning.ruleName), | ||
| CollapseProject.ruleName -> | ||
| Seq(CollapseProject.ruleName), | ||
| Seq(ColumnPruning.ruleName, | ||
| "DummyRule").reduce(_ + "," + _) -> | ||
| Seq(ColumnPruning.ruleName), | ||
| "DummyRule" -> Seq(), | ||
| "" -> Seq() | ||
| ) | ||
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| rulesSeq.foreach { case (rulesConf, expectedRules) => | ||
| withSQLConf( | ||
| SQLConf.OPTIMIZER_PLAN_CHANGE_LOG_RULES.key -> rulesConf, | ||
| SQLConf.OPTIMIZER_PLAN_CHANGE_LOG_LEVEL.key -> "INFO") { | ||
| verifyLog(Level.INFO, expectedRules) | ||
| } | ||
| } | ||
| } | ||
| } |