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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 java.util.concurrent.{ConcurrentHashMap, ExecutorService, Future => JFuture}
import java.util.concurrent.atomic.AtomicLong
import org.apache.spark.{ErrorMessageFormat, SparkContext, SparkThrowable, SparkThrowableHelper}
import org.apache.spark.internal.config.{SPARK_DRIVER_PREFIX, SPARK_EXECUTOR_PREFIX}
import org.apache.spark.internal.config.Tests.IS_TESTING
import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.execution.ui.{SparkListenerSQLExecutionEnd, SparkListenerSQLExecutionStart}
import org.apache.spark.sql.internal.StaticSQLConf.SQL_EVENT_TRUNCATE_LENGTH
import org.apache.spark.util.Utils
object SQLExecution {
val EXECUTION_ID_KEY = "spark.sql.execution.id"
val EXECUTION_ROOT_ID_KEY = "spark.sql.execution.root.id"
private val _nextExecutionId = new AtomicLong(0)
private def nextExecutionId: Long = _nextExecutionId.getAndIncrement
private val executionIdToQueryExecution = new ConcurrentHashMap[Long, QueryExecution]()
def getQueryExecution(executionId: Long): QueryExecution = {
executionIdToQueryExecution.get(executionId)
}
private val testing = sys.props.contains(IS_TESTING.key)
private[sql] def checkSQLExecutionId(sparkSession: SparkSession): Unit = {
val sc = sparkSession.sparkContext
// only throw an exception during tests. a missing execution ID should not fail a job.
if (testing && sc.getLocalProperty(EXECUTION_ID_KEY) == null) {
// Attention testers: when a test fails with this exception, it means that the action that
// started execution of a query didn't call withNewExecutionId. The execution ID should be
// set by calling withNewExecutionId in the action that begins execution, like
// Dataset.collect or DataFrameWriter.insertInto.
throw new IllegalStateException("Execution ID should be set")
}
}
/**
* Wrap an action that will execute "queryExecution" to track all Spark jobs in the body so that
* we can connect them with an execution.
*/
def withNewExecutionId[T](
queryExecution: QueryExecution,
name: Option[String] = None)(body: => T): T = queryExecution.sparkSession.withActive {
val sparkSession = queryExecution.sparkSession
val sc = sparkSession.sparkContext
val oldExecutionId = sc.getLocalProperty(EXECUTION_ID_KEY)
val executionId = SQLExecution.nextExecutionId
sc.setLocalProperty(EXECUTION_ID_KEY, executionId.toString)
// Track the "root" SQL Execution Id for nested/sub queries. The current execution is the
// root execution if the root execution ID is null.
// And for the root execution, rootExecutionId == executionId.
if (sc.getLocalProperty(EXECUTION_ROOT_ID_KEY) == null) {
sc.setLocalProperty(EXECUTION_ROOT_ID_KEY, executionId.toString)
}
val rootExecutionId = sc.getLocalProperty(EXECUTION_ROOT_ID_KEY).toLong
executionIdToQueryExecution.put(executionId, queryExecution)
try {
// sparkContext.getCallSite() would first try to pick up any call site that was previously
// set, then fall back to Utils.getCallSite(); call Utils.getCallSite() directly on
// streaming queries would give us call site like "run at :0"
val callSite = sc.getCallSite()
val truncateLength = sc.conf.get(SQL_EVENT_TRUNCATE_LENGTH)
val desc = Option(sc.getLocalProperty(SparkContext.SPARK_JOB_DESCRIPTION))
.filter(_ => truncateLength > 0)
.map { sqlStr =>
val redactedStr = Utils
.redact(sparkSession.sessionState.conf.stringRedactionPattern, sqlStr)
redactedStr.substring(0, Math.min(truncateLength, redactedStr.length))
}.getOrElse(callSite.shortForm)
val planDescriptionMode =
ExplainMode.fromString(sparkSession.sessionState.conf.uiExplainMode)
val globalConfigs = sparkSession.sharedState.conf.getAll.toMap
val modifiedConfigs = sparkSession.sessionState.conf.getAllConfs
.filterNot { case (key, value) =>
key.startsWith(SPARK_DRIVER_PREFIX) ||
key.startsWith(SPARK_EXECUTOR_PREFIX) ||
globalConfigs.get(key).contains(value)
}
val redactedConfigs = sparkSession.sessionState.conf.redactOptions(modifiedConfigs)
withSQLConfPropagated(sparkSession) {
var ex: Option[Throwable] = None
val startTime = System.nanoTime()
try {
sc.listenerBus.post(SparkListenerSQLExecutionStart(
executionId = executionId,
rootExecutionId = Some(rootExecutionId),
description = desc,
details = callSite.longForm,
physicalPlanDescription = queryExecution.explainString(planDescriptionMode),
// `queryExecution.executedPlan` triggers query planning. If it fails, the exception
// will be caught and reported in the `SparkListenerSQLExecutionEnd`
sparkPlanInfo = SparkPlanInfo.fromSparkPlan(queryExecution.executedPlan),
time = System.currentTimeMillis(),
modifiedConfigs = redactedConfigs,
jobTags = sc.getJobTags()
))
body
} catch {
case e: Throwable =>
ex = Some(e)
throw e
} finally {
val endTime = System.nanoTime()
val errorMessage = ex.map {
case e: SparkThrowable =>
SparkThrowableHelper.getMessage(e, ErrorMessageFormat.PRETTY)
case e =>
Utils.exceptionString(e)
}
val event = SparkListenerSQLExecutionEnd(
executionId,
System.currentTimeMillis(),
// Use empty string to indicate no error, as None may mean events generated by old
// versions of Spark.
errorMessage.orElse(Some("")))
// Currently only `Dataset.withAction` and `DataFrameWriter.runCommand` specify the `name`
// parameter. The `ExecutionListenerManager` only watches SQL executions with name. We
// can specify the execution name in more places in the future, so that
// `QueryExecutionListener` can track more cases.
event.executionName = name
event.duration = endTime - startTime
event.qe = queryExecution
event.executionFailure = ex
sc.listenerBus.post(event)
}
}
} finally {
executionIdToQueryExecution.remove(executionId)
sc.setLocalProperty(EXECUTION_ID_KEY, oldExecutionId)
// Unset the "root" SQL Execution Id once the "root" SQL execution completes.
// The current execution is the root execution if rootExecutionId == executionId.
if (sc.getLocalProperty(EXECUTION_ROOT_ID_KEY) == executionId.toString) {
sc.setLocalProperty(EXECUTION_ROOT_ID_KEY, null)
}
}
}
/**
* Wrap an action with a known executionId. When running a different action in a different
* thread from the original one, this method can be used to connect the Spark jobs in this action
* with the known executionId, e.g., `BroadcastExchangeExec.relationFuture`.
*/
def withExecutionId[T](sparkSession: SparkSession, executionId: String)(body: => T): T = {
val sc = sparkSession.sparkContext
val oldExecutionId = sc.getLocalProperty(SQLExecution.EXECUTION_ID_KEY)
withSQLConfPropagated(sparkSession) {
try {
sc.setLocalProperty(SQLExecution.EXECUTION_ID_KEY, executionId)
body
} finally {
sc.setLocalProperty(SQLExecution.EXECUTION_ID_KEY, oldExecutionId)
}
}
}
/**
* Wrap an action with specified SQL configs. These configs will be propagated to the executor
* side via job local properties.
*/
def withSQLConfPropagated[T](sparkSession: SparkSession)(body: => T): T = {
val sc = sparkSession.sparkContext
// Set all the specified SQL configs to local properties, so that they can be available at
// the executor side.
val allConfigs = sparkSession.sessionState.conf.getAllConfs
val originalLocalProps = allConfigs.collect {
case (key, value) if key.startsWith("spark") =>
val originalValue = sc.getLocalProperty(key)
sc.setLocalProperty(key, value)
(key, originalValue)
}
try {
body
} finally {
for ((key, value) <- originalLocalProps) {
sc.setLocalProperty(key, value)
}
}
}
/**
* Wrap passed function to ensure necessary thread-local variables like
* SparkContext local properties are forwarded to execution thread
*/
def withThreadLocalCaptured[T](
sparkSession: SparkSession, exec: ExecutorService) (body: => T): JFuture[T] = {
val activeSession = sparkSession
val sc = sparkSession.sparkContext
val localProps = Utils.cloneProperties(sc.getLocalProperties)
exec.submit(() => {
val originalSession = SparkSession.getActiveSession
val originalLocalProps = sc.getLocalProperties
SparkSession.setActiveSession(activeSession)
sc.setLocalProperties(localProps)
val res = body
// reset active session and local props.
sc.setLocalProperties(originalLocalProps)
if (originalSession.nonEmpty) {
SparkSession.setActiveSession(originalSession.get)
} else {
SparkSession.clearActiveSession()
}
res
})
}
}
