Many resources are needed to download a project. Please understand that we have to compensate our server costs. Thank you in advance. Project price only 1 $
You can buy this project and download/modify it how often you want.
/*
* 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.streaming
import scala.collection.mutable
import org.apache.hadoop.fs.Path
import org.apache.spark.annotation.Experimental
import org.apache.spark.sql.{AnalysisException, DataFrame, SparkSession}
import org.apache.spark.sql.catalyst.analysis.UnsupportedOperationChecker
import org.apache.spark.sql.execution.streaming._
import org.apache.spark.sql.execution.streaming.state.StateStoreCoordinatorRef
import org.apache.spark.sql.internal.SQLConf
import org.apache.spark.util.{Clock, SystemClock, Utils}
/**
* :: Experimental ::
* A class to manage all the [[StreamingQuery]] active on a [[SparkSession]].
*
* @since 2.0.0
*/
@Experimental
class StreamingQueryManager private[sql] (sparkSession: SparkSession) {
private[sql] val stateStoreCoordinator =
StateStoreCoordinatorRef.forDriver(sparkSession.sparkContext.env)
private val listenerBus = new StreamingQueryListenerBus(sparkSession.sparkContext.listenerBus)
private val activeQueries = new mutable.HashMap[Long, StreamingQuery]
private val activeQueriesLock = new Object
private val awaitTerminationLock = new Object
private var lastTerminatedQuery: StreamingQuery = null
/**
* Returns a list of active queries associated with this SQLContext
*
* @since 2.0.0
*/
def active: Array[StreamingQuery] = activeQueriesLock.synchronized {
activeQueries.values.toArray
}
/**
* Returns the query if there is an active query with the given id, or null.
*
* @since 2.0.0
*/
def get(id: Long): StreamingQuery = activeQueriesLock.synchronized {
activeQueries.get(id).orNull
}
/**
* Wait until any of the queries on the associated SQLContext has terminated since the
* creation of the context, or since `resetTerminated()` was called. If any query was terminated
* with an exception, then the exception will be thrown.
*
* If a query has terminated, then subsequent calls to `awaitAnyTermination()` will either
* return immediately (if the query was terminated by `query.stop()`),
* or throw the exception immediately (if the query was terminated with exception). Use
* `resetTerminated()` to clear past terminations and wait for new terminations.
*
* In the case where multiple queries have terminated since `resetTermination()` was called,
* if any query has terminated with exception, then `awaitAnyTermination()` will
* throw any of the exception. For correctly documenting exceptions across multiple queries,
* users need to stop all of them after any of them terminates with exception, and then check the
* `query.exception()` for each query.
*
* @throws StreamingQueryException, if any query has terminated with an exception
*
* @since 2.0.0
*/
def awaitAnyTermination(): Unit = {
awaitTerminationLock.synchronized {
while (lastTerminatedQuery == null) {
awaitTerminationLock.wait(10)
}
if (lastTerminatedQuery != null && lastTerminatedQuery.exception.nonEmpty) {
throw lastTerminatedQuery.exception.get
}
}
}
/**
* Wait until any of the queries on the associated SQLContext has terminated since the
* creation of the context, or since `resetTerminated()` was called. Returns whether any query
* has terminated or not (multiple may have terminated). If any query has terminated with an
* exception, then the exception will be thrown.
*
* If a query has terminated, then subsequent calls to `awaitAnyTermination()` will either
* return `true` immediately (if the query was terminated by `query.stop()`),
* or throw the exception immediately (if the query was terminated with exception). Use
* `resetTerminated()` to clear past terminations and wait for new terminations.
*
* In the case where multiple queries have terminated since `resetTermination()` was called,
* if any query has terminated with exception, then `awaitAnyTermination()` will
* throw any of the exception. For correctly documenting exceptions across multiple queries,
* users need to stop all of them after any of them terminates with exception, and then check the
* `query.exception()` for each query.
*
* @throws StreamingQueryException, if any query has terminated with an exception
*
* @since 2.0.0
*/
def awaitAnyTermination(timeoutMs: Long): Boolean = {
val startTime = System.currentTimeMillis
def isTimedout = System.currentTimeMillis - startTime >= timeoutMs
awaitTerminationLock.synchronized {
while (!isTimedout && lastTerminatedQuery == null) {
awaitTerminationLock.wait(10)
}
if (lastTerminatedQuery != null && lastTerminatedQuery.exception.nonEmpty) {
throw lastTerminatedQuery.exception.get
}
lastTerminatedQuery != null
}
}
/**
* Forget about past terminated queries so that `awaitAnyTermination()` can be used again to
* wait for new terminations.
*
* @since 2.0.0
*/
def resetTerminated(): Unit = {
awaitTerminationLock.synchronized {
lastTerminatedQuery = null
}
}
/**
* Register a [[StreamingQueryListener]] to receive up-calls for life cycle events of
* [[StreamingQuery]].
*
* @since 2.0.0
*/
def addListener(listener: StreamingQueryListener): Unit = {
listenerBus.addListener(listener)
}
/**
* Deregister a [[StreamingQueryListener]].
*
* @since 2.0.0
*/
def removeListener(listener: StreamingQueryListener): Unit = {
listenerBus.removeListener(listener)
}
/** Post a listener event */
private[sql] def postListenerEvent(event: StreamingQueryListener.Event): Unit = {
listenerBus.post(event)
}
/**
* Start a [[StreamingQuery]].
* @param userSpecifiedName Query name optionally specified by the user.
* @param userSpecifiedCheckpointLocation Checkpoint location optionally specified by the user.
* @param df Streaming DataFrame.
* @param sink Sink to write the streaming outputs.
* @param outputMode Output mode for the sink.
* @param useTempCheckpointLocation Whether to use a temporary checkpoint location when the user
* has not specified one. If false, then error will be thrown.
* @param recoverFromCheckpointLocation Whether to recover query from the checkpoint location.
* If false and the checkpoint location exists, then error
* will be thrown.
* @param trigger [[Trigger]] for the query.
* @param triggerClock [[Clock]] to use for the triggering.
*/
private[sql] def startQuery(
userSpecifiedName: Option[String],
userSpecifiedCheckpointLocation: Option[String],
df: DataFrame,
sink: Sink,
outputMode: OutputMode,
useTempCheckpointLocation: Boolean = false,
recoverFromCheckpointLocation: Boolean = true,
trigger: Trigger = ProcessingTime(0),
triggerClock: Clock = new SystemClock()): StreamingQuery = {
activeQueriesLock.synchronized {
val id = StreamExecution.nextId
val name = userSpecifiedName.getOrElse(s"query-$id")
if (activeQueries.values.exists(_.name == name)) {
throw new IllegalArgumentException(
s"Cannot start query with name $name as a query with that name is already active")
}
val checkpointLocation = userSpecifiedCheckpointLocation.map { userSpecified =>
new Path(userSpecified).toUri.toString
}.orElse {
df.sparkSession.conf.get(SQLConf.CHECKPOINT_LOCATION).map { location =>
new Path(location, name).toUri.toString
}
}.getOrElse {
if (useTempCheckpointLocation) {
Utils.createTempDir(namePrefix = s"temporary").getCanonicalPath
} else {
throw new AnalysisException(
"checkpointLocation must be specified either " +
"""through option("checkpointLocation", ...) or """ +
s"""SparkSession.conf.set("${SQLConf.CHECKPOINT_LOCATION.key}", ...)""")
}
}
// If offsets have already been created, we trying to resume a query.
if (!recoverFromCheckpointLocation) {
val checkpointPath = new Path(checkpointLocation, "offsets")
val fs = checkpointPath.getFileSystem(df.sparkSession.sessionState.newHadoopConf())
if (fs.exists(checkpointPath)) {
throw new AnalysisException(
s"This query does not support recovering from checkpoint location. " +
s"Delete $checkpointPath to start over.")
}
}
val analyzedPlan = df.queryExecution.analyzed
df.queryExecution.assertAnalyzed()
if (sparkSession.conf.get(SQLConf.UNSUPPORTED_OPERATION_CHECK_ENABLED)) {
UnsupportedOperationChecker.checkForStreaming(analyzedPlan, outputMode)
}
var nextSourceId = 0L
val logicalPlan = analyzedPlan.transform {
case StreamingRelation(dataSource, _, output) =>
// Materialize source to avoid creating it in every batch
val metadataPath = s"$checkpointLocation/sources/$nextSourceId"
val source = dataSource.createSource(metadataPath)
nextSourceId += 1
// We still need to use the previous `output` instead of `source.schema` as attributes in
// "df.logicalPlan" has already used attributes of the previous `output`.
StreamingExecutionRelation(source, output)
}
val query = new StreamExecution(
sparkSession,
id,
name,
checkpointLocation,
logicalPlan,
sink,
trigger,
triggerClock,
outputMode)
query.start()
activeQueries.put(id, query)
query
}
}
/** Notify (by the StreamingQuery) that the query has been terminated */
private[sql] def notifyQueryTermination(terminatedQuery: StreamingQuery): Unit = {
activeQueriesLock.synchronized {
activeQueries -= terminatedQuery.id
}
awaitTerminationLock.synchronized {
if (lastTerminatedQuery == null || terminatedQuery.exception.nonEmpty) {
lastTerminatedQuery = terminatedQuery
}
awaitTerminationLock.notifyAll()
}
}
}
