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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.streaming
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.errors._
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.catalyst.expressions.codegen.GenerateUnsafeProjection
import org.apache.spark.sql.execution
import org.apache.spark.sql.execution.streaming.state._
import org.apache.spark.sql.execution.SparkPlan
/** Used to identify the state store for a given operator. */
case class OperatorStateId(
checkpointLocation: String,
operatorId: Long,
batchId: Long)
/**
* An operator that saves or restores state from the [[StateStore]]. The [[OperatorStateId]] should
* be filled in by `prepareForExecution` in [[IncrementalExecution]].
*/
trait StatefulOperator extends SparkPlan {
def stateId: Option[OperatorStateId]
protected def getStateId: OperatorStateId = attachTree(this) {
stateId.getOrElse {
throw new IllegalStateException("State location not present for execution")
}
}
}
/**
* For each input tuple, the key is calculated and the value from the [[StateStore]] is added
* to the stream (in addition to the input tuple) if present.
*/
case class StateStoreRestoreExec(
keyExpressions: Seq[Attribute],
stateId: Option[OperatorStateId],
child: SparkPlan)
extends execution.UnaryExecNode with StatefulOperator {
override protected def doExecute(): RDD[InternalRow] = {
child.execute().mapPartitionsWithStateStore(
getStateId.checkpointLocation,
operatorId = getStateId.operatorId,
storeVersion = getStateId.batchId,
keyExpressions.toStructType,
child.output.toStructType,
sqlContext.sessionState,
Some(sqlContext.streams.stateStoreCoordinator)) { case (store, iter) =>
val getKey = GenerateUnsafeProjection.generate(keyExpressions, child.output)
iter.flatMap { row =>
val key = getKey(row)
val savedState = store.get(key)
row +: savedState.toSeq
}
}
}
override def output: Seq[Attribute] = child.output
}
/**
* For each input tuple, the key is calculated and the tuple is `put` into the [[StateStore]].
*/
case class StateStoreSaveExec(
keyExpressions: Seq[Attribute],
stateId: Option[OperatorStateId],
child: SparkPlan)
extends execution.UnaryExecNode with StatefulOperator {
override protected def doExecute(): RDD[InternalRow] = {
child.execute().mapPartitionsWithStateStore(
getStateId.checkpointLocation,
operatorId = getStateId.operatorId,
storeVersion = getStateId.batchId,
keyExpressions.toStructType,
child.output.toStructType,
sqlContext.sessionState,
Some(sqlContext.streams.stateStoreCoordinator)) { case (store, iter) =>
new Iterator[InternalRow] {
private[this] val baseIterator = iter
private[this] val getKey = GenerateUnsafeProjection.generate(keyExpressions, child.output)
override def hasNext: Boolean = {
if (!baseIterator.hasNext) {
store.commit()
false
} else {
true
}
}
override def next(): InternalRow = {
val row = baseIterator.next().asInstanceOf[UnsafeRow]
val key = getKey(row)
store.put(key.copy(), row.copy())
row
}
}
}
}
override def output: Seq[Attribute] = child.output
}
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