spark ContinuousRecordEndpoint 源码
spark ContinuousRecordEndpoint 代码
文件路径：/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/ContinuousRecordEndpoint.scala
/*
* 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 scala.collection.mutable
import org.apache.spark.SparkEnv
import org.apache.spark.rpc.{RpcCallContext, RpcEnv, ThreadSafeRpcEndpoint}
import org.apache.spark.sql.catalyst.expressions.UnsafeRow
import org.apache.spark.sql.connector.read.streaming.PartitionOffset
case class ContinuousRecordPartitionOffset(partitionId: Int, offset: Int) extends PartitionOffset
case class GetRecord(offset: ContinuousRecordPartitionOffset)
/**
* A RPC end point for continuous readers to poll for
* records from the driver.
*
* @param buckets the data buckets. Each bucket contains a sequence of items to be
* returned for a partition. The number of buckets should be equal to
* to the number of partitions.
* @param lock a lock object for locking the buckets for read
*/
class ContinuousRecordEndpoint(buckets: Seq[mutable.Seq[UnsafeRow]], lock: Object)
extends ThreadSafeRpcEndpoint {
private var startOffsets: Seq[Int] = List.fill(buckets.size)(0)
/**
* Sets the start offset.
*
* @param offsets the base offset per partition to be used
* while retrieving the data in {#receiveAndReply}.
*/
def setStartOffsets(offsets: Seq[Int]): Unit = {
lock.synchronized {
startOffsets = offsets
}
}
override val rpcEnv: RpcEnv = SparkEnv.get.rpcEnv
/**
* Process messages from `RpcEndpointRef.ask`. If receiving a unmatched message,
* `SparkException` will be thrown and sent to `onError`.
*/
override def receiveAndReply(context: RpcCallContext): PartialFunction[Any, Unit] = {
case GetRecord(ContinuousRecordPartitionOffset(partitionId, offset)) =>
lock.synchronized {
val bufOffset = offset - startOffsets(partitionId)
val buf = buckets(partitionId)
val record = if (buf.size <= bufOffset) None else Some(buf(bufOffset))
context.reply(record)
}
}
}
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