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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.storage
import org.apache.spark.network.buffer.{ManagedBuffer, NettyManagedBuffer}
import org.apache.spark.util.io.ChunkedByteBuffer
/**
* This [[ManagedBuffer]] wraps a [[ChunkedByteBuffer]] retrieved from the [[BlockManager]]
* so that the corresponding block's read lock can be released once this buffer's references
* are released.
*
* This is effectively a wrapper / bridge to connect the BlockManager's notion of read locks
* to the network layer's notion of retain / release counts.
*/
private[storage] class BlockManagerManagedBuffer(
blockManager: BlockManager,
blockId: BlockId,
chunkedBuffer: ChunkedByteBuffer) extends NettyManagedBuffer(chunkedBuffer.toNetty) {
override def retain(): ManagedBuffer = {
super.retain()
val locked = blockManager.blockInfoManager.lockForReading(blockId, blocking = false)
assert(locked.isDefined)
this
}
override def release(): ManagedBuffer = {
blockManager.releaseLock(blockId)
super.release()
}
}
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