log4j.logger.org.apache.spark.storage.BlockManagerMaster=INFO
BlockManagerMaster — BlockManager for Driver
BlockManagerMaster runs on the driver and executors.
BlockManagerMaster uses BlockManagerMasterEndpoint registered under BlockManagerMaster RPC endpoint name on the driver (with the endpoint references on executors) to allow executors for sending block status updates to it and hence keep track of block statuses.
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Note
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An instance of BlockManagerMaster is created in SparkEnv (for the driver and executors), and immediately used to create their BlockManagers.
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Tip
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Enable Add the following line to Refer to Logging. |
Creating BlockManagerMaster Instance
An instance of BlockManagerMaster requires a BlockManagerMaster RPC endpoint reference, SparkConf, and the isDriver flag to control whether it is created for the driver or executors.
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Note
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An instance of BlockManagerMaster is created as part of creating an instance of SparkEnv for the driver and executors.
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Removing Executor (removeExecutor method)
removeExecutor(execId: String): Unit
removeExecutor posts RemoveExecutor(execId) to BlockManagerMaster RPC endpoint and waits for a response.
If false in response comes in, a SparkException is thrown with the following message:
BlockManagerMasterEndpoint returned false, expected true.
If all goes fine, you should see the following INFO message in the logs:
INFO BlockManagerMaster: Removed executor [execId]
Removing Block — removeBlock Method
removeBlock(blockId: BlockId): Unit
removeBlock simply posts a RemoveBlock blocking message to BlockManagerMaster RPC endpoint (and ultimately disregards the reponse).
Removing RDD Blocks (removeRdd method)
removeRdd(rddId: Int, blocking: Boolean)
removeRdd removes all the blocks of rddId RDD, possibly in a blocking fashion.
It posts a RemoveRdd(rddId) message to BlockManagerMaster RPC endpoint on a separate thread.
If there is an issue, you should see the following WARN message in the logs and the entire exception:
WARN Failed to remove RDD [rddId] - [exception]
If it is a blocking operation, it waits for a result for spark.rpc.askTimeout, spark.network.timeout or 120 secs.
Removing Shuffle Blocks (removeShuffle method)
removeShuffle(shuffleId: Int, blocking: Boolean)
removeShuffle removes all the blocks of shuffleId shuffle, possibly in a blocking fashion.
It posts a RemoveShuffle(shuffleId) message to BlockManagerMaster RPC endpoint on a separate thread.
If there is an issue, you should see the following WARN message in the logs and the entire exception:
WARN Failed to remove shuffle [shuffleId] - [exception]
If it is a blocking operation, it waits for the result for spark.rpc.askTimeout, spark.network.timeout or 120 secs.
Removing Broadcast Blocks (removeBroadcast method)
removeBroadcast(broadcastId: Long, removeFromMaster: Boolean, blocking: Boolean)
removeBroadcast removes all the blocks of broadcastId broadcast, possibly in a blocking fashion.
It posts a RemoveBroadcast(broadcastId, removeFromMaster) message to BlockManagerMaster RPC endpoint on a separate thread.
If there is an issue, you should see the following WARN message in the logs and the entire exception:
WARN Failed to remove broadcast [broadcastId] with removeFromMaster = [removeFromMaster] - [exception]
If it is a blocking operation, it waits for the result for spark.rpc.askTimeout, spark.network.timeout or 120 secs.
Stopping BlockManagerMaster (stop method)
stop(): Unit
stop sends a StopBlockManagerMaster message to BlockManagerMaster RPC endpoint and waits for a response.
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Note
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It is only executed for the driver. |
If all goes fine, you should see the following INFO message in the logs:
INFO BlockManagerMaster: BlockManagerMaster stopped
Otherwise, a SparkException is thrown.
BlockManagerMasterEndpoint returned false, expected true.
Registering BlockManager to Driver (registerBlockManager method)
registerBlockManager(
blockManagerId: BlockManagerId,
maxMemSize: Long,
slaveEndpoint: RpcEndpointRef): Unit
When registerBlockManager runs, you should see the following INFO message in the logs:
INFO BlockManagerMaster: Trying to register BlockManager
It then informs the driver about the new BlockManager by sending RegisterBlockManager to BlockManagerMaster RPC endpoint and waiting for a response.
If all goes fine, you should see the following INFO message in the logs:
INFO BlockManagerMaster: Registered BlockManager
Otherwise, a SparkException is thrown.
BlockManagerMasterEndpoint returned false, expected true.
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Note
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registerBlockManager is called while BlockManager is being initialized (on the driver and executors) and while re-registering blocks to the driver.
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Sending UpdateBlockInfo to Driver (updateBlockInfo method)
updateBlockInfo(
blockManagerId: BlockManagerId,
blockId: BlockId,
storageLevel: StorageLevel,
memSize: Long,
diskSize: Long): Boolean
updateBlockInfo sends a UpdateBlockInfo message to BlockManagerMaster RPC endpoint and waits for a response.
You should see the following DEBUG message in the logs:
DEBUG BlockManagerMaster: Updated info of block [blockId]
The response from the BlockManagerMaster RPC endpoint is returned.
Get Block Locations of One Block (getLocations method)
getLocations(blockId: BlockId): Seq[BlockManagerId]
getLocations posts GetLocations(blockId) message to BlockManagerMaster RPC endpoint and waits for a response which becomes the return value.
Get Block Locations for Multiple Blocks (getLocations method)
getLocations(blockIds: Array[BlockId]): IndexedSeq[Seq[BlockManagerId]]
getLocations posts GetLocationsMultipleBlockIds(blockIds) message to BlockManagerMaster RPC endpoint and waits for a response which becomes the return value.
getPeers
getPeers(blockManagerId: BlockManagerId): Seq[BlockManagerId]
getPeers posts GetPeers(blockManagerId) message BlockManagerMaster RPC endpoint and waits for a response which becomes the return value.
getExecutorEndpointRef
getExecutorEndpointRef(executorId: String): Option[RpcEndpointRef]
getExecutorEndpointRef posts GetExecutorEndpointRef(executorId) message to BlockManagerMaster RPC endpoint and waits for a response which becomes the return value.
getMemoryStatus
getMemoryStatus: Map[BlockManagerId, (Long, Long)]
getMemoryStatus posts a GetMemoryStatus message BlockManagerMaster RPC endpoint and waits for a response which becomes the return value.
getStorageStatus
getStorageStatus: Array[StorageStatus]
getStorageStatus posts a GetStorageStatus message to BlockManagerMaster RPC endpoint and waits for a response which becomes the return value.
getBlockStatus
getBlockStatus(
blockId: BlockId,
askSlaves: Boolean = true): Map[BlockManagerId, BlockStatus]
getBlockStatus posts a GetBlockStatus(blockId, askSlaves) message to BlockManagerMaster RPC endpoint and waits for a response (of type Map[BlockManagerId, Future[Option[BlockStatus]]]).
It then builds a sequence of future results that are BlockStatus statuses and waits for a result for spark.rpc.askTimeout, spark.network.timeout or 120 secs.
No result leads to a SparkException with the following message:
BlockManager returned null for BlockStatus query: [blockId]
getMatchingBlockIds
getMatchingBlockIds(
filter: BlockId => Boolean,
askSlaves: Boolean): Seq[BlockId]
getMatchingBlockIds posts a GetMatchingBlockIds(filter, askSlaves) message to BlockManagerMaster RPC endpoint and waits for a response which becomes the result for spark.rpc.askTimeout, spark.network.timeout or 120 secs.
hasCachedBlocks
hasCachedBlocks(executorId: String): Boolean
hasCachedBlocks posts a HasCachedBlocks(executorId) message to BlockManagerMaster RPC endpoint and waits for a response which becomes the result.
BlockManagerMasterEndpoint — BlockManagerMaster RPC Endpoint
BlockManagerMasterEndpoint is the RPC endpoint for BlockManagerMaster on the driver (aka master node) to track statuses of the block managers on executors.
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Note
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It is used to register the BlockManagerMaster RPC endpoint when creating SparkEnv.
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Refer to Logging. |
Internal Registries
blockLocations
blockLocations is a collection of BlockId and its locations (as BlockManagerId).
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Note
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It is used in removeRdd to remove blocks for a RDD, removeBlockManager to remove blocks after a BlockManager gets removed, removeBlockFromWorkers, updateBlockInfo, and getLocations.
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RemoveExecutor
RemoveExecutor(execId: String)
When RemoveExecutor is received, executor execId is removed and the response true sent back.
BlockManagerHeartbeat
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Caution
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FIXME |
GetLocations
GetLocations(blockId: BlockId)
When GetLocations comes in, the internal getLocations method is executed and the result becomes the response sent back.
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Note
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GetLocations is used to get the block locations of a single block.
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RegisterBlockManager
RegisterBlockManager(
blockManagerId: BlockManagerId,
maxMemSize: Long,
sender: RpcEndpointRef)
When RegisterBlockManager is received, the internal register method is executed.
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RegisterBlockManager is used to register a BlockManager to the driver.
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register
register(id: BlockManagerId, maxMemSize: Long, slaveEndpoint: RpcEndpointRef): Unit
register records the current time and registers BlockManager by id if it has not been already registered (using the internal blockManagerInfo registry).
Registering a BlockManager can only happen once for an executor (identified by BlockManagerId.executorId using the internal blockManagerIdByExecutor registry).
If another BlockManager has earlier been registered for the executor, you should see the following ERROR message in the logs:
ERROR Got two different block manager registrations on same executor - will replace old one [oldId] with new one [id]
And then executor is removed.
You should see the following INFO message in the logs:
INFO Registering block manager [hostPort] with [bytes] RAM, [id]
The BlockManager is recorded in the internal registries: blockManagerIdByExecutor and blockManagerInfo.
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Caution
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FIXME Why does blockManagerInfo require a new System.currentTimeMillis() since time was already recorded?
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In either case, SparkListenerBlockManagerAdded(time, id, maxMemSize) is posted to listenerBus.
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Note
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The method can only be executed on the driver where listenerBus is available.
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Caution
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FIXME Describe listenerBus + omnigraffle it.
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Other RPC Messages
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UpdateBlockInfo
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GetLocationsMultipleBlockIds
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GetPeers
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GetRpcHostPortForExecutor
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GetMemoryStatus
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GetStorageStatus
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GetBlockStatus
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GetMatchingBlockIds
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RemoveRdd
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RemoveShuffle
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RemoveBroadcast
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RemoveBlock
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StopBlockManagerMaster
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BlockManagerHeartbeat
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HasCachedBlocks
Removing Executor (removeExecutor method)
removeExecutor(execId: String)
When executed, removeExecutor prints the following INFO message to the logs:
INFO BlockManagerMasterEndpoint: Trying to remove executor [execId] from BlockManagerMaster.
If the execId executor is found in the internal blockManagerIdByExecutor registry, the BlockManager for the executor is removed.
Removing BlockManager (removeBlockManager method)
removeBlockManager(blockManagerId: BlockManagerId)
When executed, removeBlockManager looks up blockManagerId and removes the executor it was working on from the internal blockManagerIdByExecutor as well as from blockManagerInfo.
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It is a private helper method that is exclusively used while removing an executor. |
It then goes over all the blocks for the BlockManager, and removes the executor for each block from blockLocations registry.
SparkListenerBlockManagerRemoved(System.currentTimeMillis(), blockManagerId) is posted to listenerBus.
You should then see the following INFO message in the logs:
INFO BlockManagerMasterEndpoint: Removing block manager [blockManagerId]