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Which two updates occur when a client application opens a stream to begin a file write on a cluster running MapReduce v1 (MRv1)?
- Once the write stream closes on the DataNode, the DataNode immediately initiates a black report to the NameNode.
- The change is written to the NameNode disk.
- The metadata in the RAM on the NameNode is flushed to disk.
- The metadata in RAM on the NameNode is flushed disk.
- The metadata in RAM on the NameNode is updated.
Answer: D, F
Note: Namenode stores modifications to the filesystem as a log appended to a native filesystem file (edits). When a Namenode starts up, it reads HDFS state from an image file (fsimage) and then applies edits from edits log file. It then writes new HDFS state to (fsimage) and starts normal operation with an empty edits file. Since namenode merges fsimage and edits files only during start up, edits file could get very large over time on a large cluster. Another side effect of larger edits file is that next restart of Namenade takes longer. The secondary namenode merges fsimage and edits log periodically and keeps edits log size with in a limit. It is usually run on a different machine than the primary Namenode since its memory requirements are on the same order as the primary namemode. The secondary namenode is started by bin/start-dfs.sh on the nodes specified in conf/masters file.
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Questions & Answers for Hadoop MapReduce developers, How NameNode Handles data node failures?
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Questions & Answers for Hadoop MapReduce developers, How NameNode Handles data node failures?
What action occurs automatically on a cluster when a DataNode is marked as dead?
- The NameNode forces re-replication of all the blocks which were stored on the dead DataNode.
- The next time a client submits job that requires blocks from the dead DataNode, the JobTracker receives no heart beats from the DataNode. The JobTracker tells the NameNode that the DataNode is dead, which triggers block re-replication on the cluster.
- The replication factor of the files which had blocks stored on the dead DataNode is temporarily reduced, until the dead DataNode is recovered and returned to the cluster.
- The NameNode informs the client which write the blocks that are no longer available; the client then re-writes the blocks to a different DataNode.
How NameNode Handles data node failures?
NameNode periodically receives a Heartbeat and a Blockreport from each of the DataNodes in the cluster. Receipt of a Heartbeat implies that the DataNode is functioning properly. A Blockreport contains a list of all blocks on a DataNode. When NameNode notices that it has not recieved a hearbeat message from a data node after a certain amount of time, the data node is marked as dead. Since blocks will be under replicated the system begins replicating the blocks that were stored on the dead datanode. The NameNode Orchestrates the replication of data blocks from one datanode to another. The replication data transfer happens directly between datanodes and the data never passes through the namenode.
Note: If the Name Node stops receiving heartbeats from a Data Node it presumes it to be dead and any data it had to be gone as well. Â Based on the block reports it had been receiving from the dead node, the Name Node knows which copies of blocks died along with the node and can make the decision to re-replicate those blocks to other Data Nodes. Â It will also consult the Rack Awareness data in order to maintain theÂ two copies in one rack, one copy in another rackÂ replica rule when deciding which Data Node should receive a new copy of the blocks.
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