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What happens when a datanode fails in Hadoop framework?

+1 vote
What happens when a datanode fails in Hadoop framework?
posted Dec 4, 2014 by Amit Kumar Pandey

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1 Answer

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OK I got what you are asking. DFS Client will get a list of datanodes from the namenode where it is supposed to write a block (say A) of a file. DFS Client will iterate over that list of Datanodes and write the block A in those locations. If block write fails in the first datanodes, it'll abandon the block write and ask namenode a new set of datanodes where it can attempt to write again.

In below example I will try to give one sample code:

private DatanodeInfo[] nextBlockOutputStream(String client) throws IOException {
    //----- other code ------
    do {
            hasError = false;
            lastException = null;
            errorIndex = 0;
            retry = false;
            nodes = null;
            success = false;

            long startTime = System.currentTimeMillis();
            lb = locateFollowingBlock(startTime);
            block = lb.getBlock();
            accessToken = lb.getBlockToken();
            nodes = lb.getLocations();

            // Connect to first DataNode in the list.
            success = createBlockOutputStream(nodes, clientName, false);

            if (!success) {
    "Abandoning block " + block);
              namenode.abandonBlock(block, src, clientName);

              // Connection failed.  Let's wait a little bit and retry
              retry = true;
              try {
                if (System.currentTimeMillis() - startTime > 5000) {
        "Waiting to find target node: " + nodes[0].getName());
              } catch (InterruptedException iex) {
          } while (retry && --count >= 0);

          if (!success) {
            throw new IOException("Unable to create new block.");
     return nodes;
answer Dec 29, 2014 by Kali Mishra
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