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Arpit Agarwal commented on HDFS-5434: ------------------------------------- Thanks for the explanation, Colin and Eric. In addition to what Suresh said above, Have you considered using BlockPlacementPolicy? We could give additional state to BlockPlacementPolicy (whether new block allocation existing). From a quick look, the client and NN will use any extra replicas returned by BlockPlacementPolicy. Excess finalized replicas will get pruned via existing mechanisms. I volunteer to help if this sounds like a reasonable alternative to explore. To summarize my thoughts - I am okay with the client side setting if a more elegant/general solution is not easily doable. > Write resiliency for replica count 1 > ------------------------------------ > > Key: HDFS-5434 > URL: https://issues.apache.org/jira/browse/HDFS-5434 > Project: Hadoop HDFS > Issue Type: Bug > Components: namenode > Affects Versions: 2.2.0 > Reporter: Buddy > Priority: Minor > > If a file has a replica count of one, the HDFS client is exposed to write > failures if the data node fails during a write. With a pipeline of size of > one, no recovery is possible if the sole data node dies. > A simple fix is to force a minimum pipeline size of 2, while leaving the > replication count as 1. The implementation for this is fairly non-invasive. > Although the replica count is one, the block will be written to two data > nodes instead of one. If one of the data nodes fails during the write, normal > pipeline recovery will ensure that the write succeeds to the surviving data > node. > The existing code in the name node will prune the extra replica when it > receives the block received reports for the finalized block from both data > nodes. This results in the intended replica count of one for the block. > This behavior should be controlled by a configuration option such as > {{dfs.namenode.minPipelineSize}}. > This behavior can be implemented in {{FSNameSystem.getAdditionalBlock()}} by > ensuring that the pipeline size passed to > {{BlockPlacementPolicy.chooseTarget()}} in the replication parameter is: > {code} > max(replication, ${dfs.namenode.minPipelineSize}) > {code} -- This message was sent by Atlassian JIRA (v6.1.4#6159)