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https://issues.apache.org/jira/browse/HADOOP-3673?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12610006#action_12610006
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Sanjay Radia commented on HADOOP-3673:
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Sameer is arguing that there is one additional condition under which the
deadlock can occur and that ensuring that all recovery occurs in specific
orders (e.g. by id of the datanode) avoids this additional deadlock situation.
> Deadlock in Datanode RPC servers
> --------------------------------
>
> Key: HADOOP-3673
> URL: https://issues.apache.org/jira/browse/HADOOP-3673
> Project: Hadoop Core
> Issue Type: Bug
> Components: dfs
> Affects Versions: 0.18.0
> Reporter: dhruba borthakur
> Priority: Blocker
> Fix For: 0.18.0
>
>
> There is a deadlock scenario in the way Lease Recovery is triggered using the
> Datanode RPC server via HADOOP-3283.
> Each Datanode has dfs.datanode.handler.count handler threads (default of 3).
> These handler threads are used to support the generation-stamp-dance protocol
> as described in HADOOP-1700.
> Let me try to explain the scenario with an example. Suppose, a cluster has
> two datanodes. Also, let's assume that dfs.datanode.handler.count is set to
> 1. Suppose that there are two clients, each writing to a separate file with a
> replication factor of 2. Let's assume that both clients encounter an IO error
> and triggers the generation-stamp-dance protocol. The first client may invoke
> recoverBlock on the first datanode while the second client may invoke
> recoverBlock on the second datanode. Now, each of the datanode will try to
> make a getBlockMetaDataInfo() to the other datanode. But since each datanode
> has only 1 server handler threads, both threads will block for eternity.
> Deadlock!
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