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https://issues.apache.org/jira/browse/HDFS-3091?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13245515#comment-13245515
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Zhanwei.Wang commented on HDFS-3091:
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Hi, Nocholas
{quote}
I would say the failures are expected. The feature is to guarantee the number
of replicas that the user is asking. However, the cluster is too small that the
guarantee is impossible. It makes sense to fail the write requests.
{quote}
I agree with you, but have a look at code. in HDFS-3179, I first create a EMPTY
file and append twice, the first append finished successfully but the second
failed since there is only one datanode and the number of replica is 3.
Is that what you want to see? I think the policy check should fail on the first
write to the file.
> Update the usage limitations of ReplaceDatanodeOnFailure policy in the config
> description for the smaller clusters.
> -------------------------------------------------------------------------------------------------------------------
>
> Key: HDFS-3091
> URL: https://issues.apache.org/jira/browse/HDFS-3091
> Project: Hadoop HDFS
> Issue Type: Improvement
> Components: data-node, hdfs client, name-node
> Affects Versions: 0.23.0, 0.24.0
> Reporter: Uma Maheswara Rao G
> Assignee: Tsz Wo (Nicholas), SZE
> Fix For: 2.0.0
>
> Attachments: h3091_20120319.patch
>
>
> When verifying the HDFS-1606 feature, Observed couple of issues.
> Presently the ReplaceDatanodeOnFailure policy satisfies even though we dont
> have enough DN to replcae in cluster and will be resulted into write failure.
> {quote}
> 12/03/13 14:27:12 WARN hdfs.DFSClient: DataStreamer Exception
> java.io.IOException: Failed to add a datanode: nodes.length !=
> original.length + 1, nodes=[xx.xx.xx.xx:50010], original=[xx.xx.xx.xx1:50010]
> at
> org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.findNewDatanode(DFSOutputStream.java:778)
> at
> org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.addDatanode2ExistingPipeline(DFSOutputStream.java:834)
> at
> org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.setupPipelineForAppendOrRecovery(DFSOutputStream.java:930)
> at
> org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.processDatanodeError(DFSOutputStream.java:741)
> at
> org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.run(DFSOutputStream.java:416)
> {quote}
> Lets take some cases:
> 1) Replication factor 3 and cluster size also 3 and unportunately pipeline
> drops to 1.
> ReplaceDatanodeOnFailure will be satisfied because *existings(1)<=
> replication/2 (3/2==1)*.
> But when it finding the new node to replace obiously it can not find the new
> node and the sanity check will fail.
> This will be resulted to Wite failure.
> 2) Replication factor 10 (accidentally user sets the replication factor to
> higher value than cluster size),
> Cluser has only 5 datanodes.
> Here even if one node fails also write will fail with same reason.
> Because pipeline max will be 5 and killed one datanode, then existings will
> be 4
> *existings(4)<= replication/2(10/2==5)* will be satisfied and obiously it
> can not replace with the new node as there is no extra nodes exist in the
> cluster. This will be resulted to write failure.
> 3) sync realted opreations also fails in this situations ( will post the
> clear scenarios)
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