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https://issues.apache.org/jira/browse/HDFS-14084?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16739734#comment-16739734
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Pranay Singh edited comment on HDFS-14084 at 1/10/19 9:48 PM:
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The failures reported in the previous PATCH was attributed to use of same port
number (-1) in RpcDetailedMetrics.create() [ Client.java ], so if more than one
client used the same metric, the metric registry threw an exception stating
that it's already in use. This PATCH fixes the issue by introducing a new API
for RpcDetailedMetrics.create() that takes clientid (string) as argument
instead of port#.
was (Author: pranay_singh):
The failures reported in the previous PATCH was attributed to use of same port
number (-1) in RpcDetailedMetrics.create() [ Client.java ], so if more than one
client used the same metric, the metric registry threw an exception stating
that it's already in use. This PATCH fixes the issue by introducing a new API
for RpcDetailedMetrics.create() that takes clientid (string) as argument
instead of portID.
> Need for more stats in DFSClient
> --------------------------------
>
> Key: HDFS-14084
> URL: https://issues.apache.org/jira/browse/HDFS-14084
> Project: Hadoop HDFS
> Issue Type: Improvement
> Affects Versions: 3.0.0
> Reporter: Pranay Singh
> Assignee: Pranay Singh
> Priority: Minor
> Attachments: HDFS-14084.001.patch, HDFS-14084.002.patch,
> HDFS-14084.003.patch, HDFS-14084.004.patch, HDFS-14084.005.patch,
> HDFS-14084.006.patch, HDFS-14084.007.patch, HDFS-14084.008.patch,
> HDFS-14084.009.patch, HDFS-14084.010.patch, HDFS-14084.011.patch,
> HDFS-14084.012.patch
>
>
> The usage of HDFS has changed from being used as a map-reduce filesystem, now
> it's becoming more of like a general purpose filesystem. In most of the cases
> there are issues with the Namenode so we have metrics to know the workload or
> stress on Namenode.
> However, there is a need to have more statistics collected for different
> operations/RPCs in DFSClient to know which RPC operations are taking longer
> time or to know what is the frequency of the operation.These statistics can
> be exposed to the users of DFS Client and they can periodically log or do
> some sort of flow control if the response is slow. This will also help to
> isolate HDFS issue in a mixed environment where on a node say we have Spark,
> HBase and Impala running together. We can check the throughput of different
> operation across client and isolate the problem caused because of noisy
> neighbor or network congestion or shared JVM.
> We have dealt with several problems from the field for which there is no
> conclusive evidence as to what caused the problem. If we had metrics or stats
> in DFSClient we would be better equipped to solve such complex problems.
> List of jiras for reference:
> -------------------------
> HADOOP-15538 HADOOP-15530 ( client side deadlock)
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