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https://issues.apache.org/jira/browse/HDFS-17301?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17801074#comment-17801074
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ASF GitHub Bot commented on HDFS-17301:
---------------------------------------
huangzhaobo99 commented on code in PR #6377:
URL: https://github.com/apache/hadoop/pull/6377#discussion_r1437937067
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hadoop-common-project/hadoop-common/src/site/markdown/Metrics.md:
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@@ -425,6 +425,12 @@ Each metrics record contains tags such as SessionId and
Hostname as additional i
| `RamDiskBlocksLazyPersistWindows`*num*`s(50/75/90/95/99)thPercentileLatency`
| The 50/75/90/95/99th percentile of latency between memory write and disk
persist in milliseconds (*num* seconds granularity). Percentile measurement is
off by default, by watching no intervals. The intervals are specified by
`dfs.metrics.percentiles.intervals`. |
| `FsyncCount` | Total number of fsync |
| `VolumeFailures` | Total number of volume failures occurred |
+| `DatanodeNetworkErrors` | Count of network errors on the datanode |
Review Comment:
@hfutatzhanghb Thank you for your review~ =^_^=
> Add read and write dataXceiver threads count metrics to datanode.
> -----------------------------------------------------------------
>
> Key: HDFS-17301
> URL: https://issues.apache.org/jira/browse/HDFS-17301
> Project: Hadoop HDFS
> Issue Type: New Feature
> Reporter: huangzhaobo99
> Assignee: huangzhaobo99
> Priority: Major
> Labels: pull-request-available
>
> # The DataNodeActiveXeiversCount metric contains the number of threads of all
> Op types.
> # In most cases, we focus more on the number of read and write dataXceiver
> threads, so add read and write dataXceiver threads count metrics to datanode.
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