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https://issues.apache.org/jira/browse/HDFS-15443?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17164680#comment-17164680
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Hadoop QA commented on HDFS-15443:
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| {color:blue}0{color} | {color:blue} reexec {color} | {color:blue} 0m
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| {color:red}-1{color} | {color:red} docker {color} | {color:red} 0m
25s{color} | {color:red} Docker failed to build yetus/hadoop:cce5a6f6094.
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|| Subsystem || Report/Notes ||
| JIRA Issue | HDFS-15443 |
| JIRA Patch URL |
https://issues.apache.org/jira/secure/attachment/13008375/HDFS-15443.003.patch |
| Console output |
https://builds.apache.org/job/PreCommit-HDFS-Build/29553/console |
| versions | git=2.17.1 |
| Powered by | Apache Yetus 0.12.0 https://yetus.apache.org |
This message was automatically generated.
> Setting dfs.datanode.max.transfer.threads to a very small value can cause
> strange failure.
> ------------------------------------------------------------------------------------------
>
> Key: HDFS-15443
> URL: https://issues.apache.org/jira/browse/HDFS-15443
> Project: Hadoop HDFS
> Issue Type: Bug
> Components: datanode
> Reporter: AMC-team
> Priority: Major
> Attachments: HDFS-15443.000.patch, HDFS-15443.001.patch,
> HDFS-15443.002.patch, HDFS-15443.003.patch
>
>
> Configuration parameter dfs.datanode.max.transfer.threads is to specify the
> maximum number of threads to use for transferring data in and out of the DN.
> This is a vital param that need to tune carefully.
> {code:java}
> // DataXceiverServer.java
> // Make sure the xceiver count is not exceeded
> intcurXceiverCount = datanode.getXceiverCount();
> if (curXceiverCount > maxXceiverCount) {
> thrownewIOException("Xceiver count " + curXceiverCount
> + " exceeds the limit of concurrent xceivers: "
> + maxXceiverCount);
> }
> {code}
> There are many issues that caused by not setting this param to an appropriate
> value. However, there is no any check code to restrict the parameter.
> Although having a hard-and-fast rule is difficult because we need to consider
> number of cores, main memory etc, *we can prevent users from setting this
> value to an absolute wrong value by accident.* (e.g. a negative value that
> totally break the availability of datanode.)
> *How to fix:*
> Add proper check code for the parameter.
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