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Posted to hdfs-issues@hadoop.apache.org by "AMC-team (Jira)" <ji...@apache.org> on 2020/06/28 23:19:00 UTC
[jira] [Updated] (HDFS-15443) Setting
[ https://issues.apache.org/jira/browse/HDFS-15443?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
AMC-team updated HDFS-15443:
----------------------------
Summary: Setting (was: dfs.datanode.max.transfer.threads should have check code)
> Setting
> --------
>
> 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
>
> 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. There are many bad cases that caused by not setting this param to an appropriate value.
> {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}
> 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 should at least 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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