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https://issues.apache.org/jira/browse/HADOOP-1985?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#action_12540233 ]
Hairong Kuang commented on HADOOP-1985:
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Currently in dfs a datanode can get its network location either from the command line or by running a pluggable script at the startup time. The property is defined in the default configuration file as below.
<property>
<name>dfs.network.script</name>
<value></value>
<description>
Specifies a script name that print the network location path
of the current machine.
</description>
</property>
> Abstract node to switch mapping into a topology service class used by namenode and jobtracker
> ---------------------------------------------------------------------------------------------
>
> Key: HADOOP-1985
> URL:
https://issues.apache.org/jira/browse/HADOOP-1985> Project: Hadoop
> Issue Type: New Feature
> Reporter: eric baldeschwieler
> Assignee: Devaraj Das
>
> In order to implement switch locality in MapReduce, we need to have switch location in both the namenode and job tracker. Currently the namenode asks the data nodes for this info and they run a local script to answer this question. In our environment and others that I know of there is no reason to push this to each node. It is easier to maintain a centralized script that maps node DNS names to switch strings.
> I propose that we build a new class that caches known DNS name to switch mappings and invokes a loadable class or a configurable system call to resolve unknown DNS to switch mappings. We can then add this to the namenode to support the current block to switch mapping needs and simplify the data nodes. We can also add this same callout to the job tracker and then implement rack locality logic there without needing to chane the filesystem API or the split planning API.
> Not only is this the least intrusive path to building racklocal MR I can ID, it is also future compatible to future infrastructures that may derive topology on the fly, etc, etc...
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