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https://issues.apache.org/jira/browse/HADOOP-8361?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Colin Patrick McCabe updated HADOOP-8361:
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Attachment: HADOOP-8361.007.patch
* remove SHORT_STRING_MAX deadcode
> avoid out-of-memory problems when deserializing strings
> -------------------------------------------------------
>
> Key: HADOOP-8361
> URL: https://issues.apache.org/jira/browse/HADOOP-8361
> Project: Hadoop Common
> Issue Type: Bug
> Reporter: Colin Patrick McCabe
> Assignee: Colin Patrick McCabe
> Priority: Minor
> Attachments: HADOOP-8361.001.patch, HADOOP-8361.002.patch,
> HADOOP-8361.003.patch, HADOOP-8361.004.patch, HADOOP-8361.005.patch,
> HADOOP-8361.006.patch, HADOOP-8361.007.patch
>
>
> In HDFS, we want to be able to read the edit log without crashing on an OOM
> condition. Unfortunately, we currently cannot do this, because there are no
> limits on the length of certain data types we pull from the edit log. We
> often read strings without setting any upper limit on the length we're
> prepared to accept.
> It's not that we don't have limits on strings-- for example, HDFS limits the
> maximum path length to 8000 UCS-2 characters. Linux limits the maximum user
> name length to either 64 or 128 bytes, depending on what version you are
> running. It's just that we're not exposing these limits to the
> deserialization functions that need to be aware of them.
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