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Posted to common-dev@hadoop.apache.org by "Colin Patrick McCabe (JIRA)" <ji...@apache.org> on 2012/05/04 23:18:48 UTC

[jira] [Created] (HADOOP-8361) avoid out-of-memory problems when deserializing strings

Colin Patrick McCabe created HADOOP-8361:
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             Summary: 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


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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