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ASF subversion and git services commented on GEODE-8671: -------------------------------------------------------- Commit dabb610b74bb0b27603d7803ec3cdd1cbb16c43f in geode's branch refs/heads/develop from Jianxia Chen [ https://gitbox.apache.org/repos/asf?p=geode.git;h=dabb610 ] GEODE-8671: Two threads calling get and retrieve the same PdxInstance, resulting in corruption (#5925) For PdxInstance, return a new reference in LocalRegion.optimizedGetObject(), instead of using the value in the Future. This is to avoid Pdx corruption when multiple threads share the same reference of PdxInstance. > Two threads calling get and retrieve the same PdxInstance, resulting in > corruption > ---------------------------------------------------------------------------------- > > Key: GEODE-8671 > URL: https://issues.apache.org/jira/browse/GEODE-8671 > Project: Geode > Issue Type: Improvement > Components: regions > Reporter: Dan Smith > Assignee: Jianxia Chen > Priority: Major > Labels: blocks-1.14.0, pull-request-available > > Even if copy-on-read is set to true, two threads calling get on a partitioned > region can end up with the same PdxInstance object. > This is problematic because some PdxInstances methods are not thread safe. > Although the underlying bytes are immutatable, the PDXInstance has a > ByteSource with a position field that changes. That means two threads doing > serialization or calling toString on the PdxInstance could result in one or > more threads getting a corrupt read. > It looks like they are ending up with the same instance because of the > behavior in LocalRegion.optimizedGetObject. We use futures to make sure there > is only 1 get that goes through, and both threads receive the same value. > > Ending up in optimizedGetObject requires a race with the put, because if the > value was in the cache at the beginning of the get it would be returned > earlier in the get process. > I put a test that reproduces this issue here - > https://github.com/upthewaterspout/geode/pull/new/feature/pdx-instances-shared -- This message was sent by Atlassian Jira (v8.3.4#803005)