HADOOP-12345: Compute the correct credential length #104
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Oct 15, 2019
Currently when a job is submitted to Yarn, it is going to hang after AppMaster is created. The log shows that it hangs during bootstrapping from Coordinator stream. Further debugging shows that the jobs hang in the second time of bootstrap while reading locality data from LocalityManager. The sequence is the following: 1. JobModelManager creates CoordinatorStreamConsumer, and bootstrap it, 2. LocalityManager writes locality info into coordinator stream 3. JobModelManager closes CoordinatorStreamConsumer 4. Later localityManager bootstraps CoordinatorStreamConsumer again Step 3 is the problem here. Since CoordinatorStreamConsumer is still held by LocalityManager, it cannot be closed prematurely. Step 3 is introduced in SAMZA-1154, as a refactoring of JobModelManager for task rest end point. To fix this issue, we will revert this change of step 3. Author: Shanthoosh Venkataraman <svenkataraman@linkedin.com> Reviewers: Xinyu Liu <xinyu@apache.org> Closes apache#104 from shanthoosh/master
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I had to discard my earlier pull request as that included fix for the jira HADOOP-11823, hence creating a separate one for each of them.
The fix here addresses the correct credential length to be computed. We need to round of the machine name length to the next multiple of 4, else using such a credential in the NFS RPC request will result in GARBAGE_ARGS from the NFS server. See RFC-5531, page 24 and page 8