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Steve Loughran commented on HADOOP-2483: ---------------------------------------- I'm assuming that the problems here are to see how the system handles network, host and disk failures. A good first step would be: what problems happen most often? And which problems are traumatic enough to send everyones pagers off, as they are the ones to care about. * disk failures could be mocked with some filesystem which simulates problems: bad data, missing data, even hanging reads and writes. * network failures are harder to simulate as there are so many kinds. DNS failures, exceptions on every single part of an IO operation, are all candidates. Perhaps we could have a special mock IPC client that raises these exceptions in test runs. * This is the kind of thing that virtualized clusters are good for, but they have odd timing quirks to make you worry about what is going on. > Large-scale reliability tests > ----------------------------- > > Key: HADOOP-2483 > URL: https://issues.apache.org/jira/browse/HADOOP-2483 > Project: Hadoop Core > Issue Type: Test > Components: mapred > Reporter: Arun C Murthy > Assignee: Devaraj Das > Fix For: 0.20.0 > > > The fact that we do not have any large-scale reliability tests bothers me. > I'll be first to admit that it isn't the easiest of tasks, but I'd like to > start a discussion around this... especially given that the code-base is > growing to an extent that interactions due to small changes are very hard to > predict. > One of the simple scripts I run for every patch I work on does something very > simple: run sort500 (or greater), then it randomly picks n tasktrackers from > ${HADOOP_CONF_DIR}/conf/slaves and then kills them, a similar script one > kills and restarts the tasktrackers. > This helps in checking a fair number of reliability stories: lost > tasktrackers, task-failures etc. Clearly this isn't good enough to cover > everything, but a start. > Lets discuss - What do we do for HDFS? We need more for Map-Reduce! -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.