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Robert Kanter commented on MAPREDUCE-6201: ------------------------------------------ With 100% disk usage, the other problems I was referring to would be OS-level problems. If you've ever tried to use Windows or a Mac with only a few megabytes of disk space level, you'll run into all kinds of funky problems. However, I was thinking about this more, and whoever/whatever running the test might have a quota on the disk, which would trigger the same issue, without the OS being affected, so I think you're right that we shouldn't do 100. A more clear message failing the test would be best. Maybe assert that the configured amount of disk space is free at the beginning of the test? I do think that setting this to a higher value like 95 or 99 or something is also reasonable to do given that the job the test runs shouldn't generate much data. > TestNetworkedJob fails on trunk > ------------------------------- > > Key: MAPREDUCE-6201 > URL: https://issues.apache.org/jira/browse/MAPREDUCE-6201 > Project: Hadoop Map/Reduce > Issue Type: Bug > Reporter: Robert Kanter > Assignee: Peter Bacsko > Attachments: MAPREDUCE-6201-001.patch, MAPREDUCE-6201-002.patch, > MAPREDUCE-6201-003.patch > > > Currently, {{TestNetworkedJob}} is failing on trunk: > {noformat} > Running org.apache.hadoop.mapred.TestNetworkedJob > Tests run: 5, Failures: 1, Errors: 0, Skipped: 0, Time elapsed: 215.01 sec > <<< FAILURE! - in org.apache.hadoop.mapred.TestNetworkedJob > testNetworkedJob(org.apache.hadoop.mapred.TestNetworkedJob) Time elapsed: > 67.363 sec <<< FAILURE! > java.lang.AssertionError: expected:<0> but was:<2> > at org.junit.Assert.fail(Assert.java:88) > at org.junit.Assert.failNotEquals(Assert.java:743) > at org.junit.Assert.assertEquals(Assert.java:118) > at org.junit.Assert.assertEquals(Assert.java:555) > at org.junit.Assert.assertEquals(Assert.java:542) > at > org.apache.hadoop.mapred.TestNetworkedJob.testNetworkedJob(TestNetworkedJob.java:195) > {noformat} -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: mapreduce-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: mapreduce-issues-h...@hadoop.apache.org