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[BUG] Test failures for 0.2 when run with multiple executors #812
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I reran myself and ended up with 19 failures. I'll start trying to debug them.
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All of the first/last test failures were fixes when I configured it to use a single executor. It looks like those are issues with the tests when they try to run too wide. I'll see about the others if they are similar. |
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Yup that was it. The jar on the nodes was from a few days ago and it didn't have the bucketing fix in it. Once I replaced the plugin jar with the one that has the fix the test passes. I will rerun all of the tests again with a single executor just to be sure. After that I'll turn this into an issue around the tests because they should either be updated so that they can pass with multiple executors or they should have a way to detect that they are being run incorrectly and skip themselves. |
Moved this to 0.3 as these are test issues, not correctness issues with the plugin. |
I have found that one of the issues we are running into is that spark's sort order is a stable sort, but ours is not. I need to add in java bindings for this and update the plugin. |
Actually I will file a follow on issue for that, I think the issue is more related to unessisary sorts in some of the aggregates. I'll see if I can fix it that way first. |
* Fixing subnormal values Signed-off-by: Mike Wilson <knobby@burntsheep.com>
There are 15 test failures on Dataproc-preview2 on Ubuntu 18 when running our integration tests. The following tests fail:
cache_test.py (1 failure)
join_test.py (1 failure)
window_function_test.py (1 failure)
qa_nightly_select_test.py (12 failures)
I ran the integration tests twice, and got the same first three tests failing, but a different set of qa_nightly_select_tests failing. I am attaching my cluster creation script, a log of the tests, and the spark-default.conf.
dataproc-integration-tests.tar.gz
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