Github user HyukjinKwon commented on the issue:
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Merged to master.
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Github user HyukjinKwon commented on the issue:
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retest this please
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Github user HyukjinKwon commented on the issue:
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Will merge this one if there isn't any objection. I believe this doesn't
affect the existing code path anyway ..
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Github user HyukjinKwon commented on the issue:
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Yup, will write up some more warnings that says like it's expert only
configuration, experimental and rather an internal configuration. Also, I will
note that we should be super careful. Will
Github user felixcheung commented on the issue:
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+1... this is "undocumented" conf, sooo it's an expert one :)
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Github user holdenk commented on the issue:
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So I think this could be the basis for solving a lot of related problems
and I like the minimally invasive approach to it. I think the error message for
setting it to a bad module rather than a
Github user HyukjinKwon commented on the issue:
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@rxin or @joshrosen could you guys take a quick look and see if it makes
sense?
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Yup, thanks for all review @felixcheung and @ueshin BTW
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Github user ueshin commented on the issue:
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Looks good. Let's wait for @rxin's response.
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I manually tested after setting `spark.python.daemon.module` to
`nonexistantmodule`. It shows the error message like this:
```python
>>> spark.range(1).rdd.map(lambda x:
Github user ueshin commented on the issue:
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The changes LGTM.
Btw, what if we miss the module in python path? Can we see that the error
is caused by the missing module from the exception message?
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Github user HyukjinKwon commented on the issue:
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Hey @rxin, I think I need your sign-off too as it's related with SPARK-7721.
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@holdenk, @rxin, @joshrosen and @ueshin, as you all might already know, I
am working on Python coverage. Based on the top of this PR, I think we can
leave the main codes intact while we
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