Github user felixcheung commented on the issue:
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merged to master.
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/15608
Yup, it seems not even `varargsToStrEnv`.
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Github user felixcheung commented on the issue:
https://github.com/apache/spark/pull/15608
LGTM. I ran through a few other cases and I think the omitted names are
handled properly with this.
This should go to master then (handledCallJMethod is not in branch-2.0)
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Github user SparkQA commented on the issue:
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Github user HyukjinKwon commented on the issue:
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@felixcheung I just made it as a single for loop (slightly different with
the suggested one though..). Could you please check it again?
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Github user HyukjinKwon commented on the issue:
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I guess you meant when the options, for example,
`DataFrameReader.extraOptions` turns into `Properties` when we call JDBC APIs.
In this case, `Properties` always has a higher precedence and will
Github user felixcheung commented on the issue:
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re: JIRA - I don't mind one way or the other - both proposals sound good to
me.
> currently we don't make this failed when unused arbitrary options are
given (e.g. option("abc", "1")),
Github user HyukjinKwon commented on the issue:
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I am fine with leaving the JIRA open. I can definitely try to open
followups. Otherwise, I also can convert the JIRA as a sub-task after
introducing a parent JIRA.
I will follow your le
Github user felixcheung commented on the issue:
https://github.com/apache/spark/pull/15608
Thanks @HyukjinKwon This is definitely good checks to have. Calls to read.*
and write.* are not easily checked for parameters (file paths are hard) so to
me it is better to leave the checking to
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Github user HyukjinKwon commented on the issue:
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cc @felixcheung I recall we talked about this before. I first wanted to
handle all the argument type checking but I just decided to do what I am pretty
sure of (I remember we were concern of swe
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