Github user gatorsmile commented on the issue:
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This is a pretty general issue for JDBC users. Could we backport it to
Spark 2.0?
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Github user srowen commented on the issue:
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@GraceH yeah you'll need a new PR. You can open it vs the same JIRA since
these are fairly tightly related.
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Github user GraceH commented on the issue:
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Hi @srowen @rxin , sorry for late response. I have added the document part.
https://github.com/GraceH/spark/commit/8360c2911b70aa628f8edba593e3764d3b07ca55
Shall I raise a new PR?
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Github user GraceH commented on the issue:
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sure. Both are ok to me. will document those options.
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Github user srowen commented on the issue:
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Oh... good point. I see the existing `truncate` option isn't documented
either. Yes that should be done in `sql-programming-guide.md`. We can follow up
on this one or make a new small issue for it.
Github user rxin commented on the issue:
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Are the options here documented anywhere?
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Github user srowen commented on the issue:
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Merged to master
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Github user GraceH commented on the issue:
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Thanks all. I have added the unit test in JDBCWriterSuite. Any further
comment, please feel free to let me know.
BTW, or we can point the user to check JDBCOptions for further
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Github user HyukjinKwon commented on the issue:
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+1 for both OK and not exposing `JDBCOptions`. I know it is slightly
different but `CSVoptions` and `JSONOptions` would be good references to follow.
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Github user srowen commented on the issue:
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This is looking good. I'm not as familiar with the Python API but it
doesn't seem like this needs a change in an API anywhere, Scala or Python. So I
think this is OK.
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Github user GraceH commented on the issue:
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@HyukjinKwon and @srowen, here is the initial proposal. Please let me know
your comment. I will refine that with unit test later.
BTW, the readwriter.py calls high level api of jdbc(url,
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