Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/19339
@goldmedal, are you online now? how about fixing the PR title to say
something like .. "Supports RDD of strings as input in spark.read.csv in
PySpark"?
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Github user HyukjinKwon commented on the issue:
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In a quick look, both tests failures:
```
File
"/home/jenkins/workspace/SparkPullRequestBuilder/python/pyspark/sql/readwriter.py",
line 303, in parquet
return
Github user goldmedal commented on the issue:
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umm.. I test it fine using Python 3.4 in my local. I'm not sure why did it
test fail sometime... :(
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Github user viirya commented on the issue:
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LGTM
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Github user HyukjinKwon commented on the issue:
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retest this please
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Github user goldmedal commented on the issue:
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This is so weird. I run it fine using Python 3.5.2 but it seems to have
some problem using Python 3.4. Let me try Python 3.4 in my local.
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Github user HyukjinKwon commented on the issue:
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Hm to me .. I'd actually leave it for now. I am less sure if we should fix
it now as we could sweep it out when we remove the deprecated ones later
together and, for the current status, it
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Github user goldmedal commented on the issue:
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ok, so maybe I create another JIRA for this issue?
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Github user HyukjinKwon commented on the issue:
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Yea, let's do it separately.
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Github user viirya commented on the issue:
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As it relies on a deprecated API, I think it is also good to replace
pyspark json to use Dataset. But I think it is better in another PR.
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Github user goldmedal commented on the issue:
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@HyukjinKwon I think your way works fine after fixing a variable name bug
(`_jsqlContext` >> `_jssql_ctx`). Should we need to modify the json part to be
consistent with the csv part?
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ok to test
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Can one of the admins verify this patch?
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Github user goldmedal commented on the issue:
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@HyukjinKwon @viirya Could you review this PR? Thanks! :)
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