[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
Github user ueshin commented on the issue: https://github.com/apache/spark/pull/19607 Well, I'd leave the config `spark.sql.execution.pandas.respectSessionTimeZone` as it is for now to be safe as @gatorsmile mentioned before. And as we discussed in dev list, I'll update this to remove workarounds for old Pandas but add some error messages saying we need 0.19.2 or upper. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/19607 Seems there is no explicit objection for dropping it. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/19607 Here - https://github.com/apache/spark/pull/19674#issuecomment-342336767 I checked it lately. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/19607 BTW what's the pandas version we set up in jenkins? I'm afraid we don't even have a test for old pandas versions. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/19607 FWIW, to me, I think it's possibly a breaking change but I believe it's worth given the recent cool changes. +0 for bumping up anyway. Will join in the mailing thread too. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
Github user ueshin commented on the issue: https://github.com/apache/spark/pull/19607 I'll ask dev list if we can drop support old Pandas (<0.19.2), or what version we should support if we can't. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/19607 I doubt if we can still support pandas 0.13.0 now... --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/19607 For Py4J, as a hard required dependency, its src-zip is in Spark partly to support non-pip installation as well properly AFAIK. In this case, the place to update seems https://github.com/apache/spark/commit/c8d0aba198c0f593c2b6b656c23b3d0fb7ea98a2 although it includes few more changes by Py4J jar as well, again, AFAIK. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/19607 AllI know is here: https://github.com/apache/spark/blob/aad2125475dcdeb4a0410392b6706511db17bac4/python/setup.py#L199-L205 and few places in documentation: https://github.com/apache/spark/tree/c8d0aba198c0f593c2b6b656c23b3d0fb7ea98a2/python#python-requirements --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/19607 @HyukjinKwon do you know where pyspark defines its python library requirements? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
Github user BryanCutler commented on the issue: https://github.com/apache/spark/pull/19607 Correct me if I'm wrong, but I think depending on what version of Pandas we support this PR could be simplified a little to only use `is_datetime64tz_dtype` that is in 0.19.2+. So it might be a good idea to decide on a version here. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/19607 > Do we need the config "spark.sql.execution.pandas.respectSessionTimeZone"? I think we don't need this in this case. If this discussion lasts without a conclusion, I think we should better open a discussion in the mailing list to deduplicate such discussion in the future. > What version of Pandas should we support? I think this does not block this PR though. I don't have a strong opinion on this. Just FYI, there are some information that might help: Pandas 0.19.2 seems [released in December 24, 2016](https://pandas.pydata.org/pandas-docs/stable/release.html#pandas-0-19-2) Spark 2.1.0 seems [released in December 28, 2016](https://spark.apache.org/news/index.html). --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
Github user ueshin commented on the issue: https://github.com/apache/spark/pull/19607 The remaining discussions in this pr are: - [ ] Do we need the config `"spark.sql.execution.pandas.respectSessionTimeZone"`? - @cloud-fan raised that we don't need the config. https://github.com/apache/spark/pull/19607#discussion_r149655172 - [ ] What version of Pandas should we support? - Since old pandas needs a lot of workaround or doesn't support timestamp values properly, we need to bump up Pandas to support. - @wesm suggested that we should support only `0.19.2` or upper. https://github.com/apache/spark/pull/19607#issuecomment-342371522 I'd really appreciate if you left comments on these and please let me know if I miss something. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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Github user ueshin commented on the issue: https://github.com/apache/spark/pull/19607 @wesm Thanks for the explanation! --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user wesm commented on the issue: https://github.com/apache/spark/pull/19607 Well, old versions of pandas are not supported at all. There have also been a number of API evolutions around extension dtypes that make supporting pandas 0.18.x and lower challenging. We have dropped support already in pyarrow, it is a serious liability to accept the maintenance burden of supporting such an outdated version of the project. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user ueshin commented on the issue: https://github.com/apache/spark/pull/19607 @wesm I'd like to know if you have any specific reason to recommend the version 0.19.2 or upper? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user wesm commented on the issue: https://github.com/apache/spark/pull/19607 @jreback @cpcloud could use some input on how to maximize cross-pandas version compatibility in this patch. I am not sure I would recommend that Spark support pandas versions lower than 0.19.2 --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/19607 My local is: ``` +---+---+ |idx| timestamp| +---+---+ | 0|1969-01-01 01:01:01| | 1|2012-02-02 02:02:02| | 2| null| | 3|2100-04-04 05:04:04| +---+---+ ``` too. Will try to take a look as well. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/19607 (Will give a shot to reproduce this within tomorrow and leave my output.) --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user ueshin commented on the issue: https://github.com/apache/spark/pull/19607 I have no idea about the reason but seems like there is a difference of handling DST in `spark.createDataFrame(data, schema=schema)` between Jenkins and my local environments. The debug print by `df.show()` from the test [tests.py#L3487](https://github.com/ueshin/apache-spark/blob/9101a3a12f17b5bd633756139eaa2cb3ee9bb33c/python/pyspark/sql/tests.py#L3487) was: ``` +---+---+ |idx| timestamp| +---+---+ | 0|1969-01-01 01:01:01| | 1|2012-02-02 02:02:02| | 2| null| | 3|2100-04-04 04:04:04| +---+---+ ``` but in my local: ``` +---+---+ |idx| timestamp| +---+---+ | 0|1969-01-01 01:01:01| | 1|2012-02-02 02:02:02| | 2| null| | 3|2100-04-04 05:04:04| +---+---+ ``` Could you please let me know if I miss something or you have any ideas? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user ueshin commented on the issue: https://github.com/apache/spark/pull/19607 Hmm, I can't reproduce the current failure in my local, which seems to not be related to old Pandas because the failure is on Python 3.4 and Pandas 0.19 (I guess). I tried the combination in my local. Can anyone help me reproduce and fix it? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user BryanCutler commented on the issue: https://github.com/apache/spark/pull/19607 >Aside: Could someone start preparing a patch that uses Arrow 0.8.x (where a lot of issues that surfaced throughout this process have been fixed)? @wesm I could start on this maybe in the next day or two --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user wesm commented on the issue: https://github.com/apache/spark/pull/19607 Aside: Could someone start preparing a patch that uses Arrow 0.8.x (where a lot of issues that surfaced throughout this process have been fixed)? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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[GitHub] spark issue #19607: [WIP][SPARK-22395][SQL][PYTHON] Fix the behavior of time...
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