How about pyArrow? ________________________________ From: Holden Karau <hol...@pigscanfly.ca> Sent: Friday, June 14, 2019 11:06:15 AM To: Felix Cheung Cc: Bryan Cutler; Dongjoon Hyun; Hyukjin Kwon; dev; shane knapp Subject: Re: [DISCUSS] Increasing minimum supported version of Pandas
Are there other Python dependencies we should consider upgrading at the same time? On Fri, Jun 14, 2019 at 7:45 PM Felix Cheung <felixcheun...@hotmail.com<mailto:felixcheun...@hotmail.com>> wrote: So to be clear, min version check is 0.23 Jenkins test is 0.24 I’m ok with this. I hope someone will test 0.23 on releases though before we sign off? We should maybe add this to the release instruction notes? ________________________________ From: shane knapp <skn...@berkeley.edu<mailto:skn...@berkeley.edu>> Sent: Friday, June 14, 2019 10:23:56 AM To: Bryan Cutler Cc: Dongjoon Hyun; Holden Karau; Hyukjin Kwon; dev Subject: Re: [DISCUSS] Increasing minimum supported version of Pandas excellent. i shall not touch anything. :) On Fri, Jun 14, 2019 at 10:22 AM Bryan Cutler <cutl...@gmail.com<mailto:cutl...@gmail.com>> wrote: Shane, I think 0.24.2 is probably more common right now, so if we were to pick one to test against, I still think it should be that one. Our Pandas usage in PySpark is pretty conservative, so it's pretty unlikely that we will add something that would break 0.23.X. On Fri, Jun 14, 2019 at 10:10 AM shane knapp <skn...@berkeley.edu<mailto:skn...@berkeley.edu>> wrote: ah, ok... should we downgrade the testing env on jenkins then? any specific version? shane, who is loathe (and i mean LOATHE) to touch python envs ;) On Fri, Jun 14, 2019 at 10:08 AM Bryan Cutler <cutl...@gmail.com<mailto:cutl...@gmail.com>> wrote: I should have stated this earlier, but when the user does something that requires Pandas, the minimum version is checked against what was imported and will raise an exception if it is a lower version. So I'm concerned that using 0.24.2 might be a little too new for users running older clusters. To give some release dates, 0.23.2 was released about a year ago, 0.24.0 in January and 0.24.2 in March. I think given that we’re switching to requiring Python 3 and also a bit of a way from cutting a release 0.24 could be Ok as a min version requirement On Fri, Jun 14, 2019 at 9:27 AM shane knapp <skn...@berkeley.edu<mailto:skn...@berkeley.edu>> wrote: just to everyone knows, our python 3.6 testing infra is currently on 0.24.2... On Fri, Jun 14, 2019 at 9:16 AM Dongjoon Hyun <dongjoon.h...@gmail.com<mailto:dongjoon.h...@gmail.com>> wrote: +1 Thank you for this effort, Bryan! Bests, Dongjoon. On Fri, Jun 14, 2019 at 4:24 AM Holden Karau <hol...@pigscanfly.ca<mailto:hol...@pigscanfly.ca>> wrote: I’m +1 for upgrading, although since this is probably the last easy chance we’ll have to bump version numbers easily I’d suggest 0.24.2 On Fri, Jun 14, 2019 at 4:38 AM Hyukjin Kwon <gurwls...@gmail.com<mailto:gurwls...@gmail.com>> wrote: I am +1 to go for 0.23.2 - it brings some overhead to test PyArrow and pandas combinations. Spark 3 should be good time to increase. 2019년 6월 14일 (금) 오전 9:46, Bryan Cutler <cutl...@gmail.com<mailto:cutl...@gmail.com>>님이 작성: Hi All, We would like to discuss increasing the minimum supported version of Pandas in Spark, which is currently 0.19.2. Pandas 0.19.2 was released nearly 3 years ago and there are some workarounds in PySpark that could be removed if such an old version is not required. This will help to keep code clean and reduce maintenance effort. The change is targeted for Spark 3.0.0 release, see https://issues.apache.org/jira/browse/SPARK-28041. The current thought is to bump the version to 0.23.2, but we would like to discuss before making a change. Does anyone else have thoughts on this? Regards, Bryan -- Twitter: https://twitter.com/holdenkarau Books (Learning Spark, High Performance Spark, etc.): https://amzn.to/2MaRAG9 <https://amzn.to/2MaRAG9> YouTube Live Streams: https://www.youtube.com/user/holdenkarau -- Shane Knapp UC Berkeley EECS Research / RISELab Staff Technical Lead https://rise.cs.berkeley.edu -- Shane Knapp UC Berkeley EECS Research / RISELab Staff Technical Lead https://rise.cs.berkeley.edu -- Shane Knapp UC Berkeley EECS Research / RISELab Staff Technical Lead https://rise.cs.berkeley.edu -- Twitter: https://twitter.com/holdenkarau Books (Learning Spark, High Performance Spark, etc.): https://amzn.to/2MaRAG9 <https://amzn.to/2MaRAG9> YouTube Live Streams: https://www.youtube.com/user/holdenkarau
