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Bump Spark #413

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clee704 opened this issue Apr 9, 2021 · 8 comments
Open

Bump Spark #413

clee704 opened this issue Apr 9, 2021 · 8 comments
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infrastructure build related, etc.

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@clee704
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clee704 commented Apr 9, 2021

Is there a reason that we can't bump the patch version?

I quickly checked and there was only one breaking test. Seems not serious.

@imback82
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I quickly checked and there was only one breaking test.

Interesting, which test was failing?

@clee704
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clee704 commented Apr 27, 2021

I quickly checked and there was only one breaking test.

Interesting, which test was failing?

I tried it again and this time there was no failing test.

@clee704 clee704 changed the title Bump Spark to 2.4.7 Bump Spark Apr 28, 2021
@clee704
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clee704 commented Apr 28, 2021

Current versions:

  • Spark 2.4.2
  • Spark 3.0.1

Latest versions:

  • Spark 2.4.7
  • Spark 3.0.2

@clee704
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clee704 commented Apr 28, 2021

Can we use the latest versions? Is Azure Synapse Analytics blocking this?

@imback82
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imback82 commented Apr 28, 2021

Any reason we want to use the latest patch version? Do we need to keep track/update this every time a new patch version is released?

Do you want to check if the latest patch releases introduce any breaking changes?

@clee704
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clee704 commented Apr 29, 2021

Interesting question. I've never questioned that before. Maybe you are asking because we're not a direct user of Spark, and those bug/security fixes really don't matter for us?

In the long run, the latest patch version will most likely be the most used version among versions of the same major/minor version. So we should aim for maximum compatibility for the latest patch version. I don't think we should actively track and update for every patch version release, though. In practice, it should be okay to do this once in a while.

@clee704 clee704 added the infrastructure build related, etc. label Jun 15, 2021
@clee704 clee704 self-assigned this Jun 15, 2021
@MironAtHome
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3.2 is out, will test it out before tomorrow EOD.

@vishalsurana
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I'm evaluating the use of this package and I wanted to know the current status of this project. Latest Spark version is 3.5 and Scala 2.11 has been deprecated in favor of Scala 2.13 and Scala 3.

Secondly can you point me to some benchmarks that highlight the benefit of this package?

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