Github user mallman commented on the issue:
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> https://issues.apache.org/jira/browse/SPARK-25879
>
> If we select a nested field and a top level field, the schema pruning
will fail. Here is the reproducible test,
> ...
Hi
Github user dbtsai commented on the issue:
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cc @viirya
If we select a nested field and a top level field, the schema pruning will
fail. Here is the reproducible test,
```scala
testSchemaPruning("select a single complex field
Github user Gauravshah commented on the issue:
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backported to 2.3.2 just in case somebody needs it.
https://github.com/Gauravshah/spark/tree/branch-2.3_SPARK-4502 Thanks @mallman
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Github user mallman commented on the issue:
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Hi @Gauravshah. That branch has diverged substantially from whatâs in
master. Right now Iâm preparing a PR to address a problem with the current
implementation in master, but Iâm on holiday f
Github user Gauravshah commented on the issue:
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@mallman any way I can help pull in rest of the changes from your original
PR (https://github.com/apache/spark/pull/16578) for next release ?
---
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Github user dbtsai commented on the issue:
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A [PR](https://github.com/apache/spark/pull/22357) fixing the issue I
mentioned above is provided by [Liang-Chi Hsieh](https://github.com/viirya).
Thank you for the quick and clean solution.
---
Github user dbtsai commented on the issue:
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Thanks @mallman for schema pruning work which will be a big win in our
pattern of accessing our data.
I'm testing this new feature, and find `where clause` on the selected
nested column can
Github user ajacques commented on the issue:
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@mallman Glad to see this got merged in. Thanks for all of your work
pushing through. I'm looking forward to the next phase. Please let me know if I
can help again. I did notice that window functio
Github user mallman commented on the issue:
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Thanks everyone for your contributions, support and patience. It's been a
journey and a half, and I'm excited for the future. I will open a follow-on PR
to address the current known failure scenario
Github user dongjoon-hyun commented on the issue:
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Sure, @gatorsmile !
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Github user IgorBerman commented on the issue:
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@mallman, wanted to say huge thanks for your work! this is great step
forward.
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Github user gatorsmile commented on the issue:
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Thanks! Merged to master.
BTW, we can keep thinking whether there are other better solutions for
nested column pruning.
Also cc @dongjoon-hyun If you are interested in the work
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Github user HyukjinKwon commented on the issue:
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Seems fine to me too for the similar reasons.
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LGTM, as I explained above.
https://github.com/apache/spark/pull/21320#issuecomment-415526369
Thanks for your patience and great work! @mallman Sorry, it takes two years
to merge the cod
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> @mallman Could you remove the changes made in ParquetRowConverter.scala
and also turn off spark.sql.nestedSchemaPruning.enabled by default in this PR?
Done.
---
Github user gatorsmile commented on the issue:
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The feature has already been developed for almost two years. I am feeling
sorry to merge it in Spark 2.4 release. Personally, I think we should not block
merging this PR to Spark 2.4 release, eve
Github user gatorsmile commented on the issue:
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let me take a look this today. Thanks!
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@gatorsmile Any concerns about merging this PR at this point?
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@gatorsmile How does this look?
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> Add some test cases when turning on spark.sql.caseSensitive?
Will do.
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Add some test cases when turning on `spark.sql.caseSensitive`?
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retest this please
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@mallman Thanks!
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> Try this when spark.sql.nestedSchemaPruning.enabled is on?
I don't think this will be difficult to fix. I'm working on it now and will
add relevant test coverage.
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Github user mallman commented on the issue:
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> Try this when spark.sql.nestedSchemaPruning.enabled is on?
This is a case-sensitivity issue (obviously). I'll get to the root of it.
Thanks.
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Github user gatorsmile commented on the issue:
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Try this when `spark.sql.nestedSchemaPruning.enabled` is on?
```SQL
withTable("t1") {
spark.sql(
"""
|Create table t1 (`id` INT,`CoL1` STRING,
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Github user HyukjinKwon commented on the issue:
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I said either way works fine. It doesn't matter which way we go. Better
close one of them if the approach is the same and both PRs are active.
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Github user mallman commented on the issue:
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> I see no point of leaving this PR open.
I don't agree with you on that point, and I've expressed my view in
https://github.com/apache/spark/pull/21889#issuecomment-413655304.
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Github user HyukjinKwon commented on the issue:
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@mallman, can you close this and put some efforts there in
https://github.com/apache/spark/pull/21889? I see no point of leaving this PR
open.
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Github user mallman commented on the issue:
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>> Hello, we've been using your patch at Stripe and we've found something
that looks like a new bug:
>
> Thank you for sharing this, @xinxin-stripe. This is very helpful. I will
investigate
Github user mallman commented on the issue:
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> Hello, we've been using your patch at Stripe and we've found something
that looks like a new bug:
Thank you for sharing this, @xinxin-stripe. This is very helpful. I will
investigate and
Github user xinxin-stripe commented on the issue:
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Hello, we've been using your patch at Stripe and we've found something that
looks like a new correctness issue:
```
import spark.implicits._
case class Inner(a: String)
cas
Github user mallman commented on the issue:
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> @mallman if you're planning on making more code changes, would you be
willing to work on a shared branch or something? I've been working to
incorporate the CR comments.
No, however if you
Github user ajacques commented on the issue:
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@mallman if you're planning on making more code changes, would you be
willing to work on a shared branch or something? I've been working to
incorporate the CR comments.
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Github user mallman commented on the issue:
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>> the window of opportunity to review syntax and style in this PR closed
long ago.
> Why/when is this window closed? Who closed that?
What I wrote above is a coarse approximation of my
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That's more work for @ajacques though on the other hand. Either way works
fine.
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Github user Gauravshah commented on the issue:
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Or @ajacques can open a PR to Mallman's branch and he can merge it. Makes
it less work work for him
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Github user HyukjinKwon commented on the issue:
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Another way is you rebase @ajacques's commit here and he push some changes
into here since you refuse to address some comments here. I still don't
understand why refuse this though. if that's on
Github user HyukjinKwon commented on the issue:
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@mallman, can you close this one and put some changes into @ajacques branch
then? no point of opening duplicated changes. Since @ajacques is at least
willing to address other comments including
Github user HyukjinKwon commented on the issue:
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> the window of opportunity to review syntax and style in this PR closed
long ago.
Why/when is this window closed? Who closed that?
This project claims a set of specific styles
Github user mallman commented on the issue:
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> Then should we keep this one or #21889? shall we deduplicate the efforts?
I requested to open that because this looks going to be inactive per your
comments.
As I stated before, I'll cont
Github user HyukjinKwon commented on the issue:
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Then should we keep this one or https://github.com/apache/spark/pull/21889?
shall we deduplicate the efforts? I requested to open that because this looks
going to be inactive per your comments.
Github user mallman commented on the issue:
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> @mallman, can we close this PR? Are you willing to update here or not?
I pushed an update less than a day ago, and I intend to continue pushing
updates as needed.
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retest this please
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@mallman, can we close this PR? Are you willing to update here or not?
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retest this please
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Github user gatorsmile commented on the issue:
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retest this please
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