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[GitHub] [spark] MaxGekk opened a new pull request #31552: [SPARK-34424][SQL][TESTS] Fix failures of HiveOrcHadoopFsRelationSuite
MaxGekk opened a new pull request #31552:
URL: https://github.com/apache/spark/pull/31552
### What changes were proposed in this pull request?
In the PR, I propose to modify `RandomDataGenerator.forType()` to generate only dates/timestamps that are valid in both calendars Julian and Proleptic Gregorian. Currently, it can produce a date (for example `1582-10-06`) which is valid in the Proleptic Gregorian calendar. Though it cannot be saved to ORC files since ORC format (ORC libs in fact) assumes Julian calendar. So, Spark shifts `1582-10-06` to the next valid date `1582-10-15` while saving it to ORC files. And as a consequence of that, the test fails because it compares original date and the date loaded back from the ORC files.
### Why are the changes needed?
The changes fix failures of `HiveOrcHadoopFsRelationSuite`. For instance, the test "test all data types" fails with the seed 610710213676:
```
== Results ==
!== Correct Answer - 20 == == Spark Answer - 20 ==
struct<index:int,col:date> struct<index:int,col:date>
...
![9,1582-10-06] [9,1582-10-15]
```
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
By running the modified test suite:
```
$ build/sbt -Phive -Phive-thriftserver "test:testOnly *HiveOrcHadoopFsRelationSuite"
```
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[GitHub] [spark] dongjoon-hyun commented on pull request #31552: [SPARK-34424][SQL][TESTS] Fix failures of HiveOrcHadoopFsRelationSuite
Posted by GitBox <gi...@apache.org>.
dongjoon-hyun commented on pull request #31552:
URL: https://github.com/apache/spark/pull/31552#issuecomment-778469369
Thank you for pinging me, @MaxGekk !
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[GitHub] [spark] HyukjinKwon commented on pull request #31552: [SPARK-34424][SQL][TESTS] Fix failures of HiveOrcHadoopFsRelationSuite
Posted by GitBox <gi...@apache.org>.
HyukjinKwon commented on pull request #31552:
URL: https://github.com/apache/spark/pull/31552#issuecomment-779547884
Merged to master.
@MaxGekk can we port this back to branch-3.1 and branch-3.0?
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[GitHub] [spark] HyukjinKwon closed pull request #31552: [SPARK-34424][SQL][TESTS] Fix failures of HiveOrcHadoopFsRelationSuite
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[GitHub] [spark] MaxGekk commented on pull request #31552: [SPARK-34424][SQL][TESTS] Fix failures of HiveOrcHadoopFsRelationSuite
Posted by GitBox <gi...@apache.org>.
MaxGekk commented on pull request #31552:
URL: https://github.com/apache/spark/pull/31552#issuecomment-781920951
Here is the backport to `branch-3.1` and `branch-3.0`: https://github.com/apache/spark/pull/31589
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[GitHub] [spark] bart-samwel commented on pull request #31552: [SPARK-34424][SQL][TESTS] Fix failures of HiveOrcHadoopFsRelationSuite
Posted by GitBox <gi...@apache.org>.
bart-samwel commented on pull request #31552:
URL: https://github.com/apache/spark/pull/31552#issuecomment-779141105
> For me, the case of ORC's date (and timestamps too) seems similar to Parquet's INT96 timestamps. The ORC spec says nothing about the calendar systems (https://orc.apache.org/specification/ORCv2/), and it just mentions the offset in days from the epoch:
> _" Date data is encoded with a PRESENT stream, a DATA stream that records **the number of days after January 1, 1970 in UTC** "_
> Since DATE just stores as number of days, the calendar system is not "hard coded" in the spec. I think we should support the **"CORRECTED"** mode (via a SQL config or/and a DS option) in the ORC datasource too as we did that recently for Parquet INT96 in #30056. @cloud-fan @bart-samwel WDYT?
That makes sense. At least then we can store the data that gets generated internally and read it back. It would take some work for backward compatibility just like for Parquet -- e.g. we'd have to add metadata to the ORC files, and if that's not present, we'd need to detect which system wrote the file and base the read rebasing decision on that.
FWIW, I think the data generator limitations should be explicitly tweaked for the tests to match the expectations of the test. I.e., if we expect the test won't handle some kind of date correctly, *then and only then* do we turn those off.
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[GitHub] [spark] MaxGekk commented on pull request #31552: [SPARK-34424][SQL][TESTS] Fix failures of HiveOrcHadoopFsRelationSuite
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MaxGekk commented on pull request #31552:
URL: https://github.com/apache/spark/pull/31552#issuecomment-778441284
@dongjoon-hyun Could you take a look at this PR, please.
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[GitHub] [spark] MaxGekk commented on pull request #31552: [SPARK-34424][SQL][TESTS] Fix failures of HiveOrcHadoopFsRelationSuite
Posted by GitBox <gi...@apache.org>.
MaxGekk commented on pull request #31552:
URL: https://github.com/apache/spark/pull/31552#issuecomment-778562133
@dongjoon-hyun Thank you for your quick response.
> Actually, this seems to reduce an existing test coverage for all data sources ...
Yep, it does. I should highlight that the "test all data types" test checks end-to-end scenario, and if there are any conversions between calendars Julian <-> Gregorian, the test fails on some seeds. That's why we forcibly set the rebasing mode to `CORRECTED` for Avro and Parquet in the test, see https://github.com/apache/spark/blob/ba13b94f6b2b477a93c0849c1fc776ffd5f1a0e6/sql/hive/src/test/scala/org/apache/spark/sql/sources/HadoopFsRelationTest.scala#L157-L159
to avoid the dates that don't exist in one of the calendars.
At the same time, ORC is tested in the "LEGACY" mode in fact, where we perform datetime rebasing between calendars. So, if we would enable "LEGACY" for Avro or Parquet, they will fail as well.
> Do you think we can narrow down to ORC only?
We can exclude some date ranges like 1582-10-05 .. 1582-10-15 + 29 Feb in some leap years. In that case, we can test Avro/Parquet in the "LEGACY" mode too (and remove the SQL config settings showed above).
For me, the case of ORC's date (and timestamps too) seems similar to Parquet's INT96 timestamps. The ORC spec says nothing about the calendar systems (https://orc.apache.org/specification/ORCv2/), and it just mentions the offset in days from the epoch:
_"
Date data is encoded with a PRESENT stream, a DATA stream that records **the number of days after January 1, 1970 in UTC**
"_
Since DATE just stores as number of days, the calendar system is not "hard coded" in the spec. I think we should support the **"CORRECTED"** mode (via a SQL config or/and a DS option) in the ORC datasource too as we did that recently for Parquet INT96 in https://github.com/apache/spark/pull/30056. @cloud-fan @bart-samwel WDYT?
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[GitHub] [spark] HyukjinKwon commented on pull request #31552: [SPARK-34424][SQL][TESTS] Fix failures of HiveOrcHadoopFsRelationSuite
Posted by GitBox <gi...@apache.org>.
HyukjinKwon commented on pull request #31552:
URL: https://github.com/apache/spark/pull/31552#issuecomment-779547630
I agree with @dongjoon-hyun and @bart-samwel points. Thanks for addressing it @MaxGekk.
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