Julien Baley created SPARK-13046:
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Summary: Partitioning looks broken in 1.6
Key: SPARK-13046
URL: https://issues.apache.org/jira/browse/SPARK-13046
Project: Spark
Issue Type: Bug
Components: Spark Core
Affects Versions: 1.6.0
Reporter: Julien Baley
Hello,
I have a list of files in s3:
s3://bucket/some_path/date_received=2016-01-13/fingerprint=2f6a09d370b4021d/{_SUCCESS,metadata,some
parquet files}
s3://bucket/some_path/date_received=2016-01-14/fingerprint=2f6a09d370b4021d/{_SUCCESS,metadata,some
parquet files}
s3://bucket/some_path/date_received=2016-01-15/fingerprint=2f6a09d370b4021d/{_SUCCESS,metadata,some
parquet files}
Until 1.5.2, it all worked well and passing s3://bucket/some_path/ (the same
for the three lines) would correctly identify 2 pairs of key/value, one
`date_received` and one `fingerprint`.
>From 1.6.0, I get the following exception:
assertion failed: Conflicting directory structures detected. Suspicious paths
s3://bucket/some_path/date_received=2016-01-13
s3://bucket/some_path/date_received=2016-01-14
s3://bucket/some_path/date_received=2016-01-15
That is to say, the partitioning code now fails to identify
date_received=2016-01-13 as a key/value pair.
I can see that there has been some activity on
spark/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PartitioningUtils.scala
recently, so that seems related (especially the commits
https://github.com/apache/spark/commit/7b5d9051cf91c099458d092a6705545899134b3b
and
https://github.com/apache/spark/commit/de289bf279e14e47859b5fbcd70e97b9d0759f14
).
If I read correctly the tests added in those commits:
-they don't seem to actually test the return value, only that it doesn't crash
-they only test cases where the s3 path contain 1 key/value pair.
This is problematic for us as we're trying to migrate all of our spark services
to 1.6.0 and this bug is a real blocker. I know it's possible to force a
'union', but I'd rather not do that if the bug can be fixed.
Any question, please shoot.
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