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https://issues.apache.org/jira/browse/ARROW-1579?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16340424#comment-16340424
]
ASF GitHub Bot commented on ARROW-1579:
---------------------------------------
BryanCutler commented on issue #1319: [WIP] ARROW-1579: [Java] Adding
containerized Spark Integration tests
URL: https://github.com/apache/arrow/pull/1319#issuecomment-360658676
This is pretty much running for me now, but I'm getting a strange test
failure when running pyspark tests
```
======================================================================
FAIL: test_unsupported_datatype (pyspark.sql.tests.ArrowTests)
----------------------------------------------------------------------
AttributeError: 'LooseVersion' object has no attribute 'version'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/apache-arrow/spark/python/pyspark/sql/tests.py", line 3404, in
test_unsupported_datatype
df.toPandas()
AssertionError: "Unsupported data type" does not match "'LooseVersion'
object has no attribute 'version'"
```
Not sure why because the tests pass normally, maybe something with the conda
setup? I'll try some more later..
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> [Java] Add dockerized test setup to validate Spark integration
> --------------------------------------------------------------
>
> Key: ARROW-1579
> URL: https://issues.apache.org/jira/browse/ARROW-1579
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Java - Vectors
> Reporter: Wes McKinney
> Assignee: Bryan Cutler
> Priority: Major
> Labels: pull-request-available
> Fix For: 0.9.0
>
>
> cc [~bryanc] -- the goal of this will be to validate master-to-master to
> catch any regressions in the Spark integration
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