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retest this please.
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@WeichenXu123 thanks for checking it out. I've resolved the conflicts,
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Discussed with @cloud-fan offline. The conclusion is that we can use simple
factory pattern for data factory, so that we can avoid redundant code easily
and stop using `PartitionedFile =>
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retest this please
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--- Diff: python/pyspark/sql/udf.py ---
@@ -385,8 +385,23 @@ def registerJavaUDAF(self, name, javaClassName):
def _test():
import
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Github user vanzin commented on the issue:
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Sounds like this approach is just racy by nature. There's a similar test in
SparkContextSuite ("Cancelling stages/jobs with custom reasons") where I fixed
a similar issue using a semaphore. Sounds
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@WeichenXu123 Executing `test("FPGrowth fit and transform with different
data types")` with Byte data type produces an
`org.apache.spark.sql.AnalysisException: cannot resolve 'CAST(`items`
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@HyukjinKwon Thank you for the review. I really appreciate that.
> Trust me, I don't usually try to get in the way hard like this.
No doubt.
> If you really don't know, I
Github user rxin commented on the issue:
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Can we add them to the file based test suites instead?
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typo in summary: "On top of data" --> "On top of that" (I think)
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[SPARK-23916][SQL] Add array_join function
## What changes were proposed in this pull request?
The PR adds the SQL function `array_join`. The behavior of the function is
based on
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retest this please
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The latest commit is just to add new comments in the code. The previous
test already passed.
Merged to master/2.3
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Thanks! Merged to master.
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Just commented on the JIRA about this issue:
https://issues.apache.org/jira/browse/SPARK-21005
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Can one of the admins verify this patch?
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ping @hvanhovell @cloud-fan
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LGTM, once #20983 is committed and we can pull in the tests from that PR.
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LGTM
Merging with master
Thanks @WeichenXu123 !
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Merging to master / 2.3 / 2.2.
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