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thanks, merging to master!
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According to the second rule, value class in Array needs to be
instantiated. In current code, I think it should go to the special handling
case of value class. Can you also add a test to verify it
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How about value class in Array? Do we support it?
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[SPARK-25778] WriteAheadLogBackedBlockRDD in YARN Cluster Mode Fails â¦
â¦due lack of access to tmpDir from $PWD to HDFS
WriteAheadLogBackedBlockRDD usage of java.io.tmpdir will fail if
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Thanks a lot @cloud-fan @mgaido91
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@cloud-fan @viirya I was silly @_@, I forgot to push the change for that
part and missed that error message from Jenkins as well
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```
[error]
/home/jenkins/workspace/SparkPullRequestBuilder/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/ScalaReflection.scala:401:
value isDefined is not a member of
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try to build sql/core?
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hi @viirya, may I ask whether Jenkins is having issue? It reports
```
[error] (catalyst/compile:compileIncremental) Compilation failed
[error] Total time: 175 s, completed Oct 27, 2018
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title updated
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Oops, mind fixing PR title too?
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@cloud-fan, thanks for doing this backport!
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Merged to branch-2.4.
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thanks, merging to master!
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LGTM. Do we target it to 2.4? The API in 2.4 is deprecated so I'm not sure
if we still need to backport bug fixes.
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Yup, I think strictly we should change. Looks there are two occurrences at
`udf` and `pands_udf` `isinstance(..., str)`.
Another problem at PySpark is, inconsistent type comparison like
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[SPARK-12172][SPARKR] Remove internal-only RDD methods
## What changes were proposed in this pull request?
Remove non-public internal only methods for RDD in SparkR
## How was
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--- Diff: python/pyspark/sql/functions.py ---
@@ -2326,7 +2326,7 @@ def schema_of_json(json):
>>> df.select(schema_of_json('{"a":
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