Github user vinodkc commented on the issue:
https://github.com/apache/spark/pull/22307
@HyukjinKwon , I'll close this PR
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/22307
@vinod, see the discussion made in
https://github.com/apache/spark/pull/18142. Shall we close this? cc @cloud-fan
as well.
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/22307
The problem here sounds:
```
org.apache.hadoop.hive.ql.metadata.Table.getViewExpandedText()
```
is used to build the view which is ran again by SparkSQL parser. The Hive
Github user vinodkc commented on the issue:
https://github.com/apache/spark/pull/22307
@HyukjinKwon , even with this
```create function d100.udf100 as
'org.apache.hadoop.hive.ql.udf.generic.GenericUDFUpper'; ``` we can simulate
this issue.
I've updated PR description.
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/22307
The problem here looks some inconsistency between Hive and Spark - since
Spark claims Hive compatibility, looks we should either explain the difference
or fix it.
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/22307
@vinodkc, do you have the JAR for `/usr/udf/masking.jar`? Want to reproduce
and check.
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