Vinod KC created SPARK-25301:
--------------------------------
Summary: When a view uses an UDF from a non default database,
Spark analyser throws AnalysisException
Key: SPARK-25301
URL: https://issues.apache.org/jira/browse/SPARK-25301
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.4.0
Reporter: Vinod KC
When a hive view uses an UDF from a non default database, Spark analyser throws
AnalysisException
Steps to simulate this issue
-----------------------------
In Hive
--------
1) CREATE DATABASE d100;
2) ADD JAR /usr/udf/masking.jar // masking.jar has a custom udf class
'com.uzx.udf.Masking'
3) create function d100.udf100 as "com.uzx.udf.Masking"; // Note: udf100 is
created in d100
4) create view d100.v100 as select *d100.udf100*(name) from default.emp; //
Note : table default.emp has two columns 'nanme', 'address',
5) select * from d100.v100; // query on view d100.v100 gives correct result
In Spark
-------------
1) spark.sql("select * from d100.v100").show
throws
```
org.apache.spark.sql.AnalysisException: Undefined function: '*d100.udf100*'.
This function is neither a registered temporary function nor a permanent
function registered in the database '*default*'
```
This is because, while parsing the SQL statement of the View 'select
`d100.udf100`(`emp`.`name`) from `default`.`emp`' , spark parser fails to split
database name and udf name and hence Spark function registry tries to load the
UDF 'd100.udf100' from 'default' database.
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