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Hudson commented on HIVE-5306: ------------------------------ FAILURE: Integrated in Hive-trunk-hadoop2 #449 (See [https://builds.apache.org/job/Hive-trunk-hadoop2/449/]) HIVE-5306 : Use new GenericUDF instead of basic UDF for UDFAbs class (Mohammad Kamrul Islam via Ashutosh Chauhan) (hashutosh: http://svn.apache.org/viewcvs.cgi/?root=Apache-SVN&view=rev&rev=1525294) * /hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/exec/FunctionRegistry.java * /hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/udf/UDFAbs.java * /hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDFAbs.java * /hive/trunk/ql/src/test/org/apache/hadoop/hive/ql/udf/TestGenericUDFAbs.java > Use new GenericUDF instead of basic UDF for UDFAbs class > -------------------------------------------------------- > > Key: HIVE-5306 > URL: https://issues.apache.org/jira/browse/HIVE-5306 > Project: Hive > Issue Type: Improvement > Components: UDF > Reporter: Mohammad Kamrul Islam > Assignee: Mohammad Kamrul Islam > Fix For: 0.13.0 > > Attachments: HIVE-5306.1.patch, HIVE-5306.2.patch, HIVE-5306.3.patch, > HIVE-5306.4.patch, HIVE-5306.5.patch, HIVE-5306.6.patch > > > GenericUDF class is the latest and recommended base class for any UDFs. > This JIRA is to change the current UDFAbs class extended from GenericUDF. > The general benefit of GenericUDF is described in comments as > "* The GenericUDF are superior to normal UDFs in the following ways: 1. It can > * accept arguments of complex types, and return complex types. 2. It can > accept > * variable length of arguments. 3. It can accept an infinite number of > function > * signature - for example, it's easy to write a GenericUDF that accepts > * array<int>, array<array<int>> and so on (arbitrary levels of nesting). 4. > It > * can do short-circuit evaluations using DeferedObject." -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators For more information on JIRA, see: http://www.atlassian.com/software/jira