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IMPALA-11162: Support GenericUDFs for Hive
Hive has 2 types of UDFs. This commit contains limited support for the second generation UDFs called GenericUDFs. The main limitations are as follows: Decimal types are not supported. The Impala framework determines the precision and scale of the decimal return type. However, the Hive GenericUDFs allow the capability to choose its own return type based on the parameters. Until this can be resolved, it is safer to forbid decimals from being used. Note that this limitation currently exists in the first generation of Hive Java UDFs. Complex types are not supported. Functions are not extracted from the jar file. The first generation of Hive UDFs allowed this because the method prototypes are explicitly defined and can be determined at function creation time. For GenericUDFs, the return types are determined based on the parameters passed in when running a query. For the same reason as above, GenericUDFs cannot be made permanent. They will need to be recreated everytime the server is restarted. This is a severe limitation and will be resolved in the near future. Change-Id: Ie6fd09120db413fade94410c83ebe8ff104013cd Reviewed-on: http://gerrit.cloudera.org:8080/18295 Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com> Reviewed-by: Csaba Ringhofer <csringhofer@cloudera.com>
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Csaba Ringhofer
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ca5ea4aeab
@@ -346,3 +346,10 @@ symbol='org.apache.impala.TestUdf';
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---- CATCH
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AnalysisException: Type TIMESTAMP is not supported for Java UDFs.
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====
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---- QUERY
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create function var_args_func(int...) returns int
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location '$FILESYSTEM_PREFIX/test-warehouse/impala-hive-udfs.jar'
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symbol='org.apache.impala.TestUdf';
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---- CATCH
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CatalogException: Variable arguments not supported in Hive UDFs.
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====
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