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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>
356 lines
8.0 KiB
Plaintext
356 lines
8.0 KiB
Plaintext
====
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---- QUERY
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select hive_pi()
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---- RESULTS
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3.141592653589793
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---- TYPES
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DOUBLE
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====
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---- QUERY
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select hive_bin(100)
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---- RESULTS
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'1100100'
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---- TYPES
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STRING
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====
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---- QUERY
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select min(hive_pi()) from functional.alltypesagg
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---- RESULTS
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3.141592653589793
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---- TYPES
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DOUBLE
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====
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---- QUERY
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# Test identity functions
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select identity(true), identity(cast(NULL as boolean));
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---- TYPES
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boolean, boolean
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---- RESULTS
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true,NULL
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====
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---- QUERY
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select identity(cast(10 as tinyint)), identity(cast(NULL as tinyint));
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---- TYPES
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tinyint, tinyint
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---- RESULTS
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10,NULL
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====
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---- QUERY
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select identity(cast(10 as smallint)), identity(cast(NULL as smallint));
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---- TYPES
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smallint, smallint
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---- RESULTS
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10,NULL
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====
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---- QUERY
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select identity(cast(10 as int)), identity(cast(NULL as int));
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---- TYPES
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int, int
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---- RESULTS
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10,NULL
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====
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---- QUERY
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select identity(cast(10 as bigint)), identity(cast(NULL as bigint));
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---- TYPES
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bigint, bigint
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---- RESULTS
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10,NULL
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====
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---- QUERY
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select identity(cast(10.0 as float)), identity(cast(NULL as float));
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---- TYPES
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float, float
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---- RESULTS
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10,NULL
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====
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---- QUERY
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select identity(cast(10.0 as double)), identity(cast(NULL as double));
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---- TYPES
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double, double
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---- RESULTS
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10,NULL
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====
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---- QUERY
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# IMPALA-1456. Each "identity" call below tests a different type (BytesWritable, Text,
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# and String).
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select identity("why hello there"),
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identity("why", " hello there"),
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identity("why", " hello", " there"),
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identity(cast(NULL as string)),
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identity(cast(NULL as string), cast(NULL as string)),
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identity(cast(NULL as string), cast(NULL as string), cast(NULL as string));
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---- TYPES
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string, string, string, string, string, string
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---- RESULTS
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'why hello there','why hello there','why hello there','NULL','NULL','NULL'
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====
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---- QUERY
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# IMPALA-1134. Each "identity" call below tests a different type (BytesWritable, Text,
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# and String). The different types are handled slightly differently.
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select length(identity("0123456789")),
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length(identity("0123456789", "0123456789")),
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length(identity("0123456789", "0123456789", "0123456789"));
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---- TYPES
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int, int, int
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---- RESULTS
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10,20,30
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====
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---- QUERY
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# IMPALA-1392: Hive UDFs that throw exceptions should return NULL
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select throws_exception();
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---- TYPES
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boolean
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---- RESULTS
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NULL
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====
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---- QUERY
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set abort_java_udf_on_exception=true;
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select throws_exception() from functional.alltypestiny;
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---- CATCH
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Test exception
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====
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---- QUERY
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select throws_exception() from functional.alltypestiny;
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---- TYPES
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boolean
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---- RESULTS
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NULL
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NULL
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NULL
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NULL
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NULL
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NULL
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NULL
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NULL
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====
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---- QUERY
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select hive_add(cast(1 as int), cast(2 as int));
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---- TYPES
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int
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---- RESULTS
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3
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====
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---- QUERY
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select hive_add(hive_add(cast(1 as int), cast(2 as int)), cast(2 as int));
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---- TYPES
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int
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---- RESULTS
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5
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====
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---- QUERY
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select hive_add(cast(hive_add(cast(1 as int), cast(2 as int)) - hive_add(cast(2 as int), cast(1 as int)) as int), cast(2 as int));
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---- TYPES
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int
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---- RESULTS
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2
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====
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---- QUERY
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select hive_add(cast(1 as smallint), cast(2 as smallint));
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---- TYPES
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smallint
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---- RESULTS
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3
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====
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---- QUERY
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select hive_add(cast(1.0 as float), cast(2.0 as float));
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---- TYPES
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float
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---- RESULTS
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3.0
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====
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---- QUERY
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select hive_add(cast(1.0 as double), cast(2.0 as double));
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---- TYPES
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double
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---- RESULTS
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3.0
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====
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---- QUERY
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select hive_add(cast(1 as boolean), cast(0 as boolean));
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---- TYPES
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boolean
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---- RESULTS
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false
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====
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---- QUERY
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# Testing whether all of persistent Java udfs are accessible.
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select identity_anytype(true);
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---- TYPES
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boolean
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---- RESULTS
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true
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====
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---- QUERY
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select identity_anytype(cast(10 as tinyint));
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---- TYPES
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tinyint
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---- RESULTS
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10
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====
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---- QUERY
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select identity_anytype(cast(10 as smallint));
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---- TYPES
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smallint
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---- RESULTS
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10
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====
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---- QUERY
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select identity_anytype(cast(10 as int));
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---- TYPES
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int
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---- RESULTS
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10
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====
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---- QUERY
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select identity_anytype(cast(10 as bigint));
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---- TYPES
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bigint
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---- RESULTS
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10
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====
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---- QUERY
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select identity_anytype(cast(10.0 as float));
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---- TYPES
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float
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---- RESULTS
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10
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====
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---- QUERY
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select identity_anytype(cast(10.0 as double));
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---- TYPES
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double
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---- RESULTS
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10
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====
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---- QUERY
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select identity_anytype("a", "b");
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---- TYPES
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string
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---- RESULTS
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'ab'
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====
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---- QUERY
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select identity_anytype("a", "b", "c");
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---- TYPES
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string
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---- RESULTS
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'abc'
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====
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---- QUERY
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# IMPALA-3378: test many Java UDFs being opened and run concurrently
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select * from
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(select max(int_col) from functional.alltypesagg
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where identity(bool_col) union all
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(select max(int_col) from functional.alltypesagg
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where identity(tinyint_col) > 1 union all
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(select max(int_col) from functional.alltypesagg
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where identity(smallint_col) > 1 union all
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(select max(int_col) from functional.alltypesagg
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where identity(int_col) > 1 union all
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(select max(int_col) from functional.alltypesagg
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where identity(bigint_col) > 1 union all
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(select max(int_col) from functional.alltypesagg
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where identity(float_col) > 1.0 union all
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(select max(int_col) from functional.alltypesagg
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where identity(double_col) > 1.0 union all
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(select max(int_col) from functional.alltypesagg
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where identity(string_col) > '1' union all
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(select max(int_col) from functional.alltypesagg
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where not identity(bool_col) union all
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(select max(int_col) from functional.alltypesagg
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where identity(tinyint_col) > 2 union all
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(select max(int_col) from functional.alltypesagg
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where identity(smallint_col) > 2 union all
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(select max(int_col) from functional.alltypesagg
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where identity(int_col) > 2 union all
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(select max(int_col) from functional.alltypesagg
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where identity(bigint_col) > 2 union all
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(select max(int_col) from functional.alltypesagg
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where identity(float_col) > 2.0 union all
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(select max(int_col) from functional.alltypesagg
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where identity(double_col) > 2.0 union all
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(select max(int_col) from functional.alltypesagg
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where identity(string_col) > '2'
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)))))))))))))))) v
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---- TYPES
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INT
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---- RESULTS
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998
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999
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999
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999
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999
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999
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999
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999
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999
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999
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999
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999
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999
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999
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999
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999
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====
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---- QUERY
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drop table if exists replace_string_input
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====
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---- QUERY
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create table replace_string_input as
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values('toast'), ('scone'), ('stuff'), ('sssss'), ('yes'), ('scone'), ('stuff');
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====
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---- QUERY
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# Regression test for IMPALA-4266: memory management bugs with output strings from
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# Java UDFS, exposed by using the UDF as a grouping key in an aggregation.
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# The UDF replaces "s" with "ss" in the strings.
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select distinct replace_string(_c0) as es
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from replace_string_input
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order by 1;
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---- TYPES
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string
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---- RESULTS
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'sscone'
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'ssssssssss'
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'sstuff'
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'toasst'
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'yess'
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====
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---- QUERY
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# Regression test for IMPALA-8016; this UDF loads another class in the same jar.
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select import_nearby_classes("placeholder");
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---- TYPES
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string
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---- RESULTS
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'Hello'
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====
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---- QUERY
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# In the interpreted code path of HiveUdfCall, we use ScalarExprEvaluator::GetValue which
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# evaluates the child expression and returns a nullptr if it is NULL. But in the case of
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# TYPE_DATE it also returns nullptr if the date is invalid, so the interpreted path would
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# handle invalid dates as nulls. Java UDFs involving Date are not allowed yet, this test
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# is a reminder that we'll have to handle this case in codegen when we add support for Date.
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create function identity(Date) returns Date
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location '$FILESYSTEM_PREFIX/test-warehouse/impala-hive-udfs.jar'
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symbol='org.apache.impala.TestUdf';
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---- CATCH
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AnalysisException: Type DATE is not supported for Java UDFs.
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====
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---- QUERY
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# Timestamp values are not supported in Java UDFs yet and the implementation may have been
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# written without Timestamps in mind. This test is a reminder that we'll need to review
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# and test the implementation of HiveUdfCall (especially codegen) with Timestamp values
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# when we add support for them.
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create function identity(Timestamp) returns Timestamp
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location '$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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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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