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0d2919fe7f
This patch cleans up analysis and execution of scalar and aggregate functions so that there is no difference between how builtins and user functions are handled. The only difference is that the catalog is populated with the builtins all the time. The BE always gets a TFunction object and just executes it (builtins will have an empty hdfs file location). This removes the opcode registry and all of the functionality is subsumed by the catalog, most of which was already duplicated there anyway. This also introduces the concept of a system database; databases that the user cannot modify and is populated automatically on startup. Change-Id: Iaa3f84dad0a1a57691f5c7d8df7305faf01d70ed Reviewed-on: http://gerrit.ent.cloudera.com:8080/1386 Reviewed-by: Nong Li <nong@cloudera.com> Tested-by: jenkins Reviewed-on: http://gerrit.ent.cloudera.com:8080/1577
83 lines
3.0 KiB
Plaintext
83 lines
3.0 KiB
Plaintext
====
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---- QUERY
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drop function if exists udf_test.hive_pi();
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drop function if exists udf_test.hive_round(double);
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drop function if exists udf_test.hive_floor(double);
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drop function if exists udf_test.hive_mod(int, int);
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drop function if exists udf_test.hive_bin(bigint);
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drop function if exists udf_test.hive_lower(string);
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drop function if exists udf_test.hive_trim(string);
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drop function if exists udf_test.identity(boolean);
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drop function if exists udf_test.identity(tinyint);
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drop function if exists udf_test.identity(smallint);
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drop function if exists udf_test.identity(int);
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drop function if exists udf_test.identity(bigint);
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drop function if exists udf_test.identity(float);
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drop function if exists udf_test.identity(double);
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drop function if exists udf_test.identity(string);
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drop function if exists udf_test.identity(timestamp);
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create database if not exists udf_test;
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create function udf_test.hive_pi() returns double
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location '/test-warehouse/hive-exec.jar'
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symbol='org.apache.hadoop.hive.ql.udf.UDFPI';
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create function udf_test.hive_round(double) returns double
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location '/test-warehouse/hive-exec.jar'
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symbol='org.apache.hadoop.hive.ql.udf.UDFRound';
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create function udf_test.hive_floor(double) returns bigint
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location '/test-warehouse/hive-exec.jar'
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symbol='org.apache.hadoop.hive.ql.udf.UDFFloor';
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create function udf_test.hive_mod(int, int) returns int
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location '/test-warehouse/hive-exec.jar'
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symbol='org.apache.hadoop.hive.ql.udf.UDFPosMod';
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create function udf_test.hive_bin(bigint) returns string
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location '/test-warehouse/hive-exec.jar'
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symbol='org.apache.hadoop.hive.ql.udf.UDFBin';
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create function udf_test.hive_lower(string) returns string
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location '/test-warehouse/hive-exec.jar'
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symbol='org.apache.hadoop.hive.ql.udf.UDFLower';
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create function udf_test.hive_trim(string) returns string
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location '/test-warehouse/hive-exec.jar'
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symbol='org.apache.hadoop.hive.ql.udf.UDFTrim';
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create function udf_test.identity(boolean) returns boolean
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location '/test-warehouse/impala-hive-udfs.jar'
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symbol='com.cloudera.impala.TestUdf';
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create function udf_test.identity(tinyint) returns tinyint
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location '/test-warehouse/impala-hive-udfs.jar'
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symbol='com.cloudera.impala.TestUdf';
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create function udf_test.identity(smallint) returns smallint
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location '/test-warehouse/impala-hive-udfs.jar'
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symbol='com.cloudera.impala.TestUdf';
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create function udf_test.identity(int) returns int
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location '/test-warehouse/impala-hive-udfs.jar'
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symbol='com.cloudera.impala.TestUdf';
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create function udf_test.identity(bigint) returns bigint
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location '/test-warehouse/impala-hive-udfs.jar'
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symbol='com.cloudera.impala.TestUdf';
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create function udf_test.identity(float) returns float
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location '/test-warehouse/impala-hive-udfs.jar'
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symbol='com.cloudera.impala.TestUdf';
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create function udf_test.identity(double) returns double
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location '/test-warehouse/impala-hive-udfs.jar'
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symbol='com.cloudera.impala.TestUdf';
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create function udf_test.identity(string) returns string
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location '/test-warehouse/impala-hive-udfs.jar'
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symbol='com.cloudera.impala.TestUdf';
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====
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