set hive.stats.autogather=false;
set hive.optimize.union.remove=true;
set hive.mapred.supports.subdirectories=true;

set hive.merge.sparkfiles=false;
set hive.merge.mapfiles=false;
set hive.merge.mapredfiles=false;
set mapred.input.dir.recursive=true;

-- This is to test the union->selectstar->filesink optimization
-- Union of 2 map-reduce subqueries is performed followed by select star and a file sink
-- There is no need to write the temporary results of the sub-queries, and then read them 
-- again to process the union. The union can be removed completely.
-- One sub-query has a double and the other sub-query has a bigint.
-- INCLUDE_HADOOP_MAJOR_VERSIONS(0.23)
-- Since this test creates sub-directories for the output table outputTbl1, it might be easier
-- to run the test only on hadoop 23

create table inputTbl1(key string, val string) stored as textfile;
create table outputTbl1(key double, `values` bigint) stored as textfile;

load data local inpath '../../data/files/T1.txt' into table inputTbl1;

EXPLAIN
INSERT OVERWRITE TABLE outputTbl1
SELECT * FROM
(
  SELECT CAST(key AS DOUBLE) AS key, count(1) as `values` FROM inputTbl1 group by key
  UNION ALL
  SELECT CAST(key AS BIGINT) AS key, count(1) as `values` FROM inputTbl1 group by key
) a;

INSERT OVERWRITE TABLE outputTbl1
SELECT * FROM
(
  SELECT CAST(key AS DOUBLE) AS key, count(1) as `values` FROM inputTbl1 group by key
  UNION ALL
  SELECT CAST(key AS BIGINT) AS key, count(1) as `values` FROM inputTbl1 group by key
) a;

desc formatted outputTbl1;

set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
select * from outputTbl1 order by key, `values`;