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`;