blob: 2679462aa1020495b693c91737cfe1dfe2721558 [file] [log] [blame]
set hive.mapred.mode=nonstrict;
set hive.optimize.skewjoin.compiletime = true;
CREATE TABLE T1_n101(key STRING, val STRING)
SKEWED BY (key) ON ((2)) STORED AS TEXTFILE;
LOAD DATA LOCAL INPATH '../../data/files/T1.txt' INTO TABLE T1_n101;
CREATE TABLE T2_n64(key STRING, val STRING)
SKEWED BY (key) ON ((3)) STORED AS TEXTFILE;
LOAD DATA LOCAL INPATH '../../data/files/T2.txt' INTO TABLE T2_n64;
-- a simple join query with skew on both the tables on the join key
-- adding a order by at the end to make the results deterministic
EXPLAIN
SELECT a.*, b.* FROM T1_n101 a JOIN T2_n64 b ON a.key = b.key;
SELECT a.*, b.* FROM T1_n101 a JOIN T2_n64 b ON a.key = b.key
ORDER BY a.key, b.key, a.val, b.val;
-- test outer joins also
EXPLAIN
SELECT a.*, b.* FROM T1_n101 a RIGHT OUTER JOIN T2_n64 b ON a.key = b.key;
SELECT a.*, b.* FROM T1_n101 a RIGHT OUTER JOIN T2_n64 b ON a.key = b.key
ORDER BY a.key, b.key, a.val, b.val;
-- an aggregation at the end should not change anything
EXPLAIN
SELECT count(1) FROM T1_n101 a JOIN T2_n64 b ON a.key = b.key;
SELECT count(1) FROM T1_n101 a JOIN T2_n64 b ON a.key = b.key;
EXPLAIN
SELECT count(1) FROM T1_n101 a RIGHT OUTER JOIN T2_n64 b ON a.key = b.key;
SELECT count(1) FROM T1_n101 a RIGHT OUTER JOIN T2_n64 b ON a.key = b.key;