--! qt:dataset:part
set hive.strict.checks.bucketing=false;

set hive.mapred.mode=nonstrict;
-- small 1 part, 4 bucket & big 2 part, 2 bucket
CREATE TABLE bucket_small_n3 (key string, value string) partitioned by (ds string) CLUSTERED BY (key) SORTED BY (key) INTO 4 BUCKETS STORED AS TEXTFILE
TBLPROPERTIES('bucketing_version'='1');
load data local inpath '../../data/files/auto_sortmerge_join/small/000000_0' INTO TABLE bucket_small_n3 partition(ds='2008-04-08');
load data local inpath '../../data/files/auto_sortmerge_join/small/000001_0' INTO TABLE bucket_small_n3 partition(ds='2008-04-08');
load data local inpath '../../data/files/auto_sortmerge_join/small/000002_0' INTO TABLE bucket_small_n3 partition(ds='2008-04-08');
load data local inpath '../../data/files/auto_sortmerge_join/small/000003_0' INTO TABLE bucket_small_n3 partition(ds='2008-04-08');

CREATE TABLE bucket_big_n3 (key string, value string) partitioned by (ds string) CLUSTERED BY (key) SORTED BY (key) INTO 2 BUCKETS STORED AS TEXTFILE
TBLPROPERTIES('bucketing_version'='1');
load data local inpath '../../data/files/auto_sortmerge_join/big/000000_0' INTO TABLE bucket_big_n3 partition(ds='2008-04-08');
load data local inpath '../../data/files/auto_sortmerge_join/big/000001_0' INTO TABLE bucket_big_n3 partition(ds='2008-04-08');

load data local inpath '../../data/files/auto_sortmerge_join/big/000000_0' INTO TABLE bucket_big_n3 partition(ds='2008-04-09');
load data local inpath '../../data/files/auto_sortmerge_join/big/000001_0' INTO TABLE bucket_big_n3 partition(ds='2008-04-09');

set hive.auto.convert.join=true;
set hive.auto.convert.sortmerge.join=true;
set hive.optimize.bucketmapjoin = true;
set hive.optimize.bucketmapjoin.sortedmerge = true;
set hive.auto.convert.sortmerge.join.to.mapjoin=false;
set hive.auto.convert.sortmerge.join.bigtable.selection.policy = org.apache.hadoop.hive.ql.optimizer.LeftmostBigTableSelectorForAutoSMJ;
-- disable hash joins
set hive.auto.convert.join.noconditionaltask.size=10;

-- Since the leftmost table is assumed as the big table, arrange the tables in the join accordingly
explain extended select count(*) FROM bucket_big_n3 a JOIN bucket_small_n3 b ON a.key = b.key;
select count(*) FROM bucket_big_n3 a JOIN bucket_small_n3 b ON a.key = b.key;

set hive.auto.convert.sortmerge.join.to.mapjoin=true;
set hive.mapjoin.localtask.max.memory.usage = 0.0001;
set hive.mapjoin.check.memory.rows = 2;

-- The mapjoin should fail resulting in the sort-merge join
explain extended select count(*) FROM bucket_big_n3 a JOIN bucket_small_n3 b ON a.key = b.key;
select count(*) FROM bucket_big_n3 a JOIN bucket_small_n3 b ON a.key = b.key;