Data loss on map join for bucketed, partitioned table

CREATE TABLE `testj2`(
  `id` int, 
  `bn` string, 
  `cn` string, 
  `ad` map<string,int>, 
  `mi` array<int>)
PARTITIONED BY ( 
  `br` string)
CLUSTERED BY ( 
  bn) 
INTO 2 BUCKETS
ROW FORMAT DELIMITED
FIELDS TERMINATED BY ','
STORED AS TEXTFILE
TBLPROPERTIES (
  'bucketing_version'='2');

CREATE TABLE `testj1`(
  `id` int, 
  `can` string, 
  `cn` string, 
  `ad` map<string,int>, 
  `av` boolean, 
  `mi` array<int>)
PARTITIONED BY ( 
  `brand` string)
CLUSTERED BY ( 
  can) 
INTO 2 BUCKETS
ROW FORMAT DELIMITED
FIELDS TERMINATED BY ','
STORED AS TEXTFILE
TBLPROPERTIES (
  'bucketing_version'='2');

insert into testj1 values (100, 'mes_1', 'customer_1',  map('city1', 560077), false, array(5, 10), 'brand_1'),
(101, 'mes_2', 'customer_2',  map('city2', 560078), true, array(10, 20), 'brand_2'),
(102, 'mes_3', 'customer_3',  map('city3', 560079), false, array(15, 30), 'brand_3'),
(103, 'mes_4', 'customer_4',  map('city4', 560080), true, array(20, 40), 'brand_4'),
(104, 'mes_5', 'customer_5',  map('city5', 560081), false, array(25, 50), 'brand_5');

insert into table testj2 values (100, 'tv_0', 'customer_0', map('city0', 560076),array(0, 0, 0), 'tv'),
(101, 'tv_1', 'customer_1', map('city1', 560077),array(20, 25, 30), 'tv'),
(102, 'tv_2', 'customer_2', map('city2', 560078),array(40, 50, 60), 'tv'),
(103, 'tv_3', 'customer_3', map('city3', 560079),array(60, 75, 90), 'tv'),
(104, 'tv_4', 'customer_4', map('city4', 560080),array(80, 100, 120), 'tv');

select t1.id, t1.can, t1.cn, t2.bn,t2.ad, t2.br FROM testj1 t1 JOIN testj2 t2 on (t1.id = t2.id) order by t1.id;