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最近同事开发一功能,用到列转行并且排序的时候发现有部分乱序问题。这里记录一下解决方案
有如下一张表test_concat
spark-sql> desc test_concat;
user_name string NULL
habbits string NULL
order_num int NULL
spark-sql> select * from test_concat order by user_name ,order_num ; jack games 1 jack music 2 jack movie 3 jack sing 4 jack 3c 5 jack 5g 6 jack phone 7 jack pc 8 jack xbox 9 jack swing 10 Jack xxxxx 11 jack walk 12 jim games 1 jim movie 2 jim dance 3 jim music 4 tom movie 1 tom games 2 tom music 3
功能需要按照用户将习惯根据排序合并,核心就是列转行。
同事的代码直接是concat_ws进行列转行:
select
user_name ,concat_ws(',',collect_list(tbb.habbits)) as habbit
from test_concat tbb
group by tbb.user_name;
结果发现habbit新的habbit列没有按照order_num进行排序
下面提供几种解决方案
select
user_name ,concat_ws(',',collect_set(tbb.habbits)) as habbit
from (
select * from test_concat order by order_num
) tbb group by tbb.user_name;
这里发现仍然是乱序,因为collect_set是乱序的,需要使用collect_list
select
user_name ,concat_ws(',',collect_list(tbb.habbits)) as habbit
from (
select * from test_concat order by order_num
) tbb group by tbb.user_name;
但是这种方式也有风险。在测试的时候是正常排序,同事上生产之后发现还是会有乱序
select
tbb.user_name,concat_ws(',',sort_array(collect_set(tbb.habbit))) as habbit
from(
select
user_name ,concat(cast(order_num as string),'_',habbits) as habbit,order_num
from test_concat order by user_name,order_num
)tbb group by tbb.user_name;
这里发现一个新的问题,concat_ws拼接的字段是string类型,1与10放到了一起,排序仍然有问题
select
tbb.user_name,concat_ws(',',sort_array(collect_set(tbb.habbit))) as habbit
from(
select
user_name ,concat(cast(lpad(order_num,4,'0') as string),'_',habbits) as habbit,order_num
from test_concat order by user_name,order_num
)tbb group by tbb.user_name;
这种情况下,habbit一定是按照order_num的顺序进行拼接。
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