HiveSQL高级进阶技巧

直接上干货,HiveSQL高级进阶技巧,重要性不言而喻。掌握这10个技巧,你的SQL水平将有一个质的提升!

1.删除:

insert overwrite tmp 
select * from tmp where id != '666';

2.更新:

insert overwrite tmp 
select id,label,
       if(id = '1' and label = 'grade','25',value) as value 
from tmp where id != '666';

3.行转列:

-- Step03:最后将info的内容切分
select id,split(info,':')[0] as label,split(info,':')[1] as value
from 
(
-- Step01:先将数据拼接成“heit:180,weit:60,age:26”
    select id,concat('heit',':',height,',','weit',':',weight,',','age',':',age) as value 
    from tmp
) as tmp
-- Step02:然后在借用explode函数将数据膨胀至多行
lateral view explode(split(value,',')) mytable as info;

4.列转行1:

select 
tmp1.id as id,tmp1.value as height,tmp2.value as weight,tmp3.value as age 
from 
(select id,label,value from tmp2 where label = 'heit') as tmp1
join
on tmp1.id = tmp2.id
(select id,label,value from tmp2 where label = 'weit') as tmp2
join
on tmp1.id = tmp2.id
(select id,label,value from tmp2 where label = 'age') as tmp3
on tmp1.id = tmp3.id;

5.列转行2:

select
id,tmpmap['height'] as height,tmpmap['weight'] as weight,tmpmap['age'] as age
from 
(
    select id,
           str_to_map(concat_ws(',',collect_set(concat(label,':',value))),',',':') as tmpmap  
    from tmp2 group by id
) as tmp1;


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