如何将多个行值展平为 postgres 中的连接字符串?
How to flatten multiple row values into concatenated string in postgres?
我有一组简单的三个 table。 2 "source" tables 和一个允许一对多关系的 "join" table。
我有这个问题:
select data.mph1.data ->> 'name' as name, data.mph1.data ->> 'tags' as Tags,
data.mph2.data ->> 'School' as school from data.mph1
join data.mph1tomph2 on data.mph1tomph2.mph1 = data.mph1.id
join data.mph2 on data.mph2.id = data.mph1tomph2.mph2
输出显示为:
Name Tags School
"Steve Jones" "["tag1", "tag2"]" "UMass"
"Steve Jones" "["tag1", "tag2"]" "Harvard"
"Gary Summers" "["java", "postgres", "flutter"]" "Yale"
"Gary Summers" "["java", "postgres", "flutter"]" "Harvard"
"Gary Summers" "["java", "postgres", "flutter"]" "UMass"
我要找的是
Name Tags School
"Steve Jones" "["tag1", "tag2"]" "UMass", "Harvard"
"Gary Summers" "["java", "postgres", "flutter"]" "Yale, Harvard, UMass"
如何在单个查询中获得此结果?可能吗?
使用聚合函数string_agg()
select
data.mph1.data ->> 'name' as name,
data.mph1.data ->> 'tags' as tags,
string_agg(data.mph2.data ->> 'School', ', ') as school
from data.mph1
join data.mph1tomph2 on data.mph1tomph2.mph1 = data.mph1.id
join data.mph2 on data.mph2.id = data.mph1tomph2.mph2
group by data.mph1.id -- if id is a primary key
-- group by 1, 2 -- otherwise
我有一组简单的三个 table。 2 "source" tables 和一个允许一对多关系的 "join" table。
我有这个问题:
select data.mph1.data ->> 'name' as name, data.mph1.data ->> 'tags' as Tags,
data.mph2.data ->> 'School' as school from data.mph1
join data.mph1tomph2 on data.mph1tomph2.mph1 = data.mph1.id
join data.mph2 on data.mph2.id = data.mph1tomph2.mph2
输出显示为:
Name Tags School
"Steve Jones" "["tag1", "tag2"]" "UMass"
"Steve Jones" "["tag1", "tag2"]" "Harvard"
"Gary Summers" "["java", "postgres", "flutter"]" "Yale"
"Gary Summers" "["java", "postgres", "flutter"]" "Harvard"
"Gary Summers" "["java", "postgres", "flutter"]" "UMass"
我要找的是
Name Tags School
"Steve Jones" "["tag1", "tag2"]" "UMass", "Harvard"
"Gary Summers" "["java", "postgres", "flutter"]" "Yale, Harvard, UMass"
如何在单个查询中获得此结果?可能吗?
使用聚合函数string_agg()
select
data.mph1.data ->> 'name' as name,
data.mph1.data ->> 'tags' as tags,
string_agg(data.mph2.data ->> 'School', ', ') as school
from data.mph1
join data.mph1tomph2 on data.mph1tomph2.mph1 = data.mph1.id
join data.mph2 on data.mph2.id = data.mph1tomph2.mph2
group by data.mph1.id -- if id is a primary key
-- group by 1, 2 -- otherwise