在Postgres上选择一个联接表的多个聚合 [英] Select multiple aggregates of a joined table on Postgres
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问题描述
给出表projects
:
id | bigint | not null default nextval('projects_id_seq'::regclass)
name | character varying |
created_at | timestamp(6) without time zone | not null
updated_at | timestamp(6) without time zone | not null
和tasks
:
id | bigint | not null default nextval('tasks_id_seq'::regclass)
name | character varying |
project_id | bigint | not null
created_at | timestamp(6) without time zone | not null
updated_at | timestamp(6) without time zone | not null
status | task_status |
task_status
是一个枚举:
CREATE TYPE task_status AS ENUM ('pending', 'in_progress', 'complete')
我想从项目和pending
,in_progress
和complete
任务的计数中选择名称和ID.
I want to select name and id from projects and counts of the pending
, in_progress
and complete
tasks.
id | name | pending_tasks_count | in_progress_tasks_count | complete_tasks_count
----+--------------------------------+---------------------+-------------------------+----------------------
2 | Dickens, Walker and Rutherford | 1 | 8 | 5
5 | Bailey-Kreiger | 0 | 0 | 4
4 | Ledner, Ullrich and Davis | 2 | 1 | 2
1 | Price-Fisher | 3 | 4 | 1
3 | Harber LLC | 1 | 2 | 1
到目前为止,我只是在做三个笨拙的子查询:
What I have so far is just doing three ungainly subqueries:
SELECT projects.id, projects.name,
(SELECT COUNT(tasks.*) FROM tasks WHERE tasks.project_id = projects.id
AND tasks.status = 'pending') AS pending_tasks_count,
(SELECT COUNT(tasks.*) FROM tasks WHERE tasks.project_id = projects.id
AND tasks.status = 'in_progress') AS in_progress_tasks_count,
(SELECT COUNT(tasks.*) FROM tasks WHERE tasks.project_id = projects.id
AND tasks.status = 'complete') AS complete_tasks_count
FROM projects
LEFT OUTER JOIN tasks
ON tasks.project_id = projects.id GROUP BY projects.id
是否有一种更优雅/更高效的解决方案来选择骨料?
Is there a more elegant/performant solution to select the aggregates?
推荐答案
您可以使用条件聚合来透视数据.在Postgres中,聚合函数的filter
功能对此很方便:
You can pivot your data with conditional aggregation. In Postgres, the filter
functionality of aggregate functions comes handy for this:
select
p.id,
p.name,
count(*) filter(where t.status = 'pending') pending_tasks_count,
count(*) filter(where t.status = 'in_progress') in_progress_tasks_count,
count(*) filter(where t.status = 'complete') complete_tasks_count
from projects p
inner join tasks t on t.project_id = p.id
group by p.id, p.name
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