SQLite 计数汇总查询

Question

我正在尝试获取一个查询来总结每个员工本周的工作。例如，John Doe 本周总共制作了 12 个工单，其中 4 个是“中断/修复”，4 个是“增强”，另外 4 个是未分类。

这是我到目前为止所得到的：

SELECT (users.first_name || ' ' || users.last_name) AS Name,
  COUNT(tickets.id) AS 'Number of Tickets Closed',
  COUNT(tickets.category = 'Maintenance') AS 'Maintenance Tickets',
  COUNT(tickets.category = 'After Hours') AS 'After Hours Tickets',
  COUNT(tickets.category = 'Break Fix') AS 'Break Fix Tickets',
  COUNT(tickets.category = 'Enhancement') AS 'Enhancement Tickets',
  COUNT(tickets.category = '') AS 'Non Categorized Tickets'
FROM tickets, users
ON tickets.assigned_to=users.id
WHERE (tickets.status = 'closed') AND
  (tickets.closed_at >= '2011-07-16 00:00:00') AND
  (tickets.closed_at <= '2011-07-22 23:59:59')
GROUP BY Name;

这是一个示例结果：

John Doe1 10 10 10 10 10 10

John Doe2 2 2 2 2 2 2

John Doe3 25 24 24 24 24 24

John Doe4 2 2 2 2 2 2

John Doe5 12 10 10 10 10 10

无名氏6 7 7 7 7 7 7

该查询不太像我预期的那样工作，因为所有列的总数相同（已关闭的票证总数，以下列似乎只包含分类的票证。）有帮助吗？

编辑

只是想发布功能代码：

SELECT (users.first_name || ' ' || users.last_name) AS Name,
  COUNT(tickets.id) AS 'Number of Tickets Closed',
  COUNT(case tickets.category when 'Maintenance' then 1 else null end) AS 'Maintenance Tickets',
  COUNT(case tickets.category when 'After Hours' then 1 else null end) AS 'After Hours Tickets',
  COUNT(case tickets.category when 'Break Fix' then 1 else null end) AS 'Break Fix Tickets',
  COUNT(case tickets.category when 'Enhancement' then 1 else null end) AS 'Enhancement Tickets',
  COUNT(case tickets.category when '' then 1 else null end) AS 'Non Categorized Tickets'
FROM tickets, users
ON tickets.assigned_to=users.id
WHERE (tickets.status = 'closed') AND
  (tickets.closed_at >= '2011-07-16') AND
  (tickets.closed_at <= '2011-07-22')
GROUP BY Name;

Answer 1

你可能想像这样使用 COUNT

...
    COUNT(case tickets.category when 'Maintenance' then 1 else null end),
    COUNT(case tickets.category when 'After Hours' then 1 else null end),
...

Answer 2

在我看来，您不能在 GROUP BY 子句中使用别名。您的用户没有可以用来区分他们的 ID 吗？

如果要与条件进行比较，则必须使用 SUM 而不是 COUNT。

SELECT (users.first_name || ' ' || users.last_name) AS Name,
  COUNT(tickets.id) AS 'Number of Tickets Closed',
  SUM(tickets.category = 'Maintenance') AS 'Maintenance Tickets',
  SUM(tickets.category = 'After Hours') AS 'After Hours Tickets',
  SUM(tickets.category = 'Break Fix') AS 'Break Fix Tickets',
  SUM(tickets.category = 'Enhancement') AS 'Enhancement Tickets',
  SUM(tickets.category = '') AS 'Non Categorized Tickets'
FROM tickets, users
ON tickets.assigned_to=users.id
WHERE (tickets.status = 'closed') AND
  (tickets.closed_at >= '2011-07-16 00:00:00') AND
  (tickets.closed_at <= '2011-07-22 23:59:59')
GROUP BY Name;