I have a table like this (simplified version):
+------+-------+-----+--------------+-----+
| id | name | age | company.name | ...
+------+-------+-----+--------------------+
| 1 | Adam | 21 | Google | ...
| 3 | Peter | 20 | Apple | ...
| 2 | Bob | 20 | Microsoft | ...
| 9 | Alice | 18 | Google | ...
+------+-------+-----+--------------------+
I need groups data with counting rows by any one column. And I need to get first row in each group. User select which column will be used to group.
If user select column age to group then results:
+------+------------+-------+
| id | group_name | count |
+------+------------+-------+
| 9 | 18 | 1 |
+------+------------+-------+
| 2 | 20 | 2 |
+------+------------+-------+
| 1 | 21 | 1 |
+------+------------+-------+
Column to group may be numeric or string.
Currently I does it by this query:
SELECT id, group_name, users_name, count(id) as count FROM (
SELECT persons.id as id, company.type as group_name, users.name as users_name
FROM persons
LEFT JOIN company on company.id = persons.company_id
LEFT JOIN position on position.id=persons.position_id
...
LEFT JOIN source on source.id=persons.source_id
WHERE ...
ORDER BY if(company.type = '' or company.type is null,1,0) ASC,
company.type ASC, IF(persons.status = '' or persons.status is null,1,0) ASC,
persons.status ASC, persons.id
) t1 GROUP BY group_name
but with new version mysql this SQL stoped works I think that order is ignored in sub-select.
I know that similar topics was wroted, but proposed solutions not working with my query. I have to join many tables, add multiple conditions and use cascade order and then select first row from each group. I will be very happy if solution will be optimised for performace.
---- EDIT ----
Proposed solution: SQL select only rows with max value on a column
which suggest to use MAX() and GROUP BY not working well. For two reason
I created sqlfiddle which include exact example.
http://sqlfiddle.com/#!9/23225d/11/0
-- EXAMPLE 1 - Group by string
-- base query
SELECT persons.*, company.* FROM persons
LEFT JOIN company ON persons.company_id = company.id
ORDER BY company.name ASC, company.id ASC;
-- grouping query
SELECT MAX(persons.id) as id, company.name, count(persons.id) as count
FROM persons
LEFT JOIN company ON persons.company_id = company.id
GROUP BY company.name
ORDER BY company.name ASC, persons.id ASC;
-- The results will be:
-- |ID | NAME | COUNT|
-- |1 | Google | 2 |
-- |3 | Microsoft| 3 |
-- EXAMPLE 2 - Cascade order
-- base query
SELECT persons.*, company.* FROM persons
LEFT JOIN company ON persons.company_id = company.id
ORDER BY company.type ASC, persons.status ASC;
-- grouping query
SELECT MAX(persons.id) as id, company.type, count(persons.id) as count
FROM persons
LEFT JOIN company ON persons.company_id = company.id
GROUP BY company.type
ORDER BY company.type ASC, persons.status ASC;
-- The results will be:
-- |ID | NAME| COUNT|
-- |3 | 1 | 2 |
-- |2 | 2 | 3 |
Just change MAX()
to MIN()
to get the first row instead of the last row in each group.
To get the extreme values of cascading columns, see SQL : Using GROUP BY and MAX on multiple columns . Use that in the subquery part of the query to get the row containing those extremes, as in SQL select only rows with max value on a column .
So the form of the full query is:
SELECT t1.id, t1.grouped_column, t2.count
FROM yourTable AS t
JOIN (SELECT t3.grouped_column, t3.order_column1, MIN(t4.order_column2) AS order_column2, SUM(t3.count) AS count
FROM (SELECT grouped_column, MIN(order_column1) AS order_column1, COUNT(*) AS count
FROM yourTable
GROUP BY grouped_column) AS t3
JOIN yourTable AS t4
ON t3.grouped_column = t4.grouped_column AND t3.order_column1 = t4.order_column1
GROUP BY t4.grouped_column, t4.order_column1) AS t2
ON t1.grouped_column = t2.grouped_column AND t1.ordered_column1 = t2.order_column1 AND t1.order_column2 = t2.order_column2
Since you want to operate on a join, I suggest you define a view that uses the join. Then you can use that view in place of yourTable
in the above query.
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