I have organizations. Each organization can have members and projects.
I want to get list of organizations with number of members and projects.
For example,
Organization | Members | Projects | Action
------------------------------------------
Org 1 | 5 | 6 | Delete - Edit
Org 2 | 2 | 9 | Delete - Edit
I am using this query,
SELECT COUNT(m.id) as members, COUNT(p.id) as projects,
o.status,o.organization_name,o.logo, o.id as id
from tbl_organizations o
LEFT JOIN tbl_organization_members m ON (o.id = m.organization_id)
LEFT JOIN tbl_projects p ON (o.id = p.organization_id)
WHERE o.status= 'active' AND o.created_by= 1
But the output of number of projects is equal to number of members.
How can I make the sample above using query?
Try this way:
SELECT o.id as id, o.organization_name, cnt_ as members, cnt_p as projects
from tbl_organizations o
LEFT JOIN (
SELECT organization_id, COUNT(id) cnt_m
FROM tbl_organization_members
GROUP BY organization_id
) m ON (o.id = m.organization_id)
LEFT JOIN (
SELECT organization_id, COUNT(id) cnt_p
FROM tbl_projects
GROUP BY organization_id
) p ON (o.id = p.organization_id)
WHERE o.status= 'active' AND o.created_by= 1
This way you JOIN to an already aggregated version of member/project tables, so as to get the count of members/projects per organization_id.
Group by the organisation columns and count distinct IDs
SELECT o.status,o.organization_name, o.logo, o.id as id,
COUNT(distinct m.id) as members, COUNT(distinct p.id) as projects,
from tbl_organizations o
LEFT JOIN tbl_organization_members m ON (o.id = m.organization_id)
LEFT JOIN tbl_projects p ON (o.id = p.organization_id)
WHERE o.status= 'active'
AND o.created_by= 1
GROUP BY o.status, o.organization_name, o.logo, o.id
You can co-related subquery:
SELECT
o.id as Organization,
(SELECT COUNT(*) FROM tbl_organization_members WHERE organization_id = o.id) as members,
(SELECT COUNT(*) FROM tbl_projects WHERE organization_id = o.id) as projects
FROM
tbl_organizations o
WHERE
o.status= 'active' AND o.created_by = 1
Related
I have three tables:
person
-----------
person_id, active
person_team
-----------
person_id, team_id, active
team
-----------
team_id, active
I'd like to get the count on teams from each person where active is true in each table.
So far I have:
SELECT t.id, t.title, t.created_timestamp, COUNT(p_t.tag_id) AS count
FROM team t
LEFT JOIN
person_team p_t ON p_t.team_id = t.id AND p_t.active = 1
WHERE
t.active = 1
GROUP BY t.id
ORDER BY t.title
This gets the count where team and person - team are active, but doesn't take into account whether person is active. Should I use a sub query or another type of join?
You need to add the person table in a join, and count a column from that table:
SELECT t.id, t.title, t.created_timestamp, COUNT(p.id) AS count
FROM team t
LEFT JOIN
person_team p_t ON p_t.team_id = t.id AND p_t.active = 1
LEFT JOIN
person p ON p_t.person_id = p.id AND p.active = 1
WHERE
t.active = 1
GROUP BY t.id
ORDER BY t.title
You should use a inner join on sub select for get the columns not in group by
select k.id, t.title, t.created_timestamp, k.count from
( SELECT t.id COUNT(p_t.tag_id) AS count
FROM team t
LEFT JOIN
person_team p_t ON p_t.team_id = t.id AND p_t.active = 1
WHERE
t.active = 1
GROUP BY t.id ) k
inner join team t on t.id = k.id
I am trying to figure out how to find duplicats based on several different columns and tables.
I've got these tables:
products
tags (lists tagid and productid - one row per tag)
groups (lists groupid and productid - one row per groupid)
I want to find exact matches in my table products on columns productName, brandid, origin. But to cast the row as a duplicate I also need to compare so that they have the exact same tags (column: tagid) and groups (column: groupid) assigned.
Every product may have multiple tags and multiple groups.
This is what I've come up with... but it's not quite doing what I need it to.
SQLFiddle
http://sqlfiddle.com/#!9/43f19/1
In my SQL fiddle example I have listed 10 different products.
For example, products 1,2 are exact matches and thus should be listed as a duplicate.
Product number 3 only has one group assigned and thus differ from product 1 and 2 even if any other parameter fits (it should not be listed). My intention with the dupid column would be to list the first entry of a set of duplicates.
id | name | brandid | origin | tags | groups | dupid
1 | prod | 1 | England | 1,2 | 1,2 | 1
2 | prod | 1 | England | 1,2 | 1,2 | 1
3 | prod | 1 | England | 1,2 | 1 | 3
Complete set of items that should be listed as exact matches in my SQL fiddle are:
id 1
id 2
id 4
id 5
My guess why this fails is that I have not succeeded to involve the tags and the groups correctly into my comparison.
SELECT m.*,dup.id AS dupid,GROUP_CONCAT(DISTINCT t.tagid ORDER BY t.tagid ASC) AS alltags,GROUP_CONCAT(DISTINCT g.groupid ORDER BY g.groupid ASC) AS groups
FROM `products` m
JOIN (SELECT id,`productName`, brandid, origin, COUNT(*) AS c FROM products
GROUP BY `productName`, brandid, origin HAVING c > 1) dup ON m.`productName` = dup.`productName` AND m.brandid = dup.brandid AND m.origin = dup.origin
LEFT JOIN tags AS t ON t.productid = m.id
LEFT JOIN groups AS g ON g.productid = m.id
GROUP BY m.id
ORDER BY `productName`,brandid,origin
Any help and/or advice on how to achieve this is highly appricated.
My guess is that you are missing an aggregation function on the subquery on ID field, also - you need to group by productname,origin and brand and not id so try this:
SELECT m.*,dup.id AS dupid,GROUP_CONCAT(DISTINCT t.tagid ORDER BY t.tagid ASC) AS alltags,GROUP_CONCAT(DISTINCT g.groupid ORDER BY g.groupid ASC) AS groups
FROM `products` m
JOIN (SELECT min(id) as id,`productName`, brandid, origin, COUNT(*) AS c FROM products
GROUP BY `productName`, brandid, origin HAVING c > 1) dup ON m.`productName` = dup.`productName` AND m.brandid = dup.brandid AND m.origin = dup.origin
LEFT JOIN tags AS t ON t.productid = m.id
LEFT JOIN groups AS g ON g.productid = m.id
GROUP BY m.`productName`,m.brandid,m.origin
ORDER BY m.`productName`,m.brandid,m.origin
EDIT : You can use this query:
SELECT tt.*
FROM(
SELECT m.*,GROUP_CONCAT(DISTINCT t.tagid ORDER BY t.tagid ASC) AS alltags,GROUP_CONCAT(DISTINCT g.groupid ORDER BY g.groupid ASC) AS groups
FROM `products` m
LEFT JOIN tags AS t ON t.productid = m.id
LEFT JOIN groups AS g ON g.productid = m.id
GROUP BY m.id) tt
INNER JOIN
(SELECT productName,brandid,origin,alltags,groups
FROM
(SELECT m.*,GROUP_CONCAT(DISTINCT t.tagid ORDER BY t.tagid ASC) AS alltags,GROUP_CONCAT(DISTINCT g.groupid ORDER BY g.groupid ASC) AS groups
FROM `products` m
LEFT JOIN tags AS t ON t.productid = m.id
LEFT JOIN groups AS g ON g.productid = m.id
GROUP BY m.id) s
GROUP BY productName,brandid,origin,alltags,groups
HAVING COUNT(*) > 1) ss
ON(tt.productName = ss.productName and tt.brandid = ss.brandid and tt.origin = ss.origin
and tt.alltags = ss.alltags and tt.groups = ss.groups)
I have a query on 3 tables, settlement, order and passenger.
A settlement has orders, and orders has passengers.
TABLE: Settlemnt
id
TABLE: Order
id settlement_id
TABLE: passenger
id orders_id
If settlement has no orders (and then no passengers), it returns nothing.
What I want, is to return the empty settlement even if it has no orders.
It is the count(passengers) that ruins it for me and returns no settlement if empty.
This is the simplified query:
select s.id, o.id, count(distinct p.id)
from settlement s
left join orders o ON o.settlement_id = s.id
left join passenger p on p.orders_id = o.id
where s.date = '2016-02-02';
group by o.id
How can I make it return settlements with no orders?
Works for me...
SELECT s.id s_id
, o.id o_id
, p.id p_id
FROM settlement s
LEFT
JOIN orders o
ON o.sid = s.id
LEFT
JOIN passengers p
ON p.oid = o.id;
+------+------+------+
| s_id | o_id | p_id |
+------+------+------+
| 1 | NULL | NULL |
| 2 | 1 | 1 |
+------+------+------+
http://sqlfiddle.com/#!9/9a01b/4
The major problem with your query appears to be that you GROUP BY the o.id. Any settlement that has no order will have an o.id of NULL, hence all settlements with no orders will be lumped together into one row. Which s.id that is returned for this o.id is not defined (and effectively random).
Change it to GROUP BY both s.id and o.id
SELECT s.id,
o.id,
COUNT(DISTINCT p.id)
FROM settlement s
LEFT JOIN orders o ON o.settlement_id = s.id
LEFT JOIN passenger p ON p.orders_id = o.id
WHERE s.date = '2016-02-02';
GROUP BY s.id,
o.id
After 2 days of searching and trying similar questions, it's got to the point where I need to ask the question!
I have the following database structure (simplified)..
mt_product | mt_sku | mt_price
========== | ====== | ========
id | brand_id | mpn | id | product_id | retailer_id | sku | id | sku_id | price | date
For instance...
* A can of Coca-Cola is ONE product.
* It can be sold in many different retailers, who will all have a SKU for it.
* This SKU will have a price, which can change day-by-day.
I want to list the total number of prices for the product.
To list this I currently have the following query which nearly works...
SELECT
p.id AS pid, p.title AS p_title, p.cat, p.mpn,
b.id AS bid, b.name AS brand,
(SELECT COUNT(s.id) FROM mt_sku AS s WHERE s.pid = p.id) AS num_sku,
(SELECT COUNT(gbp.id) FROM mt_price AS gbp INNER JOIN mt_sku ON mt_sku.id = gbp.sid ) AS num_price
FROM mt_product AS p
INNER JOIN mt_brand b ON p.bid = b.id
INNER JOIN mt_sku s ON p.id = s.pid
num_sku returns as expected, however when I introduce the second sub query for num_price (and I have revised this many times) I either get...
* no duplications of the pid but the num_price is the total number of prices to SKUs, not the amount of prices for this product_id (as query above) eg1_img
* the correct number of num_price, but instead of totalling up the total num_price, the pid is duplicated in the table (as query below) - therefore as the pid is duplicated, this does not give me the result I want. I added DISTINCT as it helped an earlier version of the query, it now makes no difference. eg2_img
SELECT
DISTINCT(p.id) AS pid, p.title AS p_title, p.cat, p.mpn,
b.id AS bid, b.name AS brand,
(SELECT COUNT(s.id) FROM mt_sku AS s WHERE s.pid = p.id) AS num_sku,
(SELECT COUNT(gbp.id) FROM mt_price AS gbp WHERE s.id = gbp.sid) AS num_price
FROM mt_product AS p
INNER JOIN mt_brand b ON p.bid = b.id
INNER JOIN mt_sku s ON p.id = s.pid
I'm pretty sure the key to this is that
product can have multiple SKUs, of which a SKU has multiple price history.
Any help or ideas of the schema would be superb.
Try this:
SELECT
p.id AS pid, p.title AS p_title, p.cat, p.mpn,
b.id AS bid, b.name AS brand,
COUNT(DISTINCT s.id) AS num_sku,
COUNT(gbp.id) AS num_price
FROM mt_product AS p
INNER JOIN mt_brand b ON p.brand_id = b.id
INNER JOIN mt_sku s ON p.id = s.product_id
INNER JOIN mt_price gbp ON s.id = gbp.sku_id
GROUP BY b.id, p.id
The products that don't have SKUs defined will not appear in the result set. Use LEFT JOIN mt_sku to make them appear in the result set (having 0 for num_sku and num_price):
LEFT JOIN mt_sku s ON p.id = s.product_id
In both variants of the query, the products that do not have prices defined will not appear in the result set. Use LEFT JOIN mt_price to include them into the result set (having 0 for num_price):
LEFT JOIN mt_price gbp ON s.id = gbp.sku_id
Take a look at the MySQL documentation for JOINs, GROUP BY and GROUP BY aggregate functions.
If you want to list the total prices then you need correlations.
Your first count is fine, because it is correlated to the outer query. The second has no correlation, so that seems strange. The following fixes the num_price subquery:
SELECT p.id AS pid, p.title AS p_title, p.cat, p.mpn,
b.id AS bid, b.name AS brand,
(SELECT COUNT(s2.id) FROM mt_sku s2 WHERE s2.pid = p.id) AS num_sku,
(SELECT COUNT(gbp.id) FROM mt_price gbp WHERE s.id = gbp.sid ) AS num_price
FROM mt_product p INNER JOIN
mt_brand b
ON p.bid = b.id INNER JOIN
mt_sku s
ON p.id = s.pid;
I'm also not sure why you have all the joins in the outer query. I assume that a given product is going to have multiple rows, and you want the multiple rows to have the same num_sku and num_price values.
I have a query like this
SELECT o.product_id,
p.name,
count(o.product_id) AS total_products_sold,
(SELECT count(o.id)
FROM ebay.`order` o) AS total_orders
FROM ebay.`order` o
INNER JOIN product p ON o.product_id = p.id
GROUP BY o.product_id
The total_orders is rerun when executed for each which not i want. I
Question:
I want the total_orders combines with every result set from the outer query.
I tried this but it only return 1 row
SELECT tps.product_id,
tps.name,
tps.total_products_sold,
count(oo.id) AS total_orders
FROM ebay.`order` oo
INNER JOIN
( SELECT o.id,
o.product_id,
p.name,
count(o.product_id) AS total_products_sold
FROM ebay.`order` o
INNER JOIN product p ON o.product_id = p.id
GROUP BY o.product_id ) AS tps ON oo.product_id = tps.product_id
Any better solution ?
Thanks.
You can use with rollup which will give you the total without changing the actual query
It wont give you the result in column of every row but you will get the result of total orders in the last row.
SELECT
o.product_id,
p.name,
count(distinct o.id) AS totalorder
FROM
ebay.`order` o
INNER JOIN
product p
ON
o.product_id = p.id
GROUP BY
o.product_id
WITH ROLLUP
For example
+-----------+------+------------+
| product_id| name | totalorder |
+-----------+------+------------+
| 2000 | A | 10 |
| 2001 | B | 20 |
| NULL | NULL | 30 | <--- Last row is having the Total order
+-----------+------+------------+
WITH ROLLUP
SELECT tps.product_id,
tps.name,
tps.total_products_sold,
s.total_orders
FROM ebay.`order` oo
INNER JOIN
(
SELECT o.id,
o.product_id,
p.name,
count(o.product_id) AS total_products_sold
FROM ebay.`order` o
INNER JOIN product p
ON o.product_id = p.id
GROUP BY o.product_id
) AS tps ON oo.product_id = tps.product_id
CROSS JOIN
(
SELECT count(id) total_orders
FROM ebay.`order`
) s