I have 3 tables
TABLE ii_ProductCategory
-------------------
id title
TABLE ii_Product2Category
-------------------
categoryId productId
TABLE ii_Product
----------------
id minPrice
I want to find all Categories are either not contained in ii_Product2Category at all or are only linked to products that have minPrice IS NULL.
Here is my attempt. I am getting a GROUP BY ERROR.
SELECT COUNT(DISTINCT p2c.`categoryId`) as "ProdCount",
cat.`id`,
cat.`title`,
prod.`minPrice`
FROM `ii_ProductCategory` cat
LEFT JOIN `ii_Product2Category` p2c
ON p2c.`categoryId` = cat.`id`
LEFT JOIN `ii_Product` prod
ON p2c.`productId` = prod.`id`
WHERE prod.`minPrice` IS NULL
AND COUNT(DISTINCT p2c.`categoryId`) = 0
GROUP BY cat.`id`
I tried moving the prod.minPrice IS NULL to a HAVING on the join but that didn't work either. I also want to be able to drop the AND COUNT(DISTINCT p2c.categoryId) = 0 and sort by ProdCount so I can see total numbers of products in each whether they are null or not.
It doesn't make sense to not grouping the non-aggregated columns.
SELECT COUNT(DISTINCT p2c.`categoryId`) as "ProdCount",
cat.`id`,
cat.`title`,
prod.`minPrice`
FROM `ii_ProductCategory` cat
LEFT JOIN `ii_Product2Category` p2c
ON p2c.`categoryId` = cat.`id`
LEFT JOIN `ii_Product` prod
ON p2c.`productId` = prod.`id`
WHERE prod.`minPrice` IS NOT NULL
GROUP BY cat.`id`, cat.`title`, prod.`minPrice`
HAVING COUNT(DISTINCT p2c.`categoryId`) = 0
Related
I have following tables
contacts
contact_id | contact_slug | contact_first_name | contact_email | contact_date_added | company_id | contact_is_active | contact_subscribed | contact_last_name | contact_company | contact_twitter
contact_campaigns
contact_campaign_id | contact_id | contact_campaign_created | company_id | contact_campaign_sent
bundle_feedback
bundle_feedback_id | bundle_id, contact_id | company_id | bundle_feedback_rating | bundle_feedback_favorite_track_id | bundle_feedback_supporting | campaign_id
bundles
bundle_id | bundle_name | bundle_created | company_id | bundle_is_active
tracks
track_id | company_id | track_title
I wrote this query, but it works slowly, how can I optimize this query to make it faster ?
SELECT SQL_CALC_FOUND_ROWS c.contact_id,
c.contact_first_name,
c.contact_last_name,
c.contact_email,
c.contact_date_added,
c.contact_company,
c.contact_twitter,
concat(c.contact_first_name," ", c.contact_last_name) AS fullname,
c.contact_subscribed,
ifnull(icc.sendCampaignsCount, 0) AS sendCampaignsCount,
ifnull(round((ibf.countfeedbacks/sendCampaignsCount * 100),2), 0) AS percentFeedback,
ifnull(ibf.bundle_feedback_supporting, 0) AS feedbackSupporting
FROM contacts AS c
LEFT JOIN
(SELECT c.contact_id,
count(cc.contact_campaign_id) AS sendCampaignsCount
FROM contacts AS c
LEFT JOIN contact_campaigns AS cc ON cc.contact_id = c.contact_id
WHERE c.company_id = '876'
AND c.contact_is_active = '1'
AND cc.contact_campaign_sent = '1'
GROUP BY c.contact_id) AS icc ON icc.contact_id = c.contact_id
LEFT JOIN
(SELECT bf.contact_id,
count(*) AS countfeedbacks,
bf.bundle_feedback_supporting
FROM bundle_feedback bf
JOIN bundles b
JOIN contacts c
LEFT JOIN tracks t ON bf.bundle_feedback_favorite_track_id = t.track_id
WHERE bf.bundle_id = b.bundle_id
AND bf.contact_id = c.contact_id
AND bf.company_id='876'
GROUP BY bf.contact_id) AS ibf ON ibf.contact_id = c.contact_id
WHERE c.company_id = '876'
AND contact_is_active = '1'
ORDER BY percentFeedback DESC LIMIT 0, 25;
I have done 2 improvements
1) Removed the contacts which is getting joined unnecessarily twice and put the condition at the final where condition.
2) Removed as per SQL_CALC_FOUND_ROWS
Which is fastest? SELECT SQL_CALC_FOUND_ROWS FROM `table`, or SELECT COUNT(*)
SELECT c.contact_id,
c.contact_first_name,
c.contact_last_name,
c.contact_email,
c.contact_date_added,
c.contact_company,
c.contact_twitter,
concat(c.contact_first_name," ", c.contact_last_name) AS fullname,
c.contact_subscribed,
ifnull(icc.sendCampaignsCount, 0) AS sendCampaignsCount,
ifnull(round((ibf.countfeedbacks/sendCampaignsCount * 100),2), 0) AS percentFeedback,
ifnull(ibf.bundle_feedback_supporting, 0) AS feedbackSupporting
FROM contacts AS c
LEFT JOIN
(SELECT cc.contact_id,
count(cc.contact_campaign_id) AS sendCampaignsCount
FROM contact_campaigns
WHERE cc.contact_campaign_sent = '1'
GROUP BY cc.contact_id) AS icc ON icc.contact_id = c.contact_id
LEFT JOIN
(SELECT bf.contact_id,
count(*) AS countfeedbacks,
bf.bundle_feedback_supporting
FROM bundle_feedback bf
JOIN bundles b
LEFT JOIN tracks t ON bf.bundle_feedback_favorite_track_id = t.track_id
WHERE bf.bundle_id = b.bundle_id
GROUP BY bf.contact_id) AS ibf ON ibf.contact_id = c.contact_id
WHERE c.company_id = '876' and c.contact_is_active = '1'
First, you are not identifying any indexes you have to optimize the query. That said, I would ensure you have at least the following composite / covering indexes.
table index
contacts ( company_id, contact_is_active )
contact_campaigns ( contact_id, contact_campaign_sent )
bundle_feedback ( contact_id, bundle_feedback_supporting )
Next, as noted in other answer, unless you really need how many rows qualified, remove the "SQL_CALC_FOUND_ROWS".
In your first left-join (icc), you do a left-join on contact_campaigns (cc), but then throw into your WHERE clause an "AND cc.contact_campaign_sent = '1'" which turns that into an INNER JOIN. At the outer query level, these would result in no matching record and thus NULL for your percentage calculations.
In your second left-join (ibf), you are doing a join to the tracks table, but not utilizing anything from it. Also, you are joining to the bundles table but not using anything from there either -- unless you are getting multiple rows in the bundles and tracks tables which would result in a Cartesian result and possibly overstate your "CountFeedbacks" value. You also do not need the contacts table as you are not doing anything else with it, and the feedback table has the contact ID basis your are querying for. Since that is only grouped by the contact_id, your "bf.bundle_feedback_supporting" is otherwise wasted. If you want counts of feedback, just count from that table per contact ID and remove the rest. (also, the joins should have the "ON" clauses instead of within the WHERE clause for consistency)
Also, for your supporting feedback, the data type and value are unclear, so I implied as a Yes or No and have a SUM() based on how many are supporting. So, a given contact may have 100 records but only 37 are supporting. This gives you 1 record for the contact having BOTH values 100 and 37 respectively and not lost in a group by based on the first entry found for the contact.
I would try to summarize your query to below:
SELECT
c.contact_id,
c.contact_first_name,
c.contact_last_name,
c.contact_email,
c.contact_date_added,
c.contact_company,
c.contact_twitter,
concat(c.contact_first_name," ", c.contact_last_name) AS fullname,
c.contact_subscribed,
ifnull(icc.sendCampaignsCount, 0) AS sendCampaignsCount,
ifnull(round((ibf.countfeedbacks / icc.sendCampaignsCount * 100),2), 0) AS percentFeedback,
ifnull(ibf.SupportCount, 0) AS feedbackSupporting
FROM
contacts AS c
LEFT JOIN
( SELECT
c.contact_id,
count(*) AS sendCampaignsCount
FROM
contacts AS c
JOIN contact_campaigns AS cc
ON c.contact_id = cc.contact_id
AND cc.contact_campaign_sent = '1'
WHERE
c.company_id = '876'
AND c.contact_is_active = '1'
GROUP BY
c.contact_id) AS icc
ON c.contact_id = icc.contact_id
LEFT JOIN
( SELECT
bf.contact_id,
count(*) AS countfeedbacks,
SUM( case when bf.bundle_feedback_supporting = 'Y'
then 1 else 0 end ) as SupportCount
FROM
contacts AS c
JOIN bundle_feedback bf
ON c.contact_id = bf.contact_id
WHERE
c.company_id = '876'
AND c.contact_is_active = '1'
GROUP BY
bf.contact_id) AS ibf
ON c.contact_id = ibf.contact_id
WHERE
c.company_id = '876'
AND c.contact_is_active = '1'
ORDER BY
percentFeedback DESC LIMIT 0, 25;
The following query is confusing to me. It does not show all rows in the products table if I do WHERE (inventory_to_pos.POSID IS NULL OR inventory_to_pos.POSID = ?) and bind a POSID that may or may not exist in inventory_to_pos. When LEFT JOIN-ing a table, should I not get all rows from the original table, when I only filter on the original table and use IS NULL on any conditions for LEFT JOIN'ed tables?
SELECT products.ID,products.NAME,products.VOLUME,productcombinations.PRODUCTID,productcombinations.PART,inventory_to_pos.FULLCOUNT
FROM products
LEFT JOIN productcombinations ON products.ID = productcombinations.PARTOF
LEFT JOIN inventory_to_pos ON products.ID = inventory_to_pos.PRODUCT
WHERE products.INVENTORY = 1
AND products.AVAILABLE = 1
AND products.ID > 0
AND (inventory_to_pos.POSID IS NULL OR inventory_to_pos.POSID = ?);
In the case where inventory_to_pos.PRODUCT and inventory_to_pos.POSID does not exist for the given product and POSID, I am given no rows. Why?
Move all related invetory_to_pos clauses into LEFT JOIN, i.e.:
SELECT
products.ID,
products. NAME,
products.VOLUME,
productcombinations.PRODUCTID,
productcombinations.PART,
inventory_to_pos.FULLCOUNT
FROM
products
LEFT JOIN productcombinations ON products.ID = productcombinations.PARTOF
LEFT JOIN inventory_to_pos ON products.ID = inventory_to_pos.PRODUCT AND (
inventory_to_pos.POSID IS NULL
OR inventory_to_pos.POSID = ?
)
WHERE
products.INVENTORY = 1
AND products.AVAILABLE = 1
AND products.ID > 0
This is my situation.
I have 3 tables
Orders
- id status deleted
Order Lines
- related_id related_model quantity
Products
- id code price price_purchase
I want to create a list with all products. The amount of times they are purchased and a sum of the gross margin (price - price_purchase). It must only use orders lines with the related model set to 'products'. And secondly it must only pick orders with the status set to 'paid, processing, sent, ready_for_pickup or picked_up' and with the order not deleted.
So this would be the result I want:
id | code | purchases | value
-------------------------------
1 | code1 | 7 | 57,05
2 | code2 | 122 | 254,98
3 | code3 | 0 | 0,00
This is the SQL query I have so far:
SELECT p.id, p.code, IFNULL(SUM(sol.quantity) , 0) as purcahses,
sum((p.price - p.price_purchase) * quantity) as value
FROM products p
LEFT JOIN shop_orders_lines sol ON sol.related_id = p.id
AND sol.related_model = 'products'
LEFT JOIN shop_orders so ON so.id = sol.order_id
WHERE so.status IN ('paid', 'processing', 'sent', 'ready_for_pickup', 'picked_up')
AND so.deleted = 0
GROUP BY p.id
It returns the correct data. But not all problems. That is my problem. I a lot of different methods like sub queries and other methods but can't seem to solve the problem. I know the problem is my LEFT join, but don't know a solution to my problem.
I'm using MySQL Workbench.
Any help is welcome.
Your joins are wrong. You need to identify the order lines to consider separately from and prior to forming the LEFT JOIN with the product details. An inline view could help:
SELECT
p.id,
p.code,
IFNULL(SUM(ordered_item.quantity) , 0) as purchases ,
sum((p.price - p.price_purchase) * ordered_item.quantity) as value
FROM
products p
LEFT JOIN (
SELECT
sol.related_id AS related_id,
sol.quantity AS quantity
FROM
shop_orders_lines sol
INNER JOIN shop_orders so
ON so.id = sol.order_id
WHERE
so.status IN ('paid', 'processing', 'sent', 'ready_for_pickup', 'picked_up')
AND so.deleted = 0
AND sol.related_model = 'products'
) ordered_item
ON ordered_item.related_id = p.id
GROUP BY p.id
Move outer table conditions from WHERE to ON, otherwise the OUTER JOIN works like a regular INNER JOIN:
SELECT p.id, p.code, IFNULL(SUM(sol.quantity) , 0) as purcahses,
sum((p.price - p.price_purchase) * quantity) as value
FROM products p
LEFT JOIN shop_orders_lines sol ON sol.related_id = p.id
AND sol.related_model = 'products'
LEFT JOIN shop_orders so ON so.id = sol.order_id AND
so.status IN ('paid', 'processing', 'sent', 'ready_for_pickup', 'picked_up')
AND so.deleted = 0
GROUP BY p.id
Is p.id the whole primary key for that table? If not, you need to find out how to treat p.code. (Either list in GROUP BY, or use as argument to aggregate function.)
Another try:
SELECT p.id, p.code, IFNULL(SUM(sol.quantity) , 0) as purcahses,
sum((p.price - p.price_purchase) * quantity) as value
FROM products p
JOIN shop_orders_lines sol ON sol.related_id = p.id
AND sol.related_model = 'products'
WHERE EXISTS (select 1 from shop_orders so
where so.id = sol.order_id
AND so.status IN ('paid', 'processing', 'sent', 'ready_for_pickup', 'picked_up')
AND so.deleted = 0)
GROUP BY p.id
I'm trying to accommodate a similar solution to this one - what I have is a SELECT query inside a JOIN, and the problem is that the query runs at full for all rows (I'm talking 60,000 rows per table - and it runs on 3 tables!).
So what I want to do, is add a WHERE clause to the SELECTs inside the JOIN.
But, I can't access the outer SELECT and get the proper WHERE condition I need.
The query I'm attempting is here:
SELECT c.compete_id AS id,
s.id AS store_id,
c.enabled AS enabled,
s.store_name AS store_name,
s.store_url AS store_url,
c.verified AS verified,
r.rating_total AS rating,
r.positive_percent AS percent,
r.type AS type
FROM compete_settings c
LEFT JOIN stores s
ON c.compete_id = s.id
LEFT JOIN (
(SELECT store_id, rating_total, positive_percent, 'ebay' AS type FROM ebay_sellers WHERE store_id = c.compete_id)
UNION
(SELECT store_id, rating_total, positive_percent, 'amazon' AS type FROM amazon_sellers WHERE store_id = c.compete_id)
UNION
(SELECT store_id, CASE WHEN rank = 0 THEN NULL ELSE (200000 - rank) END AS rating_total, '100' as positive_percent, 'alexa' AS type FROM alexa_ratings WHERE store_id = c.compete_id)
) AS r
ON c.compete_id = r.store_id
WHERE c.store_id = :store_id
Note, :store_id is a variable bound through the framework - let's imagine it's the number 12345.
How can I do this? Any ideas?
We ended up going witha different approach - we just JOINed everything and only selected the right columns with a CASE. Here's the final query:
SELECT c.id AS id,
s.id AS store_id,
c.enabled AS enabled,
s.store_name AS store_name,
s.store_url AS store_url,
c.verified AS verified,
(CASE WHEN eb.rating_total IS NOT NULL THEN eb.rating_total
WHEN am.rating_total IS NOT NULL THEN am.rating_total
WHEN ax.rank IS NOT NULL THEN ax.rank
END) AS rating,
(CASE WHEN eb.positive_percent IS NOT NULL THEN eb.positive_percent
WHEN am.positive_percent IS NOT NULL THEN am.positive_percent
WHEN ax.rank IS NOT NULL THEN '100'
END) AS percent,
(CASE WHEN eb.positive_percent IS NOT NULL THEN 'ebay'
WHEN am.positive_percent IS NOT NULL THEN 'amazon'
WHEN ax.rank IS NOT NULL THEN 'alexa'
END) AS type
FROM compete_settings c
LEFT JOIN stores s
ON c.compete_id = s.id
LEFT JOIN ebay_sellers eb ON c.compete_id = eb.store_id
LEFT JOIN amazon_sellers am ON c.compete_id = am.store_id
LEFT JOIN alexa_ratings ax ON c.compete_id = ax.store_id
WHERE c.store_id = :store_id
How do I put these two queries into a single query?
select count(id) as cnt from {$site_id}.proofingv2_packages where active='1'
select count(id) as cnt from {$site_id}.proofingv2_package_options where active='1' and parent={$row["id"]} order by sort
$row['id'] is the id field from the first query. I am trying to determine if there are any valid packages. A valid package must be active and have at least 1 active option. Running 2 queries for this doesn't seem right.
Can anyone help?
select count(id) as cnt from
{$site_id}.proofingv2_packages pp
INNER JOIN
{$site_id}.proofingv2_package_options
pt ON pp.active = pt.Active AND
pp.Active = 1
if the id is the PK or FK on the same on both tables use this query
select count(id) as cnt from
{$site_id}.proofingv2_packages pp
INNER JOIN {$site_id}.proofingv2_package_options pt ON pp.id= pt.id
AND pp.Active = 1
SELECT IF(count(*) > 0, 1, 0) AS isValid
FROM {$site_id}.proofingv2_packages pp
INNER JOIN {$site_id}.proofingv2_package_options ppo ON ppo.parent = pp.id
WHERE pp.active = '1'
AND ppo.active = '1'
This should return 1 if there are valid packages or 0 if not