I am attempting to pass data from database to Google charts, however, Google charts has a specific way in which it excepts data. For this reason, I need to change the following output:
to this :
the query for the original output is:
SELECT (select COUNT(projects.funding)from projects where funding > 0)as Funding,
SUM(projects.mreq = 'yes') Mentor_Required,
SUM(projects.tmreq = 'yes') Team_Member_Required
FROM projects INNER JOIN users ON projects.members = users.email
WHERE users.company = 'vit'
The 2 tables are:
projects
users
Would love some guidance on putting pivot on the above query or any better method.
I think you can just do:
SELECT (CASE WHEN p.mreq = 'yes' THEN 'Mentor_Required'
WHEN p.tmreq = 'yes' THEN 'Team_Member_Required'
END) as Funding,
COUNT(*) as cnt
FROM projects p INNER JOIN
users u
ON p.members = u.email
WHERE u.company = 'vit'
GROUP BY Funding;
Related
I'm not good with sql so i need help exporting my customer's first names, email address, their country and if possible last times they had access to the store.
I managed to get email and first name by using this query :
SELECT firstname, lastname, email, active FROM psdb_customer
From what i understood, since the other data is stored in a different db table, i should use a join to get data from both tables but i haven't been able to figure out how
Any help is welcome
In the past, I helped someone with something similar in the PrestaShop forum. This query should work, just remember that to get a country of a customer they should have at least one address registered and of course I'm using the default db prefix:
SELECT a.`firstname`,
a.`lastname`,
a.`email`,
(SELECT c.`date_add`
FROM `ps_guest` g
LEFT JOIN `ps_connections` c ON c.`id_guest` = g.`id_guest`
WHERE g.`id_customer` = a.`id_customer`
ORDER BY c.`date_add` DESC LIMIT 1) AS `last_activity`,
(SELECT cl.`name`
FROM `ps_address` ad
LEFT JOIN `ps_country_lang` cl ON cl.`id_country` = ad.`id_country`
WHERE ad.`id_customer` = a.`id_customer`
ORDER BY ad.`id_address` DESC LIMIT 1) AS `country_name`
FROM `ps_customer` a
Rolige's answer is what i was looking for.
Here is another query that allows filtering the results by country (using the id_country)
SELECT SQL_CALC_FOUND_ROWS a.`id_address`,
a.firstname as firstname,
a.lastname as lastname,
cl.id_country as country, cl.`name` as country
FROM `ps_address` a
LEFT JOIN `ps_country_lang` cl ON (cl.`id_country` = a.`id_country`
AND cl.`id_lang` = 1)
LEFT JOIN `ps_customer` c ON a.id_customer = c.id_customer
WHERE 1 AND a.id_customer != 0
AND c.id_shop IN (1)
AND a.`deleted` = 0
AND cl.`id_country` = '8'
ORDER BY a.`id_address` ASC
I want to create a view which combines the data with the maximal date from the tables shown in the picture. These should be grouped by the profileID.
Database ERM
The profileIDs are linked to profile.userID.
I tried different approches in my code. The fort one slects the data where date is max, but the join doesn't work. Every profileID will be joined with the same data.
CREATE
ALGORITHM = UNDEFINED
DEFINER = `b91788dd8d05b5`#`%`
SQL SECURITY DEFINER
VIEW fitchallengersql1.profileview AS
Select p.userID,
(SELECT
`bf`.`bodyFat`
FROM
(`fitchallengersql1`.`bodyfatprofile` `bf`
JOIN `fitchallengersql1`.`profile` `p`)
WHERE
((`bf`.`profileID` = `p`.`userID`)
AND (`bf`.`date` = (SELECT
MAX(`fitchallengersql1`.`bodyfatprofile`.`date`)
FROM
`fitchallengersql1`.`bodyfatprofile`)))) AS `bodyFat`,
(SELECT
`bw`.`bodyweight`
FROM
(`fitchallengersql1`.`bodyweightprofile` `bw`
JOIN `fitchallengersql1`.`profile` `p`)
WHERE
((`bw`.`profileID` = `p`.`userID`)
AND (`bw`.`date` = (SELECT
MAX(`fitchallengersql1`.`bodyweightprofile`.`date`)
FROM
`fitchallengersql1`.`bodyweightprofile`)))) AS `bodyWeight`,
(SELECT
`bmi`.`bmi`
FROM
(`fitchallengersql1`.`bmiprofile` `bmi`
JOIN `fitchallengersql1`.`profile` `p`)
WHERE
((`bmi`.`profileID` = `p`.`userID`)
AND (`bmi`.`date` = (SELECT
MAX(`fitchallengersql1`.`bmiprofile`.`date`)
FROM
`fitchallengersql1`.`bmiprofile`)))) AS `bmi`
From profile
In the second one the join works how it should, but I can't figure out a way to select just the data where date is max.
CREATE
ALGORITHM = UNDEFINED
DEFINER = `b91788dd8d05b5`#`%`
SQL SECURITY DEFINER
VIEW `fitchallengersql1`.`profileview` AS
SELECT
`p`.`userID` AS `userID`,
`p`.`privacy` AS `privacy`,
`bs`.`size` AS `bodysize`,
`bw`.`bodyweight` AS `bodyweight`,
`bf`.`bodyFat` AS `bodyfat`,
`bmi`.`bmi` AS `bmi`
FROM
((((`fitchallengersql1`.`profile` `p`
JOIN `fitchallengersql1`.`bodysizeprofile` `bs`)
JOIN `fitchallengersql1`.`bodyweightprofile` `bw`)
JOIN `fitchallengersql1`.`bmiprofile` `bmi`)
JOIN `fitchallengersql1`.`bodyfatprofile` `bf`)
WHERE
((`p`.`userID` = `bs`.`profileID`)
AND (`p`.`userID` = `bw`.`profileID`)
AND (`p`.`userID` = `bmi`.`profileID`)
AND (`p`.`userID` = `bf`.`profileID`))
Hope someone could help me.
Thank you!
fleewe
Hope following query gives what you need. Please follow the pattern and join the rest of the tables. Please note that when the table grows these will definitely have performance issues as this require huge processing.
-- Select the columns that you need
select p.*, lbp.*
from profile p
inner join (
-- get the latest bmiprofile per user profile
select bp1.*
from bmiprofile bp1
inner join (select profileID, max(date) as date from bmiprofile group by profileID) as bp2 on bp1.prfileId = bp2.profileId and bp1.date = bp2.date
) as lbp on lbp.ProfileId = p.userId
-- Join the other tables in similar way
this is only a comment, but I needed formating capability:
Don't place the joining predicates into the where clause if using ANSI join syntax, instead use ON followed by the relevant predicates. e.g.
FROM `fitchallengersql1`.`profile` `p`
JOIN `fitchallengersql1`.`bodysizeprofile` `bs` ON `p`.`userID` = `bs`.`profileID`
JOIN `fitchallengersql1`.`bodyweightprofile` `bw` ON `p`.`userID` = `bw`.`profileID`
JOIN `fitchallengersql1`.`bmiprofile` `bmi` ON `p`.`userID` = `bmi`.`profileID`
JOIN `fitchallengersql1`.`bodyfatprofile` `bf` ON `p`.`userID` = `bf`.`profileID`
I've got a query I'm trying to write to get counts of active users and active contacts associated with each account. I have attempted to run the counts separately and in both cases they run at under 1 sec but when I put them together as seen below I don't get a result. Please let me know if there is anything I can do it enhance the query.
select count(c.c_no) as contacts_count, count(u_no) as user_count, a.*
from accounts a
LEFT JOIN users u on u.a_no = a.a_no and u_status = 1
LEFT JOIN IDP1.contacts c on c.a_no = a.a_no and c_status = 1
where a_status = 1
group by a_no
THANK YOU!
Do not use * and aggregate functions simultaneously
Try this
select count(c.c_no) as contacts_count, count(u_no) as user_count, a_no
from accounts a
LEFT JOIN users u on u.a_no = a.a_no and u_status = 1
LEFT JOIN IDP1.contacts c on c.a_no = a.a_no and c_status = 1
where a_status = 1
group by a_no
Doing a bit of investigation and writing a query against a logs db.
I've joined a number of tables to bring back the data that I need, but i'd like to clean it up a bit.
The query returns all the users and which features they have enabled on their account.
Here is what i'm trying to do to clean it up:
Their is a column called 'actions' which has two states, 'added' and 'removed'
If a user feature has an action of 'removed' then I want to not show any of the rows for the same feature for that user which are also marked as 'added'
Is this possible?!
Here is what I have so far:
select users.id as site_id, users.company_name, feature_log.featurecode, feature.minimum_account as feature_type, users.account_type as site_type, account_types.name as account, feature_log.action, feature_log.time
from users
inner join
feature_log
on users.id = feature_log.siteid
inner join
feature
on feature_log.featurecode = feature.featurecode
inner join account_types
on users.account_type_INC = account_types.id
where feature.minimum_account != 0
AND feature.minimum_account > users.account_type
AND users.status = 'Y'
ORDER BY feature_log.time DESC
Thanks for any support!
So, in order to "mute" all the features, that have been "removed" at any point in time for a given user, you can add a (left) join on the following subquery:
SELECT DISTINCT users.id as siteid, feature_log.featurecode, TRUE as mute_feature
FROM users
INNER JOIN feature_log ON (users.id = feature_log.siteid)
WHERE action = 'removed'
This will be the list of features that a given user disabled at some point in time. Then in your query's WHERE clause, you'd add a filter like so:
AND NOT IFNULL(mute_feature, FALSE)
Essentially, that'd bring your whole query to be:
select users.id as site_id, users.company_name, feature_log.featurecode, feature.minimum_account as feature_type, users.account_type as site_type, account_types.name as account, feature_log.action, feature_log.time
from users
inner join
feature_log
on users.id = feature_log.siteid
left join (
SELECT DISTINCT users.id as siteid, feature_log.featurecode, TRUE as mute_feature
FROM users
INNER JOIN feature_log ON (users.id = feature_log.siteid)
WHERE action = 'removed'
) as muted_features ON (feature_log.siteid = muted_features.siteid AND feature_log.featurecode = muted_features.featurecode)
inner join
feature
on feature_log.featurecode = feature.featurecode
inner join account_types
on users.account_type_INC = account_types.id
where feature.minimum_account != 0
AND feature.minimum_account > users.account_type
AND users.status = 'Y'
AND NOT IFNULL(mute_feature, FALSE)
ORDER BY feature_log.time DESC
I have the following query to retrieve customers who answer YES to a particular question "OR" NO to another question.
SELECT customers.id
FROM customers, responses
WHERE (
(
responses.question_id = 5
AND responses.value_enum = 'YES'
)
OR (
responses.question_id = 9
AND responses.value_enum = 'NO'
)
)
GROUP BY customers.id
Which works fine. However I wish to change the query to retrieve customers who answer YES to a particular question "AND" answer NO to another question.
Any ideas on how I can achieve this?
PS - The responses above table is in an EAV format ie. a row represents an attribute rather than a column.
I'm assuming that you have a column called customer_id in your responses table. Try joining the responses table to itself:
SELECT Q5.customer_id
FROM responses Q5
JOIN responses Q9 ON Q5.customer_id = Q9.customer_id AND Q9.question_id = 9
WHERE Q5.question_id = 5
AND Q5.value_enum = 'YES'
AND Q9.value_enum = 'NO'
Approximately as such:
SELECT distinct
c.id
FROM
customers c
WHERE
exists (select 1 from responses r where r.customer_id = c.id and r.response_id = 5 and r.value_enum = 'YES')
and exists (select 1 from responses r2 where r2.customer_id = c.id and r2.response_id = 9 and r2.value_enum = 'NO')
I made an assumption on the missing join condition, modify as correct for your schema.