Writing MSSQL (2019) query equivalent to MySQL query - mysql

I have written the following MySQL query in my project to select all tests table record with matching test_change table record (whichever is the first) for a data display purpose.
I am in need of the MSSQL equivalent query but am unable to form the query because of my limited knowledge in it. I tried the website http://www.sqlines.com/online but I did not help me.
This is the MySQL Query:
SELECT
tests.*,
cases.title,
users.name,
statuses.label as status_label,
statuses.color_dark,
tc.id as change_id,
tc.created_on
FROM
tests
left join (
select
MIN(created_on) as created_on,
test_id,
id,
assignedto_id
from
test_changes
group by
test_id
) tc on tests.id = tc.test_id
LEFT JOIN users ON tc.assignedto_id = users.id
LEFT JOIN cases ON tests.case_id = cases.id
LEFT JOIN statuses ON tests.status_id = statuses.id
WHERE
tests.id is not null
AND tests.run_id IN (22)
AND (
tests.status_id = 3
or tests.status_id = 4
or (
tests.status_id != 3
and tc.created_on > 1620950399
)
)
GROUP BY
tests.id
ORDER BY
users.name DESC
LIMIT
15, 20
This is the MSSQL Query I tried...
SELECT
tests.*,
cases.title,
users.name,
statuses.label as status_label,
statuses.color_dark,
tc.id as change_id,
tc.created_on
FROM
tests
left join (
select
MIN(created_on) as created_on,
status_id,
test_id,
id,
assignedto_id
from
test_changes
group by
test_id
) tc on tests.id = tc.test_id
LEFT JOIN users ON tc.assignedto_id = users.id
LEFT JOIN cases ON tests.case_id = cases.id
LEFT JOIN statuses ON tests.status_id = statuses.id
WHERE
tests.id is not null
AND tests.run_id IN (22)
AND (
tests.status_id = 3
or tests.status_id = 4
or (
tests.status_id != 3
and tc.created_on > 1620950399
)
)
GROUP BY
tests.id
ORDER BY
users.name DESC OFFSET 15 ROWS FETCH NEXT 20 ROWS ONLY
It is throwing the following error...
Column 'test_changes.status_id' is invalid in the select list because
it is not contained in either an aggregate function or the GROUP BY
clause.
Can someone help me in resolving the error and forming this MSSQL query?

even your first query in mysql gives you the same error , you can't select columns that are not aggregated or part of group by , when you group by.
so seems like you nmeed to group by assignedto_id and test_id as well:
select
MIN(created_on) as created_on,
status_id,
test_id,
--id, <-- removed this column , looks not used in query
assignedto_id
from
test_changes
group by
test_id, status_id,assignedto_id -- < adding new columns to group by
) tc on ....
it might not be what you are looking for , but gives you the idea how it works

Related

Mysql count result in "where" clause

I'm facing a little problem with mysql where clause.
This is the query:
SELECT u.id user
, p.id product_purchased
, p.name product_name
, pl.store_id store
, COUNT(*) occurrences
, total_spent
, total_product_purchased
, pl.registration
FROM purchases_log pl
JOIN user u
ON pl.user_id = u.id
JOIN product p
ON pl.product_id = p.id
JOIN
( SELECT user_id
, SUM(price) total_spent
, COUNT(product_id) total_product_purchased
FROM purchases_log pl
GROUP
BY user_id
) t1
ON u.id = t1.user_id
WHERE pl.store_id IN (1,2,3)
AND occurrences > 1
GROUP
BY user
, product_name
ORDER
BY u.id ASC
, pl.registration ASC;
This is the output error:
Error Code: 1054. Unknown column 'occurrences' in 'where clause' 0.067 sec
I have already tried assign AS to occurrences or using pl.
So, can someone explain me how to correctly define the result of a count function in where clause?
You need to use HAVING instead of COUNT as group by is applied after WHERE clause and hence, it won't know about any group/aggregate columns, e.g/:
SELECT u.id user,p.id product_purchased, p.name product_name, pl.store_id store, COUNT(*) AS occurrences, total_spent, total_product_purchased, pl.registration
FROM purchases_log pl
JOIN user u ON pl.user_id=u.id
JOIN product p ON pl.product_id=p.id
JOIN (SELECT user_id, SUM(price) AS total_spent,COUNT(product_id) AS total_product_purchased FROM purchases_log pl GROUP BY user_id) t1 ON u.id=t1.user_id
WHERE pl.store_id IN (1,2,3)
GROUP BY user, product_name
HAVING COUNT(*) > 1
ORDER BY u.id ASC, pl.registration ASC;
Update
If a user has more than one product associated then it's good to add all the non aggregate columns in GROUP BY to get all the combinations of user and product. The current query will not return all the combinations.
For further optimization, as #strawberry has suggest, you can run EXPLAIN and see which indices are used and whether there is any need to create any new index.

MySQL, how can I select conversations from a list of messages

I have this code:
SELECT a.id, a.to_id, a.from_id, a.seen, a.date, a.message
FROM `Chat_messages` a
INNER JOIN (
SELECT MAX( `id` ) AS id
FROM `Chat_messages` AS `alt`
WHERE `alt`.`to_id` =7
OR `alt`.`from_id` =7
GROUP BY `to_id` , `from_id`
)b ON a.id = b.id
returning:
So, I want to get conversations (sent and received messages) of an user and latest message of it.
Latest message works ok, but the problem is that I get 2 rows from messages received (#1 and #2) and 2 rows from messages sent (#3 and #4), but I only need 2 results, because there are 2 conversations.
The best way to pick out the row that holds the latest sent message and the row that holds the latest received message respectively, is using the row_number() window function. Unfortunately, MySql does not support window functions, so I think it's best to use two nested SELECT's:
SELECT z.id, max(z.to_id), max(z.from_id), max(z.seen), max(z.date), max(z.message)
FROM chat_messages z
LEFT JOIN
(SELECT x.from_id, max(date) date
FROM chat_messages x
GROUP BY x.from_id) f
ON z.from_id = f.from_id AND z.date = f.date
LEFT JOIN
(SELECT y.to_id, max(date) date
FROM chat_messages y
GROUP BY y.to_id) t
ON z.to_id = t.to_id AND z.date = t.date
GROUP BY z.id
I do not recommend using max on ID's if you care about correctness in the long run.
You can group by least(to_id, from_id), greatest(to_id, from_id) to make sure conversions between 2 people are merged:
SELECT a.id, a.to_id, a.from_id, a.seen, a.date, a.message
FROM `Chat_messages` a
INNER JOIN (
SELECT MAX( `id` ) AS id
FROM `Chat_messages` AS `alt`
WHERE `alt`.`to_id` =7
OR `alt`.`from_id` =7
GROUP BY least(`to_id` , `from_id`), greatest(`to_id` , `from_id`)
)b ON a.id = b.id

MySQL SELECT subquery

I have a calendar and user_result table and I need to join these two queries.
calendar query
SELECT `week`, `date`, `time`, COUNT(*) as count
FROM `calendar`
WHERE `week` = 1
GROUP BY `date`
ORDER BY `date` DESC
and the result is
{"week":"1","date":"2014-08-21","time":"15:30:00","count":"4"}, {"week":"1","date":"2014-08-20","time":"17:30:00","count":"12"}
user_result query
SELECT `date`, SUM(`point`) as score
FROM `user_result`
WHERE `user_id` = 1
AND `date` = '2014-08-20'
and the result is just score 3
My goal is to always show calendar even if the user isn't present in the user_result table, but if he is, SUM his points for that day where calendar.date = user_result.date. Result should be:
{"week":"1","date":"2014-08-21","time":"15:30:00","count":"4","score":"3"}, {"week":"1","date":"2014-08-20","time":"17:30:00","count":"12","score":"0"}
I have tried this query below, but the result is just one row and unexpected count
SELECT c.`week`, c.`date`, c.`time`, COUNT(*) as count, SUM(p.`point`) as score
FROM `calendar` c
INNER JOIN `user_result` p ON c.`date` = p.`date`
WHERE c.`week` = 1
AND p.`user_id` = 1
GROUP BY c.`date`
ORDER BY c.`date` DESC
{"week":"1","date":"2014-08-20","time":"17:30:00","count":"4","score":"9"}
SQL Fiddle
ow sorry, i was edited, and i was try at your sqlfiddle, if you want to show all date from calendar you can use LEFT JOIN, but if you want to show just the same date between calendar and result you can use INNER JOIN, note: in this case INNER JOIN just show 1 result, and LEFT JOIN show 2 results
SELECT c.`week`, p.user_id, c.`date`, c.`time`, COUNT(*) as count, p.score
FROM `calendar` c
LEFT JOIN
(
SELECT `date`, SUM(`point`) score, user_id
FROM `result`
group by `date`
) p ON c.`date` = p.`date`
WHERE c.`week` = 1
GROUP BY c.`date`
ORDER BY c.`date` DESC
I put a pre-aggreate query / group by date as a select for the one person you were interested in... then did a left-join to it. Also, your column names of week, date and time (IMO) are poor choice column names as they can appear to be too close to reserved keywords in MySQL. They are not, but could be confusing..
SELECT
c.week,
c.date,
c.time,
coalesce( OnePerson.PointEntries, 0 ) as count,
coalesce( OnePerson.totPoints, 0 ) as score
FROM
calendar c
LEFT JOIN ( select
r.week,
r.date,
COUNT(*) as PointEntries,
SUM( r.point ) as totPoints
from
result r
where
r.week = 1
AND r.user_id = 1
group by
r.week,
r.date ) OnePerson
ON c.week = OnePerson.week
AND c.date = OnePerson.date
WHERE
c.week = 1
GROUP BY
c.date
ORDER BY
c.date DESC
Posted code to SQLFiddle

My Odd SubSelect, Need a LEFT JOIN Improvement

Here is a sample SQL dump: https://gist.github.com/JREAM/99287d033320b2978728
I have a SELECT that grabs a bundle of users.
I then do a foreach loop to attach all the associated tree_processes to that user.
So I end up doing X Queries: users * tree.
Wouldn't it be much more efficient to fetch the two together?
I've thought about doing a LEFT JOIN Subselect, but I'm having a hard time getting it correct.
Below I've done a query to select the correct data in the SELECT, however I would have to do this for all 15 rows and it seems like a TERRIBLE waste of memory.
This is my dirty Ateempt:
-
SELECT
s.id,
s.firstname,
s.lastname,
s.email,
(
SELECT tp.id FROM tree_processes AS tp
JOIN tree AS t ON (
t.id = tp.tree_id
)
WHERE subscribers_id = s.id
ORDER BY tp.id DESC
LIMIT 1
) AS newest_tree_id,
#
# Don't want to have to do this below for every row
(
SELECT t.type FROM tree_processes AS tp
JOIN tree AS t ON (
t.id = tp.tree_id
)
WHERE subscribers_id = s.id
ORDER BY tp.id DESC
LIMIT 1
) AS tree_type
FROM subscribers AS s
INNER JOIN scenario_subscriptions AS ss ON (
ss.subscribers_id = s.id
)
WHERE ss.scenarios_id = 1
AND ss.completed != 1
AND ss.purchased_exit != 1
AND deleted != 1
GROUP BY s.id
LIMIT 0, 100
This is my LEFT JOIN attempt, but I am having trouble getting the SELECT values
SELECT
s.id,
s.firstname,
s.lastname,
s.email,
freshness.id,
# freshness.subscribers_id < -- Cant get multiples out of the LEFT join
FROM subscribers AS s
INNER JOIN scenario_subscriptions AS ss ON (
ss.subscribers_id = s.id
)
LEFT JOIN ( SELECT tp.id, tp.subscribers_id AS tp FROM tree_processes AS tp
JOIN tree AS t ON (
t.id = tp.tree_id
)
ORDER BY tp.id DESC
LIMIT 1 ) AS freshness
ON (
s.id = subscribers_id
)
WHERE ss.scenarios_id = 1
AND ss.completed != 1
AND ss.purchased_exit != 1
AND deleted != 1
GROUP BY s.id
LIMIT 0, 100
In the LEFT JOIN you are using 'freshness' as the table alias. This in you select you need to additionally state what column(s) you want from it. Since there is only one column (id) you need to add:
freshness.id
to the select clause.
Your ON clause of the left join looks pretty dodgy too. Maybe freshness.id = ss.subscribers_id?
Cheers -

SQL Query with Joins Counting multiple Results Per Record Ordering By Count

I have a table called Request.
Other tables are linked to the Request table through a request id.
There is a TwitterTweet table and a FacebookPost table.
So a single request can have 50 TwitterTweets and/or 20 FacebookPosts or any amount of Tweets/Posts
We can add them together for a total count of 70.
I'm trying to create a query that could tell me what is the request with the highest total count.
I know this is wrong:
(I attempted to just order them by the counts within the TwitterTweet, but it would not let me do an OUTER JOIN which I thought
would bring back the Count.count column. It forced me to do a Left Join for it to compile. My Logic was to do a join so
that the results were calculated for each row by the requestid)
SELECT r1.`id` AS requestid, r1 . *
FROM `Request` AS r1
LEFT JOIN
(SELECT COUNT( * ) AS count, rid
FROM
((SELECT `TwitterTweet`.`id` AS `smid` , `TwitterTweet`.`requestid` AS rid
FROM `TwitterTweet`
WHERE `TwitterTweet`.`requestid` = requestid
AND `TwitterTweet`.`active` =1) AS talias
)) AS Count ON ( Count.rid = requestid )
ORDER BY Count.count
*When I tried to add in the Facebook side it would not compile any more
(The concept is that the results are added from TwitterTweet with the results from FacebookPost
that are attached to the specific requestid which would give us a count. The entire result
set should be ordered by that count)
SELECT r1.`id` AS requestid, r1 . *
FROM `Request` AS r1
LEFT JOIN
(SELECT COUNT( * ) AS count, rid
FROM
((SELECT `TwitterTweet`.`id` AS `smid` , `TwitterTweet`.`requestid` AS rid
FROM `TwitterTweet`
WHERE `TwitterTweet`.`requestid` = requestid
AND `TwitterTweet`.`active` =1 ) AS talias
UNION All
(SELECT `FacebookPost`.`id` AS `smid`, `FacebookPost`.`requestid` AS rid
FROM `FacebookPost`
WHERE `FacebookPost`.`requestid` = requestid
AND `FacebookPost`.`active` = 1) as falias
)) AS Count ON ( Count.rid = requestid )
ORDER BY Count.count
I updated the Query with an attempt to add an alias:
SELECT rid, SUM(count) total_count
FROM
(
(SELECT COUNT(*) AS count, r.rid
FROM request r
JOIN TwitterTweet tt
ON r.id = tt.requestid
WHERE tt.active = 1
GROUP BY r.rid) AS twitter
UNION ALL
(SELECT COUNT(*) AS count, r.rid
FROM request r
JOIN FacebookPost fp
ON r.id = fp.requestid
WHERE fp.active = 1
GROUP BY r.rid ) AS fbook
)
GROUP BY rid
ORDER BY SUM(count) DESC
I made another adjustment to give the middle subquery an alias, but now I only get one row returned with a zero in the rid column and 5686 in the total_count column...the 5686 might be all of the results.
SELECT counts.rid, SUM(count) total_count
FROM
(
SELECT COUNT(*) AS count, r.requestid AS rid
FROM request r
JOIN TwitterTweet tt
ON r.id = tt.requestid
WHERE tt.active = 1
GROUP BY r.requestid
UNION ALL
SELECT COUNT(*) AS count, r.requestid AS rid
FROM request r
JOIN FacebookPost fp
ON r.id = fp.requestid
WHERE fp.active = 1
GROUP BY r.requestid
) AS counts
GROUP BY counts.rid
ORDER BY SUM(count) DESC
Got it!!!
Thanks for your help guys, I had to remove those joins on the request:
SELECT counts.rid, SUM(count) total_count
FROM
(
SELECT COUNT(*) AS count, tt.requestid AS rid
FROM TwitterTweet tt
WHERE tt.active = 1
GROUP BY tt.requestid
UNION ALL
SELECT COUNT(*) AS count, fp.requestid AS rid
FROM FacebookPost fp
WHERE fp.active = 1
GROUP BY fp.requestid
) AS counts
GROUP BY counts.rid
ORDER BY SUM(count) DESC
SELECT id, SUM(count) total_count
FROM
(
SELECT COUNT(*) AS count, r.id
FROM request r
JOIN TwitterTweet tt
ON r.id = tt.requestid
WHERE tt.active = 1
GROUP BY r.id
UNION ALL
SELECT COUNT(*) AS count, r.id
FROM request r
JOIN FacebookPost fp
ON r.id = fp.requestid
WHERE fp.active = 1
GROUP BY r.id
) sub
GROUP BY id
ORDER BY SUM(count) DESC
;