I'm using HeidiSQl and trying to run a query where I get all the users from table 1 and then count all the matching users in table 2.
SELECT DISTINCT problem, title, username, createdate, expiredate
FROM solutionhistory as table1
INNER JOIN (SELECT COUNT(LOGIN_NAME) FROM ra_report_table) as table2
ON table1.username=table2.LOGIN_NAME
WHERE username != 'test'
LIMIT 10
I'm a bit stuck as to where I'm going wrong! I'm getting the error unknown column in on clause for table2.LOGIN_NAME.
The query works if I take the reference to COUNT(LOGIN_NAME) out - if someone could point me in the right direction that would be great!
Your query doesn't make sense on a lot of levels. I am guessing you intend something more like this:
SELECT problem, title, username, createdate, expiredate, table2.cnt
FROM solutionhistory as table1 INNER JOIN
(SELECT LOGIN_NAME, COUNT(LOGIN_NAME) as cnt
FROM ra_report_table
GROUP BY LOGIN_NAME
) as table2
ON table1.username = table2.LOGIN_NAME
WHERE username <> 'test'
LIMIT 10
Related
i have following sql in java project:
select distinct * from drivers inner join licenses on drivers.user_id=licenses.issuer_id
inner join users on drivers.user_id=users.id
where (licenses.state='ISSUED' or drivers.status='WAITING')
and users.is_deleted=false
And result i database looks like this:
And i would like to get only one result instead of two duplicated results.
How can i do that?
Solution 1 - That's Because one of data has duplicate value write distinct keyword with only column you want like this
Select distinct id, distinct creation_date, distinct modification_date from
YourTable
Solution 2 - apply distinct only on ID and once you get id you can get all data using in query
select * from yourtable where id in (select distinct id from drivers inner join
licenses
on drivers.user_id=licenses.issuer_id
inner join users on drivers.user_id=users.id
where (licenses.state='ISSUED' or drivers.status='WAITING')
and users.is_deleted=false )
Enum fields name on select, using COALESCE for fields which value is null.
usually you dont query distinct with * (all columns), because it means if one column has the same value but the rest isn't, it will be treated as a different rows. so you have to distinct only the column you want to, then get the data
I suspect that you want left joins like this:
select *
from users u left join
drivers d
on d.user_id = u.id and d.status = 'WAITING' left join
licenses l
on d.user_id = l.issuer_id and l.state = 'ISSUED'
where u.is_deleted = false and
(d.user_id is not null or l.issuer_id is not null);
I want to check that an amount of likes the users received in all their personal pictures is at least twice as large as the number of likes received in the group pictures in which they are tagged.
In case the user is not tagged in any group photo but is tagged in a personal picture that has received at least one like, it will be returned.
My Question is:
How can I make a comparison between 2 sum functions
Where one result of the sum is returned in the nested query and compared with the external query.
Can I set an auxiliary variable to enter the sum value in it and compare it?
Thanks for the helpers:)
Select distinct UIP.userID
From tblUserInPersonalPic UIP
where **sum(UIP.numOfLikes) over (Partition by UIP.userID)*0.5** >
(Select distinct U.userID, sum(P.numOfLikes) over (Partition by U.userID)
From tblgroupPictures P left outer join
tblUserInGroupPic U On P.picNum=U.picNum
group by U.userID,P.numOfLikes,P.picNum)
It's kinda hard to know for sure, and of course I can't test my answer,
but I think you can do it with a couple of left joins, group by and having:
SELECT Personal.UserId
FROM tblUserInPersonalPic Personal
LEFT JOIN tblUserInGroupPic UserInGroup ON Personal.userID = UserInGroup.UesrId
LEFT JOIM tblgroupPictures GroupPictures ON UserInGroup.picNum = GroupPictures.picNum
GROUP BY Personal.userID
HAVING SUM(GroupPictures.numOfLikes) * 2 < SUM(Personal.numOfLikes)
Please note: When posting sql questions it's always best to provide sample data as DDL + DML (Create table + insert into statements) and desired results, so that who ever answers you can test the answer before posting it.
Try using two ctes..pseudo code.Also note distinct in second query will not even work,since you are returning two columns,so i changed it it below,so that you can get that column as well
;with tbl1
as
(
select a,sum(col1) as summ
from
tbl1
)
,tbl2
as
(
select userid,sum(Anothersmcol) as sum2
from tbl2
)
select tbl1.columns,tbl2.columns
from
tbl1 t1
join
tbl2 t2
on t1.sumcol>t2.sumcol
You can't use window functions in a where clause. Define it in a subquery:
select *
from (
select sum(...) over (...) as Sum1
, OtherColumn
from YourTable
) sub
where Sum1 < (...your subquery...)
I have SQL code that throws up an error saying
Error: SQLCODE=-119, SQLSTATE=42803, SQLERRMC=WONUM
The code works fine until I add the group by:
select *
from workorder
left join labtrans on labtrans.refwo=workorder.wonum and labtrans.siteid=workorder.siteid
left join matusetrans on workorder.wonum=matusetrans.refwo and workorder.siteid=matusetrans.tositeid and linetype not in (select value from synonymdomain where domainid='LINETYPE' and maxvalue='TOOL')
left join locations on locations.location = workorder.location and locations.siteid=workorder.siteid
left join person on personid in (select personid from labor where laborcode = labtrans.laborcode)
left join po on workorder.wonum=po.hflwonum and workorder.siteid=po.siteid and workorder.orgid=po.orgid
left join companies on companies.company = po.vendor and companies.orgid=po.orgid
left join pluspcustomer on pluspcustomer.customer=workorder.pluspcustomer
where workorder.wonum='10192'
group by personid
;
if you only GROUP BY personid, you cannot select everything except personid, OR the fields used by aggregate functions such as SUM,MAX, etc
UPDATE
If you just want to see the duplicate personid, you could use:
select personid
from table
group by personid
But be careful here: If you write query like this, the only field that to determine the duplicate records is persionid, if you need to uniquely identify each persionid from different CompanyId, you need to group by persionid, CompanyId, otherwise, same personId from different company will be considered as the duplicate records.
But if you want to delete those duplicate records, you should use ROW_NUMBER()OVER (Partition by persionid Order by your_criteria) to delete the duplicate records. Try to do some searches to see how does that work, usually I prefer to use that function along with the CTE table expression.
if you just need to remove duplicates, use DISTINCT with your query like this:
your query:
SELECT * FROM .....
modify it:
SELECT DISTINCT * FROM .....
Hope it helps.
I have two sets of table with all the contacts on an Account their titles and etc. For data migration purposes I need to select All ContactsIds with their AccountID from Table A that do not exist in TableB. Its the combination of both the ContactId and the AccountID. I have tried the following:
Select * from Final_Combined_Result wfcr
WHERE NOT EXISTS (Select Contact_ID, Account_ID from Temp_WFCR)
I know this is completely off, but I have looked at a couple of other questions on here but was unable to find an appropriate solution.
I have also tried this:
Select * from Final_Combined_Result wfcr
WHERE NOT EXISTS
(Select Contact_ID, Account_ID from Temp_WFCR as tc
where tc.Account_ID=wfcr.Account_InternalID
AND tc.Account_ID=wfcr.Contact_InternalID)
This seems to be correct but I would like to make sure.
Select wfcr.ContactsId, wfcr.AccountID
from Final_Combined_Result wfcr
left join Temp_WFCR t_wfcr ON t_wfcr.ContactsIds = wfcr.ContactsId
AND t_wfcr.AccountID = wfcr.AccountID
WHERE t_wfcr.AccountID is null
See this great explanation of joins
#juergend's answer shows the left join.
Using a not exists you join in the subselect, it would look like this:
Select wfcr.*
from
Final_Combined_Result wfcr
WHERE NOT EXISTS
(Select 1 --select values dont matter here, only the join restricts.
from
Temp_WFCR t
where t.Contact_ID = wfcr.Contact_InternalID
and t.account_id = wfcr.Account_InternalID
)
I have found a few good resources that show I should be able to merge a select query with an update, but I just can't get my head around of the correct formatting.
I have a select statement that is getting info for me, and I want to pretty much use those results to Update an account table that matches the accountID in the select query.
Here is the select statement:
SELECT DISTINCT SUM(b.workers)*tt.mealTax as MealCost,b.townID,b.accountID
FROM buildings AS b
INNER JOIN town_tax AS tt ON tt.townID = b.townID
GROUP BY b.townID,b.accountID
So in short I want the above query to be merged with:
UPDATE accounts AS a
SET a.wealth = a.wealth - MealCost
Where MealCost is the result from the select query. I am sure there is a way to put this into one, I just haven't quite been able to connect the dots to get it to run consistently without separating into two queries.
First, you don't need the distinct when you have a group by.
Second, how do you intend to link the two results? The SELECT query is returning multiple rows per account (one for each town). Presumably, the accounts table has only one row. Let's say that you wanted the average MealCost for the update.
The select query to get this is:
SELECT accountID, avg(MealCost) as avg_Mealcost
FROM (SELECT SUM(b.workers)*tt.mealTax as MealCost, b.townID, b.accountID
FROM buildings AS b INNER JOIN
town_tax AS tt
ON tt.townID = b.townID
GROUP BY b.townID,b.accountID
) a
GROUP BY accountID
Now, to put this into an update, you can use syntax like the following:
UPDATE accounts
set accounts.wealth = accounts.wealth + asum.avg_mealcost
from (SELECT accountID, avg(MealCost) as avg_Mealcost
FROM (SELECT SUM(b.workers)*tt.mealTax as MealCost, b.townID, b.accountID
FROM buildings AS b INNER JOIN
town_tax AS tt
ON tt.townID = b.townID
GROUP BY b.townID,b.accountID
) a
GROUP BY accountID
) asum
where accounts.accountid = asum.accountid
This uses SQL Server syntax, which I believe is the same as for Oracle and most other databases. Mysql puts the "from" clause before the "set" and allows an alias on "update accounts".