I'm trying to build a query to give me some information doing an inner join on two tables, tableA and tableB. Here's what they look like:
TableA:
ClientID RevNo RevPurp
------------------------------
123 4557 1
124 4555 1
123 6574 2
123 7857 3
124 8987 2
TableB:
RevNo ClientID Active
------------------- -------------
4557 123 True
6574 123 True
7857 123 True
8987 124 True
4555 124 True
Here is what I'm trying to do. I'm trying to do...
Select Distinct ClientID
From TableB
Inner Join TableA On tableB.RevNo = tblB.RevNo
Where RevPurp is not 3.
RevPurp can be 1,2,3 - I'm only trying to select those distinct clients that can have either 1,2 but cannot have a 3.
Looking at the data in the table I should only have 1 record....
124
Because client 123 has RevPurp 3. So if a client has RevPurp 3, I do not want to see that client when I execute the query!
EDIT - I added a field in TableB called ACTIVE. I need to make sure Active = True when doing my query!
as #devlin mentioned in a comment, you do not need tableB to do this:
You want a list of unique (distinct) ClientIds in TableA where there is no record in tableA with a RevPurp value of 3.
EDIT: adding in the filter predicate on TableB.Active
Select distinct a.ClientId
from tableA a join tableb b
on b.RevNo = a.RevNo
Where b.Active = 1 -- <===== is Active a BIT field
and Not exists
(Select * from tableA
Where ClientId = a.ClientId
and RevPurp = 3)
You can try not in
Select Distinct ClientID
from TableB
inner join TableA on tableB.RevNo = tblB.RevNo
where tableA.ClientID not in (select ClienID from tableA where RevPurp = 3)
A simple group by with a having clause should work:
select clientId
from tableA
group by clientId
having count(*) = count(case when RevPurp <> 3 then 'X' end)
Related
I have a table structure like this and I am using Postgres
ContactPhoneRelation
id
ContactId
PhoneId
1
123
999
2
123
998
I have another table GroupTable
id
groupId
ContactId
PhoneId
1
1
123
999
2
2
123
999
3
2
123
998
I am trying to fetch the data from ContactPhoneRelation which does not exist in groupId 1 and ContactId is 123, So I want to query such that where groupId is 1 and ContactId is 123 and ContactId phoneId both does not exists in groupId 1
So in return, it should give me this result
id
contactId
PhoneId
2
123
998
If I query for groupId 2, It should give me 0 rows in return.
I tried this query but it gave me the opposite data.
select * from ContactPhoneRelation cp
left join GroupTable gt on gt.ContactId = cp.ContactId
where cp.contactId = '123' and gt.groupId = 1
In all honesty, I don't understand what you are trying to achive. But maybe this is because of language issues.
For better understanding I added an example on db<>fiddle: Link
Edit (29.09.2021; 16:49):
SELECT
c.*
FROM
(
SELECT
b.groupID
,a.ContactID
,a.PhoneID
FROM
(SELECT DISTINCT
ContactId
,PhoneID
FROM
ContactPhoneRelation
) a
FULL JOIN
(SELECT DISTINCT
groupID
FROM
GroupTable
) b ON (1=1)
ORDER BY groupID, ContactID, phoneID
) c
LEFT OUTER JOIN GroupTable d ON (
c.groupID = d.groupID
AND c.ContactID = d.ContactID
AND c.PhoneID = d.PhoneID
)
WHERE
d.groupID IS NULL
I have the following tables :
User_Group
id group_id group_type
------------------------
1 100 A
1 100 B
2 101 B
2 102 A
Group_A
id name
---------
100 A
101 B
102 C
Group_B
id name
---------
100 D
101 E
102 F
I want the group names of all users (using array.agg()). We have to get the group name from group A if the user's group type = A and from group B if the user's group type = B. The result should be :
userid groups
--------------
1 A,D
2 E,C
I have created a fiddle for this, and given a solution using union of 2 separate queries. Can it be done without the union, something in which I can decide on which table to pick the group name from with a single join of user_groups, group_A and group_B ?
select ug.id, array_agg(
case ug.group_type
when 'A' then g_a.name
when 'B' then g_b.name
else 'N/A'
end)
from user_groups ug
left outer join group_A g_a on ug.group_id = g_a.id
left outer join group_B g_b on ug.group_id = g_b.id
group by ug.id
SQL Fiddle Example
You can do this without union using left joins (I'd advise using explicit joins anyway since implicit joins are 20 years out of date Aaron Bertrand has written a good blog as to why). The Group_Type can become a join condition meaning the table is only joined when the right group type is found:
SELECT ug.ID, ARRAY_AGG(COALESCE(a.Name, b.Name))
FROM User_Groups ug
LEFT JOIN group_A a
ON a.ID = ug.group_ID
AND ug.Group_Type = 'A'
LEFT JOIN group_B b
ON b.ID = ug.group_ID
AND ug.Group_Type = 'B'
WHERE COALESCE(a.ID, b.ID) IS NOT NULL -- ENSURE AT LEAST ONE GROUP IS MATCHED
GROUP BY ug.ID;
However I would be inclined to use a UNION Still, but move it as follows:
SELECT ug.ID, ARRAY_AGG(Name)
FROM User_Groups ug
INNER JOIN
( SELECT 'A' AS GroupType, ID, Name
FROM Group_A
UNION ALL
SELECT 'B' AS GroupType, ID, Name
FROM Group_B
) G
ON g.GroupType = ug.Group_Type
AND g.ID = ug.Group_ID
GROUP BY ug.ID;
Your Fiddle with my queries added
I have a table like this
Table A:
Id Count
1 4
1 16
1 8
2 10
2 15
3 18
etc
Table B:
1 sample1.file
2 sample2.file
3 sample3.file
TABLE C:
Count fileNumber
16 1234
4 2345
15 3456
18 4567
and so on...
What I want is this
1 sample1.file 1234
2 sample2.file 3456
3 sample3.file 4567
To get the max value from table A I used
Select MAX (Count) from A where Id='1'
This works well but my problem is when combining data with another table.
When I join Table B and Table A, I need to get the MAX for all Ids and in my query I dont know what Id is.
This is my query
SELECT B.*,C.*
JOIN A on A.Id = B.ID
JOIN C on A.id = B.ID
WHERE (SELECT MAX(COUNT)
FROM A
WHERE Id = <what goes here????>)
To summarise, what I want is Values from Table B, FileNumber from Table c (where the count is Max for ID from table A).
UPDATE: COrrecting table C above. Looks like I need Table A.
I think this is the query you're looking for:
select b.*, c.filenumber from b
join (
select id, max(count) as count from a
group by id
) as NewA on b.id = NewA.id
join c on NewA.count = c.count
However, you should take into account that I don't get why for id=1 in tableA you choose the 16 to match against table C (which is the max) and for id=2 in tableA you choose the 10 to match against table C (which is the min). I assumed you meant the max in both cases.
Edit:
I see you've updated tableA data. The query results in this, given the previous data:
+----+---------------+------------+
| ID | FILENAME | FILENUMBER |
+----+---------------+------------+
| 1 | sample1.file | 1234 |
| 2 | sample2.file | 3456 |
| 3 | sample3.file | 4567 |
+----+---------------+------------+
Here is a working example
Using Mosty’s working example (renaming the keyword count to cnt for a column name), this is another approach:
with abc as (
select
a.id,
a.cnt,
rank() over (
partition by a.id
order by cnt desc
) as rk,
b.filename
from a join b on a.id = b.id
)
select
abc.id, abc.filename, c.filenumber
from abc join c
on c.cnt = abc.cnt
where rk = 1;
select
PreMax.ID,
B.FileName,
C2.FileNumber
from
( select C.id, max( C.count ) maxPerID
from TableC C
group by C.ID
order by C.ID ) PreMax
JOIN TableC C2
on PreMax.ID = C2.ID
AND PreMax.maxPerID = C2.Count
JOIN TableB B
on PreMax.ID = B.ID
I could really use some help with the following SQL Select statement scenario:
I need to select all rows from a table conditionally depending on whether a userID has already entered data into a second table with the same ID.
Example:
Select all rows from TABLE A for idNumber where idNumber not in
TABLE B
but for each idNumber that IS in TABLE B, still return row unless a
specific userID is in that row in TABLE B.
TABLE A
========
idNumber|type|Date
1 A 01/01/01
2 A 01/01/01
3 B 01/01/01
4 B 01/01/01
5 B 01/01/01
TABLE B
========
idNumber|type|userID
1 A 0000
3 B 0000
4 B 1111
userID to exclude records for = 1111
SQL Query should return:
idNumber|type|Date
1 A 01/01/01
2 A 01/01/01
3 B 01/01/01
5 B 01/01/01
Apologies for the long winded post but i hope it makes sense.
Many thanks in advance,
ukjezza.!!
Select idNumber, type, Date
From TableA
Where Not Exists (
Select 1
From TableB
Where TableB.idNumber = TableA.idNumber
And TableB.userID = 1111
)
Another choice:
Select TableA.idNumber, TableA.type, TableA.Date
From TableA
Left Join TableB
On TableB.idNumber = TableA.idNumber
And TableB.userId = 1111
Where TableB.idNumber Is Null
Looks like a LEFT JOIN and COALESCE could take care of it:
SELECT a.*
FROM TableA as a
LEFT JOIN TableB as b
ON a.idNumber = b.idNumber
WHERE COALESCE(b.userID, -1) != 1111
select A.*
from TableA as A
left outer join TableB as B
on A.idNumber = B.idNumber
where B.idNumber is null or
B.userID <> '1111'
Sorry for posting this question again. I rephrased my question a little bit.
I am trying to write a query to return rows from Table-A where multiple rows found in Table-B with STATUS = 1 for each CID column from Table-A.
So in this example CID 100 has two records found in Table-B and STATUS = 1. So I want to write a query to return this row from Table-A. I know this is a weird table design. Please help.
Here are the tables with sample data.
Table-A
-----------------------------------------
AID Name CID
---------------------------------------
10 test1 100
12 test1 100
13 test2 101
14 test2 101
15 test3 102
Table-B
------------------------------------
bID AID status
-----------------------------------
1 10 1
2 12 1
3 14 1
4 15 1
Try this query:
SELECT TableA.CID
FROM TableA
JOIN TableB ON TableA.AID = TableB.AID
WHERE TableB.status = 1
GROUP BY TableA.CID
HAVING COUNT(*) > 1
It returns 100 for your example data.
Something like this?
select aid,
status
from (select aid,
count(*) as cnt
from tableA
group by aid) as aggregated
left join tableB on tableB.aid = aggregated.aid
where aggregated.cnt > 1
If your using SQL:
WITH tableBView AS
(
SELECT AID AS xxxAID
FROM [Table-B]
WHERE status = 1
GROUP BY AID
HAVING COUNT(*) > 0
)
SELECT *
FROM [Table-A]
WHERE EXISTS (SELECT * FROM tableBView WHERE xxxAID = AID)
SELECT *
FROM Table-A a
WHERE a.CID IN
(
SELECT a.CID FROM Table-A a JOIN Table-B b USING (AID)
GROUP BY a.CID
WHERE b.status = 1
HAVING count(*) > 1
)
This is a very verbose way to do it.
Selects all columns from Table-A on rows where AID match between Table-A and Table-B and more than one row with the same CID exists in Table-A:
(Btw, I wouldn't use "-" in your table/column names. Use "_" instead.)
select
derived_table.AID,
derived_table.Name,
derived_table.CID
from
(select
table_A.AID,
table_A.Name,
table_A.CID,
count(table_A.CID) c
from
Table_A
inner join Table_B on (Table_A.AID = table_B.AID)
group by table_A.CID
) derived_table
where
c > 1