i have this table
MEN
id | Qty | Place
========================
111 | 10 | 55
111 | 20 | 66
111 | 10 | 77
222 | 40 | 11
333 | 50 | 11
111 | 10 | 22
222 | 44 | 33
222 | 40 | 44
333 | 15 | 55
i need to show all the records that id=id and Qty=Qty like this:
id | Qty | Place
=====================
111 | 10 | 55
111 | 10 | 77
111 | 10 | 22
222 | 40 | 11
222 | 40 | 44
You can do something like this:
SELECT MEN.Id, MEN.Qty, MEN.Place
FROM MEN INNER JOIN
(SELECT MEN.Id, MEN.Qty
FROM MEN
GROUP BY MEN.Id, MEN.Qty
HAVING (((Count(*))>1))) AS a
ON (MEN.Qty = a.Qty) AND (MEN.Id = a.Id)
ORDER BY MEN.Id, MEN.Qty;
Create the inner query to find where there are more than one instances of the Id then join it back to the original table to get the Place values.
Try this
SELECT T.ID,T.Qty
FROM Table1 T
GROUP BY T.ID,T.Qty
HAVING (((Count(*))>1));
Use Below query to get full set of record details:
SELECT R.Id, R.Qty, R.Place
FROM Table1 R INNER JOIN
(
SELECT T.Id, T.Qty
FROM Table1 T
GROUP BY T.Id, T.Qty
HAVING (((Count(*))>1))
)AS JR ON R.Qty = JR.Qty AND R.Id = JR.Id
Related
I have a table which follows the state of the item delivery:
ID | ContractID | State
----------------------------------
1 | 125 | Created
2 | 125 | Activated
3 | 125 | PickupStarted
4 | 125 | PickedUp
5 | 125 | DeliveryStarted
6 | 125 | Delivered
7 | 126 | Created
8 | 126 | Activated
9 | 126 | PickupStarted
10 | 126 | PickedUp
11 | 126 | DeliveryStarted
12 | 126 | Delivered
13 | 127 | Created
14 | 127 | Activated
15 | 127 | PickupStarted
16 | 127 | PickedUp
I would like to create SQL query which counts only those 'ContractIds' which are not delivered yet (only those whose current status has reached 'PickedUp' status). In this case that would be 'ContractId' 127.
Is there a way to do that type of COUNT()?
You can use not exists:
select count(distinct contractId)
from t
where not exists (select 1
from t t2
where t2.contractId = t.contractid and
t2.status not like 'Deliver%'
);
Or, if you specifically want to get PickedUp as the last status:
select count(*)
from t
where t.id = (select max(t2.id) from t t2 2here t2.contractid = t.contractid) and
t.status = 'PickedUp';
The two are different. The second is specifically that the last status is PickedUp. The first is anyone that has not reached a "deliver" status.
If I have a table like below, how can I count and sum all distinct values?
student_name | section | score | class
-------------|---------|-------|-------
John | B | 32 | 8
Doe | B | 43 | 8
Jane | A | 33 | 8
Smith | A | 88 | 8
Pat | B | 99 | 9
The output I desire is following for each class. So for class 8 it would be:
section | num_records | score_total
---------|--------------|-------------
B | 2 | 75
A | 2 | 121
Total | 4 | 196
You could use GROUPING SETS:
SELECT COALESCE(section, 'Total') AS section,
COUNT(*) AS num_records,
SUM(score) AS score_total
FROM t
WHERE class = 8
GROUP BY GROUPING SETS (section, ())
ORDER BY section;
db<>fiddle demo
you could use union all and subquery
select section,count(*),sum(score)
from t
where class =8
group by section
union all
select 'Total',count(*),sum(score) from t
where class=8
demo
output
section count sum
A 2 121
B 2 75
Total 4 196
I have following 3 tables and last entered reasoncode from Reasons table against each claimno in claims table.
Reasons:
Rid |chargeid| enterydate user reasoncode
-----|--------|-------------|--------|----------
1 | 210 | 04/03/2018 | john | 99
2 | 212 | 05/03/2018 | juliet | 24
5 | 212 | 26/12/2018 | umar | 55
3 | 212 | 07/03/2018 | borat | 30
4 | 211 | 03/03/2018 | Juliet | 20
6 | 213 | 03/03/2018 | borat | 50
7 | 213 | 24/12/2018 | umer | 60
8 | 214 | 01/01/2019 | john | 70
Charges:
chargeid |claim# | amount
---------|-------|---------
210 | 1 | 10
211 | 1 | 24.2
212 | 2 | 5.45
213 | 2 | 76.30
214 | 1 | 2.10
Claims:
claimno | Code | Code
--------|-------|------
1 | AH22 | AH22
2 | BB32 | BB32
Expected result would be like this:
claimno | enterydate | user | reasoncode
--------|-------------|--------|-----------
1 | 01/01/2019 | john | 70
2 | 26/12/2018 | umer | 55
I have applied many solutions but no luck. Following is the latest solution I was trying using SQL Server 2008 but still got incorrect result.
With x As
(
select r.chargeid,r.enterydate,ch.claimno from charges ch
join (select chargeid,max(enterydate) enterydate,user from Reasons group by chargeid) r on r.chargeid = ch.chargeid
)
select x.*,r1.user, r1.reasoncode from x
left outer join Reasons r1 on r1.chargeid = x.chargeid and r1.enterydate = x.enterydate
--group by x.claimno
Is this what you want?
select claimno, enterydate, user, reasoncode
from (select c.claimno, r.*,
row_number() over (partition by c.claimno order by r.entrydate desc) as seqnum
from charges c join
reasons r
on c.chargeid = r.chargeid
) cr
where seqnum = 1;
You can try using row_number()
select * from
(
select r.chargeid,r.enterydate,ch.claimno,user,reasoncode,
row_number() over(partition by ch.claimno order by r1.enterydate desc) as rn
from charges ch left outer join Reasons r1 on r1.chargeid = ch.chargeid
)A where rn=1
I have 2 tables shown below:
Table 1
Student ID - DATE_NO - SCORE
Table 2
STUDENT_ID - DATE_NO - HT - WT
Table 1 has the physical test scores and the date of the test for each student while Table 2 lists their height (HT) and weight (WT) and the date they were measured.
Example Data:
Table 1
Student ID | DATE_NO | SCORE |
125 | 3 | 90 |
572 | 6 | 75 |
687 | 11 | 95 |
Table 2
Student_ID | DATE_NO | HT | WT |
125 | 2 | 70 | 150 |
125 | 3 | 72 | 155 |
125 | 6 | 72 | 160 |
572 | 2 | 70 | 200 |
572 | 5 | 70 | 225 |
572 | 8 | 70 | 215 |
572 | 9 | 70 | 220 |
687 | 4 | 65 | 140 |
687 | 7 | 67 | 150 |
687 | 11 | 70 | 155 |
687 | 12 | 67 | 160 |
I am not guaranteed to have the exact same DATE_NO for both HT/WT and the Test score date. I want the most recent HT and WT for each student when they took their physical test. Based on the example data above, the optimal join would give me the table below:
Modified Table 1
Student ID | DATE_NO | HT | WT |
125 | 3 | 72 | 155 |
572 | 6 | 70 | 225 |
687 | 11 | 70 | 155 |
I'd like to use the UPDATE statement on Table 1, so after altering Table 1 with HT int and WT int, I attempt to do the following:
UPDATE T1
SET HT = T2.HT, WT = T2.WT
FROM Table_1 as T1
INNER JOIN Table_2 AS T2 ON T1.STUDENT_ID = T2.STUDENT_ID
WHERE (T1.DATE_NO) >= (T2.DATE_NO)
But the result gives me the FIRST record that meets the criteria. Switching greater than to less than [ >= to <= ] Make the HT/WT for each student the entries for Month 6,8, and 12) when it should be month 3,8, and 11. Any suggestions?
FYI: Won't be able to apply any solutions till Friday.
Is it something like this you're looking for:
UPDATE Q
SET
T1_HT = T2_HT
, T1_WT = T2_WT
FROM
(
SELECT
T1.HT T1_HT
, T1.WT T1_WT
, T2.HT T2_HT
, T2.WT T2_WT
, ROW_NUMBER() OVER (PARTITION BY T1.STUDENT_ID ORDER BY T2.DATE_NO DESC) R
FROM
Table_1 T1
JOIN Table_2 T2 ON
T1.STUDENT_ID = T2.STUDENT_ID
AND T2.DATE_NO <= T1.DATE_NO
) Q
WHERE R = 1
SELECT ts.student_id,
ts.date_no,
hw.ht,
hw.wt
FROM test_scores ts,
ht_wt hw
WHERE hw.student_id = ts.student_id
AND hw.date_no <= ts.date_no
AND hw.date_no =
(SELECT max(date_no)
FROM ht_wt
WHERE date_no <= ts.date_no
AND student_id = ts.student_id)
sql fiddle here
Hey all I have the following tables that need in order to get data from one that matches the other and have it from highest to lowest depending on the int of TempVersion.
UPDATE
net_Users
SET
net_Users.DefaultId = b.TId
FROM
(SELECT
TOP 1 IndivId,
TId
FROM
UTeams
WHERE
UTeams.[Active] = 1
ORDER BY
TempVersion DESC
) AS b
WHERE
net_Users.IndivId = b.IndivId
In the above I am trying to order from the highest TempVersion to the lowest.
The query above seems to just update 1 of those records with the TempVersion and stop there. I am needing it to loop to find all associated users with the same IndivId matching.
Anyone able to help me out with this?
sample data
net_Users:
name | DefaultId | IndivId | etc...
--------+-----------+---------+-------
Bob | | 87 | etc...
Jan | | 231 | etc...
Luke | | 8 | etc...
UTeams:
IndivId | TempVersion | etc...
--------+-------------+-------
8 | 44 | etc...
17 | 18 | etc...
8 | 51 | etc...
8 | 2 | etc...
7 | 22 | etc...
8 | 125 | etc...
87 | 10 | etc...
14 | 88 | etc...
8 | 5 | etc...
15 | 54 | etc...
65 | 11 | etc...
87 | 15 | etc...
39 | 104 | etc...
And the output I would be needing is (going to choose IndivId 8):
In net_users:
Name | DefaultId | IndivId | etc...
-----+-----------+---------+-------
Luke | 125 | 8 | etc...
Luke | 51 | 8 | etc...
Luke | 44 | 8 | etc...
Luke | 5 | 8 | etc...
Luke | 2 | 8 | etc...
I think this is what you were trying to do:
update net_Users
set net_Users.DefaultId = coalesce((
select top 1 TId
from UTeams
where UTeams.[Active] = 1
and net_Users.IndivId = UTeams.IndivId
order by u.TempVersion desc
)
,net_Users.DefaultId
)
another way using cross apply()
update n
set DefaultId = coalesce(x.Tid,n.DefaultId)
from net_Users as n
cross apply (
select top 1 TId
from UTeams as u
where u.[Active] = 1
and n.IndivId = u.IndivId
order by u.TempVersion desc
) as x
another way to do that with a common table expression and row_number()
with cte as (
select
n.IndivId
, n.DefaultId
, u.Tid
, rn = row_number() over (
partition by n.IndivId
order by TempVersion desc
)
from net_users as n
inner join UTeams as u
on n.IndivId = u.IndivId
where u.[Active]=1
)
update cte
set DefaultId = Tid
where rn = 1