I have the following sql to calculate a % total:
SELECT tblTourns_atp.ID_Ti,
Sum([FS_1]/(SELECT Sum(FSOF_1)
FROM stat_atp
WHERE stat_atp.ID_T = tblTourns_atp.ID_T)) AS S1_IP
FROM stat_atp
INNER JOIN tblTourns_atp ON stat_atp.ID_T = tblTourns_atp.ID_T
GROUP BY tblTourns_atp.ID_Ti
I'm getting the 'aggregate error' because it wants the ID_T fields either grouped or in an aggregate function. I've read loads of examples but none of them seem to apply when the offending field is the subject of 'WHERE'.
Tables and output as follows:
+----------+------+--------+--+---------------+-------+--+--------+--------+
| stat_atp | | | | tblTourns_atp | | | Output | |
+----------+------+--------+--+---------------+-------+--+--------+--------+
| ID_T | FS_1 | FSOF_1 | | ID_T | ID_Ti | | ID_Ti | S1_IP |
| 1 | 20 | 40 | | 1 | 1 | | 1 | 31.03% |
| 2 | 30 | 100 | | 2 | 1 | | 2 | 28.57% |
| 3 | 40 | 150 | | 3 | 1 | | 3 | 33.33% |
| 4 | 30 | 100 | | 4 | 2 | | | |
| 5 | 30 | 100 | | 5 | 2 | | | |
| 6 | 40 | 150 | | 6 | 2 | | | |
| 7 | 20 | 40 | | 7 | 3 | | | |
| 8 | 30 | 100 | | 8 | 3 | | | |
| 9 | 40 | 150 | | 9 | 3 | | | |
| 10 | 20 | 40 | | 10 | 3 | | | |
+----------+------+--------+--+---------------+-------+--+--------+--------+
Since you already have an inner join between the two tables, a separate subquery isn't required:
select t.id_ti, sum(s.fs_1)/sum(s.fsof_1) as pct
from tbltourns_atp t inner join stat_atp s on t.id_t = s.id_t
group by t.id_ti
Can you help me on what query I to to update one table with data from another.
I have 2 tables for example:
tbl_med_take
| id | name | med | qty |
---------------------------------
| 1 | jayson | med2 | 3 |
| 2 | may | med2 | 4 |
| 3 | jenny. | med3 | 6 |
| 4 | joel. | med3 | 4 |
tbl_med
| id | med | stocks |
-----------------------------
| 1 | med1 | 20 |
| 2 | med2 |. 17 |
| 3 | med3 | 24 |
The output that I want in tbl_med:
tbl_med
| id | med | stocks |
-----------------------------
| 1 | med1 | 20 |
| 2 | med2 |. 10 |
| 3 | med3 | 14 |
First get the total consumed from med_tbl_take using
select med,sum(quantity) as total from tbl_med_take group by med
Then you can left join with your med_tbl and subtract.
select m.id,m.med,(m.stocks-ISNULL(n.total,0)) from tbl_med m
left join
(select med,sum(quantity) as total from tbl_med_take group by med) n
on m.med=n.med
CHECK DEMO HERE
Which way we can use to check and compare the dates from one table to another.
Table : inc
+--------+---------+-----------+-----------+-------------+
| inc_id | cust_id | item_id | serv_time | inc_date |
+--------+---------+-----------+-----------+-------------+
| 1 | john | HP | 40 | 17-Apr-2015 |
| 2 | John | HP | 60 | 10-Jan-2016 |
| 3 | Nick | Cisco | 120 | 11-Jan-2016 |
| 4 | samanta | EMC | 180 | 12-Jan-2016 |
| 5 | Kerlee | Oracle | 40 | 13-Jan-2016 |
| 6 | Amir | Microsoft | 300 | 14-Jan-2016 |
| 7 | John | HP | 120 | 15-Jan-2016 |
| 8 | samanta | EMC | 20 | 16-Jan-2016 |
| 9 | Kerlee | Oracle | 10 | 2-Feb-2017 |
+--------+---------+-----------+-----------+-------------+
Table: Contract:
+-----------+---------+----------+------------+
| item_id | con_id | Start | End |
+-----------+---------+----------+------------+
| Dell | DE2015 | 1/1/2015 | 12/31/2015 |
| HP | HP2015 | 1/1/2015 | 12/31/2015 |
| Cisco | CIS2016 | 1/1/2016 | 12/31/2016 |
| EMC | EMC2016 | 1/1/2016 | 12/31/2016 |
| HP | HP2016 | 1/1/2016 | 12/31/2016 |
| Oracle | OR2016 | 1/1/2016 | 12/31/2016 |
| Microsoft | MS2016 | 1/1/2016 | 12/31/2016 |
| Microsoft | MS2017 | 1/1/2017 | 12/31/2017 |
+-----------+---------+----------+------------+
Result:
+-------+---------+---------+--------------+
| Calls | Cust_id | Con_id | Tot_Ser_Time |
+-------+---------+---------+--------------+
| 2 | John | HP2016 | 180 |
| 2 | samanta | EMC2016 | 200 |
| 1 | Nick | CIS2016 | 120 |
| 1 | Amir | MS2016 | 300 |
| 1 | Oracle | OR2016 | 40 |
+-------+---------+---------+--------------+
MY Query:
select count(inc_id) as Calls, inc.cust_id, contract.con_id,
sum(inc.serv_time) as tot_serv_time
from inc inner join contract on inc.item_id = contract.item_id
where inc.inc_date between '2016-01-01' and '2016-12-31'
group by inc.cust_id, contract.con_id
The result from inc table with filter between 1-jan-2016 to 31-Dec-2016 with
count of inc_id based on the items and its contract start and end dates .
If I understand correctly your problem, this query will return the desidered result:
select
count(*) as Calls,
inc.cust_id,
contract.con_id,
sum(inc.serv_time) as tot_serv_time
from
inc inner join contract
on inc.item_id = contract.item_id
and inc.inc_date between contract.start and contract.end
where
inc.inc_date between '2016-01-01' and '2016-12-31'
group by
inc.cust_id,
contract.con_id
the question is a little vague so you might need some adjustments to this query.
select
Calls = count(*)
, Cust = i.Cust_id
, Contract = c.con_id
, Serv_Time = sum(Serv_Time)
from inc as i
inner join contract as c
on i.item_id = c.item_id
and i.inc_date >= c.[start]
and i.inc_date <= c.[end]
where c.[start]>='20160101'
group by i.Cust_id, c.con_id
order by i.Cust_Id, c.con_id
returns:
+-------+---------+----------+-----------+
| Calls | Cust | Contract | Serv_Time |
+-------+---------+----------+-----------+
| 1 | Amir | MS2016 | 300 |
| 2 | John | HP2016 | 180 |
| 1 | Kerlee | OR2016 | 40 |
| 1 | Nick | CIS2016 | 120 |
| 2 | samanta | EMC2016 | 200 |
+-------+---------+----------+-----------+
test setup: http://rextester.com/WSYDL43321
create table inc(
inc_id int
, cust_id varchar(16)
, item_id varchar(16)
, serv_time int
, inc_date date
);
insert into inc values
(1,'john','HP', 40 ,'17-Apr-2015')
,(2,'John','HP', 60 ,'10-Jan-2016')
,(3,'Nick','Cisco', 120 ,'11-Jan-2016')
,(4,'samanta','EMC', 180 ,'12-Jan-2016')
,(5,'Kerlee','Oracle', 40 ,'13-Jan-2016')
,(6,'Amir','Microsoft', 300 ,'14-Jan-2016')
,(7,'John','HP', 120 ,'15-Jan-2016')
,(8,'samanta','EMC', 20 ,'16-Jan-2016')
,(9,'Kerlee','Oracle', 10 ,'02-Feb-2017');
create table contract (
item_id varchar(16)
, con_id varchar(16)
, [Start] date
, [End] date
);
insert into contract values
('Dell','DE2015','20150101','20151231')
,('HP','HP2015','20150101','20151231')
,('Cisco','CIS2016','20160101','20161231')
,('EMC','EMC2016','20160101','20161231')
,('HP','HP2016','20160101','20161231')
,('Oracle','OR2016','20160101','20161231')
,('Microsoft','MS2016','20160101','20161231')
,('Microsoft','MS2017','20170101','20171231');
I have a table structure for SalesItems, and Sales.
SalesItems is setup something like this
| SaleItemID | SaleID | ProductID | ProductType |
| 1 | 1 | 1 | 1 |
| 2 | 1 | 2 | 2 |
| 3 | 1 | 15 | 1 |
| 4 | 2 | 5 | 2 |
| 5 | 3 | 1 | 1 |
| 6 | 3 | 8 | 5 |
And Sales is setup something like this
| Sale | Cash |
| 1 | 1.00 |
| 2 | 10.00 |
| 3 | 28.50 |
I am trying to export a basic 'Daily History' that uses joins to spit out the information like this.
| Date | StoreID | Type1Sales | Type2Sales | ... | Cash Taken |
| 5/2 | 50 | 50 | 40 | ... | 39.50 |
| 5/3 | 50 | 10 | 32.50 | ... | 48.50 |
The issue I'm having is if I do an inner join From Sales to Sales Items, I'll end up with this.
| SaleItemID | SaleID | ProductID | ProductType | Sale | Cash |
| 1 | 1 | 1 | 1 | 1 | 1.00 |
| 2 | 1 | 2 | 2 | 1 | 1.00 |
| 3 | 1 | 15 | 1 | 1 | 1.00 |
| 4 | 2 | 5 | 2 | 2 | 10.00 |
| 5 | 3 | 1 | 1 | 3 | 28.50 |
| 6 | 3 | 8 | 5 | 3 | 28.50 |
So if I do a SUM(Cash), then I'll end up returning $70.00, instead of the correct $39.50. I'm not the best with joins, so I've been researching outer joins and such, but none of those seem to work as it's still matching up. Is there a way to only match on the FIRST instance, and return NULL for the rest? For example, something like this
| SaleItemID | SaleID | ProductID | ProductType | Sale | Cash |
| 1 | 1 | 1 | 1 | 1 | 1.00 |
| 2 | 1 | 2 | 2 | 1 | NULL |
| 3 | 1 | 15 | 1 | 1 | NULL |
| 4 | 2 | 5 | 2 | 2 | 10.00 |
| 5 | 3 | 1 | 1 | 3 | 28.50 |
| 6 | 3 | 8 | 5 | 3 | NULL |
Or do you have any other suggestions for returning back the correct amount of Cash for each particular day?
Use DISTINCT(SaleID) in your SELECT to return a single row for each Sale ID.
SQL beginner here. I've got a simple test that users take, and each row is the answer to one of their questions. They're allowed to take the exam once per day, so some people take it a second time on another day, and thus will have many rows with different test dates. What I'm basically trying to do is get each user's most recent score.
Here is what my data looks like (table name is dumdum):
+----------+----------------+----------+------------------+
| USERNAME | CORRECT_ANSWER | RESPONSE | DATE_TAKEN |
+----------+----------------+----------+------------------+
| matt | 1 | 1 | 3/23/15 1:04:26 |
| matt | 2 | 2 | 3/23/15 1:04:28 |
| matt | 3 | 3 | 3/23/15 1:04:23 |
| david | 1 | 3 | 3/20/15 1:04:25 |
| david | 2 | 2 | 3/20/15 1:04:28 |
| david | 3 | 1 | 3/20/15 1:04:30 |
| david | 1 | 1 | 3/21/15 11:03:14 |
| david | 2 | 3 | 3/21/15 11:03:17 |
| david | 3 | 2 | 3/21/15 11:03:19 |
| chris | 1 | 2 | 3/17/15 12:45:52 |
| chris | 2 | 2 | 3/17/15 12:45:56 |
| chris | 3 | 3 | 3/17/15 12:45:59 |
| peter | 1 | 1 | 3/19/15 2:45:33 |
| peter | 2 | 3 | 3/19/15 2:45:35 |
| peter | 3 | 2 | 3/19/15 2:45:38 |
| peter | 1 | 1 | 3/20/15 12:32:04 |
| peter | 2 | 2 | 3/20/15 12:32:05 |
| peter | 3 | 3 | 3/20/15 12:32:05 |
+----------+----------------+----------+------------------+
and what I'm trying to get in the end...
+----------+------------------+-------+
| USERNAME | MOST_RECENT_TEST | SCORE |
+----------+------------------+-------+
| matt | 3/23/2015 | 100 |
| david | 3/21/2015 | 33 |
| chris | 3/17/2015 | 67 |
| peter | 3/20/2015 | 100 |
+----------+------------------+-------+
I ran into some trouble because I need to go by day, and not by day/time, so I had to do a weird maneuver where I went to character and back to date... This is what I have so far, but I can't figure out how to use only the scores from the most recent test (right now it's factoring in all scores from every test ever taken)...
SELECT username, to_date(substr(max(test_date),1,9),'dd-MON-yy') as most_recent_test, round((sum(case when response=correct_answer then 1 end)/3)*100,0) as score
FROM dumdum group by username
Any help would be appreciated! Thanks!
There are several solutions to this problem this one uses the WITH clause and the RANK function.
It also uses the TRUNC function rather than to_date(substr(
with mxDate as
(SELECT USERNAME,
TRUNC(DATE_TAKEN) as MOST_RECENT_TEST,
CASE WHEN CORRECT_ANSWER = RESPONSE THEN 1 else 0 END as SCORE,
RANK () OVER (PARTITION BY USERNAME
ORDER BY TRUNC(DATE_TAKEN) DESC) Rk
FROM dumdum)
SELECT
USERNAME,
MOST_RECENT_TEST,
SUM(SCORE)/3 * 100
FROM
mxDate
WHERE
rk = 1
GROUP BY
USERNAME,
MOST_RECENT_TEST
Demo