I have the following table in my database:
date sales
1 2010-12-13 10
2 2010-12-13 10
3 2010-12-13 10
4 2010-12-13 10
5 2010-12-13 10
6 2010-12-14 20
7 2010-12-14 20
8 2010-12-14 20
9 2010-12-14 20
10 2010-12-14 20
Is there a way to attain the first record only and populate the rest with NULL or 0 for the remainder of the group? AS the grouping will be done by date and sales:
For example the intended output is:
date sales
1 2010-12-13 10
2 2010-12-13 0
3 2010-12-13 0
4 2010-12-13 0
5 2010-12-13 0
6 2010-12-14 20
7 2010-12-14 0
8 2010-12-14 0
9 2010-12-14 0
10 2010-12-14 0
So essentially to keep the first record but make the rest of the records in the group be 0 (maybe Null if that is quicker/easier)
The closest i have got to solving this is attaining just the first record through an inner join - but I think a partition over may solve it - just stuck at the moment!
Any help appreciated!
Using SQLite - but also GCP (SQL) is accesible to me
This might work in SQLite:
CASE WHEN id = MIN(id) OVER(PARTITION BY date) THEN sales ELSE 0 END as sales
If it doesn't you can prepare a subquery that has only the min ID per date and join it in:
SELECT
CASE WHEN y.id IS NULL THEN 0 ELSE sales END as sales
FROM
x
LEFT JOIN (SELECT MIN(id) as id FROM x GROUP BY date) y ON x.id= y.id
Related
I need to show the number of valid inspectors we have by month over the last five years. Inspectors are considered valid when the expiration date on their certification has not yet passed, recorded as the month end date. The below SQL code is text of the query to count valid inspectors for January 2017:
SELECT Count(*) AS RecordCount
FROM dbo_Insp_Type
WHERE (dbo_Insp_Type.CERT_EXP_DTE)>=#2/1/2017#);
Rather than designing 60 queries, one for each month, and compiling the results in a final table (or, err, query) are there other methods I can use that call for less manual input?
From this sample:
Id
CERT_EXP_DTE
1
2022-01-15
2
2022-01-23
3
2022-02-01
4
2022-02-03
5
2022-05-01
6
2022-06-06
7
2022-06-07
8
2022-07-21
9
2022-02-20
10
2021-11-05
11
2021-12-01
12
2021-12-24
this single query:
SELECT
Format([CERT_EXP_DTE],"yyyy/mm") AS YearMonth,
Count(*) AS AllInspectors,
Sum(Abs([CERT_EXP_DTE] >= DateSerial(Year([CERT_EXP_DTE]), Month([CERT_EXP_DTE]), 2))) AS ValidInspectors
FROM
dbo_Insp_Type
GROUP BY
Format([CERT_EXP_DTE],"yyyy/mm");
will return:
YearMonth
AllInspectors
ValidInspectors
2021-11
1
1
2021-12
2
1
2022-01
2
2
2022-02
3
2
2022-05
1
0
2022-06
2
2
2022-07
1
1
ID
Cert_Iss_Dte
Cert_Exp_Dte
1
1/15/2020
1/15/2022
2
1/23/2020
1/23/2022
3
2/1/2020
2/1/2022
4
2/3/2020
2/3/2022
5
5/1/2020
5/1/2022
6
6/6/2020
6/6/2022
7
6/7/2020
6/7/2022
8
7/21/2020
7/21/2022
9
2/20/2020
2/20/2022
10
11/5/2021
11/5/2023
11
12/1/2021
12/1/2023
12
12/24/2021
12/24/2023
A UNION query could calculate a record for each of 50 months but since you want 60, UNION is out.
Or a query with 60 calculated fields using IIf() and Count() referencing a textbox on form for start date:
SELECT Count(IIf(CERT_EXP_DTE>=Forms!formname!tbxDate,1,Null)) AS Dt1,
Count(IIf(CERT_EXP_DTE>=DateAdd("m",1,Forms!formname!tbxDate),1,Null) AS Dt2,
...
FROM dbo_Insp_Type
Using the above data, following is output for Feb and Mar 2022. I did a test with Cert_Iss_Dte included in criteria and it did not make a difference for this sample data.
Dt1
Dt2
10
8
Or a report with 60 textboxes and each calls a DCount() expression with criteria same as used in query.
Or a VBA procedure that writes data to a 'temp' table.
I have a table like below,
id
number
date
1
23
2020-01-01
2
12
2020-03-02
3
23
2020-09-02
4
11
2019-03-04
5
12
2019-03-23
6
23
2019-04-12
I want to know is that how many times each number appears per year, such as,
number
2019
2020
23
1
2
12
1
1
11
1
0
I'm kinda stuck.. tried with left join or just a single select, but still, cannot figure out how to make it, please help thank you!
SELECT C.NUMBER,
SUM
(
CASE
WHEN C.DATE BETWEEN '20190101'AND '20191231'
THEN 1 ELSE NULL
END
) AS A_2019,
SUM
(
CASE
WHEN C.DATE BETWEEN '20200101'AND '20201231'
THEN 1 ELSE NULL
END
) AS A_2020
FROM I_have_a_table_like_below AS C
GROUP BY C.NUMBER
I got two tables. One with a bill of material and one with purchasing orders. Now I want to display the full bill of material of a product with the total on order amounts from the table purchasing.
**Billofmaterials**
BOM_ID BOM_Prod_id BOM_item_id
1 5 11
2 5 13
3 6 11
4 6 15
5 6 20
Example prod_id (product id) 6 has 3 items (id 11, 15 and 20).
**Purchasing**
PU_ID PU_item_id PU_amount PU_status
1 11 100 On order
2 11 650 On order
3 11 40 Received
4 20 600 On order
5 8 10 On order
6 15 150 Received
Now i got the following SQL
SELECT
BOM_item_id,
SUM(DISTINCT purchasing.PU_amount) as total_on_order
FROM Billofmaterials
LEFT JOIN purchasing
ON Billofmaterials.BOM_item_id= purchasing.PU_item_id
AND purchasing.PU_status != 'Received'
AND BOM_prod_id = 6
GROUP BY BOM_item_id
This query returns the following:
**Query result**
BOM_item_id total_on_order
11 750
20 600
Because there is only one received purchase order for BOM_item_id 15 it doesn't return a value. Now i want to retun BOM_item_id 15 also but with a total_on_order as 0 like:
**Expected result**
BOM_item_id total_on_order
11 750
15 0
20 600
What SQL feature/function do I need to use to get the expected result?
You can try the below -
SELECT BOM_item_id,coalesce(total_on_order,0) as total_on_order
FROM Billofmaterials left join
(
select PU_item_id,SUM(purchasing.PU_amount) as total_on_order
from purchasing
where purchasing.PU_status != 'Received'
group by PU_item_id
) purchasing
ON Billofmaterials.BOM_item_id= purchasing.PU_item_id
where BOM_prod_id = 6
Trying to work on SUM SQL code to SUM SOH for all ITEM_PARENT numbers. SOH is the result I'm looking for and ITEM_PARENT and STOCK_ON_HAND is what I have.
CASE WHEN ITEM_PARENT = ITEM_PARENT THEN SUM(STOCK_ON_HAND) ELSE 'DN' END AS SOH_SUM,
The code I have already done seems to be not working....
ITEM_PARENT STOCK_ON_HAND SOH_SUM
123649336 1 11
123649336 1 11
123649336 1 11
123649336 5 11
123649336 2 11
123649336 1 11
123649328 1 15
123649328 1 15
123649328 2 15
123649328 1 15
123649328 2 15
123649328 1 15
123649328 1 15
123649328 3 15
123649328 3 15
124566152 3 19
124566152 1 19
124566152 3 19
124566152 3 19
124566152 2 19
124566152 7 19
Anyone know what I'm missing there?
It looks as though you trying to do some sort of conditional aggregation, but your expected output does not require this. We can just do a select over the entire table and then use SUM as an analytic function to compute the SOH_SUM.
SELECT
ITEM_PARENT, STOCK_ON_HAND,
SUM(STOCK_ON_HAND) OVER (PARTITION BY ITEM_PARENT) SOH_SUM
FROM yourTable
ORDER BY ITEM_PARENT;
You can use window functions to get the desired result.
select
[ITEM_PARENT]
,[STOCK_ON_HAND]
,sum([STOCK_ON_HAND]) over(partition by [ITEM_PARENT]) as [ItemTotal]
from tablename
;
Otherwise, if you wanted to just get the total stock on hand for each item then group the data:
select
[ITEM_PARENT]
,sum([STOCK_ON_HAND]) as [TotalStockOnHand]
from tablename
group by
[ITEM_PARENT]
;
I have a set of data that looks like below
Name Time Perc Group Mode Control Cancelled
A 10:52 10.10 10 0 1 0
B 09:00 10.23 10 1 1 1
C 12:02 12.01 12 0 1 1
D 10:45 12.12 12 1 7 1
E 12:54 12.56 12 1 3 0
F 01:01 13.90 13 0 11 1
G 02:45 13.23 13 1 12 1
H 09:10 13.21 13 1 1 0
I need an output like below;
Group Perc Cancelled
10 20.33 1
12 36.69 2
13 40.34 2
What I'm getting was something like;
Group Perc Cancelled
10 20.33 5
12 36.69 5
13 40.34 5
I don't know what to call this, I have something in my mind to call it like CTE?, but I really can't figure it out.
Here's my source;
SELECT Group, SUM(Perc), Cancelled FROM
(SELECT Group, Perc, (SELECT COUNT(*) FROM tblName WHERE Cancelled=1) AS Cancelled FROM tblName WHERE 1=1 AND Group>=10)dt
GROUP BY Group, Cancelled
From your example, you don't need the nested query, any recursion, etc...
SELECT
Group,
SUM(Perc) AS total_perc,
SUM(cancelled) AS total_cancelled
FROM
tblName
WHERE
1=1
AND Group >= 10
GROUP BY
Group
If you did have some different data, then you might want to use something like...
SUM(CASE WHEN cancelled > 0 THEN 1 ELSE 0 END) AS total_cancelled