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
Related
I have this table where the tagging [Tag_To] is updated by an algorithm based on Year and Period of coverage. My current task (in question) is to update the Status given the Year.
ID Year Method Period_From Period_To SeqNo Tag_To Status
-----------------------------------------------------------------------------------
10 2019 A 2019-01-01 2019-12-31 1
11 2019 B 2019-01-01 2019-06-30 2 1
12 2019 B 2019-07-01 2019-12-31 3 1
13 2019 C 2019-01-01 2019-06-30 4 2
14 2020 A 2020-01-01 2020-12-31 1
15 2020 B 2020-01-01 2020-06-30 2 1
16 2020 B 2020-07-01 2020-12-31 3 1
17 2020 C 2020-01-01 2020-12-31 4 2,3
18 2021 A 2021-01-01 2021-12-31 1
19 2021 B 2021-01-01 2021-12-31 2 1
20 2021 C 2021-07-01 2021-12-31 3 2
The SeqNo is applied per Year and the Tag_To is done based on period of coverage.
11 and 12 are tagged to 10 since B follows A and their period falls within 10 period coverage.
13 is tagged to 11 since C follows B and the period...
15 and 16 to 14
Also note that 17 is tagged to 15 and 16 (2,3) because 17's coverage spans across the 2 periods of 15 and 16 combined
and so on...
The objective is to update the Status by Year such that each path is considered Closed if the path already has Methods A, B and C (there are actually more methods, but to simplify). Status should be Open for paths that haven't completed the methods.
From the example above, there are 5 paths:
10(A)-->11(B)-->13(C) = Closed
10(A)-->12(B)-->??? = Open
14(A)-->15(B)-->17(C) = Closed
14(A)-->16(B)-->17(C) = Closed
18(A)-->19(B)-->20(C) = Closed
Therefore the status update should be:
ID Year Method Period_From Period_To SeqNo Tag_To Status
-----------------------------------------------------------------------------------
10 2019 A 2019-01-01 2019-12-31 1 Open
11 2019 B 2019-01-01 2019-06-30 2 1 Closed
12 2019 B 2019-07-01 2019-12-31 3 1 Open
13 2019 C 2019-01-01 2019-06-30 4 2 Closed
14 2020 A 2020-01-01 2020-12-31 1 Closed
15 2020 B 2020-01-01 2020-06-30 2 1 Closed
16 2020 B 2020-07-01 2020-12-31 3 1 Closed
17 2020 C 2020-01-01 2020-12-31 4 2,3 Closed
18 2021 A 2021-01-01 2021-12-31 1 Closed
19 2021 B 2021-01-01 2021-12-31 2 1 Closed
20 2021 C 2021-07-01 2021-12-31 3 2 Closed
I hope I have explained everything clearly. Would really appreciate if anyone could help.
Just to update viewers that I have managed to solve this on my own although the solution is super non-dynamic and quite inefficient, it pretty much did the job for me. Here's what I did.
UPDATE Table SET
Status =
CASE WHEN Method = 'B'
AND NOT EXISTS ( SELECT * FROM Table P INNER JOIN
(
SELECT VALUE AS Tag_To
FROM Table AV
CROSS APPLY STRING_SPLIT(AV.Tag_To, ',')
WHERE AV.Method = 'C'
) C ON P.Sequence_No = C.Tag_To
WHERE P.ID = AValue.ID
)
THEN 'Open'
WHEN Method = 'A'
AND NOT EXISTS ( SELECT * FROM Table P INNER JOIN
(
SELECT VALUE AS Tag_To
FROM Table AV
CROSS APPLY STRING_SPLIT(AV.Tag_To, ',')
WHERE AV.Method = 'B'
) C ON P.Sequence_No = C.Tag_To
WHERE P.ID = AValue.ID
)
THEN 'Open'
ELSE 'Closed'
END
FROM Table AValue
WHERE Year = #Year
;WITH CTE AS
(
SELECT
ROW_NUMBER() OVER(PARTITION BY A.Method ORDER BY A.Sequence_No ASC) SN,
A.ID,
A.Method,
A.Sequence_No,
A.Tag_To,
A.Period_From,
A.Period_To,
A.Status
FROM Table A
LEFT JOIN
(
SELECT VALUE AS Tag_To
FROM Table AV
CROSS APPLY STRING_SPLIT(AV.Tag_To, ',')
WHERE Year = #Year
) B ON A.Sequence_No = B.Tag_To
WHERE Year = #Year
),
CTE2 AS
(
SELECT DISTINCT SN FROM CTE
WHERE Status = 'Open'
)
UPDATE Table SET
Status = 'Open'
FROM Table
INNER JOIN CTE ON Table.ID = CTE.ID
INNER JOIN CTE2 ON CTE.SN = CTE2.SN
Yeah, it's ugly but, hey, it did the job! :)
I have tables and data as below. Trying to get the Manufacturer and the questions they answered by joining and pivot but able to. Added the expected output at the end but no luck. Any suggestions are appreciated.
tblManufacturer
MFRID
MFRNum
1
3M
2
GM
3
HD
4
GL
tblMFRQuestions
MFRQID
MFRQTEXT
21
ENTER PRICE??
22
WHAT IS TIME??
23
WHAT IS RANGE??
tbMFRQuestionAnswers
MFRID
MRFRQID
MFRANSWER
1
21
55
1
22
9AM
1
23
105KM
2
21
57
2
22
10PM
2
23
535KM
3
21
355
3
22
12AM
3
23
5105KM
Expected Output:
MFRID MFRNUM ENTER PRICE?? WHAT IS TIME?? WHAT IS RANGE??
1 3M 55 9AM 105KM
2 GM 57 10PM 535KM
3 HD 355 12AM 5105KM
You could try something like this
select m.*,
max(case when q.MFRQTEXT='ENTER PRICE??' then qa.MFRANSWER else null end) [ENTER PRICE??],
max(case when q.MFRQTEXT='WHAT IS TIME??' then qa.MFRANSWER else null end) [WHAT IS TIME??],
max(case when q.MFRQTEXT='WHAT IS RANGE??' then qa.MFRANSWER else null end) [WHAT IS RANGE??]
from tblManufacturer m
join tbMFRQuestionAnswers qa on m.MFRID=qa.MFRID
join tblMFRQuestions q on qa.MFRQID=q.MFRQID
group by m.MFRID, m.MFRNum
order by m.MFRID, m.MFRNum;
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
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