I'm just starting to get a hang of SQL but I've tried to find an answer to this but with no avail.
I have a table that kinda looks like this:
date base version prod_id place
2016-01-02 1 1 22 home
2016-01-02 1 1 22 home
2016-01-02 1 1 1 home
2016-01-02 1 1 1 store
2016-01-02 1 1 22 store
2016-01-02 1 1 2 store
2016-01-02 1 1 2 web
2016-01-02 1 1 24 web
2016-01-02 1 1 1 web
2016-01-02 1 2 24 home
2016-01-02 1 2 22 home
2016-01-02 1 2 22 store
2016-01-02 1 2 1 store
2016-01-02 1 2 2 web
2016-01-03 1 1 22 home
2016-01-03 1 1 22 home
2016-01-03 1 1 1 home
2016-01-03 1 1 24 store
2016-01-03 1 2 24 store
2016-01-03 1 2 22 web
2016-01-03 1 2 1 web
2016-01-03 1 2 2 web
2016-01-03 1 2 1 web
I'm trying to do a query that gives me this
date base version place 1,2 22,24 Total
2016-01-02 1 1 home 1 2 3
2016-01-02 1 1 store 2 1 3
2016-01-02 1 1 web 2 1 3
2016-01-02 1 2 home 2 0 2
2016-01-02 1 2 store 1 1 2
2016-01-02 1 2 web 1 0 1
2016-01-03 1 1 home 2 1 3
2016-01-03 1 1 store 0 1 1
2016-01-03 1 2 store 0 1 1
2016-01-03 1 2 web 3 0 3
So to put it in words: I'm trying to group and count the occurances of each value in prod_id and put them in an column. And its not only one value that needs to be counted and grouped together, sometimes two or more. So in this example i've added up all occurances of 1 and 2 on a specific date, version and place and so also 22 and 24. Do I make any sense?
Nice problem. You can count a complicated CASE.
The query
SELECT
prod_id,
CASE WHEN prod_id IN (1,2) THEN 1 ELSE 0 AS v1Or2,
CASE WHEN prod_id IN (22,24) THEN 1 ELSE 0 AS v22or24
FROM table1
This gives you something you can usefully SUM
prod_id v1or2 v22or24
22 0 1
22 0 1
1 1 0
1 1 0
22 0 1
2 1 0
2 1 0
With the appropriate GROUP BY you have...
SELECT date,place,base,version,
SUM(CASE WHEN prod_id IN (1,2) THEN 1 ELSE 0) AS v1Or2,
SUM(CASE WHEN prod_id IN (22,24) THEN 1 ELSE 0) AS v22or24
FROM table1
GROUP BY date,place,base,version
Select [Date]
,Base
,[version]
,place
,SUM(Case when prod_id IN (1,2) THEN 1 ELSE 0 END) AS [1,2]
,SUM(Case when prod_id IN (22,24) THEN 1 ELSE 0 END) AS [22,24]
,Count(*) AS Total
From TableName
GROUP BY [Date] ,Base ,[version],place
You can solve this by combining the sum aggregate function with case expressions to do the counts based on what value the prod_id has. This technique is sometimes referred to as conditional aggregation.
Try this:
select
date, base, version, place,
sum(case when prod_id in (1,2) then 1 else 0 end) as "1,2",
sum(case when prod_id in (22,24) then 1 else 0 end) as "22,24",
count(prod_id) as Total
from your_table
group by date, base, version, place
order by date, base, version;
Related
I'm sure I saw it somewhere, but I cannot find it.
Given this table Historic:
ID1
ID2
Event_Date
Label
1
1
2020-01-01
1
1
1
2020-01-02
1
1
1
2020-01-04
1
1
1
2020-01-08
1
1
1
2020-01-20
1
1
1
2020-12-30
1
1
1
2020-01-01
0
1
1
2020-01-02
1
1
1
2020-01-04
0
1
1
2020-01-08
1
1
1
2020-01-20
0
1
1
2020-12-30
1
1
2
2020-01-01
1
1
2
2020-01-02
1
1
2
2020-01-04
1
2
1
2020-01-08
1
2
1
2020-01-20
1
2
1
2020-12-30
1
And the table startingpoint
ID1
ID2
Event_Date
1
1
2020-01-01
1
1
2020-01-02
1
1
2020-01-05
1
1
2020-01-08
1
1
2020-01-21
1
1
2021-01-01
1
1
2020-01-01
1
1
2020-01-03
1
1
2020-01-06
1
1
2020-01-11
1
1
2020-01-20
1
1
2020-12-31
1
2
2020-01-03
1
2
2020-01-05
1
2
2020-01-08
2
1
2020-01-08
2
1
2020-01-21
2
1
2021-01-01
For each row in startingpoint, compute the number of rows in historic with the same ID1 and ID2, where Event_Date in historic is between StartingPoint.Event_date - n days (I make it n so that I can change for different values) and StartingPoint.Event_date - 2 days. Then use the same rules to compute the fraction of rows with label = 1.
I know I can do this with a join , but if historic and startingpoint are very large, this looks very inefficient (for every row in startingpoint it will create a large join, and in the end it will sumarize the same set of rows many times repetadly). From an abstract point, it looks to me like it would be better to first sumarize historic for every ID1, ID2, Event_date, and the join with the startingpoint and select the best, but I'm open to other solutions.
You can try below solution with subquery:
select * ,(select count(*) from historic h where h.id1=s.id1 and h.id2=s.id2 and h.event_date between dateadd(day,-30,s.event_date) and dateadd(day,-2,s.event_date) )from startingpoint s
You have to have some form of join; either joining directly, or with a scalar subquery, which is probably not going to be as efficient.
The simplest way to do this is probably just a plain join, if you only want to see rows which have historic data:
select sp.id1, sp.id2, sp.event_date,
count(h.event_date) as any_label,
count(case when h.label = 1 then h.label end) as label_1,
count(case when h.label = 1 then h.label end) / count(h.event_date) as fraction_1
from startingpoint sp
join historic h on h.id1 = sp.id1
and h.id2 = sp.id2
and h.event_date >= sp.event_date - 10
and h.event_date < sp.event_date - 2
group by sp.id1, sp.id2, sp.event_date
order by sp.id1, sp.id2, sp.event_date;
where n is 10; which with your data would give you:
ID1 ID2 EVENT_DATE ANY_LABEL LABEL_1 FRACTION_1
--- --- ---------- --------- ------- --------------------
1 1 2020-01-05 4 3 .75
1 1 2020-01-06 4 3 .75
1 1 2020-01-08 6 4 .6666666666666666667
1 1 2020-01-11 8 6 .75
1 2 2020-01-05 2 2 1
1 2 2020-01-08 3 3 1
Or if you want to see zero counts, you can use an outer join; though then the fraction calculation needs some logic to avoid a divide-by-zero error:
select sp.id1, sp.id2, sp.event_date,
count(h.event_date) as any_label,
count(case when h.label = 1 then h.label end) as label_1,
case when count(h.event_date) > 0 then
count(case when h.label = 1 then h.label end) / count(h.event_date)
end as fraction_1
from startingpoint sp
left join historic h on h.id1 = sp.id1
and h.id2 = sp.id2
and h.event_date >= sp.event_date - 10
and h.event_date < sp.event_date - 2
group by sp.id1, sp.id2, sp.event_date
order by sp.id1, sp.id2, sp.event_date;
which gets:
ID1 ID2 EVENT_DATE ANY_LABEL LABEL_1 FRACTION_1
--- --- ---------- --------- ------- --------------------
1 1 2020-01-01 0 0
1 1 2020-01-02 0 0
1 1 2020-01-03 0 0
1 1 2020-01-05 4 3 .75
1 1 2020-01-06 4 3 .75
1 1 2020-01-08 6 4 .6666666666666666667
1 1 2020-01-11 8 6 .75
1 1 2020-01-20 0 0
1 1 2020-01-21 0 0
1 1 2020-12-31 0 0
1 1 2021-01-01 0 0
1 2 2020-01-03 0 0
1 2 2020-01-05 2 2 1
1 2 2020-01-08 3 3 1
2 1 2020-01-08 0 0
2 1 2020-01-21 0 0
2 1 2021-01-01 0 0
db<>fiddle
I want to create a select query in SQL Server where I group the rows by a column (BaseId) and also order them by Status, RTime and Version. I want to add a column "isFirst" that has the value 1 if the BaseId value is the first in the group, and 0 if it's not.
My sample table:
Table name: Head
Id BaseId Name RTime Status Version
2 2 abc 04-12 12:34 1 1
3 3 xyz 04-12 13:10 9 1
4 2 abc 04-13 14:25 0 2
5 3 xyz 04-14 12:34 0 2
6 3 xyz 04-14 13:10 9 3
7 3 xyz 04-16 14:25 1 4
8 2 abc 04-16 17:40 1 3
9 9 sql 04-17 02:23 9 1
10 9 sql 04-17 07:31 0 2
Expected result:
isFirst Id BaseId Name RTime Status Version
1 10 9 sql 04-17 07:31 0 2
0 9 9 sql 04-17 02:23 9 1
1 5 3 xyz 04-14 12:34 0 2
0 7 3 xyz 04-16 14:25 1 4
0 6 3 xyz 04-14 13:10 9 3
0 3 3 xyz 04-12 13:10 9 1
1 4 2 abc 04-13 14:25 0 2
0 8 2 abc 04-16 17:40 1 3
0 2 2 abc 04-12 12:34 1 1
My query now looks like this:
SELECT *
FROM Head
ORDER BY BaseId desc, Status, RTime desc, Version desc
I think I should use CASE to create the isFirst column, but I've had no luck so far. Anyone could help me?
You can use row_number() and a case expression:
select
case when row_number() over(
partition by BaseId
order by Status, RTime desc, Version desc
) = 1
then 1
else 0
end isFirst,
h.*
from head h
order by BaseId desc, Status, RTime desc, Version desc
This is a two part question. I have a base table that looks like this:
DATE ID START_DATE QTY ROW
2011-01-31 1 2009-04-30 40 1
2011-01-31 1 2009-10-31 5 2
2011-01-31 1 2010-01-15 10 3
2011-01-31 2 2009-09-15 50 1
2011-01-31 3 2010-05-25 20 1
2011-01-31 3 2010-06-01 10 2
2011-01-31 3 2010-09-01 200 3
I want to expand out rows into columns, adding two columns for each row (QTY and START_DATE) so that each date + ID has only one line:
DATE ID SD1 QTY1 SD2 QTY2 SD3 QTY3
2011-01-31 1 2009-04-30 40 2009-10-31 5 2010-01-15 10
2011-01-31 2 2009-09-15 50 NULL NULL NULL NULL
2011-01-31 3 2010-05-25 20 2010-06-01 10 2010-09-01 200
Right now I have up to 44 that I need to add (MAX(ROW)), but in the future there could be more. I can manually add the 44 by doing:
max(CASE WHEN ROW = 1 THEN q.START_DATE END) AS SD1,
SUM(CASE WHEN ROW = 1 THEN q.QTY END) AS QTY1,
max(CASE WHEN ROW = 2 THEN q.START_DATE END) AS SD2,
SUM(CASE WHEN ROW = 2 THEN q.QTY END) AS QTY2,
...
max(CASE WHEN ROW = n THEN q.START_DATE END) AS SDn,
SUM(CASE WHEN ROW = n THEN q.QTY END) AS QTYn
My first question, if I fix the number at say 50, is there a clean way for me to add those 100 columns in my code, or do I just need to explicitly show all 100 lines?
Second question, is there a way for me to use MAX(ROW) to tell the statement how many columns to add? Meaning if MAX(ROW) = 10, add SD1 - SD10 and QTY1 - QTY10. But if on next run MAX(ROW) = 100, add SD1 - SD100, QTY1 - QTY100
Thanks!
I would like to get report for drink purchased in whole month but price of the drink can change any time in month and I would like to get report for a month with price change
I have two tables
SELECT [ID]
,[DrinkID]
,[UserID]
,[qty]
,[DateTaken]
FROM [Snacks].[dbo].[DrinkHistory]
SELECT [ID]
,[DrinkID]
,[UserID]
,[qty]
,[DateTaken]
FROM [Snacks].[dbo].[DrinkHistory]
[DrinkHistory]:
ID DrinkID UserID qty DateTaken
----------------------------------------------------------------------
1 1 1 1 2014-05-10
2 1 1 2 2014-05-15
3 2 1 1 2014-06-01
4 2 1 4 2014-06-01
5 1 1 3 2014-05-20
6 1 1 4 2014-05-30
[DrinkPricesEffect]:
PriceID DrinkID DrinkPrice PriceEffectiveDate IsCurrent
-----------------------------------------------------------------------------------
1 1 10.00 2014-05-01 1
2 1 20.00 2014-05-20 1
3 2 9.00 2014-06-01 1
4 2 8.00 2014-01-01 1
5 1 30.00 2014-05-25 1
6 1 40.00 2014-05-28 1
I would like to have result as under date taken between 2014-05-1 to 2014-05-31
DrinkId Qty Price DateTaken PriceEffectiveDate
-----------------------------------------------------------------------
1 1 10 2014-05-10 2014-05-01
1 2 10 2014-05-15 2014-05-01
1 3 20 2014-05-20 2014-05-20
1 4 40 2014-05-30 2014-05-28
Is there any who can give me some idea or write query for me?
If your drink price can change any time in a month you could additionaly save the price for each purchase. I would add a column [PricePaid] to the table [DrinkHistory].
When adding a record to [DrinkHistory], the price for the drink at the moment is known, but later it might change so you save the current price to the history...
Then for your result you could just display the Whole [DrinkHistory]
SELECT * FROM DrinkHistory;
This should work:
Select
DH.DrinkId,
DH.Qty,
DPE.DrinkPrice AS Price,
DH.DateTaken,
DPE.PriceEffectiveDate
FROM DrinkHistory DH
JOIN DrinkPricesEffect DPE ON DPE.PriceID =
(
Select Top 1 PriceID FROM
(
Select PriceID,RANK() OVER(ORDER BY PriceEffectiveDate DESC ) AS rnk
FROM DrinkPricesEffect
WHERE DH.DrinkId = DrinkId AND
DH.DateTaken >= PriceEffectiveDate
)SubQ WHERE rnk = 1
)
WHERE DH.DateTaken Between '2014-05-01' AND '2014-05-30'
Here you can find the SQL Fiddle link: http://sqlfiddle.com/#!6/5f8fb/26/0
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