I am trying to select rows that fall under these conditions
IF kid=IND and kid=Family
then select Kid=IND
If kid only has Family
then select family.
if kid only has IND
then select IND.
How would I go about doing this using CASE?
ex.
kid_id date type
001 1/1/2013 IND
001 1/1/2013 Family
002 1/2/2013 Family
003 1/3/2013 IND
Results
001 1/1/2013 IND
002 1/2/2013 Family
003 1/3/2013 IND
select
case
When (kid=ind and kid=family) Then ind
When kid=family then family
When kid=ind then ind
else
null
end
From SomeTable
given kid, ind and family are columns in the table.
Do you mean something like this
select kid_id,date,
case
When (kid=ind and kid=family) Then 'Both'
When kid=family then family
When kid=ind then ind
else
'None'
end as TypeGroup
From SomeTable
Related
Scenario: Trying to count more active users for time series analysis.
Need: With postgreSQL(redshift) Count customers that have more than X unique transactions within Y days from said date, group by date.
How do i achieve this?
Table: orders
date
user_id
product_id
transaction_id
2022-01-01
001
003
001
2022-01-02
002
001
002
2022-03-01
003
001
003
2022-03-01
003
002
003
...
...
...
...
Outcome:
date
active_customers
2022-01-01
10
2022-01-02
12
2022-01-03
9
2022-01-04
13
You may be able to use the window functions LEAD() and LAG() here but this solution may also work for you.
WITH data AS
(
SELECT o.date
, o.user_id
, COUNT(o.trans_id) tcount
FROM orders o
WHERE o.date BETWEEN o.date - '30 DAYS'::INTERVAL AND o.date -- Y days from given date
GROUP BY o.date, o.user_id
), user_transaction_count AS
(
SELECT d.date
, COUNT(d.user_id) FILTER (WHERE d.tcount > 1) -- X number of transactions
OVER (PARTITION BY d.user_id) user_count
FROM data d
)
SELECT u.date
, SUM(u.user_count) active_customers
FROM user_transaction_count u
GROUP BY u.date
ORDER BY u.date
;
Here is a DBFiddle that demos a couple options.
I need to concatenate the rows(taille). for example, for the code_commande 001 and code_article=1, I need to concatenate in list all taille which have these two conditions. another example, for code_commande=001 and code_article=2, the same job I need to concatenate in a list all taille which have these two conditions. this for all
code_commande code_article taille
001 1 s
001 1 m
001 1 xl
001 1 x52
001 2 m
001 1 5566
001 2 x52
001 1 xl
002 1 s
002 2 m
001 3 xxl
002 3 xs
001 1 ml
001 1 xs32
I need to concatenate taille for each code_commande for each code_article
example of result:
001 1 s,m,xl etcc
dynamically
I should have a table who grouped the ( taille) for each code_commande for each code_article like:
001 1 s,m,xl,
001 2 s,xl,l
002 1 xs,ettcc
I have tried this query but ,it concatenate all (taille) for all rows
the query
Select [code_commande],[code_article], SUBSTRING(
(
SELECT ',' +[taille] AS 'data()'
FROM [dbo].[commande] FOR XML PATH('')
), 2 , 9999) As taille_commande
from [dbo].[commande]
order by [code_article],[code_commande]desc
As mentioned, STRING_AGG() is your friend for this requirement. Assuming your original post contained the schema you're working with, a simple aggregate query will give you the results you want.
select code_commande, code_article, STRING_AGG(taille, ',') as taille_commande
from dbo.commande
group by code_commande, code_article
STRING_AGG reference
Note this is only available in SQL Server 2017+ and azure. To see a possible solution for previous versions, see this duplicate.
i got a question.
I use this straight foreward query to retrieve data on a daily basis. part of the data is an ID.
For example, i got ID's 001 002 003 and 004. Every ID has some columns with data.
I daily generate a report based on that data.
A typical day looks lke
ID Date Value
001 2013-07-02 900
002 2013-07-02 800
003 2013-07-02 750
004 2013-07-02 950
Select *
FROM
myTable
WHERE datum > now() - INTERVAL '2 days' and ht not in (select ht from blocked_ht)
order by ht, id;
Some times the import for 1 id fails. So my data looks like
ID Date Value
001 2013-07-02 900
003 2013-07-02 750
004 2013-07-02 950
Its vital to know that 1 ID is missing, visualized in my report (made in Japserreports)
So i instert an ID without a date and value 0 and eddited the query:
SELECT *
FROM
"lptv_import" lptv_import
WHERE datum > now() - INTERVAL '2 days' and ht not in (select ht from negeren_ht) OR datum IS NULL
order by ht, id;
Now the data looks like this:
001 2013-07-02 900
002 800
003 2013-07-02 750
004 2013-07-02 950
How can i select from the tabel the row without the date WHEN ID 002 WITH a date is missing?
Hmm, this looks more compliacted than i thought...
select
id, coalesce(datum::text, 'NULL') as "date", "value"
from
(
select distinct id
from lptv
) id
left join
lptv using (id)
where
datum > now() - INTERVAL '2 days'
and not exists (select ht from negeren_ht where ht = lptv.ht)
order by id
Using Crystal Report 7
ID Value
001 100
002 200
003 400
004 500
...
I have n number of row, from that i want to sum of value from 003 to n, i don't want to sum of 001 and 002.
In a report footer, i need to add sum of value from 003 to n.
How to create a formula for the above condition, Need formula help
You can use the same solution as: How to add rows at runtime
Create a new formula field: if {table.id} in ['001', '002'] then 1 else 2;
Create a group using this formula
Suppress the group header
Add your total fields to the group footer (you will get a total of 001 + 002 then a total of 003... n
Using Crystal Report 7
ID Name
001 Raja
002 Vijay
003 Suresh
004 Mahes
005 Salma
I want to arrange by id (003, 001, 004, 002, 005)
Expected output
ID Name
003 Suresh
001 Raja
004 Mahes
002 Vijay
005 Salma
Note: Maximum row is 5 only, it will not exceed more than 5.
I need to add 5 group or any other method is there for arranging the rows.
Need Crystal report formula or suggestion help
In later versions of crystal you can set a custom sort order but if this feature isn't available in CR7 you should be able to create a formula:
if {table.id} = '003' then
1
else if {table.id} = '001' then
2
else if {table.id} = '004' then
3
else if {table.id} = '002' then
4
else if {table.id} = '005' then
5
else
999;
Then sort on that formula.