New to the site, and SQL queries in general here, so forgive the noobness here. I'm looking to create a SQL query that returns 3 columns (from a single table):
Distinct "Region__C"
Count of "ID" Where "ACTIVE__C" is "Y"
Count of "ID" Where "ACTIVE__C" is "N"
Here's the query that would do #1 and #2 OR #3. Just not sure how to approach creating both column #2 and #3 in the same query:
SELECT DISTINCT SCHEMA.CONTACT.REGION__C AS "Region",COUNT(SCHEMA.CONTACT.ID) AS "Active Contacts"
FROM SCHEMA.CONTACT
WHERE SCHEMA.CONTACT.ACTIVE__C = 'Y' AND SCHEMA.CONTACT.REGION__C != 'Unknown'
GROUP BY SCHEMA.CONTACT.REGION__C
Thanks in advance for any help that anyone can provide!
SELECT SCHEMA.CONTACT.REGION__C ,
COUNT(CASE WHEN SCHEMA.CONTACT.ACTIVE__C = 'Y' THEN 1
END) AS Y ,
COUNT(CASE WHEN SCHEMA.CONTACT.ACTIVE__C = 'N' THEN 1
END) AS N
FROM SCHEMA.CONTACT
WHERE SCHEMA.CONTACT.ACTIVE__C IN ( 'N', 'Y' ) AND
SCHEMA.CONTACT.REGION__C != 'Unknown'
GROUP BY SCHEMA.CONTACT.REGION__C
I think this will work:
SELECT DISTINCT SCHEMA.CONTACT.REGION__C AS "Region",
sum(case ACTIVE__C when 'Y' then 1 else 0 end) as "CountActive",
sum(case ACTIVE__C when 'N' then 1 else 0 end) as "CountInactive",
COUNT(SCHEMA.CONTACT.ID) AS "Active Contacts"
FROM SCHEMA.CONTACT
WHERE SCHEMA.CONTACT.REGION__C != 'Unknown'
GROUP BY SCHEMA.CONTACT.REGION__C
Related
I need help How can I merge the column into a single column, here is my code, is this method is correct. I want to get the count of the selected row in the table for the columns.
SELECT
CAT_MGR,
SUM ( case when CAT_MGR = 'A' THEN 1 else 0 end ) AS DESIGN,
sum (case when CAT_MGR = 'b' THEN 1 else 0 END) AS DESIGN,
sum (case when CAT_MGR = 'c' THEN 1 else 0 END) AS DESIGN
from Table_A
GROUP BY
CAT_MGR
Can you guys help me I'm a beginner at SQL.
Thank you in advance
If you want just one row in the resultset, then remove the group by clause. Then, if you want to count the three cat mgr together, you can use in:
select
sum(case when cat_mgr = 'a' then 1 else 0 end ) as design_a,
sum(case when cat_mgr = 'b' then 1 else 0 end ) as design_b,
sum(case when cat_mgr = 'c' then 1 else 0 end ) as design_c,
sum(case when cat_mgr in ('a', 'b', 'c') then 1 else 0 end ) as design
from Table_a
You just need to make addion like below in order to get one column "Design"
SELECT
CAT_MGR,
SUM (case when CAT_MGR = 'A' THEN 1 else 0 end )
+ sum (case when CAT_MGR = 'b' THEN 1 else 0 END)
+ sum (case when CAT_MGR = 'c' THEN 1 else 0 END)
AS DESIGN
from TJD_CORE_CATPB_TB
GROUP BY
CAT_MGR
I'm working on SMS-Gateway that holds multiple charged SMS-services with different numbers,
each SMS sent to the customer has 4 status as below (forwarded, delivered, expired,delivery failed)
Now I have the below first_table for the charging-system with the below details (TABLE-A)
and below (TABLE-B) which contain the status of each sent SMS with its ID
Below is my expected final result to forecast the details for each sms-service :
At first I thought it was easy all I need is just to use COUNT(Case when ...)
but in my case I have thousands of SMS-numbers(services) so if I use this approach it will be like that:-
COUNT(CASE WHEN a.SMS_SHORT_CODE='1111' AND B.STATUS='forwarded' )
COUNT(CASE WHEN a.SMS_SHORT_CODE='1111' AND B.STATUS='delivered' )
COUNT(CASE WHEN a.SMS_SHORT_CODE='1111' AND B.STATUS='expired' )
COUNT(CASE WHEN a.SMS_SHORT_CODE='1111' AND B.STATUS='delivery failed' )
COUNT(CASE WHEN a.SMS_SHORT_CODE='5000' AND B.STATUS='forwarded' )
COUNT(CASE WHEN a.SMS_SHORT_CODE='5000' AND B.STATUS='delivered' )
COUNT(CASE WHEN a.SMS_SHORT_CODE='5000' AND B.STATUS='expired' )
COUNT(CASE WHEN a.SMS_SHORT_CODE='5000' AND B.STATUS='delivery failed' )
...
...
...
...
...
...
...
The above approach not practical when you have many services also noting that CASE can handle only 250 conditions?
So what is the best approach to do left outer join for (Table A) on (Table B) using the SMS-ID and count each SMS-status and forecast it as below?
I would suggest conditional aggregation:
select b.SMS_SHORT_CODE,
sum(case when status = 'forwaded' then 1 else 0 end) as count_of_forwaded,
sum(case when status = 'delivered' then 1 else 0 end) as count_of_status,
sum(case when status = 'expired' then 1 else 0 end) as count_of_expired,
sum(case when status = 'delivery failed' then 1 else 0 end) as count_of_delivery_failed
from TABLEB b
group by b.SMS_SHORT_CODE ;
Note that no JOIN is necessary. All the data you want to aggregate is in TABLEB.
Please use below query,
select
A.SMS_SHORT_CODE,
case when status = 'forwaded' then count(status ) end as count_of_forwaded,
case when status = 'delivered' then count(status ) end as count_of_status,
case when status = 'expired' then count(status ) end as count_of_expired,
case when status = 'delivery failed' then count(status ) end as count_of_delivery_failed
from TABLEA A
inner join TABLEB B
on (A.SMS_ID = B.SMS_ID)
group by A.SMS_SHORT_CODE, status ;
You can use PIVOT clause (introduced in Oracle 11g version) for those status columns :
SELECT sms_short_code,
COUNT_OF_forwarded,
COUNT_OF_delivered,
COUNT_OF_expired,
COUNT_OF_delivery_failed
FROM tableB
PIVOT
(
COUNT(*) FOR status IN ( 'forwarded' AS COUNT_OF_forwarded,
'delivered' AS COUNT_OF_delivered,
'expired' AS COUNT_OF_expired,
'delivery failed' AS COUNT_OF_delivery_failed )
)
e.g. only using TableB is enough.
Demo
I am trying to determine my store only accounts revenue from the database, to do this I need to look through all account numbers with revenue against a 'store' description who do NOT appear in a list of accounts with an 'online' description which I have tried todo in the subquery below. The query runs however it just returns NULL values in my store_only_revenue column. Any guidance on what to do from here would be appreciated. Am I approaching the problem in a good way? Or is there a better solution:
SELECT
town,
financial_pd as month,
SUM(CASE WHEN [Descr] = 'online' THEN Net_Revenue ELSE 0 END) as online_revenue,
SUM(CASE WHEN [Descr] = 'store' THEN Net_Revenue ELSE 0 END) as store_revenue,
COUNT(DISTINCT CASE WHEN [Descr] = 'online' THEN Account_Number ELSE NULL END) as online_accounts,
COUNT(DISTINCT CASE WHEN [Descr] = 'store' THEN Account_Number ELSE NULL END) as store_accounts,
(SELECT
SUM(Net_Revenue)
FROM [mydb].[dbo].[mytable]
WHERE
Descr = 'store'
AND Account_Number
NOT IN(
SELECT DISTINCT Account_Number
FROM [mydb].[dbo].[mytable]
WHERE
Descr = 'online')
) as store_only_revenue
FROM [mydb].[dbo].[mytable] as orders
WHERE
Group_name = 'T'
AND NOT
Type_name_1 = 'Electronic'
AND
Account_type <> 1
AND
Total_Value > 0
AND
(Insert_Date BETWEEN '2016-05-30' AND '2016-07-03'
OR
Insert_Date BETWEEN '2015-05-25' AND '2015-06-28')
OR
(Insert_Date BETWEEN '2016-05-30' AND '2016-07-03'
AND
Insert_Date BETWEEN '2015-05-25' AND '2015-06-28')
GROUP BY
town,
financial_pd as period
This expression is suspect:
Account_Number NOT IN (SELECT DISTINCT t.Account_Number
FROM [mydb].[dbo].mytable t
WHERE t.Descr = 'online'
)
Assuming that the syntax problems are typos (missing table name, desc is a reserved word), then this will never return true if even one Account_Number is NULL. One way to fix this is:
Account_Number NOT IN (SELECT t.Account_Number
FROM [mydb].[dbo].mytable t
WHERE t.Desc = 'online' AND t.Account_Number IS NOT NULL
)
I would use NOT EXISTS:
not exists (select 1
from [mydb].[dbo].??? x
where x.Desc = 'online' AND ??.Account_Number = x.Account_Number
)
You need to use proper table aliases for this to work. Either of these solutions may fix your problem.
I'm using PostgreSQl and this is my table in database:
how can I write a query that gives me this result :
or you can write query like
select id_salarie,
max(case when date_pointage = '2015-01-01' then round(nb_heures::numeric,2) else null end) as "2015-01-01",
max(case when date_pointage = '2015-01-02' then round(nb_heures::numeric,2) else null end)as "2015-01-02",
max(case when date_pointage = '2015-01-03' then round(nb_heures::numeric,2) else null end) as "2015-01-03"
from my_table where id_salarie = 1
group by id_salarie;
Query looks huge and terrible but works for cubes
I am wondering why the following query doesn't give 'N/A' when there are no rows for ENVIRON='Dev/Int'. It is returning null in the result of the query. I tried doing NVL(COUNT(*)) but that does't work either.
Any thoughts?
Thanks in advance.
SELECT G1.NAME,
(SELECT CASE
WHEN COUNT(*) > 0 AND ticket IS NOT NULL THEN 'Solved'
WHEN COUNT(*) > 0 AND ticket IS NULL THEN 'Done'
ELSE 'N/A'
END
FROM TABLE1
WHERE ENVIRON='Dev/Int' AND G1.NAME=NAME GROUP BY ENVIRON, ticket ) "Dev/Int"
FROM TABLE1 G1 group by G1.NAME
It doesn't give any rows because you are filtering them all out. The case is inside the query. When there are no rows to process, it returns NULL.
I think you just want conditional aggregation. The subqueries don't seem necessary:
SELECT G1.NAME,
(CASE WHEN SUM(CASE WHEN ENVIRON = 'Dev/Int' then 1 else 0 END) > 0 AND ticket IS NOT NULL
THEN 'Solved'
WHEN SUM(CASE WHEN ENVIRON = 'Dev/Int' then 1 else 0 END) > 0 AND ticket IS NULL
THEN 'Done'
ELSE 'N/A'
END) as "Dev/Int"
FROM TABLE1
group by G1.NAME;
EDIT:
Oops, the above left ticket out of the sum(). I think the logic you want has ticket in the sum() condition:
SELECT G1.NAME,
(CASE WHEN SUM(CASE WHEN ENVIRON = 'Dev/Int' AND ticket IS NOT NULL then 1 else 0 END) > 0
THEN 'Solved'
WHEN SUM(CASE WHEN ENVIRON = 'Dev/Int' AND ticket IS NULL then 1 else 0 END) > 0
THEN 'Done'
ELSE 'N/A'
END) as "Dev/Int"
FROM TABLE1
group by G1.NAME;
I'm surprised your original query worked at all and didn't get an error of the sort that subquery returned more than one row.