I have to determine how many rows are active from each Table. Then return the answers in one query AND put the results in a Table Variable.
a. Path
b. Course
c. Section
d. Event
I was able to determine the active rows with the following query:
SELECT * FROM [dbo].[ADF_Path]
WHERE PathActive is NULL
SELECT * FROM [dbo].[ADF_Course]
WHERE CourseActive = '1'OR
CourseActive = 'y'
SELECT * FROM [dbo].[ADF_Event]
WHERE EventActive = 'y'
Is it POSSIBLE to join these tables in order to arrive at the same conclusion
OR
How do I determine the active rows in 1 query?
Placing the query in a Variable Table is not a problem. I just need to know
how to formulate the query. (See Tables below)
Thank You
do you want something like?:
SELECT count(*) as cnt FROM [dbo].[ADF_Path] WHERE PathActive is NULL
union all
SELECT count(*) FROM [dbo].[ADF_Course] WHERE CourseActive = '1' OR CourseActive = 'y'
union all
SELECT count(*) FROM [dbo].[ADF_Event] WHERE EventActive = 'y'
you can also add column to distinguish between different counts, or summarize them like:
select sum(cnt) from ( <union query from above> ) as t
Related
I’m trying to use a correlated subquery in my sql code and I can't wrap my head around what I'm doing wrong. A brief description about the code and what I'm trying to do:
The code consists of a big query (ALIASED AS A) which result set looks like a list of customer IDs, offer IDs and response status name ("SOLD","SELLING","IRRELEVANT","NO ANSWER" etc.) of each customer to each offer. The customers IDs and the responses in the result set are non-unique, since more than one offer can be made to each customer, and a customer can have different response for different offers.
The goal is to generate a list of distinct customer IDs and to mark each ID with 0 or 1 flag :
if the ID has AT LEAST ONE offer with status name is "SOLD" or "SELLING" the flag should be 1 otherwise 0. Since each customer has an array of different responses, what I'm trying to do is to check if "SOLD" or "SELLING" appears in this array for each customer ID, using correlated subquery in the case statement and aliasing the big underlying query named A with A1 this time:
select distinct
A.customer_ID,
case when 'SOLD' in (select distinct A1.response from A as A1
where A.customer_ID = A1.customer_ID) OR
'SELLING' in (select distinct A1.response from A as A1
where A.customer_ID = A1.customer_ID)
then 1 else 0 end as FLAG
FROM
(select …) A
What I get is a mistake alert saying there is no such object as A or A1.
Thanks in advance for the help!
You can use exists with cte :
with cte as (
<query here>
)
select c.*,
(case when exists (select 1
from cte c1
where c1.customer_ID = c.customer_ID and
c1.response in ('sold', 'selling')
)
then 1 else 0
end) as flag
from cte c;
You can also do aggregation :
select customer_id,
max(case when a.response in ('sold', 'selling') then 1 else 0 end) as flag
from < query here > a;
group by customer_id;
With statement as suggested by Yogesh is a good option. If you have any performance issues with "WITH" statement. you can create a volatile table and use columns from volatile table in your select statement .
create voltaile table as (select response from where response in ('SOLD','SELLING').
SELECT from customer table < and join voltaile table>.
The only disadvantge here is volatile tables cannot be accessed after you disconnect from session.
There is a few posts about it but i can't make it work...
I just want to select just one row per ID, something like row_number() over Partition in oracle but in access.
ty
SELECT a.*
FROM DATA as a
WHERE a.a_sku = (SELECT top 1 b.a_sku
FROM DATA as b
WHERE a.a_sku = b.a_sku)
but i get the same table Data out of it
Sample of table DATA
https://ibb.co/X4492fY
You should try below query -
SELECT a.*
FROM DATA as a
WHERE a.Active = (SELECT b.Active
FROM DATA as b
WHERE a.a_sku = b.a_sku
AND a.Active < b.Active)
If you don't care which record within each group of records with a matching a_sku values is returned, you can use the First or Last functions, e.g.:
select t.a_sku, first(t.field2), first(t.field3), ..., first(t.fieldN)
from data t
group by t.a_sku
I have a situation where I have in one table record 'a' which have order number 0 and also record 'a' but with order number 1 - this is correct.
i also have record 'b' which has order number 1 and there is no row for record 'b' where order number = 0. - this is not correct.
I need to create a script which will find all records where order number = 1 but order number 0 doesn't exist. Can you guys help with this?
i cannot use simple:
SELECT DISTINCT record FROM tablename WHERE order_number <> 0
because it will give me also record 'a' which i don't want to have in results.
I was thinking about using Not Exists function but it always compares 2 tables where i have all records in one table.
Regards
Using Not Inin Where will eliminate 'a' and will give only 'b'
Try this:-
SELECT DISTINCT record FROM tablename WHERE order_number <> 0
and record not in (Select record from tablename WHERE order_number = 0);
hope this helps:-)
I'm very new to SQl so I'm not sure how to frame my question for a google search.. Basically, I'm trying to UNION two sets of columns. They have very similar information; Set A is a series of products with a column for the vendor. Set B is a series of products without a vendor.
What I want to do is filter set A such that only a certain vendor's products are show (Which is what I did with a WHERE clause). But then, I want to union Set A and Set B such that the values in Set B will will only display (and combine) where there is an entry in Set A for the product.
That is, to explain better, I want Set B to 'look at' Set A. It will see that Set A only has items from a certain vendor and Set B will then remove items that Set A does not have (items that are NOT from that vendor).
Any thoughts? Thank you,
Code below:
SELECT ([Transfer_From]
,'Transfer_To' = [WAREHOUSE_CODE]
,'Product_Number' = [PRODUCT_NUMBER]
,'QTY_Trans' = [quantity_received]
,'Transfer_Date' = [received_date]
FROM [fstrkdb_1].[dbo].[Inventry]
WHERE vendor_number = '1074'
UNION
SELECT [Transfer_From]
,[Transfer_To]
,[Product_Number]
,'QTY_Trans' =[Quantity_Allocated]
,[Transfer_Date]
FROM [fstrkdb_1].[dbo].[InvtransFromWhs]
ORDER BY Transfer_Date
GO
One way is to use EXISTS in the WHERE clause. A CTE helps avoid repeating the first query:
WITH a as (
SELECT Transfer_From, WAREHOUSE_CODE as Transfer_To, Product_Number,
quantity_received as QTY_Trans, received_date as Transfer_Date
FROM [fstrkdb_1].[dbo].[Inventry]
WHERE vendor_number = '1074'
)
SELECT a.*
FROM a
UNION ALL
SELECT Transfer_From, Transfer_To, Product_Number, Quantity_Allocated
Transfer_Date
FROM [fstrkdb_1].[dbo].InvtransFromWhs ifw
WHERE EXISTS (SELECT 1 FROM a WHERE a.Product_Number = ifw.Product_Number)
ORDER BY Transfer_Date;
You only need UNION if you are expecting duplicates. The queries should not be creating unexpected duplicates.
WITH DataSet1 as (
SELECT ([Transfer_From]
,'Transfer_To' = [WAREHOUSE_CODE]
,'Product_Number' = [PRODUCT_NUMBER]
,'QTY_Trans' = [quantity_received]
,'Transfer_Date' = [received_date]
FROM [fstrkdb_1].[dbo].[Inventry]
WHERE vendor_number = '1074'),
DataSet2 as (
SELECT [Transfer_From]
,[Transfer_To]
,[Product_Number]
,'QTY_Trans' =[Quantity_Allocated]
,[Transfer_Date]
FROM [fstrkdb_1].[dbo].[InvtransFromWhs] A
INNER JOIN dataset1 B
on A.Product_number = B.Product_number)
SELECT * FROM dataset1
UNION
SELECT * FROM dataset2
ORDER BY Transfer_Date
What this would do is generate dataset1. then use the products from dataset1 as a filter on dataset2 and then union those two sets together.
I'll do my best to summarize what I am having trouble with. I never used much SQL until recently.
Currently I am using SQL Server 2012 at work and have been tasked with trying to find oddities in SQL tables. Specifically, the tables contain similar information regarding servers. Kind of meta, I know. So they each share a column called "DB_NAME". After that, there are no similar columns. So I need to compare Table A and Table B and produce a list of records (servers) where a server is NOT listed in BOTH Table A and B. Additionally, this query is being ran against an exception list. I'm not 100% sure of the logic to best handle this. And while I would love to get something "extremely efficient", I am more-so looking at something that just plain works at the time being.
SELECT *
FROM (SELECT
UPPER(ta.DB_NAME) AS [DB_Name]
FROM
[CMS].[dbo].[TABLE_A] AS ta
UNION
SELECT
UPPER(tb.DB_NAME) AS [DB_Name]
FROM
[CMS].[dbo].[TABLE_B] as tb
) AS SQLresults
WHERE NOT EXISTS (
SELECT *
FROM
[CMS].[dbo].[TABLE_C_EXCEPTIONS] as tc
WHERE
SQLresults.[DB_Name] = tc.DB_NAME)
ORDER BY SQLresults.[DB_Name]
One method uses union all and aggregation:
select ab.*
from ((select upper(name) as name, 'A' as which
from CMS.dbo.TABLE_A
) union all
(select upper(name), 'B' as which
from CMS.dbo.TABLE_B
)
) ab
where not exists (select 1
from CMS.dbo.TABLE_C_EXCEPTION e
where upper(e.name) = ab.name
)
having count(distinct which) <> 2;
SQL Server is case-insensitive by default. I left the upper()s in the query in case your installation is case sensitive.
Here is another option using EXCEPT. I added a group by in each half of the union because it was not clear in your original post if DB_NAME is unique in your tables.
select DatabaseName
from
(
SELECT UPPER(ta.DB_NAME) AS DatabaseName
FROM [CMS].[dbo].[TABLE_A] AS ta
GROUP BY UPPER(ta.DB_NAME)
UNION ALL
SELECT UPPER(tb.DB_NAME) AS DatabaseName
FROM [CMS].[dbo].[TABLE_B] as tb
GROUP BY UPPER(tb.DB_NAME)
) x
group by DatabaseName
having count(*) < 2
EXCEPT
(
select DN_Name
from CMS.dbo.TABLE_C_EXCEPTION
)