I need to get all the claim rows based on procedure 900. My example is below. If I put a WHERE filter I wont get the 'procedure 600' row on claim 1.
claim
procedure
1
900
1
600
2
500
2
600
You can use IN <subquery>. For example:
select *
from t
where claim in (select claim from t where procedure = 900)
Related
I would like select some elements from the last id
Here an example that I have :
id money
1 200
1 150
1 500
3 50
4 40
4 300
5 110
Here what I would like :
1 500
3 50
4 300
5 110
So like you can see, I took last id and the money who corresponds.
I tried to do a group by id order by id descending with limit 1. But limit 1 is not available in proc sql from sas and it doesn't work.
Thanks in advance
Unlike SAS datasets, SQL tables represent unordered sets. In your case, it looks like you want the maximum value in the second column, in which case you can use aggregation:
proc sql;
select id, max(money)
from t
group by id;
If you actually mean the last row per id based on the ordering in the SAS dataset, I would suggest using a data step instead.
I am trying in Athena to output only users which have some specific value in them but not in all of the rows
Suppose I have the table below.
I want all users which have value '100' in at least one of their rows but also having in other rows value different than 100.
user | value
A | 1
B | 2
A | 100
D | 3
A | 4
C | 3
C | 5
D | 100
So in this example I would want to get only users A and D because only them having 100 and none 100.
I tried maybe grouping by user and creating an array of values per user and then checking if array contains 100 but I don't manage doing it presto.
Also I thought about converting rows to columns and then checking if one of columns equals 100.
Those solutions are too complex? Anybody knows how to implement them or anyone has a better simpler solution?
The users that have at least one value of 100 can be found with this SQL:
SELECT DISTINCT user
FROM some_table
WHERE value = 100
But I assume you are after all tuples of user and value where the user has at least one value of 100, this can be accomplished by using the query above in a slightly more complex query:
WITH matching_users AS (
SELECT DISTINCT user
FROM some_table
WHERE value = 100
)
SELECT user, value
FROM matching_users
LEFT JOIN some_table USING (user)
You can use sub query as below to achieve your required output=
SELECT * FROM your_table
WHERE User IN(
SELECT DISTINCT User
FROM your_table
WHERE Value = 100
)
If you just want the users, I would go for aggregation:
select user
from t
group by user
having sum(case when value = 100 then 1 else 0 end) > 0;
If 100 is the maximum possible value, this can be simplified to:
having max(value) = 100
I have a following table in SQL Server 2008 and it needs to be shown in a particular format. I was thinking of what approach should I follow to get desired output. Whether cursor needs to be used or not or multiple while loops to traverse each rows. This table has multiple accounts and dt_id is unique.
Kindly find the table below:
Desired output:
The problem statements is for eg in first table for first non zero dt_debit amount is 100 and I need to check whether this value cancels out in dt_credit column on FIFO method.
So in this case in first loop 100 gets compared to 500. So here it's less than
500 therefore it will go in the 2nd table.
Then it will go to 2nd value that is 400 and it will compare previous remaining balance that is 500 - 100 = 400 so again since its not greater again entry will go in desired output table.
Now for value 50 it will compare with 300 and 250 balance will be left. Next value is 300 therefore for 300 values will go twice as it will come in 250 + it will also take 50 from 80 dt_credit.
Can this logic be done in SQL Server. I am using SQL Server 2008. Any help would be appreciated.
I have one table with the following columns and sample values:
[test]
ID | Sample | Org | EmployeeNumber
1 100 6513241
2 200 3216542
3 300 5649841
4 100 9879871
5 200 6546548
6 100 1116594
My example count query based on [test] returns these sample values grouped by Org:
Org | Count of EmployeeNumber
100 3
200 2
300 1
My question is can I use this count to update test.Sample to 'x' for the top 3 records of Org 100, the top 2 records of Org 200, and the top 1 record of Org 300? It does not matter which records are updated, as long as the number of records updated for the Org = the count of EmployeeNumber.
I realize that I could just update all records in this example but I have 175 Orgs and 900,000 records and my real count query includes an iif that only returns a partial count based on other columns.
The db that I am taking over uses a recordset and loop to update. I am trying to write this in one SQL update statement. I have tried several variations of nested select statements but can't quite figure it out. Any help would save my brain from exploding. Thanks!
Assuming, that id is the unique ID of the row, you could use a correlated subquery to select the count of row IDs of the rows sharing the current organization, that are less than or equal to the current row ID and check, that this count is less than or equal to the number of records from that organization you want to designate.
For example to mark 3 records of the organization 100 you could use:
UPDATE test
SET sample = 'x'
WHERE org = 100
AND (SELECT count(*)
FROM test t
WHERE t.org = test.org
AND t.id <= test.id) <= 3;
And analog for the other cases.
(Disclaimer: I don't have access to Access (ha, ha, pun), so I could not test it. But I guess it's basic enough, to work in almost every DBMS, also in Access.)
I'm working on deciphering some stored procedures and have minimal vocabulary on the subject. Can someone please explain to me what role this '1' serves in the below statement? I can not find any DISTINCT syntax tutorials to explain this. I'm referring to the actual "1" one in the statement.
USE TEST
GO
SET ANSI_NULLS, QUOTED_IDENTIFIER ON
GO
CREATE PROCEDURE [dbo].sp_F_SQL
(#Id int)
WITH ENCRYPTION AS
SELECT DISTINCT
dbo.MAP_SQL.rID,
dbo.MAP_SQL.lID,
dbo.MAP_SQL.cID,
**1** as RESPFACT,
dbo.MAP_SQL.Longitude,
dbo.MAP_SQL.Latitude,
dbo.MAP_SQL.Altitude,
...
The 1 has nothing to do with DISTINCT. It just adds an output column titled RESPFACT that has a value of 1 for all rows. I suspect whatever is consuming the output need that column.
SELECT DISTINCT only returns the "distinct" rows from the output - meaning rows where ALL column values are equal.
e.g. if your output without distinct was
1 2 ABC DEF
2 3 GHI JLK
2 1 ABC DEF
1 2 ABC DEF
Then rows 1 and 4 would be seen as "equal" and ony one would be returned:
1 2 ABC DEF
2 3 GHI JLK
2 1 ABC DEF
Note that rows 1 and 3 are NOT equal even though 3 of the 4 column values match.
The 1 generates a column called RESPFACT. This always has the value of 1.
I cannot say why this is important for the sp_F_SQL procedure.
The distinct returns unique rows. If there are duplicate values for the columns in the select then only one row is returned. Clearly, the RESPFACT column is the same in all rows, so it does not affect the rows being returned.