As astander has mentioned, you can do that with a UDF. However, for large sets using a scalar function (as oppoosed to a inline-table function) the performance will stink as the function is evaluated row-by-row. As an alternative, you could expose the same results via a stored procedure executing a fixed query with placeholders which substitutes in your parameter values.
(Here's a somewhat dated but still relevant article on row-by-row processing for scalar UDFs.)
Edit: comments re. degrading performance adjusted to make it clear this applies to scalar UDFs.
create view view_test as
select
*
from
table
where id = (select convert(int, convert(binary(4), context_info)) from master.dbo.sysprocesses
where
spid = @@spid)
Try creating an inline table-valued function. Example:
CREATE FUNCTION dbo.fxnExample (@Parameter1 INTEGER)
RETURNS TABLE
AS
RETURN
(
SELECT Field1, Field2
FROM SomeTable
WHERE Field3 = @Parameter1
)
-- Then call like this, just as if it's a table/view just with a parameter
SELECT * FROM dbo.fxnExample(1)
If you view the execution plan for the SELECT you will not see a mention of the function at all and will actually just show you the underlying tables being queried. This is good as it means statistics on the underlying tables will be used when generating an execution plan for the query.
The thing to avoid would be a multi-statement table valued function as underlying table statistics will not be used and can result in poor performance due to a poor execution plan.
Example of what to avoid:
CREATE FUNCTION dbo.fxnExample (@Parameter1 INTEGER)
RETURNS @Results TABLE(Field1 VARCHAR(10), Field2 VARCHAR(10))
AS
BEGIN
INSERT @Results
SELECT Field1, Field2
FROM SomeTable
WHERE Field3 = @Parameter1
RETURN
END
Subtly different, but with potentially big differences in performance when the function is used in a query.