09-15-2008 11:52 AM
I am using LV 8.2 with database toolkit. My application requires to get information from a table by evaluating columns on the table, The data on the colums is numeric and I need to write a MS SQL query capable to do boolean operations to compare them to numeric filters.
Any Advice?
09-15-2008 01:05 PM - edited 09-15-2008 01:07 PM
Well, this doesn't really sound like a LabVIEW question. Seems to be more of a T-SQL question.
Basically, that's where the WHERE clause (pardon the bad repetition of terms) comes in. Can you provide an example of what you're looking for? You may want to start here.
09-15-2008 01:40 PM
thanks for replying , I already look into that link and did not find any boolean operators like AND, OR, NAND for SQL .
I need a query to AND a column on a table and bring all rows to a second table if the AND on the column returns a number different than zero.
As I said this will be an AND operation on unsigned numeric values
09-15-2008 01:48 PM
vochito wrote:thanks for replying , I already look into that link and did not find any boolean operators like AND, OR, NAND for SQL .
Trust me. AND and OR exist for T-SQL. Example: SELECT * FROM tblMyTable WHERE col = 5 AND col7 > 23.
I need a query to AND a column on a table and bring all rows to a second table if the AND on the column returns a number different than zero.
As I said this will be an AND operation on unsigned numeric values
This doesn't make much sense. You can't AND a single column. And what do you mean "bring all rows to a second table".
09-15-2008 02:06 PM
This is an example of a query I want to write :
Select * from Table_1 into Table_2 where ((business AND 23) <> 0)
In other words I want to apply an AND filter to the business column and pick only the rows for which the evaluation returned a value different than zero.
THis is because Business column contains numeric values ranging from 0 to 255 they reperesent a binary array. the number at the right side of AND is also a number which represent another binary array.
09-15-2008 04:41 PM