HELP with SQL WHERE syntax I have to pull out a range of entries from a database, all based around two pieces of data.  In itself that's fine. An example of the data is:

Record   ID    Tags
1        1423  Day, Sun, Warm
2        1423  Day, Sun, Wet
3        1742  Night, Warm
4        2743  Night, Warm, Dry, Stars
5        4832  Sunrise, Bright, Clear, Cool


Now in the above data, the ID is an internal company ID, but Record is a unique DB ID.  There are 2,500 rows of similar data in the database, with other data that's not related to this query.  Now we need to pull the data in the following style, written here in a symbolic, rather than specific SQL so people can understand it.  I've included brackets to emphasis which parts must match:

WHERE (ID=1423 AND tags contains Warm) 
OR WHERE (ID=2743 AND Tags contains Dry) 
OR WHERE (ID=4832 AND Tags contains Cold)


The question is how do I get the SQL statement to work right?  I've tried 

SELECT DISTINCT ID 
FROM DBTABLE 
WHERE ID=2743 AND Tags LIKE '%Warm%' 
    OR ID=4832 AND Tags LIKE '%Cool%'


But it doesn't seem to return the correct records.  I have a specific query which I know will return 5 records, but every time it returns more, including ones that don't match.  I'm thinking the SQL is mixing up, for example, where ID=2743 AND (tags like warm or 2743) AND Tags like dry or 4832 etc...

Can anyone point me in the right direction.  In essence it is multiple where statements, where each statement has to match an ID and have a 'LIKE' tag. but the statement can match one or more of the given WHERE statements.  Does that make sense?
As Martin Smith and dezso commented, you can add parentheses to your query to be explicit in your intent since they can change how the where clause is evaluated:

SELECT DISTINCT ID AS IDs
FROM DBTABLE
WHERE ((ID = 1423) AND (Tags LIKE '%Warm%'))
OR ((ID = 2743) AND (Tags LIKE '%Dry%'))
OR ((ID = 4832) AND (Tags LIKE '%Cool%'))


This returns a 3-record result set containing 1423, 2743 &amp; 4832 from your example data.

Parentheses can also make your SQL queries more readable and maintainable.