Join query criteria

Trying to come up with a query that will find all CustomerIDs from table A where all Items From table B have been shipped or cancelled

from this data query would return CustomerID 123 and 543.  
234 would be excluded because Table B, ID 6  is false for both shipped and cancelled.

SQL 2012
Table B Shipped and Cancelled are both BIT data type

Table A
OrderID  CustomerID
1               123
2               123
3               234
4               234
5               543

Table B
ID   OrderID(FK) Shipped  Cancelled
1     1                        True     False
2     1                        True     False
3     2                        True     False
4     2                        False    True
5     3                        True     False
6     3                        False    False
7     4                        True     False
8     5                        True     False
9     5                        False    True
10   5                        True     False
DON SwiatekAsked:
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FROM   TableA a INNER JOIN TableB b ON b.OrderID = a.OrderID
WHERE  b.Shipped = 1
OR     b.Cancelled = 1
DON SwiatekAuthor Commented:

This returns 234 when I try it.  Table B row 6 should exclude it.

maybe because other rows in Table B satisfy the WHERE?
Update: Simplified SQL
If you only want customers without any excluded records i.e. 0 orders that are "false for both shipped and cancelled", try:

SELECT c.CustomerID
		SELECT a.CustomerID
				, SUM(CASE WHEN b.Shipped = 0 AND b.Cancelled = 0 THEN 1 ELSE 0 END) AS ExcludedOrders
		FROM   @TableA a INNER JOIN @TableB b ON b.OrderID = a.OrderID
		GROUP BY a.CustomerID
	  ) c
WHERE ExcludedOrders = 0

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Mark EdwardsChief Technology OfficerCommented:
Yea.  Only customers who have ALL orders where both are false would make sense.  Customer #234 has 1 order that is False/False and one that is True/False.  It's because of the True/False order that you're getting customer #234.

Think through your logic again....
Mark WillsTopic AdvisorCommented:
where ALL orders are either shipped OR cancelled.....

You could check if the condition for exclusion EXISTS

WHERE NOT EXISTS ( SELECT NULL FROM TABLEB B WHERE A.OrderID = B.OrderID AND A.CustomerID = B.CustomerID and B.Shipped = 0 and B.Cancelled = 0)

The good thing about EXISTS is that it stops checking if it finds an instance.

In which case, having a PK, or a secondary index on TABLEB on OrderID,CustomerID and have Shipped and Cacelled as included columns would help a lot.

Because you have ID in the table, I would assume that is an IDENTITY and the PK

So your Secondary index would be

create index idx_tableB_OrderID_CustomerID on tableb (OrderID, CustomerID) include (shipped,Cancelled)

And that way, it should be contained within index
DON SwiatekAuthor Commented:
that works! Thanks!

Mark Wills
I like the idea as it seems more efficient but,
TableB does not contain CustomerID.  If I take out the AND A.CustomerID = B.CustomerID then it returns 234 with 123 and 543.
Mark WillsTopic AdvisorCommented:
Oops.... Sorry about that.

It does need it in the test, and is more efficient... Easy enough to fix :

WHERE NOT EXISTS ( SELECT NULL FROM #TableA A INNER JOIN  #TABLEB B ON A.OrderID = B.OrderID AND A.CustomerID = C.CustomerID and B.Shipped = 0 and B.Cancelled = 0)

Welcome to EE :)
NerdsOfTechTechnology ScientistCommented:
I had a semi-anti-join solution (24ms) up here which looked 'readable' and worked similarly as Mark's solution (Mark's solution is a true semi-anti-join), however, I deleted my comment earlier because of how fast and efficient _agx_'s query was (4ms).!18/26460/26
@DON Swiatek - Do profile both queries.  Mark's suggestion will probably be more efficient with larger volume.. but it's always good to verify it against real data.
awking00Information Technology SpecialistCommented:
with cte as
(select orderid from tablea
 select orderid from tableb where shipped = 0 and cancelled = 0),
cte2 as
(select customerid from tablea where orderid in (select orderid from cte))
select customerid from tablea
select customerid from cte2;
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Query Syntax

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