![]() ![]() WHERE B.ORGANIZATION NOT LIKE '*xxx*' AND B.ADJ = 1 AND C. In this case, the SELECT clause specifies the fields to append to the specified target table."ĮDIT: I believe the code below does the same but without the A.HKID IS NULL, might improve performance as well: INSERT INTO TABLE2 "You can also use INSERT INTO to append a set of records from another table or query by using the SELECT … FROM clause as shown above in the multiple-record append query syntax. You don't have to specify columns in the insert since the select will do that for you: But I suppose your where reduces it to just return C and B when it doesn't match with A. What you are saying is return all records from C and B whether or not it matches with A. WHERE A.HKID IS NULL and B.ORGANIZATION NOT LIKE '*xxx*' AND B.ADJ = 1 AND C. That code is incorrect INSERT INTO TABLE2 ![]() If you don't have Access installed, and you are running this query from an ADO connection, change the wild card character in the Like string pattern from * to %. If you have Access installed, you should build this query in the query designer because it will ensure you set up the joins properly to keep the db engine happy. ![]() FROM employee LEFT JOIN department ON employee.DepartmentID department.DepartmentID UNION ALL SELECT employee., department. If that is unacceptable you can list the fields individually and assign aliases where needed. See the Join (SQL) > Outer join > Full outer join article on Wikipedia. You will see the same pattern with any other field names those 2 tables have in common. I had to make that change because Access complained "join not supported" when I tried ON A.HKID=C.HKID If that is not satisfactory, you will need to start over I think I would tackle this one with the tables in the opposite order and use LEFT JOIN.Īlso, the table you create ( Table2) will include fields named B_HKID and C_HKID, which come from B.HKID and C.HKID. Exercise 1 Exercise 2 Exercise 3 Exercise 4 Exercise 5 Exercise 6 Exercise 7 Go to SQL Database Tutorial. Exercise 1 Exercise 2 Go to SQL Group By Tutorial. (Table1 AS A RIGHT JOIN ABC AS B ON A.HKID = B.HKID) Exercise 1 Exercise 2 Exercise 3 Go to SQL Join Tutorial. Like: SELECT FROM tag JOIN tagpost ON tag.tag 'mysql' AND tagpost.tagid tag.id JOIN post ON tagpost.postid post. When you have more than one JOIN, Access' db engine requires the use of parentheses. How about integrating the where into the join ON statement and if you have multiple joins intelligently order them so the most filtering is done in the first join reducing the rows to be used in the subsequent joins. ![]()
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