I need to return all values from colA that are not in colB from mytable. I am using:
SELECT DISTINCT(colA) FROM mytable WHERE colA NOT IN (SELECT colB FROM mytable)
It is working however the query is taking an excessively long time to complete.
Is there a more efficient way to do this?
You can check if the values in column A exist in column B using VLOOKUP. Select cell C2 by clicking on it. Insert the formula in “=IF(ISERROR(VLOOKUP(A2,$B$2:$B$1001,1,FALSE)),FALSE,TRUE)” the formula bar. Press Enter to assign the formula to C2.
How to Select All Records from One Table That Do Not Exist in Another Table in SQL? We can get the records in one table that doesn't exist in another table by using NOT IN or NOT EXISTS with the subqueries including the other table in the subqueries.
You can use exists:
select distinct
colA
from
mytable m1
where
not exists (select 1 from mytable m2 where m2.colB = m1.colA)
exists does a semi-join to quickly match the values. not in completes the entire result set and then does an or on it. exists is typically faster for values in tables.
In standard SQL there are no parentheses in DISTINCT colA. DISTINCT is not a function.
SELECT DISTINCT colA
FROM mytable
WHERE colA NOT IN (SELECT DISTINCT colB FROM mytable);
Added DISTINCT to the sub-select as well. If you have many duplicates it could speed up the query.
A CTE might be faster, depending on your DBMS. I additionally demonstrate LEFT JOIN as alternative to exclude the values in valB, and an alternative way to get distinct values with GROUP BY:
WITH x AS (SELECT colB FROM mytable GROUP BY colB)
SELECT m.colA
FROM mytable m
LEFT JOIN x ON x.colB = m.colA
WHERE x.colB IS NULL
GROUP BY m.colA;
Or, simplified further, and with a plain subquery (probably fastest):
SELECT DISTINCT m.colA
FROM mytable m
LEFT JOIN mytable x ON x.colB = m.colA
WHERE x.colB IS NULL;
There are basically 4 techniques to exclude rows with keys present in another (or the same) table:
The deciding factor for speed will be indexes. You need to have indexes on colA and colB for this query to be fast.
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