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Archive for September 15th, 2009

NOT IN vs. NOT EXISTS vs. LEFT JOIN / IS NULL: SQL Server

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This series of articles is inspired by multiple questions asked by the site visitors and Stack Overflow users, including Tony, Philip, Rexem and others.

Which method (NOT IN vs. NOT EXISTS vs. LEFT JOIN / IS NULL) is best to select values present in one table but missing in another one?

This:

SELECT  l.*
FROM    t_left l
LEFT JOIN
t_right r
ON      r.value = l.value
WHERE   r.value IS NULL

, this:

SELECT  l.*
FROM    t_left l
WHERE   l.value NOT IN
(
SELECT  value
FROM    t_right r
)

or this:

SELECT  l.*
FROM    t_left l
WHERE   NOT EXISTS
(
SELECT  NULL
FROM    t_right r
WHERE   r.value = l.value
)

Differences between the methods

These methods are quite different.

First of all, LEFT JOIN / IS NULL and NOT EXISTS are semantically equivalent, while NOT IN is not. These method differ in how they handle NULL values in t_right

LEFT JOIN is guaranteed to return every row from t_left, and then filtering is applied to the values returned from t_right. If for some row in t_left there is no corresponding row in t_right (which means no row with that exact value is present in t_right), the row from t_left will be returned once, and the NULL values will be substituted instead of t_right's actual values.

Since NULL values can never satisfy an equality JOIN condition, the NULL values returned by the query are guaranteed to be substituted by the LEFT JOIN, not fetched out of the actual t_right's row. This means that LEFT JOIN / IS NULL is guaranteed to return at most one row from t_left, and these row's value is not equal to one of those in t_right.

The same holds for NOT EXISTS. Since it's a predicate, not a JOIN condition, the rows from t_left can only be returned at most once too. EXISTS always returns TRUE or FALSE and it will return TRUE as soon as it finds only a single matching row in t_right, or FALSE, if it find none.

NOT EXISTS, therefore, will return TRUE only if no row satisfying the equality condition is found in t_right (same as for LEFT JOIN / IS NULL).

Note that NULL values do not safisfy the equality conditions, so both LEFT JOIN / IS NULL and NOT EXISTS will always return rows from t_left that have value set to NULL, even is there are rows with value IS NULL in t_right.

NOT IN, however, behaves differently.

IN predicate (unlike EXISTS) is trivalent, i. e. it can return TRUE, FALSE or NULL:

  • TRUE is returned when the non-NULL value in question is found in the list
  • FALSE is returned when the non-NULL value is not found in the list and the list does not contain NULL values
  • NULL is returned when the value is NULL, or the non-NULL value is not found in the list and the list contains at least one NULL value

IN predicate does not give a definitive answer to whether or not the expression is contained in the list as long as there are NULL values on either side of the expression, returning NULL instead.

This of course makes no difference when using the positive form of NULL: predicates returning NULL are filtered out by the WHERE clause as well as those returning FALSE.

However, NOT IN is different, since negation of NULL is NULL as well.

That's why NOT IN condition will never hold for any list with a NULL value in it.

  • If a row is found in the list, IN will return TRUE and NOT IN, therefore, will return FALSE
  • If a row is not found in the list, IN will return NULL, and NOT IN on its turn will also return NULL

Both conditions will of course be filtered out by the WHERE clause.

Let's illustrate it with two simple queries that compare (1, NULL) in t_left with (2, NULL) in t_right:

WITH    t_left AS
(
SELECT  1 AS value
UNION ALL
SELECT  NULL
),
t_right AS
(
SELECT  2 AS value
UNION ALL
SELECT  NULL
)
SELECT  l.*
FROM    t_left l
WHERE   NOT EXISTS
(
SELECT  NULL
FROM    t_right r
WHERE   r.value = l.value
)

value
1
NULL
2 rows fetched in 0.0001s (0.0006s)

This query, using NOT EXISTS, returns both values from t_left, since neither of them is equal to any of the values from t_right.

WITH    t_left AS
(
SELECT  1 AS value
UNION ALL
SELECT  NULL
),
t_right AS
(
SELECT  2 AS value
UNION ALL
SELECT  NULL
)
SELECT  l.*
FROM    t_left l
WHERE   l.value NOT IN
(
SELECT  value
FROM    t_right
)

value
0 rows fetched in 0.0001s (0.0005s)

This query, on the other hand, returns nothing. Since there is a NULL in t_right, NOT IN returns NULL rather than TRUE if the value is not found among the defined values. Just in case.

IN (and NOT IN) are too chicken to say something definite about lists with NULL unless they are completely sure that the value is there.

However, if the values in both tables are non-nullable, NULL, all three method describe above are semantically identical.

Read the rest of this entry »

Written by Quassnoi

September 15th, 2009 at 11:00 pm

Posted in SQL Server