When to use NULL in MySQL tables

Question

I appreciate the semantic meaning of a NULL value in a database table, different from both false and the empty string \'\'. However, I have often read about performance pro

Answer 1

The MySQL manual actually has a nice article about the problems with NULL.

Hope it helps.

Also found this other SO post about NULL and Performance

Answer 2

We don't allow NULL values in our databases unless it's for numeric values, or for dates. The reason why we do this is because numeric values sometimes should not be defaulted to zero as this is very, very bad. I'm a developer for a stock brokers and there's a big, big difference between NULL and 0. The use of COALESCE comes in handy if we do want to default values back to zero even though we don't store them as such.

MyVal = COALESCE(TheData, 0)

As we do bulk inserts of data from flat files we use format files to determine the entry of the data which automagically converts empty values into blank strings anyway.

Dates default to whatever value may appear dependant on the collation I believe, but ours default to something like 1900, and again, dates are extremely important. Other plain text values aren't so important, and if left blank typically qualify as okay.

Answer 3

Any self-respecting database engine these days should offer no penalty for properly using NULLs, unless your query is not designed correctly (which is usually not a problem you'll have very often with regard to NULLs).

You should pay first attention to using the database (including NULLs) as intended; then worry about the optimizatin consequences when and if they occur.

The cumulative effect of improperly NULLed column values in both SQL complexity and accuracy will almost surely outweigh the benefits of fooling with Mother DBMS. Besides, it will mess up your head, as well as that of anyone later who tries to figure out what you were trying to do.

Answer 4

On some databases like Oracle, may be somethinkg on MySQL is true:

• Nulls are not indexed, then if looking for null values can be bottleneck.
• Trailing nulls on rows save space.

Answer 5

However, I have often read about performance problems when fields are nullable and been advised to use an empty string in cases where NULL is actually semantically correct.

I'm going to be nit-picky about word choice for a moment:

• Even if it were a significant performance factor, that doesn't make it semantically correct to use a value instead of NULL. In SQL, NULL has a semantic role, to denote a missing or inapplicable value. The performance characteristics of NULL in a given RDBMS implementation are independent of this. The performance may vary from brand to brand or from version to version, but the purpose of NULL in the language is consistent.

In any case, I have not heard of any evidence that NULL performs poorly. I'd be interested in any references to performance measurements that show nullable columns perform worse than non-nullable columns.

I'm not saying I'm not wrong or that it can't be true in some cases -- just that it's not meaningful to make idle suppositions. Science is not made up of conjecture; one has to show evidence with repeatable measurements.

Metrics also tell you by how much the performance differs, so you can make a judgment about whether it's something to worth worrying about. That is, the impact could be measurable and nonzero, but still insignificant compared to greater performance factors, such as properly indexing tables or sizing your database cache.

In MySQL, searches for NULL can benefit from an index:

mysql> CREATE TABLE foo (
  i INT NOT NULL,
  j INT DEFAULT NULL,
  PRIMARY KEY (i),
  UNIQUE KEY j_index (j)
);

mysql> INSERT INTO foo (i, j) VALUES 
  (1, 1), (2, 2), (3, NULL), (4, NULL), (5, 5);

mysql> EXPLAIN SELECT * FROM foo WHERE i = 3;
+----+-------------+-------+-------+---------------+---------+---------+-------+------+-------+
| id | select_type | table | type  | possible_keys | key     | key_len | ref   | rows | Extra |
+----+-------------+-------+-------+---------------+---------+---------+-------+------+-------+
|  1 | SIMPLE      | foo   | const | PRIMARY       | PRIMARY | 4       | const |    1 |       | 
+----+-------------+-------+-------+---------------+---------+---------+-------+------+-------+

mysql> EXPLAIN SELECT * FROM foo WHERE j IS NULL;
+----+-------------+-------+------+---------------+---------+---------+-------+------+-------------+
| id | select_type | table | type | possible_keys | key     | key_len | ref   | rows | Extra       |
+----+-------------+-------+------+---------------+---------+---------+-------+------+-------------+
|  1 | SIMPLE      | foo   | ref  | j_index       | j_index | 5       | const |    2 | Using where | 
+----+-------------+-------+------+---------------+---------+---------+-------+------+-------------+

Note that's still not a measurement of performance. I've only shown that you can use an index while searching for NULL. I'm going to assert (admittedly without having measured, but hey this is just StackOverflow) that the benefit of an index overshadows any possible penalty when searching for NULL versus a blank string.

It's not a correct design decision to choose zero or blank or any other value to substitute for NULL. You may need to use those values as significant in the column. That's why NULL exists, as a value that is by definition outside the domain of values of any data type, so you can use the full range of values of integers or strings or whatever and still have something to signify "none of the above values."

Answer 6

I understand that there are times when MySQL's NULL semantics are entirely appropriate.

That said, they do seriously get in the way, particularly with text fields.

Here's a real world example.

We wish to copy data from a FileMaker database into a mysql table.

if we do "SELECT * from table where textfield <> 'test'", rows that have textfield of NULL will NOT be returned. This is most likely not what you expected or desired.

if a field that is nullable is used in a where query, either alone or as part of an AND, entries that are NULL will NEVER be returned unless the IS NULL test used. We must do something like "where ((textfield<>"test") OR (textfield IS NOT NULL))" which is ugly at best.

So in this case, we probably do not want the field nullable.

The problem here is that you CANNOT insert an empty string into MySQL using Filemaker. It gets converted to NULL, which errors out if you made the column not null! If you do allow NULL, then the transfer to mysql works, but then your not queries fail to act the way you want!

the workaroud is to alter table twice, to convert the existing nulls after the import to empty string, then alter the table back to once again allow null. youch!

damn filemaker.