Instead, below we’ll briefly explore how to use the MySQL engine itself to perform this task, only grabbing records that you desire while excluding those with pesky NULL columns in the mix.
IS NOT NULL Comparison Operator
By far the simplest and most straightforward method for ensuring a particular column’s result set doesn’t contain NULL values is to use the IS NOT NULL comparison operator.
For example, if we want to select all records in our books table where the primary_author column is not NULL, the query might look like this:
SELECT
primary_author,
published_date,
title
FROM
books
WHERE
primary_author IS NOT NULL;
Since
IS NOT NULL
behaves just like any other comparator, it can be combined with other WHERE
clauses to further filter results, just as if you were using =
, >
, <
, LIKE
and other standard comparison operators.FILTERING NULL FROM MULTIPLE COLUMNS
In some cases you may desire to retrieve results where no
NULL
values are present across multiple columns. For example, we have some records in the books
table:id | title | primary_author | published_date
1 | The Hobbit | Tolkien | 09-21-1937
2 | The Silmarillion | Tolkien | 09-15-1977
3 | The Name of the Wind | Rothfuss | 03-27-2007
4 | The Wise Man's Fear | Rothfuss | 03-01-2011
5 | The Doors of Stone | Rothfuss | NULL
6 | Beowulf | NULL | 01-01-1000
Take note that The Doors of Stone (
id 5
) is unpublished and therefore the published_date
is NULL
. Similarly, Beowulf (id 6
) – the famous Old English epic poem – has no known author, so primary_author
is NULL
.In this case, we may want to query for results containing only the first fourrecords, thereby excluding the final two records which have
NULL
values in either primary_author
or published_date
. This can be performed with this simple statement using AND
with multiple comparison operators:SELECT
primary_author,
published_date,
title
FROM
books
WHERE
(
primary_author IS NOT NULL
AND
published_date IS NOT NULL
);
Note: The parentheses are not required but it’s good practice to enclose grouped comparators for better readability.
There you have it; a simple comparison operator that can be used to filter out any and all
NULL
values in your records.mysql select not null column, mysql select not null example, mysql select not null or empty
Source: http://docphy.com/technology/computers/software/select-records-no-null-values-mysql.html
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