I have a MySQL 5.0 database with several tables containing over 50 million rows. But how do I know that? By running "SELECT COUNT (1) FROM foo", of course. This query in a single table containing 58.8M rows took 10 minutes !
mysql> SELECT COUNT(1) FROM large_table;
+----------+
| count(1) |
+----------+
| 58778494 |
+----------+
1 row in set (10 min 23.88 sec)
mysql> EXPLAIN SELECT COUNT(1) FROM large_table;
+----+-------------+-------------------+-------+---------------+----------------------------------------+---------+------+-----------+-------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------------------+-------+---------------+----------------------------------------+---------+------+-----------+-------------+
| 1 | SIMPLE | large_table | index | NULL | fk_large_table_other_table_id | 5 | NULL | 167567567 | Using index |
+----+-------------+-------------------+-------+---------------+----------------------------------------+---------+------+-----------+-------------+
1 row in set (0.00 sec)
mysql> DESC large_table;
+-------------------+---------------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-------------------+---------------------+------+-----+---------+----------------+
| id | bigint(20) unsigned | NO | PRI | NULL | auto_increment |
| created_on | datetime | YES | | NULL | |
| updated_on | datetime | YES | | NULL | |
| other_table_id | int(11) | YES | MUL | NULL | |
| parent_id | bigint(20) unsigned | YES | MUL | NULL | |
| name | varchar(255) | YES | | NULL | |
| property_type | varchar(64) | YES | | NULL | |
+-------------------+---------------------+------+-----+---------+----------------+
7 rows in set (0.00 sec)
All tables listed are InnoDB.
Any ideas why this is so slow, and how can I speed it up?
source
share