Reputation: 1010
I have a table with more than 20 million rows in Innodb.
the columns are
id, viewable_id, visitor, viewed_at
where the viewable_id
and viewed_at
are indexes.
when I do the below query
SELECT COUNT(*)
FROM views_users
WHERE (viewable_id = 2)
and (viewed_at between '2021-04-19 01:38:37'
and '2021-06-30 01:38:37');
=> take (3 min 6.72 sec)
the explain is
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------------+------------+------+-----------------------------------------------------------+-------------------------------+---------+-------+---------+----------+-------------+
| 1 | SIMPLE | views_users | NULL | ref | views_users_viewable_id_index,views_users_viewed_at_index | views_users_viewable_id_index | 8 | const | 9554594 | 50.00 | Using where
How can I increase the performance to reach less than 4 seconds?
CREATE TABLE views_users (
id int unsigned NOT NULL AUTO_INCREMENT,
viewable_type varchar(255) NOT NULL,
viewable_id bigint unsigned NOT NULL,
visitor text,
collection varchar(255) DEFAULT NULL,
viewed_at timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (id),
KEY user_id (viewable_id)
) ENGINE=InnoDB AUTO_INCREMENT=20995848
DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci
Upvotes: 2
Views: 841
Reputation: 1010
I increase the performance to take less than 2 seconds by applying MySQL partiotons.
I used partition by range using the viewed_at
column. change viewed_at
type from timestamp
to datatime
and made it as primary key with id
.
make a cronjob runs on first day of each month that reorganize last partition into another partitions and so on.
Upvotes: 2
Reputation: 1270593
For this query:
SELECT COUNT(*)
FROM views_users
WHERE viewable_id = 2 and
viewed_at between '2021-04-19 01:38:37' and '2021-06-30 01:38:37';
You can create an index:
CREATE INDEX idx_views_users_viewable_id_viewed_at ON views_users(viewable_id, viewed_at);
Upvotes: 0