MySQL Very Slow Performance Using Order by Clause#1093 - You can't specify target table 'R' for update in...
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MySQL Very Slow Performance Using Order by Clause
#1093 - You can't specify target table 'R' for update in FROM clauseSimple query is slow on 4M-rows tableMySQL : Avoid Temporary/Filesort Caused by GROUP BY Clause in ViewsIs a update-only-once-row table worth sharding?Optimizing a simple query on a large tableMySQL query taking too longError in creating table in MySQL v5.5.45 - Invalild default value for columnselect MAX() from MySQL view (2x INNER JOIN) is slowWhy is this query with WHERE, ORDER BY and LIMIT so slow?What does 'innodb_buffer_pool_reads' and 'innodb_buffer_pool_read_requests' actually mean?
I have a one table with millions of entry.Below is table structure.
CREATE TABLE `useractivity` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`userid` bigint(20) NOT NULL,
`likes` bigint(20) DEFAULT NULL,
`views` bigint(20) DEFAULT NULL,
`shares` bigint(20) DEFAULT NULL,
`totalcount` bigint(20) DEFAULT NULL,
`status` bigint(20) DEFAULT NULL,
`createdat` timestamp NULL DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
KEY `userid` (`userid`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
And Below is query in which I am getting slow performance.
SELECT userid,
(sum(likes)+SUM(views)+SUM(shares)+SUM(totalcount)+SUM(`status`)) as total
from useractivity
GROUP BY userid
ORDER BY total DESC
limit 0, 20;
When I am executing above query without ORDER BY
then it gives me fast result set But when using ORDER BY
then this query became slow,though I used limit for pagination.
What can I do to speed up this query?
mysql query-performance group-by order-by
bumped to the homepage by Community♦ 4 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
I have a one table with millions of entry.Below is table structure.
CREATE TABLE `useractivity` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`userid` bigint(20) NOT NULL,
`likes` bigint(20) DEFAULT NULL,
`views` bigint(20) DEFAULT NULL,
`shares` bigint(20) DEFAULT NULL,
`totalcount` bigint(20) DEFAULT NULL,
`status` bigint(20) DEFAULT NULL,
`createdat` timestamp NULL DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
KEY `userid` (`userid`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
And Below is query in which I am getting slow performance.
SELECT userid,
(sum(likes)+SUM(views)+SUM(shares)+SUM(totalcount)+SUM(`status`)) as total
from useractivity
GROUP BY userid
ORDER BY total DESC
limit 0, 20;
When I am executing above query without ORDER BY
then it gives me fast result set But when using ORDER BY
then this query became slow,though I used limit for pagination.
What can I do to speed up this query?
mysql query-performance group-by order-by
bumped to the homepage by Community♦ 4 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
1
With the order by for total it needs to calculate the total for all users before the first 20 can be chosen. Without the order by any 20 users can be returned
– Lennart
Aug 3 '18 at 18:04
Please don't cross post.
– sticky bit
Aug 3 '18 at 18:33
2
Off topic, but why isn't userid unique? Furthermore, why are likes, views, shares, etc nullable. Should they not be DEFAULT 0 NOT NULL?
– Lennart
Aug 3 '18 at 20:25
nothing is going to make that query fast, you will need to use a different query
– Jasen
Aug 3 '18 at 20:53
@Jasen.any query in your mind that give me faster performance?
– 5a01d01P
Aug 4 '18 at 5:10
add a comment |
I have a one table with millions of entry.Below is table structure.
CREATE TABLE `useractivity` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`userid` bigint(20) NOT NULL,
`likes` bigint(20) DEFAULT NULL,
`views` bigint(20) DEFAULT NULL,
`shares` bigint(20) DEFAULT NULL,
`totalcount` bigint(20) DEFAULT NULL,
`status` bigint(20) DEFAULT NULL,
`createdat` timestamp NULL DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
KEY `userid` (`userid`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
And Below is query in which I am getting slow performance.
SELECT userid,
(sum(likes)+SUM(views)+SUM(shares)+SUM(totalcount)+SUM(`status`)) as total
from useractivity
GROUP BY userid
ORDER BY total DESC
limit 0, 20;
When I am executing above query without ORDER BY
then it gives me fast result set But when using ORDER BY
then this query became slow,though I used limit for pagination.
What can I do to speed up this query?
mysql query-performance group-by order-by
I have a one table with millions of entry.Below is table structure.
CREATE TABLE `useractivity` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`userid` bigint(20) NOT NULL,
`likes` bigint(20) DEFAULT NULL,
`views` bigint(20) DEFAULT NULL,
`shares` bigint(20) DEFAULT NULL,
`totalcount` bigint(20) DEFAULT NULL,
`status` bigint(20) DEFAULT NULL,
`createdat` timestamp NULL DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
KEY `userid` (`userid`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
And Below is query in which I am getting slow performance.
SELECT userid,
(sum(likes)+SUM(views)+SUM(shares)+SUM(totalcount)+SUM(`status`)) as total
from useractivity
GROUP BY userid
ORDER BY total DESC
limit 0, 20;
When I am executing above query without ORDER BY
then it gives me fast result set But when using ORDER BY
then this query became slow,though I used limit for pagination.
What can I do to speed up this query?
mysql query-performance group-by order-by
mysql query-performance group-by order-by
edited Aug 5 '18 at 10:29
Husam Mohamed
4161313
4161313
asked Aug 3 '18 at 17:13
5a01d01P5a01d01P
61
61
bumped to the homepage by Community♦ 4 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
bumped to the homepage by Community♦ 4 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
1
With the order by for total it needs to calculate the total for all users before the first 20 can be chosen. Without the order by any 20 users can be returned
– Lennart
Aug 3 '18 at 18:04
Please don't cross post.
– sticky bit
Aug 3 '18 at 18:33
2
Off topic, but why isn't userid unique? Furthermore, why are likes, views, shares, etc nullable. Should they not be DEFAULT 0 NOT NULL?
– Lennart
Aug 3 '18 at 20:25
nothing is going to make that query fast, you will need to use a different query
– Jasen
Aug 3 '18 at 20:53
@Jasen.any query in your mind that give me faster performance?
– 5a01d01P
Aug 4 '18 at 5:10
add a comment |
1
With the order by for total it needs to calculate the total for all users before the first 20 can be chosen. Without the order by any 20 users can be returned
– Lennart
Aug 3 '18 at 18:04
Please don't cross post.
– sticky bit
Aug 3 '18 at 18:33
2
Off topic, but why isn't userid unique? Furthermore, why are likes, views, shares, etc nullable. Should they not be DEFAULT 0 NOT NULL?
– Lennart
Aug 3 '18 at 20:25
nothing is going to make that query fast, you will need to use a different query
– Jasen
Aug 3 '18 at 20:53
@Jasen.any query in your mind that give me faster performance?
– 5a01d01P
Aug 4 '18 at 5:10
1
1
With the order by for total it needs to calculate the total for all users before the first 20 can be chosen. Without the order by any 20 users can be returned
– Lennart
Aug 3 '18 at 18:04
With the order by for total it needs to calculate the total for all users before the first 20 can be chosen. Without the order by any 20 users can be returned
– Lennart
Aug 3 '18 at 18:04
Please don't cross post.
– sticky bit
Aug 3 '18 at 18:33
Please don't cross post.
– sticky bit
Aug 3 '18 at 18:33
2
2
Off topic, but why isn't userid unique? Furthermore, why are likes, views, shares, etc nullable. Should they not be DEFAULT 0 NOT NULL?
– Lennart
Aug 3 '18 at 20:25
Off topic, but why isn't userid unique? Furthermore, why are likes, views, shares, etc nullable. Should they not be DEFAULT 0 NOT NULL?
– Lennart
Aug 3 '18 at 20:25
nothing is going to make that query fast, you will need to use a different query
– Jasen
Aug 3 '18 at 20:53
nothing is going to make that query fast, you will need to use a different query
– Jasen
Aug 3 '18 at 20:53
@Jasen.any query in your mind that give me faster performance?
– 5a01d01P
Aug 4 '18 at 5:10
@Jasen.any query in your mind that give me faster performance?
– 5a01d01P
Aug 4 '18 at 5:10
add a comment |
2 Answers
2
active
oldest
votes
You'll need to store a total of likes
, shares
etc in the users
table. Use a generated column in the this table to come up with the total and make it indexed:
ALTER TABLE users
ADD likes BIGINT UNSIGNED NOT NULL,
ADD views BIGINT UNSIGNED NOT NULL,
ADD shares BIGINT UNSIGNED NOT NULL,
ADD totalcount BIGINT UNSIGNED NOT NULL,
ADD status BIGINT UNSIGNED NOT NULL,
ADD total BIGINT UNSIGNED GENERATED ALWAYS AS (likes + views + shares + totalcount + status),
ADD KEY key_total (total);
The query below will use the index:
explain SELECT id, total
FROM users
ORDER BY total DESC
LIMIT 0, 20;
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
| --- | ----------- | ----- | ---------- | ----- | ------------- | --------- | ------- | --- | ---- | -------- | ----------- |
| 1 | SIMPLE | users | | index | | key_total | 9 | | 1 | 100 | Using index |
https://dev.mysql.com/doc/refman/5.7/en/create-table-secondary-indexes.html
https://mariadb.com/kb/en/library/generated-columns/
add a comment |
Huh? What is the table for? Someone does a LIKE, so one more row is created, with a bunch of zeros and a 1, plus a timestamp?
Plan A: Increment a table with one row per user. Then no SUM()
is needed.
Plan B: Build and maintain a Summary Table. That way you could also get the number of Views (etc), by user, for a given day or week or whatever.
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
You'll need to store a total of likes
, shares
etc in the users
table. Use a generated column in the this table to come up with the total and make it indexed:
ALTER TABLE users
ADD likes BIGINT UNSIGNED NOT NULL,
ADD views BIGINT UNSIGNED NOT NULL,
ADD shares BIGINT UNSIGNED NOT NULL,
ADD totalcount BIGINT UNSIGNED NOT NULL,
ADD status BIGINT UNSIGNED NOT NULL,
ADD total BIGINT UNSIGNED GENERATED ALWAYS AS (likes + views + shares + totalcount + status),
ADD KEY key_total (total);
The query below will use the index:
explain SELECT id, total
FROM users
ORDER BY total DESC
LIMIT 0, 20;
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
| --- | ----------- | ----- | ---------- | ----- | ------------- | --------- | ------- | --- | ---- | -------- | ----------- |
| 1 | SIMPLE | users | | index | | key_total | 9 | | 1 | 100 | Using index |
https://dev.mysql.com/doc/refman/5.7/en/create-table-secondary-indexes.html
https://mariadb.com/kb/en/library/generated-columns/
add a comment |
You'll need to store a total of likes
, shares
etc in the users
table. Use a generated column in the this table to come up with the total and make it indexed:
ALTER TABLE users
ADD likes BIGINT UNSIGNED NOT NULL,
ADD views BIGINT UNSIGNED NOT NULL,
ADD shares BIGINT UNSIGNED NOT NULL,
ADD totalcount BIGINT UNSIGNED NOT NULL,
ADD status BIGINT UNSIGNED NOT NULL,
ADD total BIGINT UNSIGNED GENERATED ALWAYS AS (likes + views + shares + totalcount + status),
ADD KEY key_total (total);
The query below will use the index:
explain SELECT id, total
FROM users
ORDER BY total DESC
LIMIT 0, 20;
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
| --- | ----------- | ----- | ---------- | ----- | ------------- | --------- | ------- | --- | ---- | -------- | ----------- |
| 1 | SIMPLE | users | | index | | key_total | 9 | | 1 | 100 | Using index |
https://dev.mysql.com/doc/refman/5.7/en/create-table-secondary-indexes.html
https://mariadb.com/kb/en/library/generated-columns/
add a comment |
You'll need to store a total of likes
, shares
etc in the users
table. Use a generated column in the this table to come up with the total and make it indexed:
ALTER TABLE users
ADD likes BIGINT UNSIGNED NOT NULL,
ADD views BIGINT UNSIGNED NOT NULL,
ADD shares BIGINT UNSIGNED NOT NULL,
ADD totalcount BIGINT UNSIGNED NOT NULL,
ADD status BIGINT UNSIGNED NOT NULL,
ADD total BIGINT UNSIGNED GENERATED ALWAYS AS (likes + views + shares + totalcount + status),
ADD KEY key_total (total);
The query below will use the index:
explain SELECT id, total
FROM users
ORDER BY total DESC
LIMIT 0, 20;
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
| --- | ----------- | ----- | ---------- | ----- | ------------- | --------- | ------- | --- | ---- | -------- | ----------- |
| 1 | SIMPLE | users | | index | | key_total | 9 | | 1 | 100 | Using index |
https://dev.mysql.com/doc/refman/5.7/en/create-table-secondary-indexes.html
https://mariadb.com/kb/en/library/generated-columns/
You'll need to store a total of likes
, shares
etc in the users
table. Use a generated column in the this table to come up with the total and make it indexed:
ALTER TABLE users
ADD likes BIGINT UNSIGNED NOT NULL,
ADD views BIGINT UNSIGNED NOT NULL,
ADD shares BIGINT UNSIGNED NOT NULL,
ADD totalcount BIGINT UNSIGNED NOT NULL,
ADD status BIGINT UNSIGNED NOT NULL,
ADD total BIGINT UNSIGNED GENERATED ALWAYS AS (likes + views + shares + totalcount + status),
ADD KEY key_total (total);
The query below will use the index:
explain SELECT id, total
FROM users
ORDER BY total DESC
LIMIT 0, 20;
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
| --- | ----------- | ----- | ---------- | ----- | ------------- | --------- | ------- | --- | ---- | -------- | ----------- |
| 1 | SIMPLE | users | | index | | key_total | 9 | | 1 | 100 | Using index |
https://dev.mysql.com/doc/refman/5.7/en/create-table-secondary-indexes.html
https://mariadb.com/kb/en/library/generated-columns/
answered Aug 14 '18 at 6:05
danblackdanblack
1,9561213
1,9561213
add a comment |
add a comment |
Huh? What is the table for? Someone does a LIKE, so one more row is created, with a bunch of zeros and a 1, plus a timestamp?
Plan A: Increment a table with one row per user. Then no SUM()
is needed.
Plan B: Build and maintain a Summary Table. That way you could also get the number of Views (etc), by user, for a given day or week or whatever.
add a comment |
Huh? What is the table for? Someone does a LIKE, so one more row is created, with a bunch of zeros and a 1, plus a timestamp?
Plan A: Increment a table with one row per user. Then no SUM()
is needed.
Plan B: Build and maintain a Summary Table. That way you could also get the number of Views (etc), by user, for a given day or week or whatever.
add a comment |
Huh? What is the table for? Someone does a LIKE, so one more row is created, with a bunch of zeros and a 1, plus a timestamp?
Plan A: Increment a table with one row per user. Then no SUM()
is needed.
Plan B: Build and maintain a Summary Table. That way you could also get the number of Views (etc), by user, for a given day or week or whatever.
Huh? What is the table for? Someone does a LIKE, so one more row is created, with a bunch of zeros and a 1, plus a timestamp?
Plan A: Increment a table with one row per user. Then no SUM()
is needed.
Plan B: Build and maintain a Summary Table. That way you could also get the number of Views (etc), by user, for a given day or week or whatever.
answered Aug 21 '18 at 21:38
Rick JamesRick James
43.1k22259
43.1k22259
add a comment |
add a comment |
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1
With the order by for total it needs to calculate the total for all users before the first 20 can be chosen. Without the order by any 20 users can be returned
– Lennart
Aug 3 '18 at 18:04
Please don't cross post.
– sticky bit
Aug 3 '18 at 18:33
2
Off topic, but why isn't userid unique? Furthermore, why are likes, views, shares, etc nullable. Should they not be DEFAULT 0 NOT NULL?
– Lennart
Aug 3 '18 at 20:25
nothing is going to make that query fast, you will need to use a different query
– Jasen
Aug 3 '18 at 20:53
@Jasen.any query in your mind that give me faster performance?
– 5a01d01P
Aug 4 '18 at 5:10