Reputation: 6405
ALTER TABLE customers ADD split INT(1);
10 mil. records... I performed this command for 1 hour and still loading ..is there any way to make it finish faster ?
Upvotes: 3
Views: 2332
Reputation: 16569
The following is pretty quick, takes a little over 6 minutes with 10 million rows but the example table has fewer fields and indexes than your production table so expect it to take a little longer in your case if you decide to use it !
Note: the example was done on windows OS so you'll have to change pathnames and \r\n to \n to conform to linux standards !
Here's my existing table (InnoDB engine):
drop table if exists customers;
create table customers
(
customer_id int unsigned not null auto_increment primary key,
name varchar(255) not null,
country_id tinyint unsigned not null default 0,
key (country_id)
)
engine=innodb;
mysql> select count(*) from customers;
+----------+
| count(*) |
+----------+
| 10000000 |
+----------+
1 row in set (1.78 sec)
Create a new version of the table which includes the new field you require:
drop table if exists customers_new;
create table customers_new
(
customer_id int unsigned not null auto_increment primary key,
name varchar(255) not null,
country_id tinyint unsigned not null default 0,
split tinyint not null default 0,
key (country_id)
)
engine=innodb;
Find the location of your Uploads folder:
select @@secure_file_priv;
Export the data in PK order from the old customer table into csv format:
select * into outfile 'C:\\ProgramData\\MySQL\\MySQL Server 8.0\\Uploads\\customers.dat'
fields terminated by '|' optionally enclosed by '"'
lines terminated by '\r\n'
from customers order by customer_id;
Query OK, 10000000 rows affected (17.39 sec)
Load the customer.dat file into the new customer table:
truncate table customers_new;
set autocommit = 0;
load data infile 'C:\\ProgramData\\MySQL\\MySQL Server 8.0\\Uploads\\customers.dat'
into table customers_new
fields terminated by '|' optionally enclosed by '"'
lines terminated by '\r\n'
(
customer_id,
name,
country_id,
@dummy -- represents the new split field
)
set
name = nullif(name,'');
commit;
Query OK, 10000000 rows affected (6 min 0.14 sec)
Confirm that the new table looks okay:
select * from customers_new order by customer_id desc limit 1;
+-------------+-------------------+------------+-------+
| customer_id | name | country_id | split |
+-------------+-------------------+------------+-------+
| 10000000 | customer 10000000 | 218 | 0 |
+-------------+-------------------+------------+-------+
1 row in set (0.00 sec)
insert into customers_new (name, country_id, split) values ('f00',1,1);
Query OK, 1 row affected (0.07 sec)
select * from customers_new order by customer_id desc limit 1;
+-------------+------+------------+-------+
| customer_id | name | country_id | split |
+-------------+------+------------+-------+
| 10000001 | f00 | 1 | 1 |
+-------------+------+------------+-------+
1 row in set (0.00 sec)
Drop the old table and rename new one:
drop table customers;
Query OK, 0 rows affected (0.18 sec)
rename table customers_new to customers;
Query OK, 0 rows affected (0.05 sec)
select * from customers order by customer_id desc limit 1;
+-------------+------+------------+-------+
| customer_id | name | country_id | split |
+-------------+------+------------+-------+
| 10000001 | f00 | 1 | 1 |
+-------------+------+------------+-------+
1 row in set (0.00 sec)
That's all folks !
Upvotes: 7
Reputation: 26177
Probably not by code..
Close all other apps, make sure nothing else is taking up your cpu usage, no malware? get a faster computer?
It would help if you could tell us the environment setup you're working with and such. It could be a number of things involving your network, your server, etc, as well.
Upvotes: 1