MySQL和PostgreSQL导入数据对比_MySQL
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2022-03-10 18:21:08
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在虚拟机上测评了下MySQL 和 PostgreSQL 的各种LOAD FILE方式以及时间。 因为是虚拟机上的测评，所以时间只做参考，不要太较真, 看看就好了。
MySQL 工具：
PostgreSQL 工具：
测试表结构：
mysql> desc t1; +----------+-----------+------+-----+-------------------+-------+ | Field | Type | Null | Key | Default | Extra | +----------+-----------+------+-----+-------------------+-------+ | id | int(11) | NO | PRI | NULL | | | rank | int(11) | NO | | NULL | | | log_time | timestamp | YES | | CURRENT_TIMESTAMP | | +----------+-----------+------+-----+-------------------+-------+ 3 rows in set (0.00 sec) mysql> select count(*) from t1; +----------+ | count(*) | +----------+ | 1000000 | +----------+ 1 row in set (6.80 sec)
MySQL 工具：
PostgreSQL 工具：
测试表结构：
mysql> desc t1; +----------+-----------+------+-----+-------------------+-------+ | Field | Type | Null | Key | Default | Extra | +----------+-----------+------+-----+-------------------+-------+ | id | int(11) | NO | PRI | NULL | | | rank | int(11) | NO | | NULL | | | log_time | timestamp | YES | | CURRENT_TIMESTAMP | | +----------+-----------+------+-----+-------------------+-------+ 3 rows in set (0.00 sec) mysql> select count(*) from t1; +----------+ | count(*) | +----------+ | 1000000 | +----------+ 1 row in set (6.80 sec)
MySQL 自身的loader: （时间24妙）mysql> load data infile '/tmp/t1.csv' into table t1 fields terminated by ',' enclosed by '"' lines terminated by '/r/n'; Query OK, 1000000 rows affected (24.21 sec) Records: 1000000 Deleted: 0 Skipped: 0 Warnings: 0
MySQL python 脚本：（时间23秒）>>>MySQL 自带mysqlimport：（时间23秒）[root@mysql56-master ~]# time mysqlimport t_girl '/tmp/t1.csv' --fields-terminated-by=',' --fields-enclosed-by='"' --lines-terminated-by='/r/n' --use-threads=2 -uroot -proot t_girl.t1: Records: 1000000 Deleted: 0 Skipped: 0 Warnings: 0 real 0m23.664s user 0m0.016s sys 0m0.037s
PostgreSQL 自身COPY：（时间7秒）t_girl=# copy t1 from '/tmp/t1.csv' with delimiter ','; COPY 1000000 Time: 7700.332 ms
Psycopg2 驱动copy_to方法：（时间6秒）[root@postgresql-instance scripts]# python load_data.py Running 5.969 Seconds.
Pgloader 导入CSV：（时间33秒）[root@postgresql-instance ytt]# pgloader commands.load table name read imported errors time ytt.t1 1000000 1000000 0 33.514s ------------------------------ --------- --------- --------- -------------- ------------------------------ --------- --------- --------- -------------- Total import time 1000000 1000000 0 33.514s
Pgloader 直接从MySQL 拉数据：（时间51秒）[root@postgresql-instance ytt]# pgloader commands.mysql table name read imported errors time fetch meta data 2 2 0 0.138s ------------------------------ --------- --------- --------- -------------- t1 1000000 1000000 0 51.136s ------------------------------ --------- --------- --------- -------------- ------------------------------ --------- --------- --------- -------------- ------------------------------ --------- --------- --------- -------------- Total import time 1000000 1000000 0 51.274s
附上commands.load和commands.mysql
commands.load:LOAD CSV FROM '/tmp/ytt.csv' WITH ENCODING UTF-8 ( id, rank, log_time ) INTO postgresql://t_girl:t_girl@127.0.0.1:5432/t_girl?ytt.t1 WITH skip header = 0, fields optionally enclosed by '"', fields escaped by backslash-quote, fields terminated by ',' SET work_mem to '32 MB', maintenance_work_mem to '64 MB'; commands.mysql:LOAD DATABASE FROM mysql://python_user:python_user@192.168.1.131:3306/t_girl?t1 INTO postgresql://t_girl:t_girl@127.0.0.1:5432/t_girl?ytt.t1 with data only SET maintenance_work_mem to '64MB', work_mem to '3MB', search_path to 'ytt';附pgloader 手册：http://pgloader.io/howto/pgloader.1.html