MySQL和PostgreSQL导入数据对比_MySQL

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：
1. 自带mysqlimport工具。
2. 命令行 load data infile ...
3. 利用mysql-connector-python Driver来写的脚本。
PostgreSQL 工具：
1. pgloader 第三方工具。
2. 命令行 copy ... from ...
3. 利用psycopg2写的python 脚本。
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)

测试CSV文件：
t1.csv
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: 1000000Deleted: 0Skipped: 0Warnings: 0

MySQL python 脚本：（时间23秒）
>>>
Running 23.289 Seconds
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 -proott_girl.t1: Records: 1000000Deleted: 0Skipped: 0Warnings: 0real0m23.664suser0m0.016ssys 0m0.037s

PostgreSQL 自身COPY：（时间7秒）

t_girl=# copy t1 from '/tmp/t1.csv' with delimiter ',';COPY 1000000Time: 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.loadtable name read imported errorstimeytt.t1100000010000000 33.514s---------------------------------------------------------------------------------------------------------------------------------------------- Total import time100000010000000 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 errorstime fetch meta data2200.138s-----------------------------------------------------------------------	t1100000010000000 51.136s--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Total import time100000010000000 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.t1WITH 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.t1with data onlySET maintenance_work_mem to '64MB',	work_mem to '3MB',	search_path to 'ytt';附pgloader 手册：http://pgloader.io/howto/pgloader.1.html