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MySQL和PostgreSQL导入数据对比_MySQL

MySQL和PostgreSQL导入数据对比
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
吐了个 "CAO" !
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