在虛擬機器上測評了下MySQL 和 PostgreSQL 的各種LOAD FILE方式以及時間。 因為是虛擬機器上的測評,所以時間只做參考,不要太較真, 看看就好了。
MySQL 工具:
1. 自帶mysqlimport工具。
2. 命令列 load data infile …
3. 利用mysql-connector-python Driver來寫的指令碼。
PostgreSQL 工具:
1. pgloader 第三方工具。
2. 命令列 copy … from …
3. 利用psycopg2寫的python 指令碼。
測試表結構:
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)
測試CSV檔案:
t1.csv
MySQL 自身的loader: (時間24妙)
mysql> load data infile `/tmp/t1.csv` into table t1 fields terminated by `,` enclosed by `"` lines terminated by ` `; Query OK, 1000000 rows affected (24.21 sec) Records: 1000000 Deleted: 0 Skipped: 0 Warnings: 0
MySQL python 指令碼:(時間23秒)
>>>
Running 23.289 Seconds
MySQL 自帶mysqlimport:(時間23秒)
[root@mysql56-master ~]# time mysqlimport t_girl `/tmp/t1.csv` --fields-terminated-by=`,` --fields-enclosed-by=`"` --lines-terminated-by=` ` --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:(時間7秒)
t_girl=# copy t1 from `/tmp/t1.csv` with delimiter `,`; COPY 1000000 Time: 7700.332 ms
Psycopg2 驅動copy_to方法:(時間6秒)
[root@postgresql-instance scripts]# python load_data.py Running 5.969 Seconds.
Pgloader 匯入CSV:(時間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 直接從MySQL 拉資料:(時間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 手冊:
http://pgloader.io/howto/pgloader.1.html