csv2mysql.py automatically parses a CSV file, creates MySQL table with appropriate field types, and then writes CSV data to the table.
Here are the available options: :
$ python csv2mysql.py -h
usage: csv2mysql.py [-h] [--table TABLE] [--database DATABASE] [--user USER]
[--password PASSWORD] [--host HOST]
input_file
Automatically insert CSV contents into MySQL
positional arguments:
input_file The input CSV file
optional arguments:
-h, --help show this help message and exit
--table TABLE Set the name of the table. If not set the CSV filename
will be used
--database DATABASE Set the name of the database. If not set the test
database will be used
--user USER The MySQL login username
--password PASSWORD The MySQL login password
--host HOST The MySQL host
Here is an example spreadsheet: :
Name Age Height DOB Active
John 29 180.3 1980-11-20 12:30:20
Sarah 25 174.5 1990-01-01 07:12:32
Peter 45 156.4 1965-05-02 23:09:33
And now run the script: :
$ python csv2mysql.py --user=root --password=password --database=test --table=test test.csv
Importing `test.csv' into MySQL database `test.test'
Analyzing column types ...
['varchar(255)', 'integer', 'double', 'date', 'time']
Inserting rows ...
Committing rows to database ...
Done!
Now check the results in MySQL: :
$ mysql -uroot -p test
mysql> describe test;
+--------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+--------+--------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| name | varchar(255) | YES | | NULL | |
| age | int(11) | YES | | NULL | |
| height | double | YES | | NULL | |
| dob | date | YES | | NULL | |
| active | time | YES | | NULL | |
+--------+--------------+------+-----+---------+----------------+
6 rows in set (0.01 sec)
mysql> SELECT * FROM test;
+----+-------+------+--------+------------+----------+
| id | name | age | height | dob | time |
+----+-------+------+--------+------------+----------+
| 1 | John | 29 | 180.3 | 30-10-1980 | 12:30:20 |
| 2 | Sarah | 25 | 174.5 | 01-01-1990 | 07:12:32 |
| 3 | Peter | 45 | 156.4 | 22-05-1965 | 23:09:33 |
+----+-------+------+--------+------------+----------+
3 rows in set (0.00 sec)
As you can see above the name has been stored as a varchar, age as an int, height as a double, dob as a date, and active as a time type.
$ pip install MySQLdb