Original post: http://anothermysqldba.blogspot.com/2013/05/load-data-example.html
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CREATE TABLE `example` (
`Id` int(11) NOT NULL AUTO_INCREMENT,
`Column2` varchar(14) NOT NULL,
`Column3` varchar(14) NOT NULL,
`Column4` varchar(14) NOT NULL,
`Column5` DATE NOT NULL,
PRIMARY KEY (`Id`)
) ENGINE=InnoDB
Column1 Column2 Column3 Column4 Column5
1 A Foo sdsdsd 4/13/2013
2 B Bar sdsa 4/12/2013
3 C Foo wewqe 3/12/2013
4 D Bar asdsad 2/1/2013
5 E FOObar wewqe 5/1/2013
# more /tmp/example.csv
Column1,Column2,Column3,Column4,Column5
1,A,Foo,sdsdsd,4/13/2013
2,B,Bar,sdsa,4/12/2013
3,C,Foo,wewqe,3/12/2013
4,D,Bar,asdsad,2/1/2013
5,E,FOObar,wewqe,5/1/2013
> LOAD DATA LOCAL INFILE '/tmp/example.csv'
-> INTO TABLE example
-> FIELDS TERMINATED BY ','
-> LINES TERMINATED BY '\n'
-> IGNORE 1 LINES
-> (id, Column2, Column3,Column4, @Column5)
-> set
-> Column5 = str_to_date(@Column5, '%m/%d/%Y');
Query OK, 5 rows affected (0.04 sec)
Records: 5 Deleted: 0 Skipped: 0 Warnings: 0
> select * from example;
+----+---------+---------+---------+------------+
| Id | Column2 | Column3 | Column4 | Column5 |
+----+---------+---------+---------+------------+
| 1 | A | Foo | sdsdsd | 2013-04-13 |
| 2 | B | Bar | sdsa | 2013-04-12 |
| 3 | C | Foo | wewqe | 2013-03-12 |
| 4 | D | Bar | asdsad | 2013-02-01 |
| 5 | E | FOObar | wewqe | 2013-05-01 |
+----+---------+---------+---------+------------+
5 rows in set (0.00 sec) PlanetMySQL Voting: Vote UP / Vote DOWN