MySQL LOAD DATA INFILE can be used to load thousands or millions of records very quickly. Each row in a CSV text file will be created as a record in the database.
Let’s say a developer needs to load thousands of customer records from another system, and receives a CSV file representing the customer records. A couple of example records of customer data might look like this:
% cat customers.txt email@example.com,Bob Johnson firstname.lastname@example.org,Jane Doe
This example will use a database called
company_stuff and a table called
customers. The customers table has columns for email and full_name.
mysql> create database company_stuff; mysql> use company_stuff; mysql> CREATE TABLE customers ( id INT NOT NULL AUTO_INCREMENT PRIMARY KEY, email VARCHAR(100), full_name VARCHAR(100) ) ENGINE=InnoDB DEFAULT CHARSET=latin1;
Using LOAD DATA LOCAL INFILE it is possible to load these rows from the CSV file as records in the customers table. If the CSV file contains a header row that should be skipped at import time, add
IGNORE 1 LINES after the
LINES TERMINATED BY clause.
mysql> LOAD DATA LOCAL INFILE 'customers.txt' INTO TABLE customers FIELDS TERMINATED BY ',' ENCLOSED BY '"' LINES TERMINATED BY '\n' (email, full_name);
Verify the records were created.
mysql> select * from customers; +----+------------------+-------------+ | id | email | full_name | +----+------------------+-------------+ | 1 | email@example.com | Bob Johnson | | 2 | firstname.lastname@example.org | Jane Doe | +----+------------------+-------------+ 2 rows in set (0.00 sec)
Instead of loading customer records, what if the developer had to export customer data? MySQL has the ability to write the results of a SQL query to a file. By reading and writing data to and from a CSV file, large amounts of data can be manipulated very quickly. The SQL commands to interact with the data can be scripted from a language like Ruby to automate the process further.
To export the customer database to a file in the tmp directory
mysql> SELECT email, full_name INTO OUTFILE "/tmp/my_customers.txt" FIELDS TERMINATED BY ',' LINES TERMINATED BY '\n' FROM customers;
Finally, verify the contents in the new CSV file are the records from the customers table as follows:
% cat /tmp/my_customers.txt email@example.com,Bob Johnson firstname.lastname@example.org,Jane Doe