EAN-13	0000000000048
UPC-A	000000000048
UPC-E	00000408
Product Name	Elmo And Cookie Monster Giggler Talking Shake-Up Ball
Language	English
Category	Home: Kitchen / Laundry
Amazon.com	Buy on Amazon ~ B0015Z5YW8
Model	H9189
Price New	20.99 US Dollars    (curriencies)
Binding	Toy
Features	Squeeze them to make the giggle, shake, talk! Soft and plush! All ages! Surface washable! Made in 2005
Long Description	Babies will have fun with these two characters! It is about 6" high. A fun toy. Surface wash. Made in 2005 in China
Created	06-08-2013 12:24:42am
Modified	05-30-2017 3:18:05pm
MD5	b10c5db9bf6f0a6213ec38721a544655
SHA256	6e3cfa02682550201bf3f92bec7394825671b5498f7738b773a6b50cf204af29
Search Google	by EAN or by Title
Query Time	0.0013421

Here we will demonstrate the most basic example of importing the CSV data files that we produce on this site into your MySQL database.

For information about various databases you can use and how to import CSV files into them, please view the overview article "Importing CSV data into your database".

For this example, we are going to import the product data CSV file out of the sample_ean_data.zip but this same process will work on the full data download file. We will also be executing the commands in the MySQL Workbench but you can also use the command line tool with the same commands if you like.

First, start by creating a blank table. Use the table layout described in the read_me file for the most up-to-date table layout. It is suggested that you not use any indexing at this point. You can add indexes later. It is most likely that you will have your own tables where you want to store your data so importing the CSV files can be done into temporary tables and then later copied over to your tables. Leaving off the indexes and constraints on these import tables reduces the risk of import errors. Here is an example:

create table ean_product
(
    EAN13             varchar(13),
    UPCA              varchar(12),
    UPCE              varchar(8),
    SKU               varchar(200),
    PriceNew          numeric(15,2),
    PriceUsed         numeric(15,2),
    PriceDate         date,
    company           varchar(13),
    product           varchar(100),
    description       varchar(100),
    category          int,
    url               varchar(500),
    created           datetime,
    modified          datetime
);


Next we perform the import using the LOAD DATA INFILE command. The path to the file depends on where you saved the data and which operating system you are on. For Windows users you might find your file on the C: drive and Linux users may find your date in your home (~) folder. This example shows a Linux import. Only the path would be different between the operating systems.

LOAD DATA LOCAL
    INFILE '~/sample_ean_data/sample_ean_product.csv' 
    INTO TABLE ean_product
    FIELDS TERMINATED BY ',' ENCLOSED BY '"' ESCAPED BY '\\'
    LINES TERMINATED BY '\r\n'
    IGNORE 1 LINES;


Finally, lets look at the data that we just imported.

SELECT * FROM EAN_PRODUCT;


You may have seen some warnings after the import command. If you are concerned about these warnings, examine the data. It could be that some data has grown beyond the size specified in the read_me file. If you are worried, make the fields larger and try the process again after deleting all of the data out of the table.