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EAN-130024851000088   EAN-13 barcode 0024851000088
UPC-A024851000088   UPC-A barcode 024851000088
UPC-E02485188   UPC-E barcode 02485188
BrandMarks and Spencer
Product NameLadies M&s 2 Pairs Blue Cheeky Brazilian Knickers Size Uk 14 Eur 42
CategoryClothing
Short DescriptionWe provide authentic sports collectibles obtained from the athletes and celebrities, during private signings and major sports or entertainment events. We stock a broad range of autographs and memorabilia from the biggest stars. We pride ourselves on
Model248518
Created06-19-2021 11:13:38pm
Modified06-19-2021 11:14:35pm
MD51e2207991cfcbbe54bae6c000e39e7cb
SHA2560c260d24af323419c2cca13f3d33c34b5c70cdf39aac422fb9ad0c2b68bbf7df
Search Googleby EAN or by Title
Query Time0.0052099

Article of interest

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.

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