EAN-13	0767685159286
UPC-A	767685159286
Product Name	Coming Home For Christmas Hallmark dvd
Category	Electronics / Photography: A/V Media: Movie / TV
Amazon.com	Buy on Amazon ~ B07K1XLPQB
Price New	13.32 US Dollars    (curriencies)
Price Used	14.60 US Dollars    (curriencies)
Binding	Dvd
Long Description	Lizzie navigates a complicated love triangle when she lands a job at an exclusive estate in the Virginia countryside.
Similar Items	0767685160909: Marrying Mr. Darcy 0767685160893: All of My Heart The Wedding 0767685160589: Royal Matchmaker 0767685160572: Once Upon a Prince 0767685160435: Very, Very, Valentine 0767685160428: My Secret Valentine 0767685160268: Love on Safari 0767685160244: A Royal Winter 0767685159972: It's Christmas, Eve 0767685159279: Switched for Christmas
Created	12-29-2018 12:02:43am
Modified	07-11-2023 5:49:57pm
MD5	3994a7922fb2d057b06ad893781fef26
SHA256	ed776162141124571efe1e807c9a48207c6046329f10a576a049b0f7be6222e8
Search Google	by EAN or by Title
Query Time	0.0229678

Making use of the tools we offer

Importing our data into your MySQL database

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.