Image
EAN-130008888527381   EAN-13 barcode 0008888527381
UPC-A008888527381   UPC-A barcode 008888527381
Product NameMarvel Avengers: Battle For Earth
CategoryElectronics / Photography: A/V Media: Video Game
Amazon.comA Buy on Amazon ~ B00821HMDM
SKU52738
Price New29.99 US Dollars    (curriencies)
Long DescriptionMarvel Avengers: Battle for Earth is the ultimate superhero brawler. It features 20 different characters, including Avengers such as Iron Man, Hulk, Captain America and Thor, as well as other fan-favorite Super Heroes and Super Villains from the Marvel Universe. Players will use motion gameplay to execute explosive super attacks, unleash devastating special moves and play with friends or against the AI in a wide variety of game modes.
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0047875771390: Teenage Mutant Ninja Turtles: Mutants in Manhattan - Xbox 360
Created11-22-2012 11:05:20pm
Modified05-04-2017 2:13:49pm
MD538e06895c00fc9f72a4dd1880c5ab3e2
SHA2567b7f5006d71d20f8ee9941116ce9d25e73ee1f8e19fcfadf0c17832e697f2c5c
Search Googleby EAN or by Title
Query Time0.0055370

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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