Image
EAN-13	0717055282816
UPC-A	717055282816
Product Name	Energizer Max Alkaline 9 Volt Battery 522, 2-Count
Category	Bath / Beauty / Hygiene
Amazon.com	Buy on Amazon ~ B004R16728
Model	39800036780
Price New	6.77 US Dollars    (curriencies)
Width	3.69 inches    (convert)
Height	4.25 inches    (convert)
Length	0.68 inches    (convert)
Weight	3.36 ounces    (convert)
Binding	Health and Beauty
Published	03/03/2011
Features	Holds power for up to 10 years while in storage, so you have power when you need it Power seal technology is the energizer innovation that delivers energy you can rely on Up to 10-year shelf life means you'll always have power when you need it
Long Description	Max alkaline 9 volt batteries provide a long-lasting power source for such common workplace devices as calculators, pencil sharpeners, cameras, flashlights and portable tape recorders. Batteries are date-coded and 100 percent mercury-free.
Similar Items	0777785500451: Energizer Max Aaa Batteries, 16-Count 0677869104783: Kid Galaxy My First Rc Go Go Baja Buggy Pink 0640206501774: Energizer C-Cell (4 Count) 0039800117274: Lithium Coin Battery 4pk
Created	06-28-2017 4:30:55am
Modified	09-08-2017 2:14:58pm
MD5	2a5b7c6015409e8f9f2999cd3c54f22c
SHA256	d8e14c116836377d217d0b40f446696cfd80c066efdeda0eedb99ff88e5b8f8b
Search Google	by EAN or by Title
Query Time	0.0066130

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.