Image
EAN-13	0000015142238
UPC-A	000015142238
Product Name	Jenn-Air 7003 Compatible Refrigerator Water Filter 2 Pack
Category	Home: Kitchen / Laundry
Short Description	Each
Amazon.com	Buy on Amazon ~ B003BQQTJQ
Binding	Water Filters
Long Description	This filter keeps a healthy level of fluoride (a water additive that promotes strong teeth), Reduces Chlorine, Atrazine, Lindane, Lead, Turbidity, and Cysts. It is recommended that you replace your water filters every 6 to 8 months. Our filters are guaranteed to last for at least 8 months or your money back! Carries WQA Gold Seals, ANSI 42 Certified:Certified Green Product and Ready to Install. High Quality, Cost-Effective Alternative to Factory Original. Lifetime Shelf Life! 6 Month Warranty After Initial Use! No Hassle Return Policy! Sealed and Ready to Install! No Tools.
Created	07-01-2006
Modified	09-26-2018 8:37:53pm
MD5	371ee2e0a2db503535264f0ef30c5802
SHA256	be4111c49d3d054eeaf9bbfcc2bf25112e10f17d103cf848867fd3b8d3f53451
Search Google	by EAN or by Title
Query Time	0.0053201

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.