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EAN-130025293600577   EAN-13 barcode 0025293600577
UPC-A025293600577   UPC-A barcode 025293600577
BrandSilk
Product NameSilk Dha Omega-3 Soymilk
CategoryFood: Fruits / Vegetables: Fresh
Short Description64 fl oz
Web Link
Amazon.comA Buy on Amazon ~ B000QJDZ0C
Model025293600577
Width4 inches    (convert)
Height7.5 inches    (convert)
Length4 inches    (convert)
Weight445 hundredths pounds    (convert)
BindingGrocery
FeaturesSilk, Soy Milk Plus Omega-3 & DHA, Half Gallon, 64 oz
Long DescriptionSilk DHA Omega-3 Soymilk pours on all the goodness of Silk, with 32mg of DHA Omega-3—a valuable nutrient that helps support brain, heart and eye health. Every glass has 30% more calcium than dairy milk1 and is a good source of soy protein.
Created05-28-2007
Modified05-02-2020 12:24:17am
MD5060c12dc6392ade97233cb80d646cfca
SHA256a7ec2fe0e4594e2ea978d68237a48fb967abb2fd178de49898e7a5df0c792ebb
Search Googleby EAN or by Title
Query Time0.0178492

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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