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EAN-130025274017042   EAN-13 barcode 0025274017042
UPC-A025274017042   UPC-A barcode 025274017042
Product Name32 Count, Green Mountain Breakfast Blend Decaf Vue Packs For Keurig Vue Brewers (2 - 16 Ct Vue Packs)
CategoryOffice / School Supplies
Amazon.comA Buy on Amazon ~ B00E3L9L1Q
Price New37.48 US Dollars    (curriencies)
BindingOffice Product
Features2 Boxes of 16 Count VUE Cups 16 Vue Cups Total Designed For Keurig Vue Brewers Only Will Not Work In Keurig K-Cup Brewers
Long DescriptionBreakfast Blend Decaf is a Green Mountain classic, lively, and vibrant New England breakfast cup. Breakfast Blend Decaf offers a snappy, crisp, and citrusy Central American coffee matched with the sweetness, body, and depth of an Indonesian bean to create a wakeful blend that won't try to compete with your orange juice in terms of its brightness.
Created07-01-2006
Modified04-28-2020 4:44:01pm
MD5332fd5a9f8d441a9fec6f846379426a2
SHA256fbd5a1b7c66c871edffddc20e0b98720ae32bdf46b078267cdeec2815540bc7d
Search Googleby EAN or by Title
Query Time0.0063291

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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