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EAN-130016000466821   EAN-13 barcode 0016000466821
UPC-A016000466821   UPC-A barcode 016000466821
BrandNature Valley
Product NameNature Valley Chocolate Oat Clusters Cereal
LanguageEnglish
CategoryFood
Web Link
Amazon.comA Buy on Amazon ~ B0199RFABI
Price New8.99 US Dollars    (curriencies)
Weight15.68 ounces    (convert)
BindingGrocery
Published12/12/2015
FeaturesNo High Fructose Corn Syrup No Artificial Flavors No Colors from Artificial Sources 12g Protein with Milk
Long DescriptionFirst Ingredient Whole Grain A whole grain food is made by using all three parts of the grain. All General Mills Big G cereals contain more whole grain than any other single ingredient. 22g whole grain per serving. At least 48g recommended daily.
Similar Items0884623102361: Bear Naked Chocolate Almond Granola Clusters cereal, 13 oz
0018627107576: Kashi Go Chocolate Crunch Plant Protein and Multigrain Cereal
0016000458918: Nature Valley Protein Peanut Butter Dark Chocolate Chewy Bars 10 Count
0016000437784: Nature Valley Oats & Dark Chocolate Protein Granola
0016000102132: Nature Valley Chocolate Oat Clusters Cereal
Created05-22-2016 9:56:32am
Modified05-02-2020 12:26:46am
MD5c9a83c3133aeeabd562622860b24c4fc
SHA256c452543897615eb866dbf1902ba414f183cd1846f1dc24e5f4d0e25a4fa943d1
Search Googleby EAN or by Title
Query Time0.0185230

An article of interest

Making use of the tools we offer

Importing our data into your MySQL database

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.