Image
EAN-130779836177896   EAN-13 barcode 0779836177896
UPC-A779836177896   UPC-A barcode 779836177896
Product NameFormula For Death
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B000H8A802
Price New2.79 US Dollars    (curriencies)
Price Used1.45 US Dollars    (curriencies)
Run Time93 minutes
CastBarry Corbin, Nicollette Sheridan, William Devane
Run Time93 minutes
Width5.75 inches    (convert)
Height0.53 inches    (convert)
Length7.75 inches    (convert)
Weight20 hundredths pounds    (convert)
BindingDvd
FormatColor, Full Screen, NTSC
Run Time93 minutes
Long DescriptionBased on Robin Cook's International bestseller Outbreak-Formula for Death is an Intriguing Heart-pounding thriller.
Similar Items0779836177995: Mortal Fear (Robin Cooks) (Dvd)
0707729126751: Acceptable Risk
Created05-22-2010
Modified08-05-2018 6:18:01pm
MD5e7a00f042dea1b38c86fcdb8d7905f56
SHA256a63b6e11e302fb5211e5fa4086bf5955f38d365e97289e5a6a975e28c6ccb66f
Search Googleby EAN or by Title
Query Time0.0081308

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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