Image
EAN-135055761905533   EAN-13 barcode 5055761905533
Product NameWild Card: Extended Edition [Region 2]
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B00VTN1QP0
Price New5.96 US Dollars    (curriencies)
Price Used5.05 US Dollars    (curriencies)
CastJason Statham, Stanley Tucci
GenreDRAMA
BindingDvd
FormatPAL
Run Time98 unknown-units
Long DescriptionUK Released DVD/Blu-Ray item. It MAY NOT play on regular US DVD/Blu-Ray player. You may need a multi-region US DVD/Blu-Ray player to play this item. Jason Statham and Michael Angarano star in the extended edition of this action drama from director Simon West. Gambling addict Nick Wild (Statham) works as a bodyguard for millionaire Cyrus Kinnick (Angarano) while he is in Las Vegas. After helping his friend Holly (Dominik Garcia-Lorido) get revenge on Danny DeMarco (Milo Ventimiglia), the gangster who raped her, Nick finds himself wanted by the Mob. Can he make it out of Las Vegas alive? The cast also includes Stanley Tucci, Hope Davis, Sofía Vergara, Jason Alexander and Anne Heche.
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Created12-19-2016 10:18:23pm
Modified03-07-2018 4:02:46pm
MD5205fb9edc5255ad17f18e64cfa9bbca1
SHA25660fcdd08e8423a31b714bd22cdbcdb5b65a282c603396e2d7a7b2075e71afa85
Search Googleby EAN or by Title
Query Time0.0218921

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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