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EAN-139781404914308   EAN-13 barcode 9781404914308
Product NameEscapist
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B000C0Z93G
Price New1.00 US Dollars    (curriencies)
Price Used0.20 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
TrailerWatch The Trailer
Run Time90 minutes
Aspect Ratio1.85:1
CastAndy Serkis, Gary Lewis, Jodhi May, Jonny Miller
DirectorGillies MacKinnon
GenreDrama
Run Time90 minutes
Width5.75 inches    (convert)
Height0.53 inches    (convert)
Length7.75 inches    (convert)
Weight20 hundredths pounds    (convert)
BindingDvd
Release Year2002
FormatMultiple Formats, AC-3, Color, Dolby, NTSC, Subtitled, Widescreen
Run Time90 minutes
Long DescriptionDenis (Jonny Lee Miller), a man whose life is shattered by a single criminal act in which his youngwife is killed in a bungled break-in attempt by a career criminal called Ricky Barnes (Andy Serkis). Denis, for whom life up to then had seemed perfect, cannot cope with his loss, and dedicates his life to tracking down the man responsible. It is a pursuit which requires him not only to be sent to jail, but to be sent to the worst - or, as the prison service would have it, the most secure - jail in Britain: Sullen Voe.
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Created10-07-2013 12:54:45am
Modified06-02-2019 12:21:33am
MD55e64a72db143100ffa97968a1f29f32b
SHA2564b03e2b5057f90cee3a5d98c302aafda60d7c5cd483e3fc3c646b0c362f9e84d
Search Googleby EAN or by Title
Query Time0.0292909

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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