Image
EAN-130012236191544   EAN-13 barcode 0012236191544
UPC-A012236191544   UPC-A barcode 012236191544
Product NameReservoir Dogs
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B000KX0ISG
Model2209927
Price New3.99 US Dollars    (curriencies)
Price Used1.50 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
TrailerWatch The Trailer
Run Time99 minutes
Aspect Ratio2.35:1
CastHarvey Keitel, Tim Roth, Michael Madsen, Chris Penn
DirectorQuentin Tarantino
GenreCRIME,DRAMA,THRILLER
Run Time99 minutes
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length6.5 inches    (convert)
Weight20 hundredths pounds    (convert)
BindingBlu-Ray
Release Year1992
FormatBlu-ray, Color, Dolby, DTS Surround Sound, NTSC, Subtitled, Widescreen
Published02/18/2014
Run Time99 minutes
FeaturesShrink-wrapped
Long DescriptionSix criminals, who are strangers to each other, are hired by a crime boss, Joe Cabot, to carry out a diamond robbery. Right at the outset, they are given false names with the intention that they won't get too close and will concentrate on the job instead. They are completely sure that the robbery is going to be a success. But, when the police show up right at the time and the site of the robbery, panic spreads amongst the group members, and two of them are killed in the subsequent shootout, along with a few policemen and civilians. When the remaining people assemble at the premeditated rendezvous point (a warehouse), they begin to suspect that one of them is an undercover cop.
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Created05-22-2010
Modified06-02-2019 4:57:44pm
MD5894b1618a68a4b3de8821b4e2fc46021
SHA2561635d66c5ae5ccfcbbe1b5211b0ca7c76704bbcc7148c386667d75acb75644e2
Search Googleby EAN or by Title
Query Time0.0166230

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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