| Image |  |
| EAN-13 | 0043396015661  |
| UPC-A | 043396015661  |
| Product Name | Snatch |
| Category | Electronics / Photography: A/V Media: Movie / TV |
| Short Description | DVD |
| Amazon.com |  Buy on Amazon ~ B000093FLA |
| Price New | 5.50 US Dollars (curriencies) |
| Price Used | 1.27 US Dollars (curriencies) |
| Rating | R - Restricted |
| IMDb | 
|
| Run Time | 146 minutes |
| Aspect Ratio | 1.85:1 |
| Cast | Brad Pitt, Dennis Farina, Jason Flemyng, Jason Statham, Rade Sherbedgia |
| Genre | Action/Adventure |
| Run Time | 146 minutes |
| Width | 5.75 inches (convert) |
| Height | 0.53 inches (convert) |
| Length | 7.75 inches (convert) |
| Weight | 25 hundredths pounds (convert) |
| Binding | Dvd |
| Format | Multiple Formats, Anamorphic, Closed-captioned, Color, Dolby, Dubbed, Full Screen, NTSC, Subtitled, Widescreen |
| Published | 02/04/2014 |
| Run Time | 146 minutes |
| Features | Shrink-wrapped |
| Long Description | Guy Ritchie, writer/director of Lock, Stock and Two Smoking Barrels, delivers another awe-inspiring directorial masterpiece, SNATCH - an edgy and hilarious film about a diamond heist gone wrong, a colorful Irish gypsy-turned-prize fighter...and a very temperamental dog.In the heart of gangland, two novice unlicensed boxing promoters, Turkish (Jason Statham) and Tommy (Stephen Graham), get roped intoorganizing a rigged bare-knuckle fight with local kingpin/villain and fellow boxing promoter Brick Top (Alan Ford). But all goes wrong whenwildcard Irish gypsy boxer One Punch Mickey O'Neil (Brad Pitt) starts playing by his own rules, and the duo find themselves heading for awhole lot of trouble.Meanwhile, Franky Four Fingers (Benicio Del Toro) and his stolen 86-carat diamond have gone missing in London. Head honcho Avi(Dennis Farina) hires local legend Bullet Tooth Tony (Vinnie Jones) to find them, launching everyone into a spiral of double-crossing vendettas and events, most of them illega |
| Similar Items | 0025192908026: Lock, Stock and Two Smoking Barrels (Unrated Director's Cut) 0025192674129: The Big Lebowski (Widescreen Collector's Edition) 0025192006661: Smokin' Aces / Lock, Stock and Two Smoking Barrels / The Fast and the Furious Tokyo Drift Triple Feature Film Set 0024543044796: Fight Club 0024543044789: Fight Club (Widescreen Edition) 0012569843288: Kiss Kiss, Bang Bang (Widescreen Edition) (2006) 0012569757615: Kiss Kiss Bang Bang 0012569586710: Kiss Kiss Bang Bang 0012236173106: Stage Beauty 0012236131472: Reservoir Dogs View 29 more similar items |
| Created | 07-01-2006 |
| Modified | 05-16-2019 7:03:44am |
| MD5 | 5d655b08b4168ccc366f90622da88647 |
| SHA256 | 76bdbce2d899f6c6cfdca8e0c567530f6f38cdd5d7f487e3320da66e9b997763 |
| Search Google | by EAN or by Title |
| Query Time | 0.0256560 |
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.