Image
EAN-139786304994542   EAN-13 barcode 9786304994542
Product NameThe Big Lebowski [VHS]
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ 6304994540
SKU1002-WS1501-A03010-6304994540
Price New9.76 US Dollars    (curriencies)
Price Used2.35 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link     tt0118715
TrailerWatch The Trailer
Run Time117 minutes
CastDavid Huddleston, Jeff Bridges, John Goodman, Julianne Moore, Steve Buscemi
DirectorJoel Coen, Ethan Coen
GenreCOMEDY,CRIME
Run Time117 minutes
Weight40 hundredths pounds    (convert)
BindingVHS Tape
Release Year1998
FormatClosed-captioned, Color, NTSC
Run Time117 minutes
Long DescriptionAfter the tight plotting and quirky intensity of Fargo, this casually amusing follow-up from the prolifically inventive Coen (Ethan and Joel) brothers seems like a bit of a lark, and the result was a box-office disappointment. The good news is, The Big Lebowski is every bit a Coen movie, and its lazy plot is part of its laidback charm. After all, how many movies can claim as their hero a pot-bellied, pot-smoking loser named Jeff "The Dude" Lebowski (Jeff Bridges) who spends most of his time bowling and getting stoned? And where else could you find a hairnetted Latino bowler named Jesus (John Turturro) who sports dazzling purple footgear, or an erotic artist (Julianne Moore) whose creativity consists of covering her naked body in paint, flying through the air in a leather harness, and splatting herself against a giant canvas? Who else but the Coens would think of showing you a camera view from inside the holes of a bowling ball, or an elaborate Busby Berkely-styled musical dream sequence involving a Viking goddess and giant bowling pins? The plot--which finds Lebowski involved in a kidnapping scheme after he's mistaken for a rich guy with the same name--is almost beside the point. What counts here is a steady cascade of hilarious dialogue, great work from Coen regulars John Goodman and Steve Buscemi, and the kind of cinematic ingenuity that puts the Coens in a class all their own. Be sure to watch with snacks in hand, because The Big Lebowski might give you a giddy case of the munchies. --Jeff Shannon
Similar Items9786303430577: Clerks [VHS]
9786300182875: The Thing [Vhs]
9780800122409: Dr Strangelove or: How I Learned to Stop Worrying and Love the Bomb [VHS]
9780790742106: A Clockwork Orange
9780788806117: Trainspotting [VHS]
0786936361834: Clerks
0096898149532: Dazed And Confused
0096896102638: Being John Malkovich [Vhs]
Created11-26-2012 6:23:16am
Modified04-27-2018 1:24:26am
MD52be2026bfa50661e06a7588bf1a8c2b8
SHA256819210848f3e8abf7842d13a607440ddd89bfd6cdc819b958093a26fdd688cf0
Search Googleby EAN or by Title
Query Time0.0021989

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.

Close

Search

Close

Share

Close

Dialog