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EAN-130012236604778   EAN-13 barcode 0012236604778
UPC-A012236604778   UPC-A barcode 012236604778
Product NameKing of New York
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B00004U29K
Price New8.35 US Dollars    (curriencies)
Price Used1.50 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
TrailerWatch The Trailer
Run Time103 minutes
Aspect Ratio1.85:1
CastChristopher Walken, David Caruso, Laurence Fishburne, Victor Argo
DirectorAbel Ferrara
GenreCRIME,THRILLER
Run Time103 minutes
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight25 hundredths pounds    (convert)
BindingDvd
Release Year1990
FormatColor, Letterboxed, Widescreen, NTSC
Run Time103 minutes
Long DescriptionAfter completing a lengthy prison sentence, one-time drug kingpin Frank White returns to New York intent on reestablishing his empire and making things as they were before he left. Others of course have taken over the business during his absence but that clearly isn't going to stop White. While he is gunning down the opposition, he decides he's going to give away the money he'll make to modernize the hospital in his old neighborhood. Drug dealers aren't the only thing he has to worry about however: a group of rogue cops decide they are going to take him down.
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Created07-01-2006
Modified02-06-2019 4:19:45am
MD5d163b3c7dde0de1240ff6fb5e1b55780
SHA256e651e3893e36563c2ac18398cd51fdad2425c4bc5b93158fd8b4d0d3736db00e
Search Googleby EAN or by Title
Query Time0.0251241

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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