Image
EAN-130794043128172   EAN-13 barcode 0794043128172
UPC-A794043128172   UPC-A barcode 794043128172
Product NameAmerican History X
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionBlu Ray
Web Link
Amazon.comA Buy on Amazon ~ B001O7JHSE
Model5073051
Price New2.99 US Dollars    (curriencies)
Price Used2.00 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
TrailerWatch The Trailer
Run Time119 minutes
Aspect Ratio1.85:1
CastEdward Norton, Edward Furlong, Beverly D'Angelo, Jennifer Lien
DirectorTony Kaye
GenreCRIME,DRAMA
Run Time119 minutes
Width5.25 inches    (convert)
Height0.3 inches    (convert)
Length6.5 inches    (convert)
Weight20 hundredths pounds    (convert)
BindingBlu-ray
Release Year1998
FormatMultiple Formats, AC-3, Blu-ray, Color, Dolby, NTSC, Subtitled, Widescreen
Run Time119 minutes
FeaturesShrink-wrapped
Long DescriptionDerek Vineyard is paroled after serving 3 years in prison for brutally killing two black men who tried to break into/steal his truck. Through his brother, Danny Vineyard's narration, we learn that before going to prison, Derek was a skinhead and the leader of a violent white supremacist gang that committed acts of racial crime throughout L.A. and his actions greatly influenced Danny. Reformed and fresh out of prison, Derek severs contact with the gang and becomes determined to keep Danny from going down the same violent path as he did.
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Created05-22-2010
Modified06-01-2019 5:13:54pm
MD57d4bd5388bcda9823cf71ae52b8a5b7a
SHA256da8b7431c6476b454d0eb34e8cf0b338a4bc87c81b86000da3790417d8b93aa1
Search Googleby EAN or by Title
Query Time0.0171499

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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