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EAN-135055002530593   EAN-13 barcode 5055002530593
Product NameNEW Monster (DVD)
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B000W2228E
SKUSELEX-504-7-5069
Price New5.11 US Dollars    (curriencies)
Price Used0.98 US Dollars    (curriencies)
Weight2.88 ounces    (convert)
BindingDvd
FormatDVD
Long DescriptionCritics have universally praised Charlize Theron's performance in Monster , and the praise, for once, is astonishingly deserved. The gorgeous star of The Italian Job and The Cider House Rules vanishes into the character of Aileen Wuornos, a real-life serial killer and prostitute who murdered at least seven men in Florida. Monster traces her relationship with a young woman named Selby (Christina Ricci, The Ice Storm , Buffalo 66 ), which intertwines with Wuornos's murder spree. This remarkable movie finds compassion for Wuornos but unflinchingly faces her brutal crimes; Theron expresses this woman's horrific life history without softening her terrifying, dead-eyed stare. This is a gripping, devastating performance, a physical and psychological transformation comparable to Robert DeNiro's in Raging Bull . The movie's moral and emotional complexity wouldn't succeed without this searing performance--but succeed it does, and it will stick with you for some time afterward. --Bret Fetzer
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Created09-02-2013 10:15:58am
Modified04-30-2020 11:56:56am
MD501c6755e9001f21460aa5c247fba65e8
SHA2564d3a9386a89ac195eac2e2c75314b856548f63d22900505b7c02f96aa1340833
Search Googleby EAN or by Title
Query Time0.0332389

An article of interest

Making use of the tools we offer

Importing our data into your MySQL database

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.