Image
EAN-130012569802391   EAN-13 barcode 0012569802391
UPC-A012569802391   UPC-A barcode 012569802391
Product NameAbove the Law/Hard to Kill (DBFE)
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B000E0WJLE
SKU17-2-1015745
ModelWHV80239DVD
Price New5.49 US Dollars    (curriencies)
Price Used2.91 US Dollars    (curriencies)
Run Time196 minutes
Aspect Ratio1.33:1
GenreAction/Adventure
Run Time196 minutes
Width5 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight25 hundredths pounds    (convert)
BindingDvd
FormatMultiple Formats, Closed-captioned, Color, NTSC
Published12/09/2008
Run Time196 minutes
FeaturesShrink-wrapped
Long Description

Above the Law/Hard to Kill (DVD) (DBFE) (Multi-Title)

His smash-'n'-bash screen debut! Steven Seagal shows he's an action hero to reckon with in Above the Law. He plays Nico Toscani, a tough-as-nails Chicago cop who, bounced from the force, dares to fight drug-runners and other lowlifes on their own lethal terms. Andrew Davis (The Fugitive) directs. Hard to Kill, the second film of Seagal's career, is hard to beat, a volatile tale of a gunned-down L.A. detective Mason Storm, who awakens from a coma determined to find his would-be killers. As Storm, Seagal unleashes a fury of revenge - and combines cutting down bad guys with cuttingly funny one-liners!

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Created05-22-2010
Modified02-13-2019 4:08:20am
MD59d1652e6201f5c8af3e1c3de168e14fa
SHA2569eaaaa8a678694045ad09174df5d9e7fd2f1c25ca977b4afb58808cf255b88d8
Search Googleby EAN or by Title
Query Time0.0061200

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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