Image
EAN-130043396718890   EAN-13 barcode 0043396718890
UPC-A043396718890   UPC-A barcode 043396718890
Product NameAir Force One
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionDvd
Amazon.comA Buy on Amazon ~ 0767803434
Model9652
Price New11.79 US Dollars    (curriencies)
Price Used0.49 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
TrailerWatch The Trailer
Run Time124 minutes
Aspect Ratio1.33:1
CastGary Oldman, Glenn Close, Harrison Ford, Wendy Crewson
DirectorWolfgang Petersen
GenreACTION,DRAMA,THRILLER
Run Time135 minutes
Width5.75 inches    (convert)
Height0.5 inches    (convert)
Length7.25 inches    (convert)
Weight25 hundredths pounds    (convert)
BindingDvd
Release Year1997
FormatMultiple Formats, Closed-captioned, Color, Dolby, Full Screen, NTSC
Published05/15/2012
Run Time135 minutes
FeaturesAIR FORCE ONE (MOVIE)
Long DescriptionThe President of the USA goes to Moscow and gives a stirring speech outlining the USA's new "Zero-tolerance" policy with respect to terrorism. On the flight home, terrorists take over Air Force One (the President's official plane) and take the passengers (including his wife and daughter) hostage. The terrorists plan to execute one hostage every half-hour unless/until their demands are met. However, the President is a former Medal of Honor winner, so the terrorists may be in for a surprise...
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Created07-01-2006
Modified02-02-2021 12:18:37am
MD552b381136f389cfcad894f2ef5802d46
SHA2566977a432c7ec2ade9cb9ba68fe72e75dc428e0953e8ad291e747cb780427a011
Search Googleby EAN or by Title
Query Time0.0164940

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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