Image
EAN-135017188813426   EAN-13 barcode 5017188813426
Product NameHidalgo
CategoryElectronics / Photography: A/V Media: Movie
Web Link
Amazon.comA Buy on Amazon ~ B0002GX9HS
ModelMSE529296
Price New2.83 US Dollars    (curriencies)
Price Used0.98 US Dollars    (curriencies)
RatingPG-13 - Parents Strongly Cautioned
IMDbIMDb Link
TrailerWatch The Trailer
Run Time136 minutes
Aspect Ratio2.35:1
CastAdam Alexi-Malle, Louise Lombard, Omar Sharif, Viggo Mortensen, Zuleikha Robinson
DirectorJoe Johnston
GenreACTION,ADVENTURE,BIOGRAPHY
Run Time136 minutes
Weight4 hundredths pounds    (convert)
BindingDvd
Release Year2004
FormatPAL
Run Time136 minutes
Long DescriptionHeld yearly for centuries, the Ocean of Fire--a 3,000 mile survival race across the Arabian desert--was a challenge restricted to the finest Arabian horses ever bred, the purest and noblest lines, owned by the greatest royal families. In 1890, a wealthy sheik invited an American, Frank T. Hopkins, and his horse to enter the race for the first time. During the course of his career, Hopkins was a cowboy and dispatch rider for the U.S. cavalry--and had once been billed as the greatest rider the West had ever known. The Sheik puts his claim to the test, pitting the American cowboy and his mustang, Hidalgo, against the world's greatest Arabian horses and Bedouin riders--some of whom are determined to prevent a foreigner from finishing the race. For Frank, the Ocean of Fire becomes not only a matter of pride and honor, but a race for his very survival as he and his horse attempt the impossible.
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Created12-21-2011 8:40:20am
Modified04-27-2018 1:47:56am
MD58efd4ba75a3654d3278447fed2f3cc96
SHA2567b97d0388ac4adac6d1417d895e82606c08884f8dc0f1afa18f24b3fa6653131
Search Googleby EAN or by Title
Query Time0.0494800

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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