Image
EAN-139780792833666   EAN-13 barcode 9780792833666
Product NameRob Roy
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ 079283366X
Model2221677
Price New1.99 US Dollars    (curriencies)
Price Used1.00 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
TrailerWatch The Trailer
Run Time139 minutes
Aspect Ratio1.85:1
CastEric Stoltz, Jessica Lange, John Hurt, Liam Neeson, Tim Roth
DirectorMichael Caton-Jones
GenreADVENTURE,BIOGRAPHY,HISTORY
Run Time139 minutes
Width5.38 inches    (convert)
Height0.6 inches    (convert)
Length7.5 inches    (convert)
Weight25 hundredths pounds    (convert)
BindingDvd
Release Year1995
FormatMultiple Formats, Anamorphic, Closed-captioned, Color, Dolby, DTS Surround Sound, NTSC, Widescreen
Published08/26/2014
Run Time139 minutes
FeaturesFactory sealed DVD
Long DescriptionIn the highlands of Scotland in the 1700s, Rob Roy tries to lead his small town to a better future, by borrowing money from the local nobility to buy cattle to herd to market. When the money is stolen, Rob is forced into a Robin Hood lifestyle to defend his family and honour.
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Created03-02-2013 8:19:23am
Modified06-05-2019 3:06:34pm
MD5a515cf4498616fab063675a5c03652b4
SHA25615f096af0ff8cf1c6b969169dd7d94182a5d7f4a26aeb2eb2515aeec2f214e4a
Search Googleby EAN or by Title
Query Time0.0205359

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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