Image
EAN-130012236212843   EAN-13 barcode 0012236212843
UPC-A012236212843   UPC-A barcode 012236212843
Product NameCutthroat Island
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B000NQRR1G
Model2210041
Price New2.70 US Dollars    (curriencies)
Price Used1.40 US Dollars    (curriencies)
RatingPG-13 - Parents Strongly Cautioned
IMDbIMDb Link
TrailerWatch The Trailer
Run Time124 minutes
Aspect Ratio2.35:1
CastGeena Davis, Matthew Modine, Frank Langella, Maury Chaykin
DirectorRenny Harlin
GenreACTION,ADVENTURE,COMEDY
Run Time124 minutes
Width5.5 inches    (convert)
Height0.75 inches    (convert)
Length7.5 inches    (convert)
Weight24 hundredths pounds    (convert)
BindingDvd
Release Year1995
FormatMultiple Formats, Closed-captioned, Color, NTSC, Widescreen
Published05/22/2007
Run Time124 minutes
FeaturesCUTTHROAT ISLAND MOVIE
Long DescriptionMorgan Adams and her slave, William Shaw, are on a quest to recover the three portions of a treasure map. Unfortunately, the final portion is held by her murderous uncle, Dawg. Her crew is skeptical of her leadership abilities, so she must complete her quest before they mutiny against her. This is made yet more difficult by the efforts of the British crown to end her piratical raids.
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Created05-22-2010
Modified05-15-2019 9:23:38am
MD568170891b6338ed6267e662ba6a72c02
SHA256a5a53f5b95883cea8245d782f9e6169d880dab28780fd61ed110c90c17c28fc2
Search Googleby EAN or by Title
Query Time0.0177090

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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