Image
EAN-130032429036742   EAN-13 barcode 0032429036742
UPC-A032429036742   UPC-A barcode 032429036742
Product NameShrek
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Web Link
Amazon.comA Buy on Amazon ~ B0015U0R02
RatingPG - Parental Guidance Suggested
IMDbIMDb Link
TrailerWatch The Trailer
Run Time90 minutes
CastMike Myers, Eddie Murphy, Cameron Diaz, John Lithgow
DirectorAndrew Adamson, Vicky Jenson
GenreANIMATION,ADVENTURE,COMEDY
Run Time93 minutes
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight20 hundredths pounds    (convert)
BindingDvd
Release Year2001
FormatAC-3, Color, Dolby, Dubbed, Full Screen, Subtitled, NTSC
Run Time93 minutes
Long DescriptionWhen a green ogre named Shrek discovers his swamp has been 'swamped' with all sorts of fairytale creatures by the scheming Lord Farquaad, Shrek sets out with a very loud donkey by his side to 'persuade' Farquaad to give Shrek his swamp back. Instead, a deal is made. Farquaad, who wants to become the King, sends Shrek to rescue Princess Fiona, who is awaiting her true love in a tower guarded by a fire-breathing dragon. But once they head back with Fiona, it starts to become apparent that not only does Shrek, an ugly ogre, begin to fall in love with the lovely princess, but Fiona is also hiding a huge secret.
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0786936838961: Frozen
0786936830149: Monsters, Inc.
0786936798333: Toy Story
0678149087123: Shrek 2 (Widescreen Edition)
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0025192366635: Sing
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Created05-22-2010
Modified09-24-2018 12:59:30am
MD530e019c212fc68e38e182ede7f2bc11d
SHA2566642814f498f781c5874db22eb1a64f3c077ef70df3be88fe24bec121620043a
Search Googleby EAN or by Title
Query Time0.0154400

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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