Image
EAN-130786936160079   EAN-13 barcode 0786936160079
UPC-A786936160079   UPC-A barcode 786936160079
Product NameHunchback of Notre Dame
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionDVD
Amazon.comA Buy on Amazon ~ B00005TN8K
Price New9.92 US Dollars    (curriencies)
Price Used5.75 US Dollars    (curriencies)
Width5.4 inches    (convert)
Height0.6 inches    (convert)
Length7.4 inches    (convert)
Weight4 ounces    (convert)
BindingDvd
Long DescriptionInspired by Victor Hugo's classic novel, Disney brings the heroic adventures of Quasimodo, the gentle and lonely bell ringer of Notre Dame, to spectacular life. This critically acclaimed Disney masterpiece is an "uplifting, thrilling story with a heart-touching message that emerges from the comedy and song" (Roger Ebert, Chicago Sun-Times). At the urging of his hilarious gargoyle pals Victor, Hugo, and Laverne, Quaismodo leaves the solitary safety of his tower, venturing out to find his first true friend, the gypsy beauty Esmerelda. The most unlikely of heroes, Quasi fights to save the people and the city he loves and, in turn, helps us to see people for who they are, rather than how they appear. The star-studded voice cast includes Jason Alexander, Tom Hulce, Kevin Kline, and Demi Moore in a magnificent Disney musical from renowned composer Alan Menken.
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Created07-01-2006
Modified01-07-2020 11:42:27am
MD5baf458e2a7943a1960c34451f106ef0e
SHA2566f62102a1f16b8c85caf22384c1b9f2b6b4307e057e583cdce4fa1becf05009a
Search Googleby EAN or by Title
Query Time0.0151520

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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