Image
EAN-139780788858994   EAN-13 barcode 9780788858994
Product NamePretty Woman
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B00081U7HC
Model2260009
Price New6.47 US Dollars    (curriencies)
Price Used3.19 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
Run Time125 minutes
Aspect Ratio1.85:1
CastHector Elizondo, Jason Alexander, Julia Roberts, Ralph Bellamy, Richard Gere
GenreCOMEDY
Run Time125 minutes
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight20 hundredths pounds    (convert)
BindingDVD
FormatMultiple Formats, Closed-captioned, Color, Dolby, NTSC, Special Edition, Subtitled, Widescreen
Published12/22/2013
Run Time125 minutes
FeaturesShrink-wrapped
Long DescriptionThis 15th Anniversary celebration of PRETTY WOMAN is even more irresistible than ever with all-new, never-before-seen special features you'll love at first sight. Academy Award(R) Winner Julia Roberts (Best Actress, ERIN BROCKOVICH, 2000) is a spirited, streetwise diamond in the rough when she meets a no-nonsense billionaire played by Golden Globe winner Richard Gere (Best Actor In A Motion Picture -- Musical Or Comedy, CHICAGO, 2002). It's a chance encounter that turns a weeklong business arrangement into a timeless rags-to-riches romance. This Special Edition will seduce you with all the comedy, charm, and passion you remember about this classic -- plus more!
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Created08-02-2018 12:31:21pm
Modified06-05-2019 2:53:36pm
MD54629b488a03c578a808f6e68b10dd5c9
SHA256ffa05114a55a43f6a485246ad6f7a37edc3e1e6d07596f0bd3055a41b4089772
Search Googleby EAN or by Title
Query Time0.0136690

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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