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EAN-130031398137177   EAN-13 barcode 0031398137177
UPC-A031398137177   UPC-A barcode 031398137177
Product Name40 Days and 40 Nights
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionDVD
Web Link
Amazon.comA Buy on Amazon ~ B004SEUJ9Q
Model16478372
Price New2.37 US Dollars    (curriencies)
Price Used1.80 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
TrailerWatch The Trailer
Run Time96 minutes
CastAdam Trese, Emmanuelle Vaugier, Josh Hartnett, Paulo Costanzo, Shannyn Sossamon
DirectorMichael Lehmann
GenreCOMEDY,ROMANCE
Run Time96 minutes
Width5.25 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight15 hundredths pounds    (convert)
BindingDvd
Release Year2002
FormatMultiple Formats, AC-3, Color, Dolby, NTSC, Widescreen
Published09/06/2011
Run Time96 minutes
FeaturesFactory sealed DVD
Long DescriptionAn outrageously sexy comedy starring Josh Hartnett and Shannyn Sossamon. 40 days and 40 nights is another hilarious hit from the producers of Notting Hill and Bridget Jones' Diary! On the heels of a disastrous breakup and a string of unfulfilling romantic conquests, Matt Sullivan(Hartnett) yearns to become a better, more complete person. In the midst of his despair, he chooses to test himself by making a vow of no sex whatsoever for 40 days and 40 nights! With everyone betting he won't finish... and a seductive new girl in his life (sossamon)...it's all Matt can do to just hold on! Fun, fresh, and wildly entertaining- you'll agree with critics everywhere who found this sexy comedy adventure totally irresistible!
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Created04-15-2012 9:32:53pm
Modified05-27-2019 2:11:32am
MD586342770a91e45f2666381ad6164a8c7
SHA2565ad8e68c92526bd4ba14cfe845b553f56180a0852d1ab43e46fee9ea88b76db0
Search Googleby EAN or by Title
Query Time0.0437200

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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