Image
EAN-139780788824142   EAN-13 barcode 9780788824142
Product NameKeeping The Faith
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie
Short DescriptionHardcover
Amazon.comA Buy on Amazon ~ B00003CXHG
SKU717951010582
Model2251034
Price New4.30 US Dollars    (curriencies)
Price Used0.40 US Dollars    (curriencies)
RatingPG-13 - Parents Strongly Cautioned
IMDbIMDb Link
Run Time129 minutes
Aspect Ratio1.85:1
CastAnne Bancroft, Ben Stiller, Edward Norton, Eli Wallach, Jenna Elfman
GenreComedies
Run Time129 minutes
Width5.25 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight25 hundredths pounds    (convert)
BindingDVD
FormatMultiple Formats, Color, Dolby, NTSC, Widescreen
Published12/28/2010
Run Time129 minutes
FeaturesShrink-wrapped
Long DescriptionBen Stiller (THE ROYAL TENENBAUMS), Jenna Elfman (EdTV), and Edward Norton (FIGHT CLUB) star in KEEPING THE FAITH, a sexy romantic comedy so fresh and funny, you'll fall head over heels in love! Jake Schram (Stiller) and Brian Finn (Norton) are single, successful, extremely popular guys who have been best friends since, well, forever. They are about to be reunited with their other best childhood buddy -- the feisty, lanky tomboy, Anna (Elfman). Anna has grown into a high-powered workaholic beauty whose reentry into their lives turns this old circle of friends into a love triangle -- a very complicated one at that, because Jake's a rabbi and Brian is a priest. But have faith -- this gem is going to steal your heart.
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Created10-19-2012 7:06:40am
Modified04-13-2019 11:51:28pm
MD5fbb40178ae3d27ab9c59952a5ba580c6
SHA256638d0340bbd95af5a0936742e858845a8d31694323b38ab2874a7ba6d9bc7412
Search Googleby EAN or by Title
Query Time0.0221210

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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