Disable All Advertising
EAN-130025192212895   EAN-13 barcode 0025192212895
UPC-A025192212895   UPC-A barcode 025192212895
Product NameEndless Love
CategoryElectronics / Photography: A/V Media: Movie / TV
Web Link
Amazon.comA Buy on Amazon ~ B00IGBI052
Price New4.05 US Dollars    (curriencies)
Price Used2.06 US Dollars    (curriencies)
RatingPG-13 - Parents Strongly Cautioned
TrailerWatch The Trailer
Run Time104 minutes
Aspect Ratio2.35:1
CastAlex Pettyfer, Bruce Greenwood, Gabriella Wilde
DirectorShana Feste
Run Time105 minutes
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight20 hundredths pounds    (convert)
Release Year2014
FormatMultiple Formats, Color, Widescreen, NTSC
Run Time105 minutes
Long DescriptionDavid has had a crush on Jade since the first time he saw her in the tenth grade. With high school coming to an end, David has never spoken to her until her family pulls up to The Inn, where David works as a valet. She and David fall madly in love, a love that only grows stronger as parents try to tear them apart. David knows Jade's past, but as his secrets are slowly revealed, Jade's trust is tested and leaves them wondering if they are truly meant to be together.
Similar Items9780880016285: Endless Love: A Novel
9780140056037: Endless Love
9780061926006: Endless Love: A Novel
8809154125902: Endless Love
5051890110114: DVD * The Lucky One - Für immer der Deine [Import allemand]
5051159163059: The Vow [Region 2] [UK Import]
5035822163034: The Vow [Region 2] [UK Import]
5017239196331: The Time Traveler's Wife [2009] (2010) Eric Bana; Rachel McAdams
4010324037565: Beastly
4010324028433: Beastly
4010232053817: Wasser Fur Die Elefanten
0883929490325: Me Before You
0883929304349: Footloose
0883929241231: Lucky One
0883904321439: If I Stay
0786936805871: Last Song
0043396456716: The Words/ The Vow/ Dear John
0043396398177: Vow
0043396343443: Dear John
0032429219411: Love, Rosie
0031398241201: Choice
0031398179306: Spectacular Now
0031398154310: Lol 
0025192222092: Endless Love
0025192067464: Remember Me
0024543988908: Longest Ride, The
0024543968399: Best of Me, The
0024543835424: Safe Haven
Created08-17-2016 11:17:36pm
Modified04-02-2022 12:32:39am
Search Googleby EAN or by Title
Query Time0.0972281

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.

    INFILE '~/sample_ean_data/sample_ean_product.csv' 
    INTO TABLE ean_product

Finally, lets look at the data that we just imported.


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.