| Image |  |
| EAN-13 | 0025192212895  |
| UPC-A | 025192212895  |
| Product Name | Endless Love |
| Category | Electronics / Photography: A/V Media: Movie / TV |
| Web Link | endlesslovemovie.com |
| Amazon.com |  Buy on Amazon ~ B00IGBI052 |
| Model | 28928785 |
| Price New | 4.05 US Dollars (curriencies) |
| Price Used | 2.06 US Dollars (curriencies) |
| Rating | PG-13 - Parents Strongly Cautioned |
| IMDb | 
|
| Trailer | Watch The Trailer |
| Run Time | 104 minutes |
| Aspect Ratio | 2.35:1 |
| Cast | Alex Pettyfer, Bruce Greenwood, Gabriella Wilde |
| Director | Shana Feste |
| Genre | DRAMA,ROMANCE |
| Run Time | 105 minutes |
| Width | 5.5 inches (convert) |
| Height | 0.5 inches (convert) |
| Length | 7.5 inches (convert) |
| Weight | 20 hundredths pounds (convert) |
| Binding | DVD |
| Release Year | 2014 |
| Format | Multiple Formats, Color, Widescreen, NTSC |
| Published | 09/22/2015 |
| Run Time | 105 minutes |
| Features | Shrink-wrapped |
| Long Description | David 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 Items | 9780880016285: 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 |
| Created | 08-17-2016 11:17:36pm |
| Modified | 04-02-2022 12:32:39am |
| MD5 | 80d37b2e970ccd9ad187c5efb1efc128 |
| SHA256 | 2284e05edaa23221a1bf87c90f8282cc785855fcc07fe8f2c60cf526470a34d1 |
| Search Google | by EAN or by Title |
| Query Time | 0.0972281 |
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.
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.