Image
EAN-130025192186660   EAN-13 barcode 0025192186660
UPC-A025192186660   UPC-A barcode 025192186660
Product NameHellboy II: The Golden Army
CategoryElectronics / Photography: A/V Media: Movie / TV
Web Link
Amazon.comA Buy on Amazon ~ B00C6B887S
Price New14.98 US Dollars    (curriencies)
Price Used7.42 US Dollars    (curriencies)
RatingPG-13 - Parents Strongly Cautioned
IMDbIMDb Link
TrailerWatch The Trailer
Run Time120 minutes
Aspect Ratio1.85:1
CastRon Perlman, Selma Blair, Doug Jones, John Alexander
DirectorGuillermo del Toro
GenreACTION,ADVENTURE,FANTASY
Run Time240 minutes
Width5.3 inches    (convert)
Height0.5 inches    (convert)
Length6.75 inches    (convert)
Weight40 hundredths pounds    (convert)
BindingBlu-ray
Release Year2008
FormatMultiple Formats, Blu-ray, Ultraviolet, Color, Limited Edition, Widescreen, Digital_copy
Run Time240 minutes
Long DescriptionIn this continuation to the adventure of the demon superhero, an evil elf breaks an ancient pact between humans and creatures, as he declares war against humanity. He is on a mission to release The Golden Army, a deadly group of fighting machines that can destroy the human race. As Hell on Earth is ready to erupt, Hellboy and his crew set out to defeat the evil prince before The Golden Army can destroy humanity's existence.
Similar Items0883929406579: Blade Trilogy
0883929064137: Catwoman
0794043141461: Blade II
0760137191582: Crimson Peak
0043396483767: Ghost Rider / Ghost Rider Spirit of Vengeance - Set
0043396191723: Hellboy
0031398142416: Mimic The Director's Cut
0025195047401: Hulk
0024543268154: Fantastic Four Double Feature
0013132628677: Sin City: A Dame to Kill For
0013132619637: Hellboy Dbl Feature Bd
0003139814241: Mimic The Director's Cut
Created01-30-2016 5:06:40am
Modified11-03-2018 8:07:36am
MD534d10f408c0f77bbfce1329f48b0a84e
SHA256f4dae77eb27c0070a69120a36b5a9da954810e4cf6c219941895900a615da165
Search Googleby EAN or by Title
Query Time0.0218720

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.

Close

Search

Close

Share