Image
EAN-130704400016905   EAN-13 barcode 0704400016905
UPC-A704400016905   UPC-A barcode 704400016905
Product NameRage of Bahamut Genesis - The Complete Series
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B01ASMCFE8
Model35273806
Price New43.78 US Dollars    (curriencies)
Price Used41.30 US Dollars    (curriencies)
Run Time300 minutes
CastChris Rager, Ian Sinclair, Tia Ballard
GenreFantasy
Run Time300 minutes
Width5.75 inches    (convert)
Height0.5 inches    (convert)
Length7.75 inches    (convert)
Weight20 hundredths pounds    (convert)
BindingBlu-ray
FormatAnimated, Color, Dolby, NTSC, Widescreen
Run Time300 minutes
Long Description

Meet Favaro Leone, professional bounty hunter and casual scoundrel. When he’s not crossing swords with his arch nemesis and former best friend, Kaisar Lidford, he can be found at the local tavern spinning tall tales to anyone who will listen. After a one-winged demoness overhears his drunken boasts, she wrangles him into an unbreakable contract that will force him to make good on the promise he made.

With nothing but a destination in mind, the pair set out on their grand adventure—completely unaware of the dark forces working to fulfill an ancient prophecy that will bring about the end of the world. That is, unless a charming rogue, a clueless demon, a disgraced knight, and a tiny zombie can band together to change the course of history.

Visually arresting and fun from start to finish, Rage of Bahamut is a can’t-miss title for any action-fantasy fan.

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Created04-18-2018 12:58:09am
Modified05-23-2019 3:23:39am
MD5517adfc585c5c1d3345e16a85c3a0d75
SHA2561caa0a497e12427fb934f1865976c8eb9d6230b4cc91e2d77dd4eaa579fcfd30
Search Googleby EAN or by Title
Query Time0.0224311

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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