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EAN-138809151397104   EAN-13 barcode 8809151397104
Product NameThe Apocalypse with Richard Harris (Open Region) English with English and Korean Subtitles
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B00D756L5I
Price Used14.99 US Dollars    (curriencies)
RatingG - General Audiences
IMDbNot on IMDb
Run Time96 minutes
CastBenjamin Sadler Richard Harris, Vittoria Belvedere
GenreDRAMA
Run Time96 minutes
BindingDvd
FormatNTSC, DVD Single, Subtitled, Dolby
Run Time96 minutes
Long DescriptionIt is 90 AD, and the Roman Empire is being run by the Emperor Domitian, who has declared himself to be God and ruler over heaven and earth. The Christians, who do not recognize his divinity...
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Created06-06-2015 8:23:30pm
Modified03-21-2018 4:40:14am
MD5e6dca4fbfcace63046bd15a3710f8eb9
SHA2563c3fc5a1bf2bf7ed0c6c82a0318d11a620ad6e33bef0233ef012660e76597521
Search Googleby EAN or by Title
Query Time0.0360789

An article of interest

Making use of the tools we offer

Importing our data into your MySQL database

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.