Image
EAN-130859422006417   EAN-13 barcode 0859422006417
UPC-A859422006417   UPC-A barcode 859422006417
Product NameDark Angel The Ascent Blu-ray
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B01LWLCERR
Price New12.95 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
Run Time81 minutes
CastConstantin Draganescu, Angela Featherstone, Cristina Stoica, Valentin Teodesiu
DirectorLinda Hassani
GenreHORROR,ROMANCE
Run Time76 minutes
BindingBlu-ray
Release Year1994
FormatWidescreen, Color, NTSC, Surround Sound
Run Time76 minutes
Long DescriptionA demoness from Hell, Veronica Iscariot, uninterested in tormenting the souls of damned sinners, ascends to the world above and finds our world full of evil and corruption. Veronica decides her mission in life is to punish the wicked and evil and goes about this with a bloody vengeance. Along the way she meets and falls in love with a doctor, Max Harris, who tends her wounds after an accident.
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Created07-02-2018 8:13:46pm
Modified05-10-2019 6:39:29am
MD53cf554a2616ceaa27e022692d40d69e9
SHA25666d5ca54e7fba0e50154d26264198634ac1545e58d658b72ddbac2fcc6a9efbe
Search Googleby EAN or by Title
Query Time0.0206470

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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