Image
EAN-130043396525214   EAN-13 barcode 0043396525214
UPC-A043396525214   UPC-A barcode 043396525214
Product NameHotel Transylvania 3: Summer Vacation
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B07DY289WK
Price New12.98 US Dollars    (curriencies)
Price Used17.99 US Dollars    (curriencies)
RatingPG - Parental Guidance Suggested
IMDbIMDb Link
TrailerWatch The Trailer
Run Time97 minutes
Aspect Ratio1.85:1
CastAdam Sandler, Andy Samberg, Selena Gomez, Kevin James
DirectorGenndy Tartakovsky
GenreANIMATION,ADVENTURE,COMEDY,FAMILY,FANTASY
Width5.5 inches    (convert)
Height0.75 inches    (convert)
Length7.75 inches    (convert)
Weight20 hundredths pounds    (convert)
BindingDVD
Release Year2018
FormatClosed-captioned, Color, Subtitled, Widescreen, NTSC
FeaturesShrink-wrapped
Long DescriptionMavis surprises Dracula with a family voyage on a luxury Monster Cruise Ship so he can take a vacation from providing everyone else's vacation at the hotel. The rest of Drac's Pack cannot resist going along. But once they leave port, romance arises when Dracula meets the mysterious ship captain, Ericka. Now it's Mavis's turn to play the overprotective parent, keeping her dad and Ericka apart. Little do they know that his "too good to be true" love interest is actually a descendant of Abraham Van Helsing, ancient nemesis to Dracula and all other monsters.
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Created05-11-2015 5:56:04pm
Modified10-21-2018 7:51:29am
MD544ac7b9aa74c5c9057b39a49552a95f8
SHA25696e7647c4ab3954efe7fab98afc2a49f03d0f7f44cd5c02858d2b1fffc237d9d
Search Googleby EAN or by Title
Query Time0.0110791

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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