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EAN-130786936855906   EAN-13 barcode 0786936855906
UPC-A786936855906   UPC-A barcode 786936855906
Product NameThor Ragnarok
CategoryElectronics / Photography: A/V Media: Movie / TV
Web Link
Amazon.comA Buy on Amazon ~ B07886H8TF
Price New18.99 US Dollars    (curriencies)
Price Used12.95 US Dollars    (curriencies)
RatingPG-13 - Parents Strongly Cautioned
IMDbIMDb Link
TrailerWatch The Trailer
Run Time130 minutes
Aspect Ratio2.40:1
CastChris Hemsworth, Tom Hiddleston, Cate Blanchett, Idris Elba
DirectorTaika Waititi
GenreACTION,ADVENTURE,COMEDY
Run Time130 minutes
Width5.25 inches    (convert)
Height0.55 inches    (convert)
Length6.75 inches    (convert)
Weight22 hundredths pounds    (convert)
BindingBlu-ray
Release Year2017
FormatAC-3, Animated, Color, Dolby, DTS Surround Sound, Dubbed, NTSC, Subtitled, Widescreen
Run Time130 minutes
FeaturesShrink-wrapped
Long DescriptionThor is imprisoned on the other side of the universe and finds himself in a race against time to get back to Asgard to stop Ragnarok, the destruction of his homeworld and the end of Asgardian civilization, at the hands of an all-powerful new threat, the ruthless Hela.
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Created01-16-2018 1:55:34pm
Modified11-15-2018 5:59:35pm
MD599fc07803eada35f773727ceac18b77f
SHA2565c00d0cf949874ec026ec9af7b6ba74b4277a88fb7f818d874d843edd49d15c7
Search Googleby EAN or by Title
Query Time0.0363660

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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