Image
EAN-130025192402401   EAN-13 barcode 0025192402401
UPC-A025192402401   UPC-A barcode 025192402401
Product NameMune: Guardian of the Moon
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B074VDGXKM
Price New12.95 US Dollars    (curriencies)
Price Used9.95 US Dollars    (curriencies)
RatingPG - Parental Guidance Suggested
IMDbIMDb Link
TrailerWatch The Trailer
Run Time86 minutes
Aspect Ratio2.40:1
CastChristian Slater, Ed Helms, Jeff Dunham, Patton Oswalt, Rob Lowe
DirectorAlexandre Heboyan, Benoît Philippon
GenreScience-Fiction/Fantasy
Run Time86 minutes
Width5.75 inches    (convert)
Height0.5 inches    (convert)
Length8 inches    (convert)
Weight25 hundredths pounds    (convert)
BindingDvd
Release Year2014
FormatAnimated, Color, NTSC, Subtitled, Widescreen
Run Time86 minutes
FeaturesShrink-wrapped
Long DescriptionIn a land far away, the sun and moon shine only thanks to heroic Guardians. But when an unlikely little creature, Mune, is chosen to be the new Guardian of the Moon, a vengeful ex-Guardian takes advantage of his inexperience and steals the sun! Now Mune must team up with Sohone, the swaggering Guardian of the Sun, and Glim, a headstrong girl with a taste for adventure, to rescue the sun and save their world.
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Created11-29-2017 12:02:49am
Modified04-27-2018 2:24:26am
MD5a1bafaf9ba7f1b6838fcfd2d5be7fb35
SHA256b245fd5a37baf8884780032d58b058c4acb41fb9ea125ad495caf783c88b731e
Search Googleby EAN or by Title
Query Time0.0175509

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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