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EAN-130786936850345   EAN-13 barcode 0786936850345
UPC-A786936850345   UPC-A barcode 786936850345
Product NameZootopia
CategoryElectronics / Photography: A/V Media: Movie / TV
Web Link
Amazon.comA Buy on Amazon ~ B01B2CX0LU
Model35437824
Price New14.50 US Dollars    (curriencies)
Price Used3.30 US Dollars    (curriencies)
RatingPG - Parental Guidance Suggested
IMDbIMDb Link
TrailerWatch The Trailer
Run Time108 minutes
Aspect Ratio2.40:1
CastGinnifer Goodwin, Jason Bateman, Idris Elba, Jenny Slate
DirectorByron Howard, Rich Moore, Jared Bush(co-director)
GenreANIMATION,ADVENTURE,COMEDY
Run Time108 minutes
Width5.25 inches    (convert)
Height0.55 inches    (convert)
Length6.75 inches    (convert)
Weight22 hundredths pounds    (convert)
BindingBlu-ray
Release Year2016
FormatAnimated, Color, Dubbed, NTSC, Subtitled, Widescreen
Run Time108 minutes
FeaturesShrink-wrapped
Long DescriptionFrom the largest elephant to the smallest shrew, the city of Zootopia is a mammal metropolis where various animals live and thrive. When Judy Hopps becomes the first rabbit to join the police force, she quickly learns how tough it is to enforce the law. Determined to prove herself, Judy jumps at the opportunity to solve a mysterious case. Unfortunately, that means working with Nick Wilde, a wily fox who makes her job even harder.
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Created08-19-2017 6:55:57am
Modified01-14-2021 3:58:16pm
MD5dbf826da626ee39f7ff2c98d4a3331a5
SHA256dd0864c27759d67d0da3b46e9fb7a0082fc51c884fa93dfd3740fc8749f2c70f
Search Googleby EAN or by Title
Query Time0.0267119

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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