Image
EAN-130883929537761   EAN-13 barcode 0883929537761
UPC-A883929537761   UPC-A barcode 883929537761
Product NameLego Movie
CategoryElectronics / Photography: A/V Media: Movie / TV
Web Link
Amazon.comA Buy on Amazon ~ B01BHKNYR2
Model35273875
Price New10.25 US Dollars    (curriencies)
Price Used12.68 US Dollars    (curriencies)
RatingPG - Parental Guidance Suggested
IMDbIMDb Link
TrailerWatch The Trailer
Run Time100 minutes
CastWill Arnett, Elizabeth Banks, Craig Berry, Alison Brie
DirectorPhil Lord, Christopher Miller
GenreANIMATION,ACTION,ADVENTURE
Width5.3 inches    (convert)
Height0.45 inches    (convert)
Length6.75 inches    (convert)
Weight20 hundredths pounds    (convert)
BindingBlu-ray
Release Year2014
Format4K
Long DescriptionThe LEGO Movie is a 3D animated film which follows lead character, Emmet a completely ordinary LEGO mini-figure who is identified as the most "extraordinary person" and the key to saving the Lego universe. Emmet and his friends go on an epic journey to stop the evil tyrant, Lord Business.
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Created08-28-2018 2:58:46am
Modified02-17-2019 2:07:33pm
MD5616f45c7c75e12e452f909d72c01d884
SHA256c5992cc178e105c849eff034824fdb1e102aa11c9e43a559428383c08888aa08
Search Googleby EAN or by Title
Query Time0.0181930

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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