Image
EAN-130097361466347   EAN-13 barcode 0097361466347
UPC-A097361466347   UPC-A barcode 097361466347
Product NameKung Fu Panda
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionDVD
Amazon.comA Buy on Amazon ~ B0071BY1PG
Price New21.50 US Dollars    (curriencies)
Price Used26.34 US Dollars    (curriencies)
Weight6.08 ounces    (convert)
BindingBlu-Ray
Long DescriptionEnthusiastic, big and a little clumsy, Po works in his family's noodle shop while daydreaming about becoming a Kung Fu master. His dreams soon become reality when he is unexpectedly chosen to join the world of Kung Fu and study alongside his idols-the legendary fighters Tigress, Crane, Mantis, Viper and Monkey-under the leadership of their guru, Master Shifu. But before they know it, the vengeful and treacherous snow leopard Tai Lung is headed their way, and it's up to Po to defend everyone from the oncoming threat. Can he turn his dreams of becoming a Kung Fu hero into reality? Po puts his heart and his girth into the task, and ultimately finds that his greatest weaknesses turn out to be his greatest strengths.
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Created04-17-2012 7:57:20pm
Modified04-29-2020 11:31:57am
MD59e656b60f173f63aa97523dfd5d2015f
SHA256a76319fa843a66c559050431aba9f31df732a6a6806570f17033d2d29a54a825
Search Googleby EAN or by Title
Query Time0.0156591

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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