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EAN-130031398137429   EAN-13 barcode 0031398137429
UPC-A031398137429   UPC-A barcode 031398137429
Product NameExtract
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionWeight:0.17 pounds
Amazon.comA Buy on Amazon ~ B004SIP7K8
SKU31398137429
Price New4.58 US Dollars    (curriencies)
Price Used4.28 US Dollars    (curriencies)
Long DescriptionThe creator of Office Space, writer-director Mike Judge (Beavis and Butt-head), moves from cubicles to the assembly line with Extract-- his outrageous return to workplace comedy, featuring a hilarious ensemble cast of quirky characters. About to sell his successful flavor extract company, life is almost sweet for Joel (Jason Bateman) until a freak on-the-job accident happens. Add to that his bored wife (Kristen Wiig), his laid-back, stoner best friend (Ben Affleck), a sexy con artist (Mila Kunis) who blows into town with dollar signs in her bedroom eyes, and a dumb gigolo and life as he knows it turns sour. Filled with laugh-out-loud one-liners and raunchy comedy, Extract is 100% pure hil arity.
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Created04-17-2012 7:33:26pm
Modified01-16-2020 7:39:12pm
MD50c5f08f88a2e1381669670f8cfac914a
SHA2569559d18588c0c7551b2c9748bc6e1459584124aa622029d5d4f694c55b29998e
Search Googleby EAN or by Title
Query Time0.0144441

An article of interest

Making use of the tools we offer

Importing our data into your MySQL database

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.