Image
EAN-135060034577898   EAN-13 barcode 5060034577898
Product NameBad Boys
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B000KRNMKS
Price New4.95 US Dollars    (curriencies)
Price Used4.05 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
Run Time123 minutes
Aspect Ratio1.78:1
CastSean Penn, Reni Santoni, Jim Moody, Eric Gurry
DirectorRick Rosenthal
GenreCRIME,DRAMA,THRILLER
Run Time105 unknown-units
Weight15 hundredths pounds    (convert)
BindingDvd
Release Year1983
FormatPAL
Run Time105 unknown-units
Long DescriptionChicago crime kid Mick O'Brien (Sean Penn) has been sent to a juvenile prison for vehicular manslaughter. Most unfortunately, the person he kills is the kid brother of his nemesis Paco Moreno (Esai Morales), who vows revenge by raping Mick's girlfriend (Ally Sheedy). Paco is caught and sent to the same prison where he reworks his revenge plan, and Mick has no choice but to defend himself.
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Created06-09-2014 11:08:35am
Modified05-26-2018 10:27:36pm
MD523fb83e2302546b7c72e8f14e7051a5b
SHA256742f8904bb8c554c25f6ede7d551c29e240fc9d66ac9ed741fed3246a0df5b1a
Search Googleby EAN or by Title
Query Time0.0203650

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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