Image
EAN-130025192098369   EAN-13 barcode 0025192098369
UPC-A025192098369   UPC-A barcode 025192098369
Product NameRed
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B003Q6D2BE
Model15462992
Price New7.50 US Dollars    (curriencies)
Price Used1.50 US Dollars    (curriencies)
RatingPG-13 - Parents Strongly Cautioned
IMDbIMDb Link
Run Time111 minutes
CastBruce Willis, Morgan Freeman
GenreComedy
Run Time111 minutes
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length6 inches    (convert)
Weight20 hundredths pounds    (convert)
BindingBlu-ray
FormatAC-3, Blu-ray, Dolby, DTS Surround Sound, NTSC, Special Edition, Subtitled, Widescreen
Run Time111 minutes
FeaturesFactory sealed DVD
Long DescriptionFrank (Willis) is a former black-ops CIA agent living a quiet life alone... until the day a hit squad shows up to kill him. With his identity compromised, Frank reassembles his old team Joe (Freeman), Marvin (Malkovich) and Victoria (Mirren) and sets out to prove that they still have a few tricks up their sleeves. Stand back and watch the bullets fly in this explosive action-comedy that critics call a rip-roaring good time. DVD Features Deleted and Extended Scenes; Access Red: Immersive 6-part interactive feature including pop up trivia, videos, interviews and more!; Audio commentary w/ retired CIA field agent Robert Baer
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0025192213106: Red 2
0025192213083: Red 2
Created09-03-2011 9:05:23am
Modified04-28-2020 4:42:39pm
MD559bf70c62540432276d6a46fac0e8394
SHA25627cbadc93a740fee97e322743dd984fe51fdda715facd0cc4f04164e4a24bac3
Search Googleby EAN or by Title
Query Time0.0262270

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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