Image
EAN-130012569709980   EAN-13 barcode 0012569709980
UPC-A012569709980   UPC-A barcode 012569709980
Product NameMillion Dollar Baby
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionDVD
Web Link
Amazon.comA Buy on Amazon ~ B0009JZV60
Price New4.96 US Dollars    (curriencies)
Price Used0.78 US Dollars    (curriencies)
RatingPG-13 - Parents Strongly Cautioned
IMDbIMDb Link
TrailerWatch The Trailer
Run Time132 minutes
CastClint Eastwood, Hilary Swank, Morgan Freeman, Jay Baruchel
DirectorClint Eastwood
GenreDRAMA,SPORT
Run Time132 minutes
Width5.5 inches    (convert)
Height0.75 inches    (convert)
Length7.5 inches    (convert)
Weight44 hundredths pounds    (convert)
BindingDvd
Release Year2004
FormatMultiple Formats, AC-3, Box set, Closed-captioned, Color, Dolby, Dubbed, NTSC, Subtitled, Widescreen
Published02/13/2019
Run Time132 minutes
Long DescriptionWanting to learn from the best, aspiring boxer Maggie Fitzgerald wants Frankie Dunn to train her. At the outset he flatly refuses saying he has no interest in training a girl. Frankie leads a lonely existence, alienated from his only daughter and having few friends. Maggie's rough around the edges but shows a lot of grit in the ring and he eventually relents. Maggie not only proves to be the boxer he always dreamed of having under his wing but a friend who fills the great void he's had in his life. Maggie's career skyrockets but an accident in the ring leads her to ask Frankie for one last favor.
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Created04-17-2012 8:08:38pm
Modified02-13-2019 3:03:29am
MD5f82fd2b51985c04948afa7394c209105
SHA2569d1ae6c54774578bd41f19417df61aa18885badc96b08c0c8f7ec728027fb731
Search Googleby EAN or by Title
Query Time0.0179000

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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