Image
EAN-130018713589415   EAN-13 barcode 0018713589415
UPC-A018713589415   UPC-A barcode 018713589415
Product NameBelieve in Me
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionDVD
Web Link
Amazon.comA Buy on Amazon ~ B0070225JA
Price New5.99 US Dollars    (curriencies)
Price Used1.92 US Dollars    (curriencies)
RatingPG - Parental Guidance Suggested
IMDbIMDb Link
TrailerWatch The Trailer
Run Time131 minutes
CastJeffrey Donovan, Samantha Mathis, Bruce Dern, Bob Gunton
DirectorRobert Collector
GenreDRAMA,SPORT
Run Time108 minutes
Width5.3 inches    (convert)
Height0.4 inches    (convert)
Length6.75 inches    (convert)
Weight20 hundredths pounds    (convert)
BindingBlu-ray
Release Year2006
FormatMultiple Formats, Blu-ray, NTSC, Widescreen
Published05/01/2012
Run Time108 minutes
Long DescriptionGirls? The thought of coaching them seems preposterous to Clay Driscoll (earnest newcomer Jeffrey Donovan), who travels to Middleton, Okla., in the 1960s prepared to coach the varsity boys' team. But that position is filled, so he's forced to coach the girls' team -- the Lady Cyclones. Faced with an under-performing crew of untrained players, the coach begins to treat the girls like boys. They run laps in a closed gym and practice shots and plays they've never tried before -- and eventually their "old-fashioned grit" leads them to a Cinderella season culminating with the state championships. Along their way, Driscoll and the girls overcome several obstacles, most of all, gaining a fan base. Meanwhile, big man in town Ellis Brawley (Bruce Dern) can't stand Driscoll and his newfangled idea of empowering female athletes. Of course, the Lady Cyclones are up to the task of proving Brawley wrong. Driven by their caring young coach, the girls determine to play as hard as the boys, even though they know they'll probably end up "farmers' and ranchers' wives." Can they achieve their winning moment at State?
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Created04-16-2012 2:24:31pm
Modified02-05-2019 5:32:00am
MD5e9636a10bce70b5b48d8e5de9157056c
SHA2561b7d6610f631e38b9c4523ba95cf62a37367f2bf20f02c273cd1560e1a7ec4dc
Search Googleby EAN or by Title
Query Time0.0108321

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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