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EAN-130024543745396   EAN-13 barcode 0024543745396
UPC-A024543745396   UPC-A barcode 024543745396
Product Name5th Quarter, The Blu-ray
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionDVD
Amazon.comA Buy on Amazon ~ B00553K9Z8
Price New1.60 US Dollars    (curriencies)
Price Used2.49 US Dollars    (curriencies)
RatingPG - Parental Guidance Suggested
IMDbIMDb Link
Run Time90 minutes
Aspect Ratio1.85:1
CastAidan Quinn, Andie MacDowell, Anessa Ramsey, R. Keith Harris, Ryan Merriman
Genrefaith_&_spirituality
Run Time90 minutes
Width5.3 inches    (convert)
Height0.35 inches    (convert)
Length6.75 inches    (convert)
Weight15 hundredths pounds    (convert)
BindingBlu-ray
FormatMultiple Formats, AC-3, Blu-ray, Dolby, DTS Surround Sound, NTSC, Subtitled, Widescreen
Published08/30/2011
Run Time90 minutes
FeaturesBlu-Ray Disc 20th Century Fox PROVIDENT-INTEGRITY DIST 024543745396
Long DescriptionIn the spirit of The Blind Side comes this inspiring true story of family, faith and football. Aidan Quinn and Andie MacDowell deliver emotionally stirring performances as the mother and father of Jon Abbate, a rising football star at Wake Forest University. Their lives are suddenly shattered when the family's youngest son, Luke, is killed in a tragic accident. Inspired by Luke's memory, Jon courageously leads the Wake Forest team to a series of last-minute victories -- leading to a thrilling climax.
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Created04-15-2012 9:50:52pm
Modified04-28-2020 4:41:01pm
MD5aae80554efb2e561df37c4b522ca832a
SHA25655cd33699b289092a241f66a889d0e22537a8863c6d53ad3949dd2255c64193d
Search Googleby EAN or by Title
Query Time0.0282710

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.