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EAN-130883929105137   EAN-13 barcode 0883929105137
UPC-A883929105137   UPC-A barcode 883929105137
Product NameNfl: Dallas Cowboys Heroes
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie
Short DescriptionDVD
Amazon.comA Buy on Amazon ~ B003L7DK9W
SKU56014
Price New3.89 US Dollars    (curriencies)
Price Used13.82 US Dollars    (curriencies)
Long DescriptionThe Dallas Cowboys will forever be known as “America’s team.” The Cowboys, who won the hearts of America, have also won five Vince Lombardi trophies. Some of the game’s greatest players and coaches have donned the single star and created a culture of excellence in Dallas. Their careers are profiled in this riveting two-disc set – Dallas Cowboys Heroes. Get an inside look at the legends who made the Dallas Cowboys one of the greatest franchises in NFL history. America’s team has woven bits of silver and blue into the fabric of the National Football League from the iconic coach, Tom Landry, to “Captain Comeback” Roger Staubach, to the “Triplets” of the ’90s, to Tony Romo and the stars of today. With Dallas Cowboys Heroes, NFL Films tells this incredible story from the players’ perspective. It is a must-have for all Cowboys fans.
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9780760335208: Dallas Cowboys: The Complete Illustrated History
9780316077552: The Dallas Cowboys: The Outrageous History of the Biggest, Loudest, Most Hated, Best Loved Football Team in America
0883476131290: A Football Life Tom Landry
0883476120638: NFL: A Football Life: Tom Landry & Jimmy Johnson
0012569736276: NFL Super Bowl Collection - Dallas Cowboys
Created04-17-2012 8:12:56pm
Modified10-05-2017 4:31:03am
MD513153267f718cb6a95ae78dbd01d2370
SHA256daee2dc0da5f0176332c663ed5d4297695fc5b4a4e354cf7a507b53199478773
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Query Time0.0131109

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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