EAN-130683904633330   EAN-13 barcode 0683904633330
UPC-A683904633330   UPC-A barcode 683904633330
Product NameRescue Me - The Complete Series BD
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B07DKZWHNY
Price New77.19 US Dollars    (curriencies)
RatingR - Restricted
IMDbNot on IMDb
Run Time4,022 minutes
CastAndrea Roth, Denis Leary, John Scurti, Michael Lombardi, Steven Pasquale
Run Time4022 minutes
Width7.5 inches    (convert)
Height5.4 inches    (convert)
Length0.7 inches    (convert)
Weight25 hundredths pounds    (convert)
FormatDolby, Widescreen
Run Time4,022 minutes
Long Description
They save us, but who saves them?
For the first time ever, all seven seasons of Rescue Me are available in one complete Blu-ray box set.
From series creators Denis Leary and Peter Tolan, the highly acclaimed Rescue Me galvanized audiences with its uncompromising portrayal of the New York City firefighters of 62 Truck, whose duty to save lives puts their own in constant turmoil - on the front lines, in the firehouse, and at home.
Leary is electrifying in his role as Tommy Gavin, a deeply driven first responder with a combustible personality and personal demons to match. Through seven groundbreaking seasons, we follow his gripping story, along with those of his fellow crew. Provocative, profane, dramatic, humorous, and unflinchingly honest, it is an unforgettable journey of courage, conflict and ultimate salvation.
This unflinching, darkly funny tale of fires and firefighters is one of the most underrated shows in recent years. Its subject matter is undeniably fresh, fascinating and full of danger: the problems of readjusting to everyday life as a New York firefighter after the devastation of 9/11. Sarah Hughes, The Guardian
"...absolutely brilliant.... the best show on television." David Kronke, LA Daily News
Starring: Denis Leary (The Amazing Spider-Man), Andrea Roth (Netflix s 13 Reasons Why), Daniel Sunjata (ABC s Notorious), Callie Thorne (USA s Necessary Roughness), Steven Pasquale (CBS s Doubt)
Bonus Features:
Behind-the-Scenes Featurettes (20 in total)
Blooper Reels
Deleted and Extended Scenes (65 in total)
2 Commentaries with Denis Leary and Peter Tolan
On-Set Location Tour
Firehouse: Real Stories from America's Bravest
The Creators' Last Call
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Created06-25-2018 12:11:58am
Modified05-29-2019 9:37:31am
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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 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.

    INFILE '~/sample_ean_data/sample_ean_product.csv' 
    INTO TABLE ean_product

Finally, lets look at the data that we just imported.


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.