|Product Name||Rescue Me - The Complete Series BD|
|Category||Electronics / Photography: A/V Media: Movie|
|Amazon.com||Buy on Amazon ~ B07DKZWHNY|
|Price New||77.19 US Dollars (curriencies)|
|Rating||R - Restricted|
|IMDb||Not on IMDb|
|Run Time||4,022 minutes|
|Cast||Andrea Roth, Denis Leary, John Scurti, Michael Lombardi, Steven Pasquale|
|Run Time||4022 minutes|
|Width||7.5 inches (convert)|
|Height||5.4 inches (convert)|
|Length||0.7 inches (convert)|
|Weight||25 hundredths pounds (convert)|
|Run Time||4,022 minutes|
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)
Behind-the-Scenes Featurettes (20 in total)
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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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
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
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.