|Product Name||RAMBO FIRST BLOOD 4K Ultra HD + Blu-ray + Digital|
|Category||Electronics / Photography: A/V Media: Movie|
|Amazon.com||Buy on Amazon ~ B07GVXD648|
|Price New||14.99 US Dollars (curriencies)|
|Rating||R - Restricted|
|Trailer||Watch The Trailer|
|Run Time||92 minutes|
|Cast||Sylvester Stallone, Julie Benz, Matthew Marsden, Graham McTavish|
|Run Time||93 minutes|
|Width||5 inches (convert)|
|Height||0.5 inches (convert)|
|Length||7 inches (convert)|
|Weight||20 hundredths pounds (convert)|
|Format||4K, NTSC, Widescreen|
|Run Time||93 minutes|
|Long Description||Vietnam veteran John Rambo has survived many harrowing ordeals in his lifetime and has since withdrawn into a simple and secluded existence in Thailand, where he spends his time capturing snakes for local entertainers, and chauffeuring locals in his old PT boat. Even though he is looking to avoid trouble, trouble has a way of finding him: a group of Christian human rights missionaries, led by Michael Burnett and Sarah Miller, approach Rambo with the desire to rent his boat to travel up the river to Burma. For over fifty years, Burma has been a war zone. The Karen people of the region, who consist of peasants and farmers, have endured brutally oppressive rule from the murderous Burmese military and have been struggling for survival every single day. After some inner contemplation, Rambo accepts the offer and takes Michael, Sarah, and the rest of the missionaries up the river. When the missionaries finally arrive at the Karen village, they find themselves part of a raid by the sadistic Major Pa Tee Tint and a slew of Burmese army men. A portion of the villagers and missionaries are tortured and viciously murdered, while Tint and his men hold the remainder captive. Concerned by their disappearance, the minister in charge of the mission gathers a group of mercenaries and pleas Rambo transport them with his boat, since he knows their last exact location. But Rambo can't stay behind: he joins the team where he belongs, to liberate the survivors from the clutches of Major Tint in what may be one of his deadliest missions ever|
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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.