|Product Name||Tom Jones|
|Category||Electronics / Photography: A/V Media: Movie / TV|
|Amazon.com||Buy on Amazon ~ B077HKKCPL|
|Price New||25.99 US Dollars (curriencies)|
|Price Used||19.31 US Dollars (curriencies)|
|Run Time||128 minutes|
|Cast||Albert Finney, Susannah York|
|Run Time||128 minutes|
|Width||5.3 inches (convert)|
|Height||0.5 inches (convert)|
|Length||6.75 inches (convert)|
|Weight||25 hundredths pounds (convert)|
|Format||Special Edition, Subtitled, Widescreen|
|Run Time||128 minutes|
|Long Description||In the early 1960s, at the height of the British New Wave, a movement whose gritty realism they had helped establish, director Tony Richardson and playwright John Osborne set out for more fanciful narrative territory. Tom Jones brings a theatrical flair to Henry Fielding s canonical eighteenth-century novel, boisterously chronicling the misadventures of the foundling of the title (Albert Finney, in a career-defining turn), whose easy charm seems to lead him astray at every turn from his beloved, the wellborn Sophie Western (Susannah York). This spirited picaresque, evocatively shot in England s rambling countryside and featuring an extraordinary ensemble cast, went on to become a worldwide sensation, winning the Oscar for best picture on the way to securing its status as a classic of irreverent wit and playful cinematic expression. TWO-BLU-RAY SPECIAL EDITION FEATURES - New 4K digital restorations of the original theatrical version of the film and the 1989 director s cut, both supervised by director of photography Walter Lassally, with uncompressed monaural and stereo soundtracks - New program on the film s cinematography featuring a conversation between Lassally and critic Peter Cowie - Excerpt from a 1982 episode of The Dick Cavett Show featuring actor Albert Finney - New interview with actor Vanessa Redgrave on director Tony Richardson, to whom she was married from 1962 to 1967 - New interview with film scholar Duncan Petrie on the movie s impact on British cinema - Illustrated archival audio interview with composer John Addison on his Oscar-winning score for the film - New interview with the director s-cut editor, Robert Lambert - PLUS: An essay by scholar Neil Sinyard|
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|Search Google||by EAN or by Title|
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.