EAN-135014503107024   EAN-13 barcode 5014503107024
Product NameOnly Fools and Horses
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B00005NGUJ
Price New7.30 US Dollars    (curriencies)
Price Used1.98 US Dollars    (curriencies)
Aspect Ratio1.33:1
CastDavid Jason, Nicholas Lyndhurst, Roger Lloyd Pack, Buster Merryfield, John Challis
Run Time207 unknown-units
Long DescriptionUK Released DVD/Blu-Ray item. It MAY NOT play on regular US DVD/Blu-Ray player. You may need a multi-region US DVD/Blu-Ray player to play this item. Only Fools and Horses is perhaps the last great and universally popular British sitcom. Series 4 reached 1985; Grandad has sadly passed on, to be replaced at Nelson Mandela House by Uncle Albert (Buster Merryfield). Only Fools and Horses improved with age and the fourth series was still confined to the half-hour format, is good but not vintage (that occurred during Delboy's "Yuppy" years). Episodes such as "It's Only Rock'n'Roll", in which Rodney joins a band, show all the failings sitcoms usually expose when getting to grips with such alien subject matter: the situations have yet to involve the full complement of the entire Nag's Head ensemble and there are still occasional disturbing racial references. However, Uncle Albert's introduction does bring the series up a notch, as his furtive brandy-swilling, yarn-spinning and doddery bungling swiftly get on Delboy and Rodney's wick (though he's not without some cleverly introduced pathos), while episodes such as "Watching the Girls Go By" and "As One Door Closes" build effectively up to the sort of big, laugh-out-loud final twists that would become the series' trademark. On the DVD: full screen, no special features, sadly, except scene selection. --David Stubbs
Created04-06-2015 1:03:44pm
Modified10-09-2017 5:35:57pm
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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.