Image
EAN-139780790784847   EAN-13 barcode 9780790784847
Product NameRed Dwarf Series IV
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionWeight:0.35 pounds
Amazon.comA Buy on Amazon ~ B0000WN0ZU
SKU2208012
Model2262011
Price New10.00 US Dollars    (curriencies)
Price Used4.15 US Dollars    (curriencies)
Aspect Ratio1.33:1
CastCraig Charles, Danny John-Jules, Robert Llewellyn, Hattie Hayridge, Chris Barrie
GenreCOMEDY
Width5.75 inches    (convert)
Height0.53 inches    (convert)
Length7.75 inches    (convert)
Weight5.6 ounces    (convert)
BindingDvd
FormatMultiple Formats, Color, NTSC
Published01/18/2011
Run Time180 minutes
FeaturesFactory sealed DVD
Long DescriptionBoldly going where no one in their right mind would ever go, this hilarious, cult Sci Fi spoof takes you on a joyride three million years into the future. Those ubiquitous anti-heroes of space travel - Lister, Rimmer, Cat and Kryten - are following up their spectacularly successful series I & II DVD's. In series IV, Ace Rimmer arrives from an alternate dimension, Kryten falls in love and Lister's curry tries to kill him in six more slices of classic Red Dwarf chaos.
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Created02-21-2013 2:26:41am
Modified05-01-2020 1:46:47am
MD59fb654b9503ed0b2bac0e24c84340a3e
SHA25636eb8081acaab698fb753df79ecd0b7e965f708220f2d898dbd510a18cd96f4b
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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
(
    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.

LOAD DATA LOCAL
    INFILE '~/sample_ean_data/sample_ean_product.csv' 
    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.

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