Image
EAN-130013023031296   EAN-13 barcode 0013023031296
UPC-A013023031296   UPC-A barcode 013023031296
Product NameSalome's Last Dance
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionDVD
Amazon.comA Buy on Amazon ~ B00000JSIP
Price New119.99 US Dollars    (curriencies)
Price Used99.00 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
Run Time89 minutes
Aspect Ratio1.33:1
CastGlenda Jackson, Stratford Johns, Nickolas Grace, Douglas Hodge
DirectorKen Russell
GenreBIOGRAPHY,COMEDY,DRAMA
Run Time89 minutes
Width5.38 inches    (convert)
Height0.6 inches    (convert)
Length7.5 inches    (convert)
Weight25 hundredths pounds    (convert)
BindingDvd
Release Year1988
FormatColor, NTSC
Run Time89 minutes
Long DescriptionSet in France Oscar Wilde (so it appears) visits a local theatre and is surprised by their retelling of his own work ""Salome'" the story line then digresses in to a VERY twisted portrayal of his work preformed by the local brothel and what can only be described as rejects from the local community theatre. Just when you think it's hit rock bottom it reaches for a new low you didn't think possible and begins to dig add and yet the music continues to dig this in to an ever deepening pit from which you will never get your time back.
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Created07-01-2006
Modified02-10-2019 6:15:29am
MD5b8b559794530e5cf19a4d4c5fc0b78e8
SHA2568bee2054b4c37842f94866030190d08ec2960d38c1898669c68ee19e53618cb9
Search Googleby EAN or by Title
Query Time0.0301361

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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