Image
EAN-139780790734064   EAN-13 barcode 9780790734064
Product NameAmadeus
CategoryElectronics / Photography: A/V Media: Movie
Web Link
Amazon.comA Buy on Amazon ~ 0790734060
SKU712099839-0790734060
Price New3.75 US Dollars    (curriencies)
Price Used2.00 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
TrailerWatch The Trailer
Run Time160 minutes
CastF. Murray Abraham, Tom Hulce, Elizabeth Berridge, Roy Dotrice
DirectorMilos Forman
GenreBIOGRAPHY,DRAMA,HISTORY
Run Time158 minutes
Weight7.36 ounces    (convert)
BindingVHS Tape
Release Year1984
FormatClosed-captioned, Color, Dolby, Original recording reissued, NTSC
Published12/31/1997
Run Time158 minutes
Long DescriptionAntonio Salieri believes that Wolfgang Amadeus Mozart's music is divine and miraculous. He wishes he was himself as good a musician as Mozart so that he can praise the Lord through composing. He began his career as a devout man who believes his success and talent as a composer are God's rewards for his piety. He's also content as the respected, financially well-off, court composer of Austrian Emperor Joseph II. But he's shocked to learn that Mozart is such a vulgar creature, and can't understand why God favored Mozart to be his instrument. Salieri's envy has made him an enemy of God whose greatness was evident in Mozart. He is ready to take revenge against God and Mozart for his own musical mediocrity.
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Created03-13-2013 12:38:42am
Modified08-26-2018 4:57:31pm
MD5fefed0d7108dd987dc914027ec5bdcac
SHA2561bf2d124b871b0b30fc418dc25f32a46a75383aede6536c6cd6b86632bcb804f
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Query Time0.0120130

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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