Image
EAN-130012569767539   EAN-13 barcode 0012569767539
UPC-A012569767539   UPC-A barcode 012569767539
Product NameThe Super/With Honors
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B000FOPPCO
Price New25.00 US Dollars    (curriencies)
Price Used11.05 US Dollars    (curriencies)
RatingR - Restricted
Run Time187 minutes
Aspect Ratio1.33:1
CastBrendan Fraser, Joe Pesci, Madolyn Smith Osborne, Rubén Blades, Vincent Gardenia
GenreComedy
Run Time187 minutes
Width5.75 inches    (convert)
Height0.53 inches    (convert)
Length7.75 inches    (convert)
Weight20 hundredths pounds    (convert)
BindingDvd
FormatClosed-captioned, Color, NTSC
Run Time187 minutes
Long DescriptionReady, set - Joe! Joe Pesci (1990 Oscar -winning Best Supporting Actor for GoodFellas) energizes two laugh-getters with his mega-watt comedy talents. In The Super (Side A), you see a squalid apartment house, but slumlord Louie Kritski (Pesci) sees a gold mine. The less he does to improve the building, the more he stands to clear when the rents come due. But that's before a judge orders Louie to live in his own rundown property and shape it up...or ship out to jail. Next, Harvard classmates find it takes more than schooling to make the grade in With Honors (Side B). Pesci plays Simon Wilder, a feisty drifter who insinuates himself into the lives of four students (including Brendan Fraser and Patrick Dempsey). If you want a degree, go to Harvard. If you want an education, go see Simon Wilder!
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Created05-22-2010
Modified02-13-2019 11:11:20am
MD51edd6b6541bc8db25352b6b609b15aed
SHA2564e9a184f31c0bd0cb65acffdb3be64389f83464a41e497f024da9e9a3d17f30a
Search Googleby EAN or by Title
Query Time0.0190580

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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