Image
EAN-130654930316597   EAN-13 barcode 0654930316597
UPC-A654930316597   UPC-A barcode 654930316597
Product NameProm Night
CategoryElectronics / Photography: A/V Media: Movie
Web Link
Amazon.comA Buy on Amazon ~ B00LBFFR2Y
Price New13.62 US Dollars    (curriencies)
Price Used12.75 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
Run Time92 minutes
CastLeslie Nielsen, Jamie Lee Curtis, Casey Stevens, Anne-Marie Martin
DirectorPaul Lynch
GenreHORROR,THRILLER
Run Time92 minutes
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length7 inches    (convert)
Weight15 hundredths pounds    (convert)
BindingBlu-ray
Release Year1980
FormatMultiple Formats, Blu-ray, Anamorphic, Surround Sound, Widescreen
Published09/09/2014
Run Time92 minutes
FeaturesShrink-wrapped
Long DescriptionFor six long years, Hamilton High School seniors Kelly Lynch, Jude Cunningham, Wendy Richards and Nick McBride have been hiding the truth of what happened to ten-year-old Robin Hammond the day her broken body was discovered near an abandoned convent. The foursome kept secret of how they taunted Robin - backed her into a corner until, frightened, she stood on a window ledge... and fell to her death. Though an accident, the then-twelve-year-olds feared they would be held responsible and vowed never to tell. But someone else was there that day... watching, and now, that someone is ready to exact murderous revenge on prom night.
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Created07-24-2018 12:51:38am
Modified05-21-2019 7:59:28pm
MD506ba7522cb7c40b9e63b0c0e91224ef1
SHA2568f1602f3bb9c8453772f3270df65c54249266b6b252ce96d157017d159e249ef
Search Googleby EAN or by Title
Query Time0.0209019

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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