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EAN-139786300252608   EAN-13 barcode 9786300252608
Product NameThe Bird With the Crystal Plumage [VHS]
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Web Link
Amazon.comA Buy on Amazon ~ 6300252604
Price New5.95 US Dollars    (curriencies)
Price Used6.25 US Dollars    (curriencies)
RatingPG - Parental Guidance Suggested
IMDbIMDb Link
TrailerWatch The Trailer
Run Time96 minutes
CastEnrico Maria Salerno, Eva Renzi, Suzy Kendall, Tony Musante, Umberto Raho
DirectorDario Argento
GenreHORROR,MYSTERY,THRILLER
Run Time96 minutes
BindingVHS Tape
Release Year1970
FormatColor, NTSC
Published12/31/1988
Run Time96 minutes
Long DescriptionIn Italy, the American writer Sam Dalmas witnesses an attempt of murder of the owner of an art gallery, Monica Ranieri, a couple of days before returning home. Inspector Morosini, who is in charge of investigating the three previous murderers of the serial-killer, asks for help to Dalmas and takes his passport. Dalmas decides to stay with his girlfriend Julia and to help the police in the investigation. The killer threatens Dalmas and Julia by phone and the police overhears a strange noise in the tape. Soon the serial killer stalks Julia and Damas. Who might be the killer?
Similar Items0606949234423: Marilyn Manson (Portrait Of An American Family) 04/03/97
Created04-08-2014 12:38:40am
Modified04-27-2018 2:06:18am
MD5eb81a14bf1827e0fce18c2ff9345b2c0
SHA256a5b69adc2c85c629c8ecc80cafc5ca36f9f0ca80a2c631afd8ef06c5880a8e69
Search Googleby EAN or by Title
Query Time0.0086641

An article of interest

Making use of the tools we offer

Importing our data into your MySQL database

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.