Image
EAN-130738329226589   EAN-13 barcode 0738329226589
UPC-A738329226589   UPC-A barcode 738329226589
Product NameEtoile aka toile
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B076N3PV5Y
Price New12.33 US Dollars    (curriencies)
Price Used12.75 US Dollars    (curriencies)
Run Time101 minutes
CastCharles Durning, Gary McCleery, Jennifer Connelly, Laurent Terzieff, Olimpia Carlisi
GenreComedies
Run Time101 minutes
Width5.25 inches    (convert)
Height0.5 inches    (convert)
Length7.25 inches    (convert)
Weight15 hundredths pounds    (convert)
BindingDvd
FormatAnamorphic, Color, Dolby, NTSC, Widescreen
Run Time101 minutes
FeaturesShrink-wrapped
Long DescriptionA Scorpion Releasing Release - Academy Award winner Jennifer Connelly (A Beautiful Mind) stars in this haunting, mysterious tale of the uncanny and the supernatural, made back to back early in her career with her iconic role in Dario Argento's Phenomena. When American ballet student Claire Hamilton (Connelly) arrives in Budapest to attend an exclusive dance school, she soon becomes entranced with the legend of a famous dancer named Natalie who died the previous century. Soon Claire is being groomed for a fateful performance of Swan Lake that will merge past and present, with an otherworldly twist. Gary McCleery (Taps, Baby It's You), Laurent Terzieff (The Milky Way, Blood Wedding), and Charles Durning (Dark Night of the Scarecrow, When a Stranger Calls) also star in this evocative, stylish dark fantasy, now making its American home video debut in sparkling high definition!

Special Features:
-Interview with director Peter Del Monte
-Interview with executive producer Claudio Mancini
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Created09-06-2018 12:23:27am
Modified05-14-2019 3:27:32pm
MD5e348da330007ae1c7374bf789a59a5c0
SHA256e47edf9c6ca0a1bb0e606819667636c5054c13ff570039a0fc229d2338cc1498
Search Googleby EAN or by Title
Query Time0.0047550

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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