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EAN-130794043161568   EAN-13 barcode 0794043161568
UPC-A794043161568   UPC-A barcode 794043161568
Product NameThe Conjuring
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
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Amazon.comA Buy on Amazon ~ B00BEIYMAG
Price New16.99 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
TrailerWatch The Trailer
Run Time112 minutes
CastVera Farmiga, Patrick Wilson, Lili Taylor, Ron Livingston
DirectorJames Wan
GenreHORROR,MYSTERY,THRILLER
Release Year2013
Long DescriptionIn 1971, Carolyn and Roger Perron move their family into a dilapidated Rhode Island farm house and soon strange things start happening around it with escalating nightmarish terror. In desperation, Carolyn contacts the noted paranormal investigators, Ed and Lorraine Warren, to examine the house. What the Warrens discover is a whole area steeped in a satanic haunting that is now targeting the Perron family wherever they go. To stop this evil, the Warrens will have to call upon all their skills and spiritual strength to defeat this spectral menace at its source that threatens to destroy everyone involved.
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Created07-27-2013 1:15:39pm
Modified01-15-2021 10:24:36am
MD5dc2cf38e0e6b24e907191c895a07be47
SHA256da796272c868ac4bc8747fd261a6ea9bc54229eacccf8d2370998f2bc04af3c2
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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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