Image
EAN-130802993302501   EAN-13 barcode 0802993302501
UPC-A802993302501   UPC-A barcode 802993302501
Product NameSNOWBEAST TV Movie - Special Edition Blu-Ray
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B07DF52RDL
Price New16.99 US Dollars    (curriencies)
Run Time88 unknown-units
CastBo Svenson, Clint Walker, Sylvia Sidney, Yvette Mimieux
GenreHorror TV Movie
Run Time88 unknown-units
BindingBlu-ray
Published06/28/2018
Run Time88 unknown-units
Long DescriptionFinally, descending from it's mountain top hideaway, comes SNOWBEAST (1977). Another monster-runs-wild entry in the dizzying world of low-budget TV movies. Penned by Joseph Stefano (THE OUTER LIMITS) and filmed in the dead of winter, SNOWBEAST has become a guilty pleasure for legions of fans. Sporting an impressive cast of Bo Svenson, Yvette Mimieux, Sylvia Sidney and Clint Walker, the film is played straight-faced, regardless of the wacky on-screen antics. Included here are two HD versions of the film; the CBS LATE MOVIE edition from 1978 that clocked in at a running time of 72 Minutes, and the longer Original version, restored to 88 Minutes utilizing both digital and HD 35mm film elements. Audio Commentary by Filmmakers, Fred Olen Ray and David DeCoteau.
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Created06-23-2018 12:09:05am
Modified06-06-2019 9:57:29pm
MD5b9666533e0b60d8fdea5c90eb3f1e862
SHA256f1799f9218ceeab882d990d35ffacf7aff2bd0cb759c0e6d452174e2d0a34e80
Search Googleby EAN or by Title
Query Time0.0196459

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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