Image
EAN-130738329230272   EAN-13 barcode 0738329230272
UPC-A738329230272   UPC-A barcode 738329230272
Product NameThe Night Strangler (Special Edition)
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B07FY9J5N3
Price New12.92 US Dollars    (curriencies)
Price Used12.84 US Dollars    (curriencies)
Run Time90 minutes
CastDarren McGavin, Simon Oakland
GenreHORROR
Run Time90 minutes
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight20 hundredths pounds    (convert)
BindingDvd
FormatAnamorphic, Color, NTSC
Run Time90 minutes
FeaturesShrink-wrapped
Long DescriptionBRAND NEW 4K RESTORATION! Supernatural phenomena, baffling murders and offbeat humor mark this second Night Stalker offering with a great cast and suspense so palpable, it'll feel like a presence right there in the room with you. Surfacing in Seattle, Kolchak (Darren McGavin, The Night Stalker) uncovers another maddening mystery: Every 21 years—for the past century—a serial killer commits a spree of murders, drains his victims' blood and then quietly disappears. But Kolchak is onto this monster and is about to discover a shocking underground lair... an army of rotting corpses... and the ageless madman behind it all. The great Dan Curtis (Burnt Offerings) produced and directed this highly-rated TV movie written by legendary sci-fi/horror writer Richard Matheson (I Am Legend). The stellar cast includes Jo Ann Pflug (Scream of the Wolf), Simon Oakland (Bullitt), Scott Brady (He Walked by Night), Wally Cox (TV’s Mister Peepers), Margaret Hamilton (The Wizard of Oz), John Carradine (House of the Long Shadows) and Al Lewis (TV’s The Munsters). Special Features: -Brand New 4K Restoration -NEW Audio Commentary by Film Historian Tim Lucas -NEW Interview with Composer Bob Cobert -"Directing 'The Night Strangler'" Featurette -Newly Commissioned Art by Sean Phillips
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0738329230265: Night Stalker
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0025192369100: Kolchak The Night Stalker
Created09-06-2018 12:23:30am
Modified04-30-2020 4:31:49am
MD5ed552fdd6bd68e69f1057ceb77507626
SHA25604c9184381fa2c33733c619c2dc449c600f390634c177286207400eac83cfdab
Search Googleby EAN or by Title
Query Time0.0147140

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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