Image
EAN-130826663186253   EAN-13 barcode 0826663186253
UPC-A826663186253   UPC-A barcode 826663186253
Product NameMangler
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B07GW7NY17
Price New27.99 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
TrailerWatch The Trailer
Run Time106 minutes
CastRobert Englund, Ted Levine, Daniel Matmor, Jeremy Crutchley
DirectorTobe Hooper
GenreHORROR,MYSTERY
Run Time106 minutes
Width7.5 inches    (convert)
Height5.4 inches    (convert)
Length0.7 inches    (convert)
Weight37 hundredths pounds    (convert)
BindingBlu-ray
Release Year1995
FormatNTSC, Widescreen
Run Time106 minutes
Long DescriptionWhen an accident involving a folding machine at an old laundry occurs, detective John Hunton decides to investigate. What he finds is the owner of the laundry, Bill Gartley. Meanwhile the folding machine has acquired a taste for the flesh of human beings, but is there more to Bill Gartley than meets the eye, and does he know what monster hides behind the machine?
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0012236184195: Mangler Reborn
Created09-27-2018 12:01:30am
Modified05-13-2019 9:47:28am
MD50ca5cb1ddfa8e6dc3abdcbfb8272ca9b
SHA25603c512e7bc17fe696e18226b21718264943d01754740fa7d517dc29b437ec19b
Search Googleby EAN or by Title
Query Time0.0235128

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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