Image
EAN-130043396420960   EAN-13 barcode 0043396420960
UPC-A043396420960   UPC-A barcode 043396420960
Product NameNo Good Deed
CategoryElectronics / Photography: A/V Media: Movie / TV
Web Link
Amazon.comA Buy on Amazon ~ B00N575EU6
Model31411850
Price New3.99 US Dollars    (curriencies)
Price Used2.99 US Dollars    (curriencies)
RatingPG-13 - Parents Strongly Cautioned
IMDbIMDb Link
TrailerWatch The Trailer
Run Time84 minutes
Aspect Ratio2.40:1
CastIdris Elba, Taraji P. Henson, Leslie Bibb, Kate del Castillo
DirectorSam Miller
GenreCRIME,DRAMA,THRILLER
Run Time84 minutes
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length6.75 inches    (convert)
Weight15 hundredths pounds    (convert)
BindingBlu-ray
Release Year2014
FormatBlu-ray, Subtitled
Published09/22/2015
Run Time84 minutes
FeaturesShrink-wrapped
Long DescriptionA lonely mother, invites a handsome car accident victim into her home. Desperate for a little attention, she doesn't realize she's entertaining a sociopathic, yet charming escape convict. In one terrorizing night her life completely changes as she fight for her own life and the life of her children in No Good Deed.
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Created04-12-2018 12:39:48am
Modified11-03-2018 2:23:34pm
MD5b98c41ed42883d4540e999b56a02b808
SHA256d07a02ce5690aa301ce80966038e2a9689e05ec7d4d075977f2afa7e82b07771
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Query Time0.0197890

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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