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EAN-130031398234265   EAN-13 barcode 0031398234265
UPC-A031398234265   UPC-A barcode 031398234265
Product NameHeist
CategoryElectronics / Photography: A/V Media: Movie / TV
Web Link
Amazon.comA Buy on Amazon ~ B0176IENI8
Model35225778
Price New4.06 US Dollars    (curriencies)
Price Used2.49 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
TrailerWatch The Trailer
Run Time93 minutes
CastRobert De Niro , Jeffrey Dean Morgan , Dave Bautista
DirectorScott Mann
GenreACTION,CRIME,THRILLER
Run Time93 minutes
Width5.4 inches    (convert)
Height0.55 inches    (convert)
Length7.5 inches    (convert)
Weight20 hundredths pounds    (convert)
BindingDvd
Release Year2015
FormatColor, NTSC, Widescreen
Published12/29/2015
Run Time93 minutes
FeaturesShrink-wrapped
Long DescriptionA father is without the means to pay for his daughter's medical treatment. As a last resort, he partners with a greedy co-worker to rob a casino. When things go awry they're forced to hijack a city bus.
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Created04-12-2018 12:42:57am
Modified05-15-2019 12:19:32pm
MD5228185e14d30bdefdff7dcf87ae62ad9
SHA2562bf19aae752fcf402e915f173f47860be449997811461019372211792c26c8be
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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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