Image
EAN-130025192175893   EAN-13 barcode 0025192175893
UPC-A025192175893   UPC-A barcode 025192175893
Product NameLone Survivor
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B00HEPEBWC
Model211948
Price New5.81 US Dollars    (curriencies)
Price Used1.53 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
TrailerWatch The Trailer
Run Time121 minutes
Aspect Ratio2.40:1
CastMark Wahlberg , Taylor Kitsch , Emile Hirsch
DirectorPeter Berg
GenreACTION,BIOGRAPHY,DRAMA
Run Time122 minutes
Width5.25 inches    (convert)
Height0.3 inches    (convert)
Length6.5 inches    (convert)
Weight20 hundredths pounds    (convert)
BindingBlu-ray
Release Year2013
FormatBlu-ray, Ultraviolet, Color, Widescreen, Digital_copy
Published01/26/2016
Run Time122 minutes
FeaturesFactory sealed DVD
Long DescriptionMarcus Luttrell and his team set out on a mission to capture or kill notorious Taliban leader Ahmad Shah, in late June 2005. Marcus and his team are left to fight for their lives in one of the most valiant efforts of modern warfare.
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Created04-12-2018 12:12:09am
Modified06-05-2019 5:26:06pm
MD5088ea0bd82f5b7be211ac35b8a0d023a
SHA2569e6e56e5f32784e08159ee4522492c309ea22432e1f9db11a856cb81abc534b0
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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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