Image
EAN-130043396420991   EAN-13 barcode 0043396420991
UPC-A043396420991   UPC-A barcode 043396420991
Product NameNo Good Deed 
CategoryElectronics / Photography: A/V Media: Movie / TV
Web Link
Amazon.comA Buy on Amazon ~ B00N57B4ZA
Model31411852
Price New5.84 US Dollars    (curriencies)
Price Used3.99 US Dollars    (curriencies)
RatingPG-13 - Parents Strongly Cautioned
IMDbIMDb Link
TrailerWatch The Trailer
Run Time84 minutes
Aspect Ratio2.40:1
CastTaraji P. Henson , Idris Elba , Leslie Bibb
DirectorSam Miller
GenreCRIME,DRAMA,THRILLER
Run Time84 minutes
Width5.25 inches    (convert)
Height0.5 inches    (convert)
Length7.25 inches    (convert)
Weight15 hundredths pounds    (convert)
BindingDvd
Release Year2014
FormatMultiple Formats, Color, Subtitled, Widescreen, NTSC
Published09/22/2015
Run Time84 minutes
FeaturesShrink-wrapped
Long DescriptionAn unstable escaped convict terrorizes a woman who is alone with her two children.
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0025192237799: Boy Next Door
0024543752516: N-secure
Created04-12-2018 12:39:48am
Modified05-26-2018 10:36:23pm
MD54de9b35bd14bb7b9ea485c9c6b408768
SHA25618a74088daf49f82d65ca9e037914e675a45522ac2f8b1d9046798a7d260755f
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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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