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EAN-139781573447515   EAN-13 barcode 9781573447515
Product NameBest Erotic Romance
CategoryAdult Oriented Item: Book / Publication
Short DescriptionHeight:0 inches / Length:0 inches / Weight:0 pounds / Width:0 inches
Amazon.comA Buy on Amazon ~ 157344751X
SKU000AMA.5354
Price New2.00 US Dollars    (curriencies)
Price Used1.98 US Dollars    (curriencies)
Width1 inches    (convert)
Height8 inches    (convert)
Length5.5 inches    (convert)
Weight8.96 ounces    (convert)
Page Count242
BindingPaperback
Published12/06/2011
Long DescriptionThis inaugural collection of erotic romance features the very best of the genre. In erotic romance, the sexual component is critical to the development of the romantic relationship. Each of these masterfully written tales contains the essence of true romance: a central love story and an emotionally-satisfying, optimistic ending. What sets Best Erotic Romance apart is the scorching hot sex and the happily-ever-after (or happy-for-now) ending. Award-winning romance writer and editor Kristina Wright and her cast of terrific romance writers have crafted stories that touch the hearts and minds of readers, and linger in the memory for a long, long time.
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Created11-22-2012 1:46:20pm
Modified05-01-2020 5:44:22pm
MD5699f793c74a8d10684a055d1e66688bf
SHA2565c69404a54d7bb3e986612dfe46aad8bc3bdf7756dcf6da44d8ad3a361a6783d
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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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