Image
EAN-139780345511690   EAN-13 barcode 9780345511690
Product NameKiss Me, Kill Me: A Novel Of Suspense (Lucy Kincaid)
LanguageEnglish
CategoryBook / Magazine / Publication
Short DescriptionHeight:6.87 inches / Length:4.18 inches / Weight:0.42 pounds / Width:1.08 inches
Amazon.comA Buy on Amazon ~ 0345511697
SKUGR-80X1-2ARR
Price New2.47 US Dollars    (curriencies)
Price Used0.25 US Dollars    (curriencies)
Width1.07 inches    (convert)
Height6.89 inches    (convert)
Length4.17 inches    (convert)
Weight6.88 ounces    (convert)
AuthorAllison Brennan
Page Count416
BindingMass Market Paperback
Published02/22/2011
FeaturesGreat product!
Long DescriptionKISS THE GIRLS AND MAKE THEM DIE   Lucy Kincaid has firsthand experience dealing with deadly criminal predators, and she’s fully prepared to share her many talents with the FBI. But when her career plans are derailed, her boyfriend, security expert Sean Rogan, asks for help on his latest private investigation. Using her well-honed cyber-hunting skills, Lucy is soon on the trail of a missing teenage girl with a penchant for disappearing—and a shocking secret life. FBI Agent Suzanne Madeaux is also tracking someone: a serial killer on the loose in New York City. Dubbed by the press the Cinderella Strangler, he cruises seamy underground sex parties, where drug-fueled women make for easy pickings. As Lucy and Sean’s desperate search collides with the FBI’s hunt, Lucy isn’t about to step aside. Haunted by painful memories of her own harrowing encounters with evil, she’s determined to keep any more innocents from meeting the fate she so narrowly escaped. Delving deep into the twisted psyche of a remorseless killer, Lucy must confront her own fears—even if it means risking a future job with the FBI and future happiness with Sean.
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Created11-19-2012 7:58:55am
Modified04-30-2020 6:47:09pm
MD5ce593c563a64384c52ab923f57a26180
SHA2563ecd4a0b70b36cda4470691bbe7bb987c981f2feb3f6a422e9aec85114f46dd6
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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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