| Image |  |
| EAN-13 | 9780821768174  |
| Product Name | Highland Knight (Zebra Historical Romance) |
| Language | English |
| Category | Book / Magazine / Publication |
| Short Description | Paperbound |
| Amazon.com |  Buy on Amazon ~ 0821768174 |
| Price New | 12.86 US Dollars (curriencies) |
| Price Used | 0.91 US Dollars (curriencies) |
| Width | 1.05 inches (convert) |
| Height | 6.86 inches (convert) |
| Length | 4.32 inches (convert) |
| Weight | 6.56 ounces (convert) |
| Author | Hannah Howell |
| Page Count | 383 |
| Binding | Mass Market Paperback |
| Published | 06/01/2001 |
| Features | Great product! |
| Long Description | When Cameron MacAlpin learns the identity of the golden beauty tossed before him as a debt payment, he can't believe his fortune! For cat-eyed Avery Murray is the perfect weapon to use against Payton Murray-Avery's brother-who dishonored Cameron's own sister. Yet his plan to deliver the same insult and avenge his clan is thwarted by spirited Avery herself, who tempts him to forget everything but the passion coursing through his blood. Still, a knight of the Highlands owes his allegiance to his clan before all else-even his heart. Avery is outraged at her captor's accusations against her brother. Though he makes it no secret that he intends to use her to avenge his sister's lost honor, he adds to her fury by vowing to take her by seduction, rather than force. Worse, she knows deep down that this virile knight stirs her as no other man ever has. Courageously, passionately, she gives him freely what he vows to take-her body and her heart-knowing that she could lose all on the chance of everlasting love. |
| Similar Items | 9781420132922: Highland Angel 9781420131819: Highland Lover 9781420128772: Highland Champion (The Murrays) 9781420124828: Highland Honor 9780821779958: Highland Bride (Zebra Historical Romance) 9781420118810: Highland Master (The Murrays) 9781420114812: Highland Vow 9781420114799: Highland Promise (The Murrays) 9780821780015: Highland Sinner (Zebra Historical Romance) 9780821779989: Highland Barbarian 9780821774274: Highland Groom (Zebra Historical Romance) 9780739434383: Highland Angel |
| Created | 06-02-2012 1:05:00am |
| Modified | 05-02-2017 9:50:38pm |
| MD5 | a64fa895fa27c6358ebabea4ee7d8580 |
| SHA256 | 4ba2c86b6a5eceba3185d6742470ee870be86197d66d7d93bdd5b491476316b0 |
| Search Google | by EAN or by Title |
| Query Time | 0.0248740 |
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.