Image
EAN-139780803498020   EAN-13 barcode 9780803498020
Product NameA Light In The Dark (Avalon Romance)
LanguageEnglish
CategoryBook / Magazine / Publication
Short DescriptionHardcover
Amazon.comA Buy on Amazon ~ 0803498020
SKUACOMMP2_BOOK_USEDGOOD_0803498020
Price New89.50 US Dollars    (curriencies)
Price Used0.01 US Dollars    (curriencies)
Width5.43 inches    (convert)
Height7.87 inches    (convert)
Weight10.4 ounces    (convert)
AuthorFran Mcnabb
Page Count186
BindingHardcover
Published10/01/2006
Long DescriptionSnow-covered mountains, a secluded cabin, and a crackling fire had always given English professor Margaret Daniels what she needed to escape the chaos of the holiday season. Little did she know that when she opened her door for Paul Reynor to carry in a load of firewood, this holiday would turn out to be unlike any other. Paul's take-control attitude and his down-home charm bring a smile to her lips but add to the confusion of her empty heart. No longer content to live in her late husband's memory, Margaret contemplates a prestigious job offer, a move that seemed so simple before meeting Paul. Now with their growing closeness throughout the snow-filled days, they both fight and attraction that seems totally wrong. Can love bridge the cultural gap and show them the wonders of a second chance?
Created11-14-2012 8:20:34am
Modified05-01-2020 2:14:02am
MD5723cec1e1bfe76ac3afc4d58e7e4fbdd
SHA25600b68660219115bfb3f9e03c59e9e22a152ea0bdd76bd3af5f208aaea840c554
Search Googleby EAN or by Title
Query Time0.0078480

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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