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EAN-139780765360755   EAN-13 barcode 9780765360755
Product NameThe Battle of the Red Hot Pepper Weenies: And Other Warped and Creepy Tales (Weenies Stories)
LanguageEnglish
CategoryBook / Magazine / Publication
Short DescriptionMass Market Paperback
Amazon.comA Buy on Amazon ~ 0765360756
SKUACAMP_BOOK_USEDVERYGOOD_0765360756
ModelFBA-|290970
Price New0.01 US Dollars    (curriencies)
Price Used0.01 US Dollars    (curriencies)
Width0.48 inches    (convert)
Height7.73 inches    (convert)
Length5.22 inches    (convert)
Weight4.8 ounces    (convert)
AuthorDavid Lubar
Page Count192
BindingMass Market Paperback
Published03/02/2010
Long Description

A girl doesn't have a date for the school dance―until her dad makes one for her in his lab. "Lily―meet Stitchy." A family enjoys a nice Thanksgiving dinner―until they are interrupted by a torrent of turkeys out for revenge. A princess meets a pea-brained suitor. And the battle of two red hot pepper weenies ends in flames.

Critically-acclaimed author and master of the macabre David Lubar returns from a journey into the darkest depths of his brain with thirty-five more warped and creepy tales. And in the tradition of the three previous Weenie collections―In the Land of the Lawn Weenies, Invasion of the Road Weenies, and The Curse of the Campfire Weenies―he reveals the inspiration behind each story at the end of the book. Don't be a weenie. Read these stories...if you dare!

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Created10-08-2012 6:11:12am
Modified08-14-2017 3:26:47am
MD5d04c43b5cc5d56b9e6762a958f6095fa
SHA256a83858715252738fe9897062ffcd644c5ea0698cc66759acc17cfd630bbf500d
Search Googleby EAN or by Title
Query Time0.0053611

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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