Image
EAN-139780786028535   EAN-13 barcode 9780786028535
Product NameBullets Don't Die (Loner, Book 13) (The Loner)
CategoryBook / Magazine / Publication
Amazon.comA Buy on Amazon ~ 078602853X
SKUB9780786028535
Price New1.96 US Dollars    (curriencies)
Price Used0.01 US Dollars    (curriencies)
Width0.81 inches    (convert)
Height6.72 inches    (convert)
Length4.15 inches    (convert)
Weight0.16 ounces    (convert)
AuthorJ. A. Johnstone
Page Count336
BindingMass Market Paperback
Published09/04/2012
Long DescriptionJourney To A Killing Ground

Conrad Browning, a.k.a. The Loner, knows what it's like to a have a family and a home. And he knows what it's like to lose it all. Now, he has a met man living on the edge of sanity: a good man, a flawed man, a solitary man who might just cost The Loner his life. . .

The Past Won't Let Him Go. The Future Is Even Deadlier.

Jared Tate is an aging U.S. marshal who has saved lives, made enemies, and planted a lot of bad men in hallowed ground. But Tate is in deep trouble, the kind that comes from a troubled mind. Not remembering as much as he wants to, not forgetting as much as he should, Tate has one person to trust. Because the Loner has made Tate's enemies his own, taking on Tate's demons and Tate's fight. In the lawless and violent Kansas territory, a young wanderer and an aging lawman will journey side-by-side one last time--into a fight that will take every bullet they have. . .
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Created11-22-2012 2:33:38pm
Modified02-17-2017 11:46:01pm
MD572e0fbbe96a57175cf2988c5e3fe9290
SHA25667e6c4e23816413d763c0236e21b3cec0866d608726edaf6581be2fa70e42ede
Search Googleby EAN or by Title
Query Time0.0135930

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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