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EAN-139780062066961   EAN-13 barcode 9780062066961
Product NameGun Games: A Decker/Lazarus Novel (Decker/Lazarus Novels)
CategoryBook / Magazine / Publication
Amazon.comA Buy on Amazon ~ 006206696X
SKUB9780062066961
Price New4.84 US Dollars    (curriencies)
Price Used0.25 US Dollars    (curriencies)
Width1.08 inches    (convert)
Height7.5 inches    (convert)
Length4.19 inches    (convert)
Weight9.6 ounces    (convert)
AuthorFaye Kellerman
Page Count480
BindingMass Market Paperback
Published06/26/2012
FeaturesGreat product!
Long Description“[Kellerman] does for the American cop what P. D. James has done for the British mystery, lifting it beyond its genre.” — Richmond Times-Dispatch “No one working in the crime genre is better.” — Baltimore Sun In Gun Games , the sensational Faye Kellerman once again showcases Peter Decker of the LAPD and Rina Lazarus, arguably the most popular husband and wife team in contemporary crime fiction. A rash of shocking adolescent suicides at an elite Los Angeles private school is at the heart of this gripping thriller that also focuses on the troubled teen Decker and Lazarus have brought into their home: Gabriel Whitman, the son of a psychopath. Herself one-half of one of noir fiction’s true “power couples”—along with her husband, acclaimed mystery writer Jonathan Kellerman—Faye Kellerman once again demonstrates how American police procedural writing is done to perfection with Gun Games .
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Created01-26-2013 1:06:15am
Modified04-30-2020 3:12:28pm
MD583d59d0979f18772251c1d053fd3c011
SHA256cf99f37356aa7483f21f999ff662ed68efc4271d54eba7417276c26d4f0504b0
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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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