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EAN-139780230750562   EAN-13 barcode 9780230750562
Product NameLook Me In The Eye: My Life With Asperger's
LanguageEnglish
CategoryBook / Magazine / Publication
Short DescriptionPaperback
Amazon.comA Buy on Amazon ~ 0307396185
SKUNU-LBR-00843379
Price New3.48 US Dollars    (curriencies)
Price Used0.25 US Dollars    (curriencies)
Width0.7 inches    (convert)
Height8 inches    (convert)
Length5.2 inches    (convert)
Weight8.8 ounces    (convert)
AuthorJohn Elder Robison
Page Count302
BindingPaperback
Published09/09/2008
FeaturesGreat product!
Long DescriptionNEW YORK TIMES BESTSELLER “As sweet and funny and sad and true and heartfelt a memoir as one could find.” —from the foreword by Augusten Burroughs Ever since he was young, John Robison longed to connect with other people, but by the time he was a teenager, his odd habits—an inclination to blurt out non sequiturs, avoid eye contact, dismantle radios, and dig five-foot holes (and stick his younger brother, Augusten Burroughs, in them)—had earned him the label “social deviant.” It was not until he was forty that he was diagnosed with a form of autism called Asperger’s syndrome. That understanding transformed the way he saw himself—and the world. A born storyteller, Robison has written a moving, darkly funny memoir about a life that has taken him from developing exploding guitars for KISS to building a family of his own. It’s a strange, sly, indelible account—sometimes alien yet always deeply human.
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SHA2560b17397cbc24fad04856486c39898819859825cbbde37904c80fe065b19b1764
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An article of interest

Making use of the tools we offer

Importing our data into your MySQL database

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.