Image
EAN-139780760319178   EAN-13 barcode 9780760319178
Product NameThe Devil in the White City: Murder, Magic, and Madness at the Fair That Changed America
LanguageEnglish
CategoryBook / Magazine / Publication
Short DescriptionPaperback
Amazon.comA Buy on Amazon ~ 0375725601
SKUVIB0760319170
Model1611848
Price New5.56 US Dollars    (curriencies)
Price Used0.25 US Dollars    (curriencies)
Width0.92 inches    (convert)
Height7.99 inches    (convert)
Length5.21 inches    (convert)
Weight15.52 ounces    (convert)
AuthorErik Larson
Page Count447
BindingPaperback
Published02/10/2004
FeaturesChicago Exposition, Nineteenth Century, True Crime, Serial Killer, Thriller
Long DescriptionState Fairs are eagerly anticipated summertime celebrations across the country, each offering its own dizzying array of sights, sounds, aromas (some more pleasant than others), and entertainment options ranging from high-flying midway thrills to the traditional livestock and farm equipment shows. Take a nostalgic trip through the state fairs of the late 19th century through the mid-20th century. Over 200 photographs, authentic advertisements, and other memorabilia illustrate the thrill shows, butter queens, sideshows, dancing girls, tractor shows, carnival rides, auto races, hog barns, and square dances of the American state fair.
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Created09-10-2012 8:06:48pm
Modified05-01-2020 12:55:14am
MD5af7688f1a055cb634b4d1743b78689a5
SHA2564ebde2ef2e23c3fdd3a327bc5517371be7ab8f958d583e857a1c9d99361c7200
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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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