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EAN-139780190218867   EAN-13 barcode 9780190218867
Product NameThe Modern Middle East: A History
CategoryBook / Magazine / Publication
Amazon.comA Buy on Amazon ~ 019021886X
Price New49.01 US Dollars    (curriencies)
Price Used27.49 US Dollars    (curriencies)
Width0.8 inches    (convert)
Height6 inches    (convert)
Length9.2 inches    (convert)
Weight119 hundredths pounds    (convert)
AuthorJames L. Gelvin
Page Count432
BindingPaperback
Published06/01/2015
FeaturesThe Modern Middle East A History
Long DescriptionExtensively revised and updated in the wake of the Arab uprisings, the changes that they fostered, and the fault lines that they exposed, the fourth edition of The Modern Middle East: A History explores how the forces associated with global modernity have shaped the social, economic, cultural, and political life in the region over the course of the past 500 years. Beginning with the first glimmerings of the current international state and economic systems in the sixteenth century, this book examines the impact of imperial and imperialist legacies, the great nineteenth-century transformation, cultural continuities and upheavals, international diplomacy, economic booms and busts, the emergence of authoritarian regimes and the varied forms of resistance to them and to imperialism in an area of vital concern to us all. The Modern Middle East: A History , Fourth Edition, is engagingly written--drawing from the author's own research and other studies--and enriched with maps and photographs, original documents, and an abundance of supplementary materials.
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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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