Image
EAN-139780745329741   EAN-13 barcode 9780745329741
Product NameUnderstanding the Somalia Conflagration: Identity, Political Islam and Peacebuilding
LanguageEnglish
CategoryBook / Magazine / Publication
Short DescriptionHeight:8.46 inches / Length:5.31 inches / Weight:0.6 pounds / Width:0.59 inches
Amazon.comA Buy on Amazon ~ 0745329748
SKUNP9780745329741
Price New15.90 US Dollars    (curriencies)
Price Used7.47 US Dollars    (curriencies)
Width0.6 inches    (convert)
Height8.47 inches    (convert)
Length5.32 inches    (convert)
Weight9.6 ounces    (convert)
AuthorAfyare Abdi Elmi
Page Count216
BindingPaperback
Published08/04/2010
FeaturesUsed Book in Good Condition
Long Description

Somalia has been devastated by a US-backed Ethiopian invasion and years of civil war, and it has long been without a central government. Against this background of violence, Somali academic Afyare Abdi Elmi, attempts to explain the multiple dimensions of the conflict and find a peace-building consensus.

Somalia is a failed state and a Muslim state. This combination means the West assumes that it will become a breeding ground for extremism. The country regularly hits the headlines as a piracy hotspot. This combination of internal division and outside interference makes for an intensely hostile landscape. Elmi shows that only by addressing the problem of the statelessness in the country can the long process of peace begin. He highlights clan identities, Islam and other countries in the region as the key elements in any peace-building effort.

This unique account from an author who truly understands Somalia should be required reading for students and academics of international relations and peace / conflict studies.

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Created11-21-2012 9:15:05pm
Modified09-09-2017 2:15:16am
MD5805fc70e70bcb109b6473f83719a759b
SHA25671a8722743be3aad8737563ebdfe9387f87eafc3931cc82b4559b3131063cbf7
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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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