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EAN-13	9780807832875
Product Name	The New Encyclopedia Of Southern Culture: Volume 13: Gender (V. 13)
Language	English
Category	Book / Magazine / Publication
Amazon.com	Buy on Amazon ~ 0807832871
SKU	0807832871
Price New	41.75 US Dollars    (curriencies)
Price Used	42.97 US Dollars    (curriencies)
Long Description	This volume of The New Encyclopedia of Southern Culture reflects the dramatic increase in research on the topic of gender over the past thirty years, revealing that even the most familiar subjects take on new significance when viewed through the lens of gender. The wide range of entries explores how people have experienced, understood, and used concepts of womanhood and manhood in all sorts of obvious and subtle ways. The volume features 113 articles, 65 of which are entirely new for this edition. Thematic articles address subjects such as sexuality, respectability, and paternalism and investigate the role of gender in broader subjects, including the civil rights movement, country music, and sports. Topical entries highlight individuals such as Oprah Winfrey, the Grimke sisters, and Dale Earnhardt, as well as historical events such as the capture of Jefferson Davis in a woman's dress, the Supreme Court's decision in Loving v. Virginia , and the Memphis sanitation workers' strike, with its slogan, "I AM A MAN." Bringing together scholarship on gender and the body, sexuality, labor, race, and politics, this volume offers new ways to view big questions in southern history and culture.
Created	11-21-2012 2:35:51pm
Modified	05-01-2020 2:38:12am
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SHA256	4d306ccbffea24d96784e672b6f99ac5676f8c6c6bb9ba4e8d34c7e8433a36d1
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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.