|Product Name||The Holy Land: An Oxford Archaeological Guide (Oxford Archaeological Guides)|
|Category||Book / Magazine / Publication|
|Amazon.com||Buy on Amazon ~ 0199236666|
|Price New||18.15 US Dollars (curriencies)|
|Price Used||17.99 US Dollars (curriencies)|
|Width||1.3 inches (convert)|
|Height||5.4 inches (convert)|
|Length||8.3 inches (convert)|
|Weight||25.12 ounces (convert)|
|Features||Oxford University Press USA|
|Long Description||The geographic heart and soul of Judaism, Islam, and Christianity, the Holy Land has immense significance for the millions of visitors it has attracted since as early as the fifth century BC. Now in an exciting new edition, this popular handbook once again offers tourists an indispensable, illustrated guide to over 200 of the most important archeological and religious sites in the City of Jerusalem and the surrounding area. |
Fully updated with all the latest information, The Holy Land presupposes little knowledge of history or archaeology, giving clear directions on how to find sites and monuments of interest--both well-known locations and those less familiar. With entries including the Damascus Gate, the Via Dolorosa, Mount Sion, the Dead Sea, Hebron, and Jericho, this indispensable book includes detailed maps, plans, and illustrations that further illuminate these spectacular locales. Each entry explains the history and topography of a site as well as its function and significance. In his introduction, Father Jerome Murphy-O'Connor provides a brief historical outline of the Holy Land, from the Stone Age to the Modern Period, and lists sites accordingly. The Fifth Edition includes new information on the crucial recent developments at the Holy Sepulchre and on six completely new sites, including a Middle Bronze Age water system in Jerusalem and what may be the original Pool of Siloam.
A marvelous Baedeker to both the city of Jerusalem and the Holy Land, brimming with practical advice and featuring more than 150 high quality site plans, maps, diagrams, and photographs, this book provides the ultimate visitor's guide to one of the richest archaeological regions in the world.
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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
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
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.