|Product Name||The Roberts Court: The Struggle For The Constitution|
|Category||Book / Magazine / Publication|
|Amazon.com||Buy on Amazon ~ 1451627513|
|Price New||5.00 US Dollars (curriencies)|
|Price Used||1.99 US Dollars (curriencies)|
|Width||1.2 inches (convert)|
|Height||9.25 inches (convert)|
|Length||6.25 inches (convert)|
|Weight||22.24 ounces (convert)|
|Long Description||The Roberts Court, seven years old, sits at the center of a constitutional maelstrom. Through four landmark decisions, Marcia Coyle, one of the most prestigious experts on the Supreme Court, reveals the fault lines in the conservative-dominated Court led by Chief Justice John Roberts Jr. Seven minutes after President Obama put his signature to a landmark national health care insurance program, a lawyer in the office of Florida GOP attorney general Bill McCollum hit a computer key, sparking a legal challenge to the new law that would eventually reach the nation’s highest court. Health care is only the most visible and recent front in a battle over the meaning and scope of the U.S. Constitution. The battleground is the United States Supreme Court, and one of the most skilled, insightful, and trenchant of its observers takes us close up to watch it in action. Marcia Coyle’s brilliant inside account of the High Court captures four landmark decisions—concerning health care, money in elections, guns at home, and race in schools. Coyle examines how those cases began—the personalities and conflicts that catapulted them onto the national scene—and how they ultimately exposed the great divides among the justices, such as the originalists versus the pragmatists on guns and the Second Amendment, and corporate speech versus human speech in the controversial Citizens United campaign case. Most dramatically, her analysis shows how dedicated conservative lawyers and groups are strategizing to find cases and crafting them to bring up the judicial road to the Supreme Court with an eye on a receptive conservative majority. The Roberts Court offers a ringside seat at the struggle to lay down the law of the land.|
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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.