|Product Name||The Road Of Danger (Lt. Leary)|
|Category||Book / Magazine / Publication|
|Short Description||Height:6.69 inches / Length:4.09 inches / Weight:0.5 pounds / Width:1.3 inches|
|Amazon.com||Buy on Amazon ~ 1451638787|
|Price New||4.50 US Dollars (curriencies)|
|Price Used||0.50 US Dollars (curriencies)|
|Width||1.3 inches (convert)|
|Height||6.75 inches (convert)|
|Length||4.19 inches (convert)|
|Weight||8.8 ounces (convert)|
|Binding||Mass Market Paperback|
|Long Description||National Best Seller in hardcover. Brilliant and brave starship captain Daniel Leary and ace spy Adele Mundy return to confront a pirate plot and once again save the Republic of Cinnabar. #9 in the bestselling Republic of Cinnabar Navy space adventure series. Captain Daniel Leary with his friend–and spy–Officer Adele Mundy are sent to a quiet sector to carry out an easy task: helping the local admiral put down a coup before it takes place. But then the jealous admiral gets rid of them by sending them off on a wild goose chase to a sector where commerce is king and business is carried out by extortion and gunfights. With anarchy and rebellion in the air, a rogue intelligence officer plots the war that will destroy civilization and enlists the help of a brute whom even torturers couldn't stomach. And, of course, it’s up to Leary and Mundy to put a stop to the madness. About David Drake’s previous RCN novel, What Distant Deeps: “Drake deftly weaves a web of political machinations and intrigue that vividly depicts the costs of war. Fans of Patrick O'Brian's Maturin and Aubrey novels will enjoy this intricate, rousing space opera.” – Publishers Weekly About David Drake’s RCN series: “[R]ousing old-fashioned space opera.” – Publishers Weekly “The fun is in the telling, and Mr. Drake has a strong voice. I want more!” – Philadelphia Weekly Press “[S]pace opera is alive and well. This series is getting better as the author goes along…character development combined with first-rate action and memorable world designs.” – SFReader.com About David Drake: “[P]rose as cold and hard s the metal alloy of a tank…rivals Crane and Remarque…” – Chicago Sun-Times “Drake couldn’t write a bad action scene at gunpoint.” – Booklist|
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|Search Google||by EAN or by Title|
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.