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Cassandra 3.x High Availability

You're reading from   Cassandra 3.x High Availability Achieve scalability and high availability without compromising on performance

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Product type Paperback
Published in Aug 2016
Publisher
ISBN-13 9781786462107
Length 196 pages
Edition 2nd Edition
Languages
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Author (1):
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Robbie Strickland Robbie Strickland
Author Profile Icon Robbie Strickland
Robbie Strickland
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Table of Contents (10) Chapters Close

Preface 1. Cassandras Approach to High Availability FREE CHAPTER 2. Data Distribution 3. Replication 4. Data Centers 5. Scaling Out 6. High Availability Features in the Native Java Client 7. Modeling for Availability 8. Anti-Patterns 9. Failing Gracefully

Executing statements


While the Cluster acts as a central place to manage connection-level configuration options, you will need to establish a Session to perform actual work against the cluster. This is done by calling the connect() method on your Cluster instance.

To run the following examples, you will need to create the contacts keyspace and contact table, as follows:

CREATE KEYSPACE contacts  
WITH REPLICATION = { 
   'class' : 'SimpleStrategy',  
   'replication_factor' : 1 
}; 
 
USE contacts; 
 
CREATE TABLE contact ( 
   id UUID, 
   email TEXT PRIMARY KEY 
); 

After the schema is created, you can connect to the contacts keyspace:

private Session session; // defined at class level 
session = cluster.connect("contacts"); 

Once you have created the Session, you will be able to execute CQL statements, as follows:

String insert = "INSERT INTO contact (id, email) " + 
               "VALUES (" + 
               "bd297650-2885-11e4-8c21-0800200c9a66," + 
               "'contact@example.com...
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