Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Learning Apache Cassandra

You're reading from   Learning Apache Cassandra Managing fault-tolerant, scalable data with high performance

Arrow left icon
Product type Paperback
Published in Apr 2017
Publisher
ISBN-13 9781787127296
Length 360 pages
Edition 2nd Edition
Languages
Concepts
Arrow right icon
Author (1):
Arrow left icon
Sandeep Yarabarla Sandeep Yarabarla
Author Profile Icon Sandeep Yarabarla
Sandeep Yarabarla
Arrow right icon
View More author details
Toc

Table of Contents (15) Chapters Close

Preface 1. Getting Up and Running with Cassandra FREE CHAPTER 2. The First Table 3. Organizing Related Data 4. Beyond Key-Value Lookup 5. Establishing Relationships 6. Denormalizing Data for Maximum Performance 7. Expanding Your Data Model 8. Collections, Tuples, and User-Defined Types 9. Aggregating Time-Series Data 10. How Cassandra Distributes Data 11. Cassandra Multi-Node Cluster 12. Application Development Using the Java Driver 13. Peeking under the Hood 14. Authentication and Authorization

New features in Cassandra 2.2, 3.0, and 3.X

Since the first edition of this mostly covered Cassandra versions 2.1 and below, here is a list of features and improvements that have been made to Cassandra starting version 2.2 and beyond. This will give you a gist of how Cassandra has matured over the last year:

  • JSON in CQL3: Cassandra 2.2 has support for inserting and selecting JSON data
  • User-defined functions: These can be defined to apply a function to data stored in Cassandra
  • User-defined aggregates: Using user-defined functions, custom aggregation functions can be stored in Cassandra
  • Role-based access control: In addition to per-user access control, now roles can be defined for role-based access control
  • Support for Windows 7, Windows 8, Windows 10, Windows Server 2008, and Windows Server 2012
  • The storage engine has been refactored
  • Materialized views: Materialized views have been added to handle server side denormalization, with consistency between base and view
  • G1 garbage collector: The default garbage collector has been changed to G1 from CMS (concurrent mark and sweep), which has markedly increased performance for higher values of JVM heap sizes
  • Hints are stored in files and replay has been improved
Apart from these, there have been a plethora of operational improvements. You can take a look at them at https://docs.datastax.com/en/cassandra/3.x/cassandra/features.html.
You have been reading a chapter from
Learning Apache Cassandra - Second Edition
Published in: Apr 2017
Publisher:
ISBN-13: 9781787127296
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime