An overview of new features in the Apache Cassandra 3.0.

Essential information for understanding and using Cassandra.

Cassandra uses a protocol called gossip to discover location and state information about the other nodes participating in a Cassandra cluster.

How data is distributed and factors influencing replication.

A partitioner determines how data is distributed across the nodes in the cluster (including replicas).

A snitch determines which datacenters and racks nodes belong to.

A description about Cassandra's storage structure and engine.

Understanding how Cassandra stores data.

Topics about how up-to-date and synchronized a row of data is on all replicas.

Install using Yum repositories on RHEL, CentOS, and Oracle Linux.

Install using APT repositories on Debian and Ubuntu.

Install on all Linux-based platforms using a binary tarball.

Steps for installing the same version as other nodes in your cluster.

Steps for uninstalling Cassandra by installation type.

Installing Cassandra on cloud providers.

Instructions for various platforms.

Recommendations for production environments.

Install location topics.

The cassandra.yaml file is the main configuration file for Cassandra.

Set environment variables (cassandra.in.sh).

Topics for securing Cassandra.

Using the cassandra.yaml file to configure gossip.

Analyzing the heap dump file can help troubleshoot memory problems.

Topics about configuring virtual nodes.

Steps for configuring Cassandra for multiple network interfaces or when using different regions in cloud implementations.

Cassandra logging functionality using Simple Logging Facade for Java (SLF4J) with a logback backend.

Cassandra provides commit log archiving and point-in-time recovery.

Change Data Capture (CDC) logging captures changes to data.

If not using virtual nodes (vnodes), you must calculate tokens for your cluster.

Cassandra support for integrating Hadoop with Cassandra.

A deployment scenario for a Cassandra cluster with a single datacenter.

A deployment scenario for a Cassandra cluster with multiple datacenters.

Topics for starting and stopping Cassandra.

Topics for adding or removing nodes, datacenters, or clusters.

Cassandra backs up data by taking a snapshot of all on-disk data files (SSTable files) stored in the data directory.

Node repair topics.

Monitoring topics.

Tuning the Java Virtual Machine (JVM) can improve performance or reduce high memory consumption.

Data caching topics.

Configuring memtable thresholds to improve write performance.

Steps for configuring compaction. The compaction process merges keys, combines columns, evicts tombstones, consolidates SSTables, and creates a new index in the merged SSTable.

Compression maximizes the storage capacity of Cassandra nodes by reducing the volume of data on disk and disk I/O, particularly for read-dominated workloads.

Enabling write survey mode.

Cassandra uses Bloom filters to determine whether an SSTable has data for a particular row.

Solutions for migrating from other databases.

Correcting a problem in the gossip state.

A list of the available commands for managing a cluster.

You can start Cassandra 3.0 and 3.1 by adding them to the cassandra-env.sh file (package or tarball installations) or entering them at the command line in tarball installations.

A Java-based stress testing utility for basic benchmarking and load testing a Cassandra cluster.

Tools for using, upgrading, and changing Cassandra SSTables.