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Getting started
Information about using the Administrator Guide, plus new and key features in DataStax Enterprise.
About this guide
Information for capacity planning, installation, configuration, migration, performance monitoring, security, backup, data recovery, key topics, and more.
New features
Features released in DataStax Enterprise 6.0.
Key features
A brief description of the DataStax Enterprise, its key features, and integrated tools.
Release notes
DataStax Enterprise release notes include cluster requirements, upgrade guidance, components, changes and enhancements, issues, and resolved issues for DataStax Enterprise 6.0.
Installing DSE
Guidance for choosing the best DataStax Enterprise installation method for your purposes.
Information about configuring DataStax Enterprise, such as recommended production setting, configuration files, snitch configuration, start-up parameters, heap dump settings, using virtual nodes, and more.
Recommended production settings
Recommended settings for Linux platforms on DataStax Enterprise.
YAML and configuration properties
Information on how to configure DataStax Enterprise using the cassandra.yaml, dse.yaml,, and files.
Cloud provider snitches
Set up Ec2Snitch, Ec2MultiRegionSnitch, GoogleCloudSnitch, or CloudstackSnitch.
Start-up parameters
Modify DataStax Enterprise system properties from the startup command line.
Choosing a compaction strategy
Information on how to select the best compaction strategy.
NodeSync service and table options
Set up continuous background repair.
Using multiple network interfaces
Steps for configuring DataStax Enterprise for multiple network interfaces or when using different regions in cloud implementations.
Configuring gossip settings
Using the cassandra.yaml file to configure gossip.
Configuring the heap dump directory
Analyzing the heap dump file can help troubleshoot memory problems.
Configuring Virtual Nodes
Topics about setting up and enabling virtual nodes (vnodes).
Logging configuration
Topics about changing logging locations, setting logging levels, archiving logs, and CDC logging.
Initializing a cluster
Initializing a DataStax Enterprise (DSE) cluster includes configuring, and choosing how the data is divided across the nodes in the cluster.
Initializing datacenters
Determine whether to use a single or multiple datacenter deployment per workload type.
Use cases for listen address
Various use cases and correct cassandra.yaml settings for listen_address.
Initializing single-token architecture datacenters
Deploy a single-token datacenter when not using virtual nodes (vnodes).
Securing DataStax Enterprise
DataStax Enterprise includes advanced data protection for enterprise-grade databases including DSE Unified Authentication, role-based access control (authorization), encryption, and auditing.
Security checklists
Lists of security measures required for protecting a DataStax Enterprise database.
Securing the environment
To fully protect your data, ensure that your network is secure and temporary files are secure.
Configuring DSE Unified Authentication
Detailed steps to set up authentication and authorization in a DataStax Enterprise environment.
Managing roles
Set up roles to manage permissions on database objects.
Database access control
Configure roles and assign permissions to manage access to database resources for authenticated users.
Connecting to authentication enabled clusters
Setting up local or DSE managed JMX user authentication.
Auditing database activity
Capture DataStax Enterprise database activity to a log file or table.
Transparent data encryption
Configure transparent data encrypt (TDE) on sensitive data stored in tables and in configuration files.
Configuring SSL
Securing data inflight for DataStax Enterprise components.
Securing Spark connections
Communication between Spark applications and transactional nodes, masters and workers, and intercommunication between Spark drivers and executors can be encrypted.
Security FAQs
DataStax Enterprise security features frequently asked questions.
DSE advanced functionality
Information on using DSE Analytics, DSEFS, DSE Search, DSE Graph, DSE Advanced Replication, DSE In-Memory, DSE Multi-Instance, DSE Tiered Storage and DSE Performance services.
DSE Analytics
DataStax Enterprise 6.0 Analytics includes integration with Apache Spark.
DSE Search
DSE Search allows you to quickly find data and provide a modern search experience for your users, helping you create features like product catalogs, document repositories, ad-hoc reporting engines, and more.
DSE Graph
Documentation for developers and administrators on installing, configuring, and using the features and capabilities of DSE Graph.
DSE Management Services
DSE Management Services automatically handle administration and maintenance tasks and assist with overall database cluster management.
DSE Advanced Replication
Documentation for configuring and using configurable distributed data replication.
DSE In-Memory
DataStax Enterprise includes DSE In-Memory for storing data to and accessing data exclusively from memory.
DSE Multi-Instance
Documentation for running multiple DataStax Enterprise nodes on a single host machine.
DSE Tiered Storage
Documentation for automating smart data movement across different types of storage media.
Tools include dse commands, dsetool, fs-stress tool, pre-flight check, and yaml_diff tools, and the sstableloader.
DataStax Bulk Loader - dsbulk
Tool for bulk loading and unloading DSE data.
A list of the available commands for managing a cluster.
The dse commands for advrep, cassandra, client-tool, DSEFS, Gremlin console, NodeSync, and Spark.
A list of the available commands for DSE operations.
Stress tools
Tools for stress testing DataStax Enterprise.
SSTable utilities
Tools for using, upgrading, and changing DataStax Enterprise SSTables.
Preflight check tool
The preflight check tool is a collection of tests that detects and optionally fixes configuration settings on DataStax Enterprise nodes.
cluster_check and yaml_diff tools
Using the cluster_check and yaml_diff tools to check the differences between cassandra.yaml or dse.yaml files.
DataStax Enterprise operation topics, such as node and datacenter operations, changing replication strategies, configuring compaction and compression, caching, and tuning Bloom filters.
Starting and stopping DSE
You can start and stop DataStax Enterprise as a service or stand-alone process.
Adding or removing nodes, datacenters, or clusters
Information on adding or removing nodes, datacenters, or clusters.
Backing up and restoring data
DataStax Enterprise backs up data by taking a snapshot of all on-disk data files (SSTable files) stored in the data directory.
Repairing nodes
Repairing nodes makes sure data in every replica is consistent with other replicas.
Monitoring a DSE cluster
Information about performance characteristics, thread pool, read/write latency, table statistics, compaction metrics, and endpoint metrics.
Tuning the database
Tuning Java resources, Bloom filters, and configuring memtable thresholds to improve write performance.
Data caching
Configuring caches for optimal performance.
Compacting and compressing
Information on configuring and testing compaction and compression in DataStax Enterprise.
Migrating data to DSE
Methods to migrate data to DataStax Enterprise solutions.
Collecting node health and indexing scores
Steps to configure node health options, and commands to retrieve health and indexing scores.
Clearing data from DSE
Remove all data from any type of installation.
Hardware selection, estimating disk capacity, anti-patterns, cluster testing and more.