DataStax Enterprise 6.7 will no longer be supported beginning December 2022. This document is no longer updated.
For more, see the Upgrade Guide and our Supported Software.

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DSE 6.7 Administrator Guide

Getting started
Information about using DataStax Enterprise for Administrators.
Release notes
Release notes for DataStax Enterprise.
Installing
DataStax Enterprise 6.7 can be installed in a number of ways, depending on the purpose of the installation, the type of operating system, and the available permissions.
Configuration
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.
Initializing a cluster
Initializing a DataStax Enterprise (DSE) cluster includes configuring, and choosing how the data is divided across the nodes in the cluster.
Security
DataStax Enterprise 6.7 Security Guide.
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.
Tools
Tools include nodetool, dse, and dsefs shell commands, dsetool, fs-stress tool, pre-flight check, and yaml_diff tools, and the sstableloader.
Operations
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.
  - Configuring compaction
    Steps for configuring compaction in DataStax Enterprise. The compaction process merges keys, combines columns, evicts tombstones, consolidates SSTables, and creates a new index in the merged SSTable.
  - Compression
    Compression maximizes the storage capacity of DataStax Enterprise nodes by reducing the volume of data on disk and disk I/O, particularly for read-dominated workloads.
  - Testing compaction and compression
    Enabling write survey mode.
- 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.
Planning
Hardware selection, estimating disk capacity, anti-patterns, cluster testing and more.

Compacting and compressing

Information on configuring and testing compaction and compression in DataStax Enterprise.

Configuring compaction
Steps for configuring compaction in DataStax Enterprise. The compaction process merges keys, combines columns, evicts tombstones, consolidates SSTables, and creates a new index in the merged SSTable.
Compression
Compression maximizes the storage capacity of DataStax Enterprise nodes by reducing the volume of data on disk and disk I/O, particularly for read-dominated workloads.
Testing compaction and compression
Enabling write survey mode.

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