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Getting started with DSE 5.1
Release notes
Installing DSE
Configuration
Initializing a cluster
Security
DSE advanced functionality
Tools
Operations
Planning

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DSE 5.1 Administrator Guide Earlier DSE version Latest 5.1 patch: 5.1.22

Getting started with DSE 5.1
Information about using DataStax Enterprise for Administrators.
Release notes
DataStax Enterprise release notes cover cluster requirements, upgrade guidance, components, security updates, changes and enhancements, issues, and resolved issues for DataStax Enterprise 5.1.
Installing DSE
DataStax Enterprise 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 cluster includes configuring, and choosing how the data is divided across the nodes in the cluster.
Security
DataStax Enterprise 5.1 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.
- DSE Analytics
  DataStax Enterprise 5.1 Analytics includes integration with Apache Spark.
- DSE Search
  DSE Search is part of DataStax Enterprise (DSE). DSE Search allows you to find data and create features like product catalogs, document repositories, and ad-hoc reports. See DSE Search architecture.
- 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 Performance Service
    The DSE Performance Service automatically collects and organizes performance diagnostic information into a set of data dictionary tables that can be queried with CQL.
    - Performance Service
      The DSE Performance Service automatically collects and organizes performance diagnostic information into a set of data dictionary tables that can be queried with CQL.
    - Configuring Performance Service replication strategy
      Steps to configure the Performance Service replication strategy.
    - Collecting data
      Tasks to enable and configure collection of data using the Performance Service.
    - Collecting search data
      Edit dse.yaml to enable and configure collection of search data.
      - Collecting slow search queries
        Steps to help you identify slow search queries using the DataStax Enterprise Performance Service.
      - Collecting indexing errors
        Steps to enable logging of object records errors that occur during document indexing.
      - Collecting Apache Solr™ performance statistics
        Enable the solr_latency_snapshot_options parameter in dse.yaml and set the other options as required.
      - Collecting cache statistics
        Enable the solr_cache_stats_options parameter in dse.yaml and set the other options as required.
      - Collecting index statistics
        Steps to enable collecting index statistics.
      - Collecting handler statistics
        Enable the solr_update_handler_metrics_options parameter in dse.yaml and set the other options as required.
      - Collecting request handler metrics
        How to enable the solr_request_handler_metrics_options parameter in dse.yaml and set options.
    - Monitoring Spark with Spark Performance Objects
      Performance data is stored in a table to allow you to monitor and tune Spark analytics jobs.
    - Diagnostic table reference
      A complete listing and brief description of DSE Performance Service diagnostic tables.
    - Solr diagnostic table reference
      FAQs about using, and log information, snapshot, statistics in the DSE Search Performance Service diagnostic tables.
  - Best Practice Service
    This OpsCenter service scans DataStax Enterprise clusters and automatically detects issues that threaten the cluster’s security, availability or performance.
  - Capacity Service
    This OpsCenter service accumulates cluster health and resource utilization metrics to perform historical trend analysis. This process helps you understand cluster performance over time, and includes powerful forecasting capabilities to predict future usage and growth.
  - Repair Service
    This OpsCenter service performs repair operations in the background across a DataStax Enterprise cluster with minimal impact. This process alleviates the potential performance impact of having to periodically run repair on entire nodes.
- 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
Tools include nodetool, dse commands, dsetool, cfs-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.
Planning
Hardware selection, estimating disk capacity, anti-patterns, cluster testing and more.

Collection of search data

Edit dse.yaml to enable and configure collection of search data.

Collecting slow search queries
Steps to help you identify slow search queries using the DataStax Enterprise Performance Service.
Collecting indexing errors
Steps to enable logging of object records errors that occur during document indexing.
Collecting Apache Solr performance statistics
Enable the solr_latency_snapshot_options parameter in dse.yaml and set the other options as required.
Collecting cache statistics
Enable the solr_cache_stats_options parameter in dse.yaml and set the other options as required.
Collecting index statistics
Steps to enable collecting index statistics.
Collecting handler statistics
Enable the solr_update_handler_metrics_options parameter in dse.yaml and set the other options as required.
Collecting request handler metrics
How to enable the solr_request_handler_metrics_options parameter in dse.yaml and set options.

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Build time: 2021-04-19 10:12:50.405

DataStax, Titan, and TitanDB are registered trademarks of DataStax, Inc. and its subsidiaries in the United States and/or other countries.

Apache, Apache Cassandra, Cassandra, Apache Tomcat, Tomcat, Apache Lucene, Apache Solr, Apache Hadoop, Hadoop, Apache Spark, Spark, Apache TinkerPop, TinkerPop, Apache Kafka and Kafka are either registered trademarks or trademarks of the Apache Software Foundation or its subsidiaries in Canada, the United States and/or other countries.

Kubernetes is the registered trademark of the Linux Foundation.

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