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Information about using DataStax Enterprise for Administrators.
Release notes for DataStax Enterprise.
DataStax Enterprise 6.0 can be installed in a number of ways, depending on the purpose of the installation, the type of operating system, and the available permissions.
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 DataStax Enterprise (DSE) cluster includes configuring, and choosing how the data is divided across the nodes in the cluster.
DataStax Enterprise 6.0 Security Guide.
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 include dse commands, dsetool, fs-stress tool, pre-flight check, and yaml_diff tools, and the sstableloader.
DSE Metrics Collector aggregates DSE metrics and integrates with centralized monitoring solutions to facilitate problem resolution and remediation.
A list of the available commands for managing a cluster.
The dse commands for starting the database and connecting an external client to a DataStax Enterprise node and performing common utility tasks.
The dse commands provide controls for starting and using DataStax Enterprise (DSE).
dse command options to authenticate connections to the database and to JMX.
For DSE Multi-Instance, this command simplifies adding and configuring a node on a host machine.
Commands and options for configuring and using DSE Advanced Replication.
A list of commands for DSE Advanced Replication
Starts the Beeline shell.
Starts the database in transactional mode. Command options start the database in other modes and enable advanced features on a node.
Stops the DataStax Enterprise process.
Sets the environment variables required to run third-party tools that integrate with Spark.
Starts the DSE File System (DSEFS).
Open the gremlin console with a connection to the DataStax Enterprise server.
Invokes DSEFS operations using the HDFS interface to DSEFS.
Lists the nodes that are configured for the DSE Multi-Instance host machine.
Starts the Spark Python shell.
Removes a node that is configured for the DSE Multi-Instance host machine.
Starts the Spark shell.
Launches Spark application contained within a class on a cluster.
Starts and stops the Spark Jobserver
Starts and stops the Spark history server.
Starts the Spark SQL shell in DSE to interactively perform Spark SQL queries.
Starts and stops the Spark SQL Thriftserver.
Launches applications on a cluster to enable use of Spark cluster managers through a uniform interface.
Starts the R shell configured with DSE Spark.
Sends the DataStax Enterprise version number to standard output. Does not require authentication.
Connects an external client to a DataStax Enterprise node and performs common utility tasks.
Modifies CQL nodesync property on one or more tables, enables tracing and monitoring.
nodesync
The DSEFS functionality supports operations including uploading, downloading, moving, and deleting files, creating directories, and verifying the DSEFS status.
A list of the available commands for DSE operations.
Tools for stress testing DataStax Enterprise.
Diagnostic tools for analyzing, using, upgrading, and changing DataStax Enterprise SSTables.
Tools that are installed separately and used across products.
The preflight check tool is a collection of tests that detects and optionally fixes configuration settings on DataStax Enterprise nodes.
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.
Hardware selection, estimating disk capacity, anti-patterns, cluster testing and more.