Installing DataStax Enterprise using Yum repositories
Install DataStax Enterprise and OpsCenter using Yum repositories on RHEL-based systems.
For a complete list of supported platforms, see DataStax Enterprise Supported Platforms.
Prerequisites
- DataStax Academy registration email address and password.
- Yum Package Management application installed.
- Root or sudo access to the install machine.
- Latest version of Oracle Java SE Runtime Environment 7. See Installing Oracle JDK.
- Python 2.6+ (needed if installing OpsCenter).
- Java Native Access (JNA) is required for production installations. See Installing the JNA.
- If installing on a 64-bit Oracle Linux distribution, first install the 32-bit versions of glibc libraries.
- If installing OpsCenter on a RHEL 5.x/CentOS 5.x machine, make sure that the EPEL (Extra Packages for Enterprise Linux) are installed. See Installing EPEL on CentOS 5.x or RHEL 5.x.
- Some RedHat-compatible distributions do not contain the Linux Standard Base Core module (redhat-lsb-core) by default. If your distribution does not have this package, you must install it.
Also see Recommended production settings and the DataStax Enterprise Reference Architecture white paper.
The packaged releases create a cassandra user. When starting DataStax Enterprise as a service, the Cassandra and Hadoop tracker services run as this user. The service initialization script is located in /etc/init.d/dse. Run levels are not set by the package.
Procedure
These steps install DataStax Enterprise. After installing, you must configure and start DataStax Enterprise.
In a terminal window:
Results
DataStax Enterprise is ready for configuration.
What's next
- Set the configuration properties on each node in the cluster for single or multiple data center deployment.
- Configure the heap dump directory to avoid server crashes.
- Start DataStax Enterprise.
- Configuration file locations.
- During normal use, Yum creates a cache of metadata and packages. To clean all
cached files from any enabled repository run:
$ yum clean all