Install Elasticsearch with RPM

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The RPM for Elasticsearch can be downloaded from our website or from our RPM repository. It can be used to install Elasticsearch on any RPM-based system such as OpenSuSE, SLES, Centos, Red Hat, and Oracle Enterprise.

RPM install is not supported on distributions with old versions of RPM, such as SLES 11 and CentOS 5. Please see Install Elasticsearch with .zip or .tar.gz instead.

The latest stable version of Elasticsearch can be found on the Download Elasticsearch page. Other versions can be found on the Past Releases page.

Elasticsearch requires Java 8 or later. Use the official Oracle distribution or an open-source distribution such as OpenJDK.

Import the Elasticsearch PGP Key

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We sign all of our packages with the Elasticsearch Signing Key (PGP key D88E42B4, available from https://pgp.mit.edu) with fingerprint:

4609 5ACC 8548 582C 1A26 99A9 D27D 666C D88E 42B4

Download and install the public signing key:

rpm --import https://artifacts.elastic.co/GPG-KEY-elasticsearch

Installing from the RPM repository

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Create a file called elasticsearch.repo in the /etc/yum.repos.d/ directory for RedHat based distributions, or in the /etc/zypp/repos.d/ directory for OpenSuSE based distributions, containing:

[elasticsearch-5.x]
name=Elasticsearch repository for 5.x packages
baseurl=https://artifacts.elastic.co/packages/5.x/yum
gpgcheck=1
gpgkey=https://artifacts.elastic.co/GPG-KEY-elasticsearch
enabled=1
autorefresh=1
type=rpm-md

And your repository is ready for use. You can now install Elasticsearch with one of the following commands:

sudo yum install elasticsearch 
sudo dnf install elasticsearch 
sudo zypper install elasticsearch 

Use yum on CentOS and older Red Hat based distributions.

Use dnf on Fedora and other newer Red Hat distributions.

Use zypper on OpenSUSE based distributions

Download and install the RPM manually

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The RPM for Elastisearch v5.3.3 can be downloaded from the website and installed as follows:

wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-5.3.3.rpm
sha1sum elasticsearch-5.3.3.rpm 
sudo rpm --install elasticsearch-5.3.3.rpm

Compare the SHA produced by sha1sum or shasum with the published SHA.

On systemd-based distributions, the installation scripts will attempt to set kernel parameters (e.g., vm.max_map_count); you can skip this by setting the environment variable ES_SKIP_SET_KERNEL_PARAMETERS to true.

SysV init vs systemd

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Elasticsearch is not started automatically after installation. How to start and stop Elasticsearch depends on whether your system uses SysV init or systemd (used by newer distributions). You can tell which is being used by running this command:

ps -p 1

Running Elasticsearch with SysV init

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Use the chkconfig command to configure Elasticsearch to start automatically when the system boots up:

sudo chkconfig --add elasticsearch

Elasticsearch can be started and stopped using the service command:

sudo -i service elasticsearch start
sudo -i service elasticsearch stop

If Elasticsearch fails to start for any reason, it will print the reason for failure to STDOUT. Log files can be found in /var/log/elasticsearch/.

Running Elasticsearch with systemd

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To configure Elasticsearch to start automatically when the system boots up, run the following commands:

sudo /bin/systemctl daemon-reload
sudo /bin/systemctl enable elasticsearch.service

Elasticsearch can be started and stopped as follows:

sudo systemctl start elasticsearch.service
sudo systemctl stop elasticsearch.service

These commands provide no feedback as to whether Elasticsearch was started successfully or not. Instead, this information will be written in the log files located in /var/log/elasticsearch/.

By default the Elasticsearch service doesn’t log information in the systemd journal. To enable journalctl logging, the --quiet option must be removed from the ExecStart command line in the elasticsearch.service file.

When systemd logging is enabled, the logging information are available using the journalctl commands:

To tail the journal:

sudo journalctl -f

To list journal entries for the elasticsearch service:

sudo journalctl --unit elasticsearch

To list journal entries for the elasticsearch service starting from a given time:

sudo journalctl --unit elasticsearch --since  "2016-10-30 18:17:16"

Check man journalctl or https://www.freedesktop.org/software/systemd/man/journalctl.html for more command line options.

Checking that Elasticsearch is running

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You can test that your Elasticsearch node is running by sending an HTTP request to port 9200 on localhost:

GET /

which should give you a response something like this:

{
  "name" : "Cp8oag6",
  "cluster_name" : "elasticsearch",
  "cluster_uuid" : "AT69_T_DTp-1qgIJlatQqA",
  "version" : {
    "number" : "5.3.3",
    "build_hash" : "f27399d",
    "build_date" : "2016-03-30T09:51:41.449Z",
    "build_snapshot" : false,
    "lucene_version" : "6.4.2"
  },
  "tagline" : "You Know, for Search"
}

Configuring Elasticsearch

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Elasticsearch loads its configuration from the /etc/elasticsearch/elasticsearch.yml file by default. The format of this config file is explained in Configuring Elasticsearch.

The RPM also has a system configuration file (/etc/sysconfig/elasticsearch), which allows you to set the following parameters:

ES_USER

The user to run as, defaults to elasticsearch.

ES_GROUP

The group to run as, defaults to elasticsearch.

JAVA_HOME

Set a custom Java path to be used.

MAX_OPEN_FILES

Maximum number of open files, defaults to 65536.

MAX_LOCKED_MEMORY

Maximum locked memory size. Set to unlimited if you use the bootstrap.memory_lock option in elasticsearch.yml.

MAX_MAP_COUNT

Maximum number of memory map areas a process may have. If you use mmapfs as index store type, make sure this is set to a high value. For more information, check the linux kernel documentation about max_map_count. This is set via sysctl before starting elasticsearch. Defaults to 262144.

LOG_DIR

Log directory, defaults to /var/log/elasticsearch.

DATA_DIR

Data directory, defaults to /var/lib/elasticsearch.

CONF_DIR

Configuration file directory (which needs to include elasticsearch.yml and log4j2.properties files), defaults to /etc/elasticsearch.

ES_JAVA_OPTS

Any additional JVM system properties you may want to apply.

RESTART_ON_UPGRADE

Configure restart on package upgrade, defaults to false. This means you will have to restart your elasticsearch instance after installing a package manually. The reason for this is to ensure, that upgrades in a cluster do not result in a continuous shard reallocation resulting in high network traffic and reducing the response times of your cluster.

Distributions that use systemd require that system resource limits be configured via systemd rather than via the /etc/sysconfig/elasticsearch file. See Systemd configuration for more information.

Directory layout of RPM

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The RPM places config files, logs, and the data directory in the appropriate locations for an RPM-based system:

Type Description Default Location Setting

home

Elasticsearch home directory or $ES_HOME

/usr/share/elasticsearch

bin

Binary scripts including elasticsearch to start a node and elasticsearch-plugin to install plugins

/usr/share/elasticsearch/bin

conf

Configuration files including elasticsearch.yml

/etc/elasticsearch

path.conf

conf

Environment variables including heap size, file descriptors.

/etc/sysconfig/elasticsearch

data

The location of the data files of each index / shard allocated on the node. Can hold multiple locations.

/var/lib/elasticsearch

path.data

logs

Log files location.

/var/log/elasticsearch

path.logs

plugins

Plugin files location. Each plugin will be contained in a subdirectory.

/usr/share/elasticsearch/plugins

repo

Shared file system repository locations. Can hold multiple locations. A file system repository can be placed in to any subdirectory of any directory specified here.

Not configured

path.repo

script

Location of script files.

/etc/elasticsearch/scripts

path.scripts

Next steps

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You now have a test Elasticsearch environment set up. Before you start serious development or go into production with Elasticsearch, you will need to do some additional setup: