Installing and Configuring Elasticsearch

Installing and Configuring Elasticsearch

The Searchlight indexing service is responsible for indexing data in Elasticsearch 1; Elasticsearch has very good documentation on installation but some pointers are provided here.

Important

We strongly recommend using ElasticSearch 5.x and the accompanying python client version 2. ElasticSearch 2.x is still supported and will be removed after Stein cycle.

Installation

Elasticsearch requires a Java Runtime Environment (or Java Development Kit). OpenJDK and Oracle’s Java are supported. Information on the current recommended version can be found in the installation instructions 3.

Installing from a download package

Links to various formats and also older versions of Elasticsearch can be found on the download page 4. Once downloaded and extracted, you can start Elasticsearch with:

bin/elasticsearch

For more details see the installation instructions 5

Quick command line example with 5.6.11:

Note

Do the following commands as “root” or via sudo <command>

Download the ES package:

cd ~
wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-5.6.11.deb
sudo dpkg -i elasticsearch-5.6.11.deb
sudo update-rc.d elasticsearch defaults 95 10
sudo /etc/init.d/elasticsearch start

Note

If you install ElasticSearch 5.x, You should install python-elasticsearch>=5.0.0. global-requirements currently constrains it to v2.x

Configuration

Elasticsearch comes with very a very sensible default configuration that allows for clustering and high performance out of the box. There are some settings, both general and specific to Searchlight’s indexing service, that might be of interest depending on your scenario.

Elasticsearch’s configuration is in $ES_HOME/config/elasticsearch.yaml, where ES_HOME is the directory in which Elasticsearch is installed. It uses YAML, a superset of JSON.

Indices

Elasticsearch (and Lucene) store information in indices. Within an index can be one or more document types. Searchlight’s indexing service uses an index per service that has a plugin available, and each plugin generally will have its own document type. For instance, the glance plugin has glance.image and glance.metadef. Since the volume of data is lower than a typical use case for Elasticsearch it may make sense to change the default sharing and replication mechanism. We also recommend disabling implicit index creation, though if you are sharing an Elasticsearch installation this may be inadvisable. The following options control indexing behavior:

# Number of shards for each index (performance)
index.number_of_shards: 5
# Number of replicas per shard (redundancy and recovering)
index.number_of_replicas: 1

# Disable automatic index creation so that index creation
# is an explicit action
action.auto_create_index: false

Index settings

In addition to server-wide index settings it’s possible to configure Searchlight to apply settings to indices it creates with searchlight-manage. Index settings can be specified as follows in searchlight.conf:

[elasticsearch]
index_settings = refresh_interval:2s,number_of_replicas:1

The index. prefix for settings is optional; Searchlight will prepend it if it’s not given (e.g. index.refresh_interval is also acceptable).

Index settings are applied at creation time and so are not limited to the ‘dynamic’ index settings. They are applied to all indices at the time they are created. If you wish to update settings for an existing index, you should use the Elasticsearch API to do so or reindex.

See also 9, 10.

Scripts

The scripting module allows to use scripts in order to evaluate custom expressions. Scripting is turned off by default in elasticsearch latest versions. Searchlight doesn’t allow scripts in the search api but requires scripts to sync Index updates from notifications. For security purpose index updates are allowed only for admin role.

script.engine.groovy.inline.update: on

See also 8.

Development

For development, Elasticsearch’s default configuration is overkill. It’s possible to run Elasticsearch with a much lower memory footprint than by default, and you may wish to disable clustering behavior.

# Configures elasticsearch as a single node (no discovery)
node.local: true

# Disable sharding and replication
index.number_of_shards: 1
index.number_of_replicas: 0

JVM settings

Setting the ES_HEAP_SIZE environment variable will restrict how much memory Elasticsearch uses, equivalent to setting -Xmx and -Xms to the same value for the Java runtime. For development you can set it as low as a few tens of MB:

export ES_HEAP_SIZE=40m

Memory usage will be somewhat higher than that figure, because Java itself requires memory on top of that.

Production

Some settings you may wish to change for production:

# Cluster name is used by cluster discovery; it's important to ensure
# this is set across all nodes you wish to be in the cluster
cluster.name: searchlight

# By default elasticsearch picks a random name from a list of Marvel
# comic characters. If you specify this, make sure it's different on
# each node in the cluster
node.name: This Node Name

# Bind to a non-standard address
network.host: 0.0.0.0

# Bind to a non-standard port
http.port: 9200

# Configure the default data and log directories. By default, these
# directories will be created in $ES_HOME.
path:
  logs: /var/log/elasticsearch
  data: /var/data/elasticsearch

# This setting locks the Elasticsearch process address space into RAM
# (preventing locking). If you set this, ensure that you've configured
# ES_HEAP_SIZE appropriately (see below). Linux only.
bootstrap.mlockall: true

For more details see Elasticsearch’s configuration information 6.

Specifying nodes in a cluster

Elasticsearch’s default discovery relies on multicast requests. If this isn’t a good fit, you can use unicast discovery:

discovery.zen.ping.multicast.enabled: false
discovery.zen.ping.unicast.hosts: ['w.x.y.z', 'w.x.y.z']

See 7 for more details.

JVM settings

For production, Elasticsearch recommends setting the ES_HEAP_SIZE environment variable to a value around 60% of a dedicated machine’s memory:

export ES_HEAP_SIZE=2g
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