140 lines
5.6 KiB
Django/Jinja
140 lines
5.6 KiB
Django/Jinja
# ---------------------------------- Cluster -----------------------------------
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cluster.name: {{ cluster_name }}
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# ------------------------------------ Node ------------------------------------
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node.name: {{ ansible_nodename }}
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# node.rack: r1
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# ----------------------------------- Paths ------------------------------------
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# Path to directory where to store the data (separate multiple locations by comma):
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#
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# path.data: /path/to/data
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path.data: /var/lib/elasticsearch
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#
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# Path to log files:
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#
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#
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# Path to log files:
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#
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# path.logs: /path/to/logs
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#path.logs: /var/lib/elasticsearch/logs/
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path.logs: /var/log/elasticsearch/
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#
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# Path to shared filesystem repos
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#
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# path.repo: ["/mount/backups", "/mount/longterm_backups"]
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#
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{% if elastic_shared_fs_repos is defined and elastic_shared_fs_repos|length > 0 %}
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path.repo: {{ elastic_shared_fs_repos | json_query("[*].path") | to_json }}
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{% endif %}
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# Set the global default index store. More information on these settings can be
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# found here:
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# <https://www.elastic.co/guide/en/elasticsearch/reference/current/index-modules-store.html>
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index.store.type: niofs
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# ----------------------------------- Memory -----------------------------------
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#
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# Lock the memory on startup:
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#
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bootstrap.memory_lock: false
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#
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# Make sure that the `ES_HEAP_SIZE` environment variable is set to about half the memory
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# available on the system and that the owner of the process is allowed to use this limit.
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#
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# Elasticsearch performs poorly when the system is swapping the memory.
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#
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# ---------------------------------- Network -----------------------------------
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#
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# Set the bind address to a specific IP (IPv4 or IPv6):
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network.host: ["127.0.0.1", "{{ ansible_host }}", "{{ ansible_hostname }}"]
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# Set a custom port for HTTP:
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http.port: {{ elastic_port }}
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# --------------------------------- Discovery ----------------------------------
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#
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# Pass an initial list of hosts to perform discovery when new node is started:
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# The default list of hosts is ["127.0.0.1", "[::1]"]
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#
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# Node definitions can be seen here:
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#<https://www.elastic.co/guide/en/elasticsearch/reference/6.2/modules-node.html>
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discovery.zen.ping.unicast.hosts: {{ zen_nodes | shuffle(seed=inventory_hostname) | to_json }}
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# Prevent the "split brain" by configuring the majority of nodes (total number of nodes / 2 + 1):
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discovery.zen.minimum_master_nodes: {{ ((master_node_count | int) // 2) + 1 }}
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# The first set of nodes in the master_node_count are marked as such
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node.master: {{ elasticsearch_node_master | default(master_node) }}
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# Every node in the master list and every other node after will be a data node
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node.data: {{ elasticsearch_node_data | default(data_node) }}
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# Ingest nodes can execute pre-processing pipelines. To override automatic
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# determination, the option `elasticsearch_node_ingest` can be defined as a
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# Boolean which will enable or disable ingest nodes. When using automatic
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# determination, ingest nodes will follow data nodes.
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#
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# NOTE(cloudnull): The use of "search remote connect" will follow the enablement
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# of an ingest nodes.
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{% if elasticsearch_node_ingest is defined %}
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node.ingest: {{ elasticsearch_node_ingest }}
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search.remote.connect: {{ elasticsearch_node_ingest }}
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{% else %}
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node.ingest: {{ data_node }}
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search.remote.connect: {{ data_node }}
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{% endif %}
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# For more information, see the documentation at:
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# <http://www.elastic.co/guide/en/elasticsearch/reference/current/modules-discovery.html>
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#
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# ---------------------------------- Gateway -----------------------------------
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#
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# Block initial recovery after a full cluster restart until N nodes are started:
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#
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gateway.recover_after_nodes: {{ ((master_node_count | int) // 2) + 1 }}
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#
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# For more information, see the documentation at:
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# <http://www.elastic.co/guide/en/elasticsearch/reference/current/modules-gateway.html>
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#
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# ---------------------------------- Various -----------------------------------
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#
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# Disable starting multiple nodes on a single system:
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#
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# node.max_local_storage_nodes: 1
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#
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# Require explicit names when deleting indices:
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#
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# action.destructive_requires_name: true
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{% set processors = ((elastic_thread_pool_size | int) > 0) | ternary(elastic_thread_pool_size, 1) %}
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{% if not (elastic_coordination_node | default(false)) | bool %}
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# Thread pool settings. For more on this see the documentation at:
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# <https://www.elastic.co/guide/en/elasticsearch/reference/current/modules-threadpool.html>
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thread_pool:
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index:
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queue_size: {{ (processors | int) * 256 }}
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get:
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queue_size: {{ (processors | int) * 256 }}
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write:
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queue_size: {{ (processors | int) * 512 }}
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{% else %}
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# The number of processors is automatically detected, and the thread pool
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# settings are automatically set based on it. In some cases it can be useful to
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# override the number of detected processors. This can be done by explicitly
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# setting the processors setting. On Kibana hosts where elasticsearch is running
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# as a coordination node, the processor count is limited.
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processors: {{ processors }}
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{% endif %}
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# Accepts either a percentage or a byte size value. Set to 20%, meaning that 20%
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# of the total heap allocated to a node will be used as the indexing buffer size
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# shared across all shards.
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indices.memory.index_buffer_size: 20%
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# Connection throttling on recovery is limited to 20% of the detected interface
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# speed with a cap of 750mb. This will improce search speeds and reduce general
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# cluster pressure.
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indices.recovery.max_bytes_per_sec: {{ elasticserch_interface_speed }}mb
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# ---------------------------------- X-Pack ------------------------------------
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# X-Pack Monitoring
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# https://www.elastic.co/guide/en/elasticsearch/reference/6.3/monitoring-settings.html
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xpack.monitoring.collection.enabled: true
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xpack.monitoring.collection.interval: 30s
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