338 lines
11 KiB
YAML
338 lines
11 KiB
YAML
##################### ElasticSearch Configuration Example #####################
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# This file contains an overview of various configuration settings,
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# targeted at operations staff. Application developers should
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# consult the guide at <http://elasticsearch.org/guide>.
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#
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# The installation procedure is covered at
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# <http://elasticsearch.org/guide/reference/setup/installation.html>.
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#
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# ElasticSearch comes with reasonable defaults for most settings,
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# so you can try it out without bothering with configuration.
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#
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# Most of the time, these defaults are just fine for running a production
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# cluster. If you're fine-tuning your cluster, or wondering about the
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# effect of certain configuration option, please _do ask_ on the
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# mailing list or IRC channel [http://elasticsearch.org/community].
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# Any element in the configuration can be replaced with environment variables
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# by placing them in ${...} notation. For example:
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#
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# node.rack: ${RACK_ENV_VAR}
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# See <http://elasticsearch.org/guide/reference/setup/configuration.html>
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# for information on supported formats and syntax for the configuration file.
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################################### Cluster ###################################
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# Cluster name identifies your cluster for auto-discovery. If you're running
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# multiple clusters on the same network, make sure you're using unique names.
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#
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# cluster.name: elasticsearch
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#################################### Node #####################################
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# Node names are generated dynamically on startup, so you're relieved
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# from configuring them manually. You can tie this node to a specific name:
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#
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# node.name: "Franz Kafka"
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# Every node can be configured to allow or deny being eligible as the master,
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# and to allow or deny to store the data.
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#
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# Allow this node to be eligible as a master node (enabled by default):
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#
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# node.master: true
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#
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# Allow this node to store data (enabled by default):
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#
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# node.data: true
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# You can exploit these settings to design advanced cluster topologies.
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#
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# 1. You want this node to never become a master node, only to hold data.
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# This will be the "workhorse" of your cluster.
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#
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# node.master: false
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# node.data: true
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#
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# 2. You want this node to only serve as a master: to not store any data and
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# to have free resources. This will be the "coordinator" of your cluster.
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#
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# node.master: true
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# node.data: false
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#
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# 3. You want this node to be neither master nor data node, but
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# to act as a "search load balancer" (fetching data from nodes,
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# aggregating results, etc.)
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#
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# node.master: false
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# node.data: false
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# Use the Cluster Health API [http://localhost:9200/_cluster/health], the
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# Node Info API [http://localhost:9200/_cluster/nodes] or GUI tools
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# such as <http://github.com/lukas-vlcek/bigdesk> and
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# <http://mobz.github.com/elasticsearch-head> to inspect the cluster state.
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# A node can have generic attributes associated with it, which can later be used
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# for customized shard allocation filtering, or allocation awareness. An attribute
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# is a simple key value pair, similar to node.key: value, here is an example:
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#
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# node.rack: rack314
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#################################### Index ####################################
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# You can set a number of options (such as shard/replica options, mapping
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# or analyzer definitions, translog settings, ...) for indices globally,
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# in this file.
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#
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# Note, that it makes more sense to configure index settings specifically for
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# a certain index, either when creating it or by using the index templates API.
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#
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# See <http://elasticsearch.org/guide/reference/index-modules/> and
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# <http://elasticsearch.org/guide/reference/api/admin-indices-create-index.html>
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# for more information.
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# Set the number of shards (splits) of an index (5 by default):
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#
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# index.number_of_shards: 5
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# Set the number of replicas (additional copies) of an index (1 by default):
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#
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# index.number_of_replicas: 1
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# Note, that for development on a local machine, with small indices, it usually
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# makes sense to "disable" the distributed features:
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#
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# index.number_of_shards: 1
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# index.number_of_replicas: 0
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# These settings directly affect the performance of index and search operations
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# in your cluster. Assuming you have enough machines to hold shards and
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# replicas, the rule of thumb is:
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#
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# 1. Having more *shards* enhances the _indexing_ performance and allows to
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# _distribute_ a big index across machines.
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# 2. Having more *replicas* enhances the _search_ performance and improves the
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# cluster _availability_.
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#
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# The "number_of_shards" is a one-time setting for an index.
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#
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# The "number_of_replicas" can be increased or decreased anytime,
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# by using the Index Update Settings API.
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#
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# ElasticSearch takes care about load balancing, relocating, gathering the
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# results from nodes, etc. Experiment with different settings to fine-tune
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# your setup.
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# Use the Index Status API (<http://localhost:9200/A/_status>) to inspect
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# the index status.
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#################################### Paths ####################################
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# Path to directory containing configuration (this file and logging.yml):
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#
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# path.conf: /path/to/conf
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# Path to directory where to store index data allocated for this node.
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#
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# path.data: /path/to/data
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#
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# Can optionally include more than one location, causing data to be striped across
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# the locations (à la RAID 0) on a file level, favouring locations with most free
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# space on creation. For example:
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#
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# path.data: /path/to/data1,/path/to/data2
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# Path to temporary files:
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#
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# path.work: /path/to/work
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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 to where plugins are installed:
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#
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# path.plugins: /path/to/plugins
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################################### Memory ####################################
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# ElasticSearch performs poorly when JVM starts swapping: you should ensure that
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# it _never_ swaps.
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#
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# Set this property to true to lock the memory:
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#
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# bootstrap.mlockall: true
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# Make sure that the ES_MIN_MEM and ES_MAX_MEM environment variables are set
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# to the same value, and that the machine has enough memory to allocate
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# for ElasticSearch, leaving enough memory for the operating system itself.
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#
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# You should also make sure that the ElasticSearch process is allowed to lock
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# the memory, eg. by using `ulimit -l unlimited`.
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############################## Network And HTTP ###############################
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# ElasticSearch, by default, binds itself to the 0.0.0.0 address, and listens
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# on port [9200-9300] for HTTP traffic and on port [9300-9400] for node-to-node
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# communication. (the range means that if the port is busy, it will automatically
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# try the next port).
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# Set the bind address specifically (IPv4 or IPv6):
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#
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# network.bind_host: 192.168.0.1
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# Set the address other nodes will use to communicate with this node. If not
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# set, it is automatically derived. It must point to an actual IP address.
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#
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# network.publish_host: 192.168.0.1
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# Set both 'bind_host' and 'publish_host':
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#
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# network.host: 192.168.0.1
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# Set a custom port for the node to node communication (9300 by default):
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#
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# transport.tcp.port: 9300
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# Enable compression for all communication between nodes (disabled by default):
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#
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# transport.tcp.compress: true
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# Set a custom port to listen for HTTP traffic:
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#
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# http.port: 9200
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# Set a custom allowed content length:
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#
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# http.max_content_length: 100mb
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# Disable HTTP completely:
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#
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# http.enabled: false
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################################### Gateway ###################################
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# The gateway allows for persisting the cluster state between full cluster
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# restarts. Every change to the state (such as adding an index) will be stored
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# in the gateway, and when the cluster starts up for the first time,
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# it will read its state from the gateway.
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# There are several types of gateway implementations. For more information,
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# see <http://elasticsearch.org/guide/reference/modules/gateway>.
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# The default gateway type is the "local" gateway (recommended):
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#
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# gateway.type: local
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# Settings below control how and when to start the initial recovery process on
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# a full cluster restart (to reuse as much local data as possible).
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# Allow recovery process after N nodes in a cluster are up:
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#
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# gateway.recover_after_nodes: 1
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# Set the timeout to initiate the recovery process, once the N nodes
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# from previous setting are up (accepts time value):
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#
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# gateway.recover_after_time: 5m
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# Set how many nodes are expected in this cluster. Once these N nodes
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# are up, begin recovery process immediately:
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#
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# gateway.expected_nodes: 2
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############################# Recovery Throttling #############################
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# These settings allow to control the process of shards allocation between
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# nodes during initial recovery, replica allocation, rebalancing,
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# or when adding and removing nodes.
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# Set the number of concurrent recoveries happening on a node:
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#
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# 1. During the initial recovery
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#
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# cluster.routing.allocation.node_initial_primaries_recoveries: 4
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#
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# 2. During adding/removing nodes, rebalancing, etc
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#
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# cluster.routing.allocation.node_concurrent_recoveries: 2
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# Set to throttle throughput when recovering (eg. 100mb, by default unlimited):
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#
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# indices.recovery.max_size_per_sec: 0
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# Set to limit the number of open concurrent streams when
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# recovering a shard from a peer:
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#
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# indices.recovery.concurrent_streams: 5
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################################## Discovery ##################################
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# Discovery infrastructure ensures nodes can be found within a cluster
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# and master node is elected. Multicast discovery is the default.
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# Set to ensure a node sees N other master eligible nodes to be considered
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# operational within the cluster. Set this option to a higher value (2-4)
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# for large clusters:
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#
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# discovery.zen.minimum_master_nodes: 1
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# Set the time to wait for ping responses from other nodes when discovering.
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# Set this option to a higher value on a slow or congested network
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# to minimize discovery failures:
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#
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# discovery.zen.ping.timeout: 3s
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# See <http://elasticsearch.org/guide/reference/modules/discovery/zen.html>
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# for more information.
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# Unicast discovery allows to explicitly control which nodes will be used
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# to discover the cluster. It can be used when multicast is not present,
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# or to restrict the cluster communication-wise.
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#
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# 1. Disable multicast discovery (enabled by default):
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#
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# discovery.zen.ping.multicast.enabled: false
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#
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# 2. Configure an initial list of master nodes in the cluster
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# to perform discovery when new nodes (master or data) are started:
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#
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# discovery.zen.ping.unicast.hosts: ["host1", "host2:port", "host3[portX-portY]"]
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# EC2 discovery allows to use AWS EC2 API in order to perform discovery.
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#
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# You have to install the cloud-aws plugin for enabling the EC2 discovery.
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#
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# See <http://elasticsearch.org/guide/reference/modules/discovery/ec2.html>
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# for more information.
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#
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# See <http://elasticsearch.org/tutorials/2011/08/22/elasticsearch-on-ec2.html>
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# for a step-by-step tutorial.
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################################## Slow Log ##################################
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# Shard level query and fetch threshold logging.
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#index.search.slowlog.level: TRACE
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#index.search.slowlog.threshold.query.warn: 10s
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#index.search.slowlog.threshold.query.info: 5s
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#index.search.slowlog.threshold.query.debug: 2s
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#index.search.slowlog.threshold.query.trace: 500ms
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#index.search.slowlog.threshold.fetch.warn: 1s
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#index.search.slowlog.threshold.fetch.info: 800ms
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#index.search.slowlog.threshold.fetch.debug: 500ms
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#index.search.slowlog.threshold.fetch.trace: 200ms
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