340 lines
11 KiB
Plaintext
340 lines
11 KiB
Plaintext
[[setup-configuration]]
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== Configuration
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[float]
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=== Environment Variables
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Within the scripts, Elasticsearch comes with built in `JAVA_OPTS` passed
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to the JVM started. The most important setting for that is the `-Xmx` to
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control the maximum allowed memory for the process, and `-Xms` to
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control the minimum allocated memory for the process (_in general, the
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more memory allocated to the process, the better_).
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Most times it is better to leave the default `JAVA_OPTS` as they are,
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and use the `ES_JAVA_OPTS` environment variable in order to set / change
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JVM settings or arguments.
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The `ES_HEAP_SIZE` environment variable allows to set the heap memory
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that will be allocated to elasticsearch java process. It will allocate
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the same value to both min and max values, though those can be set
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explicitly (not recommended) by setting `ES_MIN_MEM` (defaults to
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`256m`), and `ES_MAX_MEM` (defaults to `1g`).
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It is recommended to set the min and max memory to the same value, and
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enable <<setup-configuration-memory,`mlockall`>>.
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[float]
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[[system]]
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=== System Configuration
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[float]
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[[file-descriptors]]
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==== File Descriptors
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Make sure to increase the number of open files descriptors on the
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machine (or for the user running elasticsearch). Setting it to 32k or
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even 64k is recommended.
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In order to test how many open files the process can open, start it with
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`-Des.max-open-files` set to `true`. This will print the number of open
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files the process can open on startup.
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Alternatively, you can retrieve the `max_file_descriptors` for each node
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using the <<cluster-nodes-info>> API, with:
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[source,js]
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--------------------------------------------------
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curl localhost:9200/_nodes/process?pretty
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--------------------------------------------------
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[float]
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[[vm-max-map-count]]
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==== Virtual memory
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Elasticsearch uses a <<default_fs,`hybrid mmapfs / niofs`>> directory by default to store its indices. The default
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operating system limits on mmap counts is likely to be too low, which may
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result in out of memory exceptions. On Linux, you can increase the limits by
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running the following command as `root`:
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[source,bash]
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-------------------------------------
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sysctl -w vm.max_map_count=262144
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-------------------------------------
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To set this value permanently, update the `vm.max_map_count` setting in
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`/etc/sysctl.conf`.
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NOTE: If you installed Elasticsearch using a package (.deb, .rpm) this setting will be changed automatically. To verify, run `sysctl vm.max_map_count`.
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[float]
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[[setup-configuration-memory]]
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==== Memory Settings
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The Linux kernel tries to use as much memory as possible for file system
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caches and eagerly swaps out unused application memory, possibly resulting
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in the elasticsearch process being swapped. Swapping is very bad for
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performance and for node stability, so it should be avoided at all costs.
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There are three options:
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* **Disable swap**
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+
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--
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The simplest option is to completely disable swap. Usually Elasticsearch
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is the only service running on a box, and its memory usage is controlled
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by the `ES_HEAP_SIZE` environment variable. There should be no need
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to have swap enabled. On Linux systems, you can disable swap temporarily
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by running: `sudo swapoff -a`. To disable it permanently, you will need
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to edit the `/etc/fstab` file and comment out any lines that contain the
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word `swap`.
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--
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* **Configure `swappiness`**
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+
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--
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The second option is to ensure that the sysctl value `vm.swappiness` is set
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to `0`. This reduces the kernel's tendency to swap and should not lead to
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swapping under normal circumstances, while still allowing the whole system
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to swap in emergency conditions.
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NOTE: From kernel version 3.5-rc1 and above, a `swappiness` of `0` will
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cause the OOM killer to kill the process instead of allowing swapping.
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You will need to set `swappiness` to `1` to still allow swapping in
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emergencies.
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--
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* **`mlockall`**
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+
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--
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The third option on Linux/Unix systems only, is to use
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http://opengroup.org/onlinepubs/007908799/xsh/mlockall.html[mlockall] to
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try to lock the process address space into RAM, preventing any Elasticsearch
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memory from being swapped out. This can be done, by adding this line
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to the `config/elasticsearch.yml` file:
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[source,yaml]
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--------------
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bootstrap.mlockall: true
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--------------
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After starting Elasticsearch, you can see whether this setting was applied
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successfully by checking the value of `mlockall` in the output from this
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request:
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[source,sh]
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--------------
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curl http://localhost:9200/_nodes/process?pretty
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--------------
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If you see that `mlockall` is `false`, then it means that the the `mlockall`
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request has failed. The most probable reason is that the user running
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Elasticsearch doesn't have permission to lock memory. This can be granted
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by running `ulimit -l unlimited` as `root` before starting Elasticsearch.
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Another possible reason why `mlockall` can fail is that the temporary directory
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(usually `/tmp`) is mounted with the `noexec` option. This can be solved by
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specfying a new temp directory, by starting Elasticsearch with:
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[source,sh]
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--------------
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./bin/elasticsearch -Djna.tmpdir=/path/to/new/dir
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--------------
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WARNING: `mlockall` might cause the JVM or shell session to exit if it tries
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to allocate more memory than is available!
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--
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[float]
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[[settings]]
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=== Elasticsearch Settings
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*elasticsearch* configuration files can be found under `ES_HOME/config`
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folder. The folder comes with two files, the `elasticsearch.yml` for
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configuring Elasticsearch different
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<<modules,modules>>, and `logging.yml` for
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configuring the Elasticsearch logging.
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The configuration format is http://www.yaml.org/[YAML]. Here is an
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example of changing the address all network based modules will use to
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bind and publish to:
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[source,yaml]
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--------------------------------------------------
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network :
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host : 10.0.0.4
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--------------------------------------------------
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[float]
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[[paths]]
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==== Paths
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In production use, you will almost certainly want to change paths for
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data and log files:
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[source,yaml]
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--------------------------------------------------
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path:
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logs: /var/log/elasticsearch
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data: /var/data/elasticsearch
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--------------------------------------------------
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[float]
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[[cluster-name]]
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==== Cluster name
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Also, don't forget to give your production cluster a name, which is used
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to discover and auto-join other nodes:
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[source,yaml]
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--------------------------------------------------
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cluster:
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name: <NAME OF YOUR CLUSTER>
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--------------------------------------------------
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[float]
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[[node-name]]
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==== Node name
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You may also want to change the default node name for each node to
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something like the display hostname. By default Elasticsearch will
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randomly pick a Marvel character name from a list of around 3000 names
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when your node starts up.
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[source,yaml]
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--------------------------------------------------
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node:
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name: <NAME OF YOUR NODE>
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--------------------------------------------------
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The hostname of the machine is provided in the environment
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variable `HOSTNAME`. If on your machine you only run a
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single elasticsearch node for that cluster, you can set
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the node name to the hostname using the `${...}` notation:
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[source,yaml]
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--------------------------------------------------
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node:
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name: ${HOSTNAME}
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--------------------------------------------------
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Internally, all settings are collapsed into "namespaced" settings. For
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example, the above gets collapsed into `node.name`. This means that
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its easy to support other configuration formats, for example,
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http://www.json.org[JSON]. If JSON is a preferred configuration format,
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simply rename the `elasticsearch.yml` file to `elasticsearch.json` and
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add:
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[float]
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[[styles]]
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==== Configuration styles
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[source,yaml]
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--------------------------------------------------
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{
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"network" : {
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"host" : "10.0.0.4"
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}
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}
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--------------------------------------------------
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It also means that its easy to provide the settings externally either
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using the `ES_JAVA_OPTS` or as parameters to the `elasticsearch`
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command, for example:
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[source,sh]
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--------------------------------------------------
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$ elasticsearch -Des.network.host=10.0.0.4
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--------------------------------------------------
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Another option is to set `es.default.` prefix instead of `es.` prefix,
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which means the default setting will be used only if not explicitly set
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in the configuration file.
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Another option is to use the `${...}` notation within the configuration
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file which will resolve to an environment setting, for example:
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[source,js]
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--------------------------------------------------
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{
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"network" : {
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"host" : "${ES_NET_HOST}"
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}
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}
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--------------------------------------------------
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The location of the configuration file can be set externally using a
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system property:
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[source,sh]
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--------------------------------------------------
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$ elasticsearch -Des.config=/path/to/config/file
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--------------------------------------------------
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[float]
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[[configuration-index-settings]]
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=== Index Settings
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Indices created within the cluster can provide their own settings. For
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example, the following creates an index with memory based storage
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instead of the default file system based one (the format can be either
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YAML or JSON):
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[source,sh]
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--------------------------------------------------
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$ curl -XPUT http://localhost:9200/kimchy/ -d \
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'
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index :
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store:
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type: memory
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'
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--------------------------------------------------
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Index level settings can be set on the node level as well, for example,
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within the `elasticsearch.yml` file, the following can be set:
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[source,yaml]
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--------------------------------------------------
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index :
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store:
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type: memory
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--------------------------------------------------
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This means that every index that gets created on the specific node
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started with the mentioned configuration will store the index in memory
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*unless the index explicitly sets it*. In other words, any index level
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settings override what is set in the node configuration. Of course, the
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above can also be set as a "collapsed" setting, for example:
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[source,sh]
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--------------------------------------------------
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$ elasticsearch -Des.index.store.type=memory
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--------------------------------------------------
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All of the index level configuration can be found within each
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<<index-modules,index module>>.
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[float]
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[[logging]]
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=== Logging
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Elasticsearch uses an internal logging abstraction and comes, out of the
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box, with http://logging.apache.org/log4j/1.2/[log4j]. It tries to simplify
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log4j configuration by using http://www.yaml.org/[YAML] to configure it,
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and the logging configuration file is `config/logging.yml`. The
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http://en.wikipedia.org/wiki/JSON[JSON] and
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http://en.wikipedia.org/wiki/.properties[properties] formats are also
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supported. Multiple configuration files can be loaded, in which case they will
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get merged, as long as they start with the `logging.` prefix and end with one
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of the supported suffixes (either `.yml`, `.yaml`, `.json` or `.properties`).
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The logger section contains the java packages and their corresponding log
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level, where it is possible to omit the `org.elasticsearch` prefix. The
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appender section contains the destinations for the logs. Extensive information
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on how to customize logging and all the supported appenders can be found on
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the http://logging.apache.org/log4j/1.2/manual.html[log4j documentation].
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Additional Appenders and other logging classes provided by
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http://logging.apache.org/log4j/extras/[log4j-extras] are also available,
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out of the box.
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