[[setup-configuration]] == Configuration [float] === Environment Variables Within the scripts, Elasticsearch comes with built in `JAVA_OPTS` passed to the JVM started. The most important setting for that is the `-Xmx` to control the maximum allowed memory for the process, and `-Xms` to control the minimum allocated memory for the process (_in general, the more memory allocated to the process, the better_). Most times it is better to leave the default `JAVA_OPTS` as they are, and use the `ES_JAVA_OPTS` environment variable in order to set / change JVM settings or arguments. The `ES_HEAP_SIZE` environment variable allows to set the heap memory that will be allocated to elasticsearch java process. It will allocate the same value to both min and max values, though those can be set explicitly (not recommended) by setting `ES_MIN_MEM` (defaults to `256m`), and `ES_MAX_MEM` (defaults to `1g`). It is recommended to set the min and max memory to the same value, and enable <>. [float] [[system]] === System Configuration [float] [[file-descriptors]] ==== File Descriptors Make sure to increase the number of open files descriptors on the machine (or for the user running elasticsearch). Setting it to 32k or even 64k is recommended. You can retrieve the `max_file_descriptors` for each node using the <> API, with: [source,js] -------------------------------------------------- curl localhost:9200/_nodes/stats/process?pretty -------------------------------------------------- [float] [[vm-max-map-count]] ==== Virtual memory Elasticsearch uses a <> directory by default to store its indices. The default operating system limits on mmap counts is likely to be too low, which may result in out of memory exceptions. On Linux, you can increase the limits by running the following command as `root`: [source,sh] ------------------------------------- sysctl -w vm.max_map_count=262144 ------------------------------------- To set this value permanently, update the `vm.max_map_count` setting in `/etc/sysctl.conf`. NOTE: If you installed Elasticsearch using a package (.deb, .rpm) this setting will be changed automatically. To verify, run `sysctl vm.max_map_count`. [float] [[setup-configuration-memory]] ==== Memory Settings Most operating systems try to use as much memory as possible for file system caches and eagerly swap out unused application memory, possibly resulting in the elasticsearch process being swapped. Swapping is very bad for performance and for node stability, so it should be avoided at all costs. There are three options: * **Disable swap** + -- The simplest option is to completely disable swap. Usually Elasticsearch is the only service running on a box, and its memory usage is controlled by the `ES_HEAP_SIZE` environment variable. There should be no need to have swap enabled. On Linux systems, you can disable swap temporarily by running: `sudo swapoff -a`. To disable it permanently, you will need to edit the `/etc/fstab` file and comment out any lines that contain the word `swap`. On Windows, the equivalent can be achieved by disabling the paging file entirely via `System Properties → Advanced → Performance → Advanced → Virtual memory`. -- * **Configure `swappiness`** + -- The second option is to ensure that the sysctl value `vm.swappiness` is set to `0`. This reduces the kernel's tendency to swap and should not lead to swapping under normal circumstances, while still allowing the whole system to swap in emergency conditions. NOTE: From kernel version 3.5-rc1 and above, a `swappiness` of `0` will cause the OOM killer to kill the process instead of allowing swapping. You will need to set `swappiness` to `1` to still allow swapping in emergencies. -- * **`mlockall`** + -- The third option is to use http://opengroup.org/onlinepubs/007908799/xsh/mlockall.html[mlockall] on Linux/Unix systems, or https://msdn.microsoft.com/en-us/library/windows/desktop/aa366895%28v=vs.85%29.aspx[VirtualLock] on Windows, to try to lock the process address space into RAM, preventing any Elasticsearch memory from being swapped out. This can be done, by adding this line to the `config/elasticsearch.yml` file: [source,yaml] -------------- bootstrap.mlockall: true -------------- After starting Elasticsearch, you can see whether this setting was applied successfully by checking the value of `mlockall` in the output from this request: [source,sh] -------------- curl http://localhost:9200/_nodes/process?pretty -------------- If you see that `mlockall` is `false`, then it means that the `mlockall` request has failed. The most probable reason, on Linux/Unix systems, is that the user running Elasticsearch doesn't have permission to lock memory. This can be granted by running `ulimit -l unlimited` as `root` before starting Elasticsearch. Another possible reason why `mlockall` can fail is that the temporary directory (usually `/tmp`) is mounted with the `noexec` option. This can be solved by specifying a new temp directory, by starting Elasticsearch with: [source,sh] -------------- ./bin/elasticsearch -Djna.tmpdir=/path/to/new/dir -------------- WARNING: `mlockall` might cause the JVM or shell session to exit if it tries to allocate more memory than is available! -- [float] [[settings]] === Elasticsearch Settings *elasticsearch* configuration files can be found under `ES_HOME/config` folder. The folder comes with two files, the `elasticsearch.yml` for configuring Elasticsearch different <>, and `logging.yml` for configuring the Elasticsearch logging. The configuration format is http://www.yaml.org/[YAML]. Here is an example of changing the address all network based modules will use to bind and publish to: [source,yaml] -------------------------------------------------- network : host : 10.0.0.4 -------------------------------------------------- [float] [[paths]] ==== Paths In production use, you will almost certainly want to change paths for data and log files: [source,yaml] -------------------------------------------------- path: logs: /var/log/elasticsearch data: /var/data/elasticsearch -------------------------------------------------- [float] [[cluster-name]] ==== Cluster name Also, don't forget to give your production cluster a name, which is used to discover and auto-join other nodes: [source,yaml] -------------------------------------------------- cluster: name: -------------------------------------------------- Make sure that you don't reuse the same cluster names in different environments, otherwise you might end up with nodes joining the wrong cluster. For instance you could use `logging-dev`, `logging-stage`, and `logging-prod` for the development, staging, and production clusters. [float] [[node-name]] ==== Node name You may also want to change the default node name for each node to something like the display hostname. By default Elasticsearch will randomly pick a Marvel character name from a list of around 3000 names when your node starts up. [source,yaml] -------------------------------------------------- node: name: -------------------------------------------------- The hostname of the machine is provided in the environment variable `HOSTNAME`. If on your machine you only run a single elasticsearch node for that cluster, you can set the node name to the hostname using the `${...}` notation: [source,yaml] -------------------------------------------------- node: name: ${HOSTNAME} -------------------------------------------------- Internally, all settings are collapsed into "namespaced" settings. For example, the above gets collapsed into `node.name`. This means that its easy to support other configuration formats, for example, http://www.json.org[JSON]. If JSON is a preferred configuration format, simply rename the `elasticsearch.yml` file to `elasticsearch.json` and add: [float] [[styles]] ==== Configuration styles [source,yaml] -------------------------------------------------- { "network" : { "host" : "10.0.0.4" } } -------------------------------------------------- It also means that its easy to provide the settings externally either using the `ES_JAVA_OPTS` or as parameters to the `elasticsearch` command, for example: [source,sh] -------------------------------------------------- $ elasticsearch -Des.network.host=10.0.0.4 -------------------------------------------------- Another option is to set `es.default.` prefix instead of `es.` prefix, which means the default setting will be used only if not explicitly set in the configuration file. Another option is to use the `${...}` notation within the configuration file which will resolve to an environment setting, for example: [source,js] -------------------------------------------------- { "network" : { "host" : "${ES_NET_HOST}" } } -------------------------------------------------- Additionally, for settings that you do not wish to store in the configuration file, you can use the value `${prompt.text}` or `${prompt.secret}` and start Elasticsearch in the foreground. `${prompt.secret}` has echoing disabled so that the value entered will not be shown in your terminal; `${prompt.text}` will allow you to see the value as you type it in. For example: [source,yaml] -------------------------------------------------- node: name: ${prompt.text} -------------------------------------------------- On execution of the `elasticsearch` command, you will be prompted to enter the actual value like so: [source,sh] -------------------------------------------------- Enter value for [node.name]: -------------------------------------------------- NOTE: Elasticsearch will not start if `${prompt.text}` or `${prompt.secret}` is used in the settings and the process is run as a service or in the background. [float] [[configuration-index-settings]] === Index Settings Indices created within the cluster can provide their own settings. For example, the following creates an index with a refresh interval of 5 seconds instead of the default refresh interval (the format can be either YAML or JSON): [source,sh] -------------------------------------------------- $ curl -XPUT http://localhost:9200/kimchy/ -d \ ' index: refresh_interval: 5s ' -------------------------------------------------- Index level settings can be set on the node level as well, for example, within the `elasticsearch.yml` file, the following can be set: [source,yaml] -------------------------------------------------- index : refresh_interval: 5s -------------------------------------------------- This means that every index that gets created on the specific node started with the mentioned configuration will use a refresh interval of 5 seconds *unless the index explicitly sets it*. In other words, any index level settings override what is set in the node configuration. Of course, the above can also be set as a "collapsed" setting, for example: [source,sh] -------------------------------------------------- $ elasticsearch -Des.index.refresh_interval=5s -------------------------------------------------- All of the index level configuration can be found within each <>. [float] [[logging]] === Logging Elasticsearch uses an internal logging abstraction and comes, out of the box, with http://logging.apache.org/log4j/1.2/[log4j]. It tries to simplify log4j configuration by using http://www.yaml.org/[YAML] to configure it, and the logging configuration file is `config/logging.yml`. The http://en.wikipedia.org/wiki/JSON[JSON] and http://en.wikipedia.org/wiki/.properties[properties] formats are also supported. Multiple configuration files can be loaded, in which case they will get merged, as long as they start with the `logging.` prefix and end with one of the supported suffixes (either `.yml`, `.yaml`, `.json` or `.properties`). The logger section contains the java packages and their corresponding log level, where it is possible to omit the `org.elasticsearch` prefix. The appender section contains the destinations for the logs. Extensive information on how to customize logging and all the supported appenders can be found on the http://logging.apache.org/log4j/1.2/manual.html[log4j documentation]. Additional Appenders and other logging classes provided by http://logging.apache.org/log4j/extras/[log4j-extras] are also available, out of the box. [float] [[deprecation-logging]] ==== Deprecation logging In addition to regular logging, Elasticsearch allows you to enable logging of deprecated actions. For example this allows you to determine early, if you need to migrate certain functionality in the future. By default, deprecation logging is disabled. You can enable it in the `config/logging.yml` file by setting the deprecation log level to `DEBUG`. [source,yaml] -------------------------------------------------- deprecation: DEBUG, deprecation_log_file -------------------------------------------------- This will create a daily rolling deprecation log file in your log directory. Check this file regularly, especially when you intend to upgrade to a new major version.