kubernetes/aai/components/aai-elasticsearch/resources/config/elasticsearch.yml

# Copyright © 2018 Amdocs, Bell Canada, AT&T
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#       http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.


##################### Elasticsearch Configuration Example #####################

# This file contains an overview of various configuration settings,
# targeted at operations staff. Application developers should
# consult the guide at <http://elasticsearch.org/guide>.
#
# The installation procedure is covered at
# <http://elasticsearch.org/guide/en/elasticsearch/reference/current/setup.html>.
#
# Elasticsearch comes with reasonable defaults for most settings,
# so you can try it out without bothering with configuration.
#
# Most of the time, these defaults are just fine for running a production
# cluster. If you're fine-tuning your cluster, or wondering about the
# effect of certain configuration option, please _do ask_ on the
# mailing list or IRC channel [http://elasticsearch.org/community].

# Any element in the configuration can be replaced with environment variables
# by placing them in ${...} notation. For example:
#
# node.rack: ${RACK_ENV_VAR}

# For information on supported formats and syntax for the config file, see
# <http://elasticsearch.org/guide/en/elasticsearch/reference/current/setup-configuration.html>
################################### Cluster ###################################

# Cluster name identifies your cluster for auto-discovery. If you're running
# multiple clusters on the same network, make sure you're using unique names.
#
# cluster.name: elasticsearch

cluster.name: ES_AAI

#################################### Node #####################################

node.name: ES_ONAP
node.master: true
node.data: true


# Use the Cluster Health API [http://localhost:9200/_cluster/health], the
# Node Info API [http://localhost:9200/_nodes] or GUI tools
# such as <http://www.elasticsearch.org/overview/marvel/>,
# <http://github.com/karmi/elasticsearch-paramedic>,
# <http://github.com/lukas-vlcek/bigdesk> and
# <http://mobz.github.com/elasticsearch-head> to inspect the cluster state.

# By default, multiple nodes are allowed to start from the same installation location
# to disable it, set the following:

node.max_local_storage_nodes: 1


#################################### Index ####################################
# You can set a number of options (such as shard/replica options, mapping
# or analyzer definitions, translog settings, ...) for indices globally,
# in this file.
#
# Note, that it makes more sense to configure index settings specifically for
# a certain index, either when creating it or by using the index templates API.
#
# See <http://elasticsearch.org/guide/en/elasticsearch/reference/current/index-modules.html> and
# <http://elasticsearch.org/guide/en/elasticsearch/reference/current/indices-create-index.html>
# for more information.

# Set the number of shards (splits) of an index (5 by default):

#index.number_of_shards: 5

# Set the number of replicas (additional copies) of an index (1 by default):

#index.number_of_replicas: 1

# These settings directly affect the performance of index and search operations
# in your cluster. Assuming you have enough machines to hold shards and
# replicas, the rule of thumb is:
#
# 1. Having more *shards* enhances the _indexing_ performance and allows to
#    _distribute_ a big index across machines.
# 2. Having more *replicas* enhances the _search_ performance and improves the
#    cluster _availability_.
#
# The "number_of_shards" is a one-time setting for an index.
#
# The "number_of_replicas" can be increased or decreased anytime,
# by using the Index Update Settings API.
#
# Elasticsearch takes care about load balancing, relocating, gathering the
# results from nodes, etc. Experiment with different settings to fine-tune
# your setup.

# Use the Index Status API (<http://localhost:9200/A/_status>) to inspect
# the index status.


#################################### Paths ####################################

# Path to directory containing configuration (this file and logging.yml):
#path.conf: /opt/app/elasticsearch/config

# Path to directory where to store index data allocated for this node.
# Use swm auto link to redirect the data directory if necessary.

path.data: /usr/share/elasticsearch/data

# path.data: /path/to/data1,/path/to/data2

# path.work: /path/to/work

path.logs: /usr/share/elasticsearch/logs

#path.plugins: /opt/app/elasticsearch/plugins


#################################### Plugin ###################################

# If a plugin listed here is not installed for current node, the node will not start.
#
# plugin.mandatory: mapper-attachments,lang-groovy


################################### Memory ####################################

# Elasticsearch performs poorly when JVM starts swapping: you should ensure that
# it _never_ swaps.
#
# Set this property to true to lock the memory: default is true

#bootstrap.memory_lock: true

# Make sure that the ES_MIN_MEM and ES_MAX_MEM environment variables are set
# to the same value, and that the machine has enough memory to allocate
# for Elasticsearch, leaving enough memory for the operating system itself.
#
# You should also make sure that the Elasticsearch process is allowed to lock
# the memory, eg. by using `ulimit -l unlimited`.

### Kernel Settings

# Elasticsearch installs system call filters of various flavors depending on the
# operating system (e.g., seccomp on Linux). These system call filters are
# installed to prevent the ability to execute system calls related to forking
# as a defense mechanism against arbitrary code execution attacks on
# Elasticsearch The system call filter check ensures that if system call
# filters are enabled, then they were successfully installed. To pass the system
# call filter check you must either fix any configuration errors on your system
# that prevented system call filters from installing (check your logs), or at
# your own risk disable system call filters by setting
# bootstrap.system_call_filter to false.
# See: https://www.elastic.co/guide/en/elasticsearch/reference/current/system-call-filter-check.html
#
# seccomp is found in Linux kernels: 2.6.37–2.6.39, 3.0–3.19, 4.0–4.9,
# 4.10-rc+HEAD
#
# The default setting is to disable the filters assuming an older kernel
# version where seccomp is not available.
# See: https://discuss.elastic.co/t/elasticsearch-warn-unable-to-install-syscall-filter/42819

bootstrap.system_call_filter: false

############################## Network And HTTP ###############################
# Elasticsearch, by default, binds itself to the 0.0.0.0 address, and listens
# on port [9200-9300] for HTTP traffic and on port [9300-9400] for node-to-node
# communication. (the range means that if the port is busy, it will automatically
# try the next port).

# Set the bind address specifically (IPv4 or IPv6):
network.bind_host: 0.0.0.0

# Set the address other nodes will use to communicate with this node. If not
# set, it is automatically derived. It must point to an actual IP address.

# network.publish_host: 0.0.0.0

# Set both 'bind_host' and 'publish_host':
# network.host: 192.168.0.1


# Set a custom port for the node to node communication (9300 by default):
transport.tcp.port: {{ .Values.service.internalPort2 }}

# Enable compression for all communication between nodes (disabled by default):
transport.tcp.compress: false

# Set a custom port to listen for HTTP traffic:
# http.port: 9200
http.port: {{ .Values.service.internalPort }}

# Set a custom allowed content length:
# http.max_content_length: 100mb
http.max_content_length: 100mb

# Disable HTTP completely:
# http.enabled: false
http.enabled: true

# This is specifically useful for permitting which front end Kibana Url's are permitted to access elastic search.
http.cors.enabled: false
http.cors.allow-origin: "/.*/"
http.cors.allow-headers: X-Requested-With, Content-Type, Content-Length
http.cors.allow-credentials: false
################################### Gateway ###################################

# The gateway allows for persisting the cluster state between full cluster
# restarts. Every change to the state (such as adding an index) will be stored
# in the gateway, and when the cluster starts up for the first time,
# it will read its state from the gateway.
# There are several types of gateway implementations. For more information, see
# <http://elasticsearch.org/guide/en/elasticsearch/reference/current/modules-gateway.html>.

# The default gateway type is the "local" gateway (recommended):
#
#gateway.type: local
#gateway.type: local

# Settings below control how and when to start the initial recovery process on
# a full cluster restart (to reuse as much local data as possible when using shared
# gateway).

# Allow recovery process after N nodes in a cluster are up:
#
# gateway.recover_after_nodes: 1
gateway.recover_after_nodes: 1

# Set the timeout to initiate the recovery process, once the N nodes
# from previous setting are up (accepts time value):
#
#gateway.recover_after_time: 5m
gateway.recover_after_time: 5m

# Set how many nodes are expected in this cluster. Once these N nodes
# are up (and recover_after_nodes is met), begin recovery process immediately
# (without waiting for recover_after_time to expire):
#
# gateway.expected_nodes: 2
gateway.expected_nodes: 2

############################# Recovery Throttling #############################

# These settings allow to control the process of shards allocation between
# nodes during initial recovery, replica allocation, rebalancing,
# or when adding and removing nodes.

# Set the number of concurrent recoveries happening on a node:
#
# 1. During the initial recovery
#
# cluster.routing.allocation.node_initial_primaries_recoveries: 4
#
# 2. During adding/removing nodes, rebalancing, etc
#
# cluster.routing.allocation.node_concurrent_recoveries: 2

# Set to throttle throughput when recovering (eg. 100mb, by default 20mb):
# indices.recovery.max_bytes_per_sec: 20mb
indices.recovery.max_bytes_per_sec: 20mb

# Set to limit the number of open concurrent streams when
# recovering a shard from a peer:
#
# indices.recovery.concurrent_streams: 5
#indices.recovery.concurrent_streams: 5

################################## Discovery ##################################

# Discovery infrastructure ensures nodes can be found within a cluster
# and master node is elected. Multicast discovery is the default.

# Set to ensure a node sees N other master eligible nodes to be considered
# operational within the cluster. Its recommended to set it to a higher value
# than 1 when running more than 2 nodes in the cluster.
#
discovery.zen.minimum_master_nodes: 1

# Set the time to wait for ping responses from other nodes when discovering.
# Set this option to a higher value on a slow or congested network
# to minimize discovery failures:
#
# discovery.zen.ping_timeout: 3s
discovery.zen.ping_timeout: 3s

# For more information, see
# <http://elasticsearch.org/guide/en/elasticsearch/reference/current/modules-discovery-zen.html>

# Unicast discovery allows to explicitly control which nodes will be used
# to discover the cluster. It can be used when multicast is not present,
# or to restrict the cluster communication-wise.
#
# 1. Disable multicast discovery (enabled by default):
# discovery.zen.ping.multicast.enabled: false
#discovery.zen.ping.multicast.enabled: false


# 2. Configure an initial list of master nodes in the cluster
#    to perform discovery when new nodes (master or data) are started:
#
# discovery.zen.ping.unicast.hosts: ["host1", "host2:port"]
discovery.zen.ping.unicast.hosts: ["0.0.0.0"]

# EC2 discovery allows to use AWS EC2 API in order to perform discovery.
#
# You have to install the cloud-aws plugin for enabling the EC2 discovery.
#
# For more information, see
# <http://elasticsearch.org/guide/en/elasticsearch/reference/current/modules-discovery-ec2.html>
#
#
# See <http://elasticsearch.org/tutorials/elasticsearch-on-ec2/>
# for a step-by-step tutorial.

# GCE discovery allows to use Google Compute Engine API in order to perform discovery.
#
# You have to install the cloud-gce plugin for enabling the GCE discovery.
#
# For more information, see <https://github.com/elasticsearch/elasticsearch-cloud-gce>.

# Azure discovery allows to use Azure API in order to perform discovery.
#
# You have to install the cloud-azure plugin for enabling the Azure discovery.
#
# For more information, see <https://github.com/elasticsearch/elasticsearch-cloud-azure>.

################################## Slow Log ##################################

# Shard level query and fetch threshold logging.

#index.search.slowlog.threshold.query.warn: 10s
#index.search.slowlog.threshold.query.info: 5s
#index.search.slowlog.threshold.query.debug: 2s
#index.search.slowlog.threshold.query.trace: 500ms

#index.search.slowlog.threshold.fetch.warn: 1s
#index.search.slowlog.threshold.fetch.info: 800ms
#index.search.slowlog.threshold.fetch.debug: 500ms
#index.search.slowlog.threshold.fetch.trace: 200ms

#index.indexing.slowlog.threshold.index.warn: 10s
#index.indexing.slowlog.threshold.index.info: 5s
#index.indexing.slowlog.threshold.index.debug: 2s
#index.indexing.slowlog.threshold.index.trace: 500ms

################################## GC Logging ################################

#monitor.jvm.gc.young.warn: 1000ms
#monitor.jvm.gc.young.info: 700ms
#monitor.jvm.gc.young.debug: 400ms

#monitor.jvm.gc.old.warn: 10s
#monitor.jvm.gc.old.info: 5s
#monitor.jvm.gc.old.debug: 2s


# x-pack security conflicts with searchguard
xpack.security.enabled: false
xpack.ml.enabled: false
xpack.monitoring.enabled: false
xpack.watcher.enabled: false