##################### Elasticsearch Configuration Example
#####################
This file contains an overview of various configuration settings,
targeted at operations staff. Application developers should
The installation procedure is covered at
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
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 configuration
file.
################################### 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: test-cluster
#################################### Node
#####################################
Node names are generated dynamically on startup, so you're relieved
from configuring them manually. You can tie this node to a specific name:
node.name: "test"
Every node can be configured to allow or deny being eligible as the
master,
and to allow or deny to store the data.
Allow this node to be eligible as a master node (enabled by default):
node.master: true
Allow this node to store data (enabled by default):
node.data: true
You can exploit these settings to design advanced cluster topologies.
1. You want this node to never become a master node, only to hold data.
This will be the "workhorse" of your cluster.
node.master: false
node.data: true
2. You want this node to only serve as a master: to not store any data and
to have free resources. This will be the "coordinator" of your cluster.
node.master: true
node.data: false
3. You want this node to be neither master nor data node, but
to act as a "search load balancer" (fetching data from nodes,
aggregating results, etc.)
node.master: false
node.data: false
A node can have generic attributes associated with it, which can later be
used
for customized shard allocation filtering, or allocation awareness. An
attribute
is a simple key value pair, similar to node.key: value, here is an
example:
node.rack: rack314
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.
http://elasticsearch.org/guide/reference/api/admin-indices-create-index.html
for more information.
Analizer for case insensitive search
index:
analysis:
analyzer:
string_lowercase:
tokenizer: keyword
filter: lowercase
mapper:
dynamic: false
Set the number of shards (splits) of an index (5 by default):
#index.number_of_shards: 3
Set the number of replicas (additional copies) of an index (1 by default):
index.number_of_replicas: 1
Note, that for development on a local machine, with small indices, it
usually
makes sense to "disable" the distributed features:
index.number_of_shards: 1
index.number_of_replicas: 0
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.
the index status.
max_open_files: false
#################################### Paths
####################################
Path to directory containing configuration (this file and logging.yml):
path.conf: /path/to/conf
Path to directory where to store index data allocated for this node.
path.data: /var/lib/elasticsearch/data
Can optionally include more than one location, causing data to be striped
across
the locations (a la RAID 0) on a file level, favouring locations with
most free
space on creation. For example:
path.data: /path/to/data1,/path/to/data2
Path to temporary files:
path.work: /tmp/elastic/
Path to log files:
path.logs: /var/log/elasticsearch
Path to where plugins are installed:
path.plugins: /path/to/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:
bootstrap.mlockall: 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.
############################## 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: 192.168.0.88
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: 192.168.0.88
Set both 'bind_host' and 'publish_host':
network.host: 127.0.0.1
Set a custom port for the node to node communication (9300 by default):
#transport.tcp.port: 9300
Enable compression for all communication between nodes (disabled by
default):
transport.tcp.compress: true
Set a custom port to listen for HTTP traffic:
http.port: 9200
Set a custom allowed content length:
http.max_content_length: 100mb
Disable HTTP completely:
http.enabled: 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,
The default gateway type is the "local" gateway (recommended):
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:2
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
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: 1
############################# 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: 1
2. During adding/removing nodes, rebalancing, etc
cluster.routing.allocation.node_concurrent_recoveries: 1
Set to throttle throughput when recovering (eg. 100mb, by default
unlimited):
indices.recovery.max_size_per_sec: 0
Set to limit the number of open concurrent streams when
recovering a shard from a peer:
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. Set this option to a higher value (2-4)
for large clusters (>3 nodes):
#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
for more information.
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
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: ["localhost"]
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/tutorials/2011/08/22/elasticsearch-on-ec2.html
for a step-by-step tutorial.
################################## 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.ParNew.warn: 1000ms
#monitor.jvm.gc.ParNew.info: 700ms
#monitor.jvm.gc.ParNew.debug: 400ms
#monitor.jvm.gc.ConcurrentMarkSweep.warn: 10s
#monitor.jvm.gc.ConcurrentMarkSweep.info: 5s
#monitor.jvm.gc.ConcurrentMarkSweep.debug: 2s
#index.translog.flush_threshold_ops: 10000
#index.warmer.enabled: false
#ignore_conflicts: true
#index.mapping.ignore_malformed
indices.memory.index_buffer_size: 80%
index.store.compress.stored: true
index.store.fs.lock: none
threadpool.search.type: fixed
threadpool.search.size: 600
threadpool.search.queue_size: 10000
threadpool.bulk.type: fixed
threadpool.bulk.size: 600
threadpool.bulk.queue_size: 10000
threadpool.index.type: fixed
threadpool.index.size: 100
threadpool.index.queue_size: 5000
index.cache.field.type: soft
index.cache.field.max_size: 50000
index.cache.field.expire: 24h
This is elasticsearch conf file.
On Thursday, September 25, 2014 10:06:19 AM UTC+3, Jörg Prante wrote:
Can you post your settings from config/elasticsearch.yml?
Jörg
On Thu, Sep 25, 2014 at 9:03 AM, Umut Yerci <umut...@gmail.com
<javascript:>> wrote:
Elasticsearch runs on my low-configured system which has 4G memory and 4
cores CPUs. I get high-cpu usage problem with ES. Even after closing
analyzer(s), reduce threads size and etc.
While anaylzing the situation I got a stack trace for Elasticsearch and
see there are hundreds of threads, it is defined by config NP, but only
some of them running and only one thread has much percentage of CPU time.
Here is stack trace:
top - 09:51:44 up 1 day, 1:46, 2 users, load average: 4.94, 5.35, 5.29
Tasks: 684 total, 2 running, 682 sleeping, 0 stopped, 0 zombie
Cpu(s): 7.2%us, 1.1%sy, 0.8%ni, 83.7%id, 6.7%wa, 0.1%hi, 0.4%si,
0.0%st
Mem: 4043340k total, 3466748k used, 576592k free, 30272k
buffers
Swap: 4192960k total, 410704k used, 3782256k free, 465868k
cached
PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND
25134 root 20 0 1086m 978m 14m S 0.0 24.8 0:00.00 /usr/bin/java
-Xms808m -Xmx808m -Xss256k
25136 root 20 0 1086m 978m 14m S 0.0 24.8 0:03.34 /usr/bin/java
-Xms808m -Xmx808m -Xss256k
25137 root 20 0 1086m 978m 14m S 0.0 24.8 6:43.82 /usr/bin/java
-Xms808m -Xmx808m -Xss256k
25138 root 20 0 1086m 978m 14m S 0.0 24.8 6:43.17 /usr/bin/java
-Xms808m -Xmx808m -Xss256k
25139 root 20 0 1086m 978m 14m S 0.0 24.8 6:43.05 /usr/bin/java
-Xms808m -Xmx808m -Xss256k
25140 root 20 0 1086m 978m 14m S 0.0 24.8 6:40.66 /usr/bin/java
-Xms808m -Xmx808m -Xss256k
25141 root 20 0 1086m 978m 14m S 15.3 24.8 204:53.20 /usr/bin/java
-Xms808m -Xmx808m -Xss256k
25143 root 20 0 1086m 978m 14m S 0.0 24.8 10:47.46 /usr/bin/java
-Xms808m -Xmx808m -Xss256k
25144 root 20 0 1086m 978m 14m S 0.0 24.8 0:00.37 /usr/bin/java
-Xms808m -Xmx808m -Xss256k
25145 root 20 0 1086m 978m 14m S 0.0 24.8 0:00.04 /usr/bin/java
-Xms808m -Xmx808m -Xss256k
25146 root 20 0 1086m 978m 14m S 0.0 24.8 0:00.20 /usr/bin/java
-Xms808m -Xmx808m -Xss256k
25147 root 20 0 1086m 978m 14m S 0.0 24.8 0:00.00 /usr/bin/java
-Xms808m -Xmx808m -Xss256k
25148 root 20 0 1086m 978m 14m S 0.0 24.8 0:19.46 /usr/bin/java
-Xms808m -Xmx808m -Xss256k
25149 root 20 0 1086m 978m 14m S 0.0 24.8 0:24.54 /usr/bin/java
-Xms808m -Xmx808m -Xss256k
25150 root 20 0 1086m 978m 14m S 0.0 24.8 0:00.00 /usr/bin/java
-Xms808m -Xmx808m -Xss256k
25151 root 20 0 1086m 978m 14m S 0.0 24.8 0:16.63 /usr/bin/java
-Xms808m -Xmx808m -Xss256k
25156 root 20 0 1086m 978m 14m S 0.0 24.8 0:03.07 /usr/bin/java
-Xms808m -Xmx808m -Xss256k
25159 root 20 0 1086m 978m 14m S 0.3 24.8 3:46.78 /usr/bin/java
-Xms808m -Xmx808m -Xss256k
25201 root 20 0 1086m 978m 14m S 0.0 24.8 0:01.07 /usr/bin/java
-Xms808m -Xmx808m -Xss256k
25202 root 20 0 1086m 978m 14m S 0.0 24.8 0:01.16 /usr/bin/java
-Xms808m -Xmx808m -Xss256k
25205 root 20 0 1086m 978m 14m S 0.0 24.8 0:00.00 /usr/bin/java
-Xms808m -Xmx808m -Xss256k
25206 root 20 0 1086m 978m 14m S 0.0 24.8 0:00.54 /usr/bin/java
-Xms808m -Xmx808m -Xss256k
25207 root 20 0 1086m 978m 14m S 0.0 24.8 0:00.54 /usr/bin/java
-Xms808m -Xmx808m -Xss256k
25208 root 20 0 1086m 978m 14m S 0.0 24.8 0:00.52 /usr/bin/java
-Xms808m -Xmx808m -Xss256k
25209 root 20 0 1086m 978m 14m S 0.0 24.8 0:00.56 /usr/bin/java
-Xms808m -Xmx808m -Xss256k
25210 root 20 0 1086m 978m 14m S 0.0 24.8 0:00.54 /usr/bin/java
-Xms808m -Xmx808m -Xss256k
25211 root 20 0 1086m 978m 14m S 0.0 24.8 0:00.55 /usr/bin/java
-Xms808m -Xmx808m -Xss256k
25212 root 20 0 1086m 978m 14m S 0.0 24.8 0:00.53<span
style=
...
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