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Submitted URL: http://www.instaclustr.com/understanding-and-configuring-elasticsearch-node-types/
Effective URL: https://www.instaclustr.com/understanding-and-configuring-elasticsearch-node-types/
Submission: On August 28 via api from SG
Effective URL: https://www.instaclustr.com/understanding-and-configuring-elasticsearch-node-types/
Submission: On August 28 via api from SG
Form analysis 6 forms found in the DOM
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Necessary cookies help make a website usable by enabling basic functions like
page navigation and access to secure areas of the website. The website cannot
function properly without these cookies.
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support.instaclustr.comThis cookie is a part of the services provided by
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beneficial for the website, in order to make valid reports on the use of their
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www.instaclustr.comThis cookie is necessary for the chat-box function on the
website to function.PersistentHTML_help_center_sessionZendeskPreserves users
states across page requests.SessionHTTPCookieConsent [x5]CookiebotStores the
user's cookie consent state for the current domain1 yearHTTPZD-suid [x3]Zendesk
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serving the visitor. This is used in context with load balancing, in order to
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daysHTTPic2sidconsole.instaclustr.comPendingSessionHTTPBIGipServer#MarketoUsed
to distribute traffic to the website on several servers in order to optimise
response times.SessionHTTP_okwww.instaclustr.comIdentifies the visitor across
devices and visits, in order to optimize the chat-box function on the website.
SessionHTTPolfskwww.instaclustr.comThis cookie is necessary for the login
function on the website. 2 yearsHTTPPHPSESSIDwww.instaclustr.comPreserves user
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requests.SessionHTTPwordpress_test_cookiewww.instaclustr.comUsed to check if the
user's browser supports cookies.SessionHTTPli_gcLinkedInStores the user's cookie
consent state for the current domain2 yearsHTTPlanguageLinkedInSaves the user's
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necessary for GDPR-compliance of the website. 5972 daysHTTP
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the website behaves or looks, like your preferred language or the region that
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choices. 1 yearHTTP_okbkwww.instaclustr.comIdentifies the visitor across devices
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visits, in order to optimize the chat-box function on the website. 1
dayHTTP_okcswww.instaclustr.comIdentifies the visitor across devices and visits,
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SessionHTTP_okdetectwww.instaclustr.comIdentifies the visitor across devices and
visits, in order to optimize the chat-box function on the website.
PersistentHTML_oklvwww.instaclustr.comIdentifies the visitor across devices and
visits, in order to optimize the chat-box function on the website. SessionHTTP
Statistic cookies help website owners to understand how visitors interact with
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Technical — Elasticsearch Wednesday 14th July 2021
UNDERSTANDING AND CONFIGURING ELASTICSEARCH NODE TYPES
By Shelby Carpenter
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ELASTICSEARCH BASICS
If you’re getting started with the Open Distro of Elasticsearch, or its
replacement, OpenSearch, you need to start with a firm foundation on how to
configure nodes within a given cluster. A key part of setting your
configurations is deciding what node types you want for individual nodes.
Read: Changes to Elasticsearch Licensing.
Much like Apache Cassandra—where multiple copies of the data are kept across
nodes and you can add more to a live cluster—Elasticsearch scales horizontally.
With Apache Lucene at the core, Elasticsearch provides a distributed, scalable,
low-latency way to search your most valuable information, from articles to logs.
Within Elasticsearch, each node (be it a physical server, virtual server, etc.)
is part of a cluster. Each cluster is simply a collection of different nodes,
and each node can only be a part of one cluster (so clusters can’t share
nodes).
As a distributed system, Elasticsearch automatically handles partitioning
documents into shards (which are stored on multiple nodes), balancing shards
across nodes, duplicating shards for redundancy and availability, and routing
requests to the appropriate node. These management features are the essence of
what Elasticsearch does “above” the actual Apache Lucene indices.
Clusters in Elasticsearch are identified by unique names, and can automatically
reorganize when individual nodes are added or removed. Different node types
within a cluster perform different tasks, and, like clusters, each node gets a
unique name. Note that while the terminology regarding node types may change in
the evolution from the Open Distro of Elasticsearch to OpenSearch, the core
concepts and node tasks for each role will remain the same.
THE FIVE BIGGEST CHALLENGES OF ELASTICSEARCH
Read on to explore the key challenges, use cases, and benefits of using
Elasticsearch.
Download White Paper
The main node types you need to be familiar with are master, data, ingest, and
coordinating. Read on to learn more about different node types, best practices
for node type configurations, and how to configure node types using the
Instaclustr Managed Platform and APIs.
An example of a three-node cluster, where each node is master-eligible and can
serve in the data, ingest, and coordinating role as needed.
MASTER NODES
Typically in Elasticsearch, all nodes are master-eligible by default. Master
nodes are responsible for certain critical tasks throughout the cluster,
including creating or deleting indexes, tracking nodes, and allocating shards to
nodes. The master node for your cluster is elected from among your
master-eligible nodes, and there can only be one node serving in the master role
at a time.
Dedicated master nodes can be provisioned with fewer resources than data nodes
because they only handle cluster state and not user data (note that in the
Instaclustr Managed Platform, during provisioning and configuration users select
“dedicated master nodes” rather than “dedicated master-eligible nodes”). Placing
these nodes into different failure zones or availability zones of a cloud, along
with multiple copies of the data on the data nodes, enables the cluster as a
whole to survive numerous types of server, zone, and data center failures.
The master node is elected from among your dedicated master nodes (also known as
dedicated master-eligible nodes).
DATA NODES
Data nodes are responsible for holding data and performing data-related
operations. This includes CRUD operations, indexing, search, and aggregations.
You can configure data nodes so that they only do search and aggregation, not
any indexing, to reduce the load in the individual nodes. All nodes are data
nodes by default.
Information is broken into shards and stored across different data nodes in your
cluster.
COORDINATING NODES
Coordinating nodes direct requests to a master node or data node. These nodes
essentially act as smart load balancers. Coordinating nodes help reduce the load
on individual data and master nodes, which makes a particularly big difference
in the case of large clusters. Coordinating nodes are sometimes called “client”
nodes. All nodes are by default coordinating nodes.
INGEST NODES
Ingest nodes are in charge of pre-processing documents before they are indexed.
These are also known as “transform” nodes because they help transform documents
for indexing. All nodes are also ingest nodes by default. Some organizations
elect to use ingest nodes instead of Logstash for piping in and processing log
data.
An example of how an organization might organize ingest, data, dedicated master,
and client nodes in a large cluster.
CREATING A CLUSTER IN THE INSTACLUSTR MANAGED PLATFORM
For Instaclustr Managed Elasticsearch customers, new clusters can easily be
created from within the Instaclustr Managed Console. The minimum you need to get
started is to choose your cluster name, technology (the Open Distro of
Elasticsearch in this case), and software version.
Then you choose your cloud and any enterprise features you want.
Then choose different features of your cluster setup (such as dedicated master
or Kibana nodes), as well as your cloud region and your number of nodes, their
type, and their sizes.
If you prefer to interact with the platform via API, you can also create a new
cluster through our Provisioning API. API requests should go in the form of a
POST request to the provisioning API here:
https://api.instaclustr.com/provisioning/v1/extended
1
https://api.instaclustr.com/provisioning/v1/extended
The following is an example of a JSON payload for a POST API request to
provision a three-node production cluster hosted in AWS.
{ "bundles": [ { "bundle": "ELASTICSEARCH", "options": { "clientEncryption":
"true", "dedicatedMasterNodes": "true", "masterNodeSize": "m5l-250-v2",
"securityPlugin": "true" }, "version": "opendistro-for-elasticsearch:1.8.0" } ],
"clusterName": "elasticsearch_test", "clusterNetwork": "192.168.0.0/18",
"dataCentre": "US_EAST_1", "nodeSize": "m5l-250-v2", "provider": { "name":
"AWS_VPC" }, "rackAllocation": { "nodesPerRack": 1, "numberOfRacks": 3 },
"slaTier": "PRODUCTION"
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{
"bundles": [
{
"bundle": "ELASTICSEARCH",
"options": {
"clientEncryption": "true",
"dedicatedMasterNodes": "true",
"masterNodeSize": "m5l-250-v2",
"securityPlugin": "true"
},
"version": "opendistro-for-elasticsearch:1.8.0"
}
],
"clusterName": "elasticsearch_test",
"clusterNetwork": "192.168.0.0/18",
"dataCentre": "US_EAST_1",
"nodeSize": "m5l-250-v2",
"provider": {
"name": "AWS_VPC"
},
"rackAllocation": {
"nodesPerRack": 1,
"numberOfRacks": 3
},
"slaTier": "PRODUCTION"
For further details on making API calls check out our API documentation here.
CONFIGURING NODE TYPES IN THE INSTACLUSTR MANAGED PLATFORM
The great thing about the Instaclustr Managed Platform is how easy it makes it
to provision and configure your Elasticsearch cluster through your preferred
means: the Console (no code required) or API. You can easily spin up a cluster,
set node types and sizes, monitor performance, and resize as necessary. Within
the Instaclustr Platform, there are no dedicated data, ingest, or coordinator
nodes; rather, if using dedicated master nodes, then by default the other nodes
will hold all of the alternative roles and perform related tasks as needed.
The following are some tips to consider when configuring your own cluster:
Tip #1: Use Dedicated Master Nodes for Production Clusters: Typically all nodes
are master-eligible, but if those nodes go under heavy load it can overwhelm the
master node and cause problems for your cluster. Having three dedicated master
nodes that are responsible just for serving in this role, and not for data or
ingest, prevents this issue.
You can easily configure this setup for your cluster in the Console for the
Instaclustr Managed Platform by checking the appropriate box when you’re in the
Elasticsearch Setup section:
Tip #2: Monitor CPU Usage and OS Load: If your node is at the upper end of its
potential CPU usage, or if its average OS load is greater than the number of
cores, it may be time to resize or add additional nodes for greater processing
capabilities.
If you’re an Instaclustr Managed Elasticsearch customer, you can easily monitor
CPU usage from within the Console or via our Monitoring API. If you need to
resize a node after provisioning, this can also be done via the Console or the
Provisioning API without the need to get help from Instaclustr Support.
From within the Instaclustr Console, you can monitor both CPU usage and OS load
for the individual nodes in your cluster. Here is an example of a CPU usage
graph for a test cluster.
Using the Monitoring API, you can also make a GET API call to get metrics. Users
need to make an GET request to this address:
https://api.instaclustr.com/monitoring/v1/{clusterId}/metrics
1
https://api.instaclustr.com/monitoring/v1/{clusterId}/metrics
n::cpuUtilization is the metric value to get CPU utilization and n::osload is
the value for metric to use for current OS load.
You can draw from the following code sample in Python and Python 3 to make a
request:
import http.client conn = http.client.HTTPSConnection("api.instaclustr.com")
headers = { 'authorization': "Basic REPLACE_BASIC_AUTH" } conn.request("GET",
"/monitoring/v1/{clusterId}/metrics", headers=headers) res = conn.getresponse()
data = res.read() print(data.decode("utf-8"))
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import http.client
conn = http.client.HTTPSConnection("api.instaclustr.com")
headers = { 'authorization': "Basic REPLACE_BASIC_AUTH" }
conn.request("GET", "/monitoring/v1/{clusterId}/metrics", headers=headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))
Tip #3: Choose Higher-End SSD Instances for Critical Workloads: Solid state
drives (SSDs) generally provide the highest performance for Elasticsearch nodes
because Elasticsearch workloads tend to be I/O bound. But when setting up your
cluster, you’ll have a range of disk sizes to choose from. When selecting your
disk size, it’s important to know your anticipated workload. For data that is
going to be infrequently accessed and where latency isn’t an issue, such as
security logs, you can likely choose a less expensive storage option to save
money. However, if a customer interaction is downstream, such as if you’re using
Elasticsearch for the search function within a customer-facing application, it’s
worth getting the fastest disks available to optimize these interactions.
HOW WILL THINGS CHANGE WITH OPENSEARCH?
If you’re currently using the Open Distro of Elasticsearch, you’re likely
planning to move to its replacement, OpenSearch. The core node types will not
change as a part of this transition, though some terminology may change. To
learn more, check out the OpenSearch documentation on this topic. Also, continue
to check out the Instaclustr blog for updates as we roll out OpenSearch as part
of our Managed Platform for our customers.
Have more questions on configuring node types or other best practices for
Elasticsearch or OpenSearch? Reach out to schedule a consultation with one of
our experts.
Also Read Elasticsearch test drive Including Documents, Mappings, and Indexing;
Stemming, Lemmatization, Levenshtein Fuzzy Queries, N-grams, and Slop!
By Shelby Carpenter Wednesday 14th July 2021
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