Compute
Elastic Cloud Server
Huawei Cloud Flexus
Bare Metal Server
Auto Scaling
Image Management Service
Dedicated Host
FunctionGraph
Cloud Phone Host
Huawei Cloud EulerOS
Networking
Virtual Private Cloud
Elastic IP
Elastic Load Balance
NAT Gateway
Direct Connect
Virtual Private Network
VPC Endpoint
Cloud Connect
Enterprise Router
Enterprise Switch
Global Accelerator
Management & Governance
Cloud Eye
Identity and Access Management
Cloud Trace Service
Resource Formation Service
Tag Management Service
Log Tank Service
Config
OneAccess
Resource Access Manager
Simple Message Notification
Application Performance Management
Application Operations Management
Organizations
Optimization Advisor
IAM Identity Center
Cloud Operations Center
Resource Governance Center
Migration
Server Migration Service
Object Storage Migration Service
Cloud Data Migration
Migration Center
Cloud Ecosystem
KooGallery
Partner Center
User Support
My Account
Billing Center
Cost Center
Resource Center
Enterprise Management
Service Tickets
HUAWEI CLOUD (International) FAQs
ICP Filing
Support Plans
My Credentials
Customer Operation Capabilities
Partner Support Plans
Professional Services
Analytics
MapReduce Service
Data Lake Insight
CloudTable Service
Cloud Search Service
Data Lake Visualization
Data Ingestion Service
GaussDB(DWS)
DataArts Studio
Data Lake Factory
DataArts Lake Formation
IoT
IoT Device Access
Others
Product Pricing Details
System Permissions
Console Quick Start
Common FAQs
Instructions for Associating with a HUAWEI CLOUD Partner
Message Center
Security & Compliance
Security Technologies and Applications
Web Application Firewall
Host Security Service
Cloud Firewall
SecMaster
Anti-DDoS Service
Data Encryption Workshop
Database Security Service
Cloud Bastion Host
Data Security Center
Cloud Certificate Manager
Edge Security
Situation Awareness
Managed Threat Detection
Blockchain
Blockchain Service
Web3 Node Engine Service
Media Services
Media Processing Center
Video On Demand
Live
SparkRTC
MetaStudio
Storage
Object Storage Service
Elastic Volume Service
Cloud Backup and Recovery
Storage Disaster Recovery Service
Scalable File Service Turbo
Scalable File Service
Volume Backup Service
Cloud Server Backup Service
Data Express Service
Dedicated Distributed Storage Service
Containers
Cloud Container Engine
SoftWare Repository for Container
Application Service Mesh
Ubiquitous Cloud Native Service
Cloud Container Instance
Databases
Relational Database Service
Document Database Service
Data Admin Service
Data Replication Service
GeminiDB
GaussDB
Distributed Database Middleware
Database and Application Migration UGO
TaurusDB
Middleware
Distributed Cache Service
API Gateway
Distributed Message Service for Kafka
Distributed Message Service for RabbitMQ
Distributed Message Service for RocketMQ
Cloud Service Engine
Multi-Site High Availability Service
EventGrid
Dedicated Cloud
Dedicated Computing Cluster
Business Applications
Workspace
ROMA Connect
Message & SMS
Domain Name Service
Edge Data Center Management
Meeting
AI
Face Recognition Service
Graph Engine Service
Content Moderation
Image Recognition
Optical Character Recognition
ModelArts
ImageSearch
Conversational Bot Service
Speech Interaction Service
Huawei HiLens
Video Intelligent Analysis Service
Developer Tools
SDK Developer Guide
API Request Signing Guide
Terraform
Koo Command Line Interface
Content Delivery & Edge Computing
Content Delivery Network
Intelligent EdgeFabric
CloudPond
Intelligent EdgeCloud
Solutions
SAP Cloud
High Performance Computing
Developer Services
ServiceStage
CodeArts
CodeArts PerfTest
CodeArts Req
CodeArts Pipeline
CodeArts Build
CodeArts Deploy
CodeArts Artifact
CodeArts TestPlan
CodeArts Check
CodeArts Repo
Cloud Application Engine
MacroVerse aPaaS
KooMessage
KooPhone
KooDrive
On this page

Show all

Procedure for Using OpenSearch

Updated on 2025-01-23 GMT+08:00
Table 1 Procedure for using an OpenSearch cluster

Category

Operation

Details

Use

Planning a cluster

Before creating an OpenSearch cluster, develop a plan for it, such as whether to deploy the cluster across multiple AZs to improve availability; the node quantity and specifications; the cluster version and security mode; and index sharding, in order to ensure the desired performance and reliability.

OpenSearch Cluster Planning Suggestions

Creating a cluster

Create an OpenSearch cluster based on the plan.

Creating an OpenSearch Cluster

Accessing a cluster

There are many ways to access an OpenSearch cluster, such as Kibana, Cerebro, open-source APIs, Java, Python, and Go clients, as well as multiple network configurations over an intranet and the public network. You can select the most appropriate access method based on the programming language you prefer as well as your network environment.

OpenSearch Cluster Access Methods

Importing data

There are many ways to import data to an OpenSearch cluster, including Logstash, open-source Elasticsearch APIs, Cloud Data Migration (CDM), and Data Replication Service (DRS), with support for different data sources and formats, as well as real-time synchronization for relational databases. You can select the best way for yourself based on your use case and the characteristics of your data.

Different Ways to Import Data to an OpenSearch Cluster

Searching for data

With CSS, you are advised to use DSL for data search in OpenSearch clusters. You may also use SQL.

Using DSL to Search for Data in OpenSearch

Using SQL to Search for Data in OpenSearch

Enhancing the cluster's search capability

On top of the open-source version, CSS's OpenSearch clusters offer a range of enhanced features, including vector search, storage-compute decoupling, flow control, large query isolation, aggregation enhancement, read/write splitting, switchover between hot and cold data storage classes, and index recycle bin. These features help you meet performance and cost optimization requirements for different use cases, while enhancing the service's cluster stability and search capability.

Search Enhancement Features for OpenSearch Clusters

O&M

Backup and restoration

Snapshots can be created to back up the data of an OpenSearch cluster, so that data can be quickly restored in the case of accidental data loss or in case historical data is needed, improving cluster data availability.

Creating a Snapshot to Back Up the Data of an OpenSearch Cluster

Restoring the Data of an OpenSearch Cluster

Scaling a cluster

CSS provides flexible scale-out and scale-in options, using which you can add or reduce nodes (either randomly or with specified nodes), add node types, and increase or reduce node specifications. This allows you to dynamically adjust cluster resources to meet changing demand and optimize costs.

Scaling Out an OpenSearch Cluster

Scaling In an OpenSearch Cluster

Upgrade

OpenSearch clusters support both same-version upgrade and cross-version upgrade. Same-version upgrade means to upgrade the kernel patches to fix problems or optimize performance. Cross-version upgrade means to upgrade the cluster version to enhance functionality or incorporate versions.

Upgrading the Version of an OpenSearch Cluster

Managing clusters

CSS provides comprehensive cluster management functions. Users can check cluster information, authorize cluster access, change the cluster's security mode, replace nodes, bind clusters with enterprise projects, switches AZs, and configure custom word dictionaries for OpenSearch clusters. They help users efficiently manage OpenSearch clusters and ensure cluster security, high availability, and optimized performance.

Managing OpenSearch Clusters

Managing cluster index policies

The Index State Management (ISM) plugin of OpenSearch can be used to create and manage index lifecycle policies. These policies help automate index rollovers and deletions, helping optimize cluster performance and cut storage costs.

Creating and Managing OpenSearch Index Policies

Monitoring and log management

CSS provides comprehensive monitoring and log management functions. Users can configure and check monitoring metrics for clusters and nodes, configure alarm rules, and back up and view logs. Intelligent O&M tools help users efficiently monitor, analyze, and maintain OpenSearch clusters and ensure cluster stability and performance.

Monitoring Metrics for OpenSearch Clusters in Cloud Eye

Using Cloud Eye to Monitor OpenSearch Clusters

Setting Alarm Alerting via SMN for an OpenSearch Cluster

Intelligent Risk Detection for OpenSearch Clusters

Querying and Managing OpenSearch Cluster Logs

Audit logs

Cloud Trace Service (CTS) can be used to log mission-critical operations related to OpenSearch clusters. Used for auditing and accountability purposes, these log records are retained for seven days on the management console.

Viewing OpenSearch Cluster Audit Logs

We use cookies to improve our site and your experience. By continuing to browse our site you accept our cookie policy. Find out more

Feedback

Feedback

Feedback

0/500

Selected Content

Submit selected content with the feedback