Search and aggregations made easy with OpenSearch and NodeJS

Go beyond simple keyword search. Learn to build powerful data aggregations and visualizations in your NodeJS app with OpenSearch.

#1about 4 minutes

Understanding OpenSearch core concepts and architecture

OpenSearch analyzes and stores data in a distributed architecture of shards, replicas, and nodes, accessible via a REST API or language-specific clients.

#2about 5 minutes

Setting up the NodeJS project and OpenSearch cluster

To get started, clone the example repository, set up a managed OpenSearch cluster, and configure the NodeJS client with your service URI.

#3about 3 minutes

Bulk indexing data and inspecting the schema

Use the bulk endpoint in the NodeJS client to efficiently index large datasets, allowing OpenSearch to automatically infer the data schema or mapping.

#4about 6 minutes

Executing different types of search queries

Learn to use various query types like match, match_phrase with slop, term, and boolean queries to perform full-text and structured searches.

#5about 3 minutes

Analyzing data with metric and bucket aggregations

Go beyond search by using aggregations to calculate metrics like averages or to group data into buckets with histograms for powerful analysis.

#6about 4 minutes

Visualizing data with OpenSearch Dashboards

Use OpenSearch Dashboards to create visualizations like bar charts and tag clouds, explore raw data in the Discover panel, and run queries in Dev Tools.

#7about 4 minutes

Q&A on indexing, aggregations, and OpenSearch vs Elasticsearch

The session concludes with answers to audience questions about indexing different data types, the benefits of OpenSearch over Elasticsearch, and aggregation limits.