Published September 2022
In this post we round up the most searched for OpenSearch terms and definitions.
An OpenSearch node is a single OpenSearch process, and the minimum number of nodes for a highly available OpenSearch cluster is three.
An OpenSearch cluster is one or more OpenSearch nodes with the same cluster identification.
An OpenSearch index is a collection of documents in OpenSearch. Each index is split into shards.
OpenSearch shards enable parallelization of data processing across both a single and multiple OpenSearch nodes. By default, OpenSearch automatically manages shard allocation within the node(s).
OpenSearch replicas serve as a backup for shards and also aid in search performance by providing additional capacity. OpenSearch automatically creates five primary shards and one replica for every index. You can add or remove replicas at any time to scale out query processing.
The default OpenSearch port is 9200/tcp. The OpenSearch port can be modified in the configuration file, opensearch.yml.
OpenSearch queries are sub-divided into two categories: leaf queries and compound queries. OpenSearch leaf queries search for specific values within a field or field(s). OpenSearch compound queries combine multiple queries together.
OpenSearch pagination is the setting to return a maximum number of results. This number changes frequently. OpenSearch pagination can be changed by adding a size parameter to the search request.
Managed Opensearch provides 24/7 monitoring, support, and maintenance to maximize performance and uptime. Managed OpenSearch is typically provided by a team of engineers who have extensive experience with OpenSearch management. Learn more about Managed OpenSearch.
Hosted OpenSearch is a type of Managed OpenSearch where the service provider hosts their clients’ clusters in the service provider’s own environment. Hosted OpenSearch tends to increase latency and cost more than when OpenSearch is run in a client’s own environment. It also opens up the client to additional security risk.
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