Steps:

Create a namespace with bugfest dataset

For successful indexation on extensive datasets (such as bugfest). It would help if you had an environment (namespace) with next resources:

• DB: RDS
• Kafka: Shared (AWS MSK). But also possible built-in with at least 50Gb of disk space
• OpenSearch: Shared (AWS OpenSearch)

So with Project job provision a namespace with restore from RDS snapshot.

Upgrade the environment to the latest version. (If needed)

Check Kafka topics

Before starting of indexation ensure that topics for modules responsible for indexation have 50 partitions.

You could check this information with Kafka UI

Topics:

• inventory.instance
• search.instance-contributor
• search.instance-subject

Pic. 1 Example "Kafka UI topics & partitions"

Scale-up OpenSearch

As indexation is a heavy process that has a high CPU and memory resources consumptions, it is required (and strongly recommended) to scale up the shared OpenSearch AWS service.

r6g.xlarge → r6g.2xlarge

Scale-up backend modules

For better performance, please scale up backend modules.

You could perform this operation via Rancher in the Deployment section

Modules: 

• mod-search (1 → 4)
• mod-inventory-storage (1 → 2)

Pic. 2 Example "Backend module scale up"

Start index

After completion of all pre required steps, trigger index with POST Postman request.

URI: /search/index/inventory/reindex

Headers: X-Okapi-Tenant & X-Okapi-Token

Body: 

{
  "recreateIndex": true,
  "resourceName": "authority"
}

Adjust indices settings

Wait for complete

Scale-down backend modules

Scale-down OpenSearch