OpenSearch Demo

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Create an OpenSearch domain

1. Enter a domain name (e.g., demo).
2. Choose a creation path:
   • Easy create — fast, with defaults.
   • Standard create — full configuration control (used here).
3. Select a template:
   • Production — resilient defaults for production.
   • Dev/Test — lighter-weight defaults for development (choose this for the demo).
4. Enable standby nodes only for production-level high availability; skip for the demo.
5. Choose the number of Availability Zones — single AZ is OK for development; multi-AZ recommended for production resiliency.

• Engine version: pick a supported version (e.g., OpenSearch 2.9).
• Data nodes: choose an instance class (for demo: t3.small.search) and nodes per AZ (e.g., 1).
• Storage: EBS volumes — choose type and size (demo uses 10 GiB).
• Dedicated master nodes: enable for medium/large clusters; disable for small demos.
• Networking: public access for rapid testing, or VPC access for production.
• Access control: use IAM-based access or create a master user (for this demo we create a master user admin with a secure password).

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OpenSearch cluster ready

• Domain endpoint (use for API requests).
• OpenSearch Dashboards URL (web UI for exploration).
• Cluster configuration summary.

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Add sample data using OpenSearch Dashboards

• In Dashboards, click Add data and choose a dataset (e.g., e-commerce orders).
• Install the dataset, then click View data to inspect dashboards, visualizations, and underlying indices.

• Go to Management → Index Management → Indices.
• Select the sample index (e.g., opensearch_dashboards_sample_data_ecommerce).
• View Mappings to see field names and types.

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Index your own documents with curl

curl -XPUT -u 'admin:Password123!' 'https://domain-endpoint/movies/_doc/1' \
  -H 'Content-Type: application/json' \
  -d '{"director":"Burton, Tim","genre":["Comedy","Sci-Fi"],"year":1996,"actor":["Jack Nicholson","Pierce Brosnan","Sarah Jessica Parker"],"title":"Mars Attacks!"}'

{
  "_index": "movies",
  "_id": "1",
  "_version": 1,
  "result": "created",
  "_shards": { "total": 2, "successful": 1, "failed": 0 }
}

curl -XPUT -u 'admin:Password123!' 'https://search-demo-kt2xqr2r2ryoeyqvf7hqjzna2m.us-east-1.es.amazonaws.com/movies/_doc/1' \
  -H 'Content-Type: application/json' \
  -d '{"director":"Burton, Tim","genre":["Comedy","Sci-Fi"],"year":1996,"actor":["Jack Nicholson","Pierce Brosnan","Sarah Jessica Parker"],"title":"Mars Attacks!"}'

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Bulk upload multiple documents

{ "index" : { "_index": "movies", "_id" : "2" } }
{"director":"Frankenheimer, John","genre":["Drama","Mystery","Thriller","Crime"],"year":1962,"actor":["Lansbury, Angela","Sinatra, Frank"]}
{ "index" : { "_index": "movies", "_id" : "3" } }
{"director":"Baird, Stuart","genre":["Action","Crime","Thriller"],"year":1998,"actor":["Downey Jr., Robert","Jones, Tommy Lee","Sr."]}
{ "index" : { "_index": "movies", "_id" : "4" } }
{"director":"Ray, Nicholas","genre":["Drama","Romance"],"year":1955,"actor":["Hopper, Dennis","Wood, Natalie","Dean, James","Mineo, Sal"],"title":"Rebel Without a Cause"}

curl -XPOST -u 'admin:Password123!' 'https://domain-endpoint/_bulk' \
  --data-binary @bulk_movies.json \
  -H 'Content-Type: application/json'

{
  "took": 61,
  "errors": false,
  "items": [
    {"index": {"_index":"movies","_id":"2","_version":1,"result":"created","status":201}},
    {"index": {"_index":"movies","_id":"3","_version":1,"result":"created","status":201}},
    {"index": {"_index":"movies","_id":"4","_version":1,"result":"created","status":201}}
  ]
}

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Create an index pattern and search in Dashboards

• In Dashboards → Management → Index Patterns, create a pattern for movies.
• In Discover, choose the movies index pattern and run searches or filters.
• Example search: look for documents where actor is Downey Jr., Robert.

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Clean up

• Open the OpenSearch Domains page in the AWS console.
• Select your domain and click Delete. Confirm to remove the domain and all data.