Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China (PDF).

Ingesting data into Amazon OpenSearch Serverless collections

These sections provide details about the supported ingest pipelines for data ingestion into Amazon OpenSearch Serverless collections. They also cover some of the clients that you can use to interact with the OpenSearch API operations. Your clients should be compatible with OpenSearch 2.x in order to integrate with OpenSearch Serverless.

Minimum required permissions

In order to ingest data into an OpenSearch Serverless collection, the principal that is writing the data must have the following minimum permissions assigned in a data access policy:

[
   {
      "Rules":[
         {
            "ResourceType":"index",
            "Resource":[
               "index/target-collection/logs"
            ],
            "Permission":[
               "aoss:CreateIndex",
               "aoss:WriteDocument",
               "aoss:UpdateIndex"
            ]
         }
      ],
      "Principal":[
         "arn:aws:iam::123456789012:user/my-user"
      ]
   }
]

The permissions can be more broad if you plan to write to additional indexes. For example, rather than specifying a single target index, you can allow permission to all indexes (index/target-collection/*), or a subset of indexes (index/target-collection/logs*).

For a reference of all available OpenSearch API operations and their associated permissions, see Supported operations and plugins in Amazon OpenSearch Serverless.

OpenSearch Ingestion

Rather than using a third-party client to send data directly to an OpenSearch Serverless collection, you can use Amazon OpenSearch Ingestion. You configure your data producers to send data to OpenSearch Ingestion, and it automatically delivers the data to the collection that you specify. You can also configure OpenSearch Ingestion to transform your data before delivering it. For more information, see Amazon OpenSearch Ingestion.

An OpenSearch Ingestion pipeline needs permission to write to an OpenSearch Serverless collection that is configured as its sink. These permissions include the ability to describe the collection and send HTTP requests to it. For instructions to use OpenSearch Ingestion to add data to a collection, see Granting Amazon OpenSearch Ingestion pipelines access to collections.

To get started with OpenSearch Ingestion, see Tutorial: Ingesting data into a collection using Amazon OpenSearch Ingestion.

Fluent Bit

You can use Amazon for Fluent Bit image and the OpenSearch output plugin to ingest data into OpenSearch Serverless collections.

Example configuration:

This sample output section of the configuration file shows how to use an OpenSearch Serverless collection as a destination. The important addition is the AWS_Service_Name parameter, which is aoss. Host is the collection endpoint.

[OUTPUT]
    Name  opensearch
    Match *
    Host  collection-endpoint.us-west-2.aoss.amazonaws.com
    Port  443
    Index  my_index
    Trace_Error On
    Trace_Output On
    AWS_Auth On
    AWS_Region <region>
    AWS_Service_Name aoss
    tls     On
    Suppress_Type_Name On

Amazon Data Firehose

Firehose supports OpenSearch Serverless as a delivery destination. For instructions to send data into OpenSearch Serverless, see Creating a Kinesis Data Firehose Delivery Stream and Choose OpenSearch Serverless for Your Destination in the Amazon Data Firehose Developer Guide.

The IAM role that you provide to Firehose for delivery must be specified within a data access policy with the aoss:WriteDocument minimum permission for the target collection, and you must have a preexisting index to send data to. For more information, see Minimum required permissions.

Before you send data to OpenSearch Serverless, you might need to perform transforms on the data. To learn more about using Lambda functions to perform this task, see Amazon Kinesis Data Firehose Data Transformation in the same guide.

Fluentd

You can use the Fluentd OpenSearch plugin to collect data from your infrastructure, containers, and network devices and send them to OpenSearch Serverless collections. Calyptia maintains a distribution of Fluentd that contains all of the downstream dependencies of Ruby and SSL.

Go

The following sample code uses the opensearch-go client for Go to establish a secure connection to the specified OpenSearch Serverless collection and create a single index. You must provide values for region and host.

package main

import (
  "context"
  "log"
  "strings"
  "github.com/aws/aws-sdk-go-v2/aws"
  "github.com/aws/aws-sdk-go-v2/config"
  opensearch "github.com/opensearch-project/opensearch-go/v2"
  opensearchapi "github.com/opensearch-project/opensearch-go/v2/opensearchapi"
  requestsigner "github.com/opensearch-project/opensearch-go/v2/signer/awsv2"
)

const endpoint = "" // serverless collection endpoint

func main() {
	ctx := context.Background()

	awsCfg, err := config.LoadDefaultConfig(ctx,
		config.WithRegion("<AWS_REGION>"),
		config.WithCredentialsProvider(
			getCredentialProvider("<AWS_ACCESS_KEY>", "<AWS_SECRET_ACCESS_KEY>", "<AWS_SESSION_TOKEN>"),
		),
	)
	if err != nil {
		log.Fatal(err) // don't log.fatal in a production-ready app
	}

	// create an AWS request Signer and load AWS configuration using default config folder or env vars.
	signer, err := requestsigner.NewSignerWithService(awsCfg, "aoss") // "aoss" for Amazon OpenSearch Serverless
	if err != nil {
		log.Fatal(err) // don't log.fatal in a production-ready app
	}

	// create an opensearch client and use the request-signer
	client, err := opensearch.NewClient(opensearch.Config{
		Addresses: []string{endpoint},
		Signer:    signer,
	})
	if err != nil {
		log.Fatal("client creation err", err)
	}

	indexName := "go-test-index"

  // define index mapping
	mapping := strings.NewReader(`{
	 "settings": {
	   "index": {
	        "number_of_shards": 4
	        }
	      }
	 }`)

	// create an index
	createIndex := opensearchapi.IndicesCreateRequest{
		Index: indexName,
    Body: mapping,
	}
	createIndexResponse, err := createIndex.Do(context.Background(), client)
	if err != nil {
		log.Println("Error ", err.Error())
		log.Println("failed to create index ", err)
		log.Fatal("create response body read err", err)
	}
	log.Println(createIndexResponse)

	// delete the index
	deleteIndex := opensearchapi.IndicesDeleteRequest{
		Index: []string{indexName},
	}

	deleteIndexResponse, err := deleteIndex.Do(context.Background(), client)
	if err != nil {
		log.Println("failed to delete index ", err)
		log.Fatal("delete index response body read err", err)
	}
	log.Println("deleting index", deleteIndexResponse)
}

func getCredentialProvider(accessKey, secretAccessKey, token string) aws.CredentialsProviderFunc {
	return func(ctx context.Context) (aws.Credentials, error) {
		c := &aws.Credentials{
			AccessKeyID:     accessKey,
			SecretAccessKey: secretAccessKey,
			SessionToken:    token,
		}
		return *c, nil
	}
}

Java

The following sample code uses the opensearch-java client for Java to establish a secure connection to the specified OpenSearch Serverless collection and create a single index. You must provide values for region and host.

The important difference compared to OpenSearch Service domains is the service name (aoss instead of es).

// import OpenSearchClient to establish connection to OpenSearch Serverless collection
import org.opensearch.client.opensearch.OpenSearchClient;

SdkHttpClient httpClient = ApacheHttpClient.builder().build();

// create an opensearch client and use the request-signer
OpenSearchClient client = new OpenSearchClient(
    new AwsSdk2Transport(
        httpClient,
        "...us-west-2.aoss.amazonaws.com", // serverless collection endpoint
        "aoss" // signing service name
        Region.US_WEST_2, // signing service region
        AwsSdk2TransportOptions.builder().build()
    )
);

String index = "sample-index";

// create an index
CreateIndexRequest createIndexRequest = new CreateIndexRequest.Builder().index(index).build();
CreateIndexResponse createIndexResponse = client.indices().create(createIndexRequest);
System.out.println("Create index reponse: " + createIndexResponse);

// delete the index
DeleteIndexRequest deleteIndexRequest = new DeleteIndexRequest.Builder().index(index).build();
DeleteIndexResponse deleteIndexResponse = client.indices().delete(deleteIndexRequest);
System.out.println("Delete index reponse: " + deleteIndexResponse);

httpClient.close();   

JavaScript

The following sample code uses the opensearch-js client for JavaScript to establish a secure connection to the specified OpenSearch Serverless collection, create a single index, add a document, and delete the index. You must provide values for node and region.

The important difference compared to OpenSearch Service domains is the service name (aoss instead of es).

Version 3

This example uses version 3 of the SDK for JavaScript in Node.js.

const { defaultProvider } = require('@aws-sdk/credential-provider-node');
const { Client } = require('@opensearch-project/opensearch');
const { AwsSigv4Signer } = require('@opensearch-project/opensearch/aws');

async function main() {
    // create an opensearch client and use the request-signer
    const client = new Client({
        ...AwsSigv4Signer({
            region: 'us-west-2',
            service: 'aoss',
            getCredentials: () => {
                const credentialsProvider = defaultProvider();
                return credentialsProvider();
            },
        }),
        node: '' # // serverless collection endpoint
    });

    const index = 'movies';

    // create index if it doesn't already exist
    if (!(await client.indices.exists({ index })).body) {
        console.log((await client.indices.create({ index })).body);
    }

    // add a document to the index
    const document = { foo: 'bar' };
    const response = await client.index({
        id: '1',
        index: index,
        body: document,
    });
    console.log(response.body);

    // delete the index
    console.log((await client.indices.delete({ index })).body);
}

main();

Version 2

This example uses version 2 of the SDK for JavaScript in Node.js.

const AWS = require('aws-sdk');
const { Client } = require('@opensearch-project/opensearch');
const { AwsSigv4Signer } = require('@opensearch-project/opensearch/aws');

async function main() {
    // create an opensearch client and use the request-signer
    const client = new Client({
        ...AwsSigv4Signer({
            region: 'us-west-2',
            service: 'aoss',
            getCredentials: () =>
                new Promise((resolve, reject) => {
                    AWS.config.getCredentials((err, credentials) => {
                        if (err) {
                            reject(err);
                        } else {
                            resolve(credentials);
                        }
                    });
                }),
        }),
        node: '' # // serverless collection endpoint
    });

    const index = 'movies';

    // create index if it doesn't already exist
    if (!(await client.indices.exists({ index })).body) {
        console.log((await client.indices.create({
            index
        })).body);
    }

    // add a document to the index
    const document = {
        foo: 'bar'
    };
    const response = await client.index({
        id: '1',
        index: index,
        body: document,
    });
    console.log(response.body);

    // delete the index
    console.log((await client.indices.delete({ index })).body);
}

main();

Logstash

You can use the Logstash OpenSearch plugin to publish logs to OpenSearch Serverless collections.

Python

The following sample code uses the opensearch-py client for Python to establish a secure connection to the specified OpenSearch Serverless collection, create a single index, and search that index. You must provide values for region and host.

The important difference compared to OpenSearch Service domains is the service name (aoss instead of es).

from opensearchpy import OpenSearch, RequestsHttpConnection, AWSV4SignerAuth
import boto3

host = ''  # serverless collection endpoint, without https://
region = ''  # e.g. us-east-1

service = 'aoss'
credentials = boto3.Session().get_credentials()
auth = AWSV4SignerAuth(credentials, region, service)

# create an opensearch client and use the request-signer
client = OpenSearch(
    hosts=[{'host': host, 'port': 443}],
    http_auth=auth,
    use_ssl=True,
    verify_certs=True,
    connection_class=RequestsHttpConnection,
    pool_maxsize=20,
)

# create an index
index_name = 'books-index'
create_response = client.indices.create(
    index_name
)

print('\nCreating index:')
print(create_response)

# index a document
document = {
  'title': 'The Green Mile',
  'director': 'Stephen King',
  'year': '1996'
}

response = client.index(
    index = 'books-index',
    body = document,
    id = '1'
)


# delete the index
delete_response = client.indices.delete(
    index_name
)

print('\nDeleting index:')
print(delete_response)

Ruby

The opensearch-aws-sigv4 gem provides access to OpenSearch Serverless, along with OpenSearch Service, out of the box. It has all features of the opensearch-ruby client because it's a dependency of this gem.

When instantiating the Sigv4 signer, specify aoss as the service name:

require 'opensearch-aws-sigv4'
require 'aws-sigv4'

signer = Aws::Sigv4::Signer.new(service: 'aoss',
                                region: 'us-west-2',
                                access_key_id: 'key_id',
                                secret_access_key: 'secret')

# create an opensearch client and use the request-signer
client = OpenSearch::Aws::Sigv4Client.new(
  { host: 'https://your.amz-opensearch-serverless.endpoint',
    log: true },
  signer)

# create an index
index = 'prime'
client.indices.create(index: index)

# insert data
client.index(index: index, id: '1', body: { name: 'Amazon Echo', 
                                            msrp: '5999', 
                                            year: 2011 })

# query the index
client.search(body: { query: { match: { name: 'Echo' } } })

# delete index entry
client.delete(index: index, id: '1')

# delete the index
client.indices.delete(index: index)

Signing HTTP requests with other clients

The following requirements apply when signing requests to OpenSearch Serverless collections when you construct HTTP requests with another clients.

Indexing with cURL

The following example request uses the Client URL Request Library (cURL) to send a single document to an index named movies-index within a collection:

curl -XPOST \
    --user "$AWS_ACCESS_KEY_ID":"$AWS_SECRET_ACCESS_KEY" \
    --aws-sigv4 "aws:amz:us-east-1:aoss" \
    --header "x-amz-content-sha256: $REQUEST_PAYLOAD_SHA_HASH" \
    --header "x-amz-security-token: $AWS_SESSION_TOKEN" \
    "https://my-collection-endpoint.us-east-1.aoss.amazonaws.com/movies-index/_doc" \
    -H "Content-Type: application/json" -d '{"title": "Shawshank Redemption"}'

Indexing with Postman

The following image shows how to send a requests to a collection using Postman. For instructions to authenticate, see Authenticate with Amazon Signature authentication workflow in Postman.