Minimum required permissions OpenSearch Ingestion Fluent Bit Amazon Kinesis Data Firehose Fluentd Go Java JavaScript Logstash Python Ruby Signing HTTP requests with other clients

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.

First, create an IAM role that has the aoss:BatchGetCollection and aoss:APIAccessAll permissions against all resources (*). Then, include this role in a data access policy and provide it permissions to create indexes, update indexes, describe indexes, and write documents within the collection. Finally, specify the role ARN as the value of the sts_role_arn option within the pipeline configuration.

For instructions to complete each of these steps, see Allowing Amazon OpenSearch Ingestion pipelines to write to collections.

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

Fluent Bit

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

Note

You must have version 2.30.0 or later of the AWS for Fluent Bit image in order to integrate with OpenSearch Serverless.

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 Kinesis Data Firehose

Kinesis Data 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 Kinesis Data Firehose Developer Guide.

The IAM role that you provide to Kinesis Data 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.

To use Fluentd to send data to OpenSearch Serverless

Download version 1.4.2 or later of Calyptia Fluentd from https://www.fluentd.org/download. This version includes the OpenSearch plugin by default, which supports OpenSearch Serverless.
Install the package. Follow the instructions in the Fluentd documentation based on your operating system:
- MacOSX
Add a configuration that sends data to OpenSearch Serverless. This sample configuration sends the message "test" to a single collection. Make sure to do the following:
- For host, specify the endpoint of your OpenSearch Serverless collection.
- For aws_service_name, specify aoss.
```
<source>
@type sample
tag test
test {"hello":"world"}
</source>

<match test>
@type opensearch
host https://collection-endpoint.us-east-1.aoss.amazonaws.com
port 443
index_name fluentd
aws_service_name aoss
</match>
```
Run Calyptia Fluentd to start sending data to the collection. For example, on Mac you can run the following command:
```
sudo launchctl load /Library/LaunchDaemons/calyptia-fluentd.plist
```

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).


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

// create an opensearch client and use the request-signer
OpenSearchClient client = new OpenSearchClient(
    new AwsSdk2Transport(
        httpClient,
        "search-...us-west-2.es.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 DeleteRequest.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.

To use Logstash to send data to OpenSearch Serverless

Install version 2.0.0 or later of the logstash-output-opensearch plugin using Docker or Linux.
Docker
Docker hosts the Logstash OSS software with the OpenSearch output plugin preinstalled: opensearchproject/logstash-oss-with-opensearch-output-plugin. You can pull the image just like any other image:
```
docker pull opensearchproject/logstash-oss-with-opensearch-output-plugin:latest
```
Linux
First, install the latest version of Logstash if you haven't already. Then, install version 2.0.0 of the output plugin:
```
cd logstash-8.5.0/
bin/logstash-plugin install --version 2.0.0 logstash-output-opensearch 
```
If the plugin is already installed, update it to the latest version:
```
bin/logstash-plugin update logstash-output-opensearch 
```
Starting with version 2.0.0 of the plugin, the AWS SDK uses version 3. If you're using a Logstash version earlier than 8.4.0, you must remove any pre-installed AWS plugins and install the logstash-integration-aws plugin:
```
/usr/share/logstash/bin/logstash-plugin remove logstash-input-s3
/usr/share/logstash/bin/logstash-plugin remove logstash-input-sqs
/usr/share/logstash/bin/logstash-plugin remove logstash-output-s3
/usr/share/logstash/bin/logstash-plugin remove logstash-output-sns
/usr/share/logstash/bin/logstash-plugin remove logstash-output-sqs
/usr/share/logstash/bin/logstash-plugin remove logstash-output-cloudwatch

/usr/share/logstash/bin/logstash-plugin install --version 0.1.0.pre logstash-integration-aws
```

In order for the OpenSearch output plugin to work with OpenSearch Serverless, you must make the following modifications to the opensearch output section of logstash.conf:

Specify aoss as the service_name under auth_type.
Specify your collection endpoint for hosts.
Add the parameters default_server_major_version and legacy_template. These parameters are required for the plugin to work with OpenSearch Serverless.


output {
  opensearch {
    hosts => "collection-endpoint:443"
    auth_type => {
      ...
      service_name => 'aoss'
    }
    default_server_major_version => 2
    legacy_template => false
  }
}

This example configuration file takes its input from files in an S3 bucket and sends them to an OpenSearch Serverless collection:


input {
  s3  {
    bucket => "my-s3-bucket"
    region => "us-east-1"
  }
}

output {
  opensearch {
    ecs_compatibility => disabled
    hosts => "https://my-collection-endpoint.us-east-1.aoss.amazonaws.com:443"
    index => my-index
    auth_type => {
      type => 'aws_iam'
      aws_access_key_id => 'your-access-key'
      aws_secret_access_key => 'your-secret-key'
      region => 'us-east-1'
      service_name => 'aoss'
    }
    default_server_major_version => 2
    legacy_template => false
  }
}

Then, run Logstash with the new configuration to test the plugin:
```
bin/logstash -f config/test-plugin.conf
```

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 = "python-test-index"
create_response = client.indices.create(
    index_name
)
print('\nCreating index:')
print(create_response)

# 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.

You must specify the service name as aoss.
The x-amz-content-sha256 header is required for all AWS Signature Version 4 requests. It provides a hash of the request payload. If there's a request payload, set the value to its Secure Hash Algorithm (SHA) cryptographic hash (SHA256). If there's no request payload, set the value to e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855, which is the hash of an empty string.

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Document Conventions

Managing capacity limits

Security in OpenSearch Serverless