Create the Lambda function

Follow the instructions in Create the Lambda deployment package, but create a directory named kinesis-to-opensearch and use the following code for sample.py:

import base64
import boto3
import json
import requests
from requests_aws4auth import AWS4Auth

region = '' # e.g. us-west-1
service = 'es'
credentials = boto3.Session().get_credentials()
awsauth = AWS4Auth(credentials.access_key, credentials.secret_key, region, service, session_token=credentials.token)

host = '' # the OpenSearch Service domain, e.g. https://search-mydomain.us-west-1.es.amazonaws.com
index = 'lambda-kine-index'
datatype = '_doc'
url = host + '/' + index + '/' + datatype + '/'

headers = { "Content-Type": "application/json" }

def handler(event, context):
    count = 0
    for record in event['Records']:
        id = record['eventID']
        timestamp = record['kinesis']['approximateArrivalTimestamp']

        # Kinesis data is base64-encoded, so decode here
        message = base64.b64decode(record['kinesis']['data'])

        # Create the JSON document
        document = { "id": id, "timestamp": timestamp, "message": message }
        # Index the document
        r = requests.put(url + id, auth=awsauth, json=document, headers=headers)
        count += 1
    return 'Processed ' + str(count) + ' items.'

Edit the variables for region and host.

Install pip if you haven't already, then use the following commands to install your dependencies:

cd kinesis-to-opensearch

pip install --target ./package requests
pip install --target ./package requests_aws4auth

Then follow the instructions in Create the Lambda function, but specify the IAM role from Prerequisites and the following settings for the trigger:

To learn more, see What is Amazon Kinesis Data Streams? in the Amazon Kinesis Data Streams Developer Guide.

At this point, you have a complete set of resources: a Kinesis data stream, a function that runs after the stream receives new data and indexes that data, and an OpenSearch Service domain for searching and visualization.