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___| |_ _ _ ___ __ _ _ __
(_-<| _|| '_|/ -_)/ _` || ' \
/__/ \__||_| \___|\__,_||_|_|_|
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___ | | __ _ ___| |_ (_) __ ___ ___ __ _ _ _ __ | |_
/ -_)| |/ _` |(_-<| _|| |/ _|(_-</ -_)/ _` || '_|/ _|| ' \
\___||_|\__,_|/__/ \__||_|\__|/__/\___|\__,_||_| \__||_||_|
The missing blueprint for AWS Lambda, which reads stream from AWS DynamoDB and writes it to ElasticSearch. Compatible with node 8.10. (If for some reason you want to use it with node 6.10, then use 1.0.0 of this module)
Whenever data is changed (modified, removed or inserted) in DynamoDB one can use AWS Lambda function to capture this change and update ElasticSearch machine immediately. Further reading:
Indexing Amazon DynamoDB Content with Amazon Elasticsearch Service Using AWS Lambda
Install:
npm i dynamodb-stream-elasticsearch
Use it in your lambda:
const { pushStream } = require('dynamodb-stream-elasticsearch');
const { ES_ENDPOINT, INDEX, TYPE } = process.env;
function myHandler(event, context, callback) {
console.log('Received event:', JSON.stringify(event, null, 2));
pushStream({ event, index: INDEX, type: TYPE, endpoint: ES_ENDPOINT })
.then(() => {
callback(null, `Successfully processed ${event.Records.length} records.`);
})
.catch((e) => {
callback(`Error ${e}`, null);
});
}
exports.handler = myHandler;
Upload Lambda to AWS and star this repository if it works as expected!!
Param | Description |
---|---|
event | Event object generated by the stream (pass it as it is) |
index | The name of ElasticSearch index |
type | The type of the ElasticSearch document |
endpoint | Exact url of ElasticSearch instance (it works with AWS ES and standard ES) |
To run tests locally you need to have ElasticSearch docker container. Simply type:
docker run -i -p 9200:9200 --name my_elastic -p 9300:9300 -e "discovery.type=single-node" elasticsearch
If you want to commit changes, make sure if follow these rules:
- All code changes should go with a proper integration test;
- Code should follow Javascript Standard Guideline;
- Commit messages should be set according to this article.
- Introduce Continuous Integration;
- Add elastic search bulk operation instead of index for multiple records;
This project is licensed under the MIT License - see the LICENSE.md file for details