I am using "serverless" framework (AWS lambda functions and RDS database). When inserting data to RDS database, I also want to insert it into Algolia database (to sync the two databases), is it possible to call a lambda function when a record is inserted into RDS? (maybe event subscription?)
This only supported for AWS RDS aurora databases.
lets read this article.
Related
I want to get a notification when a new Database gets created on AWS Aurora by another application.
But all notifications are on the Cluster or instance level.
any help would be appreciated.
Currently there is no metric like "number of databases" available, but for security reason, it is also not best practice for AWS, because getting the number of databases means, you have to provide AWS your database credentials.
What I would prefer (without any large costs) is to write a simple AWS Lambda, which queries all x minutes your database and write the number of available databases into Cloudwatch Metric. As soon as the number of databases is changing, you can trigger a SNS based on that metric.
Possible setup:
Create AWS Lambda
Provide your credentials for the Aurora Cluster as environment variables
Lambda connects during initalizing to the database
query the number of databases
run put_metric to store this number to Cloudwatch Metrics
attach a SNS to the Cloudwatch Metric which will send a notification on every change.
I am new to AWS and trying to find a way to load the data from S3 to RDS . In my current approach I am using EC2 instance to do that (where my app is running). I was thinking of doing through lambda but my data will have around (22 million records) and my current approach is taking 4hr. And lambda timeout is 15mins (So lambda approach does not work in this case).
The problem with my current approach is This data files comes may be like ones in a month and I don't want to have a EC2 running just of this task. Any alternatives in server-less world would be helpful.Thank You
Note: The data is loaded from S3 to RDS based on SQS, i,e my application is pulling the messages from SQS which will then load the data into RDS
Please try DMS for this. You need to create DMS agent with S3 bucket info as source and target details of your RDS.
I want to create an trigger which invoke the lambda function when there in any event(Insert, Update etc) in the RDS database table like in dynamoDB(For any database engine).
And also want to create this Lambda dynamically in Node js.
Thanks in advance.
This is only supported only with AWS RDS Aurora Database. Check the article Capturing Data Changes in Amazon Aurora Using AWS Lambda in AWS Database blog for an example use case.
You can Dynamically Create the Lambda function and Update the Aurora Stored Procedure with a Query to trigger the created Lambda function.
How do I integrate AWS RDS with the AWS Elasticsearch service? Is there any AWS service so that I can use it to stream data from AWS RDS to AWS Elasticsearch for Indexing?
I'm not seeing a magic way like this for DynamoDB.
I can think of three ways.
set up your RDS to log all transactions, and set up a logstash to parse any inserts and updates and insert to ES.
Create a special log file, that your app uses to store the inserts and updates. Less work to set up logstash this way.
Make your app send all inserts and updates through SNS. From there, distribute them to a ES SQS queue and a RDS SQS queue, and have workers (or lambdas) for each queue to do the inserts to their respective stores.
How do I create an AWS Lambda that triggers when a record is inserted into a table of an Aurora DB instance?
I do not know how to associate the Lambda to it.
When I searched on the net, the Lambda mostly triggered to a S3 or a DynamoDB events etc.
The stored procedures that you create within your Amazon Aurora databases can now invoke AWS Lambda functions.
This is a brand new feature... http://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Aurora.Lambda.html
As you said, DynamoDB, S3, and other services can be natively integrated with Lambda but there is no native Aurora integration.
You could write to a Kinesis stream from your application whenever you insert something into your database but you will have problems with the order of the events because Kinesis does not participate in the database transaction.
You could also send all write request to Kinesis and insert them into your Aurora database from a Lambda function to get rid of the ordering issue. But you will need an Event Sourcing / CQRS approach to model your data.
Here's the list of supported event sources. If you want to keep it simple, invoke the Lambda function from the application that inserts data into Aurora, but only after the database transaction is successfully committed. There's likely an AWS SDK for whatever language your application is written in. For example, here's docs on the Lambda API for Javascript.
It is possible now even with Aurora (PostreSQL) as per latest updates from December 2020
Guide is available here - https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/PostgreSQL-Lambda.html
Amazon Aurora (PostgreSQL) trigger to lambda -
https://aws.amazon.com/about-aws/whats-new/2020/12/amazon-aurora-postgresql-integrates-with-aws-lambda/ (11.December.2020)
Amazon RDS (PostgreSQL) trigger to lambda - https://aws.amazon.com/about-aws/whats-new/2021/04/amazon-rds-postgresql-integrates-aws-lambda/ (14.April.2021)