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.
Related
I am using AWS RDS(MySQL) and I would like to sync this data to AWS elasticsearch in real-time.
I am thinking that the best solution for this is AWS Glue but I am not sure about I could realize what I want.
This is information for my RDS database:
■ RDS
・I would like to sync several tables(MySQL) to opensearch(1 table to 1 index).
・The schema of tables will be changed dynamically.
・The new column will be added or The existing columns will be removed since previous sync.
(so I also have to sync this schema change)
Could you teach me roughly whether I could do these things by AWS Glue?
I wonder if AWS Glue can deal with dynamic schame change and syncing in (near) real-time.
Thank you in advance.
Glue Now have OpenSearch connector but Glue is like a ETL tool and does batch kind of operation very well but event based or very frequent load to elastic search might not be best fit ,and cost also can be high .
https://docs.aws.amazon.com/glue/latest/ug/tutorial-elastisearch-connector.html
DMS can help not completely as you have mentioned schema keeps changing .
Logstash Solution
Since Elasticsearch 1.5, Elasticsearch added jdbc input plugin in Logstash to sync MySQL data into Elasticsearch.
AWS Native solution
You can have a lambda function on MySQL event Invoking a Lambda function from an Amazon Aurora MySQL DB cluster
The lambda will write to Kinesis Firehouse in json and kinesis can load into OpenSearch .
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 hosting Elasticsearch cluster in EKS and I'd like to stream all cloudwatch groups to this Elasticsearch cluster via Kinesis Firehose. But AWS Kinesis firehose doesn't support stream data to Elasticsearch cluster other than AWS hosted ES.
What is the best way to stream data to self hosted ES cluster?
I think the best way is by means of a lambda function for Firehose. For this to work, you would have to choose supported destination, e.g. S3. The function normally is used to transform the records, but you can program what ever logic you want, including uploading records to a custom ES.
If you would use Python, the function could use elasticsearch layer to connect with your custom cluster and inject records into it. elasticsearch is python interface to ES and it will work with any ES cluster.
An alternative is to use HTTP Endpoint for Your Destination. In this scenario, you could have maybe small instance on ec2 container which would get the records from firehose, and then push them to ES. Just like before, elasticsearch library could be used with Python.
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)
We would like to stream data directly from EC2 web server to RedShift. Do I need to use Kinesis? What is the best practice? I do not plan to do any special analysis before the storage on this data. I would like a cost effective solution (it might be costly to use DynamoDB as a temporary storage before loading).
If cost is your primary concern than the exact number of records/second combined with the record sizes can be important.
If you are talking very low volume of messages a custom app running on a t2.micro instance to aggregate the data is about as cheap as you can go, but it won't scale. The bigger downside is that you are responsible for monitoring, maintaining, and managing that EC2 instance.
The modern approach would be to use a combination of Kinesis + Lambda + S3 + Redshift to have the data stream in requiring no EC2 instances to mange!
The approach is described in this blog post: A Zero-Administration Amazon Redshift Database Loader
What that blog post doesn't mention is now with API Gateway if you do need to do any type of custom authentication or data transformation you can do that without needing an EC2 instance by using Lambda to broker the data into Kinesis.
This would look like:
API Gateway -> Lambda -> Kinesis -> Lambda -> S3 -> Redshift
Redshift is best suited for batch loading using the COPY command. A typical pattern is to load data to either DynamoDB, S3, or Kinesis, then aggregate the events before using COPY to Redshift.
See also this useful SO Q&A.
I implemented a such system last year inside my company using Kinesis and Kinesis connector. Kinesis connector is just a standalone app released by AWS we are running in a bunch of ElasticBeanStalk servers as Kinesis consumers, then the connector will aggregate messages to S3 every a while or every amount of messages, then it will trigger the COPY command from Redshift to load data into Redshift periodically. Since it's running on EBS, you can tune the auto-scaling conditions to make sure the cluster grows and shrinks with the volume of data from Kinesis stream.
BTW, AWS just announced Kinesis Firehose yesterday. I haven't played it but it definitely looks like a managed version of the Kinesis connector.