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Carabas: Kinesis, DynamoDB, DMS - CDC record processing in different flavours #120
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Kinesis / DynamoDB CDC: Basic record processors
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amotl
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This could also be interesting in this context.
Lambda Forge is a Python framework that simplifies AWS Lambda function creation and deployment. It automates serverless management, letting developers focus on coding.
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Kinesis / DynamoDB CDC: Basic record processors
Carabas: Kinesis, DynamoDB, DMS - CDC record processing in different flavours
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It needs further curation. The next iteration should aim towards slotting it in as a native streamz Source element.
- Software Tests - Configuration - Documentation - Cleanups - Fixes
- Batch Size: 2500 - Memory Size: 512 MB
The previous one didn't include support for DMS Serverless.
- Configure ReplicationType to use `full-load-and-cdc`. - Configure ReplicationSettings to use `EnableBeforeImage`. - Add RDSParameterGroup to configure pgaudit, pglogical, and pg_stat_statements plugins. - Configure DMS source endpoint (PostgreSQL) to use pglogical. - Configure DMS target endpoint (Kinesis) to include all optional details: ControlDetails, PartitionValue, TransactionDetails, NullAndEmpty, TableAlterOperations, IncludeSchemaTable - Add `RDSInstanceArn` output variable. - Add `ReplicationArn` output variable.
Dependency woes about `requests`, `docker`, and `pytest-asyncio-cooperative`?
Because synchronous and asynchronous tests are mixed, and maybe because of woes with pytest fixtures, the test suite must turn off concurrency.
- Use a real DMS replication instance - Streamline configuration of DMS replication task - Improve processor Lambda
- Provide new IaC entrypoint options `batch_size`, `starting_position`, and `starting_position_timestamp`. - Add software integration test case for Kinesis/DMS/CrateDB.
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About
Optionally pull in infrastructure managed by others.
Status
This is a work in progress.
What's Inside
About configuration and usage.
DynamoDB CDC to CrateDB using DynamoDB Streams Kinesis Adapter/cc @hammerhead, @hlcianfagna, @wierdvanderhaar, @surister