This repository contains examples of use cases that utilize Decodable streaming solution as well as demos for related open-source projects such as Apache Flink, Debezium, and Postgres.
Examples are presented "as-is" and are maintained on a best effort basis. PRs for updating existing (or adding new) examples are welcome!
For help with any of the examples, or using Decodable in general, please join our Slack group.
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| Example | Description |
|---|---|
| Change Streams | Using change streams to build materialized views in Postgres |
| XML Processing | Parse XML and transform to JSON |
| Masking | Ways to mask data |
| Array Aggregation (1) | Demonstrating how to aggregate the elements of the many side of 1:n join into an array with data from Postgres |
| Array Aggregation (2) | Using the array_agg() UDF for denormalizing data in a pipeline from MySQL to OpenSearch |
| Example | Description |
|---|---|
| Opinionated Data Pipelines | Building data pipelines with schema on write streams. |
| Postman | Building data pipelines with Postman. |
Decodable provides a managed PyFlink service. Learn more here.
| Example | Description |
|---|---|
| PyFlink | Running a basic PyFlink job on Kubernetes |
| PyFlink on Decodable | Running a PyFlink job as a Custom Pipeline on Decodable |
| PyFlink and MongoDB Vector Search | End-to-end example for PyFlink Vector Ingestion on Decodable with MongoDB Vector Search |
| Example | Description |
|---|---|
| Apache Druid | Sending COVID-19 data to Decodable using its REST API, cleaning it with SQL, and then sending it to Apache Druid |
| Apache Kafka / Flink / Iceberg | Integrating Apache Kafka with Apache Iceberg through Apache Flink. As presented at Kafka Summit London 2024 |
| Apache Kafka / Flink / Iceberg (with Decodable) | Streaming from Apache Kafka to Apache Iceberg with Decodable |
| Apache Kafka Upsert connector | Explaining the difference between the Flink Kafka and Kafka Upsert connectors |
| Apache Kafka mTLS | Installing Apache Kafka on EC2 and configuring it with mTLS |
| Apache Kafka with ngrok | Using Docker Compose for running Apache Kafka locally, accessible from the internet using ngrok |
| Apache Kafka | Installing Apache Kafka on EC2 and writing to S3 with Decodable |
| Apache Pinot | Transforming osquery logs to Apache Pinot and Superset |
| AsyncAPI | Publishing Data Products with AsyncAPI |
| Confluent | Clickstream from Confluent Cloud joined with CDC user data from Postgres |
| Delta Lake / Flink | Writing to Delta Lake with Apache Flink |
| GitHub Webhooks | Processing GitHub Webhook events using the Decodable REST source connector |
| OSQuery Routing | Routing OSQuery logs with SQL |
| Redpanda | Reading and writing data to Redpanda from Flink |
| S3 Events in a Lambda Function | Configuring an S3 bucket with a Lambda notification to send data to Kinesis to be processed in Decodable |
| Tinybird | Writing data to Tinybird from Decodable |
| Example | Description |
|---|---|
| MSSQL CDC | Enabling MSSQL in Docker with CDC, reading from it with Debezium, writing change events into AWS Kinesis |
| Oracle CDC | Configuring Oracle AWS RDS with LogMiner, reading from it with Debezium, writing change events into AWS Kinesis |
| DynamoDb CDC | Configure DynamoDB to send change data to Kinesis, reading changes into Decodable for transformation or replication. |
| Logical Decoding Message Examples | How to retrieve logical decoding messages from the Postgres WAL |
| Example | Description |
|---|---|
| Flink SQL Troubleshooting | A set of Docker Compose environments for demonstrating various Flink SQL troubleshooting scenarios (see related blog) |
| Example | Description |
|---|---|
| Decodable CI/CD | An example of using Decodable with GitHub Actions |
| Decodable CLI Docker image | An example Dockerfile for running the Decodable CLI under Docker. |
This code base is available under the Apache License, version 2.