RisingWave Demos

Here is a gallery of demos that present how to use RisingWave alongwith the ecosystem tools.

• ad-click/: Build and Maintain Real-time Applications Faster and Easier with Redpanda and RisingWave
• ad-ctr: Perform real-time ad performance analysis
• cdn-metrics: Server performance anomaly detection
• clickstream: Clickstream analysis
• twitter: Fast Twitter events processing
• twitter-pulsar: Tutorial: Pulsar + RisingWave for Fast Twitter Event Processing
• live-stream: Live stream metrics analysis

Demo Runnability Testing

The demos listed above will all run through a series of tests when each PR is merged, including:

• Run the queries mentioned in the demos.
• Ingest the data in various formats, including Protobuf, Avro, and JSON. Each format will be tested individually.
• For each demo test, we check if the sources and MVs have successfully ingested data, meaning that they should have >0 records.

Workload Generator

The workloads presented in the demos are produced by a golang program in /datagen. You can get this tool in multiple ways:

• Download pre-built binaries from Releases
• Pull the latest docker image via docker pull ghcr.io/risingwavelabs/demo-datagen:v1.0.9.
• Build the binary from source:

  cd datagen && go build

To use this tool, you can run the following command:

./datagen --mode clickstream --qps 10 kafka --brokers 127.0.0.1:57801

or

./datagen --mode ecommerce --qps 10000000 postgres --port 6875 --user materialize --db materialize

• --mode clickstream indicates that it will produce random clickstream data.
• --qps 10 sets a QPS limit to 10.
• kafka | postgres chooses the destination. For kafka, you will need to specify the brokers.