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Scaling Booster Azure Functions

Booster Azure Provider relies on CosmosDB change feed processor to consume new events. In CosmosDB, the partition keys are distributed in ranges, where each range represents a physical partition. Unlike logical partitions, physical partitions are an internal implementation of the system and Azure Cosmos DB entirely manages physical partitions

With Booster EventStream functionality, we could define the number of physical partitions our events are split and create instances for each partition.

To enable EventStream, set the EventStreamConfiguration in the configuration object:

warning

Currently, only available for Azure provider.

  config.eventStreamConfiguration = {
    enabled: true,
    parameters: {
      streamTopic: 'test',
      partitionCount: 3,
      messageRetention: 1,
      maxRetries: 5,
      mode: 'exponential'
    },
  }

Parameters​

  • StreamTopic: Define the internal topic name Booster will use.
  • PartitionCount: Number of Event Hub partitions. The number of functions app consumer instances will match the partition count
  • MessageRetention: Specifies the number of days to retain the events for this Event Hub
  • MaxRetries: Number of retries to consume an event
  • Mode: Retry mode. It could be fixed or exponential

Note: maxRetries and mode are configured at Function level

Infrastructure​

Enabling EventStreamConfiguration will apply some changes to the infrastructure:

  • Two functions will be created
    • One function with a CosmosDB consumer that will produce Event Hubs events. Also, it will include the readModels functions, schedule functions app, etc...
    • One function with an Event Hub consumer function app. This function will allow you to define the number of instances to be created
  • A new container to handle duplicated consumed events
  • A new Event Hub will be added for event handling.

Recommendations​

From the Azure documentation:

Dynamically adding partitions isn't recommended. While the existing data preserves ordering, partition hashing will be broken for messages hashed after the partition count changes due to addition of partitions.