Streamstone
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Event store for Azure Table Storage
Streamstone is a tiny embeddable library targeted at building scalable event-sourced applications on top of Azure Table Storage. It has simple, functional style API, heavily inspired by Greg Young's Event Store.
Terms of use
By using this project or its source code, for any purpose and in any shape or form, you grant your implicit agreement to all the following statements:
- You condemn Russia and its military aggression against Ukraine
- You recognize that Russia is an occupant that unlawfully invaded a sovereign state
- You support Ukraine's territorial integrity, including its claims over temporarily occupied territories of Crimea and Donbas
- You reject false narratives perpetuated by Russian state propaganda
To learn more about the war and how you can help, click here. Glory to Ukraine! πΊπ¦
Features
- Fully ACID compliant
- Optimistic concurrency support
- Duplicate event detection (based on identity)
- Automatic continuation for both writes and reads (over WATS limits)
- Custom stream and event properties you can query on
- Synchronous (inline) projections and snapshots
- Change tracking support for inline projections
- Friendly for multi-tenant designs
- Sharding support (jump consistent hashing)
- Compatible with .NET Standard 2.0 and .NET Framework 4.6
Installing from NuGet 
To install Streamstone via NuGet, run this command in NuGet package manager console:
PM> Install-Package Streamstone
Building from source 
To build Streamstone binaries on Windows you will need to have Visual Studio 17 Update 3 or higher and .NET Core SDK 2.0 or higher. To build binaries on Linux use dotnet cli tooling (ie dotnet build
).
Running unit tests
Unit tests require Azure Storage Emulator 5.2 or higher, which is currently available only on Windows. Alternatively, you could run against real Azure by setting storage account connection string to Streamstone-Test-Storage user-level environment variable.
Design
Streamstone is just a thin layer (library, not a server) on top of Windows Azure Table Storage. It implements low-level mechanics for dealing with event streams, and all heavy-weight lifting is done by underlying provider.
The api is stateless and all exposed objects are immutable, once fully constructed. Streamstone doesn't dictate payload serialization protocol, so you are free to choose any protocol you want.
Optimistic concurrency is implemented by always including stream header entity with every write, making it impossible to append to a stream without first having a latest Etag. Duplicate event detection is done by automatically creating additional entity for every event, with RowKey value set to a unique identifier of a source event (consistent secondary index).
Schema
Usage
Essentials
- Provisioning stream [see]
- Opening stream [see]
- Writing to stream [see]
- Reading from stream [see]
- Additional entity includes [see]
- Optimistic concurrency [see]
- Handling duplicate events [see]
- Custom stream metadata [see]
- Virtual partitions [see]
Application
- Implementing stream directory [see]
- Using snapshots [see]
- Creating projections [see]
- Querying events [see]
Demo
- Classic Greg Young's CQRS demo using Streamstone [repo]
- Using Streamstone in stateful applications. Event-sourced actors for Project Orleans [see]
Limitations
While Streamstone allows you to pass any number of events to Stream.Write
, the max batch size limit imposed by Azure Table Storage is 100 entities, therefore:
- The batch will be automatically flushed for every 99 events (100 - 1 header entity)
- The batch will be automatically flushed for every 49 events with id being set (100/2 - 1 header entity)
- You will get back
InvalidOperationException
when trying to write an event which together with its includes is over max batch size limit - The actual size in bytes of event payload is not taken into account, so all limitations outlined below still apply
Other limitations of the underlying Azure Table Storage API:
- Maximum size of batch is 4MB
- Maximum size of entity is 1 MB
- Maximum size of property is 64Kb
- Maximum length of property name is 255 chars
- An entity can have up to 255 custom properties
Community
License
MIT License