The Marten library provides .NET developers with the ability to use the proven PostgreSQL database engine and its fantastic JSON support as a fully fledged document database. The Marten team believes that a document database has far reaching benefits for developer productivity over relational databases with or without an ORM tool.
Marten also provides .NET developers with an ACID-compliant event store with user-defined projections against event streams.
Access docs here and v3.x docs here.
Before getting started you will need the following in your environment:
1. .NET Core SDK 5.0+ and the .NET Core 3.1 Runtime
Available here
2. PostgreSQL 9.6 or above database with PLV8
The fastest possible way to develop with Marten is to run PostgreSQL in a Docker container. Assuming that you have
Docker running on your local box, type dotnet run --framework net6.0 -- init-db
at the command line to spin up a Postgresql database with
PLv8 enabled and configured in the database. The default Marten test configuration tries to find this database if no
PostgreSQL database connection string is explicitly configured following the steps below:
You need to enable the PLV8 extension inside of PostgreSQL for running JavaScript stored procedures for the nascent projection support.
Ensure the following:
- The login you are using to connect to your database is a member of the
postgres
role - An environment variable of
marten_testing_database
is set to the connection string for the database you want to use as a testbed. (See the Npgsql documentation for more information about PostgreSQL connection strings ).
Help with PSQL/PLV8
- On Windows, see this link for pre-built binaries of PLV8
- On *nix, check marten-local-db for a Docker based PostgreSQL instance including PLV8.
Once you have the codebase and the connection string file, run the build command or use the dotnet CLI to restore and build the solution.
You are now ready to contribute to Marten.
See more in Contribution Guidelines.
- Unit Tests rely on xUnit and Shouldly
- Bullseye is used for build automation.
- Node.js runs our Mocha specs.
- Storyteller for some of the data intensive automated tests
Description | Windows Commandline | PowerShell | Linux Shell | DotNet CLI |
---|---|---|---|---|
Run restore, build and test | build.cmd |
build.ps1 |
build.sh |
dotnet build src\Marten.sln |
Run all tests including mocha tests | build.cmd test |
build.ps1 test |
build.sh test |
dotnet run -p build/build.csproj -- test |
Run just mocha tests | build.cmd mocha |
build.ps1 mocha |
build.sh mocha |
dotnet run -p build/build.csproj -- mocha |
Run StoryTeller tests | build.cmd storyteller |
build.ps1 storyteller |
build.sh storyteller |
dotnet run -p build/build.csproj -- storyteller |
Open StoryTeller editor | build.cmd open_st |
build.ps1 open_st |
build.sh open_st |
dotnet run -p build/build.csproj -- open_st |
Run docs website locally | build.cmd docs |
build.ps1 docs |
build.sh docs |
dotnet run -p build/build.csproj -- docs |
Publish docs | build.cmd publish-docs |
build.ps1 publish-docs |
build.sh publish-docs |
dotnet run -p build/build.csproj -- publish-docs |
Run benchmarks | build.cmd benchmarks |
build.ps1 benchmarks |
build.sh benchmarks |
dotnet run -p build/build.csproj -- benchmarks |
Note: You should have a running Postgres instance while running unit tests or StoryTeller tests.
The tests for the main library are now broken into three testing projects:
CoreTests
-- basic services like retries, schema management basicsDocumentDbTests
-- anything specific to the document database features of MartenEventSourcingTests
-- anything specific to the event sourcing features of Marten
To aid in integration testing, Marten.Testing has a couple reusable base classes that can be use to make integration testing through Postgresql be more efficient and allow the xUnit.Net tests to run in parallel for better throughput.
IntegrationContext
-- if most of the tests will use an out of the box configuration (i.e., no fluent interface configuration of any document types), use this base type. Warning though, this context type will not clean out the mainpublic
database schema between runs, but will delete any existing dataDestructiveIntegrationContext
-- similar toIntegrationContext
, but will wipe out any and all Postgresql schema objects in thepublic
schema between tests. Use this sparingly please.OneOffConfigurationsContext
-- if a test suite will need to frequently re-configure theDocumentStore
, this context is appropriate. You do not need to decorate any of these test classes with the[Collection]
attribute. This fixture will use an isolated schema using the name of the test fixture type as the schema nameBugIntegrationContext
-- the test harnesses for bugs tend to require customDocumentStore
configuration, and this context is a specialization ofOneOffConfigurationsContext
for the bugs schema.StoreFixture
andStoreContext
are helpful if a series of tests use the same customDocumentStore
configuration. You'd need to write a subclass ofStoreFixture
, then useStoreContext<YourNewStoreFixture>
as the base class to share theDocumentStore
between test runs with xUnit.Net's shared context (IClassFixture<T>
)
Refer to the build commands section to look up the commands to run Mocha tests. There is also npm run tdd
to run the mocha specifications
in a watched mode with growl turned on.
Note: remember to run
npm install
Refer to build commands section to look up the commands to open the StoryTeller editor or run the StoryTeller specs.
All the documentation is written in Markdown and the docs are published as a static site hosted in Netlify. v4.x and v3.x use different documentation tools hence are detailed below in separate sub-sections.
VitePress is used as documentation tool. Along with this, MarkdownSnippets is used for adding code snippets to docs from source code and Algolia DocSearch is used for searching the docs via the search box.
The documentation content is the Markdown files in the /docs
directory directly under the project root. To run the docs locally use npm run docs
with auto-refresh on any changes.
To add code samples/snippets from the tests in docs, follow the steps below:
Use C# named regions to mark a code block as described in the sample below
#region sample_my_snippet
// code sample/snippet
// ...
#endregion
All code snippet identifier starts with sample_
as a convention to clearly identify that the region block corresponds to a sample code/snippet used in docs. Recommend to use snake case for the identifiers with words in lower case.
Use the below to include the code snippet in a docs page
<!-- snippet: sample_my_snippet --> <!-- endSnippet -->
Note that when you run the docs locally, the above placeholder block in the Markdown file will get updated inline with the actual code snippet from the source code. Please commit the changes with the auto-generated inline code snippet as-is after you preview the docs page. This helps with easier change tracking when you send PR's.
Few gotchas:
- Any changes to the code snippets will need to done in the source code. Do not edit/update any of the auto-generated inline code snippet directly in the Markdown files.
- The latest snippet are always pulled into the docs while we publish the docs. Hence do not worry about the inline code snippet in Markdown file getting out of sync with the snippet in source code.
stdocs is used as documentation tool. The documentation content is the markdown files in the /documentation
directory directly under the project root. Any updates to v3.x docs will need to done in 3.14 branch. To run the documentation website locally with auto-refresh, refer to the build commands section above.
If you wish to insert code samples/snippet to a documentation page from the tests, wrap the code you wish to insert with
// SAMPLE: name-of-sample
and // ENDSAMPLE
.
Then to insert that code to the documentation, add <[sample:name-of-sample]>
.
Note: content is published to the
gh-pages
branch of this repository. Refer to build commands section to lookup the command for publishing docs.
Copyright © Jeremy D. Miller, Babu Annamalai, Oskar Dudycz, Joona-Pekka Kokko and contributors.
Marten is provided as-is under the MIT license. For more information see LICENSE.
This project has adopted the code of conduct defined by the Contributor Covenant to clarify expected behavior in our community.