An Ecto adapter for Mnesia, enabling Elixir applications to use the Erlang term database with Ecto's query and repository API.
Ecto Mnesia is an adapter that allows Elixir applications to use Mnesia, Erlang's built-in term storage database, through the Ecto database wrapper and query interface. It solves the problem of integrating Mnesia's low-latency, in-memory capabilities with Ecto's standardized API, enabling developers to build applications that require fast data access without being locked into a specific database backend.
Elixir developers working on projects that need low read-latency, RAM-resident data storage, such as fintech applications or real-time systems, and who want to maintain database flexibility using Ecto.
Developers choose Ecto Mnesia because it provides a seamless way to use Mnesia's performance benefits within the familiar Ecto ecosystem, offering transaction support and migration tools while allowing easy future switches to other databases like PostgreSQL.
Ecto adapter for Mnesia Erlang term database.
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Functions as a drop-in replacement for other Ecto adapters, supporting the standard Repo API as stated in the README under 'Compatible Ecto.Repo API.'
Automatically converts Ecto queries into Erlang match specifications, optimizing performance for Mnesia's execution model without manual intervention.
Supports database transactions and schema migrations via Ecto.Migrations, crucial for maintaining data integrity in fintech applications as highlighted in the features.
Enables indexed lookups to improve query performance, which is explicitly listed as a supported feature in the README.
Does not support JOINs, aggregation functions like min/max/avg, and has emulated order_bys that are slow (O(n log n)) for large datasets, as admitted in the README.
Lacks type casting, unique constraints, and composite primary keys, meaning data validation must be handled manually, which is noted in the 'Not supported features' section.
The adapter is still not passing all Ecto integration tests and is in active development, making it less stable for production use, as cautioned in the README.