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docs/documents/plv8.md

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@@ -496,7 +496,7 @@ At this point, Marten supports these use cases:
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1. Transforming the data in one or more documents to apply some kind of structural migration to persisted documents, like you would need to do if
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the application code no longer matches the JSON previously stored
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2. Creating a "readside" view of a persisted document as part of a Linq query.
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2. Creating a "read-side" view of a persisted document as part of a Linq query.
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3. Transform the raw document data to a completely different .Net type as part of a Linq query
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### Creating and Loading a Javascript Function

documentation/documentation/documents/advanced/javascript_transformations.md

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1. Transforming the data in one or more documents to apply some kind of structural migration to persisted documents, like you would need to do if
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the application code no longer matches the JSON previously stored
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1. Creating a "readside" view of a persisted document as part of a Linq query.
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1. Creating a "read-side" view of a persisted document as part of a Linq query.
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1. Transform the raw document data to a completely different .Net type as part of a Linq query
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documentation/documentation/events/projections/index.md

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* _Projection_ - any strategy for generating "read side" views from the raw event streams
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* _Transformation_ - a type of projection that generates or updates a single read side view for a single event
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* _Aggregate_ - a type of projection that "aggregates" data from multiple events to create a single readside view document
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* _Aggregate_ - a type of projection that "aggregates" data from multiple events to create a single read-side view document
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* _Inline Projections_ - a type of projection that executes as part of any event capture transaction and is stored as a document
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* _Async Projections_ - a type of projection that runs in a background process using an [eventual consistency](https://en.wikipedia.org/wiki/Eventual_consistency) strategy, and is stored as a document
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* _Live Projections_ - evaluates a projected view from the raw event data on demand within Marten
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## Transformations
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Transformations project from one event type to one document. If you want to have certain events projected to a readside document and the relationship is one to one, Marten supports this pattern today with the .Net `ITransform` interface:
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Transformations project from one event type to one document. If you want to have certain events projected to a read-side document and the relationship is one to one, Marten supports this pattern today with the .Net `ITransform` interface:
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<[sample:ITransform]>
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As a sample problem, let's say that we're constantly capturing `MonsterSlayed` events and our system needs to query just this data. You could query directly against the large `mt_events` table with
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`IEventStore.Query<MonsterSlayed>()`, but it would be more efficient to keep a separate "read side" copy of this data in a new data collection. We could build a new transform class and readside document like this:
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`IEventStore.Query<MonsterSlayed>()`, but it would be more efficient to keep a separate "read side" copy of this data in a new data collection. We could build a new transform class and read-side document like this:
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<[sample:MonsterDefeatedTransform]>
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planning/MartenV4.md

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* Consider replacing the `SelectMany()` implementation with *Common Table Expression* sql statements. That might do a lot to simplify the internal mechanics. Could definitely get us to an n-deep model.
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* Do the [Json streaming story](https://github.com/JasperFx/marten/issues/585) because it should be compelling, especially as part of the readside of a CQRS architecture using Marten's event store functionality.
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* Do the [Json streaming story](https://github.com/JasperFx/marten/issues/585) because it should be compelling, especially as part of the read-side of a CQRS architecture using Marten's event store functionality.
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* *Possibly* use a PLV8-based [JsonPath](https://goessner.net/articles/JsonPath/) polyfill so we could use sql/json immediately in the Linq support. More research necessary.
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