@fluidframework/container-runtime

@fluidframework/container-runtime

Data Virtualization For DataStores (Work in Progress)

It's a capability to exclude some content from initial snapshot (used when loading container) and thus improve boot performance of a container. Excluded content could be loaded at a later time when it's required.

Motivation for Data Virtualization

This section talks about how the system used to work before Data virtualization. Currently, the content of whole file is downloaded in one go. Due to limitation of data virtualization, FF holds all blobs in snapshot as those might be required in the future. Any delayed loading (through FF APIs) results in loading state of datastores at a sequence number of snapshot we booted from, up until the current sequence number by applying the pending ops for that datastore. While application may choose not to load some data stores immediately on boot (and realize some saving in time and memory by not allocating appropriate app state for such datastores), FF still pays the costs for such content. It also continues to pay the cost for all such content indefinitely, even if those datastores were loaded.

Improvement with Data Virtualization

With this, we will provide a capability to:

• Exclude some sub-trees from snapshot payload, thus allowing faster transfer times / boot times and smaller initial memory footprint.
• Ability to delay-load data stores later.

Container Runtime Apis like IContainerRuntimeBase.createDataStore and IContainerRuntimeBase.createDetachedDataStore provides an argument loadingGroupId which allows apps to mark a datastore at time of creation currently. Every data store is assigned a groupID. Not providing groupID (on API) means that default ID is used. This groupId represents the group of the datastore within a container or its snapshot. When a container is loaded initially, only datastores which belongs to default group are fetched from service and can be loaded on demand when requested by user. This decreases the amount of data which needs to be fetched during load and hence provides faster boot times for the container. Attempting to load any datastore within a non-default group results in fetching all content/datastores marked with same groupId. So, one network will be required to fetch content for a group when a datastore from a group is requested by an application. In advanced app scenarios, app would want to make datastores with a specific group Id, based on how it wants to load a certain group at once, and not load the datastores that aren't part of the group. By effectively using groupID, app will be able to improve boot times by not fetching unnecessary groups at load. So to summarize, when datastore is assigned to a group, content of such data store will not be loaded with initial load of container. It will be loaded only when any datastore with such groupID is realized. This will improve the boot perf. Data virtualization or providing the loadingGroupId will however decrease the performance of loading of those datastores as one network call would be required before loading. However, providing same loadingGroupId to put some data stores in same group, would improve performance for their loading as compared to providing a different group Id to each of these datastores as then one network call will be required to fetch snapshot for that group of datastores rather than one network call for each datastore. So, the datastores which can get fairly big in size content wise and which are not required to be loaded on boot, can be put under a non-default groupId.

Using Fluid Framework libraries

When taking a dependency on a Fluid Framework library, we recommend using a ^ (caret) version range, such as ^1.3.4. While Fluid Framework libraries may use different ranges with interdependencies between other Fluid Framework libraries, library consumers should always prefer ^.

Installation

To get started, install the package by running the following command:

npm i @fluidframework/container-runtime

Importing from this package

This package leverages package.json exports to separate its APIs by support level. For more information on the related support guarantees, see API Support Levels.

To access the public (SemVer) APIs, import via @fluidframework/container-runtime like normal.

To access the legacy APIs, import via @fluidframework/container-runtime/legacy.

API Documentation

API documentation for @fluidframework/container-runtime is available at https://fluidframework.com/docs/apis/container-runtime.

Contribution Guidelines

There are many ways to contribute to Fluid.

• Participate in Q&A in our GitHub Discussions.
• Submit bugs and help us verify fixes as they are checked in.
• Review the source code changes.
• Contribute bug fixes.

Detailed instructions for working in the repo can be found in the Wiki.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [e-mail] with any additional questions or comments.

This project may contain Microsoft trademarks or logos for Microsoft projects, products, or services. Use of these trademarks or logos must follow Microsoft’s Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.

Help

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Trademark

This project may contain Microsoft trademarks or logos for Microsoft projects, products, or services.

Use of these trademarks or logos must follow Microsoft's Trademark & Brand Guidelines.

Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.