Documentation Improvement Ideas
This chapter is a roadmap for the next iteration of the book. Each subsection summarises a gap we discovered while reviewing the crate and outlines the minimal content that would help readers apply the feature in practice. When you pick one of these items up, try to produce a runnable example (or at least executable pseudocode) so the section teaches a concrete workflow rather than a theory sketch.
High-priority topics
The following themes unblock common deployment or operational scenarios and should be tackled first when planning documentation work:
Remote object stores
repo::objectstore::ObjectStoreRemote::with_url wires the repository into
object_store services such
as S3, local filesystems or Azure storage. The future chapter should walk
through credential configuration, namespace selection, and pairing the remote
backend with other stores (for example via HybridStore). It also needs to call
out how branch updates rely on PutMode::Update/UpdateVersion retries, how
conflicts bubble up to callers, and how listings stream through
BlockingIter so readers know what consistency guarantees to expect. 【F:src/repo/objectstore.rs†L108-L316】
Hybrid storage recipes
repo::hybridstore::HybridStore mixes a blob store with a separate branch
store. Documenting a few reference layouts—remote blobs with local branches,
piles with in-memory branches, or even two-tier caches—will help teams evaluate
trade-offs quickly. 【F:src/repo/hybridstore.rs†L1-L86】
Signature verification
Both repo::commit::verify and repo::branch::verify expose helpers for
validating signed metadata before accepting remote history. A hands-on example
should explain when to perform verification, how to surface failures to callers,
and which key material needs to be distributed between collaborators. 【F:src/repo/commit.rs†L84-L122】 【F:src/repo/branch.rs†L95-L136】
Repository migration helpers
repo::transfer rewrites whichever handles you feed it and returns the old and
new identifiers so callers can update references. A migration recipe could show
how to collect handles from BlobStoreList::blobs() for full copies or from
reachable when only live data should be duplicated. Highlight how the helper
fits into a scripted maintenance window. 【F:src/repo.rs†L394-L516】
Conservative GC tooling
The garbage-collection chapter covers the high-level approach, but it should
also reference concrete APIs such as repo::reachable, repo::transfer, and
MemoryBlobStore::keep. Describing how to compute and retain the reachable set
in code makes it easier to embed the GC workflow into automated jobs. 【F:src/repo.rs†L394-L516】 【F:src/blob/memoryblobstore.rs†L169-L210】
Emerging capabilities
These topics are less urgent but still deserve coverage so that readers can reuse advanced building blocks without digging through source code.
Succinct archive indexes
blob::schemas::succinctarchive::SuccinctArchive converts a TribleSet into
compressed wavelet matrices, exposes helpers such as distinct_in and
enumerate_in, implements TriblePattern, and serialises via ordered,
compressed or cached Universe implementations. A dedicated section should walk
through building an archive from a set, choosing a universe, storing it as a
blob, and querying it directly through SuccinctArchiveConstraint so readers
can reuse the on-disk index without round-tripping through TribleSet
conversions. 【F:src/blob/schemas/succinctarchive.rs†L100-L529】 【F:src/blob/schemas/succinctarchive/universe.rs†L16-L265】 【F:src/blob/schemas/succinctarchive/succinctarchiveconstraint.rs†L9-L200】
Extensible path engines
Regular path queries run through RegularPathConstraint, which delegates edge
checks to the PathEngine trait. The book should document how the built-in
ThompsonEngine constructs NFAs from a TribleSet and demonstrate how to plug
in alternative engines backed by other graph stores so readers can extend the
regex-based traversal beyond in-memory datasets. 【F:src/query/regularpathconstraint.rs†L1-L200】
How to keep this list fresh
Treat these notes as a living backlog. Whenever a new subsystem lands, ask yourself whether it needs a discoverability guide, a tutorial or a troubleshooting section. Update this chapter with the gaps you observe, and link to the relevant modules so future contributors can jump straight into the implementation.