Commit 42b42c8
committed
mempool/txgraph: add package documentation and user guide
This commit provides two levels of documentation for the transaction graph
package—godoc comments for API reference and a comprehensive README for user
onboarding.
The doc.go file establishes package-level documentation that appears in godoc
output, providing a high-level introduction to the package's purpose and
capabilities. It outlines the core features (efficient lookups, edge creation,
cluster management, package identification, orphan detection, traversal
strategies) and describes the major concepts (graph structure, packages,
iteration, orphan detection, thread safety).
The documentation includes practical code examples showing common usage
patterns. Rather than exhaustive API coverage, these examples demonstrate the
typical workflow—creating a graph, adding transactions, querying ancestors and
descendants, identifying packages, and iterating with custom filters. This
example-driven approach helps developers understand not just what methods exist
but how they fit together in real applications.
The README.md takes a different approach, targeting developers who are
evaluating or integrating the package. It starts with motivation—explaining
why transaction graphs matter for mempool management and what problems they
solve. This context helps readers understand when they need this package and
what benefits it provides.
The core concepts section defines terms like "transaction graph," "cluster,"
and "package" with emphasis on their practical implications. For example,
clusters are explained not just as connected components but as the unit of
analysis for RBF validation—replacements must improve the entire cluster's fee
rate, not individual transactions. This connects abstract concepts to concrete
use cases.
The quick start examples are runnable code demonstrating key workflows. The
first example shows basic graph construction with automatic edge creation. The
second demonstrates cluster iteration for fee analysis. The third covers
package identification and validation. The fourth shows advanced iteration with
functional options and filters. These examples progress from simple to complex,
building understanding incrementally.
The common patterns section captures best practices discovered during
implementation. It covers incremental graph building, package-aware relay,
ancestor/descendant limit enforcement, and efficient cleanup on block
confirmation. These patterns represent battle-tested approaches to recurring
problems, saving readers from rediscovering solutions.
The PackageAnalyzer interface receives special attention because it represents
the main extension point. The documentation explains the abstraction purpose
(separating graph structure from protocol validation) and lists the methods
each implementation must provide. This section helps developers who need to add
new package types or customize validation logic.
Performance characteristics provide guidance on the computational cost of
operations, helping developers make informed architectural decisions. The O(1),
O(n), and O(d) complexity annotations set expectations for different graph
sizes and query patterns. Mentioning the ~1KB memory overhead per transaction
helps with capacity planning for mempool implementations.1 parent ba7f98a commit 42b42c8
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