Locks with ordered sharing¶
A family of transaction-concurrency protocols that soften lock conflicts by admitting ordered sharing while preserving a serialization order.
Core Idea¶
The family contains variants with different conflict semantics, remains distinct from ordinary shared/exclusive locking, and correctness must be stated through serializability or another declared transaction criterion rather than throughput alone. Transactions acquire locks under a two-phase discipline, but selected conflicting requests share a resource in a controlled order; ordering metadata constrains dependent operations and can reduce blocking and thrashing without losing the target schedule equivalence. The abstraction is therefore identified by a declared carrier, a transformation or constraint over that carrier, and an invariant that tells an analyst whether the named structure is genuinely present.
Scope of Application¶
Locks with ordered sharing belongs to database concurrency control and is useful where the analyst can specify the typed database concurrency control carrier, including objects, relations, parameters, conventions, evidence, boundaries, and comparison targets, then evaluate the transactions and data items, lock modes and compatibility relation, ordered-sharing rule and transaction order, growing and shrinking phases, conflict and wait semantics, schedule history, serialization or correctness criterion, deadlock and starvation behavior, rollback and recovery interaction and performance tradeoffs are explicit.
Clarity¶
The abstraction clarifies a crowded vocabulary by making the transactions and data items, lock modes and compatibility relation, ordered-sharing rule and transaction order, growing and shrinking phases, conflict and wait semantics, schedule history, serialization or correctness criterion, deadlock and starvation behavior, rollback and recovery interaction and performance tradeoffs are explicit the center of the account. A claim should name the carrier, the governing operation or relation, the applicable assumptions, and the recognition test.
Manages Complexity¶
Without the abstraction, an analyst must reason directly over many local details: the carrier roles, admissibility assumptions, competing conventions, derived invariants, boundary cases, and proof or validation obligations specific to Locks with ordered sharing. Locks with ordered sharing compresses them into the roles in the structural signature. That compression permits comparison across instances without erasing the variables that determine validity. It also exposes which details may be varied safely and which are constitutive.
Abstract Reasoning¶
- Identify the carrier. State what the elements, states, objects, or observations are: the typed database concurrency control carrier, including objects, relations, parameters, conventions, evidence, boundaries, and comparison targets. Reject examples whose alleged carrier belongs to a different problem. 2. Lock the constitutive rule. Express the transactions and data items, lock modes and compatibility relation, ordered-sharing rule and transaction order, growing and shrinking phases, conflict and wait semantics, schedule history, serialization or correctness criterion, deadlock and starvation behavior, rollback and recovery interaction and performance tradeoffs are explicit independently of one notation or implementation.
Knowledge Transfer¶
Knowledge transfers strongly among subfields of database concurrency control because they reuse the typed database concurrency control carrier, including objects, relations, parameters, conventions, evidence, boundaries, and comparison targets, Transactions acquire locks under a two-phase discipline, but selected conflicting requests share a resource in a controlled order; ordering metadata constrains dependent operations and can reduce blocking and thrashing without losing the target schedule equivalence., and type the carrier, state every parameter and convention in the definition, test that the transactions and data items, lock modes and compatibility relation, ordered-sharing rule and transaction order, growing and shrinking phases, conflict and wait semantics, schedule history, serialization or correctness criterion, deadlock and starvation behavior, rollback and recovery interaction and performance tradeoffs are explicit, compare the nearest accepted identity, and report counterexamples, uncertainty, and limiting cases.
Relationships to Other Abstractions¶
Current abstraction Locks with ordered sharing Domain-specific
Parents (1) — more general patterns this builds on
-
Locks with ordered sharing is a kind of Coordination Prime
The proposed strict upward parent is
prime:coordination.
Hierarchy paths (5) — routes to 4 parentless roots
- Locks with ordered sharing → Coordination → Concurrency
- Locks with ordered sharing → Coordination → Dependency
- Locks with ordered sharing → Coordination → Task Interdependence → Dependency
- Locks with ordered sharing → Coordination → Mobilization → Latent Realizable Capacity
- Locks with ordered sharing → Coordination → Task Interdependence → Network → Reservoir-Flux Network → Conservation Laws → Invariance
Neighborhood in Abstraction Space¶
Locks with ordered sharing sits in a moderately populated region (48th percentile for distinctiveness): it has near-neighbors but no dense thicket of look-alikes.
Family — Concurrency, Transactions & Process Coordination (20 abstractions)
Nearest neighbors
- Database transaction — 0.91
- Event structure — 0.91
- Query rewriting — 0.89
- Sequential access — 0.88
- Data dependency — 0.88
Computed from structural-signature embeddings · 2026-09-08