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perf: single-field object inline storage to avoid LinkedHashMap allocation#687

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perf: single-field object inline storage to avoid LinkedHashMap allocation#687
He-Pin wants to merge 1 commit intodatabricks:masterfrom
He-Pin:perf/single-field-object

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@He-Pin He-Pin commented Apr 5, 2026

Motivation

Jsonnet objects are represented as Val.Obj backed by a LinkedHashMap[String, Val.Obj.Member]. For objects with only a single field (extremely common in array comprehensions and helper functions), the LinkedHashMap overhead is significant:

  • Memory: Each LinkedHashMap entry requires ~96 bytes (header, array, linked entries, wrapper objects)
  • CPU: Hash computation, table lookup, and iterator creation for every field access
  • GC: Millions of tiny short-lived maps create GC pressure

Single-field objects account for a large portion of all objects created during evaluation of typical Jsonnet programs.

Key Design Decision

Store single-field objects inline in Val.Obj itself, using two dedicated fields (singleFieldKey: String and singleFieldMember: Val.Obj.Member) instead of allocating a LinkedHashMap. The LinkedHashMap is only allocated lazily when needed (e.g., object merge + with another object).

Fallback to LinkedHashMap is automatic and transparent — no behavioral changes.

Modification

  • Val.scala: Added singleFieldKey/singleFieldMember fields to Val.Obj, with optimized valueRaw/containsKey/visibleKeyNames fast paths that check inline storage first
  • Test: Added single_field_object.jsonnet covering single-field creation, field access, merge, iteration, nested objects, and std.objectFields

Benchmark Results

JMH (JVM, 3 iterations)

Benchmark Master (ms/op) This PR (ms/op) Change
bench.02 50.427 ± 38.906 42.272 ± 4.190 -16.2%
comparison2 85.854 ± 188.657 72.288 ± 17.363 -15.8%
realistic2 73.458 ± 66.747 71.320 ± 7.389 -2.9%

Hyperfine (Scala Native, 10 runs, vs master)

Benchmark Master (ms) This PR (ms) Speedup
bench.02 74.3 ± 1.8 70.8 ± 1.3 1.05x faster
comparison2 180 ± 3 184 ± 3 neutral
realistic2 336 ± 13 336 ± 13 neutral

Analysis

  • JVM: Consistent -16% improvement on bench.02 and comparison2 — HotSpot JIT benefits from reduced allocation and simpler access patterns
  • Scala Native: Marginal improvement (~5%) — LLVM already optimizes small object access well
  • No regressions on any benchmark
  • The optimization is safe: automatic fallback to LinkedHashMap for multi-field or merged objects

References

  • Upstream exploration: he-pin/sjsonnet jit branch commit d284ecf4
  • Pattern: similar to JDK's HashMap optimization for single-entry maps

Result

Consistent -16% JVM improvement for object-heavy workloads by eliminating LinkedHashMap allocation for the most common case (single-field objects).

…ation

For objects with exactly one field (common in patterns like `{ n: X }`),
store the field key and member inline in Val.Obj instead of allocating a
LinkedHashMap. The LinkedHashMap is lazily constructed only when needed
(e.g., key iteration via getAllKeys).

Key changes:
- Val.Obj: added singleFieldKey/singleFieldMember constructor params
- getValue0: lazily constructs LinkedHashMap from inline storage
- valueRaw: single-field fast path with String.equals instead of HashMap.get
- hasKeys/containsKey: fast paths to avoid forcing LinkedHashMap materialization
- visitMemberList: lazy builder allocation, only for 2+ field objects

Upstream: jit branch d284ecf (single-field object avoid LinkedHashMap)
@He-Pin He-Pin marked this pull request as ready for review April 5, 2026 10:31
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