chore: Make materializer stackless for obj and arr#620
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He-Pin wants to merge 2 commits intodatabricks:masterfrom
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chore: Make materializer stackless for obj and arr#620He-Pin wants to merge 2 commits intodatabricks:masterfrom
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Pull request overview
This PR refactors Materializer.apply0 to avoid recursive JVM stack growth when materializing deeply nested objects/arrays, aiming to reduce StackOverflow risk by using an explicit stack.
Changes:
- Replaced recursive object/array materialization with an iterative, stack-based algorithm.
- Added
materializeLeafhelper and stack frame types for object/array traversal. - Added documentation about a supposed TCO boundary and a defensive TailCall check.
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Pull request overview
Copilot reviewed 10 out of 10 changed files in this pull request and generated 3 comments.
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sjsonnet/src/sjsonnet/Materializer.scala:22
Materializernow introduces a new abstract methodstorePos(v: Val). BecauseMaterializeris a public abstract class, adding an abstract member is a source/binary breaking change for any downstream code that subclasses it. Consider makingstorePos(v: Val)a concrete (non-abstract) helper that delegates tostorePos(v.pos)(or a default no-op) so existing subclasses continue to compile unchanged.
abstract class Materializer {
def storePos(pos: Position): Unit
def storePos(v: Val): Unit
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Motivation:
This can reduce some stack usage of the jvm native frame
refs:google/jsonnet#1142
based on #619
Which should be slightly slower? So I have to use a hybrid strategy.
on main
with this