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[Java Harness] Reapply optimization to use Caches.weigh on objects within cached blocks#37964

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scwhittle merged 2 commits intoapache:masterfrom
scwhittle:weigh_optimize
Apr 15, 2026
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[Java Harness] Reapply optimization to use Caches.weigh on objects within cached blocks#37964
scwhittle merged 2 commits intoapache:masterfrom
scwhittle:weigh_optimize

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Weighing the lists directly ends up remeasuring all of the objects using measureDeep even if those objects are of a Weighted class.

This was previously done with #36897 but was reverted because it used ImmutableList which doesn't allow null elements and null values are supported otherwise in Beam. Changed to using a array backed list instead and added a unit test for null values.

removed nullness suppression in the file while at it.

Should help #37905


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Summary of Changes

Hello, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request re-enables a critical optimization for cache weighing within the Java Harness, which was previously rolled back. The core improvement involves refactoring the underlying data structures to properly handle null values, a limitation of the prior implementation. This change enhances the efficiency of cache management and improves the robustness of state fetching iterators by ensuring correct weight calculations and null safety.

Highlights

  • Reapplied Cache Optimization: Reintroduced an optimization to use Caches.weigh on objects within cached blocks, which was previously reverted due to issues with ImmutableList not supporting null elements.
  • Null Value Support: Resolved the ImmutableList issue by switching to an array-backed list for Block values, allowing null elements, and added a dedicated unit test to ensure null values are correctly handled.
  • Improved Weight Calculation: Replaced custom arithmetic overflow handling with LongMath::saturatedAdd for weight accumulation in WeightedList and BlocksPrefix, preventing ArithmeticException and ensuring weights cap at Long.MAX_VALUE.
  • Nullness Annotations and Suppressions: Cleaned up nullness suppressions and added @Nullable annotations across Caches.java and StateFetchingIterators.java for improved type safety and clarity.
  • Refactored Block Class: Converted the StateFetchingIterators.Block from an AutoValue class to a concrete class with a builder pattern, providing more control over its construction and weight calculation.

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@github-actions github-actions Bot added the java label Mar 26, 2026
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Checks are failing. Will not request review until checks are succeeding. If you'd like to override that behavior, comment assign set of reviewers

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scwhittle commented Mar 27, 2026

Verified that with this change and a Weighted object in state fields, there are no more measureDeep calls.

Here is the fromBlocks stacks with the change:
image

compared to without the change:
image

The weighing overhead would be worse for larger objects

@scwhittle scwhittle closed this Apr 7, 2026
@scwhittle scwhittle reopened this Apr 7, 2026
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failures appear unrelated direct runner tests

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assign set of reviewers

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github-actions Bot commented Apr 7, 2026

Assigning reviewers:

R: @kennknowles for label java.

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R: @arunpandianp

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Stopping reviewer notifications for this pull request: review requested by someone other than the bot, ceding control. If you'd like to restart, comment assign set of reviewers


public static <T> Block<T> fromValues(List<T> values, @Nullable ByteString nextToken) {
return fromValues(WeightedList.of(values, Caches.weigh(values)), nextToken);
long listWeight = values.size() * Caches.REFERENCE_SIZE;
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Will it be useful to move this logic inside Caches.weigh? Caches.weigh could check if the object is an list/collection and compute weights using this logic.

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It seems a little safer just here since we know the lists. A possible concern with it in Caches.weigh is that it could remove counting of bytes for custom lists/collections which are more expensive than when iterated.

@scwhittle scwhittle merged commit 4ee32cd into apache:master Apr 15, 2026
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@scwhittle scwhittle deleted the weigh_optimize branch April 15, 2026 14:35
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