AutomatonQuery.ramBytesUsed() is computed once at construction, so a query that runs on an NFA (WildcardQuery and RegexpQuery by default on main, opt-in NFA queries since 10.0.0) under-reports the DFA states it builds while searching, and an LRUQueryCache can hold far more heap than its RAM budget
Finding LFV-192Area: search / AutomatonQuery RAM accounting (NFARunAutomaton lazily built DFA states; LRUQueryCache RAM budget)Priority: lowImpact: silent wrong resultsNovelty: new
AI-assisted finding, confirmed by automated checks, not yet triaged by a human Lucene committer. This site files nothing upstream.
What it shows
You run a WildcardQuery or RegexpQuery whose automaton is not deterministic, for example '*a?????????' or 'a*b??????????', and expect its ramBytesUsed() to estimate the heap the query holds, which is what the Accountable javadoc says and what LRUQueryCache uses to stay within maxRamBytesUsed. On main such a query runs on an NFARunAutomaton that builds DFA states lazily during the search and keeps them on the query object, but AutomatonQuery stored ramBytesUsed() in a final field when it was constructed, so after one search the value is 36x to 310x too small (5,674 bytes reported vs 205,216 retained over 1,024 terms; 6,714 vs 2,081,152 on a 20,000-document field). An LRUQueryCache with a 1 MiB budget then keeps 4 such queries as keys that retain 2.7 to 7.4 MB while it accounts about 36 KB in total and evicts nothing; the matching documents are correct.
The test shows that AutomatonQuery.ramBytesUsed() is frozen at construction: after one count of WildcardQuery(f:*a?????????) over all 1,024 10-char a/b terms, its lazily determinized NFA has grown but the query's value has not.
Expected vs actual
Expected q.ramBytesUsed() >= q.getCompiled().ramBytesUsed() (the query holds that automaton). Actual: 5,674 < 273,273.
Files
Run it
- Tested on Lucene main e1faeba08bde (2026-11-02): still reproduces.
- Tested on Lucene main 645d4fe14a20 (2026-10-28): reproduced.
- Recorded outcome of run 1 on Lucene main 645d4fe14a20: 1 test(s) run, 1 failed.
- How to read the outcome: a failing test is the finding reproducing (the failure message states expected against actual).
- Seeds: a rerun with the same seed replays the same random choices. Assertions off (-da -dsa -Dtests.asserts=false) is the production-like setting.
# Lucene checkout at the tested commit, built with: ./gradlew --no-daemon assemble (JDK 25)
LUCENE=/path/to/lucene; V=12.0.0-SNAPSHOT
CP=$LUCENE/lucene/core/build/libs/lucene-core-$V.jar
CP=$CP:$LUCENE/lucene/codecs/build/libs/lucene-codecs-$V.jar
CP=$CP:$LUCENE/lucene/test-framework/build/libs/lucene-test-framework-$V.jar
CP=$CP:randomizedtesting-runner-2.9.2.jar:junit-4.13.2.jar:hamcrest-3.0.jar # test-framework dependencies (Maven Central)
CP=$CP:junit-platform-console-standalone-6.1.3.jar # JUnit Platform console launcher (Maven Central)
javac -d classes -cp "$CP" $(find src -name '*.java')
# run 1: assertions on, seed DEADBEEF
java -ea -esa --add-modules jdk.incubator.vector --enable-native-access=ALL-UNNAMED -Dtests.seed=DEADBEEF \
-cp "classes:$CP" org.junit.platform.console.ConsoleLauncher \
execute --select-class org.apache.lucene.search.TestAutomatonQueryRamBytesUsedAfterSearch
Gradle alternative: copy the test into the matching module's src/test/ tree of the checkout and run ./gradlew -p lucene/<module> test --tests <class> -Ptests.seed=<seed> (add -Ptests.asserts=false for a run without assertions).
Feedback
Open an issue in lucene-ai-bug-hunt. Please do not open issues or pull requests in apache/lucene about this finding unless a Lucene committer agrees it should be filed.
Snapshot of 2026-11-04. AI-assisted; not yet triaged by a human Lucene committer. Feedback: open an issue in lucene-ai-bug-hunt.