Native crash (SIGSEGV in getSuggestionsNative) when typing with a multilingual secondary language
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Nadie ha tomado este issue todavía.
Evaluación
- Dificultad
- 4/5
- Tiempo estimado
- 3-5 días
- Aptitud para principiantes
- 25/100
Línea de trabajo
Start with DictionaryFacilitatorImpl.getSuggestionResults(), where secondary-dictionary queries run in scope.launch and are awaited for 120 ms, then BinaryDictionary.getSuggestions(), where only getTraverseSession() is synchronized and the native call is not. The work is to confirm that overlapping queries share one DicTraverseSession and then make access to that session safe; the reporter already has a candidate fix. Done means no SIGSEGV under overlapping queries, which needs a device or a concurrency reproduction.
Escrito por el modelo de indexación a partir del texto del issue.
Descripción
Describe the bug
With a secondary language added via Multilingual typing (German + English (US), both main dictionaries installed), the keyboard process sometimes crashes in native code (SIGSEGV, null pointer dereference in libjni_latinime.so). For us it happened right after tapping the clipboard suggestion and when typing fast.
Backtrace (shortened):
F libc : Fatal signal 11 (SIGSEGV), code 1 (SEGV_MAPERR), fault addr 0x11 in tid 10828 (DefaultDispatch)
F DEBUG : Cause: null pointer dereference
F DEBUG : #00..#04 libjni_latinime.so
F DEBUG : #11 com.android.inputmethod.latin.BinaryDictionary.access$getSuggestionsNative
F DEBUG : #24 com.android.inputmethod.latin.BinaryDictionary.getSuggestions
F DEBUG : #30 helium314.keyboard.latin.dictionary.ReadOnlyBinaryDictionary.getSuggestions
F DEBUG : #35 helium314.keyboard.latin.dictionary.DictionaryCollection.getSuggestions
F DEBUG : #38 helium314.keyboard.latin.DictionaryFacilitatorImpl.getSuggestions
F DEBUG : #49 helium314.keyboard.latin.DictionaryFacilitatorImpl$getSuggestionResults$1.invokeSuspend
F DEBUG : #53 kotlinx.coroutines.DispatchedTask.run
Cause (from reading the code)
DictionaryFacilitatorImpl.getSuggestionResults() queries the secondary dictionary groups in scope.launch {} on a background thread and waits for them only up to await(120, TimeUnit.MILLISECONDS) (reduced from 500 ms in 05023da). If a query takes longer, the next keystroke starts a new query on the same dictionary while the previous one is still running.
Both queries use the same DicTraverseSession (same session id). Its Java buffers (mInputCodePoints, mPrevWordCodePointArrays, ...) and the native session are shared. BinaryDictionary.getSuggestions() only synchronizes the session lookup in getTraverseSession(), not the native call, so two threads can run getSuggestionsNative() on the same native session at the same time.
Fix that works for us
Hold a lock on the session for the whole query in BinaryDictionary.getSuggestions():
val session = getTraverseSession(sessionId)
synchronized(session) {
// fill the session buffers, call getSuggestionsNative(..., session.getSession(), ...), read the results
}
(and pass session.getSession() instead of calling getTraverseSession(sessionId) a second time). We haven't seen the crash since. I can send a PR once we've tested it a bit longer.
To Reproduce
- Languages & Layouts → German → Multilingual typing → add English (US). Install the main dictionaries for both.
- Type fast, or copy some text and tap the clipboard suggestion right away.
- Occasionally the keyboard crashes and restarts. It depends on timing, so it doesn't happen every time.
Expected behavior
No crash.
App version & Flavor
Found in GlassType, my fork based on LeanType 4.3.0 (d634e26), standard flavor. BinaryDictionary.getSuggestions() is unchanged in current main (0e673e1), and getSuggestionResults() now waits even shorter (120 ms).
Device Info
- Model: Samsung Galaxy S23 Ultra (SM-S918B)
- OS version: Android 17
- Lenguaje dominante
- Kotlin
- Estrellas
- 1k
- Forks
- 59
- Merge medio
- 14 h 9 min
- PR fusionados (30 d)
- 56
Preparar el entorno
- Sin Dockerfile ni archivo de Docker Compose
- Tiene una plantilla de pull request
- Leer la guía de contribución
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
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