react / react/react-native

Fetching large json data results in OutOfMemoryError

Abierto
#32,134 22 comentarios 4 reacciones 0 asignados Ver en GitHub

Nadie ha tomado este issue todavía.

🌐Networking Issue: Author Provided Repro
Lenguaje dominante
C++
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Forks
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Merge medio
1 d 23 h
PR fusionados (30 d)
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Descripción

Description

Using fetch to get several Megabytes (currently happens for me at around 80Mb) of JSON data causes Android to panic and throw an OutOfMemoryError. This is due to the fact that the whole response is being read as bytes, quickly filling up the heap.

Stacktrace:

09-01 21:32:21.035  5480  5555 E AndroidRuntime: java.lang.OutOfMemoryError: Failed to allocate a 98836368 byte allocation with 25165824 free bytes and 88MB until OOM, target footprint 133385952, growth limit 201326592
09-01 21:32:21.035  5480  5555 E AndroidRuntime: 	at okio.Buffer.readByteArray(Buffer.kt:1429)
09-01 21:32:21.035  5480  5555 E AndroidRuntime: 	at okio.Buffer.readByteArray(Buffer.kt:1424)
09-01 21:32:21.035  5480  5555 E AndroidRuntime: 	at okio.RealBufferedSource.readByteArray(RealBufferedSource.kt:238)
09-01 21:32:21.035  5480  5555 E AndroidRuntime: 	at okhttp3.ResponseBody.bytes(ResponseBody.kt:124)
09-01 21:32:21.035  5480  5555 E AndroidRuntime: 	at com.facebook.react.modules.blob.BlobModule$4.toResponseData(BlobModule.java:134)
09-01 21:32:21.035  5480  5555 E AndroidRuntime: 	at com.facebook.react.modules.network.NetworkingModule$2.onResponse(NetworkingModule.java:512)
09-01 21:32:21.035  5480  5555 E AndroidRuntime: 	at okhttp3.internal.connection.RealCall$AsyncCall.run(RealCall.kt:519)
09-01 21:32:21.035  5480  5555 E AndroidRuntime: 	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1167)
09-01 21:32:21.035  5480  5555 E AndroidRuntime: 	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:641)
09-01 21:32:21.035  5480  5555 E AndroidRuntime: 	at java.lang.Thread.run(Thread.java:923)

React Native version:

System:
    OS: Linux 5.13 Solus 4.3
    CPU: (8) x64 Intel(R) Core(TM) i7-7700HQ CPU @ 2.80GHz
    Memory: 1.39 GB / 15.52 GB
    Shell: 5.1.8 - /bin/bash
  Binaries:
    Node: 14.17.5 - /usr/bin/node
    Yarn: 1.22.10 - /usr/bin/yarn
    npm: 6.14.14 - /usr/bin/npm
    Watchman: Not Found
  SDKs:
    Android SDK: Not Found
  IDEs:
    Android Studio: Not Found
  Languages:
    Java: 1.8.0_302-solus - /usr/lib64/openjdk-8/bin/javac
  npmPackages:
    @react-native-community/cli: Not Found
    react: 17.0.2 => 17.0.2 
    react-native: 0.65.1 => 0.65.1 
  npmGlobalPackages:
    *react-native*: Not Found

Steps To Reproduce

I created a test repository that shows the aforementioned behaviour. It also includes a 100Mb JSON file for testing, that you can serve locally or access via GitHub directly.
Steps are as follows

  1. Tap on the load data button
  2. Wait for the app to crash

Expected Results

Getting an out of memory error shouldn't really happen with this size of data in my opinion. Sure 100Mb sounds a lot at first, but in enterprise-grade apps this is probably a common scenario. In any case I think there should be a possibility to dynamically switch to streaming the response since okhttp offers bytestream and charstream as well. I'm not that well versed in Java but it would probably help reduce all of the 150Mb landing on the heap at once?

Snack, code example, screenshot, or link to a repository:

https://github.com/curtisy1/ReactNativeFetchRepro

Guía de contribución

Abrir la guía de contribución

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

Línea de trabajo

Comienza con el manejo de respuestas de Android mostrado en BlobModule.java y NetworkingModule.java; después, ejecuta el repositorio ReactNativeFetchRepro enlazado con su archivo data.json de 100MB. Compara la ruta actual de fetch con las referencias a OkHttp ResponseBody byteStream y charStream en el issue; se considera terminado cuando las respuestas JSON grandes ya no provocan el OutOfMemoryError reportado.

Escrito por el modelo de indexación a partir del texto del issue.

Evaluación

Stack tecnológico
android, java, react-native
Área
mobile, networking
Tipo de issue
Error
Dificultad
4/5
Tiempo estimado
3-5 días
Estado de actividad
Estancado
Claridad
Bastante claro
Aptitud para principiantes
42/100

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