[Java] Memory leak when use VectorSchemaSlice slice
- Langage dominant
- Java
- Étoiles
- 94
- Forks
- 152
- Merge moyen
- 3 j 16 h
- PR mergées (30 j)
- 11
Description
### Describe the usage question you have. Please include as many useful details as possible.
In my Flink process function, I receive serialized VectorSchemaRoot data which needs to be deserialized for further processing. As I need to operate on it row by row, I utilized the slice function. However, this approach can lead to an increase in direct memory usage which in turn reduces the heap memory space in Flink. Ultimately, this can result in an Out Of Memory (OOM) exception as the heap memory space becomes insufficient. However, if I serialize the sliced VectorSchemaRoot and pass it as a parameter to the downstream function, which then deserializes it again, there will be no more OOM issues.
```
public void processElement(I value, ProcessFunction.Context context, Collector collector) throws Exception {
if (this.writerHelper == null) {
initWriterHelper();
}
reader = new ArrowStreamReader(new ByteArrayInputStream((byte[]) value), ArrowUtil.rootAllocator);
try {
while (reader.loadNextBatch()) {
VectorSchemaRoot vsr = reader.getVectorSchemaRoot();
int rowCount = vsr.getRowCount();
for (int i = 0; i < rowCount; i++) {
//split to row
VectorSchemaRoot row = vsr.slice(i, 1);
// this.writerHelper.write(row); This approach can result in a memory leak, whereas the following method will not.
ByteArrayOutputStream out = new ByteArrayOutputStream();
ArrowStreamWriter writer =
new ArrowStreamWriter(row, null, Channels.newChannel(out));
writer.start();
writer.writeBatch();
this.writerHelper.write(out.toByteArray());
row.clear();
row.close();
}
vsr.clear();
vsr.close();
}
} catch (Exception ex) {
ex.printStackTrace();
} finally {
reader.close();
}
}```
### Component(s)
Java
Guide de contribution
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Piste de recherche
Commencez par l’exemple de processElement, en particulier VectorSchemaRoot.slice(i, 1) et les appels row.clear()/row.close(). Reproduisez l’augmentation de la mémoire directe lors de l’écriture de lignes découpées via writerHelper, puis comparez-la au chemin de sérialisation et de désérialisation. Le travail est considéré comme terminé lorsque le chemin des lignes découpées ne provoque plus l’augmentation de mémoire signalée ni OOM.
Rédigé par le modèle d'indexation à partir du texte de l'issue.
Évaluation
- Stack technique
- java
- Domaine
- data
- Type d'issue
- Bug
- Difficulté
- 4/5
- Temps estimé
- 3-5 jours
- Activité
- À l'abandon
- Clarté
- À clarifier
- Accessibilité débutants
- 30/100