DadanielZ commented on a change in pull request #1890: HADOOP-16854 Fix to
prevent OutOfMemoryException and Make the threadpool and bytebuffer pool common
across all AbfsOutputStream instances
URL: https://github.com/apache/hadoop/pull/1890#discussion_r393387356
##########
File path:
hadoop-tools/hadoop-azure/src/main/java/org/apache/hadoop/fs/azurebfs/services/AbfsOutputStream.java
##########
@@ -285,14 +311,22 @@ private synchronized void writeCurrentBufferToService()
throws IOException {
final byte[] bytes = buffer;
final int bytesLength = bufferIndex;
- buffer = byteBufferPool.getBuffer(false, bufferSize).array();
bufferIndex = 0;
final long offset = position;
position += bytesLength;
- if (threadExecutor.getQueue().size() >= maxConcurrentRequestCount * 2) {
+ if (Runtime.getRuntime().freeMemory() < MIN_MEMORY_THRESHOLD
+ && buffersToBeReturned.get() > 0) {
+ LOG.debug("Low memory");
Review comment:
what if` Runtime.getRuntime().freeMemory() < MIN_MEMORY_THRESHOLD` but
`buffersToBeReturned.get()` is `0`?
Can we make the LOG more meaningful like "Low memory, less than 100 MB is
available, the existing read tasks consumes 2048 MB, waiting for completion."
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