Github user viirya commented on a diff in the pull request: https://github.com/apache/spark/pull/16603#discussion_r97791322 --- Diff: core/src/main/java/org/apache/spark/memory/TaskMemoryManager.java --- @@ -144,8 +164,24 @@ public long acquireExecutionMemory(long required, MemoryConsumer consumer) { // spilling, avoid to have too many spilled files. if (got < required) { // Call spill() on other consumers to release memory + // Sort the consumers according their memory usage. So we avoid spilling the same consumer + // which is just spilled in last few times and re-spilling on it will produce many small + // spill files. + List<MemoryConsumer> sortedList = new ArrayList<>(consumers.size()); for (MemoryConsumer c: consumers) { if (c != consumer && c.getUsed() > 0 && c.getMode() == mode) { + sortedList.add(c); + } + } + Collections.sort(sortedList, new ConsumerComparator()); + for (int listIndex = 0; listIndex < sortedList.size(); listIndex++) { + MemoryConsumer c = sortedList.get(listIndex); + // Try to only spill on the consumer which has the required size of memory. + // As the consumers are sorted in descending order, if the next consumer doesn't have + // the required memory, then we need to spill the current consumer at least. + boolean doSpill = (listIndex + 1) == sortedList.size() || + sortedList.get(listIndex + 1).getUsed() < (required - got); + if (doSpill) { --- End diff -- @mridulm Ok. I see. Thanks. This is a problem indeed. I try to fix this with TreeMap in latest change. May you take a look?
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