Github user viirya commented on a diff in the pull request:

    https://github.com/apache/spark/pull/16603#discussion_r97908933
  
    --- Diff: core/src/main/java/org/apache/spark/memory/TaskMemoryManager.java 
---
    @@ -144,23 +152,49 @@ 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.
    +        sortedConsumers.clear();
             for (MemoryConsumer c: consumers) {
               if (c != consumer && c.getUsed() > 0 && c.getMode() == mode) {
    -            try {
    -              long released = c.spill(required - got, consumer);
    -              if (released > 0) {
    -                logger.debug("Task {} released {} from {} for {}", 
taskAttemptId,
    -                  Utils.bytesToString(released), c, consumer);
    -                got += memoryManager.acquireExecutionMemory(required - 
got, taskAttemptId, mode);
    -                if (got >= required) {
    -                  break;
    -                }
    +            Long key = c.getUsed();
    +            // If there is existing consumer using the same amount of 
memory,
    +            // increasing the key.
    +            while (sortedConsumers.containsKey(key)) {
    +              key += 1;
    +            }
    +            sortedConsumers.put(key, c);
    --- End diff --
    
    ok.


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org

Reply via email to