rmatharu opened a new pull request #1412:
URL: https://github.com/apache/samza/pull/1412


   Problem: 
   In both StreamAppender for log4j1 and log4j2 a blocking queue is used to 
coordinate between the append()-ing threads and a single thread send()-ing to 
Kafka.
   This is a bounded, blocking, lock-synchronized queue.
   To avoid deadlock scenarios (see SAMZA-1537), the append()-ing threads have 
a timeout of 2 seconds, after which the log message is discarded and the queue 
is drained. 
   This means in case of message bursts, threads calling append() may block for 
upto 2 seconds, and may continually be stuck in this pattern, leading to 
processing stalls and lowered throughput. 
   
   Solutions for Log4j2 
   Solution 1. Enable async logger in log4j2, since they are supported and 
provided in log4j2.https://logging.apache.org/log4j/2.x/manual/async.html.
   In using this capability, the blocking-queue in StreamAppender is not 
required because the logger itself will be asynchronous, and so append() 
threads can directly call systemProducer.send(). 
   However, if async loggers are not used then this queue based mechanism, to 
give the append()-ing threads an "async" illusion, is required.
   
   Solution 2. Continue using the blocking bounded lock-based queue, but make 
the queue size and timeout configurable. Users can then tune this to account 
for message bursts.
   
   Solution 3. Move to use a lock-less queue, e.g., ConcurrentLinkedQueue 
(unbounded) or 
   implement a bounded lock-less queue, or use [open-source 
implementations|https://stackoverflow.com/questions/20890554/lock-free-circular-array].
   Append()-ing threads will no longer need to block or timeout. However the 
caller may busy-wait or need a fixed-rate or fixed-sleep-time to avoid busy 
waits, since a lock-less queue is non blocking. 
   It uses CAS operations. 
   For log4j2, we will adopt Solution 1.
   
   **Solutions for Log4j1**
   Solution 1. Deprecate – log4j1 is not supported. 
   Solution 2. Similar to Solution 2 above.
   Solution 3. Similar to Solution 3 above.
   For log4j1, we will adopt Solution 1 – won't fix.


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