I have a use case where I have a set of items, DiagnosticRun
s, that are submitted to my cluster. I want to process them serially (to avoid conflicts). I am trying to use a Hazelcast Queue
protected by a Lock
to make sure the items are processed one at a time. Hazelcast is running in embedded mode in my cluster. If I register an ItemListener
with the Queue
, is it safe to call take()
on the Queue
from within the itemAdded()
method? For example:
@Component
public class DistributedQueueListener
{
public static final String DIAGNOSTICS_RUN_QUEUE_NAME = "diagnosticRun";
@Autowired
private HazelcastInstance hazelcast;
@Autowired
private ProductVersioningService productVersioningService;
private IQueue<DiagnosticRun> diagnosticRunQueue;
private ILock diagnosticRunLock;
private String diagnosticRunListenerId;
@PostConstruct
public void init()
{
diagnosticRunQueue = hazelcast.getQueue(DIAGNOSTICS_RUN_QUEUE_NAME);
diagnosticRunLock = hazelcast.getLock("diagnosticRunLock");
diagnosticRunListenerId = diagnosticRunQueue.addItemListener(new DiagnosticRunListener(), false);
}
@PreDestroy
public void stop()
{
diagnosticRunQueue.removeItemListener(diagnosticRunListenerId);
}
public class DiagnosticRunListener implements ItemListener<DiagnosticRun>
{
@Override
public void itemAdded(ItemEvent<diagnosticRun> item)
{
diagnosticRunLock.lock(5, TimeUnit.SECONDS);
try
{
DiagnosticRun diagnosticRun = diagnosticRunQueue.poll();
if(diagnosticRun != null)
{
productVersioningService.updateProductDeviceTable(diagnosticRun);
}
}
finally
{
diagnosticRunLock.unlock();
}
}
@Override
public void itemRemoved(ItemEvent<diagnosticRun> item)
{
}
}
}
I'm not sure whether it's threadsafe to call take()
on the Queue
from that location and thread.
If that is not allowed, I'll have to set up my own long-running loop to poll()
the Queue
. I'm not sure what's the best way to set up a long-running thread in a Spring Boot application. Assuming the method above does not work, would the below code be threadsafe? Or is there a better way to do this?
@Component
public class DistributedQueueListener
{
public static final String DIAGNOSTIC_RUN_QUEUE_NAME = "diagnosticRun";
@Autowired
private HazelcastInstance hazelcast;
@Autowired
private ProductVersioningService productVersioningService;
private IQueue<diagnosticRun> diagnosticRunQueue;
private ILock diagnosticRunLock;
private ExecutorService executorService;
@PostConstruct
public void init()
{
diagnosticRunQueue = hazelcast.getQueue(DIAGNOSTIC_RUN_QUEUE_NAME);
diagnosticRunLock = hazelcast.getLock("diagnosticRunLock");
executorService = Executors.newFixedThreadPool(1);
executorService.submit(() -> listenToDiagnosticRuns());
}
@PreDestroy
public void stop()
{
executorService.shutdown();
}
private void listenToDiagnosticRuns()
{
while(!executorService.isShutdown())
{
diagnosticRunLock.lock(5, TimeUnit.SECONDS);
try
{
DiagnosticRun diagnosticRun = diagnosticRunQueue.poll(1L, TimeUnit.SECONDS);
productVersioningService.updateProductDeviceTable(diagnosticRun);
}
catch(InterruptedException e)
{
logger.error("Interrupted polling diagnosticRun queue", e);
}
finally
{
diagnosticRunLock.unlock();
}
}
}
}
First I'll qualify that I'm not exactly an expert on which threads these are executed on and when so some may disagree but here're my thoughts on this so anyone please chime in as this looks to be an interesting case. Your first solution mixes the Hazelcast event threading with it's operation threading. In fact you're triggering three operations to be invoked as a result of the single event. If you put some arbitrary latency in your call to updateProcductDeviceTable, you'll see that eventually, it will slow down but resume up again after some time. This will cause your local event queue to pile up while operations are invoked. You could put everything you're doing in a separate thread which you can "wake" up on #itemAdded or if you can afford to have a bit of latency, do what you're doing on your second solution. I would, however, make a couple changes in
listenToDiagnosticsRuns() method:
private void listenToDiagnosticRuns()
{
while(!executorService.isShutdown())
{
if(diagnosticRunQueue.peek() != null)
{
diagnosticRunLock.lock(5, TimeUnit.SECONDS);
try
{
DiagnosticRun diagnosticRun = diagnosticRunQueue.poll(1L, TimeUnit.SECONDS);
if(diagnosticRun != null)
{
productVersioningService.updateProductDeviceTable(diagnosticRun);
}
}
catch(InterruptedException e)
{
logger.error("Interrupted polling diagnosticRun queue", e);
}
finally
{
diagnosticRunLock.unlock();
}
} // peek != null
else
{
try
{
Thread.sleep(5000);
}
catch (InterruptedException e)
{
//do nothing
}
}
}
}