Flowable 7.2.0: Node Affinity Hoards All Jobs – All Async Jobs Locked by Node 1 while only 8 are being processed

ROY · February 27, 2026, 3:34pm

Environment:

Flowable Version: 7.2.0
Cluster: 2 Nodes (8 CPUs each) sharing a single database.
Scenario: Parent Process A uses script tasks with Thread.sleep to stagger calls to Child Process B. Process B contains several script tasks that also Thread.sleep for 1 minute.
The Issue: Lack of load balancing. Node 1 locks every job created under its own LOCK_OWNER_ ID.

Technical Observations:

Job Acquisition: Even though Node 1 only has 8 CPUs and can only execute 8 script tasks concurrently, it sets itself as the LOCK_OWNER_ for every single job (40+ job) in the ACT_RU_JOB table immediately upon creation and for future jobs created from the same process.
Queue Capacity Ignored: I have set flowable.process.async-executor-thread-pool-queue-capacity=10 and flowable.process.async-executor.thread-pool-queue-size=10. I expected Node 1 to stop acquiring/locking once the 10 queue slots were full, but it continues to lock the entire burst of jobs.
Node 2 Idle: Because Node 1 has “kidnapped” the jobs by locking them, Node 2’s acquisition thread sees 0 available jobs and remains idle.
Task Configuration: All tasks are async=true and exclusive=false.

How can I force Flowable to distribute these “excess” locked jobs to Node 2 so the cluster is actually utilized?

Process A

This text will be hid<?xml version="1.0" encoding="UTF-8"?>

>> DEBUG: Thread '${threadName}' is freezing for 10 seconds..."

// This freezes the executor thread
Thread.sleep(10000)

println “>>> DEBUG: Thread ‘${threadName}’ is now awake!”]]>

<![CDATA[String threadName = Thread.currentThread().getName()
println “>>> DEBUG: Thread ‘${threadName}’ is freezing for 20 seconds…”

// This freezes the executor thread
Thread.sleep(20000)

println “>>> DEBUG: Thread ‘${threadName}’ is now awake!”]]>

<![CDATA[String threadName = Thread.currentThread().getName()
println “>>> DEBUG: Thread ‘${threadName}’ is freezing for 10 seconds…”

// This freezes the executor thread
Thread.sleep(10000)

println “>>> DEBUG: Thread ‘${threadName}’ is now awake!”]]>

<![CDATA[String threadName = Thread.currentThread().getName()
println “>>> DEBUG: Thread ‘${threadName}’ is freezing for 20 seconds…”

// This freezes the executor thread
Thread.sleep(20000)

println “>>> DEBUG: Thread ‘${threadName}’ is now awake!”]]>

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den

ROY · February 27, 2026, 3:35pm

adding process B here.

Process B

<?xml version="1.0" encoding="UTF-8"?> >> DEBUG: Thread '${threadName}' is freezing for 60 seconds..."

// This freezes the executor thread
Thread.sleep(60000)

println “>>> DEBUG: Thread ‘${threadName}’ is now awake!”]]>

<![CDATA[String threadName = Thread.currentThread().getName()
println “>>> DEBUG: Thread ‘${threadName}’ is freezing for 60 seconds…”

// This freezes the executor thread
Thread.sleep(60000)

println “>>> DEBUG: Thread ‘${threadName}’ is now awake!”]]>

<![CDATA[String threadName = Thread.currentThread().getName()
println “>>> DEBUG: Thread ‘${threadName}’ is freezing for 60 seconds…”

// This freezes the executor thread
Thread.sleep(60000)

println “>>> DEBUG: Thread ‘${threadName}’ is now awake!”]]>

<![CDATA[String threadName = Thread.currentThread().getName()
println “>>> DEBUG: Thread ‘${threadName}’ is freezing for 60 seconds…”

// This freezes the executor thread
Thread.sleep(60000)

println “>>> DEBUG: Thread ‘${threadName}’ is now awake!”]]>

<![CDATA[String threadName = Thread.currentThread().getName()
println “>>> DEBUG: Thread ‘${threadName}’ is freezing for 60 seconds…”

// This freezes the executor thread
Thread.sleep(60000)

println “>>> DEBUG: Thread ‘${threadName}’ is now awake!”]]>

<![CDATA[String threadName = Thread.currentThread().getName()
println “>>> DEBUG: Thread ‘${threadName}’ is freezing for 60 seconds…”

// This freezes the executor thread
Thread.sleep(60000)

println “>>> DEBUG: Thread ‘${threadName}’ is now awake!”]]>

<![CDATA[String threadName = Thread.currentThread().getName()
println “>>> DEBUG: Thread ‘${threadName}’ is freezing for 60 seconds…”

// This freezes the executor thread
Thread.sleep(60000)

println “>>> DEBUG: Thread ‘${threadName}’ is now awake!”]]>

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joram · March 4, 2026, 11:01am

The lockOwner indeed gets set optimistically (which in a good tuned system is faster), however if the queue is full, the DefaultAsyncJobExecutor#unacquireJobAfterRejection kicks in, which unlocks the job again.

This happens here:

protected boolean executeAsyncJob(final JobInfo job, Runnable runnable) {
    try {
        taskExecutor.execute(runnable);
        return true;

    } catch (RejectedExecutionException e) {
        sendRejectedEvent(job);
        unacquireJobAfterRejection(job);

        // Job queue full, returning false so (if wanted) the acquiring can be throttled
        return false;
    }
}

Did you have any customizations in this area that could influence this?

Sidenote : not that CPU’s don’t influence the number of threads available to the job executor, this is a different setting and does not need to related to CPU cores, as all realistic job logic has IO that would interrupt the current work on OS level.

ROY · March 4, 2026, 12:00pm

Hi @joram ,

i dont have any extra customization from my end.
I have confirmed that my properties file is being loaded because flowable.process.async.executor.lock-owner=flowable-node-01 is working correctly (I see the name in the LOCK_OWNER_ column).

However, despite setting:
flowable.process.async.executor.core-pool-size=5 flowable.process.async.executor.max-pool-size=10 flowable.process.async.executor.thread-pool-queue-size=10

My logs still show: Creating executor service with corePoolSize 8, maxPoolSize 8 and queue of size 100

Am i missing any parameter or using a wrong naming convention?

filiphr · March 4, 2026, 2:08pm

Are you using Spring Boot Starters? Can you share the logs where you are getting this?

ROY · March 4, 2026, 4:03pm

HI @filiphr ,

Yes, this is a fresh installation of the Flowable Rest application on a VM. Based on the startup logs, it is indeed using Spring Boot (v3.5.4) and the Flowable Spring Boot Starters.

Here are the relevant logs from catalina.out showing the initialization:

:: Flowable :: (v7.2.0) :: Spring Boot :: (v3.5.4)

2026-02-23T16:23:04.427+01:00 INFO 22554 — [flowable-rest-node1] [ main] o.flowable.rest.app.ServletInitializer : Starting ServletInitializer v7.2.0 using Java 21.0.10 with PID 22554 (/data/tomcat-11/webapps/flowable-rest/WEB-INF/classes started by root in /)
2026-02-23T16:23:04.429+01:00 INFO 22554 — [flowable-rest-node1] [ main] o.flowable.rest.app.ServletInitializer : No active profile set, falling back to 1 default profile: “default”
2026-02-23T16:23:05.823+01:00 INFO 22554 — [flowable-rest-node1] [ main] w.s.c.ServletWebServerApplicationContext : Root WebApplicationContext: initialization completed in 1100 ms
2026-02-23T16:23:06.147+01:00 INFO 22554 — [flowable-rest-node1] [ main] o.f.s.b.ProcessEngineAutoConfiguration : No deployment resources were found for autodeployment
2026-02-23T16:23:06.168+01:00 INFO 22554 — [flowable-rest-node1] [ main] o.f.c.e.i.a.DefaultAsyncTaskExecutor : Creating thread pool queue of size 100
2026-02-23T16:23:06.169+01:00 INFO 22554 — [flowable-rest-node1] [ main] o.f.c.e.i.a.DefaultAsyncTaskExecutor : Creating thread factory with naming pattern flowable-async-task-invoker-%d
2026-02-23T16:23:06.169+01:00 INFO 22554 — [flowable-rest-node1] [ main] o.f.c.e.i.a.DefaultAsyncTaskExecutor : Creating executor service with corePoolSize 8, maxPoolSize 8 and keepAliveTime 5000
2026-02-23T16:23:06.304+01:00 INFO 22554 — [flowable-rest-node1] [ main] o.f.s.b.c.CmmnEngineAutoConfiguration : No deployment resources were found for autodeployment

filiphr · March 6, 2026, 7:47pm

Hey @ROY,

Thanks for sharing the logs. What you are seeing is actually coming from the flowable.task-invoker which is in

github.com/flowable/flowable-engine

modules/flowable-spring-boot/flowable-spring-boot-starters/flowable-spring-boot-autoconfigure/src/main/java/org/flowable/spring/boot/FlowableJobConfiguration.java

11a1cf83a


      
              executor.setThreadNamePrefix("flowable-task-Executor-");
              executor.setAwaitTerminationSeconds(30);
              executor.setWaitForTasksToCompleteOnShutdown(true);
              executor.setAllowCoreThreadTimeOut(true);
              executor.initialize();
              return executor;
          }
          
          @Bean
          @ConfigurationProperties(prefix = "flowable.task-invoker")
          public AsyncTaskExecutorConfiguration flowableAsyncTaskInvokerTaskExecutorConfiguration() {
              AsyncTaskExecutorConfiguration configuration = new AsyncTaskExecutorConfiguration();
              configuration.setQueueSize(100);
              configuration.setThreadPoolNamingPattern("flowable-async-task-invoker-%d");
              return configuration;
          }
          
          @Bean(destroyMethod = "shutdown")
          @ConditionalOnMissingBean(name = "flowableAsyncTaskInvokerTaskExecutor")
          public AsyncTaskExecutor flowableAsyncTaskInvokerTaskExecutor(
                  @Qualifier("flowableAsyncTaskInvokerTaskExecutorConfiguration") AsyncTaskExecutorConfiguration executorConfiguration

This is what is used for something else, the FutureJavaDelegate.

The properties you are mentioning are defined in

github.com/flowable/flowable-engine

modules/flowable-spring-boot/flowable-spring-boot-starters/flowable-spring-boot-autoconfigure/src/main/java/org/flowable/spring/boot/ProcessEngineAutoConfiguration.java

11a1cf83a


      
          @Bean
          @ProcessAsyncHistory
          @ConfigurationProperties(prefix = "flowable.process.async-history.executor")
          @ConditionalOnProperty(prefix = "flowable.process", name = "async-history.enable")
          public AsyncJobExecutorConfiguration processAsyncHistoryExecutorConfiguration() {
              return new AsyncJobExecutorConfiguration();
          }

and this is what would be used to determine the thread pool for the async job execution.

Cheers,
Filip

ROY · March 9, 2026, 3:43pm

HI @filiphr ,

Thank you for the detailed breakdown of the task-invoker. I realize now I was looking at the wrong logs; I will ignore the task-invoker for now as my primary goal is resolving the load-sharing issue between Node 1 and Node 2.

I have tried your suggestion regarding the Async History Executor, and I have also double-checked my Async Job Executor (for ACT_RU_JOB) properties. Despite setting the following, Node 1 still ‘hoards’ all the jobs and Node 2 remains idle:

Async Job Executor Properties Tried:

flowable.process.async.executor.thread-pool-queue-size=10
flowable.process.async.executor.core-pool-size=5
flowable.process.async.executor.max-pool-size=10
flowable.process.async.executor.max-async-jobs-due-per-acquisition=1

Async History Executor Properties Tried (as per your suggestion):

flowable.process.async-history.executor.thread-pool-queue-size=9
flowable.process.async-history.executor.core-pool-size=9
flowable.process.async-history.executor.max-pool-size=9
flowable.process.async-history.executor.max-async-jobs-due-per-acquisition=1

The Result: Node 1 still locks every single job under its own LOCK_OWNER_ immediately. It processes only 8 concurrently, It doesnt use my properties file.

filiphr · March 9, 2026, 4:37pm

Hey @ROY,

I have not tried the processes you’ve shared. However, looking at your Async Job executor properties:

flowable.process.async.executor.thread-pool-queue-size=10
flowable.process.async.executor.core-pool-size=5
flowable.process.async.executor.max-pool-size=10
flowable.process.async.executor.max-async-jobs-due-per-acquisition=1

If we assume that you have started 30 jobs on Node 1 and each job blocks for 1 minutes. The following should happen:

5 jobs would start immediately
15 jobs would go in the queue - this would cause the pool size to increase and expand to 10 (the max-pool-size)
The remaining 10 jobs should be without a lock owner and should be picked up by the Node 2 async executor

Having written this, I might have understood what is causing this. In the out-of-the-box configuration from Open Source we are actually going to use the Spring Boot auto configured TaskExecutor. So the properties you are looking for should be:

spring.task.execution.pool.queue-capacity=10
spring.task.execution.pool.core-size=5
spring.task.execution.pool.max-size=10

With Spring Boot

flowable.process.async.executor.thread-pool-queue-size=10
flowable.process.async.executor.core-pool-size=5
flowable.process.async.executor.max-pool-size=10

are actually getting ignored.

Sorry, I mixed up things a bit. In our enterprise Spring Boot properties are exposing a bit more configuration options to more granularly configure the task executors for the different async executors.

The Spring Boot defaults are:

spring.task.execution.pool.queue-capacity=Integer.MAX_VALUE
spring.task.execution.pool.core-size=8
spring.task.execution.pool.max-size=Integer.MAX_VALUE

which actually means that it will hoard all jobs and there will only be 8 cores running, due to the queue capacity being unbounded the thread pool will never start increasing (it starts increasing once the queue is full).

ROY · March 10, 2026, 8:47am

HI @filiphr @joram

That was it! Using the spring.task.execution.pool.* properties instead of the flowable.process.async.executor.* properties fixed the issue immediately.

Because the default Spring queue-capacity was Integer.MAX_VALUE, Node 1 was indeed hoarding every job. Once I limited the Spring queue capacity, the unacquireJobAfterRejection logic triggered perfectly, and Node 2 started picking up the excess load.

As a followup topic, it would be better to update documents like Advanced · Flowable Open Source Documentation about how spring parameters are used.

Thank you again for helping me to understand this better.

Regards,
Roy

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