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jBPM5: Bringing more
Power
jBPM6 (API):
to your Business
Updates
Processes
Kris Verlaenen
jBPM Project Lead
September, 2013
1
vs jBPM5 API?
• 2 important interfaces
– KieSession (ProcessRuntime)
– TaskService

• kjars, mavenized
– Now also contains forms, data model, etc.

• RuntimeManager
• jBPM Services (CDI)
• Remote (REST / JMS) API
Session Management
• Runtime Manager
– Local KieSession, local TaskService
• Hides setup complexity

– Manages sessions
• Singleton session
• Session per request
• Session per process instance

– Disposal
Session Management Example
RuntimeManager manager =
RuntimeManagerFactory.Factory.get()
.newPerProcessInstanceRuntimeManager(environment);
RuntimeEngine runtime =
manager.getRuntimeEngine(
ProcessInstanceIdContext.get(id));
KieSession ksession = runtime.getKieSession();
// do something here, e.g.
ksession.startProcess(“org.jbpm.hello”);
manager.disposeRuntimeEngine(engine);
manager.close();
Example1: Singleton session on multiple nodes
Node1
Runtime
Manager

Kie
Session
Task
Service

Request1
Request2

PrInst1
PrInst2

Request3

Node2
Runtime
Manager

Kie
Session
Task
Service
Example2: Session per process instance on multiple nodes
Kie
Session
Runtime
Manager

Task
Service

Node1

Kie
Session
Task
Service

Request1
Request2

PrInst1
PrInst2

Request3

Node2
Runtime
Manager

Kie
Session
Task
Service
jBPM Services (CDI)
• Inject services into your CDI
environment
@Inject @Singleton RuntimeManager
singletonManager;
@Inject TaskService taskService;

• Need to configure (@Produces) EMF,
environment, usergroupcallback
Timer Management
• Shared Timer Service
– One timer service per RuntimeManager,
manages timers of all sessions
– Restores sessions if timer fires
• No need anymore to keep sessions alive

• Using Quartz
– Timers persisted in database
– Clustering
• Timer will only fire on one and exactly one node
Clustering
• Clustering for
– High availability
– Load balancing

• Because
– All data always persisted in database
– Any node in the cluster can execute any
request
– Distributed timers
Clustering
Clustering
• UberFire provides VFS clustering, using
– Apache Zookeeper
(distributed management)

– Apache Helix
(cluster
management)
Clustering
• jBPM Execution Server manages
runtime data (RuntimeManager)
– Database for synchronization
• Session mgmt
• Process instance mgmt
• Task mgmt

– Quartz for distributed timers
Execution Server
• RuntimeManager, TaskService (and
much more)
• Exposed through CDI
• Remoting
– REST, JMS

• Clustered deployment
• Part of kie-wb
kjar Approach
• Execution server can load different
kbases
– One runtime manager per deployment
– Configure deployments
Remoting
• KieSession and TaskService
– Possibly more later
– Uses RuntimeManager

• Using REST or JMS
• Remote client using existing interfaces
KieSession +
TaskService API

RemoteRuntime
Manager

Other REST
Client

RuntimeManager

Command

Kie
Session

Task
Service

R
E
S
T

J
M
S

Task
Service
REST API
http://server.address:port/{application-id}/rest/
runtime
{id: [a-zA-Z0-9-]+}
// deploymentId
process
{id: [a-zA-Z0-9-]+}
start
* start process [POST]
instance
{id: d}
* process instance details [GET]
signal
* signal event [POST]
abort
* abort process instance [POST]
signal
{id: [a-zA-Z0-9-]+}
* signal event [POST]
workitem
{id: d}
complete
* complete work item [POST]
abort
* abort work item [POST]
execute
* execute the given command [POST]
task
{id: d+}
* task details [GET]
activate
* activate task
claim
* claim task [POST]
// etc..
execute
* execute the given command [POST]
query
* task query
Command Serialization
• JAXB serialization of commands
– e.g. Start task
<command­message>
  <deploymentId>test</deploymentId>
  <ver>1</ver>
  <start­task>
    <taskId>1</taskId>
    <userId>krisv</userId>
  </start­task>
</command­message>
Result Serialization
• Primitives
• Simple data (JAXB)
• Remote wrappers for complex data
– Process Instance
– Task
REST Client
• Reuse existing interfaces
– KieSession, TaskService,
RuntimeManager

• Factory for creating client
• Uses REST execute(Command)
operation
– Serialized command messages
REST Client Example
RuntimeEngine runtimeEngine =
new RemoteRestSessionFactory(
"org.jbpm:HR:1.0” http://localhost:8080/jbpm-console",
AuthenticationType.BASIC, "krisv", "krisv")
.newRuntimeEngine();
engine.getKieSession().startProcess("org.jbpm.humantask");
engine.getTaskService().start(1, "salaboy");
Service Task Handlers
• New out-of-the-box handlers for
– WS
– REST

• Asynchronous handler using jobs
– AsyncWorkItemHandler
• Reusable
• Fail-safe
• Retries

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jBPM6 Updates

  • 1. jBPM5: Bringing more Power jBPM6 (API): to your Business Updates Processes Kris Verlaenen jBPM Project Lead September, 2013 1
  • 2. vs jBPM5 API? • 2 important interfaces – KieSession (ProcessRuntime) – TaskService • kjars, mavenized – Now also contains forms, data model, etc. • RuntimeManager • jBPM Services (CDI) • Remote (REST / JMS) API
  • 3. Session Management • Runtime Manager – Local KieSession, local TaskService • Hides setup complexity – Manages sessions • Singleton session • Session per request • Session per process instance – Disposal
  • 4. Session Management Example RuntimeManager manager = RuntimeManagerFactory.Factory.get() .newPerProcessInstanceRuntimeManager(environment); RuntimeEngine runtime = manager.getRuntimeEngine( ProcessInstanceIdContext.get(id)); KieSession ksession = runtime.getKieSession(); // do something here, e.g. ksession.startProcess(“org.jbpm.hello”); manager.disposeRuntimeEngine(engine); manager.close();
  • 5. Example1: Singleton session on multiple nodes Node1 Runtime Manager Kie Session Task Service Request1 Request2 PrInst1 PrInst2 Request3 Node2 Runtime Manager Kie Session Task Service
  • 6. Example2: Session per process instance on multiple nodes Kie Session Runtime Manager Task Service Node1 Kie Session Task Service Request1 Request2 PrInst1 PrInst2 Request3 Node2 Runtime Manager Kie Session Task Service
  • 7. jBPM Services (CDI) • Inject services into your CDI environment @Inject @Singleton RuntimeManager singletonManager; @Inject TaskService taskService; • Need to configure (@Produces) EMF, environment, usergroupcallback
  • 8. Timer Management • Shared Timer Service – One timer service per RuntimeManager, manages timers of all sessions – Restores sessions if timer fires • No need anymore to keep sessions alive • Using Quartz – Timers persisted in database – Clustering • Timer will only fire on one and exactly one node
  • 9. Clustering • Clustering for – High availability – Load balancing • Because – All data always persisted in database – Any node in the cluster can execute any request – Distributed timers
  • 11. Clustering • UberFire provides VFS clustering, using – Apache Zookeeper (distributed management) – Apache Helix (cluster management)
  • 12. Clustering • jBPM Execution Server manages runtime data (RuntimeManager) – Database for synchronization • Session mgmt • Process instance mgmt • Task mgmt – Quartz for distributed timers
  • 13. Execution Server • RuntimeManager, TaskService (and much more) • Exposed through CDI • Remoting – REST, JMS • Clustered deployment • Part of kie-wb
  • 14. kjar Approach • Execution server can load different kbases – One runtime manager per deployment – Configure deployments
  • 15. Remoting • KieSession and TaskService – Possibly more later – Uses RuntimeManager • Using REST or JMS • Remote client using existing interfaces
  • 16. KieSession + TaskService API RemoteRuntime Manager Other REST Client RuntimeManager Command Kie Session Task Service R E S T J M S Task Service
  • 17. REST API http://server.address:port/{application-id}/rest/ runtime {id: [a-zA-Z0-9-]+} // deploymentId process {id: [a-zA-Z0-9-]+} start * start process [POST] instance {id: d} * process instance details [GET] signal * signal event [POST] abort * abort process instance [POST] signal {id: [a-zA-Z0-9-]+} * signal event [POST] workitem {id: d} complete * complete work item [POST] abort * abort work item [POST] execute * execute the given command [POST] task {id: d+} * task details [GET] activate * activate task claim * claim task [POST] // etc.. execute * execute the given command [POST] query * task query
  • 18. Command Serialization • JAXB serialization of commands – e.g. Start task <command­message>   <deploymentId>test</deploymentId>   <ver>1</ver>   <start­task>     <taskId>1</taskId>     <userId>krisv</userId>   </start­task> </command­message>
  • 19. Result Serialization • Primitives • Simple data (JAXB) • Remote wrappers for complex data – Process Instance – Task
  • 20. REST Client • Reuse existing interfaces – KieSession, TaskService, RuntimeManager • Factory for creating client • Uses REST execute(Command) operation – Serialized command messages
  • 21. REST Client Example RuntimeEngine runtimeEngine = new RemoteRestSessionFactory( "org.jbpm:HR:1.0” http://localhost:8080/jbpm-console", AuthenticationType.BASIC, "krisv", "krisv") .newRuntimeEngine(); engine.getKieSession().startProcess("org.jbpm.humantask"); engine.getTaskService().start(1, "salaboy");
  • 22. Service Task Handlers • New out-of-the-box handlers for – WS – REST • Asynchronous handler using jobs – AsyncWorkItemHandler • Reusable • Fail-safe • Retries