Managing and monitoring KIE Server

Red Hat Process Automation Manager 7.8

Red Hat Customer Content Services

Abstract

This document explains how install, configure, and performance tune Red Hat Process Automation Manager 7.8.

Preface

As a systems administrator, you can install, configure, and upgrade Red Hat Process Automation Manager for production environments, quickly and easily troubleshoot system failures, and ensure that systems are running optimally.

Prerequisites

Chapter 1. Red Hat Process Automation Manager components

Red Hat Process Automation Manager is made up of Business Central and KIE Server.

  • Business Central is the graphical user interface where you create and manage business rules. You can install Business Central in a Red Hat JBoss EAP instance or on the Red Hat OpenShift Container Platform (OpenShift).

    Business Central is also available as a standalone JAR file. You can use the Business Central standalone JAR file to run Business Central without needing to deploy it to an application server.

  • KIE Server is the server where rules and other artifacts are executed. It is used to instantiate and execute rules and solve planning problems. You can install KIE Server in a Red Hat JBoss EAP instance, on OpenShift, in an Oracle WebLogic server instance, in an IBM WebSphere Application Server instance, or as a part of Spring Boot application.

    You can configure KIE Server to run in managed or unmanaged mode. If KIE Server is unmanaged, you must manually create and maintain KIE containers (deployment units). A KIE container is a specific version of a project. If KIE Server is managed, the Process Automation Manager controller manages the KIE Server configuration and you interact with the Process Automation Manager controller to create and maintain KIE containers.

Chapter 2. System integration with Maven

Red Hat Process Automation Manager is designed to be used with Red Hat JBoss Middleware Maven Repository and Maven Central repository as dependency sources. Ensure that both the dependencies are available for projects builds.

Ensure that your project depends on specific versions of an artifact. LATEST or RELEASE are commonly used to specify and manage dependency versions in your application.

  • LATEST refers to the latest deployed (snapshot) version of an artifact.
  • RELEASE refers to the last non-snapshot version release in the repository.

By using LATEST or RELEASE, you do not have to update version numbers when a new release of a third-party library is released, however, you lose control over your build being affected by a software release.

2.1. Preemptive authentication for local projects

If your environment does not have access to the internet, set up an in-house Nexus and use it instead of Maven Central or other public repositories. To import JARs from the remote Maven repository of Red Hat Process Automation Manager server to a local Maven project, turn on pre-emptive authentication for the repository server. You can do this by configuring authentication for guvnor-m2-repo in the pom.xml file as shown below:

<server>
  <id>guvnor-m2-repo</id>
  <username>admin</username>
  <password>admin</password>
  <configuration>
    <wagonProvider>httpclient</wagonProvider>
    	<httpConfiguration>
      	<all>
      	   <usePreemptive>true</usePreemptive>
      	</all>
    	</httpConfiguration>
  </configuration>
</server>

Alternatively, you can set Authorization HTTP header with Base64 encoded credentials:

<server>
  <id>guvnor-m2-repo</id>
  <configuration>
  	<httpHeaders>
  	   <property>
    	    <name>Authorization</name>
    	    <!-- Base64-encoded "admin:admin" -->
    	    <value>Basic YWRtaW46YWRtaW4=</value>
  	   </property>
    </httpHeaders>
  </configuration>
</server>

2.2. Duplicate GAV detection in Business Central

In Business Central, all Maven repositories are checked for any duplicated GroupId, ArtifactId, and Version (GAV) values in a project. If a GAV duplicate exists, the performed operation is canceled.

Note

Duplicate GAV detection is disabled for projects in Development Mode. To enable duplicate GAV detection in Business Central, go to project SettingsGeneral SettingsVersion and toggle the Development Mode option to OFF (if applicable).

Duplicate GAV detection is executed every time you perform the following operations:

  • Save a project definition for the project.
  • Save the pom.xml file.
  • Install, build, or deploy a project.

The following Maven repositories are checked for duplicate GAVs:

  • Repositories specified in the <repositories> and <distributionManagement> elements of the pom.xml file.
  • Repositories specified in the Maven settings.xml configuration file.

2.3. Managing duplicate GAV detection settings in Business Central

Business Central users with the admin role can modify the list of repositories that are checked for duplicate GroupId, ArtifactId, and Version (GAV) values for a project.

Note

Duplicate GAV detection is disabled for projects in Development Mode. To enable duplicate GAV detection in Business Central, go to project SettingsGeneral SettingsVersion and toggle the Development Mode option to OFF (if applicable).

Procedure

  1. In Business Central, go to MenuDesignProjects and click the project name.
  2. Click the project Settings tab and then click Validation to open the list of repositories.
  3. Select or clear any of the listed repository options to enable or disable duplicate GAV detection.

    In the future, duplicate GAVs will be reported for only the repositories you have enabled for validation.

    Note

    To disable this feature, set the org.guvnor.project.gav.check.disabled system property to true for Business Central at system startup:

    $ ~/EAP_HOME/bin/standalone.sh -c standalone-full.xml
    -Dorg.guvnor.project.gav.check.disabled=true

Chapter 3. Applying patch updates and minor release upgrades to Red Hat Process Automation Manager

Automated update tools are often provided with both patch updates and new minor versions of Red Hat Process Automation Manager to facilitate updating certain components of Red Hat Process Automation Manager, such as Business Central, KIE Server, and the headless Process Automation Manager controller. Other Red Hat Process Automation Manager artifacts, such as the decision engine and standalone Business Central, are released as new artifacts with each minor release and you must re-install them to apply the update.

You can use the same automated update tool to apply both patch updates and minor release upgrades to Red Hat Process Automation Manager 7.8. Patch updates of Red Hat Process Automation Manager, such as an update from version 7.8 to 7.8.1, include the latest security updates and bug fixes. Minor release upgrades of Red Hat Process Automation Manager, such as an upgrade from version 7.7.x to 7.8, include enhancements, security updates, and bug fixes.

Note

Only updates for Red Hat Process Automation Manager are included in Red Hat Process Automation Manager update tools. Updates to Red Hat JBoss EAP must be applied using Red Hat JBoss EAP patch distributions. For more information about Red Hat JBoss EAP patching, see the Red Hat JBoss EAP patching and upgrading guide.

Prerequisites

  • Your Red Hat Process Automation Manager and KIE Server instances are not running. Do not apply updates while you are running an instance of Red Hat Process Automation Manager or KIE Server.

Procedure

  1. Navigate to the Software Downloads page in the Red Hat Customer Portal (login required), and select the product and version from the drop-down options.

    If you are upgrading to a new minor release of Red Hat Process Automation Manager, such as an upgrade from version 7.7.x to 7.8, first apply the latest patch update to your current version of Red Hat Process Automation Manager and then follow this procedure again to upgrade to the new minor release.

  2. Click Patches, download the Red Hat Process Automation Manager [VERSION] Update Tool, and extract the downloaded rhpam-$VERSION-update.zip file to a temporary directory.

    This update tool automates the update of certain components of Red Hat Process Automation Manager, such as Business Central, KIE Server, and the headless Process Automation Manager controller. Use this update tool first to apply updates and then install any other updates or new release artifacts that are relevant to your Red Hat Process Automation Manager distribution.

  3. If you want to preserve any files from being updated by the update tool, navigate to the extracted rhpam-$VERSION-update folder, open the blacklist.txt file, and add the relative paths to the files that you do not want to be updated.

    When a file is listed in the blacklist.txt file, the update script does not replace the file with the new version but instead leaves the file in place and in the same location adds the new version with a .new suffix. If you blacklist files that are no longer being distributed, the update tool creates an empty marker file with a .removed suffix. You can then choose to retain, merge, or delete these new files manually.

    Example files to be excluded in blacklist.txt file:

    WEB-INF/web.xml  // Custom file
    styles/base.css  // Obsolete custom file kept for record

    The contents of the blacklisted file directories after the update:

    $ ls WEB-INF
    web.xml web.xml.new
    $ ls styles
    base.css base.css.removed
  4. In your command terminal, navigate to the temporary directory where you extracted the rhpam-$VERSION-update.zip file and run the apply-updates script in the following format:

    Important

    Make sure that your Red Hat Process Automation Manager and KIE Server instances are not running before you apply updates. Do not apply updates while you are running an instance of Red Hat Process Automation Manager or KIE Server.

    On Linux or Unix-based systems:

    $ ./apply-updates.sh $DISTRO_PATH $DISTRO_TYPE

    On Windows:

    $ .\apply-updates.bat $DISTRO_PATH $DISTRO_TYPE

    The $DISTRO_PATH portion is the path to the relevant distribution directory and the $DISTRO_TYPE portion is the type of distribution that you are updating with this update.

    The following distribution types are supported in Red Hat Process Automation Manager update tool:

    • rhpam-business-central-eap7-deployable: Updates Business Central (business-central.war)
    • rhpam-kie-server-ee8: Updates KIE Server (kie-server.war)

      Note

      The update tool will update Red Hat JBoss EAP EE7 to Red Hat JBoss EAP EE8.

    • rhpam-kie-server-jws: Updates KIE Server on Red Hat JBoss Web Server (kie-server.war)
    • rhpam-controller-ee7: Updates the headless Process Automation Manager controller (controller.war)
    • rhpam-controller-jws: Updates the headless Process Automation Manager controller on Red Hat JBoss Web Server (controller.war)

      Example update to Business Central and KIE Server for a full Red Hat Process Automation Manager distribution on Red Hat JBoss EAP:

      ./apply-updates.sh ~EAP_HOME/standalone/deployments/business-central.war rhpam-business-central-eap7-deployable
      
      ./apply-updates.sh ~EAP_HOME/standalone/deployments/kie-server.war rhpam-kie-server-ee8

      Example update to headless Process Automation Manager controller, if used:

      ./apply-updates.sh ~EAP_HOME/standalone/deployments/controller.war rhpam-controller-ee7

      The update script creates a backup folder in the extracted rhpam-$VERSION-update folder with a copy of the specified distribution, and then proceeds with the update.

  5. After the update tool completes, return to the Software Downloads page of the Red Hat Customer Portal where you downloaded the update tool and install any other updates or new release artifacts that are relevant to your Red Hat Process Automation Manager distribution.

    For files that already exist in your Red Hat Process Automation Manager distribution, such as .jar files for the decision engine or other add-ons, replace the existing version of the file with the new version from the Red Hat Customer Portal.

  6. If you use the standalone Red Hat Process Automation Manager 7.8.0 Maven Repository artifact (rhpam-7.8.0-maven-repository.zip), such as in air-gap environments, download Red Hat Process Automation Manager 7.8.x Maven Repository and extract the downloaded rhpam-7.8.x-maven-repository.zip file to your existing ~/maven-repository directory to update the relevant contents.

    Example Maven repository update:

    $ unzip -o rhpam-7.8.x-maven-repository.zip 'rhba-7.8.1.GA-maven-repository/maven-repository/*' -d /tmp/rhbaMavenRepoUpdate
    
    $ mv /tmp/rhbaMavenRepoUpdate/rhba-7.8.0.GA-maven-repository/maven-repository/ $REPO_PATH/
    Note

    You can remove the /tmp/rhbaMavenRepoUpdate folder after you complete the update.

  7. After you finish applying all relevant updates, start Red Hat Process Automation Manager and KIE Server and log in to Business Central.
  8. Verify that all project data is present and accurate in Business Central, and in the top-right corner of the Business Central window, click your profile name and click About to verify the updated product version number.

    If you encounter errors or notice any missing data in Business Central, you can restore the contents in the backup folder within the rhpam-$VERSION-update folder to revert the update tool changes. You can also re-install the relevant release artifacts from your previous version of Red Hat Process Automation Manager in the Red Hat Customer Portal. After restoring your previous distribution, you can try again to run the update.

Chapter 4. Configuring and starting KIE Server

You can configure your KIE Server location, user name, password, and other related properties by defining the necessary configurations when you start KIE Server.

Procedure

Navigate to the Red Hat Process Automation Manager 7.8 bin directory and start the new KIE Server with the following properties. Adjust the specific properties according to your environment.

$ ~/EAP_HOME/bin/standalone.sh --server-config=standalone-full.xml 1
-Dorg.kie.server.id=myserver 2
-Dorg.kie.server.user=kie_server_username 3
-Dorg.kie.server.pwd=kie_server_password 4
-Dorg.kie.server.controller=http://localhost:8080/business-central/rest/controller 5
-Dorg.kie.server.controller.user=controller_username 6
-Dorg.kie.server.controller.pwd=controller_password 7
-Dorg.kie.server.location=http://localhost:8080/kie-server/services/rest/server 8
-Dorg.kie.server.persistence.dialect=org.hibernate.dialect.PostgreSQLDialect 9
-Dorg.kie.server.persistence.ds=java:jboss/datasources/psjbpmDS 10
1
Start command with standalone-full.xml server profile
2
Server ID that must match the server configuration name defined in Business Central
3
User name to connect with KIE Server from the Process Automation Manager controller
4
Password to connect with KIE Server from the Process Automation Manager controller
5
Process Automation Manager controller location, Business Central URL with /rest/controller suffix
6
User name to connect to the Process Automation Manager controller REST API
7
Password to connect to the Process Automation Manager controller REST API
8
KIE Server location (on the same instance as Business Central in this example)
9
Hibernate dialect to be used
10
JNDI name of the data source used for your previous Red Hat JBoss BPM Suite database
Note

If Business Central and KIE Server are installed on separate application server instances (Red Hat JBoss EAP or other), use a separate port for the KIE Server location to avoid port conflicts with Business Central. If a separate KIE Server port has not already been configured, you can add a port offset and adjust the KIE Server port value accordingly in the KIE Server properties.

Example:

-Djboss.socket.binding.port-offset=150
-Dorg.kie.server.location=http://localhost:8230/kie-server/services/rest/server

If the Business Central port is 8080, as in this example, then the KIE Server port, with a defined offset of 150, is 8230.

KIE Server connects to the new Business Central and collects the list of deployment units (KIE containers) to be deployed.

Note

When you use a class inside a dependency JAR file to access KIE Server from KIE Server client, you get the ConversionException and ForbiddenClassException in Business Central. To avoid generating these exceptions in Business Central, do one of the following:

  • If the exceptions are generated on the client-side, add following system property to the kie-server client:
System.setProperty("org.kie.server.xstream.enabled.packages", "org.example.**");
  • If the exceptions are generated on the server-side, open standalone-full.xml from the Red Hat Process Automation Manager installation directory, set the following property under the <system-properties> tag:
<property name="org.kie.server.xstream.enabled.packages" value="org.example.**"/>
  • Set the following JVM property:
-Dorg.kie.server.xstream.enabled.packages=org.example.**

It is expected that you do not configure the classes that exists in KJAR using these system property. Ensure that only known classes are used in the system property to avoid any vulnerabilities.

The org.example is an example package, you can define any package that you want to use. You can specify multiple packages separated by comma , for example, org.example1.* * , org.example2.* * , org.example3.* *.

You can also add specific classes , for example, org.example1.Mydata1, org.example2.Mydata2.

Chapter 5. Configuring JDBC data sources for KIE Server

A data source is an object that enables a Java Database Connectivity (JDBC) client, such as an application server, to establish a connection with a database. Applications look up the data source on the Java Naming and Directory Interface (JNDI) tree or in the local application context and request a database connection to retrieve data. You must configure data sources for KIE Server to ensure proper data exchange between the servers and the designated database.

Note

For production environments, specify an actual data source. Do not use the example data source in production environments.

Prerequisites

  • The JDBC providers that you want to use to create database connections are configured on all servers on which you want to deploy KIE Server, as described in the "Creating Datasources" and "JDBC Drivers" sections of the Red Hat JBoss Enterprise Application Server Configuration Guide.
  • The Red Hat Process Automation Manager 7.8.0 Add Ons (rhpam-7.8.0-add-ons.zip) file is downloaded from the Software Downloads page in the Red Hat Customer Portal.

Procedure

  1. Complete the following steps to prepare your database:

    1. Extract rhpam-7.8.0-add-ons.zip in a temporary directory, for example TEMP_DIR.
    2. Extract TEMP_DIR/rhpam-7.8.0-migration-tool.zip.
    3. Change your current directory to the TEMP_DIR/rhpam-7.8.0-migration-tool/ddl-scripts directory. This directory contains DDL scripts for several database types.
    4. Import the DDL script for your database type into the database that you want to use, for example:

      psql jbpm < /ddl-scripts/postgresql/postgresql-jbpm-schema.sql
  2. Open EAP_HOME/standalone/configuration/standalone-full.xml in a text editor and locate the <system-properties> tag.
  3. Add the following properties to the <system-properties> tag where <DATASOURCE> is the JNDI name of your data source and <HIBERNATE_DIALECT> is the hibernate dialect for your database.

    Note

    The default value of the org.kie.server.persistence.ds property is java:jboss/datasources/ExampleDS. The default value of the org.kie.server.persistence.dialect property is org.hibernate.dialect.H2Dialect.

    <property name="org.kie.server.persistence.ds" value="<DATASOURCE>"/>
    <property name="org.kie.server.persistence.dialect" value="<HIBERNATE_DIALECT>"/>

    The following example shows how to configure a datasource for the PostgreSQL hibernate dialect:

    <system-properties>
        <property name="org.kie.server.repo" value="${jboss.server.data.dir}"/>
        <property name="org.kie.example" value="true"/>
        <property name="org.jbpm.designer.perspective" value="full"/>
        <property name="designerdataobjects" value="false"/>
        <property name="org.kie.server.user" value="rhpamUser"/>
        <property name="org.kie.server.pwd" value="rhpam123!"/>
        <property name="org.kie.server.location" value="http://localhost:8080/kie-server/services/rest/server"/>
        <property name="org.kie.server.controller" value="http://localhost:8080/business-central/rest/controller"/>
        <property name="org.kie.server.controller.user" value="kieserver"/>
        <property name="org.kie.server.controller.pwd" value="kieserver1!"/>
        <property name="org.kie.server.id" value="local-server-123"/>
    
        <!-- Data source properties. -->
        <property name="org.kie.server.persistence.ds" value="java:jboss/datasources/KieServerDS"/>
        <property name="org.kie.server.persistence.dialect" value="org.hibernate.dialect.PostgreSQLDialect"/>
    </system-properties>

The following dialects are supported:

  • DB2: org.hibernate.dialect.DB2Dialect
  • MSSQL: org.hibernate.dialect.SQLServer2012Dialect
  • MySQL: org.hibernate.dialect.MySQL5InnoDBDialect
  • MariaDB: org.hibernate.dialect.MySQL5InnoDBDialect
  • Oracle: org.hibernate.dialect.Oracle10gDialect
  • PostgreSQL: org.hibernate.dialect.PostgreSQL82Dialect
  • PostgreSQL plus: org.hibernate.dialect.PostgresPlusDialect
  • Sybase: org.hibernate.dialect.SybaseASE157Dialect

Chapter 6. Configuring KIE Server with the integrated Process Automation Manager controller

Note

Only make the changes described in this section if KIE Server will be managed by Business Central and you installed Red Hat Process Automation Manager from the ZIP files. If you did not install Business Central, you can use the headless Process Automation Manager controller to manage KIE Server, as described in Chapter 7, Installing and running the headless Process Automation Manager controller.

KIE Server can be managed or it can be unmanaged. If KIE Server is unmanaged, you must manually create and maintain KIE containers (deployment units). If KIE Server is managed, the Process Automation Manager controller manages the KIE Server configuration and you interact with the Process Automation Manager controller to create and maintain KIE containers.

The Process Automation Manager controller is integrated with Business Central. If you install Business Central, you can use the Execution Server page in Business Central to interact with the Process Automation Manager controller.

If you installed Red Hat Process Automation Manager from the ZIP files, you must edit the standalone-full.xml file in both the KIE Server and Business Central installations to configure KIE Server with the integrated Process Automation Manager controller.

Prerequisites

  • Business Central and KIE Server are installed in the base directory of the Red Hat JBoss EAP installation (EAP_HOME).

    Note

    You should install Business Central and KIE Server on different servers in production environments. However, if you install KIE Server and Business Central on the same server, for example in a development environment, make the changes described in this section in the shared standalone-full.xml file.

  • On Business Central server nodes, a user with the rest-all role exists.

    Procedure

    1. In the Business Central EAP_HOME/standalone/configuration/standalone-full.xml file, uncomment the following properties in the <system-properties> section and replace <USERNAME> and <USER_PWD> with the credentials of a user with the kie-server role:

         <property name="org.kie.server.user" value="<USERNAME>"/>
         <property name="org.kie.server.pwd" value="<USER_PWD>"/>
    2. In the KIE Server EAP_HOME/standalone/configuration/standalone-full.xml file, uncomment the following properties in the <system-properties> section.

        <property name="org.kie.server.controller.user" value="<CONTROLLER_USER>"/>
        <property name="org.kie.server.controller.pwd" value="<CONTROLLER_PWD>"/>
        <property name="org.kie.server.id" value="<KIE_SERVER_ID>"/>
        <property name="org.kie.server.location" value="http://<HOST>:<PORT>/kie-server/services/rest/server"/>
        <property name="org.kie.server.controller" value="<CONTROLLER_URL>"/>
    3. Replace the following values:
  • Replace <CONTROLLER_USER> and <CONTROLLER_PWD> with the credentials of a user with the rest-all role.
  • Replace <KIE_SERVER_ID> with the ID or name of the KIE Server installation, for example, rhpam-7.8.0-kie-server-1.
  • Replace <HOST> with the ID or name of the KIE Server host, for example, localhost or 192.7.8.9.
  • Replace <PORT> with the port of the KIE Server host, for example, 8080.

    Note

    The org.kie.server.location property specifies the location of KIE Server.

  • Replace <CONTROLLER_URL> with the URL of Business Central. KIE Server connects to this URL during startup.

    • If you installed Business Central using the installer or Red Hat JBoss EAP zip installations, <CONTROLLER_URL> has this format:

      http://<HOST>:<PORT>/business-central/rest/controller

    • If you are running Business Central using the standalone.jar file, <CONTROLLER_URL> has this format:

      http://<HOST>:<PORT>/rest/controller

Chapter 7. Installing and running the headless Process Automation Manager controller

You can configure KIE Server to run in managed or unmanaged mode. If KIE Server is unmanaged, you must manually create and maintain KIE containers (deployment units). If KIE Server is managed, the Process Automation Manager controller manages the KIE Server configuration and you interact with the Process Automation Manager controller to create and maintain KIE containers.

Business Central has an embedded Process Automation Manager controller. If you install Business Central, use the Execution Server page to create and maintain KIE containers. If you want to automate KIE Server management without Business Central, you can use the headless Process Automation Manager controller.

7.1. Using the installer to configure KIE Server with the Process Automation Manager controller

KIE Server can be managed by the Process Automation Manager controller or it can be unmanaged. If KIE Server is unmanaged, you must manually create and maintain KIE containers (deployment units). If KIE Server is managed, the Process Automation Manager controller manages the KIE Server configuration and you interact with the Process Automation Manager controller to create and maintain KIE containers.

The Process Automation Manager controller is integrated with Business Central. If you install Business Central, you can use the Execution Server page in Business Central to interact with the Process Automation Manager controller.

You can use the installer in interactive or CLI mode to install Business Central and KIE Server, and then configure KIE Server with the Process Automation Manager controller.

Note

If you do not install Business Central, see Chapter 7, Installing and running the headless Process Automation Manager controller for information about using the headless Process Automation Manager controller.

Prerequisites

  • Two computers with backed-up Red Hat JBoss EAP 7.3 server installations are available.
  • Sufficient user permissions to complete the installation are granted.

Procedure

  1. On the first computer, run the installer in interactive mode or CLI mode. See Installing and configuring Red Hat Process Automation Manager on Red Hat JBoss EAP 7.3 for more information.
  2. On the Component Selection page, clear the KIE Server box.
  3. Complete the Business Central installation.
  4. On the second computer, run the installer in interactive mode or CLI mode.
  5. On the Component Selection page, clear the Business Central box.
  6. On the Configure Runtime Environment page, select Perform Advanced Configuration.
  7. Select Customize KIE Server properties and click Next.
  8. Enter the controller URL for Business Central and configure additional properties for KIE Server. The controller URL has the following form where <HOST:PORT> is the address of Business Central on the second computer:

    <HOST:PORT>/business-central/rest/controller
  9. Complete the installation.
  10. To verify that the Process Automation Manager controller is now integrated with Business Central, go to the Execution Servers page in Business Central and confirm that the KIE Server that you configured appears under REMOTE SERVERS.

7.2. Installing the headless Process Automation Manager controller

You can install the headless Process Automation Manager controller and use the REST API or the KIE Server Java Client API to interact with it.

Prerequisites

  • A backed-up Red Hat JBoss EAP installation version 7.3 is available. The base directory of the Red Hat JBoss EAP installation is referred to as EAP_HOME.
  • Sufficient user permissions to complete the installation are granted.

Procedure

  1. Navigate to the Software Downloads page in the Red Hat Customer Portal (login required), and select the product and version from the drop-down options:

    • Product: Process Automation Manager
    • Version: 7.8
  2. Download Red Hat Process Automation Manager 7.8.0 Add Ons (the rhpam-7.8.0-add-ons.zip file).
  3. Unzip the rhpam-7.8.0-add-ons.zip file. The rhpam-7.8.0-controller-ee7.zip file is in the unzipped directory.
  4. Extract the rhpam-7.8.0-controller-ee7 archive to a temporary directory. In the following examples this directory is called TEMP_DIR.
  5. Copy the TEMP_DIR/rhpam-7.8.0-controller-ee7/controller.war directory to EAP_HOME/standalone/deployments/.

    Warning

    Ensure that the names of the headless Process Automation Manager controller deployments you copy do not conflict with your existing deployments in the Red Hat JBoss EAP instance.

  6. Copy the contents of the TEMP_DIR/rhpam-7.8.0-controller-ee7/SecurityPolicy/ directory to EAP_HOME/bin. When asked to overwrite files, select Yes.
  7. In the EAP_HOME/standalone/deployments/ directory, create an empty file named controller.war.dodeploy. This file ensures that the headless Process Automation Manager controller is automatically deployed when the server starts.

7.2.1. Creating a headless Process Automation Manager controller user

Before you can use the headless Process Automation Manager controller, you must create a user that has the kie-server role.

Prerequisites

  • The headless Process Automation Manager controller is installed in the base directory of the Red Hat JBoss EAP installation (EAP_HOME).

Procedure

  1. In a terminal application, navigate to the EAP_HOME/bin directory.
  2. Enter the following command and replace <USER_NAME> and <PASSWORD> with the user name and password of your choice.

    $ ./add-user.sh -a --user <USER_NAME> --password <PASSWORD> --role kie-server
    Note

    Make sure that the specified user name is not the same as an existing user, role, or group. For example, do not create a user with the user name admin.

    The password must have at least eight characters and must contain at least one number and one non-alphanumeric character, but not & (ampersand).

  3. Make a note of your user name and password.

7.2.2. Configuring KIE Server and the headless Process Automation Manager controller

If KIE Server will be managed by the headless Process Automation Manager controller, you must edit the standalone-full.xml file in KIE Server installation and the standalone.xml file in the headless Process Automation Manager controller installation, as described in this section.

Prerequisites

  • KIE Server is installed in the base directory of the Red Hat JBoss EAP installation (EAP_HOME).
  • The headless Process Automation Manager controller is installed in an EAP_HOME.

    Note

    You should install KIE Server and the headless Process Automation Manager controller on different servers in production environments. However, if you install KIE Server and the headless Process Automation Manager controller on the same server, for example in a development environment, make these changes in the shared standalone-full.xml file.

  • On KIE Server nodes, a user with the kie-server role exists.
  • On the server nodes, a user with the kie-server role exists.

    Procedure

    1. In the EAP_HOME/standalone/configuration/standalone-full.xml file, add the following properties to the <system-properties> section and replace <USERNAME> and <USER_PWD> with the credentials of a user with the kie-server role:

         <property name="org.kie.server.user" value="<USERNAME>"/>
         <property name="org.kie.server.pwd" value="<USER_PWD>"/>
    2. In the KIE Server EAP_HOME/standalone/configuration/standalone-full.xml file, add the following properties to the <system-properties> section:

        <property name="org.kie.server.controller.user" value="<CONTROLLER_USER>"/>
        <property name="org.kie.server.controller.pwd" value="<CONTROLLER_PWD>"/>
        <property name="org.kie.server.id" value="<KIE_SERVER_ID>"/>
        <property name="org.kie.server.location" value="http://<HOST>:<PORT>/kie-server/services/rest/server"/>
        <property name="org.kie.server.controller" value="<CONTROLLER_URL>"/>
    3. In this file, replace the following values:
  • Replace <CONTROLLER_USER> and <CONTROLLER_PWD> with the credentials of a user with the kie-server role.
  • Replace <KIE_SERVER_ID> with the ID or name of the KIE Server installation, for example, rhpam-7.8.0-kie-server-1.
  • Replace <HOST> with the ID or name of the KIE Server host, for example, localhost or 192.7.8.9.
  • Replace <PORT> with the port of the KIE Server host, for example, 8080.

    Note

    The org.kie.server.location property specifies the location of KIE Server.

  • Replace <CONTROLLER_URL> with the URL of the headless Process Automation Manager controller.

    1. KIE Server connects to this URL during startup.

7.3. Running the headless Process Automation Manager controller

After you have installed the headless Process Automation Manager controller on Red Hat JBoss EAP, use this procedure to run the headless Process Automation Manager controller.

Prerequisites

  • The headless Process Automation Manager controller is installed and configured in the base directory of the Red Hat JBoss EAP installation (EAP_HOME).

Procedure

  1. In a terminal application, navigate to EAP_HOME/bin.
  2. If you installed the headless Process Automation Manager controller on the same Red Hat JBoss EAP instance as the Red Hat JBoss EAP instance where you installed the KIE Server, enter one of the following commands:

    • On Linux or UNIX-based systems:

      $ ./standalone.sh -c standalone-full.xml
    • On Windows:

      standalone.bat -c standalone-full.xml
  3. If you installed the headless Process Automation Manager controller on a separate Red Hat JBoss EAP instance from the Red Hat JBoss EAP instance where you installed the KIE Server, you can start the headless Process Automation Manager controller with the standalone.sh script:

    Note

    In this case, ensure that you made all required configuration changes to the standalone.xml file.

    • On Linux or UNIX-based systems:

      $ ./standalone.sh
    • On Windows:

      standalone.bat
  4. To verify that the headless Process Automation Manager controller is working on Red Hat JBoss EAP, enter the following command where <CONTROLLER> and <CONTROLLER_PWD> is the user name and password. The output of this command provides information about the KIE Server instance.

    curl -X GET "http://<HOST>:<PORT>/controller/rest/controller/management/servers" -H  "accept: application/xml" -u '<CONTROLLER>:<CONTROLLER_PWD>'
Note

Alternatively, you can use the KIE Server Java API Client to access the headless Process Automation Manager controller.

7.4. Clustering KIE Servers with the headless Process Automation Manager controller

The Process Automation Manager controller is integrated with Business Central. However, if you do not install Business Central, you can install the headless Process Automation Manager controller and use the REST API or the KIE Server Java Client API to interact with it.

Prerequisites

Procedure

  1. Navigate to the Software Downloads page in the Red Hat Customer Portal (login required), and select the product and version from the drop-down options:

    • Product: Process Automation Manager
    • Version: 7.8
  2. Download Red Hat Process Automation Manager 7.8.0 Add Ons (the rhpam-7.8.0-add-ons.zip file).
  3. Unzip the rhpam-7.8.0-add-ons.zip file. The rhpam-7.8.0-controller-ee7.zip file is in the unzipped directory.
  4. Extract the rhpam-7.8.0-controller-ee7 archive to a temporary directory. In the following examples this directory is called TEMP_DIR.
  5. Copy the TEMP_DIR/rhpam-7.8.0-controller-ee7/controller.war directory to EAP_HOME/standalone/deployments/.

    Warning

    Ensure that the names of the headless Process Automation Manager controller deployments you copy do not conflict with your existing deployments in the Red Hat JBoss EAP instance.

  6. Copy the contents of the TEMP_DIR/rhpam-7.8.0-controller-ee7/SecurityPolicy/ directory to EAP_HOME/bin. When asked to overwrite files, select Yes.
  7. In the EAP_HOME/standalone/deployments/ directory, create an empty file named controller.war.dodeploy. This file ensures that the headless Process Automation Manager controller is automatically deployed when the server starts.
  8. Open the EAP_HOME/standalone/configuration/standalone.xml file in a text editor.
  9. Add the following properties to the <system-properties> element and replace <NFS_STORAGE> with the absolute path to the NFS storage where the template configuration is stored:

    <system-properties>
      <property name="org.kie.server.controller.templatefile.watcher.enabled" value="true"/>
      <property name="org.kie.server.controller.templatefile" value="<NFS_STORAGE>"/>
    </system-properties>

    Template files contain default configurations for specific deployment scenarios.

    If the value of the org.kie.server.controller.templatefile.watcher.enabled property is set to true, a separate thread is started to watch for modifications of the template file. The default interval for these checks is 30000 milliseconds and can be further controlled by the org.kie.server.controller.templatefile.watcher.interval system property. If the value of this property is set to false, changes to the template file are detected only when the server restarts.

  10. To start the headless Process Automation Manager controller, navigate to EAP_HOME/bin and enter the following command:

    • On Linux or UNIX-based systems:

      $ ./standalone.sh
    • On Windows:

      standalone.bat

For more information about running Red Hat Process Automation Manager in a Red Hat JBoss Enterprise Application Platform clustered environment, see Installing and configuring Red Hat Process Automation Manager in a Red Hat JBoss EAP clustered environment.

Chapter 8. Configuring a KIE Server to connect to Business Central

If a KIE Server is not already configured in your Red Hat Process Automation Manager environment, or if you require additional KIE Servers in your Red Hat Process Automation Manager environment, you must configure a KIE Server to connect to Business Central.

Note

If you are deploying KIE Server on Red Hat OpenShift Container Platform, see Deploying a Red Hat Process Automation Manager freeform managed server environment on Red Hat OpenShift Container Platform for instructions about configuring it to connect to Business Central.

Prerequisites

Procedure

  1. In your Red Hat Process Automation Manager installation directory, navigate to the standalone-full.xml file. For example, if you use a Red Hat JBoss EAP installation for Red Hat Process Automation Manager, go to $EAP_HOME/standalone/configuration/standalone-full.xml.
  2. Open standalone-full.xml and under the <system-properties> tag, set the following properties:

    • org.kie.server.controller.user: The user name of a user who can log in to the Business Central.
    • org.kie.server.controller.pwd: The password of the user who can log in to the Business Central.
    • org.kie.server.controller: The URL for connecting to the API of Business Central. Normally, the URL is http://<centralhost>:<centralport>/business-central/rest/controller, where <centralhost> and <centralport> are the host name and port for Business Central. If Business Central is deployed on OpenShift, remove business-central/ from the URL.
    • org.kie.server.location: The URL for connecting to the API of KIE Server. Normally, the URL is http://<serverhost>:<serverport>/kie-server/services/rest/server, where <serverhost> and <serverport> are the host name and port for KIE Server.
    • org.kie.server.id: The name of a server configuration. If this server configuration does not exist in Business Central, it is created automatically when KIE Server connects to Business Central.

    Example:

    <property name="org.kie.server.controller.user" value="central_user"/>
    <property name="org.kie.server.controller.pwd" value="central_password"/>
    <property name="org.kie.server.controller" value="http://central.example.com:8080/business-central/rest/controller"/>
    <property name="org.kie.server.location" value="http://kieserver.example.com:8080/kie-server/services/rest/server"/>
    <property name="org.kie.server.id" value="production-servers"/>
  3. Start or restart the KIE Server.

Chapter 9. Configuring the environment mode in KIE Server and Business Central

You can set KIE Server to run in production mode or in development mode. Development mode provides a flexible deployment policy that enables you to update existing deployment units (KIE containers) while maintaining active process instances for small changes. It also enables you to reset the deployment unit state before updating active process instances for larger changes. Production mode is optimal for production environments, where each deployment creates a new deployment unit.

In a development environment, you can click Deploy in Business Central to deploy the built KJAR file to a KIE Server without stopping any running instances (if applicable), or click Redeploy to deploy the built KJAR file and replace all instances. The next time you deploy or redeploy the built KJAR, the previous deployment unit (KIE container) is automatically updated in the same target KIE Server.

In a production environment, the Redeploy option in Business Central is disabled and you can click only Deploy to deploy the built KJAR file to a new deployment unit (KIE container) on a KIE Server.

Procedure

  1. To configure the KIE Server environment mode, set the org.kie.server.mode system property to org.kie.server.mode=development or org.kie.server.mode=production.
  2. To configure the deployment behavior for a project in Business Central, go to project SettingsGeneral SettingsVersion and toggle the Development Mode option.

    Note

    By default, KIE Server and all new projects in Business Central are in development mode.

    You cannot deploy a project with Development Mode turned on or with a manually added SNAPSHOT version suffix to a KIE Server that is in production mode.

Chapter 10. Configuring KIE Server Managed by Business Central

Warning

This section provides a sample setup that you can use for testing purposes. Some of the values are unsuitable for a production environment, and are marked as such.

Use this procedure to configure Business Central to manage a KIE Server instance.

Prerequisites

  • Users with the following roles exist:

    • In Business Central, a user with the role rest-all
    • On the KIE Server, a user with the role kie-server
Note

In production environments, use two distinct users, each with one role. In this sample situation, we use only one user named controllerUser that has both the rest-all and the kie-server roles.

Procedure

  1. Set the following JVM properties.

    The location of Business Central and the KIE Server may be different. In such case, ensure you set the properties on the correct server instances.

    • On Red Hat JBoss EAP, modify the <system-properties> section in:

      • EAP_HOME/standalone/configuration/standalone*.xml for standalone mode.
      • EAP_HOME/domain/configuration/domain.xml for domain mode.

    Table 10.1. JVM Properties for KIE Server Instance

    PropertyValueNote

    org.kie.server.id

    default-kie-server

    The KIE Server ID.

    org.kie.server.controller

    http://localhost:8080/business-central/rest/controller

    The location of Business Central.

    org.kie.server.controller.user

    controllerUser

    The user name with the role rest-all as mentioned in the previous step.

    org.kie.server.controller.pwd

    controllerUser1234;

    The password of the user mentioned in the previous step.

    org.kie.server.location

    http://localhost:8080/kie-server/services/rest/server

    The location of the KIE Server.

    Table 10.2. JVM Properties for Business Central Instance

    PropertyValueNote

    org.kie.server.user

    controllerUser

    The user name with the role kie-server as mentioned in the previous step.

    org.kie.server.pwd

    controllerUser1234;

    The password of the user mentioned in the previous step.

  2. Verify the successful start of the KIE Server by sending a GET request to http://SERVER:PORT/kie-server/services/rest/server/. Once authenticated, you get an XML response similar to this:

    <response type="SUCCESS" msg="Kie Server info">
        <kie-server-info>
            <capabilities>KieServer</capabilities>
            <capabilities>BRM</capabilities>
            <capabilities>BPM</capabilities>
            <capabilities>CaseMgmt</capabilities>
            <capabilities>BPM-UI</capabilities>
            <capabilities>BRP</capabilities>
            <capabilities>DMN</capabilities>
            <capabilities>Swagger</capabilities>
            <location>http://localhost:8230/kie-server/services/rest/server</location>
            <messages>
                <content>Server KieServerInfo{serverId='first-kie-server', version='7.5.1.Final-redhat-1', location='http://localhost:8230/kie-server/services/rest/server', capabilities=[KieServer, BRM, BPM, CaseMgmt, BPM-UI, BRP, DMN, Swagger]}started successfully at Mon Feb 05 15:44:35 AEST 2018</content>
                <severity>INFO</severity>
                <timestamp>2018-02-05T15:44:35.355+10:00</timestamp>
            </messages>
            <name>first-kie-server</name>
            <id>first-kie-server</id>
            <version>7.5.1.Final-redhat-1</version>
        </kie-server-info>
    </response>
  3. Verify successful registration:

    1. Log in to Business Central.
    2. Click MenuDeployExecution Servers.

      If registration is successful, you can see the registered server ID.

Chapter 11. Configuring Smart Router for TLS support

You can configure Smart Router (KIE Server Router) for TLS support to allow HTTPS traffic.

Prerequisites

Procedure

  • To start Smart Router with TLS support and HTTPS enabled, use the TLS keystore properties, for example:

    java  -Dorg.kie.server.router.tls.keystore = <KEYSTORE_PATH>
          -Dorg.kie.server.router.tls.keystore.password = <KEYSTORE_PWD>
          -Dorg.kie.server.router.tls.keystore.keyalias = <KEYSTORE_ALIAS>
          -Dorg.kie.server.router.tls.port = <HTTPS_PORT>
          -jar rhpam-7.8.0-smart-router.jar

    org.kie.server.router.tls.port is a property used to configure the HTTPS port. The default HTTPS port value is 9443.

Chapter 12. Managed KIE Server

A managed instance requires an available Process Automation Manager controller to start the KIE Server.

A Process Automation Manager controller manages the KIE Server configuration in a centralized way. Each Process Automation Manager controller can manage multiple configurations at once, and there can be multiple Process Automation Manager controllers in the environment. Managed KIE Server can be configured with a list of Process Automation Manager controllers, but will only connect to one at a time.

Important

All Process Automation Manager controllers should be synchronized to ensure that the same set of configuration is provided to the server, regardless of the Process Automation Manager controller to which it connects.

When the KIE Server is configured with a list of Process Automation Manager controllers, it will attempt to connect to each of them at startup until a connection is successfully established with one of them. If a connection cannot be established, the server will not start, even if there is a local storage available with configuration. This ensures consistency and prevents the server from running with redundant configuration.

Note

To run the KIE Server in standalone mode without connecting to Process Automation Manager controllers, see Chapter 13, Unmanaged KIE Server.

Chapter 13. Unmanaged KIE Server

An unmanaged KIE Server is a standalone instance, and therefore must be configured individually using REST/JMS API from the KIE Server itself. The configuration is automatically persisted by the server into a file and that is used as the internal server state, in case of restarts.

The configuration is updated during the following operations:

  • Deploy KIE container
  • Undeploy KIE container
  • Start KIE container
  • Stop KIE container
Note

If the KIE Server is restarted, it will attempt to re-establish the same state that was persisted before shutdown. Therefore, KIE containers (deployment units) that were running will be started, but the ones that were stopped will not.

Chapter 14. Activating or deactivating a KIE container on KIE Server

You can now stop the creation of new process instances from a given container by deactivating it but at the same time continue working on its existing process instances and tasks. In case the deactivation is temporary, you can activate the container again later. The activation or deactivation of KIE containers do not require restarting of KIE server.

Prerequisites

  • A KIE container has been created and configured in Business Central.

Procedure

  1. Log in to Business Central.
  2. In the main menu, click MenuDeployExecution Servers.
  3. From the Server Configurations pane, which is on the left of the page, select your server.
  4. From the Deployment Units pane, select the deployment unit you want to activate or deactivate.
  5. Click Activate or Deactivate in the upper-right corner of the deployment unit pane.

    You cannot create a process instance from a KIE container once it is deactivated.

Chapter 15. Deployment descriptors

Processes and rules are stored in Apache Maven based packaging and are known as knowledge archives, or KJAR. The rules, processes, assets, and other project artifacts are part of a JAR file built and managed by Maven. A file kept inside the META-INF directory of the KJAR called kmodule.xml can be used to define the KIE bases and sessions. This kmodule.xml file, by default, is empty.

Whenever a runtime component such as KIE Server is about to process the KJAR, it looks up kmodule.xml to build the runtime representation.

Deployment descriptors supplement the kmodule.xml file and provide granular control over your deployment. The presence of these descriptors is optional and your deployment will proceed successfully without them. You can set purely technical properties using these descriptors, including meta values such as persistence, auditing, and runtime strategy.

These descriptors allow you to configure the KIE Server on multiple levels, including server level default, different deployment descriptor per KJAR, and other server configurations. You can use descriptors to make simple customizations to the default KIE Server configuration, possibly per KJAR.

You can define these descriptors in a file called kie-deployment-descriptor.xml and place this file next to your kmodule.xml file in the META-INF folder. You can change this default location and the file name by specifying it as a system parameter:

-Dorg.kie.deployment.desc.location=file:/path/to/file/company-deployment-descriptor.xml

15.1. Deployment descriptor configuration

Deployment descriptors allow the user to configure the execution server on multiple levels:

  • Server level: The main level and the one that applies to all KJARs deployed on the server.
  • KJAR level: This enables you to configure descriptors on a per KJAR basis.
  • Deploy time level: Descriptors that apply while a KJAR is being deployed.

The granular configuration items specified by the deployment descriptors take precedence over the server level ones, except in case of configuration items that are collection based, which are merged. The hierarchy works like this: deploy time configuration > KJAR configuration > server configuration.

Note

The deploy time configuration applies to deployments done via the REST API.

For example, if the persistence mode (one of the items you can configure) defined at the server level is NONE but the same mode is specified as JPA at the KJAR level, the actual mode will be JPA for that KJAR. If nothing is specified for the persistence mode in the deployment descriptor for that KJAR (or if there is no deployment descriptor), it will fall back to the server level configuration, which in this case is NONE (or to JPA if there is no server level deployment descriptor).

What Can You Configure?

High level technical configuration details can be configured via deployment descriptors. The following table lists these along with the permissible and default values for each.

Table 15.1. Deployment Descriptors

ConfigurationXML EntryPermissible ValuesDefault Value

Persistence unit name for runtime data

persistence-unit

Any valid persistence package name

org.jbpm.domain

Persistence unit name for audit data

audit-persistence-unit

Any valid persistence package name

org.jbpm.domain

Persistence mode

persistence-mode

JPA, NONE

JPA

Audit mode

audit-mode

JPA, JMS or NONE

JPA

Runtime Strategy

runtime-strategy

SINGLETON, PER_REQUEST or PER_PROCESS_INSTANCE

SINGLETON

List of Event Listeners to be registered

event-listeners

Valid listener class names as ObjectModel

No default value

List of Task Event Listeners to be registered

task-event-listeners

Valid listener class names as ObjectModel

No default value

List of Work Item Handlers to be registered

work-item-handlers

Valid Work Item Handler classes given as NamedObjectHandler

No default value

List of Globals to be registered

globals

Valid Global variables given as NamedObjectModel

No default value

Marshalling strategies to be registered (for pluggable variable persistence)

marshalling-strategies

Valid ObjectModel classes

No default value

Required Roles to be granted access to the resources of the KJAR

required-roles

String role names

No default value

Additional Environment Entries for KIE session

environment-entries

Valid NamedObjectModel

No default value

Additional configuration options of KIE session

configurations

Valid NamedObjectModel

No default value

Classes used for serialization in the remote services

remoteable-class

Valid CustomClass

No default value

Warning

Do not use the Singleton runtime strategy with the EJB Timer Scheduler (the default scheduler in KIE Server) in a production environment. This combination can result in Hibernate problems under load. Per process instance runtime strategy is recommended if there is no specific reason to use other strategies. For more information about this limitation, see Hibernate issues with Singleton strategy and EJBTimerScheduler.

15.2. Managing deployment descriptors

Deployment descriptors can be configured in Business Central in MenuDesign$PROJECT_NAMESettingsDeployments.

Every time a project is created, a stock kie-deployment-descriptor.xml file is generated with default values.

It is not necessary to provide a full deployment descriptor for all KJARs. Providing partial deployment descriptors is possible and recommended. For example, if you need to use a different audit mode, you can specify that for the KJAR only, all other properties will have the default value defined at the server level.

When using OVERRIDE_ALL merge mode, all configuration items must be specified, because the relevant KJAR will always use specified configuration and will not merge with any other deployment descriptor in the hierarchy.

15.3. Restricting access to the runtime engine

The required-roles configuration item can be edited in the deployment descriptors. This property restricts access to the runtime engine on a per-KJAR or per-server level by ensuring that access to certain processes is only granted to users that belong to groups defined by this property.

The security role can be used to restrict access to process definitions or restrict access at run time.

The default behavior is to add required roles to this property based on repository restrictions. You can edit these properties manually if required by providing roles that match actual roles defined in the security realm.

Procedure

  1. To open the project deployment descriptors configuration in Business Central, open MenuDesign$PROJECT_NAMESettingsDeployments.
  2. From the list of configuration settings, click Required Roles, then click Add Required Role.
  3. In the Add Required Role window, type the name of the role that you want to have permission to access this deployment, then click Add.
  4. To add more roles with permission to access the deployment, repeat the previous steps.
  5. When you have finished adding all required roles, click Save.

Chapter 16. Accessing runtime data from Business Central

The following pages in Business Central allow you to view the runtime data of the KIE Server:

  • Process Reports
  • Task Reports
  • Process Definitions
  • Process Instances
  • Execution Errors
  • Jobs
  • Tasks

These pages use the credentials of the currently logged in user to load data from the KIE Server. Therefore, to be able to view the runtime data in Business Central, ensure that the following conditions are met:

  • The user exists in the KIE container (deployment unit) running the Business Central application. This user must have admin, analyst, or developer roles assigned, in addition to the kie-server role, with full access to the runtime data. The manager and process_admin roles also allow access to runtime data pages in Business Central.
  • The user exists in the KIE container (deployment unit) running the KIE Server and has kie-server role assigned.
  • Communication between Business Central and the KIE Server is established. That is, the KIE Server is registered in the Process Automation Manager controller, which is part of Business Central.
  • The deployment.business-central.war login module is present in the standalone.xml configuration of the server running Business Central:

     <login-module code="org.kie.security.jaas.KieLoginModule" flag="optional" module="deployment.business-central.war"/>

Chapter 17. Execution error management

When an execution error occurs for a business process, the process stops and reverts to the most recent stable state (the closest safe point) and continues its execution. If an error of any kind is not handled by the process the entire transaction rolls back, leaving the process instance in the previous wait state. Any trace of this is only visible in the logs, and usually displayed to the caller who sent the request to the process engine.

Users with process administrator (process-admin) or administrator (admin) roles are able to access error messages in Business Central. Execution error messaging provides the following primary benefits:

  • Better traceability
  • Visibility in case of critical processes
  • Reporting and analytics based on error situations
  • External system error handling and compensation

Configurable error handling is responsible for receiving any technical errors thrown throughout the process engine execution (including task service). The following technical exceptions apply:

  • Anything that extends java.lang.Throwable
  • Process level error handling and any other exceptions not previously handled

There are several components that make up the error handling mechanism and allow a pluggable approach to extend its capabilities.

The process engine entry point for error handling is the ExecutionErrorManager. This is integrated with RuntimeManager, which is then responsible for providing it to the underlying KieSession and TaskService.

From an API point of view, ExecutionErrorManager provides access to the following components:

  • ExecutionErrorHandler: The primary mechanism for error handling
  • ExecutionErrorStorage: Pluggable storage for execution error information

17.1. Managing execution errors

By definition, every process error that is detected and stored is unacknowledged and must be handled by someone or something (in case of automatic error recovery). Errors are filtered on the basis of whether or not they have been acknowledged. Acknowledging an error saves the user information and time stamp for traceability. You can access the Error Management view at any time.

Procedure

  1. In Business Central, go to MenuManageExecution Errors.
  2. Select an error from the list to open the Details tab. This displays information about the error or errors.
  3. Click the Acknowledge button to acknowledge and clear the error. You can view the error later by selecting Yes on the Acknowledged filter in the Manage Execution Errors page.

    If the error was related to a task, a Go to Task button is displayed.

  4. Click the Go to Task button, if applicable, to view the associated job information in the Manage Tasks page.

    In the Manage Tasks page, you can restart, reschedule, or retry the corresponding task.

17.2. The ExecutionErrorHandler

The ExecutionErrorHandler is the primary mechanism for all process error handling. It is bound to the life cycle of RuntimeEngine; meaning it is created when a new runtime engine is created, and is destroyed when RuntimeEngine is disposed. A single instance of the ExecutionErrorHandler is used within a given execution context or transaction. Both KieSession and TaskService use that instance to inform the error handling about processed nodes/tasks. ExecutionErrorHandler is informed about:

  • Starting of processing of a given node instance.
  • Completion of processing of a given node instance.
  • Starting of processing of a given task instance.
  • Completion of processing of a given task instance.

This information is mainly used for errors that are of unknown type; that is, errors that do not provide information about the process context. For example, upon commit time, database exceptions do not carry any process information.

17.3. Execution error storage

ExecutionErrorStorage is a pluggable strategy that permits various ways of persisting information about execution errors. Storage is used directly by the handler that gets an instance of the store when it is created (when RuntimeEngine is created). Default storage implementation is based on the database table, which stores every error and includes all of the available information. Some errors may not contain details, as this depends on the type of error and whether or not it is possible to extract specific information.

17.4. Error types and filters

Error handling attempts to catch and handle any kind of error, therefore it needs a way to categorize errors. By doing this, it is able to properly extract information from the error and make it pluggable, as some users may require specific types of errors to be thrown and handled in different ways than what is provided by default.

Error categorization and filtering is based on ExecutionErrorFilters. This interface is solely responsible for building instances of ExecutionError, which are later stored by way of the ExecutionErrorStorage strategy. It has following methods:

  • accept: indicates if given error can be handled by the filter.
  • filter: where the actual filtering, handling, and so on happens.
  • getPriority: indicates the priority that is used when calling filters.

Filters process one error at a time and use a priority system to avoid having multiple filters returning alternative “views” of the same error. Priority enables more specialized filters to see if the error can be accepted, or otherwise allow another filter to handle it.

ExecutionErrorFilter can be provided using the ServiceLoader mechanism, which enables the capability of error handling to be easily extended.

Red Hat Process Automation Manager ships with the following ExecutionErrorFilters :

Table 17.1. ExecutionErrorFilters

Class nameTypePriority

org.jbpm.runtime.manager.impl.error.filters.ProcessExecutionErrorFilter

Process

100

org.jbpm.runtime.manager.impl.error.filters.TaskExecutionErrorFilter

Task

80

org.jbpm.runtime.manager.impl.error.filters.DBExecutionErrorFilter

DB

200

org.jbpm.executor.impl.error.JobExecutionErrorFilter

Job

100

Filters are given a higher execution order based on the lowest value of the priority. In the above table, filters are invoked in the following order:

  1. Task
  2. Process
  3. Job
  4. DB

17.5. Auto acknowledging execution errors

When executions errors occur they are unacknowledged by default, and require a manual acknowledgment to be performed otherwise they are always seen as information that requires attention. In case of larger volumes, manual actions can be time consuming and not suitable in some situations.

Auto acknowledgment resolves this issue. It is based on scheduled jobs by way of the jbpm-executor, with the following three types of jobs available:

org.jbpm.executor.commands.error.JobAutoAckErrorCommand
Responsible for finding jobs that previously failed but now are either canceled, completed, or rescheduled for another execution. This job only acknowledges execution errors of type Job.
org.jbpm.executor.commands.error.TaskAutoAckErrorCommand
Responsible for auto acknowledgment of user task execution errors for tasks that previously failed but now are in one of the exit states (completed, failed, exited, obsolete). This job only acknowledges execution errors of type Task.
org.jbpm.executor.commands.error.ProcessAutoAckErrorCommand
Responsible for auto acknowledgment of process instances that have errors attached. It acknowledges errors where the process instance is already finished (completed or aborted), or the task that the error originated from is already finished. This is based on init_activity_id value. This job acknowledges any type of execution error that matches the above criteria.

Jobs can be registered on the KIE Server. In Business Central you can configure auto acknowledge jobs for errors:

Prerequisites

  • Execution errors of one or more type have accumulated during processes execution but require no further attention.

Procedure

  1. In Business Central, click MenuManageJobs.
  2. In the top right of the screen, click New Job.
  3. Type the process correlation key into the Business Key field.
  4. In the Type field, add type of the auto acknowledge job type from the list above.
  5. Select a Due On time for the job to be completed:

    1. To run the job immediately, select the Run now option.
    2. To run the job at a specific time, select Run later. A date and time field appears next to the Run later option. Click the field to open the calendar and schedule a specific time and date for the job.

      auto acknowledge error job1
  6. Click Create to create the job and return to the Manage Jobs page.

The following steps are optional, and allow you to configure auto acknowledge jobs to run either once (SingleRun), on specific time intervals (NextRun), or using the custom name of an entity manager factory to search for jobs to acknowledge (EmfName).

  1. Click the Advanced tab.
  2. Click the Add Parameter button.
  3. Enter the configuration parameter you want to apply to the job:

    1. SingleRun: true or false
    2. NextRun: time expression, such as 2h, 5d, 1m, and so on.
    3. EmfName: custom entity manager factory name.

      auto acknowledge error job2

17.6. Cleaning up the error list

The ExecutionErrorInfo error list table can be cleaned up to remove redundant information. Depending on the life cycle of the process, errors may remain in the list for some time, and there is no direct API with which to clean up the list. Instead, the ExecutionErrorCleanupCommand command can be scheduled to periodically clean up errors.

The following parameters can be set for the clean up command. The command is restricted to deleting execution errors of already completed or aborted process instances:

  • DateFormat

    • Date format for further date related parameters - if not given yyyy-MM-dd is used (pattern of SimpleDateFormat class).
  • EmfName

    • Name of the entity manager factory to be used for queries (valid persistence unit name).
  • SingleRun

    • Indicates if execution should be single run only (true|false).
  • NextRun

    • Provides next execution time (valid time expression, for example: 1d, 5h, and so on)
  • OlderThan

    • Indicates what errors should be deleted - older than given date.
  • OlderThanPeriod

    • Indicated what errors should be deleted older than given time expression (valid time expression e.g. 1d, 5h, and so on)
  • ForProcess

    • Indicates errors to be deleted only for given process definition.
  • ForProcessInstance

    • Indicates errors to be deleted only for given process instance.
  • ForDeployment

    • Indicates errors to be deleted that are from given deployment ID.

Chapter 18. Prometheus metrics monitoring in Red Hat Process Automation Manager

Prometheus is an open-source systems monitoring toolkit that you can use with Red Hat Process Automation Manager to collect and store metrics related to the execution of business rules, processes, Decision Model and Notation (DMN) models, and other Red Hat Process Automation Manager assets. You can access the stored metrics through a REST API call to the KIE Server, through the Prometheus expression browser, or using a data-graphing tool such as Grafana.

You can configure Prometheus metrics monitoring for an on-premise KIE Server instance, for KIE Server on Spring Boot, or for a KIE Server deployment on Red Hat OpenShift Container Platform.

For the list of available metrics that KIE Server exposes with Prometheus, download the Red Hat Process Automation Manager 7.8.0 Source Distribution from the Red Hat Customer Portal and navigate to ~/rhpam-7.8.0-sources/src/droolsjbpm-integration-$VERSION/kie-server-parent/kie-server-services/kie-server-services-prometheus/src/main/java/org/kie/server/services/prometheus.

Important

Red Hat support for Prometheus is limited to the setup and configuration recommendations provided in Red Hat product documentation.

18.1. Configuring Prometheus metrics monitoring for KIE Server

You can configure your KIE Server instances to use Prometheus to collect and store metrics related to your business asset activity in Red Hat Process Automation Manager. For the list of available metrics that KIE Server exposes with Prometheus, download the Red Hat Process Automation Manager 7.8.0 Source Distribution from the Red Hat Customer Portal and navigate to ~/rhpam-7.8.0-sources/src/droolsjbpm-integration-$VERSION/kie-server-parent/kie-server-services/kie-server-services-prometheus/src/main/java/org/kie/server/services/prometheus.

Prerequisites

  • KIE Server is installed.
  • You have kie-server user role access to KIE Server.
  • Prometheus is installed. For information about downloading and using Prometheus, see the Prometheus documentation page.

Procedure

  1. In your KIE Server instance, set the org.kie.prometheus.server.ext.disabled system property to false to enable the Prometheus extension. You can define this property when you start KIE Server or in the standalone.xml or standalone-full.xml file of Red Hat Process Automation Manager distribution.
  2. If you are running Red Hat Process Automation Manager on Spring Boot, configure the required key in the application.properties system property:

    Spring Boot application.properties key for Red Hat Process Automation Manager and Prometheus

    kieserver.jbpm.enabled=true
    kieserver.drools.enabled=true
    kieserver.dmn.enabled=true
    kieserver.prometheus.enabled=true

  3. In the prometheus.yaml file of your Prometheus distribution, add the following settings in the scrape_configs section to configure Prometheus to scrape metrics from KIE Server:

    Scrape configurations in prometheus.yaml file

    scrape_configs:
      - job_name: 'kie-server'
        metrics_path: /SERVER_PATH/services/rest/metrics
        basicAuth:
          username: USER_NAME
          password: PASSWORD
        static_configs:
          - targets: ["HOST:PORT"]

    Scrape configurations in prometheus.yaml file for Spring Boot (if applicable)

    scrape_configs:
      - job_name: 'kie'
        metrics_path: /rest/metrics
        static_configs:
          - targets: ["HOST:PORT"]

    Replace the values according to your KIE Server location and settings.

  4. Start the KIE Server instance.

    Example start command for Red Hat Process Automation Manager on Red Hat JBoss EAP

    $ cd ~/EAP_HOME/bin
    $ ./standalone.sh --c standalone-full.xml

    After you start the configured KIE Server instance, Prometheus begins collecting metrics and KIE Server publishes the metrics to the REST API endpoint http://HOST:PORT/SERVER/services/rest/metrics (or on Spring Boot, to http://HOST:PORT/rest/metrics).

  5. In a REST client or curl utility, send a REST API request with the following components to verify that KIE Server is publishing the metrics:

    For REST client:

    • Authentication: Enter the user name and password of the KIE Server user with the kie-server role.
    • HTTP Headers: Set the following header:

      • Accept: application/json
    • HTTP method: Set to GET.
    • URL: Enter the KIE Server REST API base URL and metrics endpoint, such as http://localhost:8080/kie-server/services/rest/metrics (or on Spring Boot, http://localhost:8080/rest/metrics).

    For curl utility:

    • -u: Enter the user name and password of the KIE Server user with the kie-server role.
    • -H: Set the following header:

      • accept: application/json
    • -X: Set to GET.
    • URL: Enter the KIE Server REST API base URL and metrics endpoint, such as http://localhost:8080/kie-server/services/rest/metrics (or on Spring Boot, http://localhost:8080/rest/metrics).

    Example curl command for Red Hat Process Automation Manager on Red Hat JBoss EAP

    curl -u 'baAdmin:password@1' -X GET "http://localhost:8080/kie-server/services/rest/metrics"

    Example curl command for Red Hat Process Automation Manager on Spring Boot

    curl -u 'baAdmin:password@1' -X GET "http://localhost:8080/rest/metrics"

    Example server response

    # HELP kie_server_container_started_total Kie Server Started Containers
    # TYPE kie_server_container_started_total counter
    kie_server_container_started_total{container_id="task-assignment-kjar-1.0",} 1.0
    # HELP solvers_running Number of solvers currently running
    # TYPE solvers_running gauge
    solvers_running 0.0
    # HELP dmn_evaluate_decision_nanosecond DMN Evaluation Time
    # TYPE dmn_evaluate_decision_nanosecond histogram
    # HELP solver_duration_seconds Time in seconds it took solver to solve the constraint problem
    # TYPE solver_duration_seconds summary
    solver_duration_seconds_count{solver_id="100tasks-5employees.xml",} 1.0
    solver_duration_seconds_sum{solver_id="100tasks-5employees.xml",} 179.828255925
    solver_duration_seconds_count{solver_id="24tasks-8employees.xml",} 1.0
    solver_duration_seconds_sum{solver_id="24tasks-8employees.xml",} 179.995759653
    # HELP drl_match_fired_nanosecond Drools Firing Time
    # TYPE drl_match_fired_nanosecond histogram
    # HELP dmn_evaluate_failed_count DMN Evaluation Failed
    # TYPE dmn_evaluate_failed_count counter
    # HELP kie_server_start_time Kie Server Start Time
    # TYPE kie_server_start_time gauge
    kie_server_start_time{name="myapp-kieserver",server_id="myapp-kieserver",location="http://myapp-kieserver-demo-monitoring.127.0.0.1.nip.io:80/services/rest/server",version="7.4.0.redhat-20190428",} 1.557221271502E12
    # HELP kie_server_container_running_total Kie Server Running Containers
    # TYPE kie_server_container_running_total gauge
    kie_server_container_running_total{container_id="task-assignment-kjar-1.0",} 1.0
    # HELP solver_score_calculation_speed Number of moves per second for a particular solver solving the constraint problem
    # TYPE solver_score_calculation_speed summary
    solver_score_calculation_speed_count{solver_id="100tasks-5employees.xml",} 1.0
    solver_score_calculation_speed_sum{solver_id="100tasks-5employees.xml",} 6997.0
    solver_score_calculation_speed_count{solver_id="24tasks-8employees.xml",} 1.0
    solver_score_calculation_speed_sum{solver_id="24tasks-8employees.xml",} 19772.0
    # HELP kie_server_case_started_total Kie Server Started Cases
    # TYPE kie_server_case_started_total counter
    kie_server_case_started_total{case_definition_id="itorders.orderhardware",} 1.0
    # HELP kie_server_case_running_total Kie Server Running Cases
    # TYPE kie_server_case_running_total gauge
    kie_server_case_running_total{case_definition_id="itorders.orderhardware",} 2.0
    # HELP kie_server_data_set_registered_total Kie Server Data Set Registered
    # TYPE kie_server_data_set_registered_total gauge
    kie_server_data_set_registered_total{name="jbpmProcessInstanceLogs::CUSTOM",uuid="jbpmProcessInstanceLogs",} 1.0
    kie_server_data_set_registered_total{name="jbpmRequestList::CUSTOM",uuid="jbpmRequestList",} 1.0
    kie_server_data_set_registered_total{name="tasksMonitoring::CUSTOM",uuid="tasksMonitoring",} 1.0
    kie_server_data_set_registered_total{name="jbpmHumanTasks::CUSTOM",uuid="jbpmHumanTasks",} 1.0
    kie_server_data_set_registered_total{name="jbpmHumanTasksWithUser::FILTERED_PO_TASK",uuid="jbpmHumanTasksWithUser",} 1.0
    kie_server_data_set_registered_total{name="jbpmHumanTasksWithVariables::CUSTOM",uuid="jbpmHumanTasksWithVariables",} 1.0
    kie_server_data_set_registered_total{name="jbpmProcessInstancesWithVariables::CUSTOM",uuid="jbpmProcessInstancesWithVariables",} 1.0
    kie_server_data_set_registered_total{name="jbpmProcessInstances::CUSTOM",uuid="jbpmProcessInstances",} 1.0
    kie_server_data_set_registered_total{name="jbpmExecutionErrorList::CUSTOM",uuid="jbpmExecutionErrorList",} 1.0
    kie_server_data_set_registered_total{name="processesMonitoring::CUSTOM",uuid="processesMonitoring",} 1.0
    kie_server_data_set_registered_total{name="jbpmHumanTasksWithAdmin::FILTERED_BA_TASK",uuid="jbpmHumanTasksWithAdmin",} 1.0
    # HELP kie_server_execution_error_total Kie Server Execution Errors
    # TYPE kie_server_execution_error_total counter
    # HELP kie_server_task_completed_total Kie Server Completed Tasks
    # TYPE kie_server_task_completed_total counter
    # HELP kie_server_container_running_total Kie Server Running Containers
    # TYPE kie_server_container_running_total gauge
    kie_server_container_running_total{container_id="itorders_1.0.0-SNAPSHOT",} 1.0
    # HELP kie_server_job_cancelled_total Kie Server Cancelled Jobs
    # TYPE kie_server_job_cancelled_total counter
    # HELP kie_server_process_instance_started_total Kie Server Started Process Instances
    # TYPE kie_server_process_instance_started_total counter
    kie_server_process_instance_started_total{container_id="itorders_1.0.0-SNAPSHOT",process_id="itorders.orderhardware",} 1.0
    # HELP solver_duration_seconds Time in seconds it took solver to solve the constraint problem
    # TYPE solver_duration_seconds summary
    # HELP kie_server_task_skipped_total Kie Server Skipped Tasks
    # TYPE kie_server_task_skipped_total counter
    # HELP kie_server_data_set_execution_time_seconds Kie Server Data Set Execution Time
    # TYPE kie_server_data_set_execution_time_seconds summary
    kie_server_data_set_execution_time_seconds_count{uuid="jbpmProcessInstances",} 8.0
    kie_server_data_set_execution_time_seconds_sum{uuid="jbpmProcessInstances",} 0.05600000000000001
    # HELP kie_server_job_scheduled_total Kie Server Started Jobs
    # TYPE kie_server_job_scheduled_total counter
    # HELP kie_server_data_set_execution_total Kie Server Data Set Execution
    # TYPE kie_server_data_set_execution_total counter
    kie_server_data_set_execution_total{uuid="jbpmProcessInstances",} 8.0
    # HELP kie_server_process_instance_completed_total Kie Server Completed Process Instances
    # TYPE kie_server_process_instance_completed_total counter
    # HELP kie_server_job_running_total Kie Server Running Jobs
    # TYPE kie_server_job_running_total gauge
    # HELP kie_server_task_failed_total Kie Server Failed Tasks
    # TYPE kie_server_task_failed_total counter
    # HELP kie_server_task_exited_total Kie Server Exited Tasks
    # TYPE kie_server_task_exited_total counter
    # HELP dmn_evaluate_decision_nanosecond DMN Evaluation Time
    # TYPE dmn_evaluate_decision_nanosecond histogram
    # HELP kie_server_data_set_lookups_total Kie Server Data Set Running Lookups
    # TYPE kie_server_data_set_lookups_total gauge
    kie_server_data_set_lookups_total{uuid="jbpmProcessInstances",} 0.0
    # HELP kie_server_process_instance_duration_seconds Kie Server Process Instances Duration
    # TYPE kie_server_process_instance_duration_seconds summary
    # HELP kie_server_case_duration_seconds Kie Server Case Duration
    # TYPE kie_server_case_duration_seconds summary
    # HELP dmn_evaluate_failed_count DMN Evaluation Failed
    # TYPE dmn_evaluate_failed_count counter
    # HELP kie_server_task_added_total Kie Server Added Tasks
    # TYPE kie_server_task_added_total counter
    kie_server_task_added_total{deployment_id="itorders_1.0.0-SNAPSHOT",process_id="itorders.orderhardware",task_name="Prepare hardware spec",} 1.0
    # HELP drl_match_fired_nanosecond Drools Firing Time
    # TYPE drl_match_fired_nanosecond histogram
    # HELP kie_server_container_started_total Kie Server Started Containers
    # TYPE kie_server_container_started_total counter
    kie_server_container_started_total{container_id="itorders_1.0.0-SNAPSHOT",} 1.0
    # HELP kie_server_process_instance_sla_violated_total Kie Server Process Instances SLA Violated
    # TYPE kie_server_process_instance_sla_violated_total counter
    # HELP kie_server_task_duration_seconds Kie Server Task Duration
    # TYPE kie_server_task_duration_seconds summary
    # HELP kie_server_job_executed_total Kie Server Executed Jobs
    # TYPE kie_server_job_executed_total counter
    # HELP kie_server_deployments_active_total Kie Server Active Deployments
    # TYPE kie_server_deployments_active_total gauge
    kie_server_deployments_active_total{deployment_id="itorders_1.0.0-SNAPSHOT",} 1.0
    # HELP kie_server_process_instance_running_total Kie Server Running Process Instances
    # TYPE kie_server_process_instance_running_total gauge
    kie_server_process_instance_running_total{container_id="itorders_1.0.0-SNAPSHOT",process_id="itorders.orderhardware",} 2.0
    # HELP solvers_running Number of solvers currently running
    # TYPE solvers_running gauge
    solvers_running 0.0
    # HELP kie_server_work_item_duration_seconds Kie Server Work Items Duration
    # TYPE kie_server_work_item_duration_seconds summary
    # HELP kie_server_job_duration_seconds Kie Server Job Duration
    # TYPE kie_server_job_duration_seconds summary
    # HELP solver_score_calculation_speed Number of moves per second for a particular solver solving the constraint problem
    # TYPE solver_score_calculation_speed summary
    # HELP kie_server_start_time Kie Server Start Time
    # TYPE kie_server_start_time gauge
    kie_server_start_time{name="sample-server",server_id="sample-server",location="http://localhost:8080/kie-server/services/rest/server",version="7.39.1-SNAPSHOT",} 1.557285486469E12

    If the metrics are not available in KIE Server, review and verify the KIE Server and Prometheus configurations described in this section.

    You can also interact with your collected metrics in the Prometheus expression browser at http://HOST:PORT/graph, or integrate your Prometheus data source with a data-graphing tool such as Grafana:

    Figure 18.1. Prometheus expression browser with KIE Server metrics

    prometheus expression browser data

    Figure 18.2. Prometheus expression browser with KIE Server target

    prometheus expression browser targets

    Figure 18.3. Grafana dashboard with KIE Server metrics for DMN models

    prometheus grafana data dmn

    Figure 18.4. Grafana dashboard with KIE Server metrics for solvers

    prometheus grafana data optimizer

    Figure 18.5. Grafana dashboard with KIE Server metrics for processes, cases, and tasks

    prometheus grafana data jbpm

18.2. Configuring Prometheus metrics monitoring for KIE Server on Red Hat OpenShift Container Platform

You can configure your KIE Server deployment on Red Hat OpenShift Container Platform to use Prometheus to collect and store metrics related to your business asset activity in Red Hat Process Automation Manager. For the list of available metrics that KIE Server exposes with Prometheus, download the Red Hat Process Automation Manager 7.8.0 Source Distribution from the Red Hat Customer Portal and navigate to ~/rhpam-7.8.0-sources/src/droolsjbpm-integration-$VERSION/kie-server-parent/kie-server-services/kie-server-services-prometheus/src/main/java/org/kie/server/services/prometheus.

Prerequisites

  • KIE Server is installed and deployed on Red Hat OpenShift Container Platform. For more information about KIE Server on OpenShift, see the relevant OpenShift deployment option in the Product documentation for Red Hat Process Automation Manager 7.8.
  • You have kie-server user role access to KIE Server.
  • Prometheus Operator is installed. For information about downloading and using Prometheus Operator, see the Prometheus Operator project in GitHub.

Procedure

  1. In the DeploymentConfig object of your KIE Server deployment on OpenShift, set the PROMETHEUS_SERVER_EXT_DISABLED environment variable to false to enable the Prometheus extension. You can set this variable in the OpenShift web console or use the oc command in a command terminal:

    oc set env dc/<dc_name> PROMETHEUS_SERVER_EXT_DISABLED=false -n <namespace>

    If you have not yet deployed your KIE Server on OpenShift, then in the OpenShift template that you plan to use for your OpenShift deployment (for example, rhpam78-prod-immutable-kieserver.yaml), you can set the PROMETHEUS_SERVER_EXT_DISABLED template parameter to false to enable the Prometheus extension.

    If you are using the OpenShift Operator to deploy KIE Server on OpenShift, then in your KIE Server configuration, set the PROMETHEUS_SERVER_EXT_DISABLED environment variable to false to enable the Prometheus extension:

    apiVersion: app.kiegroup.org/v1
    kind: KieApp
    metadata:
      name: enable-prometheus
    spec:
      environment: rhpam-trial
      objects:
        servers:
        - env:
          - name: PROMETHEUS_SERVER_EXT_DISABLED
            value: "false"
  2. Create a service-metrics.yaml file to add a service that exposes the metrics from KIE Server to Prometheus:

    apiVersion: v1
    kind: Service
    metadata:
      annotations:
        description: RHPAM Prometheus metrics exposed
      labels:
        app: myapp-kieserver
        application: myapp-kieserver
        template: myapp-kieserver
        metrics: rhpam
      name: rhpam-app-metrics
    spec:
      ports:
        - name: web
          port: 8080
          protocol: TCP
          targetPort: 8080
      selector:
        deploymentConfig: myapp-kieserver
      sessionAffinity: None
      type: ClusterIP
  3. In a command terminal, use the oc command to apply the service-metrics.yaml file to your OpenShift deployment:

    oc apply -f service-metrics.yaml
  4. Create an OpenShift secret, such as metrics-secret, to access the Prometheus metrics on KIE Server. The secret must contain the "username" and "password" elements with KIE Server user credentials. For information about OpenShift secrets, see the Secrets chapter in the OpenShift Developer Guide.
  5. Create a service-monitor.yaml file that defines the ServiceMonitor object. A service monitor enables Prometheus to connect to the KIE Server metrics service.

    apiVersion: monitoring.coreos.com/v1
    kind: ServiceMonitor
    metadata:
      name: rhpam-service-monitor
      labels:
        team: frontend
    spec:
      selector:
        matchLabels:
          metrics: rhpam
      endpoints:
        - port: web
          path: /services/rest/metrics
          basicAuth:
            password:
              name: metrics-secret
              key: password
            username:
              name: metrics-secret
              key: username
  6. In a command terminal, use the oc command to apply the service-monitor.yaml file to your OpenShift deployment:

    oc apply -f service-monitor.yaml

    After you complete these configurations, Prometheus begins collecting metrics and KIE Server publishes the metrics to the REST API endpoint http://HOST:PORT/kie-server/services/rest/metrics.

    You can interact with your collected metrics in the Prometheus expression browser at http://HOST:PORT/graph, or integrate your Prometheus data source with a data-graphing tool such as Grafana.

    The host and port for the Prometheus expression browser location http://HOST:PORT/graph was defined in the route where you exposed the Prometheus web console when you installed the Prometheus Operator. For information about OpenShift routes, see the Routes chapter in the OpenShift Architecture documentation.

    Figure 18.6. Prometheus expression browser with KIE Server metrics

    prometheus expression browser data

    Figure 18.7. Prometheus expression browser with KIE Server target

    prometheus expression browser targets ocp

    Figure 18.8. Grafana dashboard with KIE Server metrics for DMN models

    prometheus grafana data dmn

    Figure 18.9. Grafana dashboard with KIE Server metrics for solvers

    prometheus grafana data optimizer

    Figure 18.10. Grafana dashboard with KIE Server metrics for processes, cases, and tasks

    prometheus grafana data jbpm

18.3. Extending Prometheus metrics monitoring in KIE Server with custom metrics

After you configure your KIE Server instance to use Prometheus metrics monitoring, you can extend the Prometheus functionality in KIE Server to use custom metrics according to your business needs. Prometheus then collects and stores your custom metrics along with the default metrics that KIE Server exposes with Prometheus.

As an example, this procedure defines custom Decision Model and Notation (DMN) metrics to be collected and stored by Prometheus.

Prerequisites

Procedure

  1. Create an empty Maven project and define the following packaging type and dependencies in the pom.xml file for the project:

    Example pom.xml file in the sample project

    <packaging>jar</packaging>
    
    <properties>
      <version.org.kie>7.39.0.Final-redhat-00005</version.org.kie>
    </properties>
    
    <dependencies>
      <dependency>
        <groupId>org.kie</groupId>
        <artifactId>kie-api</artifactId>
        <version>${version.org.kie}</version>
      </dependency>
      <dependency>
        <groupId>org.kie.server</groupId>
        <artifactId>kie-server-api</artifactId>
        <version>${version.org.kie}</version>
      </dependency>
      <dependency>
        <groupId>org.kie.server</groupId>
        <artifactId>kie-server-services-common</artifactId>
        <version>${version.org.kie}</version>
      </dependency>
      <dependency>
        <groupId>org.kie.server</groupId>
        <artifactId>kie-server-services-drools</artifactId>
        <version>${version.org.kie}</version>
      </dependency>
      <dependency>
        <groupId>org.kie.server</groupId>
        <artifactId>kie-server-services-prometheus</artifactId>
        <version>${version.org.kie}</version>
      </dependency>
      <dependency>
        <groupId>org.kie</groupId>
        <artifactId>kie-dmn-api</artifactId>
        <version>${version.org.kie}</version>
      </dependency>
      <dependency>
        <groupId>org.kie</groupId>
        <artifactId>kie-dmn-core</artifactId>
        <version>${version.org.kie}</version>
      </dependency>
      <dependency>
        <groupId>org.jbpm</groupId>
        <artifactId>jbpm-services-api</artifactId>
        <version>${version.org.kie}</version>
      </dependency>
      <dependency>
        <groupId>org.jbpm</groupId>
        <artifactId>jbpm-executor</artifactId>
        <version>${version.org.kie}</version>
      </dependency>
      <dependency>
        <groupId>org.optaplanner</groupId>
        <artifactId>optaplanner-core</artifactId>
        <version>${version.org.kie}</version>
      </dependency>
      <dependency>
        <groupId>io.prometheus</groupId>
        <artifactId>simpleclient</artifactId>
        <version>0.5.0</version>
      </dependency>
    </dependencies>

  2. Implement the relevant listener from the org.kie.server.services.prometheus.PrometheusMetricsProvider interface as part of the custom listener class that defines your custom Prometheus metrics, as shown in the following example:

    Sample implementation of the DMNRuntimeEventListener listener in a custom listener class

    package org.kie.server.ext.prometheus;
    
    import io.prometheus.client.Gauge;
    import org.kie.dmn.api.core.ast.DecisionNode;
    import org.kie.dmn.api.core.event.AfterEvaluateBKMEvent;
    import org.kie.dmn.api.core.event.AfterEvaluateContextEntryEvent;
    import org.kie.dmn.api.core.event.AfterEvaluateDecisionEvent;
    import org.kie.dmn.api.core.event.AfterEvaluateDecisionServiceEvent;
    import org.kie.dmn.api.core.event.AfterEvaluateDecisionTableEvent;
    import org.kie.dmn.api.core.event.BeforeEvaluateBKMEvent;
    import org.kie.dmn.api.core.event.BeforeEvaluateContextEntryEvent;
    import org.kie.dmn.api.core.event.BeforeEvaluateDecisionEvent;
    import org.kie.dmn.api.core.event.BeforeEvaluateDecisionServiceEvent;
    import org.kie.dmn.api.core.event.BeforeEvaluateDecisionTableEvent;
    import org.kie.dmn.api.core.event.DMNRuntimeEventListener;
    import org.kie.server.api.model.ReleaseId;
    import org.kie.server.services.api.KieContainerInstance;
    
    public class ExampleCustomPrometheusMetricListener implements DMNRuntimeEventListener {
    
        private final KieContainerInstance kieContainer;
    
        private final Gauge randomGauge = Gauge.build()
                .name("random_gauge_nanosecond")
                .help("Random gauge as an example of custom KIE Prometheus metric")
                .labelNames("container_id", "group_id", "artifact_id", "version", "decision_namespace", "decision_name")
                .register();
    
        public ExampleCustomPrometheusMetricListener(KieContainerInstance containerInstance) {
            kieContainer = containerInstance;
        }
    
        public void beforeEvaluateDecision(BeforeEvaluateDecisionEvent e) {
        }
    
        public void afterEvaluateDecision(AfterEvaluateDecisionEvent e) {
            DecisionNode decisionNode = e.getDecision();
            ReleaseId releaseId = kieContainer.getResource().getReleaseId();
            randomGauge.labels(kieContainer.getContainerId(), releaseId.getGroupId(),
                               releaseId.getArtifactId(), releaseId.getVersion(),
                               decisionNode.getModelName(), decisionNode.getModelNamespace())
                    .set((int) (Math.random() * 100));
        }
    
        public void beforeEvaluateBKM(BeforeEvaluateBKMEvent event) {
        }
    
        public void afterEvaluateBKM(AfterEvaluateBKMEvent event) {
        }
    
        public void beforeEvaluateContextEntry(BeforeEvaluateContextEntryEvent event) {
        }
    
        public void afterEvaluateContextEntry(AfterEvaluateContextEntryEvent event) {
        }
    
        public void beforeEvaluateDecisionTable(BeforeEvaluateDecisionTableEvent event) {
        }
    
        public void afterEvaluateDecisionTable(AfterEvaluateDecisionTableEvent event) {
        }
    
        public void beforeEvaluateDecisionService(BeforeEvaluateDecisionServiceEvent event) {
        }
    
        public void afterEvaluateDecisionService(AfterEvaluateDecisionServiceEvent event) {
        }
    }

    The PrometheusMetricsProvider interface contains the required listeners for collecting Prometheus metrics. The interface is incorporated by the kie-server-services-prometheus dependency that you declared in your project pom.xml file.

    In this example, the ExampleCustomPrometheusMetricListener class implements the DMNRuntimeEventListener listener (from the PrometheusMetricsProvider interface) and defines the custom DMN metrics to be collected and stored by Prometheus.

  3. Implement the PrometheusMetricsProvider interface as part of a custom metrics provider class that associates your custom listener with the PrometheusMetricsProvider interface, as shown in the following example:

    Sample implementation of the PrometheusMetricsProvider interface in a custom metrics provider class

    package org.kie.server.ext.prometheus;
    
    import org.jbpm.executor.AsynchronousJobListener;
    import org.jbpm.services.api.DeploymentEventListener;
    import org.kie.api.event.rule.AgendaEventListener;
    import org.kie.api.event.rule.DefaultAgendaEventListener;
    import org.kie.dmn.api.core.event.DMNRuntimeEventListener;
    import org.kie.server.services.api.KieContainerInstance;
    import org.kie.server.services.prometheus.PrometheusMetricsProvider;
    import org.optaplanner.core.impl.phase.event.PhaseLifecycleListener;
    import org.optaplanner.core.impl.phase.event.PhaseLifecycleListenerAdapter;
    
    public class MyPrometheusMetricsProvider implements PrometheusMetricsProvider {
    
        public DMNRuntimeEventListener createDMNRuntimeEventListener(KieContainerInstance kContainer) {
            return new ExampleCustomPrometheusMetricListener(kContainer);
        }
    
        public AgendaEventListener createAgendaEventListener(String kieSessionId, KieContainerInstance kContainer) {
            return new DefaultAgendaEventListener();
        }
    
        public PhaseLifecycleListener createPhaseLifecycleListener(String solverId) {
            return new PhaseLifecycleListenerAdapter() {
            };
        }
    
        public AsynchronousJobListener createAsynchronousJobListener() {
            return null;
        }
    
        public DeploymentEventListener createDeploymentEventListener() {
            return null;
        }
    }

    In this example, the MyPrometheusMetricsProvider class implements the PrometheusMetricsProvider interface and includes your custom ExampleCustomPrometheusMetricListener listener class.

  4. To make the new metrics provider discoverable for KIE Server, create a META-INF/services/org.kie.server.services.prometheus.PrometheusMetricsProvider file in your Maven project and add the fully qualified class name of the PrometheusMetricsProvider implementation class within the file. For this example, the file contains the single line org.kie.server.ext.prometheus.MyPrometheusMetricsProvider.
  5. Build your project and copy the resulting JAR file into the ~/kie-server.war/WEB-INF/lib directory of your project. For example, on Red Hat JBoss EAP, the path to this directory is EAP_HOME/standalone/deployments/kie-server.war/WEB-INF/lib.
  6. Start the KIE Server and deploy the built project to the running KIE Server. You can deploy the project using the Business Central interface or the KIE Server REST API (a PUT request to http://SERVER:PORT/kie-server/services/rest/server/containers/{containerId}).

    After your project is deployed on a running KIE Server, Prometheus begins collecting metrics and KIE Server publishes the metrics to the REST API endpoint http://HOST:PORT/SERVER/services/rest/metrics (or on Spring Boot, to http://HOST:PORT/rest/metrics).

Chapter 19. Configuring OpenShift connection timeout

By default, the OpenShift route is configured to time out HTTP requests that are longer than 30 seconds. This may cause session timeout issues in Business Central resulting in the following behaviors:

  • "Unable to complete your request. The following exception occurred: (TypeError) : Cannot read property 'indexOf' of null."
  • "Unable to complete your request. The following exception occurred: (TypeError) : b is null."
  • A blank page is displayed when clicking the Project or Server links in Business Central.

All Business Central templates already include extended timeout configuration.

To configure longer timeout on Business Central OpenShift routes, add the haproxy.router.openshift.io/timeout: 60s annotation on the target route:

  - kind: Route
    apiVersion: v1
    id: "$APPLICATION_NAME-rhpamcentr-http"
    metadata:
      name: "$APPLICATION_NAME-rhpamcentr"
      labels:
        application: "$APPLICATION_NAME"
      annotations:
        description: Route for Business Central's http service.
        haproxy.router.openshift.io/timeout: 60s
    spec:
      host: "$BUSINESS_CENTRAL_HOSTNAME_HTTP"
      to:
        name: "$APPLICATION_NAME-rhpamcentr"

For a full list of global route-specific timeout annotations, see the OpenShift Documentation.

Chapter 20. Persistence

Binary persistence, or marshaling, converts the state of the process instance into a binary data set. Binary persistence is a mechanism used to store and retrieve information persistently. The same mechanism is also applied to the session state and work item states.

When you enable persistence of a process instance:

  • Red Hat Process Automation Manager transforms the process instance information into binary data. Custom serialization is used instead of Java serialization for performance reasons.
  • The binary data is stored together with other process instance metadata, such as process instance ID, process ID, and the process start date.

The session can also store other forms of state, such as the state of timer jobs, or data required for business rules evaluation. Session state is stored separately as a binary data set along with the ID of the session and metadata. You can restore the session state by reloading a session with given ID. Use ksession.getId() to get the session ID.

Red Hat Process Automation Manager will persist the following when persistence is configured:

  • Session state: This includes the session ID, date of last modification, the session data that business rules would need for evaluation, state of timer jobs.
  • Process instance state: This includes the process instance ID, process ID, date of last modification, date of last read access, process instance start date, runtime data (the execution status including the node being executed, variable values, and other process instance data) and the event types.
  • Work item runtime state: This includes the work item ID, creation date, name, process instance ID, and the work item state itself.

Based on the persisted data, you can restore the state of execution of all running process instances in case of failure or to temporarily remove running instances from memory and restore them later.

20.1. Configuring safe points

To allow persistence, add the jbpm-persistence JAR files to the classpath of your application and configure the process engine to use persistence. The process engine automatically stores the runtime state in the storage when the process engine reaches a safe point.

Safe points are points where the process instance has paused. When a process instance invocation reaches a safe point in the process engine, the process engine stores any changes to the process instance as a snapshot of the process runtime data. However, when a process instance is completed, the persisted snapshot of process instance runtime data is automatically deleted.

BPMN2 safe point nodes ensure that the process engine saves the state of the process definition at the point where the execution stops and the transaction is committed. The following BPMN2 nodes are considered safe points:

  • All intermediate CATCH events

    • Timer Intermediate event
    • Error Intermediate event
    • Conditional Intermediate event
    • Compensation Intermediate event
    • Signal Intermediate event
    • Escalation Intermediate event
    • Message Intermediate event
  • User tasks
  • Custom (defined by the user) service tasks that do not complete the task in the handler

If a failure occurs and you need to restore the process engine runtime from the storage, the process instances are automatically restored and their execution resumes so there is no need to reload and trigger the process instances manually.

Consider the runtime persistence data to be internal to the process engine. You should not access persisted runtime data or modify them directly because this might have unexpected side effects.

For more information about the current execution state, refer to the history log. Query the database for runtime data only if absolutely necessary.

20.2. Session persistence entities

Sessions are persisted as SessionInfo entities. These persist the state of the runtime KIE session, and store the following data:

Table 20.1. SessionInfo

FieldDescriptionNullable

id

The primary key.

NOT NULL

lastModificationDate

The last time that entity was saved to a database.

 

rulesByteArray

The state of a session.

NOT NULL

startDate

The session start time.

 

OPTLOCK

A version field containing a lock value.

 

20.3. Process instance persistence entities

Process instances are persisted as ProcessInstanceInfo entities, which persist the state of a process instance on runtime and store the following data:

Table 20.2. ProcessInstanceInfo

FieldDescriptionNullable

instanceId

The primary key.

NOT NULL

lastModificationDate

The last time that the entity was saved to a database.

 

lastReadDate

The last time that the entity was retrieved from the database.

 

processId

The ID of the process.

 

processInstanceByteArray

The state of a process instance in form of a binary data set.

NOT NULL

startDate

The start time of the process.

 

state

An integer representing the state of a process instance.

NOT NULL

OPTLOCK

A version field containing a lock value.

 

ProcessInstanceInfo has a 1:N relationship to the EventTypes entity.

The EventTypes entity contains the following data:

Table 20.3. EventTypes

FieldDescriptionNullable

instanceId

A reference to the ProcessInstanceInfo primary key and foreign key constraint on this column.

NOT NULL

element

A finished event in the process.

 

20.4. Work item persistence entities

Work items are persisted as workiteminfo entities, which persist the state of the particular work item instance on runtime and store the following data:

Table 20.4. WorkItemInfo

FieldDescriptionNullable

workItemId

The primary key.

NOT NULL

name

The name of the work item.

 

processInstanceId

The (primary key) ID of the process. There is no foreign key constraint on this field.

NOT NULL

state

The state of a work item.

NOT NULL

OPTLOCK

A version field containing a lock value.

 

workitembytearay

The work item state in as a binary data set.

NOT NULL

20.5. Correlation key entities

The CorrelationKeyInfo entity contains information about the correlation key assigned to the given process instance. This table is optional. Use it only when you require correlation capabilities.

Table 20.5. CorrelationKeyInfo

FieldDescriptionNullable

keyId

The primary key.

NOT NULL

name

The assigned name of the correlation key.

 

processInstanceId

The ID of the process instance which is assigned to the correlation key.

NOT NULL

OPTLOCK

A version field containing a lock value.

 

The CorrelationPropertyInfo entity contains information about correlation properties for a correlation key assigned the process instance.

Table 20.6. CorrelationPropertyInfo

FieldDescriptionNullable

propertyId

The primary key.

NOT NULL

name

The name of the property.

 

value

The value of the property.

NOT NULL

OPTLOCK

A version field containing a lock value.

 

correlationKey_keyId

A foreign key mapped to the correlation key.

NOT NULL

20.6. Context mapping entity

The ContextMappingInfo entity contains information about the contextual information mapped to a KieSession. This is an internal part of RuntimeManager and can be considered optional when RuntimeManager is not used.

Table 20.7. ContextMappingInfo

FieldDescriptionNullable

mappingId

The primary key.

NOT NULL

CONTEXT_ID

The context identifier.

NOT NULL

KSESSION_ID

The KieSession identifier.

NOT NULL

OPTLOCK

A version field containing a lock value.

 

OWNER_ID

Holds the identifier of the deployment unit that the given mapping is associated with

 

20.7. Pessimistic Locking Support

The default locking mechanism for persistence of processes is optimistic. With multi-thread high concurrency to the same process instance, this locking strategy can result in bad performance.

This can be changed at runtime to allow the user to set locking on a per process basis and to allow it to be pessimistic (the change can be made at a per KIE Session level or Runtime Manager level as well and not just at the process level).

To set a process to use pessimistic locking, use the following configuration in the runtime environment:

import org.kie.api.runtime.Environment;
import org.kie.api.runtime.EnvironmentName;
import org.kie.api.runtime.manager.RuntimeManager;
import org.kie.api.runtime.manager.RuntimeManagerFactory;

...

env.set(EnvironmentName.USE_PESSIMISTIC_LOCKING, true);  1

RuntimeManager manager = RuntimeManagerFactory.Factory.get().newPerRequestRuntimeManager(environment);  2
1
env is an instance of org.kie.api.runtime.Environment.
2
Create your Runtime Manager by using this environment.

20.8. Persisting process variables in a separate database schema in Red Hat Process Automation Manager

When you create process variables in Red Hat Process Automation Manager to use within the processes that you define, Red Hat Process Automation Manager stores those process variables as binary data in a default database schema. You can persist process variables in a separate database schema for greater flexibility in maintaining and implementing your process data.

For example, persisting your process variables in a separate database schema can help you perform the following tasks:

  • Maintain process variables in human-readable format
  • Make the variables available to services outside of Red Hat Process Automation Manager
  • Clear the log of the default database tables in Red Hat Process Automation Manager without losing process variable data
Note

This procedure applies to process variables only. This procedure does not apply to case variables.

Prerequisites

  • You have defined processes in Red Hat Process Automation Manager for which you want to implement variables.
  • If you want to persist variables in a database schema outside of Red Hat Process Automation Manager, you have created a data source and the separate database schema that you want to use. For information about creating data sources, see Configuring Business Central settings and properties.

Procedure

  1. In the data object file that you use as a process variable, add the following elements to configure variable persistence:

    Example Person.java object configured for variable persistence

    @javax.persistence.Entity  1
    @javax.persistence.Table(name = "Person")  2
    public class Person extends org.drools.persistence.jpa.marshaller.VariableEntity  3
    implements java.io.Serializable {  4
    
    	static final long serialVersionUID = 1L;
    
    	@javax.persistence.GeneratedValue(strategy = javax.persistence.GenerationType.AUTO, generator = "PERSON_ID_GENERATOR")
    	@javax.persistence.Id  5
    	@javax.persistence.SequenceGenerator(name = "PERSON_ID_GENERATOR", sequenceName = "PERSON_ID_SEQ")
    	private java.lang.Long id;
    
    	private java.lang.String name;
    
    	private java.lang.Integer age;
    
    	public Person() {
    	}
    
    	public java.lang.Long getId() {
    		return this.id;
    	}
    
    	public void setId(java.lang.Long id) {
    		this.id = id;
    	}
    
    	public java.lang.String getName() {
    		return this.name;
    	}
    
    	public void setName(java.lang.String name) {
    		this.name = name;
    	}
    
    	public java.lang.Integer getAge() {
    		return this.age;
    	}
    
    	public void setAge(java.lang.Integer age) {
    		this.age = age;
    	}
    
    	public Person(java.lang.Long id, java.lang.String name,
    			java.lang.Integer age) {
    		this.id = id;
    		this.name = name;
    		this.age = age;
    	}
    
    }

    1
    Configures the data object as a persistence entity.
    2
    Defines the database table name used for the data object.
    3
    Creates a separate MappedVariable mapping table that maintains the relationship between this data object and the associated process instance. If you do not need this relationship maintained, you do not need to extend the VariableEntity class. Without this extension, the data object is still persisted, but contains no additional data.
    4
    Configures the data object as a serializable object.
    5
    Sets a persistence ID for the object.

    To make the data object persistable using Business Central, navigate to the data object file in your project, click the Persistence icon in the upper-right corner of the window, and configure the persistence behavior:

    Figure 20.1. Persistence configuration in Business Central

    persistence in central
  2. In the pom.xml file of your project, add the following dependency for persistence support. This dependency contains the VariableEntity class that you configured in your data object.

    Project dependency for persistence

    <dependency>
      <groupId>org.drools</groupId>
      <artifactId>drools-persistence-jpa</artifactId>
      <version>${rhpam.version}</version>
      <scope>provided</scope>
    </dependency>

  3. In the ~/META-INF/kie-deployment-descriptor.xml file of your project, configure the JPA marshalling strategy and a persistence unit to be used with the marshaller. The JPA marshalling strategy and persistence unit are required for objects defined as entities.

    JPA marshaller and persistence unit configured in the kie-deployment-descriptor.xml file

    <marshalling-strategy>
      <resolver>mvel</resolver>
      <identifier>new org.drools.persistence.jpa.marshaller.JPAPlaceholderResolverStrategy("myPersistenceUnit", classLoader)</identifier>
      <parameters/>
    </marshalling-strategy>

  4. In the ~/META-INF directory of your project, create a persistence.xml file that specifies in which data source you want to persist the process variable:

    Example persistence.xml file with data source configuration

    <persistence xmlns="http://java.sun.com/xml/ns/persistence" xmlns:orm="http://java.sun.com/xml/ns/persistence/orm" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" version="2.0" xsi:schemaLocation="http://java.sun.com/xml/ns/persistence http://java.sun.com/xml/ns/persistence/persistence_2_0.xsd http://java.sun.com/xml/ns/persistence/orm http://java.sun.com/xml/ns/persistence/orm_2_0.xsd">
        <persistence-unit name="myPersistenceUnit" transaction-type="JTA">
            <provider>org.hibernate.jpa.HibernatePersistenceProvider</provider>
            <jta-data-source>java:jboss/datasources/ExampleDS</jta-data-source>  1
            <class>org.space.example.Person</class>
            <exclude-unlisted-classes>true</exclude-unlisted-classes>
            <properties>
                <property name="hibernate.dialect" value="org.hibernate.dialect.PostgreSQLDialect"/>
                <property name="hibernate.max_fetch_depth" value="3"/>
                <property name="hibernate.hbm2ddl.auto" value="update"/>
                <property name="hibernate.show_sql" value="true"/>
                <property name="hibernate.id.new_generator_mappings" value="false"/>
                <property name="hibernate.transaction.jta.platform" value="org.hibernate.service.jta.platform.internal.JBossAppServerJtaPlatform"/>
            </properties>
        </persistence-unit>
    </persistence>

    1
    Sets the data source in which the process variable is persisted

    To configure the marshalling strategy, persistence unit, and data source using Business Central, navigate to project SettingsDeploymentsMarshalling Strategies and to project SettingsPersistence:

    Figure 20.2. JPA marshaller configuration in Business Central

    jpa marhsalling strategy

    Figure 20.3. Persistence unit and data source configuration in Business Central

    persistence unit

Chapter 21. Define the LDAP login domain

When you are setting up Red Hat Process Automation Manager to use LDAP for authentication and authorization, define the LDAP login domain because the Git SSH authentication may use another security domain.

To define the LDAP login domain, use the org.uberfire.domain system property. For example, on Red Hat JBoss Enterprise Application Platform, add this property in the standalone.xml file as shown:

 <system-properties>
   <!-- other system properties -->
   <property name="org.uberfire.domain" value="LDAPAuth"/>
 </system-properties>

Ensure that the authenticated user has appropriate roles (admin,analyst,reviewer) associated with it in LDAP.

Chapter 22. Authenticating third-party clients through RH-SSO

To use the different remote services provided by Business Central or by KIE Server, your client, such as curl, wget, web browser, or a custom REST client, must authenticate through the RH-SSO server and have a valid token to perform the requests. To use the remote services, the authenticated user must have the following roles:

  • rest-all for using Business Central remote services.
  • kie-server for using the KIE Server remote services.

Use the RH-SSO Admin Console to create these roles and assign them to the users that will consume the remote services.

Your client can authenticate through RH-SSO using one of these options:

  • Basic authentication, if it is supported by the client
  • Token-based authentication

22.1. Basic authentication

If you enabled basic authentication in the RH-SSO client adapter configuration for both Business Central and KIE Server, you can avoid the token grant and refresh calls and call the services as shown in the following examples:

  • For web based remote repositories endpoint:

    curl http://admin:password@localhost:8080/business-central/rest/repositories
  • For KIE Server:

    curl http://admin:password@localhost:8080/kie-server/services/rest/server/

Chapter 23. KIE Server system properties

The KIE Server accepts the following system properties (bootstrap switches) to configure the behavior of the server:

Table 23.1. System properties for disabling KIE Server extensions

PropertyValuesDefaultDescription

org.drools.server.ext.disabled

true, false

false

If set to true, disables the Business Rule Management (BRM) support (for example, rules support).

org.jbpm.server.ext.disabled

true, false

false

If set to true, disables the Red Hat Process Automation Manager support (for example, processes support).

org.jbpm.ui.server.ext.disabled

true, false

false

If set to true, disables the Red Hat Process Automation Manager UI extension.

org.jbpm.case.server.ext.disabled

true, false

false

If set to true, disables the Red Hat Process Automation Manager case management extension.

org.optaplanner.server.ext.disabled

true, false

false

If set to true, disables the Red Hat Business Optimizer support.

org.kie.prometheus.server.ext.disabled

true, false

true

If set to true, disables the Prometheus Server extension.

org.kie.scenariosimulation.server.ext.disabled

true, false

true

If set to true, disables the Test scenario Server extension.

org.kie.dmn.server.ext.disabled

true, false

false

If set to true, disables the KIE Server DMN support.

org.kie.swagger.server.ext.disabled

true, false

false

If set to true, disables the KIE Server swagger documentation support

Note

Some Process Automation Manager controller properties listed in the following table are marked as required. Set these properties when you create or remove KIE Server containers in Business Central. If you use the KIE Server separately without any interaction with Business Central, you do not need to set the required properties.

Table 23.2. System properties required for Process Automation Manager controller

PropertyValuesDefaultDescription

org.kie.server.id

String

N/A

An arbitrary ID to be assigned to the server. If a headless Process Automation Manager controller is configured outside of Business Central, this is the ID under which the server connects to the headless Process Automation Manager controller to fetch the KIE container configurations. If not provided, the ID is automatically generated.

org.kie.server.user

String

kieserver

The user name used to connect with the KIE Server from the Process Automation Manager controller, required when running in managed mode. Set this property in Business Central system properties. Set this property when using a Process Automation Manager controller.

org.kie.server.pwd

String

kieserver1!

The password used to connect with the KIE Server from the Process Automation Manager controller, required when running in managed mode. Set this property in Business Central system properties. Set this property when using a Process Automation Manager controller.

org.kie.server.token

String

N/A

A property that enables you to use token-based authentication between the Process Automation Manager controller and the KIE Server instead of the basic user name and password authentication. The Process Automation Manager controller sends the token as a parameter in the request header. The server requires long-lived access tokens because the tokens are not refreshed.

org.kie.server.location

URL

N/A

The URL of the KIE Server instance used by the Process Automation Manager controller to call back on this server, for example, http://localhost:8230/kie-server/services/rest/server. Setting this property is required when using a Process Automation Manager controller.

org.kie.server.controller

Comma-separated list

N/A

A comma-separated list of URLs to the Process Automation Manager controller REST endpoints, for example, http://localhost:8080/business-central/rest/controller. Setting this property is required when using a Process Automation Manager controller.

org.kie.server.controller.user

String

kieserver

The user name to connect to the Process Automation Manager controller REST API. Setting this property is required when using a Process Automation Manager controller.

org.kie.server.controller.pwd

String

kieserver1!

The password to connect to the Process Automation Manager controller REST API. Setting this property is required when using a Process Automation Manager controller.

org.kie.server.controller.token

String

N/A

A property that enables you to use token-based authentication between the KIE Server and the Process Automation Manager controller instead of the basic user name and password authentication. The server sends the token as a parameter in the request header. The server requires long-lived access tokens because the tokens are not refreshed.

org.kie.server.controller.connect

Long

10000

The waiting time in milliseconds between repeated attempts to connect the KIE Server to the Process Automation Manager controller when the server starts.

Table 23.3. Persistence system properties

PropertyValuesDefaultDescription

org.kie.server.persistence.ds

String

N/A

A data source JNDI name. Set this property when enabling the BPM support.

org.kie.server.persistence.tm

String

N/A

A transaction manager platform for Hibernate properties. Set this property when enabling the BPM support.

org.kie.server.persistence.dialect

String

N/A

The Hibernate dialect to be used. Set this property when enabling the BPM support.

org.kie.server.persistence.schema

String

N/A

The database schema to be used.

Table 23.4. Executor system properties

PropertyValuesDefaultDescription

org.kie.executor.interval

Integer

0

The time between the moment the Red Hat Process Automation Manager executor finishes a job and the moment it starts a new one, in a time unit specified in the org.kie.executor.timeunit property.

org.kie.executor.timeunit

java.util.concurrent.TimeUnit constant

SECONDS

The time unit in which the org.kie.executor.interval property is specified.

org.kie.executor.pool.size

Integer

1

The number of threads used by the Red Hat Process Automation Manager executor.

org.kie.executor.retry.count

Integer

3

The number of retries the Red Hat Process Automation Manager executor attempts on a failed job.

org.kie.executor.jms.queue

String

queue/KIE.SERVER.EXECUTOR

Job executor JMS queue for KIE Server.

org.kie.executor.disabled

true, false

false

If set to true, disables the KIE Server executor.

Table 23.5. Human task system properties

PropertyValuesDefaultDescription

org.jbpm.ht.callback

mvel

ldap

db

jaas

props

custom

jaas

A property that specifies the implementation of user group callback to be used:

  • mvel: Default; mostly used for testing.
  • ldap: LDAP; requires additional configuration in the jbpm.usergroup.callback.properties file.
  • db: Database; requires additional configuration in the jbpm.usergroup.callback.properties file.
  • jaas: JAAS; delegates to the container to fetch information about user data.
  • props: A simple property file; requires additional file that keeps all information (users and groups).
  • custom: A custom implementation; specify the fully qualified name of the class in the org.jbpm.ht.custom.callback property.

org.jbpm.ht.custom.callback

Fully qualified name

N/A

A custom implementation of the UserGroupCallback interface in case the org.jbpm.ht.callback property is set to custom.

org.jbpm.task.cleanup.enabled

true, false

true

Enables task cleanup job listener to remove tasks once the process instance is completed.

org.jbpm.task.bam.enabled

true, false

true

Enables task BAM module to store task related information.

org.jbpm.ht.admin.user

String

Administrator

User who can access all the tasks from KIE Server.

org.jbpm.ht.admin.group

String

Administrators

The group that users must belong to in order to view all the tasks from KIE Server.

Table 23.6. System properties for loading keystore

PropertyValuesDefaultDescription

kie.keystore.keyStoreURL

URL

N/A

The URL is used to load a Java Cryptography Extension KeyStore (JCEKS). For example, file:///home/kie/keystores/keystore.jceks.

kie.keystore.keyStorePwd

String

N/A

The password is used for the JCEKS.

kie.keystore.key.server.alias

String

N/A

The alias name of the key for REST services where the password is stored.

kie.keystore.key.server.pwd

String

N/A

The password of an alias for REST services.

kie.keystore.key.ctrl.alias

String

N/A

The alias of the key for default REST Process Automation Manager controller.

kie.keystore.key.ctrl.pwd

String

N/A

The password of an alias for default REST Process Automation Manager controller.

Table 23.7. Other system properties

PropertyValuesDefaultDescription

kie.maven.settings.custom

Path

N/A

The location of a custom settings.xml file for Maven configuration.

kie.server.jms.queues.response

String

queue/KIE.SERVER.RESPONSE

The response queue JNDI name for JMS.

org.drools.server.filter.classes

true, false

false

When set to true, the Drools KIE Server extension accepts custom classes annotated by the XmlRootElement or Remotable annotations only.

org.kie.server.bypass.auth.user

true, false

false

A property that enables you to bypass the authenticated user for task-related operations, for example queries.

org.jbpm.rule.task.firelimit

Integer

10000

This property specifies the maximum number of executed rules to avoid situations where rules run into an infinite loop and make the server completely unresponsive.

org.jbpm.ejb.timer.local.cache

true, false

true

This property turns off the EJB Timers local cache.

org.kie.server.domain

String

N/A

The JAAS LoginContext domain used to authenticate users when using JMS.

org.kie.server.repo

Path

.

The location where KIE Server state files are stored.

org.kie.server.sync.deploy

true, false

false

A property that instructs the KIE Server to hold the deployment until the Process Automation Manager controller provides the container deployment configuration. This property only affects servers running in managed mode. The following options are available:

* false: The connection to the Process Automation Manager controller is asynchronous. The application starts, connects to the Process Automation Manager controller, and once successful, deploys the containers. The application accepts requests even before the containers are available. * true: The deployment of the server application joins the Process Automation Manager controller connection thread with the main deployment and awaits its completion. This option can lead to a potential deadlock in case more applications are on the same server. Use only one application on one server instance.

org.kie.server.startup.strategy

ControllerBasedStartupStrategy, LocalContainersStartupStrategy

ControllerBasedStartupStrategy

The Startup strategy of KIE Server used to control the KIE containers that are deployed and the order in which they are deployed.

org.kie.server.mgmt.api.disabled

true, false

false

When set to true, disables KIE Server management API.

org.kie.server.xstream.enabled.packages

Java packages like org.kie.example. You can also specify wildcard expressions like org.kie.example.*.

N/A

A property that specifies additional packages to whitelist for marshalling using XStream.

org.kie.store.services.class

String

org.drools.persistence.jpa.KnowledgeStoreServiceImpl

Fully qualified name of the class that implements KieStoreServices that are responsible for bootstrapping KieSession instances.

org.kie.server.strict.id.format

true, false

false

While using JSON marshalling, if the property is set to true, it will always return a response in the proper JSON format. For example, if the original response contains only a single number, then the response is wrapped in a JSON format. For example, {"value" : 1}.

Chapter 24. KIE Server capabilities and extensions

The capabilities in KIE Server are determined by plug-in extensions that you can enable, disable, or further extend to meet your business needs. KIE Server supports the following default capabilities and extensions:

Table 24.1. KIE Server capabilities and extensions

Capability nameExtension nameDescription

KieServer

KieServer

Provides the core capabilities of KIE Server, such as creating and disposing KIE containers on your server instance

BRM

Drools

Provides the Business Rule Management (BRM) capabilities, such as inserting facts and executing business rules

BPM

jBPM

Provides the Business Process Management (BPM) capabilities, such as managing user tasks and executing business processes

BPM-UI

jBPM-UI

Provides additional user-interface capabilities related to business processes, such as rendering XML forms and SVG images in process diagrams

CaseMgmt

Case-Mgmt

Provides the case management capabilities for business processes, such as managing case definitions and milestones

BRP

OptaPlanner

Provides the Business Resource Planning (BRP) capabilities, such as implementing solvers

DMN

DMN

Provides the Decision Model and Notation (DMN) capabilities, such as managing DMN data types and executing DMN models

Swagger

Swagger

Provides the Swagger web-interface capabilities for interacting with the KIE Server REST API

To view the supported extensions of a running KIE Server instance, send a GET request to the following REST API endpoint and review the XML or JSON server response:

Base URL for GET request for KIE Server information

http://SERVER:PORT/kie-server/services/rest/server

Example JSON response with KIE Server information

{
  "type": "SUCCESS",
  "msg": "Kie Server info",
  "result": {
    "kie-server-info": {
      "id": "test-kie-server",
      "version": "7.26.0.20190818-050814",
      "name": "test-kie-server",
      "location": "http://localhost:8080/kie-server/services/rest/server",
      "capabilities": [
        "KieServer",
        "BRM",
        "BPM",
        "CaseMgmt",
        "BPM-UI",
        "BRP",
        "DMN",
        "Swagger"
      ],
      "messages": [
        {
          "severity": "INFO",
          "timestamp": {
            "java.util.Date": 1566169865791
          },
          "content": [
            "Server KieServerInfo{serverId='test-kie-server', version='7.26.0.20190818-050814', name='test-kie-server', location='http:/localhost:8080/kie-server/services/rest/server', capabilities=[KieServer, BRM, BPM, CaseMgmt, BPM-UI, BRP, DMN, Swagger]', messages=null', mode=DEVELOPMENT}started successfully at Sun Aug 18 23:11:05 UTC 2019"
          ]
        }
      ],
      "mode": "DEVELOPMENT"
    }
  }
}

To enable or disable KIE Server extensions, configure the related *.server.ext.disabled KIE Server system property. For example, to disable the BRM capability, set the system property org.drools.server.ext.disabled=true. For all KIE Server system properties, see Chapter 23, KIE Server system properties.

By default, KIE Server extensions are exposed through REST or JMS data transports and use predefined client APIs. You can extend existing KIE Server capabilities with additional REST endpoints, extend supported transport methods beyond REST or JMS, or extend functionality in the KIE Server client.

This flexibility in KIE Server functionality enables you to adapt your KIE Server instances to your business needs, instead of adapting your business needs to the default KIE Server capabilities.

Important

If you extend KIE Server functionality, Red Hat does not support the custom code that you use as part of your custom implementations and extensions.

24.1. Extending an existing KIE Server capability with a custom REST API endpoint

The KIE Server REST API enables you to interact with your KIE containers and business assets (such as business rules, processes, and solvers) in Red Hat Process Automation Manager without using the Business Central user interface. The available REST endpoints are determined by the capabilities enabled in your KIE Server system properties (for example, org.drools.server.ext.disabled=false for the BRM capability). You can extend an existing KIE Server capability with a custom REST API endpoint to further adapt the KIE Server REST API to your business needs.

As an example, this procedure extends the Drools KIE Server extension (for the BRM capability) with the following custom REST API endpoint:

Example custom REST API endpoint

/server/containers/instances/{containerId}/ksession/{ksessionId}

This example custom endpoint accepts a list of facts to be inserted into the working memory of the decision engine, automatically executes all rules, and retrieves all objects from the KIE session in the specified KIE container.

Procedure

  1. Create an empty Maven project and define the following packaging type and dependencies in the pom.xml file for the project:

    Example pom.xml file in the sample project

    <packaging>jar</packaging>
    
    <properties>
      <version.org.kie>7.39.0.Final-redhat-00005</version.org.kie>
    </properties>
    
    <dependencies>
      <dependency>
        <groupId>org.kie</groupId>
        <artifactId>kie-api</artifactId>
        <version>${version.org.kie}</version>
      </dependency>
      <dependency>
        <groupId>org.kie</groupId>
        <artifactId>kie-internal</artifactId>
        <version>${version.org.kie}</version>
      </dependency>
      <dependency>
        <groupId>org.kie.server</groupId>
        <artifactId>kie-server-api</artifactId>
        <version>${version.org.kie}</version>
      </dependency>
      <dependency>
        <groupId>org.kie.server</groupId>
        <artifactId>kie-server-services-common</artifactId>
        <version>${version.org.kie}</version>
      </dependency>
      <dependency>
        <groupId>org.kie.server</groupId>
        <artifactId>kie-server-services-drools</artifactId>
        <version>${version.org.kie}</version>
      </dependency>
      <dependency>
        <groupId>org.kie.server</groupId>
        <artifactId>kie-server-rest-common</artifactId>
        <version>${version.org.kie}</version>
      </dependency>
      <dependency>
        <groupId>org.drools</groupId>
        <artifactId>drools-core</artifactId>
        <version>${version.org.kie}</version>
      </dependency>
      <dependency>
        <groupId>org.drools</groupId>
        <artifactId>drools-compiler</artifactId>
        <version>${version.org.kie}</version>
      </dependency>
      <dependency>
        <groupId>org.slf4j</groupId>
        <artifactId>slf4j-api</artifactId>
        <version>1.7.25</version>
      </dependency>
    </dependencies>

  2. Implement the org.kie.server.services.api.KieServerApplicationComponentsService interface in a Java class in your project, as shown in the following example:

    Sample implementation of the KieServerApplicationComponentsService interface

    public class CusomtDroolsKieServerApplicationComponentsService implements KieServerApplicationComponentsService {  1
    
        private static final String OWNER_EXTENSION = "Drools";  2
    
        public Collection<Object> getAppComponents(String extension, SupportedTransports type, Object... services) {  3
            // Do not accept calls from extensions other than the owner extension:
            if ( !OWNER_EXTENSION.equals(extension) ) {
                return Collections.emptyList();
            }
    
            RulesExecutionService rulesExecutionService = null;  4
            KieServerRegistry context = null;
    
            for( Object object : services ) {
                if( RulesExecutionService.class.isAssignableFrom(object.getClass()) ) {
                    rulesExecutionService = (RulesExecutionService) object;
                    continue;
                } else if( KieServerRegistry.class.isAssignableFrom(object.getClass()) ) {
                    context = (KieServerRegistry) object;
                    continue;
                }
            }
    
            List<Object> components = new ArrayList<Object>(1);
            if( SupportedTransports.REST.equals(type) ) {
                components.add(new CustomResource(rulesExecutionService, context));  5
            }
    
            return components;
        }
    
    }

    1
    Delivers REST endpoints to the KIE Server infrastructure that is deployed when the application starts.
    2
    Specifies the extension that you are extending, such as the Drools extension in this example.
    3
    Returns all resources that the REST container must deploy. Each extension that is enabled in your KIE Server instance calls the getAppComponents method, so the if ( !OWNER_EXTENSION.equals(extension) ) call returns an empty collection for any extensions other than the specified OWNER_EXTENSION extension.
    4
    Lists the services from the specified extension that you want to use, such as the RulesExecutionService and KieServerRegistry services from the Drools extension in this example.
    5
    Specifies the transport type for the extension, either REST or JMS (REST in this example), and the CustomResource class that returns the resource as part of the components list.
  3. Implement the CustomResource class that the KIE Server can use to provide the additional functionality for the new REST resource, as shown in the following example:

    Sample implementation of the CustomResource class

    // Custom base endpoint:
    @Path("server/containers/instances/{containerId}/ksession")
    public class CustomResource {
    
        private static final Logger logger = LoggerFactory.getLogger(CustomResource.class);
    
        private KieCommands commandsFactory = KieServices.Factory.get().getCommands();
    
        private RulesExecutionService rulesExecutionService;
        private KieServerRegistry registry;
    
        public CustomResource() {
    
        }
    
        public CustomResource(RulesExecutionService rulesExecutionService, KieServerRegistry registry) {
            this.rulesExecutionService = rulesExecutionService;
            this.registry = registry;
        }
    
        // Supported HTTP method, path parameters, and data formats:
        @POST
        @Path("/{ksessionId}")
        @Consumes({MediaType.APPLICATION_XML, MediaType.APPLICATION_JSON})
        @Produces({MediaType.APPLICATION_XML, MediaType.APPLICATION_JSON})
        public Response insertFireReturn(@Context HttpHeaders headers,
                @PathParam("containerId") String id,
                @PathParam("ksessionId") String ksessionId,
                String cmdPayload) {
    
            Variant v = getVariant(headers);
            String contentType = getContentType(headers);
    
            // Marshalling behavior and supported actions:
            MarshallingFormat format = MarshallingFormat.fromType(contentType);
            if (format == null) {
                format = MarshallingFormat.valueOf(contentType);
            }
            try {
                KieContainerInstance kci = registry.getContainer(id);
    
                Marshaller marshaller = kci.getMarshaller(format);
    
                List<?> listOfFacts = marshaller.unmarshall(cmdPayload, List.class);
    
                List<Command<?>> commands = new ArrayList<Command<?>>();
                BatchExecutionCommand executionCommand = commandsFactory.newBatchExecution(commands, ksessionId);
    
                for (Object fact : listOfFacts) {
                    commands.add(commandsFactory.newInsert(fact, fact.toString()));
                }
                commands.add(commandsFactory.newFireAllRules());
                commands.add(commandsFactory.newGetObjects());
    
                ExecutionResults results = rulesExecutionService.call(kci, executionCommand);
    
                String result = marshaller.marshall(results);
    
    
                logger.debug("Returning OK response with content '{}'", result);
                return createResponse(result, v, Response.Status.OK);
            } catch (Exception e) {
                // If marshalling fails, return the `call-container` response to maintain backward compatibility:
                String response = "Execution failed with error : " + e.getMessage();
                logger.debug("Returning Failure response with content '{}'", response);
                return createResponse(response, v, Response.Status.INTERNAL_SERVER_ERROR);
            }
    
        }
    }

    In this example, the CustomResource class for the custom endpoint specifies the following data and behavior:

    • Uses the base endpoint server/containers/instances/{containerId}/ksession
    • Uses POST HTTP method
    • Expects the following data to be given in REST requests:

      • The containerId as a path argument
      • The ksessionId as a path argument
      • List of facts as a message payload
    • Supports all KIE Server data formats:

      • XML (JAXB, XStream)
      • JSON
    • Unmarshals the payload into a List<?> collection and, for each item in the list, creates an InsertCommand instance followed by FireAllRules and GetObject commands.
    • Adds all commands to the BatchExecutionCommand instance that calls to the decision engine.
  4. To make the new endpoint discoverable for KIE Server, create a META-INF/services/org.kie.server.services.api.KieServerApplicationComponentsService file in your Maven project and add the fully qualified class name of the KieServerApplicationComponentsService implementation class within the file. For this example, the file contains the single line org.kie.server.ext.drools.rest.CusomtDroolsKieServerApplicationComponentsService.
  5. Build your project and copy the resulting JAR file into the ~/kie-server.war/WEB-INF/lib directory of your project. For example, on Red Hat JBoss EAP, the path to this directory is EAP_HOME/standalone/deployments/kie-server.war/WEB-INF/lib.
  6. Start the KIE Server and deploy the built project to the running KIE Server. You can deploy the project using either the Business Central interface or the KIE Server REST API (a PUT request to http://SERVER:PORT/kie-server/services/rest/server/containers/{containerId}).

    After your project is deployed on a running KIE Server, you can start interacting with your new REST endpoint.

    For this example, you can use the following information to invoke the new endpoint:

    • Example request URL: http://localhost:8080/kie-server/services/rest/server/containers/instances/demo/ksession/defaultKieSession
    • HTTP method: POST
    • HTTP headers:

      • Content-Type: application/json
      • Accept: application/json
    • Example message payload:

      [
        {
          "org.jbpm.test.Person": {
            "name": "john",
            "age": 25
          }
        },
        {
          "org.jbpm.test.Person": {
            "name": "mary",
            "age": 22
          }
        }
      ]
    • Example server response: 200 (success)
    • Example server log output:

      13:37:20,347 INFO  [stdout] (default task-24) Hello mary
      13:37:20,348 INFO  [stdout] (default task-24) Hello john

24.2. Extending KIE Server to use a custom data transport

By default, KIE Server extensions are exposed through REST or JMS data transports. You can extend KIE Server to support a custom data transport to adapt KIE Server transport protocols to your business needs.

As an example, this procedure adds a custom data transport to KIE Server that uses the Drools extension and that is based on Apache MINA, an open-source Java network-application framework. The example custom MINA transport exchanges string-based data that relies on existing marshalling operations and supports only JSON format.

Procedure

  1. Create an empty Maven project and define the following packaging type and dependencies in the pom.xml file for the project:

    Example pom.xml file in the sample project

    <packaging>jar</packaging>
    
    <properties>
      <version.org.kie>7.39.0.Final-redhat-00005</version.org.kie>
    </properties>
    
    <dependencies>
      <dependency>
        <groupId>org.kie</groupId>
        <artifactId>kie-api</artifactId>
        <version>${version.org.kie}</version>
      </dependency>
      <dependency>
        <groupId>org.kie</groupId>
        <artifactId>kie-internal</artifactId>
        <version>${version.org.kie}</version>
      </dependency>
      <dependency>
        <groupId>org.kie.server</groupId>
        <artifactId>kie-server-api</artifactId>
        <version>${version.org.kie}</version>
      </dependency>
      <dependency>
        <groupId>org.kie.server</groupId>
        <artifactId>kie-server-services-common</artifactId>
        <version>${version.org.kie}</version>
      </dependency>
      <dependency>
        <groupId>org.kie.server</groupId>
        <artifactId>kie-server-services-drools</artifactId>
        <version>${version.org.kie}</version>
      </dependency>
      <dependency>
        <groupId>org.drools</groupId>
        <artifactId>drools-core</artifactId>
        <version>${version.org.kie}</version>
      </dependency>
      <dependency>
        <groupId>org.drools</groupId>
        <artifactId>drools-compiler</artifactId>
        <version>${version.org.kie}</version>
      </dependency>
      <dependency>
        <groupId>org.slf4j</groupId>
        <artifactId>slf4j-api</artifactId>
        <version>1.7.25</version>
      </dependency>
      <dependency>
        <groupId>org.apache.mina</groupId>
        <artifactId>mina-core</artifactId>
        <version>2.1.3</version>
      </dependency>
    </dependencies>

  2. Implement the org.kie.server.services.api.KieServerExtension interface in a Java class in your project, as shown in the following example:

    Sample implementation of the KieServerExtension interface

    public class MinaDroolsKieServerExtension implements KieServerExtension {
    
        private static final Logger logger = LoggerFactory.getLogger(MinaDroolsKieServerExtension.class);
    
        public static final String EXTENSION_NAME = "Drools-Mina";
    
        private static final Boolean disabled = Boolean.parseBoolean(System.getProperty("org.kie.server.drools-mina.ext.disabled", "false"));
        private static final String MINA_HOST = System.getProperty("org.kie.server.drools-mina.ext.port", "localhost");
        private static final int MINA_PORT = Integer.parseInt(System.getProperty("org.kie.server.drools-mina.ext.port", "9123"));
    
        // Taken from dependency on the `Drools` extension:
        private KieContainerCommandService batchCommandService;
    
        // Specific to MINA:
        private IoAcceptor acceptor;
    
        public boolean isActive() {
            return disabled == false;
        }
    
        public void init(KieServerImpl kieServer, KieServerRegistry registry) {
    
            KieServerExtension droolsExtension = registry.getServerExtension("Drools");
            if (droolsExtension == null) {
                logger.warn("No Drools extension available, quitting...");
                return;
            }
    
            List<Object> droolsServices = droolsExtension.getServices();
            for( Object object : droolsServices ) {
                // If the given service is null (not configured), continue to the next service:
                if (object == null) {
                    continue;
                }
                if( KieContainerCommandService.class.isAssignableFrom(object.getClass()) ) {
                    batchCommandService = (KieContainerCommandService) object;
                    continue;
                }
            }
            if (batchCommandService != null) {
                acceptor = new NioSocketAcceptor();
                acceptor.getFilterChain().addLast( "codec", new ProtocolCodecFilter( new TextLineCodecFactory( Charset.forName( "UTF-8" ))));
    
                acceptor.setHandler( new TextBasedIoHandlerAdapter(batchCommandService) );
                acceptor.getSessionConfig().setReadBufferSize( 2048 );
                acceptor.getSessionConfig().setIdleTime( IdleStatus.BOTH_IDLE, 10 );
                try {
                    acceptor.bind( new InetSocketAddress(MINA_HOST, MINA_PORT) );
    
                    logger.info("{} -- Mina server started at {} and port {}", toString(), MINA_HOST, MINA_PORT);
                } catch (IOException e) {
                    logger.error("Unable to start Mina acceptor due to {}", e.getMessage(), e);
                }
    
            }
        }
    
        public void destroy(KieServerImpl kieServer, KieServerRegistry registry) {
            if (acceptor != null) {
                acceptor.dispose();
                acceptor = null;
            }
            logger.info("{} -- Mina server stopped", toString());
        }
    
        public void createContainer(String id, KieContainerInstance kieContainerInstance, Map<String, Object> parameters) {
            // Empty, already handled by the `Drools` extension
    
        }
    
        public void disposeContainer(String id, KieContainerInstance kieContainerInstance, Map<String, Object> parameters) {
          // Empty, already handled by the `Drools` extension
    
        }
    
        public List<Object> getAppComponents(SupportedTransports type) {
            // Nothing for supported transports (REST or JMS)
            return Collections.emptyList();
        }
    
        public <T> T getAppComponents(Class<T> serviceType) {
    
            return null;
        }
    
        public String getImplementedCapability() {
            return "BRM-Mina";
        }
    
        public List<Object> getServices() {
            return Collections.emptyList();
        }
    
        public String getExtensionName() {
            return EXTENSION_NAME;
        }
    
        public Integer getStartOrder() {
            return 20;
        }
    
        @Override
        public String toString() {
            return EXTENSION_NAME + " KIE Server extension";
        }
    }

    The KieServerExtension interface is the main extension interface that KIE Server can use to provide the additional functionality for the new MINA transport. The interface consists of the following components:

    Overview of the KieServerExtension interface

    public interface KieServerExtension {
    
        boolean isActive();
    
        void init(KieServerImpl kieServer, KieServerRegistry registry);
    
        void destroy(KieServerImpl kieServer, KieServerRegistry registry);
    
        void createContainer(String id, KieContainerInstance kieContainerInstance, Map<String, Object> parameters);
    
        void disposeContainer(String id, KieContainerInstance kieContainerInstance, Map<String, Object> parameters);
    
        List<Object> getAppComponents(SupportedTransports type);
    
        <T> T getAppComponents(Class<T> serviceType);
    
        String getImplementedCapability();  1
    
        List<Object> getServices();
    
        String getExtensionName();  2
    
        Integer getStartOrder();  3
    }

    1
    Specifies the capability that is covered by this extension. The capability must be unique within KIE Server.
    2
    Defines a human-readable name for the extension.
    3
    Determines when the specified extension should be started. For extensions that have dependencies on other extensions, this setting must not conflict with the parent setting. For example, in this case, this custom extension depends on the Drools extension, which has StartOrder set to 0, so this custom add-on extension must be greater than 0 (set to 20 in the sample implementation).

    In the previous MinaDroolsKieServerExtension sample implementation of this interface, the init method is the main element for collecting services from the Drools extension and for bootstrapping the MINA server. All other methods in the KieServerExtension interface can remain with the standard implementation to fulfill interface requirements.

    The TextBasedIoHandlerAdapter class is the handler on the MINA server that reacts to incoming requests.

  3. Implement the TextBasedIoHandlerAdapter handler for the MINA server, as shown in the following example:

    Sample implementation of the TextBasedIoHandlerAdapter handler

    public class TextBasedIoHandlerAdapter extends IoHandlerAdapter {
    
        private static final Logger logger = LoggerFactory.getLogger(TextBasedIoHandlerAdapter.class);
    
        private KieContainerCommandService batchCommandService;
    
        public TextBasedIoHandlerAdapter(KieContainerCommandService batchCommandService) {
            this.batchCommandService = batchCommandService;
        }
    
        @Override
        public void messageReceived( IoSession session, Object message ) throws Exception {
            String completeMessage = message.toString();
            logger.debug("Received message '{}'", completeMessage);
            if( completeMessage.trim().equalsIgnoreCase("quit") || completeMessage.trim().equalsIgnoreCase("exit") ) {
                session.close(false);
                return;
            }
    
            String[] elements = completeMessage.split("\\|");
            logger.debug("Container id {}", elements[0]);
            try {
                ServiceResponse<String> result = batchCommandService.callContainer(elements[0], elements[1], MarshallingFormat.JSON, null);
    
                if (result.getType().equals(ServiceResponse.ResponseType.SUCCESS)) {
                    session.write(result.getResult());
                    logger.debug("Successful message written with content '{}'", result.getResult());
                } else {
                    session.write(result.getMsg());
                    logger.debug("Failure message written with content '{}'", result.getMsg());
                }
            } catch (Exception e) {
    
            }
        }
    }

    In this example, the handler class receives text messages and executes them in the Drools service.

    Consider the following handler requirements and behavior when you use the TextBasedIoHandlerAdapter handler implementation:

    • Anything that you submit to the handler must be a single line because each incoming transport request is a single line.
    • You must pass a KIE container ID in this single line so that the handler expects the format containerID|payload.
    • You can set a response in the way that it is produced by the marshaller. The response can be multiple lines.
    • The handler supports a stream mode that enables you to send commands without disconnecting from a KIE Server session. To end a KIE Server session in stream mode, send either an exit or quit command to the server.
  4. To make the new data transport discoverable for KIE Server, create a META-INF/services/org.kie.server.services.api.KieServerExtension file in your Maven project and add the fully qualified class name of the KieServerExtension implementation class within the file. For this example, the file contains the single line org.kie.server.ext.mina.MinaDroolsKieServerExtension.
  5. Build your project and copy the resulting JAR file and the mina-core-2.0.9.jar file (which the extension depends on in this example) into the ~/kie-server.war/WEB-INF/lib directory of your project. For example, on Red Hat JBoss EAP, the path to this directory is EAP_HOME/standalone/deployments/kie-server.war/WEB-INF/lib.
  6. Start the KIE Server and deploy the built project to the running KIE Server. You can deploy the project using either the Business Central interface or the KIE Server REST API (a PUT request to http://SERVER:PORT/kie-server/services/rest/server/containers/{containerId}).

    After your project is deployed on a running KIE Server, you can view the status of the new data transport in your KIE Server log and start using your new data transport:

    New data transport in the server log

    Drools-Mina KIE Server extension -- Mina server started at localhost and port 9123
    Drools-Mina KIE Server extension has been successfully registered as server extension

    For this example, you can use Telnet to interact with the new MINA-based data transport in KIE Server:

    Starting Telnet and connecting to KIE Server on port 9123 in a command terminal

    telnet 127.0.0.1 9123

    Example interactions with KIE Server in a command terminal

    Trying 127.0.0.1...
    Connected to localhost.
    Escape character is '^]'.
    
    # Request body:
    demo|{"lookup":"defaultKieSession","commands":[{"insert":{"object":{"org.jbpm.test.Person":{"name":"john","age":25}}}},{"fire-all-rules":""}]}
    
    # Server response:
    {
      "results" : [ {
        "key" : "",
        "value" : 1
      } ],
      "facts" : [ ]
    }
    
    demo|{"lookup":"defaultKieSession","commands":[{"insert":{"object":{"org.jbpm.test.Person":{"name":"mary","age":22}}}},{"fire-all-rules":""}]}
    {
      "results" : [ {
        "key" : "",
        "value" : 1
      } ],
      "facts" : [ ]
    }
    
    demo|{"lookup":"defaultKieSession","commands":[{"insert":{"object":{"org.jbpm.test.Person":{"name":"james","age":25}}}},{"fire-all-rules":""}]}
    {
      "results" : [ {
        "key" : "",
        "value" : 1
      } ],
      "facts" : [ ]
    }
    exit
    Connection closed by foreign host.

    Example server log output

    16:33:40,206 INFO  [stdout] (NioProcessor-2) Hello john
    16:34:03,877 INFO  [stdout] (NioProcessor-2) Hello mary
    16:34:19,800 INFO  [stdout] (NioProcessor-2) Hello james

24.3. Extending the KIE Server client with a custom client API

KIE Server uses predefined client APIs that you can interact with to use KIE Server services. You can extend the KIE Server client with a custom client API to adapt KIE Server services to your business needs.

As an example, this procedure adds a custom client API to KIE Server to accommodate a custom data transport (configured previously for this scenario) that is based on Apache MINA, an open-source Java network-application framework.

Procedure

  1. Create an empty Maven project and define the following packaging type and dependencies in the pom.xml file for the project:

    Example pom.xml file in the sample project

    <packaging>jar</packaging>
    
    <properties>
       <version.org.kie>7.39.0.Final-redhat-00005</version.org.kie>
     </properties>
    
     <dependencies>
       <dependency>
         <groupId>org.kie.server</groupId>
         <artifactId>kie-server-api</artifactId>
         <version>${version.org.kie}</version>
       </dependency>
       <dependency>
          <groupId>org.kie.server</groupId>
          <artifactId>kie-server-client</artifactId>
          <version>${version.org.kie}</version>
        </dependency>
       <dependency>
         <groupId>org.drools</groupId>
         <artifactId>drools-compiler</artifactId>
         <version>${version.org.kie}</version>
       </dependency>
     </dependencies>

  2. Implement the relevant ServicesClient interface in a Java class in your project, as shown in the following example:

    Sample RulesMinaServicesClient interface

    public interface RulesMinaServicesClient extends RuleServicesClient {
    
    }

    A specific interface is required because you must register client implementations based on the interface, and you can have only one implementation for a given interface.

    For this example, the custom MINA-based data transport uses the Drools extension, so this example RulesMinaServicesClient interface extends the existing RuleServicesClient client API from the Drools extension.

  3. Implement the RulesMinaServicesClient interface that the KIE Server can use to provide the additional client functionality for the new MINA transport, as shown in the following example:

    Sample implementation of the RulesMinaServicesClient interface

    public class RulesMinaServicesClientImpl implements RulesMinaServicesClient {
    
        private String host;
        private Integer port;
    
        private Marshaller marshaller;
    
        public RulesMinaServicesClientImpl(KieServicesConfiguration configuration, ClassLoader classloader) {
            String[] serverDetails = configuration.getServerUrl().split(":");
    
            this.host = serverDetails[0];
            this.port = Integer.parseInt(serverDetails[1]);
    
            this.marshaller = MarshallerFactory.getMarshaller(configuration.getExtraJaxbClasses(), MarshallingFormat.JSON, classloader);
        }
    
        public ServiceResponse<String> executeCommands(String id, String payload) {
    
            try {
                String response = sendReceive(id, payload);
                if (response.startsWith("{")) {
                    return new ServiceResponse<String>(ResponseType.SUCCESS, null, response);
                } else {
                    return new ServiceResponse<String>(ResponseType.FAILURE, response);
                }
            } catch (Exception e) {
                throw new KieServicesException("Unable to send request to KIE Server", e);
            }
        }
    
        public ServiceResponse<String> executeCommands(String id, Command<?> cmd) {
            try {
                String response = sendReceive(id, marshaller.marshall(cmd));
                if (response.startsWith("{")) {
                    return new ServiceResponse<String>(ResponseType.SUCCESS, null, response);
                } else {
                    return new ServiceResponse<String>(ResponseType.FAILURE, response);
                }
            } catch (Exception e) {
                throw new KieServicesException("Unable to send request to KIE Server", e);
            }
        }
    
        protected String sendReceive(String containerId, String content) throws Exception {
    
            // Flatten the content to be single line:
            content = content.replaceAll("\\n", "");
    
            Socket minaSocket = null;
            PrintWriter out = null;
            BufferedReader in = null;
    
            StringBuffer data = new StringBuffer();
            try {
                minaSocket = new Socket(host, port);
                out = new PrintWriter(minaSocket.getOutputStream(), true);
                in = new BufferedReader(new InputStreamReader(minaSocket.getInputStream()));
    
                // Prepare and send data:
                out.println(containerId + "|" + content);
                // Wait for the first line:
                data.append(in.readLine());
                // Continue as long as data is available:
                while (in.ready()) {
                    data.append(in.readLine());
                }
    
                return data.toString();
            } finally {
                out.close();
                in.close();
                minaSocket.close();
            }
        }
    }

    This example implementation specifies the following data and behavior:

    • Uses socket-based communication for simplicity
    • Relies on default configurations from the KIE Server client and uses ServerUrl for providing the host and port of the MINA server
    • Specifies JSON as the marshalling format
    • Requires received messages to be JSON objects that start with an open bracket {
    • Uses direct socket communication with a blocking API while waiting for the first line of the response and then reads all lines that are available
    • Does not use stream mode and therefore disconnects the KIE Server session after invoking a command
  4. Implement the org.kie.server.client.helper.KieServicesClientBuilder interface in a Java class in your project, as shown in the following example:

    Sample implementation of the KieServicesClientBuilder interface

    public class MinaClientBuilderImpl implements KieServicesClientBuilder {  1
    
        public String getImplementedCapability() {  2
            return "BRM-Mina";
        }
    
        public Map<Class<?>, Object> build(KieServicesConfiguration configuration, ClassLoader classLoader) {  3
            Map<Class<?>, Object> services = new HashMap<Class<?>, Object>();
    
            services.put(RulesMinaServicesClient.class, new RulesMinaServicesClientImpl(configuration, classLoader));
    
            return services;
        }
    
    }

    1
    Enables you to provide additional client APIs to the generic KIE Server client infrastructure
    2
    Defines the KIE Server capability (extension) that the client uses
    3
    Provides a map of the client implementations, where the key is the interface and the value is the fully initialized implementation
  5. To make the new client API discoverable for the KIE Server client, create a META-INF/services/org.kie.server.client.helper.KieServicesClientBuilder file in your Maven project and add the fully qualified class name of the KieServicesClientBuilder implementation class within the file. For this example, the file contains the single line org.kie.server.ext.mina.client.MinaClientBuilderImpl.
  6. Build your project and copy the resulting JAR file into the ~/kie-server.war/WEB-INF/lib directory of your project. For example, on Red Hat JBoss EAP, the path to this directory is EAP_HOME/standalone/deployments/kie-server.war/WEB-INF/lib.
  7. Start the KIE Server and deploy the built project to the running KIE Server. You can deploy the project using either the Business Central interface or the KIE Server REST API (a PUT request to http://SERVER:PORT/kie-server/services/rest/server/containers/{containerId}).

    After your project is deployed on a running KIE Server, you can start interacting with your new KIE Server client. You use your new client in the same way as the standard KIE Server client, by creating the client configuration and client instance, retrieving the service client by type, and invoking client methods.

    For this example, you can create a RulesMinaServiceClient client instance and invoke operations on KIE Server through the MINA transport:

    Sample implementation to create the RulesMinaServiceClient client

    protected RulesMinaServicesClient buildClient() {
        KieServicesConfiguration configuration = KieServicesFactory.newRestConfiguration("localhost:9123", null, null);
        List<String> capabilities = new ArrayList<String>();
        // Explicitly add capabilities (the MINA client does not respond to `get-server-info` requests):
        capabilities.add("BRM-Mina");
    
        configuration.setCapabilities(capabilities);
        configuration.setMarshallingFormat(MarshallingFormat.JSON);
    
        configuration.addJaxbClasses(extraClasses);
    
        KieServicesClient kieServicesClient =  KieServicesFactory.newKieServicesClient(configuration);
    
        RulesMinaServicesClient rulesClient = kieServicesClient.getServicesClient(RulesMinaServicesClient.class);
    
        return rulesClient;
    }

    Sample configuration to invoke operations on KIE Server through the MINA transport

    RulesMinaServicesClient rulesClient = buildClient();
    
    List<Command<?>> commands = new ArrayList<Command<?>>();
    BatchExecutionCommand executionCommand = commandsFactory.newBatchExecution(commands, "defaultKieSession");
    
    Person person = new Person();
    person.setName("mary");
    commands.add(commandsFactory.newInsert(person, "person"));
    commands.add(commandsFactory.newFireAllRules("fired"));
    
    ServiceResponse<String> response = rulesClient.executeCommands(containerId, executionCommand);
    Assert.assertNotNull(response);
    
    Assert.assertEquals(ResponseType.SUCCESS, response.getType());
    
    String data = response.getResult();
    
    Marshaller marshaller = MarshallerFactory.getMarshaller(extraClasses, MarshallingFormat.JSON, this.getClass().getClassLoader());
    
    ExecutionResultImpl results = marshaller.unmarshall(data, ExecutionResultImpl.class);
    Assert.assertNotNull(results);
    
    Object personResult = results.getValue("person");
    Assert.assertTrue(personResult instanceof Person);
    
    Assert.assertEquals("mary", ((Person) personResult).getName());
    Assert.assertEquals("JBoss Community", ((Person) personResult).getAddress());
    Assert.assertEquals(true, ((Person) personResult).isRegistered());

Chapter 25. Performance tuning considerations with KIE Server

The following key concepts or suggested practices can help you optimize KIE Server performance. These concepts are summarized in this section as a convenience and are explained in more detail in the cross-referenced documentation, where applicable. This section will expand or change as needed with new releases of Red Hat Process Automation Manager.

Ensure that development mode is enabled during development

You can set KIE Server or specific projects in Business Central to use production mode or development mode. By default, KIE Server and all new projects in Business Central are in development mode. This mode provides features that facilitate your development experience, such as flexible project deployment policies, and features that optimize KIE Server performance during development, such as disabled duplicate GAV detection. Use development mode until your Red Hat Process Automation Manager environment is established and completely ready for production mode.

For more information about configuring the environment mode or duplicate GAV detection, see the following resources:

Adapt KIE Server capabilities and extensions to your specific needs

The capabilities in KIE Server are determined by plug-in extensions that you can enable, disable, or further extend to meet your business needs. By default, KIE Server extensions are exposed through REST or JMS data transports and use predefined client APIs. You can extend existing KIE Server capabilities with additional REST endpoints, extend supported transport methods beyond REST or JMS, or extend functionality in the KIE Server client.

This flexibility in KIE Server functionality enables you to adapt your KIE Server instances to your business needs, instead of adapting your business needs to the default KIE Server capabilities.

For information about enabling, disabling, or extending KIE Server capabilities, see Chapter 24, KIE Server capabilities and extensions.

Chapter 26. Additional resources

Appendix A. Versioning information

Documentation last updated on Wednesday, August 12, 2020.

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