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Clustering Pentaho BA Server 5.0.x version

Gangadhara Boranna

Clustering means that 2 or more instances of Pentaho share a common repository. Pentaho 5.0.X now uses the Jackrabbit Content Repository (JCR) for the BA Repository. Pentaho reporting related content, for instance, about reports that you create, examples we provide, report scheduling data, and audit data in the BA Repository. The BA Repository resides on the database that you installed. The BA Repository consists of three repositories: Jackrabbit, Quartz, and Hibernate.
– Jackrabbit contains the solution repository, examples, security data, and content data from reports that you use Pentaho software to create.

– Quartz holds data that is related to scheduling reports and jobs.

– Hibernate holds data that is related to audit logging.
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You can choose to host the BA Repository on the PostgreSQL, MySQL, or Oracle database (by default, Pentaho software is configured to use the PostgreSQL Database). As already mentioned above that each node must have a shared repository, please find the instructions below for initializing and configuring your solution repository,

Initializing: http://infocenter.pentaho.com/help/topic/install_pdi/task_prepare_rdbms_repository.html

Configuring: http://infocenter.pentaho.com/help/topic/install_pdi/task_configure_rdbms_repository.html
You will need to add a section of the code to the repository.xml file found in \biserver-ee\pentaho-solutions\system\jackrabbit directory to allow each node to have a shared journal. Please note that each node must have a Unique ID. This will be explained in detail below. Configuring Each Node to have a Shared Journal: Before we start configuring shared journal, we would need to delete the files mentioned in the below directories,
– delete the contents of tomcat\work and tomcat\temp directories.

– Navigate to biserver-ee\pentaho-solutions\system\jackrabbit\repository directory and remove all files and folders from the final repository folder.

– Navigate to biserver-ee\pentaho-solutions\system\jackrabbit\repository directory and remove all files and folders from the workspaces folder.
Now, in order to configure nodes for a shared journal, we would need to edit the repository.xml file found in \biserver-ee\pentaho-solutions\system\jackrabbit directory. Add the below section of the code at the end.


Run with a cluster journal


<Cluster id=”Unique_ID “>

<Journal class=”org.apache.jackrabbit.core.journal.DatabaseJournal”>

<param name=”revision” value=”${rep.home}/revision.log”/>

<param name=”url” value=”jdbc:postgresql://HOSTNAME:PORT/jackrabbit”/>

<param name=”driver” value=”org.postgresql.Driver”/>

<param name=”user” value=”jcr_user”/>

<param name=”password” value=”password”/>

<param name=”databaseType” value=”postgresql”/>

<param name=”janitorEnabled” value=”true”/>

<param name=”janitorSleep” value=”86400″/>

<param name=”janitorFirstRunHourOfDay” value=”3″/>


You would need to replace the JDBC connection strings(URL, USERNAME, PASSWORD, DATABASE TYPE etc.,) to match to your specific database. Now Jackrabbit journalling is configured. Quartz will also need to be configured to avoid duplicate schedules created on each node.
Configuring Quartz for Cluster :
Navigate to \bi-server\pentaho-solutions\system\quartz and edit the quartz.properties file using a text editor. You will need to make the following changes in order to configure Quartz for cluster,

1. Org.quartz.scheduler.instanceId = AUTO

You will need to set it as AUTo because you can add multiple instances. The default value which would be set is 1.

2. org.quartz.jobStore.isClustered = true

The default value would be false.

3. org.quartz.jobStore.clusterCheckinInterval = 20000

You would need to explicitly add this in quartz properties file.

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Crosstabs De-mystified in Pentaho Reporting

Gangadhara Boranna

Cross-tabs have been on the horizon for several years now. They lived a happy, undisturbed life along with the unicorns and gnomes guarding the pot of gold at the end of the rainbow. In Pentaho BI Implementation, Cross-tabs are an easy and relatively easy way to visualize tabular data along two or more axis. They are an indispensable part of a modern Pentaho Reporting engine.

Although cross-tabs are still an experimental feature, and as such are not up to par with their counterparts in BO reports and the likes. They will not make it into 5.0.X as a stable feature, but even being experimental, they are already powerful enough to create some really useful reports.

How to create a Cross-tab Report?

Step 1: In the report designer go to edit->Preferences. Here you need to enable the “Enable” (unsupported) experimental features

Pentaho BI Implementation and Reporting

Step 2: Once clicked on ‘Apply’, you will be able to see the “crossTab” option in the left hand side features

Pentaho BI Implementation

Step 3: Select, drag & drop the crosstab element into the reporting canvas. You can select the “Inline” or the “banded” option. Similar to Sub report.

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Step 4: Now, create the data source for required for the crosstab report.

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Step 5: Once done, select the required fields at the appropriate places.

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Step 6: The fields will be populated on the reporting canvas. We can now apply the formatting on the reporting fields for a better view of the report.

Pentaho Reporting Designer

Sample report:

Pentaho Reporting Solution
Pentaho Reporting
Benefits of Cross-Tabs in Pentaho BI Implementation and Reporting

Cross-tabs deliver data in a familiar spreadsheet format. They also summarize both vertically and horizontally, have a grid format, and can change size depending on the data.

  • Several of the most compelling reasons for using cross-tabs are
  • Making better use of space
  • Leveraging experience with the spreadsheet format
  • Horizontal expansion
  • Custom formatting

Because in Pentaho BI Implementation cross-tabs are grouped and summarized both vertically and horizontally, they are incredibly efficient at saving space as compared to a typical grouping report. They are very good at showing key information if the information required has at least two levels of grouping.

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