DNode Cluster Management landing page
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Access this landing page by selecting the > Decisioning > Infrastructure > DNode Cluster Management menu item.
The DNode Cluster Management landing page provides an overview of the DNode cluster infrastructure and allows you to manage the and operations participation of Pega 7 nodes in this infrastructure. Pega 7 nodes that are part of this infrastructure are considered DNodes (Data Nodes).
Available in applications that have access to the Decision Management rule sets through Application Rulesets or PegaDM as Built on Application.
A DNode consists of a standard Pega 7 installation augmented by an embedded Cassandra database process. DNodes rely on the Hazelcast Pega 7 clustering implementation and are capable of storing high volumes of data at high speed. By creating a cluster of DNodes, you can leverage Cassandra's attributes to protect data from failure, as well as provide horizontal scalability. As a Pega 7 installation, the DNode is capable to make specialized decisions in real time, allowing you to take data from different sources that are continuously available (or not), and making it available for real time and batch processing. The embedded nature of the persistence solution means that it is also optimized for batch processing.
The DNode Management overview provides information about the nodes in the DNode cluster, and the possible actions on a DNode.
Status | Description |
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ONLINE-PENDING-JOINING | The request was made for the node to join the DNode cluster. |
ONLINE-JOINING | Node is in the process of being enabled, and the server is joining the DNode cluster. |
ONLINE-JOINING-FAILED | Node failed to join the DNode cluster. You can try to add the node again. |
ONLINE-NORMAL | DNode is in normal, functional state. |
ONLINE-LEAVING | Node is in the process of being removed, and the server is leaving the DNode cluster. |
ONLINE-MOVING | DNode is in the process of being moved to a new position in the DNode cluster ring. |
ONLINE-CORRUPTED | The DNode's file system is corrupted. Use the repair operation to make this DNode operational again. |
ONLINE-REPAIRING | The repair operation is running on the DNode. |
ONLINE-COMPACTING | The compact operation is running on the DNode. |
ONLINE-CLEARING | The clean up operation is running on the DNode. |
ONLINE-DECOMMISSIONED | Server has been decommissioned, and this node is no longer a DNode. |
ONLINE-UNKNOWN | The status of the DNode is currently unknown. |
OFFLINE-UNKNOWN | Although the Pega 7 server is offline, the node is still recognized as a DNode. |
Action | Description |
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Repair | Repairs inconsistencies across all replicas of the data sets in a DNode. Run this operation in the following cases:
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Compact | This operation invokes the process by which Cassandra combines multiple physical data files on the file system to improve the performance of partition scans and to reclaim space from deleted data. Compaction is a background operation that runs on a regular basis in the DNode cluster, but you can run it explicitly on one DNode through the compact action. |
Clean up | Removes keys that no longer belong to the DNode. Keys do not belong to a DNode if data was deleted, or if it was rebalanced within the DNode cluster. |
Decommission | Remove the node from the DNode cluster. This operation results in transferring the data contained in the DNode storage to other nodes in the DNode cluster. If you want to add a decommissioned node to the DNode cluster, you have to restart the Pega 7 server before adding it again as a DNode. |
The DNode cluster infrastructure detects if there are Pega 7 nodes configured as DNodes. The capability to add DNodes is disabled if the nodes are already part of the DNode cluster, or no nodes in the infrastructure are configured to be DNodes.
Any Pega 7 node that is part of an outer cluster of Pega 7 nodes on the same network based on Halzelcast can be a DNode. Using this landing page, you can manage the membership of Pega 7 nodes in the DNode cluster infrastructure.
landing page | |
Understanding Decision Management
Data Set rules |