Version
ParallelLoadBalancingPartition
Short description
ParallelLoadBalancingPartition distributes incoming data records among different CloverDX Cluster workers. The algorithm of the component is derived from the regular LoadBalancingPartition component.
| Same input metadata | Sorted inputs | Inputs | Outputs | Java | CTL | Auto-propagated metadata |
|---|---|---|---|---|---|---|
✓ |
⨯ |
1 |
1[1] |
⨯ |
⨯ |
✓ |
Ports
| Port type | Number | Required | Description | Metadata |
|---|---|---|---|---|
Input |
0 |
✓ |
For input data records. |
Any |
Output |
0 |
✓ |
For output data records. |
Input 0 |
Metadata
ParallelLoadBalancingPartition propagates metadata in both directions. The component does not change priorities of metadata.
ParallelLoadBalancingPartition has no metadata template.
ParallelLoadBalancingPartition does not require any specific metadata fields.
Details
ParallelLoadBalancingPartition distributes incoming data records among different CloverDX cluster workers.
The algorithm of this component is derived from the regular LoadBalancingPartition component. For more details about attributes and other component-specific behavior, see the LoadBalancingPartition component.
This component belongs to a group of Cluster components that allows the change from a single-worker allocation to a multiple-worker allocation. So the allocation of the component preceding the ParallelLoadBalancingPartition component has to provide just a single worker. The allocation of the component following the ParallelLoadBalancingPartition component can provide multiple workers.
|
For more information about this component, see Data partitioning in cluster. |
Compatibility
| Version | Compatibility Notice |
|---|---|
3.4 |
The component is available since version 3.4. |
4.3.0-M2 |
ClusterLoadBalancingPartition was renamed to ParallelLoadBalancingPartition. |