ParallelLoadBalancingPartition distributes incoming data records among different CloverDX Cluster workers. The algorithm of the component is derived from the regular LoadBalancingPartition component.

Component	Same input metadata	Sorted inputs	Inputs	Outputs	Java	CTL	Auto-propagated metadata
ParallelLoadBalancingPartition			1	1[1]
[1]  The single output port represents multiple virtual output ports.

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.

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.

	Note
	For more information about this component, see Chapter 41, Data Partitioning in Cluster.