DataPartitioner (Red Hat Data Grid 7.3.9 API)

```
public interface DataPartitioner
```
Creates data partitions to allow parallel processing. Each data partition is defined as a list of segments, thus no segments can be in more than one partition and all the partitions together must cover all segments.

Method Summary

All Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method	Description
`default Collection<Set<Integer>>`	`split(org.infinispan.client.hotrod.CacheTopologyInfo sourceClusterTopology)`	Same as `split(CacheTopologyInfo, int)` but will create a single partition per server
`Collection<Set<Integer>>`	`split(org.infinispan.client.hotrod.CacheTopologyInfo sourceClusterTopology, int partitionsPerServer)`

- Method Detail
  - split
```
Collection<Set<Integer>> split(org.infinispan.client.hotrod.CacheTopologyInfo sourceClusterTopology,
                               int partitionsPerServer)
```
    Parameters:
    
    sourceClusterTopology - the CacheTopologyInfo of a cluster where data is located.
    
    partitionsPerServer - how many partitions to produce per each server. In some circumstances, it may not be possible to honor this param, for e.g., when there aren't enough segments compared to the number of servers.
    
    Returns:
    
    a collection of data partitions
  - split
```
default Collection<Set<Integer>> split(org.infinispan.client.hotrod.CacheTopologyInfo sourceClusterTopology)
```
    Same as split(CacheTopologyInfo, int) but will create a single partition per server