jiajunwang commented on a change in pull request #520: Refactor soft
constraints to simply the algorithm and fix potential issues.
URL: https://github.com/apache/helix/pull/520#discussion_r338744909
##########
File path:
helix-core/src/main/java/org/apache/helix/controller/rebalancer/waged/constraints/ResourcePartitionAntiAffinityConstraint.java
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@@ -29,24 +29,16 @@
* the same resource be assigned to the same node to minimize the impact of
node failure scenarios.
* The score is higher the fewer the partitions are on the node belonging to
the same resource.
*/
-class ResourcePartitionAntiAffinityConstraint extends SoftConstraint {
- private static final float MAX_SCORE = 1f;
- private static final float MIN_SCORE = 0f;
-
- ResourcePartitionAntiAffinityConstraint() {
- super(MAX_SCORE, MIN_SCORE);
- }
+class ResourcePartitionAntiAffinityConstraint extends UsageSoftConstraint {
@Override
protected float getAssignmentScore(AssignableNode node, AssignableReplica
replica,
ClusterContext clusterContext) {
String resource = replica.getResourceName();
int curPartitionCountForResource =
node.getAssignedPartitionsByResource(resource).size();
- int doubleMaxPartitionCountForResource =
- 2 * clusterContext.getEstimatedMaxPartitionByResource(resource);
- // The score measures the twice the max allowed count versus current counts
- // The returned value is a measurement of remaining quota ratio, in the
case of exceeding allowed counts, return 0
- return Math.max(((float) doubleMaxPartitionCountForResource -
curPartitionCountForResource)
- / doubleMaxPartitionCountForResource, 0);
+ int estimatedMaxPartitionCountForResource =
+ clusterContext.getEstimatedMaxPartitionByResource(resource);
Review comment:
This is not really predicting future usage. So I feel "project" is not the
right word.
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