GGraziadei commented on code in PR #8593:
URL: https://github.com/apache/storm/pull/8593#discussion_r3407823472


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storm-client/src/jvm/org/apache/storm/grouping/JitterAwareStreamGrouping.java:
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@@ -0,0 +1,101 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more 
contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.  The 
ASF licenses this file to you under the Apache License, Version
+ * 2.0 (the "License"); you may not use this file except in compliance with 
the License.  You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software 
distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 
See the License for the specific language governing permissions
+ * and limitations under the License.
+ */
+
+package org.apache.storm.grouping;
+
+import java.util.Collections;
+import java.util.List;
+import java.util.Map;
+import java.util.concurrent.atomic.AtomicInteger;
+import org.apache.storm.executor.ChildEwmaStats;
+import org.apache.storm.generated.GlobalStreamId;
+import org.apache.storm.task.WorkerTopologyContext;
+
+/**
+ * A {@link CustomStreamGrouping} that routes each tuple to the downstream 
(child) task with the lowest
+ * jitter, as reported back to the emitting task through upstream feedback and 
aggregated by
+ * {@link ChildEwmaStats}. Candidates are ordered with {@link 
ChildEwmaStats#compareByJitter}, so a lower
+ * {@code __execute-jitter} wins first, then {@code __process-jitter}, then 
{@code __complete-jitter}.
+ * Until a source task has any feedback data — and for targets that have not 
reported yet — the grouping
+ * falls back to round-robin over the target tasks, so it degrades to an even 
spread rather than pinning a
+ * single task.
+ */
+public class JitterAwareStreamGrouping implements 
LoadAwareCustomStreamGrouping {
+
+    private final AtomicInteger roundRobin = new AtomicInteger();
+    private List<Integer> targetTasks;
+    private ChildEwmaStats stats;
+
+    @Override
+    public void refreshLoad(LoadMapping loadMapping) {
+        // load mapping agnostic
+    }
+
+    @Override
+    public void registerEwmaStats(ChildEwmaStats childEwmaStats) {
+        this.stats = childEwmaStats;
+    }
+
+    @Override
+    public void prepare(WorkerTopologyContext context, GlobalStreamId stream, 
List<Integer> targetTasks) {
+        this.targetTasks = targetTasks;
+    }
+
+    @Override
+    public List<Integer> chooseTasks(int taskId, List<Object> values) {

Review Comment:
   Thank you. I have actually gone ahead and implemented the P2C selection 
strategy to avoid that herd effect. Regarding that, what are your thoughts on 
falling back to `LoadAware` grouping as a default routing mechanism when we 
don't have any jitter statistics yet, or if the system fails to select a proper 
task to forward to?



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