adixitconfluent commented on code in PR #18864:
URL: https://github.com/apache/kafka/pull/18864#discussion_r1967106670


##########
group-coordinator/src/main/java/org/apache/kafka/coordinator/group/assignor/SimpleAssignor.java:
##########
@@ -67,42 +71,210 @@ private GroupAssignment assignHomogenous(
         GroupSpec groupSpec,
         SubscribedTopicDescriber subscribedTopicDescriber
     ) {
-        Set<Uuid> subscribeTopicIds = 
groupSpec.memberSubscription(groupSpec.memberIds().iterator().next())
+        Set<Uuid> subscribedTopicIds = 
groupSpec.memberSubscription(groupSpec.memberIds().iterator().next())
             .subscribedTopicIds();
-        if (subscribeTopicIds.isEmpty())
-            return new GroupAssignment(Collections.emptyMap());
+        if (subscribedTopicIds.isEmpty())
+            return new GroupAssignment(Map.of());
 
-        Map<Uuid, Set<Integer>> targetPartitions = computeTargetPartitions(
-            subscribeTopicIds, subscribedTopicDescriber);
+        // Subscribed topic partitions for the share group.
+        List<TopicIdPartition> targetPartitions = computeTargetPartitions(
+            subscribedTopicIds, subscribedTopicDescriber);
 
-        return new 
GroupAssignment(groupSpec.memberIds().stream().collect(Collectors.toMap(
-            Function.identity(), memberId -> new 
MemberAssignmentImpl(targetPartitions))));
+        // The current assignment from topic partition to members.
+        Map<TopicIdPartition, List<String>> currentAssignment = 
currentAssignment(groupSpec);
+        return newAssignmentHomogeneous(groupSpec, subscribedTopicIds, 
targetPartitions, currentAssignment);
     }
 
     private GroupAssignment assignHeterogeneous(
         GroupSpec groupSpec,
         SubscribedTopicDescriber subscribedTopicDescriber
     ) {
-        Map<String, MemberAssignment> members = new HashMap<>();
+        Map<String, List<TopicIdPartition>> memberToPartitionsSubscription = 
new HashMap<>();
         for (String memberId : groupSpec.memberIds()) {
             MemberSubscription spec = groupSpec.memberSubscription(memberId);
             if (spec.subscribedTopicIds().isEmpty())
                 continue;
 
-            Map<Uuid, Set<Integer>> targetPartitions = computeTargetPartitions(
+            // Subscribed topic partitions for the share group member.
+            List<TopicIdPartition> targetPartitions = computeTargetPartitions(
                 spec.subscribedTopicIds(), subscribedTopicDescriber);
+            memberToPartitionsSubscription.put(memberId, targetPartitions);
+        }
+
+        // The current assignment from topic partition to members.
+        Map<TopicIdPartition, List<String>> currentAssignment = 
currentAssignment(groupSpec);
+        return newAssignmentHeterogeneous(groupSpec, 
memberToPartitionsSubscription, currentAssignment);
+    }
+
+    /**
+     * Get the current assignment by topic partitions.
+     * @param groupSpec - The group metadata specifications.
+     * @return the current assignment for subscribed topic partitions to 
memberIds.
+     */
+    private Map<TopicIdPartition, List<String>> currentAssignment(GroupSpec 
groupSpec) {
+        Map<TopicIdPartition, List<String>> assignment = new HashMap<>();
 
-            members.put(memberId, new MemberAssignmentImpl(targetPartitions));
+        for (String member : groupSpec.memberIds()) {
+            Map<Uuid, Set<Integer>> assignedTopicPartitions = 
groupSpec.memberAssignment(member).partitions();
+            assignedTopicPartitions.forEach((topicId, partitions) -> 
partitions.forEach(
+                partition -> assignment.computeIfAbsent(new 
TopicIdPartition(topicId, partition), k -> new ArrayList<>()).add(member)));
         }
+        return assignment;
+    }
+
+    private GroupAssignment newAssignmentHomogeneous(
+        GroupSpec groupSpec,
+        Set<Uuid> subscribedTopicIds,
+        List<TopicIdPartition> targetPartitions,
+        Map<TopicIdPartition, List<String>> currentAssignment
+    ) {
+
+        Map<TopicIdPartition, List<String>> newAssignment = new HashMap<>();
+
+        // Step 1: Hash member IDs to partitions.
+        memberHashAssignment(targetPartitions, groupSpec.memberIds(), 
newAssignment);
+
+        // Step 2: Round-robin assignment for unassigned partitions which do 
not have members already assigned in the current assignment.
+        Set<TopicIdPartition> assignedPartitions = newAssignment.keySet();
+        List<TopicIdPartition> unassignedPartitions = targetPartitions.stream()
+            .filter(targetPartition -> 
!assignedPartitions.contains(targetPartition))
+            .filter(targetPartition -> 
!currentAssignment.containsKey(targetPartition))
+            .toList();
+
+        roundRobinAssignment(groupSpec.memberIds(), unassignedPartitions, 
newAssignment);
+
+        // Step 3: We combine current assignment and new assignment.
+        Map<String, Set<TopicIdPartition>> finalAssignment = new HashMap<>();
+
+        // When combining current assignment, we need to only consider the 
topics in current assignment that are also being
+        // subscribed in the new assignment as well.
+        currentAssignment.forEach((targetPartition, members) -> {
+            if (subscribedTopicIds.contains(targetPartition.topicId()))
+                members.forEach(member -> {
+                    if (groupSpec.memberIds().contains(member))
+                        finalAssignment.computeIfAbsent(member, k -> new 
HashSet<>()).add(targetPartition);
+                });
+        });
+        newAssignment.forEach((targetPartition, members) -> 
members.forEach(member ->
+            finalAssignment.computeIfAbsent(member, k -> new 
HashSet<>()).add(targetPartition)));

Review Comment:
   This is a changed approach. Added the comment `As per the KIP, we should 
revoke the assignments from current assignment for partitions that were 
assigned by step 1 in the new assignment and have members in current assignment 
by step 2. But we haven't implemented it to avoid the complexity in both the 
implementation and the run time complexity. This step was mentioned in the KIP 
to reduce the burden of certain members of the share groups. This can be 
achieved with the help of limiting the max no. of partitions assignment for 
every member(KAFKA-18788). Hence, the potential problem of burdening the share 
consumers will be addressed in a future PR.`



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