wuchong commented on code in PR #2510:
URL: https://github.com/apache/fluss/pull/2510#discussion_r2867270609


##########
fluss-flink/fluss-flink-common/src/main/java/org/apache/fluss/flink/source/reader/FlinkSourceSplitReader.java:
##########
@@ -109,6 +111,10 @@ public class FlinkSourceSplitReader implements 
SplitReader<RecordAndPos, SourceS
     private final Map<TableBucket, Long> stoppingOffsets;
     private LakeSplitReaderGenerator lakeSplitReaderGenerator;
 
+    private final SourceReaderContext context;
+    private final Map<TableBucket, Long> backlogMarkedOffsets;
+    private final Set<TableBucket> onlySnapshotBuckets;
+    private final Set<TableBucket> backlogEventSentTbls = new HashSet<>();

Review Comment:
   For partitioned tables, frequent creation and removal of partitions mean 
that caching all `TableBucket` instances without cleanup will lead to memory 
leaks. Therefore, we should not rely on `backlogEventSentTbls` to determine 
whether a `TableBucket` needs to report backlog completion. Instead, we should 
check for the presence of the `TableBucket` in `backlogMarkedOffsets`; if it is 
absent, the backlog has been processed.
   
   Additionally, maintaining `onlySnapshotBuckets` is unnecessary, as 
`backlogMarkedOffsets` provides sufficient state. We can trigger the backlog 
event within `finishCurrentBoundedSplit()` by verifying whether the backlog 
offset is less than or equal to `HybridSnapshotLogSplit#logStartingOffset`.



##########
fluss-flink/fluss-flink-common/src/main/java/org/apache/fluss/flink/source/event/BacklogFinishEvent.java:
##########
@@ -0,0 +1,65 @@
+/*
+ * 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.fluss.flink.source.event;
+
+import org.apache.fluss.metadata.TableBucket;
+
+import org.apache.flink.api.connector.source.SourceEvent;
+
+import java.util.Objects;
+
+/**
+ * Event to signal that the backlog processing for a specific table bucket has 
been completed. This
+ * event is sent from the source reader to the source enumerator to indicate 
that all historical
+ * data (backlog) in the specified bucket has been processed.
+ */
+public class BacklogFinishEvent implements SourceEvent {

Review Comment:
   nit: Rename to `FinishedBacklogEvent` to align other finished SourceEvent. 



##########
fluss-flink/fluss-flink-common/src/main/java/org/apache/fluss/flink/source/enumerator/FlinkSourceEnumerator.java:
##########
@@ -182,6 +188,8 @@ public class FlinkSourceEnumerator
 
     @Nullable private final LakeSource<LakeSplit> lakeSource;
 
+    private final Map<TableBucket, Long> hasBacklogTbls;

Review Comment:
   Please add Javadoc to this field to clarify the concept of backlog and 
explain its specific purpose. Additionally, I recommend renaming the field to 
`bucketsWithBacklogOffset` for improved clarity.



##########
fluss-flink/fluss-flink-common/src/main/java/org/apache/fluss/flink/source/reader/FlinkSourceSplitReader.java:
##########
@@ -122,6 +128,25 @@ public FlinkSourceSplitReader(
             @Nullable int[] projectedFields,
             FlinkSourceReaderMetrics flinkSourceReaderMetrics,
             @Nullable LakeSource<LakeSplit> lakeSource) {
+        this(
+                null,

Review Comment:
   Refactor all usages of this constructor to explicitly pass the 
`SourceReaderContext` instead of `null`. Relying on a null value introduces a 
significant risk of potential NullPointerExceptions.



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