bvarghese1 commented on code in PR #26424:
URL: https://github.com/apache/flink/pull/26424#discussion_r2036575201


##########
flink-table/flink-table-runtime/src/main/java/org/apache/flink/table/runtime/operators/over/NonTimeRowsUnboundedPrecedingFunction.java:
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@@ -0,0 +1,719 @@
+/*
+ * 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.flink.table.runtime.operators.over;
+
+import org.apache.flink.annotation.VisibleForTesting;
+import org.apache.flink.api.common.functions.OpenContext;
+import org.apache.flink.api.common.state.MapState;
+import org.apache.flink.api.common.state.MapStateDescriptor;
+import org.apache.flink.api.common.state.StateTtlConfig;
+import org.apache.flink.api.common.state.ValueState;
+import org.apache.flink.api.common.state.ValueStateDescriptor;
+import org.apache.flink.api.common.typeinfo.Types;
+import org.apache.flink.api.java.functions.KeySelector;
+import org.apache.flink.api.java.tuple.Tuple2;
+import org.apache.flink.api.java.typeutils.ListTypeInfo;
+import org.apache.flink.api.java.typeutils.TupleTypeInfo;
+import org.apache.flink.metrics.Counter;
+import org.apache.flink.streaming.api.functions.KeyedProcessFunction;
+import org.apache.flink.table.data.GenericRowData;
+import org.apache.flink.table.data.RowData;
+import org.apache.flink.table.data.utils.JoinedRowData;
+import org.apache.flink.table.runtime.dataview.PerKeyStateDataViewStore;
+import org.apache.flink.table.runtime.generated.AggsHandleFunction;
+import org.apache.flink.table.runtime.generated.GeneratedAggsHandleFunction;
+import org.apache.flink.table.runtime.generated.GeneratedRecordComparator;
+import org.apache.flink.table.runtime.generated.GeneratedRecordEqualiser;
+import org.apache.flink.table.runtime.generated.RecordEqualiser;
+import org.apache.flink.table.runtime.keyselector.RowDataKeySelector;
+import org.apache.flink.table.runtime.typeutils.InternalTypeInfo;
+import org.apache.flink.table.types.logical.BigIntType;
+import org.apache.flink.table.types.logical.LogicalType;
+import org.apache.flink.types.RowKind;
+import org.apache.flink.util.Collector;
+
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.Comparator;
+import java.util.List;
+
+import static 
org.apache.flink.table.runtime.util.StateConfigUtil.createTtlConfig;
+
+/**
+ * The NonTimeRowsUnboundedPrecedingFunction class is a specialized 
implementation for processing
+ * unbounded OVER window aggregations, particularly for non-time-based rows 
queries in Apache Flink.
+ * It maintains strict ordering of rows within partitions and handles the full 
changelog lifecycle
+ * (inserts, updates, deletes).
+ *
+ * <p>Key Components and Assumptions
+ *
+ * <p>Data Structure Design: (1) Maintains a sorted list of tuples containing 
sort keys and lists of
+ * IDs for each key (2) Each incoming row is assigned a unique Long ID 
(starting from
+ * Long.MIN_VALUE) (3) Uses multiple state types to track rows, sort orders, 
and aggregations
+ *
+ * <p>State Management: (1) idState: Counter for generating unique row IDs (2) 
sortedListState:
+ * Ordered list of sort keys with their associated row IDs (3) valueMapState: 
Maps IDs to their
+ * corresponding input rows (4) accMapState: Maps sort keys to their 
accumulated values
+ *
+ * <p>Processing Model: (1) For inserts/updates: Adds rows to the appropriate 
position based on sort
+ * key (2) For deletes: Removes rows by matching both sort key and row content 
(3) Recalculates
+ * aggregates for affected rows and emits the appropriate events (4) Skips 
redundant events when
+ * accumulators haven't changed to reduce network traffic
+ *
+ * <p>Optimization Assumptions: (1) Skip emitting updates when accumulators 
haven't changed to
+ * reduce network traffic (2) Uses state TTL for automatic cleanup of stale 
data (3) Carefully
+ * manages row state to support incremental calculations
+ *
+ * <p>Retraction Handling: (1) Handles retraction mode (DELETE/UPDATE_BEFORE) 
events properly (2)
+ * Supports the proper processing of changelog streams
+ *
+ * <p>Limitations
+ *
+ * <p>Linear search performance: - The current implementation uses a linear 
search to find the
+ * correct position for each sort key. This can be optimized using a binary 
search for large state
+ * sizes.
+ *
+ * <p>State size and performance: - The implementation maintains multiple 
state types that could
+ * grow large with high cardinality data
+ *
+ * <p>Linear recalculation: - When processing updates, all subsequent elements 
need to be
+ * recalculated, which could be inefficient for large windows
+ */
+public class NonTimeRowsUnboundedPrecedingFunction<K>

Review Comment:
   Introduced `AbstractNonTimeUnboundedPrecedingOver`



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