satishkotha commented on a change in pull request #2918:
URL: https://github.com/apache/hudi/pull/2918#discussion_r629658906



##########
File path: 
hudi-client/hudi-spark-client/src/test/java/org/apache/hudi/ClusteringIdentityTestExecutionStrategy.java
##########
@@ -0,0 +1,102 @@
+/*
+ * 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.hudi;
+
+import org.apache.avro.Schema;
+import org.apache.hudi.client.WriteStatus;
+import org.apache.hudi.client.common.HoodieSparkEngineContext;
+import org.apache.hudi.common.engine.TaskContextSupplier;
+import org.apache.hudi.common.model.HoodieFileGroupId;
+import org.apache.hudi.common.model.HoodieKey;
+import org.apache.hudi.common.model.HoodieRecord;
+import org.apache.hudi.common.model.HoodieRecordPayload;
+import org.apache.hudi.config.HoodieWriteConfig;
+import org.apache.hudi.exception.HoodieClusteringException;
+import org.apache.hudi.execution.SparkLazyInsertIterable;
+import org.apache.hudi.io.CreateFixedFileHandleFactory;
+import org.apache.hudi.table.HoodieSparkCopyOnWriteTable;
+import org.apache.hudi.table.HoodieSparkMergeOnReadTable;
+import org.apache.hudi.table.HoodieTable;
+import 
org.apache.hudi.table.action.cluster.strategy.ClusteringExecutionStrategy;
+import org.apache.log4j.LogManager;
+import org.apache.log4j.Logger;
+import org.apache.spark.api.java.JavaRDD;
+
+import java.util.Iterator;
+import java.util.List;
+import java.util.Map;
+import java.util.Properties;
+
+/**
+ * Sample clustering strategy for testing. This actually doesnt transform 
data, but simply rewrites the same data 
+ * in a new file.
+ */
+public class ClusteringIdentityTestExecutionStrategy<T extends 
HoodieRecordPayload<T>>
+    extends ClusteringExecutionStrategy<T, JavaRDD<HoodieRecord<T>>, 
JavaRDD<HoodieKey>, JavaRDD<WriteStatus>> {
+
+  private static final Logger LOG = 
LogManager.getLogger(ClusteringIdentityTestExecutionStrategy.class);
+
+  public 
ClusteringIdentityTestExecutionStrategy(HoodieSparkCopyOnWriteTable<T> table,
+                                                 HoodieSparkEngineContext 
engineContext,
+                                                 HoodieWriteConfig 
writeConfig) {
+    super(table, engineContext, writeConfig);
+  }
+
+  public 
ClusteringIdentityTestExecutionStrategy(HoodieSparkMergeOnReadTable<T> table,
+                                                 HoodieSparkEngineContext 
engineContext,
+                                                 HoodieWriteConfig 
writeConfig) {
+    super(table, engineContext, writeConfig);
+  }
+
+  @Override
+  public JavaRDD<WriteStatus> performClustering(
+      final JavaRDD<HoodieRecord<T>> inputRecords,
+      final int numOutputGroups,
+      final String instantTime,
+      final Map<String, String> strategyParams,
+      final Schema schema,
+      final List<HoodieFileGroupId> inputFileIds) {
+    if (inputRecords.getNumPartitions() != 1 || inputFileIds.size() != 1) {

Review comment:
       yes, this is enforced by setting group size limit to a small number. See 
unit test added  `.withClusteringMaxBytesInGroup(10) // set small number so 
each file is considered as separate clustering group`




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