diff --git a/hudi-utilities/src/test/java/org/apache/hudi/utilities/transform/TestSqlQueryBasedTransformer.java b/hudi-utilities/src/test/java/org/apache/hudi/utilities/transform/TestSqlQueryBasedTransformer.java
new file mode 100644
index 000000000..b6fdc2582
--- /dev/null
+++ b/hudi-utilities/src/test/java/org/apache/hudi/utilities/transform/TestSqlQueryBasedTransformer.java
@@ -0,0 +1,94 @@
+/*
+ * 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.utilities.transform;
+
+import org.apache.hudi.common.config.TypedProperties;
+
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.sql.Dataset;
+import org.apache.spark.sql.Row;
+import org.apache.spark.sql.SparkSession;
+import org.junit.jupiter.api.Test;
+
+import java.util.Collections;
+
+import static org.junit.jupiter.api.Assertions.assertEquals;
+import static org.junit.jupiter.api.Assertions.assertNotNull;
+
+public class TestSqlQueryBasedTransformer {
+
+  @Test
+  public void testSqlQuery() {
+
+    SparkSession spark = SparkSession
+        .builder()
+        .master("local[2]")
+        .appName(TestSqlQueryBasedTransformer.class.getName())
+        .getOrCreate();
+
+    JavaSparkContext jsc = JavaSparkContext.fromSparkContext(spark.sparkContext());
+
+    // prepare test data
+    String testData = "{\n"
+        + "  \"ts\": 1622126968000,\n"
+        + "  \"uuid\": \"c978e157-72ee-4819-8f04-8e46e1bb357a\",\n"
+        + "  \"rider\": \"rider-213\",\n"
+        + "  \"driver\": \"driver-213\",\n"
+        + "  \"begin_lat\": 0.4726905879569653,\n"
+        + "  \"begin_lon\": 0.46157858450465483,\n"
+        + "  \"end_lat\": 0.754803407008858,\n"
+        + "  \"end_lon\": 0.9671159942018241,\n"
+        + "  \"fare\": 34.158284716382845,\n"
+        + "  \"partitionpath\": \"americas/brazil/sao_paulo\"\n"
+        + "}";
+
+    JavaRDD<String> testRdd = jsc.parallelize(Collections.singletonList(testData), 2);
+    Dataset<Row> ds = spark.read().json(testRdd);
+
+    // create a new column dt, whose value is transformed from ts, format is yyyyMMdd
+    String transSql = "select\n"
+        + "\tuuid,\n"
+        + "\tbegin_lat,\n"
+        + "\tbegin_lon,\n"
+        + "\tdriver,\n"
+        + "\tend_lat,\n"
+        + "\tend_lon,\n"
+        + "\tfare,\n"
+        + "\tpartitionpath,\n"
+        + "\trider,\n"
+        + "\tts,\n"
+        + "\tFROM_UNIXTIME(ts / 1000, 'yyyyMMdd') as dt\n"
+        + "from\n"
+        + "\t<SRC>";
+    TypedProperties props = new TypedProperties();
+    props.put("hoodie.deltastreamer.transformer.sql", transSql);
+
+    // transform
+    SqlQueryBasedTransformer transformer = new SqlQueryBasedTransformer();
+    Dataset<Row> result = transformer.apply(jsc, spark, ds, props);
+
+    // check result
+    assertEquals(11, result.columns().length);
+    assertNotNull(result.col("dt"));
+    assertEquals("20210527", result.first().get(10).toString());
+
+    spark.close();
+  }
+}