diff --git a/core/src/main/scala/org/apache/spark/rdd/JdbcRDD.scala b/core/src/main/scala/org/apache/spark/rdd/JdbcRDD.scala
index 0970b9807167..0728be922384 100644
--- a/core/src/main/scala/org/apache/spark/rdd/JdbcRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/JdbcRDD.scala
@@ -133,6 +133,25 @@ class JdbcRDD[T: ClassTag](
   }
 }
 
+class LimitJdbcRDD[T: ClassTag](
+                                 sc: SparkContext,
+                                 getConnection: () => Connection,
+                                 sql: String,
+                                 lowerBound: Long,
+                                 pageSize: Long,
+                                 numPartitions: Int,
+                                 mapRow: (ResultSet) => T = JdbcRDD.resultSetToObjectArray _)
+  extends JdbcRDD[T](sc, getConnection, sql, lowerBound, pageSize, numPartitions, mapRow) {
+
+  override def getPartitions: Array[Partition] = {
+    (0 until numPartitions).map { i =>
+      val start = lowerBound + i * pageSize
+      val end = pageSize
+      new JdbcPartition(i, start.toLong, end.toLong)
+    }.toArray
+  }
+}
+
 object JdbcRDD {
   def resultSetToObjectArray(rs: ResultSet): Array[Object] = {
     Array.tabulate[Object](rs.getMetaData.getColumnCount)(i => rs.getObject(i + 1))
diff --git a/core/src/test/scala/org/apache/spark/rdd/JdbcRDDSuite.scala b/core/src/test/scala/org/apache/spark/rdd/JdbcRDDSuite.scala
index 05013fbc49b8..5c8b89d82ac6 100644
--- a/core/src/test/scala/org/apache/spark/rdd/JdbcRDDSuite.scala
+++ b/core/src/test/scala/org/apache/spark/rdd/JdbcRDDSuite.scala
@@ -84,6 +84,19 @@ class JdbcRDDSuite extends SparkFunSuite with BeforeAndAfter with LocalSparkCont
     assert(rdd.reduce(_ + _) === 10100)
   }
 
+  test("limit functionality") {
+    sc = new SparkContext("local", "test")
+    val rdd = new LimitJdbcRDD(
+      sc,
+      () => { DriverManager.getConnection("jdbc:derby:target/JdbcRDDSuiteDb") },
+      "SELECT DATA FROM FOO ORDER BY ID OFFSET ? ROWS  FETCH NEXT ? ROWS ONLY",
+      0, 10, 10,
+      (r: ResultSet) => { r.getInt(1) } ).cache()
+
+    assert(rdd.count === 100)
+    assert(rdd.reduce(_ + _) === 10100)
+  }
+
   test("large id overflow") {
     sc = new SparkContext("local", "test")
     val rdd = new JdbcRDD(