diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JDBCRelation.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JDBCRelation.scala
index ee6373d03e1fd..9e336422d1f8c 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JDBCRelation.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JDBCRelation.scala
@@ -44,6 +44,12 @@ private[sql] object JDBCRelation {
    * exactly once.  The parameters minValue and maxValue are advisory in that
    * incorrect values may cause the partitioning to be poor, but no data
    * will fail to be represented.
+   *
+   * Null value predicate is added to the first partition where clause to include
+   * the rows with null value for the partitions column.
+   *
+   * @param partitioning partition information to generate the where clause for each partition
+   * @return an array of partitions with where clause for each partition
    */
   def columnPartition(partitioning: JDBCPartitioningInfo): Array[Partition] = {
     if (partitioning == null) return Array[Partition](JDBCPartition(null, 0))
@@ -66,7 +72,7 @@ private[sql] object JDBCRelation {
         if (upperBound == null) {
           lowerBound
         } else if (lowerBound == null) {
-          upperBound
+          s"$upperBound or $column is null"
         } else {
           s"$lowerBound AND $upperBound"
         }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
index f8a9a95c873ad..30a5e2ea4acd1 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
@@ -171,6 +171,27 @@ class JDBCSuite extends SparkFunSuite
          |OPTIONS (url '$url', dbtable 'TEST.NULLTYPES', user 'testUser', password 'testPass')
       """.stripMargin.replaceAll("\n", " "))
 
+    conn.prepareStatement(
+      "create table test.emp(name TEXT(32) NOT NULL," +
+        " theid INTEGER, \"Dept\" INTEGER)").executeUpdate()
+    conn.prepareStatement(
+      "insert into test.emp values ('fred', 1, 10)").executeUpdate()
+    conn.prepareStatement(
+      "insert into test.emp values ('mary', 2, null)").executeUpdate()
+    conn.prepareStatement(
+      "insert into test.emp values ('joe ''foo'' \"bar\"', 3, 30)").executeUpdate()
+    conn.prepareStatement(
+      "insert into test.emp values ('kathy', null, null)").executeUpdate()
+    conn.commit()
+
+    sql(
+      s"""
+         |CREATE TEMPORARY TABLE nullparts
+         |USING org.apache.spark.sql.jdbc
+         |OPTIONS (url '$url', dbtable 'TEST.EMP', user 'testUser', password 'testPass',
+         |partitionColumn '"Dept"', lowerBound '1', upperBound '4', numPartitions '4')
+      """.stripMargin.replaceAll("\n", " "))
+
     // Untested: IDENTITY, OTHER, UUID, ARRAY, and GEOMETRY types.
   }
 
@@ -338,6 +359,23 @@ class JDBCSuite extends SparkFunSuite
       .collect().length === 3)
   }
 
+  test("Partioning on column that might have null values.") {
+    assert(
+      sqlContext.read.jdbc(urlWithUserAndPass, "TEST.EMP", "theid", 0, 4, 3, new Properties)
+        .collect().length === 4)
+    assert(
+      sqlContext.read.jdbc(urlWithUserAndPass, "TEST.EMP", "THEID", 0, 4, 3, new Properties)
+        .collect().length === 4)
+    // partitioning on a nullable quoted column
+    assert(
+      sqlContext.read.jdbc(urlWithUserAndPass, "TEST.EMP", """"Dept"""", 0, 4, 3, new Properties)
+        .collect().length === 4)
+  }
+
+  test("SELECT * on partitioned table with a nullable partioncolumn") {
+    assert(sql("SELECT * FROM nullparts").collect().size == 4)
+  }
+
   test("H2 integral types") {
     val rows = sql("SELECT * FROM inttypes WHERE A IS NOT NULL").collect()
     assert(rows.length === 1)