[SPARK-14536][SQL][BACKPORT-2.1] fix to handle null value in array type column for postgres.

## What changes were proposed in this pull request?
JDBC read is failing with NPE due to missing null value check for array data type if the source table has null values in the array type column. For null values Resultset.getArray() returns null.
This PR adds null safe check to the Resultset.getArray() value before invoking method on the Array object

## How was this patch tested?
Updated the PostgresIntegration test suite to test null values. Ran docker integration tests on my laptop.

Author: sureshthalamati <suresh.thalamati@gmail.com>

Closes #17460 from sureshthalamati/jdbc_array_null_fix_spark_2.1-SPARK-14536.

external/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/PostgresIntegrationSuite.scala

@@ -51,12 +51,17 @@ class PostgresIntegrationSuite extends DockerJDBCIntegrationSuite {
       + "B'1000100101', E'\\\\xDEADBEEF', true, '172.16.0.42', '192.168.0.0/16', "
       + """'{1, 2}', '{"a", null, "b"}', '{0.11, 0.22}', '{0.11, 0.22}', 'd1', 1.01, 1)"""
     ).executeUpdate()
+    conn.prepareStatement("INSERT INTO bar VALUES (null, null, null, null, null, "
+      + "null, null, null, null, null, "
+      + "null, null, null, null, null, null, null)"
+    ).executeUpdate()
   }
 
   test("Type mapping for various types") {
     val df = sqlContext.read.jdbc(jdbcUrl, "bar", new Properties)
-    val rows = df.collect()
-    assert(rows.length == 1)
+    val rows = df.collect().sortBy(_.toString())
+    assert(rows.length == 2)
+    // Test the types, and values using the first row.
     val types = rows(0).toSeq.map(x => x.getClass)
     assert(types.length == 17)
     assert(classOf[String].isAssignableFrom(types(0)))
@@ -96,6 +101,9 @@ class PostgresIntegrationSuite extends DockerJDBCIntegrationSuite {
     assert(rows(0).getString(14) == "d1")
     assert(rows(0).getFloat(15) == 1.01f)
     assert(rows(0).getShort(16) == 1)
+
+    // Test reading null values using the second row.
+    assert(0.until(16).forall(rows(1).isNullAt(_)))
   }
 
   test("Basic write test") {

sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala

@@ -423,9 +423,9 @@ object JdbcUtils extends Logging {
       }
 
       (rs: ResultSet, row: InternalRow, pos: Int) =>
-        val array = nullSafeConvert[Object](
-          rs.getArray(pos + 1).getArray,
-          array => new GenericArrayData(elementConversion.apply(array)))
+        val array = nullSafeConvert[java.sql.Array](
+          input = rs.getArray(pos + 1),
+          array => new GenericArrayData(elementConversion.apply(array.getArray)))
         row.update(pos, array)
 
     case _ => throw new IllegalArgumentException(s"Unsupported type ${dt.simpleString}")