diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala
index 5b5fa8c93e..78a4acdf4b 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala
@@ -60,7 +60,6 @@ private[sql] object DataSourceStrategy extends Strategy with Logging {
     // Scanning partitioned HadoopFsRelation
     case PhysicalOperation(projects, filters, l @ LogicalRelation(t: HadoopFsRelation))
         if t.partitionSpec.partitionColumns.nonEmpty =>
-      t.refresh()
       val selectedPartitions = prunePartitions(filters, t.partitionSpec).toArray
 
       logInfo {
@@ -88,7 +87,6 @@ private[sql] object DataSourceStrategy extends Strategy with Logging {
 
     // Scanning non-partitioned HadoopFsRelation
     case PhysicalOperation(projects, filters, l @ LogicalRelation(t: HadoopFsRelation)) =>
-      t.refresh()
       // See buildPartitionedTableScan for the reason that we need to create a shard
       // broadcast HadoopConf.
       val sharedHadoopConf = SparkHadoopUtil.get.conf
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/json/JSONRelation.scala b/sql/core/src/main/scala/org/apache/spark/sql/json/JSONRelation.scala
index b34a272ec5..5bb9e62310 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/json/JSONRelation.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/json/JSONRelation.scala
@@ -22,20 +22,22 @@ import java.io.CharArrayWriter
 import com.fasterxml.jackson.core.JsonFactory
 import com.google.common.base.Objects
 import org.apache.hadoop.fs.{FileStatus, Path}
-import org.apache.hadoop.io.{Text, LongWritable, NullWritable}
+import org.apache.hadoop.io.{LongWritable, NullWritable, Text}
 import org.apache.hadoop.mapred.{JobConf, TextInputFormat}
-import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat
-import org.apache.hadoop.mapreduce.{RecordWriter, TaskAttemptContext, Job}
 import org.apache.hadoop.mapreduce.lib.input.FileInputFormat
-import org.apache.spark.Logging
-import org.apache.spark.mapred.SparkHadoopMapRedUtil
+import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat
+import org.apache.hadoop.mapreduce.{Job, RecordWriter, TaskAttemptContext}
 
+import org.apache.spark.Logging
+import org.apache.spark.broadcast.Broadcast
+import org.apache.spark.mapred.SparkHadoopMapRedUtil
 import org.apache.spark.rdd.RDD
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.execution.datasources.PartitionSpec
 import org.apache.spark.sql.sources._
 import org.apache.spark.sql.types.StructType
 import org.apache.spark.sql.{AnalysisException, Row, SQLContext}
+import org.apache.spark.util.SerializableConfiguration
 
 private[sql] class DefaultSource extends HadoopFsRelationProvider with DataSourceRegister {
 
@@ -108,6 +110,15 @@ private[sql] class JSONRelation(
     jsonSchema
   }
 
+  override private[sql] def buildScan(
+      requiredColumns: Array[String],
+      filters: Array[Filter],
+      inputPaths: Array[String],
+      broadcastedConf: Broadcast[SerializableConfiguration]): RDD[Row] = {
+    refresh()
+    super.buildScan(requiredColumns, filters, inputPaths, broadcastedConf)
+  }
+
   override def buildScan(
       requiredColumns: Array[String],
       filters: Array[Filter],
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/sources/interfaces.scala b/sql/core/src/main/scala/org/apache/spark/sql/sources/interfaces.scala
index 4aafec0e2d..6bcabbab4f 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/sources/interfaces.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/sources/interfaces.scala
@@ -555,7 +555,7 @@ abstract class HadoopFsRelation private[sql](maybePartitionSpec: Option[Partitio
     })
   }
 
-  private[sql] final def buildScan(
+  private[sql] def buildScan(
       requiredColumns: Array[String],
       filters: Array[Filter],
       inputPaths: Array[String],
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/sources/InsertSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/sources/InsertSuite.scala
index 39d18d712e..cdbfaf6455 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/sources/InsertSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/sources/InsertSuite.scala
@@ -32,9 +32,9 @@ class InsertSuite extends DataSourceTest with BeforeAndAfterAll {
 
   var path: File = null
 
-  override def beforeAll: Unit = {
+  override def beforeAll(): Unit = {
     path = Utils.createTempDir()
-    val rdd = sparkContext.parallelize((1 to 10).map(i => s"""{"a":$i, "b":"str${i}"}"""))
+    val rdd = sparkContext.parallelize((1 to 10).map(i => s"""{"a":$i, "b":"str$i"}"""))
     caseInsensitiveContext.read.json(rdd).registerTempTable("jt")
     sql(
       s"""
@@ -46,7 +46,7 @@ class InsertSuite extends DataSourceTest with BeforeAndAfterAll {
       """.stripMargin)
   }
 
-  override def afterAll: Unit = {
+  override def afterAll(): Unit = {
     caseInsensitiveContext.dropTempTable("jsonTable")
     caseInsensitiveContext.dropTempTable("jt")
     Utils.deleteRecursively(path)
@@ -110,7 +110,7 @@ class InsertSuite extends DataSourceTest with BeforeAndAfterAll {
     )
 
     // Writing the table to less part files.
-    val rdd1 = sparkContext.parallelize((1 to 10).map(i => s"""{"a":$i, "b":"str${i}"}"""), 5)
+    val rdd1 = sparkContext.parallelize((1 to 10).map(i => s"""{"a":$i, "b":"str$i"}"""), 5)
     caseInsensitiveContext.read.json(rdd1).registerTempTable("jt1")
     sql(
       s"""
@@ -122,7 +122,7 @@ class InsertSuite extends DataSourceTest with BeforeAndAfterAll {
     )
 
     // Writing the table to more part files.
-    val rdd2 = sparkContext.parallelize((1 to 10).map(i => s"""{"a":$i, "b":"str${i}"}"""), 10)
+    val rdd2 = sparkContext.parallelize((1 to 10).map(i => s"""{"a":$i, "b":"str$i"}"""), 10)
     caseInsensitiveContext.read.json(rdd2).registerTempTable("jt2")
     sql(
       s"""