diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/CatalystConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/CatalystConf.scala
new file mode 100644
index 0000000000000000000000000000000000000000..3f351b07b37dfa2f80b12a3680c30e2a8d51e8cf
--- /dev/null
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/CatalystConf.scala
@@ -0,0 +1,35 @@
+/*
+ * 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.spark.sql.catalyst
+
+private[spark] trait CatalystConf {
+  def caseSensitiveAnalysis: Boolean
+}
+
+/**
+ * A trivial conf that is empty.  Used for testing when all
+ * relations are already filled in and the analyser needs only to resolve attribute references.
+ */
+object EmptyConf extends CatalystConf {
+  override def caseSensitiveAnalysis: Boolean = {
+    throw new UnsupportedOperationException
+  }
+}
+
+/** A CatalystConf that can be used for local testing. */
+case class SimpleCatalystConf(caseSensitiveAnalysis: Boolean) extends CatalystConf
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
index ecbac57ea4d62d03b6fce30f5678766440974caf..a4c61149dd975e274c3e6e88b100dce1e50522ea 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
@@ -19,19 +19,21 @@ package org.apache.spark.sql.catalyst.analysis
 
 import scala.collection.mutable.ArrayBuffer
 
-import org.apache.spark.util.collection.OpenHashSet
 import org.apache.spark.sql.AnalysisException
+import org.apache.spark.sql.catalyst.{SimpleCatalystConf, CatalystConf}
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.plans.logical._
 import org.apache.spark.sql.catalyst.rules._
 import org.apache.spark.sql.types._
+import org.apache.spark.util.collection.OpenHashSet
 
 /**
  * A trivial [[Analyzer]] with an [[EmptyCatalog]] and [[EmptyFunctionRegistry]]. Used for testing
  * when all relations are already filled in and the analyzer needs only to resolve attribute
  * references.
  */
-object SimpleAnalyzer extends Analyzer(EmptyCatalog, EmptyFunctionRegistry, true)
+object SimpleAnalyzer
+  extends Analyzer(EmptyCatalog, EmptyFunctionRegistry, new SimpleCatalystConf(true))
 
 /**
  * Provides a logical query plan analyzer, which translates [[UnresolvedAttribute]]s and
@@ -41,11 +43,17 @@ object SimpleAnalyzer extends Analyzer(EmptyCatalog, EmptyFunctionRegistry, true
 class Analyzer(
     catalog: Catalog,
     registry: FunctionRegistry,
-    caseSensitive: Boolean,
+    conf: CatalystConf,
     maxIterations: Int = 100)
   extends RuleExecutor[LogicalPlan] with HiveTypeCoercion with CheckAnalysis {
 
-  val resolver = if (caseSensitive) caseSensitiveResolution else caseInsensitiveResolution
+  def resolver: Resolver = {
+    if (conf.caseSensitiveAnalysis) {
+      caseSensitiveResolution
+    } else {
+      caseInsensitiveResolution
+    }
+  }
 
   val fixedPoint = FixedPoint(maxIterations)
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Catalog.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Catalog.scala
index 18c24b651921a212af000f35266812bbd47d257f..208021c4213262c610b450884db0802e5bbf90b8 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Catalog.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Catalog.scala
@@ -19,6 +19,8 @@ package org.apache.spark.sql.catalyst.analysis
 
 import scala.collection.mutable
 
+import org.apache.spark.sql.catalyst.CatalystConf
+import org.apache.spark.sql.catalyst.EmptyConf
 import org.apache.spark.sql.catalyst.plans.logical.{LogicalPlan, Subquery}
 
 /**
@@ -34,7 +36,7 @@ class NoSuchDatabaseException extends Exception
  */
 trait Catalog {
 
-  def caseSensitive: Boolean
+  val conf: CatalystConf
 
   def tableExists(tableIdentifier: Seq[String]): Boolean
 
@@ -57,10 +59,10 @@ trait Catalog {
   def unregisterAllTables(): Unit
 
   protected def processTableIdentifier(tableIdentifier: Seq[String]): Seq[String] = {
-    if (!caseSensitive) {
-      tableIdentifier.map(_.toLowerCase)
-    } else {
+    if (conf.caseSensitiveAnalysis) {
       tableIdentifier
+    } else {
+      tableIdentifier.map(_.toLowerCase)
     }
   }
 
@@ -78,7 +80,7 @@ trait Catalog {
   }
 }
 
-class SimpleCatalog(val caseSensitive: Boolean) extends Catalog {
+class SimpleCatalog(val conf: CatalystConf) extends Catalog {
   val tables = new mutable.HashMap[String, LogicalPlan]()
 
   override def registerTable(
@@ -164,10 +166,10 @@ trait OverrideCatalog extends Catalog {
   }
 
   abstract override def getTables(databaseName: Option[String]): Seq[(String, Boolean)] = {
-    val dbName = if (!caseSensitive) {
-      if (databaseName.isDefined) Some(databaseName.get.toLowerCase) else None
-    } else {
+    val dbName = if (conf.caseSensitiveAnalysis) {
       databaseName
+    } else {
+      if (databaseName.isDefined) Some(databaseName.get.toLowerCase) else None
     }
 
     val temporaryTables = overrides.filter {
@@ -207,7 +209,7 @@ trait OverrideCatalog extends Catalog {
  */
 object EmptyCatalog extends Catalog {
 
-  override val caseSensitive: Boolean = true
+  override val conf: CatalystConf = EmptyConf
 
   override def tableExists(tableIdentifier: Seq[String]): Boolean = {
     throw new UnsupportedOperationException
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
index 971e1ff5ec2b8f8b0f77a57a0336a2cfe8aa1bb5..6f2f35564d12ec1a8d86264c36f3538d70e87838 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
@@ -23,24 +23,26 @@ import org.apache.spark.sql.AnalysisException
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.plans.logical._
 import org.apache.spark.sql.types._
-
+import org.apache.spark.sql.catalyst.SimpleCatalystConf
 import org.apache.spark.sql.catalyst.dsl.expressions._
 import org.apache.spark.sql.catalyst.dsl.plans._
 
 class AnalysisSuite extends FunSuite with BeforeAndAfter {
-  val caseSensitiveCatalog = new SimpleCatalog(true)
-  val caseInsensitiveCatalog = new SimpleCatalog(false)
+  val caseSensitiveConf = new SimpleCatalystConf(true)
+  val caseInsensitiveConf = new SimpleCatalystConf(false)
+
+  val caseSensitiveCatalog = new SimpleCatalog(caseSensitiveConf)
+  val caseInsensitiveCatalog = new SimpleCatalog(caseInsensitiveConf)
 
   val caseSensitiveAnalyzer =
-    new Analyzer(caseSensitiveCatalog, EmptyFunctionRegistry, caseSensitive = true) {
+    new Analyzer(caseSensitiveCatalog, EmptyFunctionRegistry, caseSensitiveConf) {
       override val extendedResolutionRules = EliminateSubQueries :: Nil
     }
   val caseInsensitiveAnalyzer =
-    new Analyzer(caseInsensitiveCatalog, EmptyFunctionRegistry, caseSensitive = false) {
+    new Analyzer(caseInsensitiveCatalog, EmptyFunctionRegistry, caseInsensitiveConf) {
       override val extendedResolutionRules = EliminateSubQueries :: Nil
     }
 
-
   def caseSensitiveAnalyze(plan: LogicalPlan): Unit =
     caseSensitiveAnalyzer.checkAnalysis(caseSensitiveAnalyzer.execute(plan))
 
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/DecimalPrecisionSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/DecimalPrecisionSuite.scala
index 36b03d1c65e283a8ff5537665555332dc6017c10..565b1cfe019c7833dfa5d6280324336de73f99ff 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/DecimalPrecisionSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/DecimalPrecisionSuite.scala
@@ -17,14 +17,17 @@
 
 package org.apache.spark.sql.catalyst.analysis
 
+import org.scalatest.{BeforeAndAfter, FunSuite}
+
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.plans.logical.{Union, Project, LocalRelation}
 import org.apache.spark.sql.types._
-import org.scalatest.{BeforeAndAfter, FunSuite}
+import org.apache.spark.sql.catalyst.SimpleCatalystConf
 
 class DecimalPrecisionSuite extends FunSuite with BeforeAndAfter {
-  val catalog = new SimpleCatalog(false)
-  val analyzer = new Analyzer(catalog, EmptyFunctionRegistry, caseSensitive = false)
+  val conf = new SimpleCatalystConf(true)
+  val catalog = new SimpleCatalog(conf)
+  val analyzer = new Analyzer(catalog, EmptyFunctionRegistry, conf)
 
   val relation = LocalRelation(
     AttributeReference("i", IntegerType)(),
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/SQLConf.scala b/sql/core/src/main/scala/org/apache/spark/sql/SQLConf.scala
index bfaddd0f2ce1b4b32173b0b37e3f261551579452..98a75bb4ed2dfbc9df4d756f8fea1b6efb907cb3 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/SQLConf.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/SQLConf.scala
@@ -17,10 +17,12 @@
 
 package org.apache.spark.sql
 
+import java.util.Properties
+
 import scala.collection.immutable
 import scala.collection.JavaConversions._
 
-import java.util.Properties
+import org.apache.spark.sql.catalyst.CatalystConf
 
 private[spark] object SQLConf {
   val COMPRESS_CACHED = "spark.sql.inMemoryColumnarStorage.compressed"
@@ -32,6 +34,7 @@ private[spark] object SQLConf {
   val CODEGEN_ENABLED = "spark.sql.codegen"
   val UNSAFE_ENABLED = "spark.sql.unsafe.enabled"
   val DIALECT = "spark.sql.dialect"
+  val CASE_SENSITIVE = "spark.sql.caseSensitive"
 
   val PARQUET_BINARY_AS_STRING = "spark.sql.parquet.binaryAsString"
   val PARQUET_INT96_AS_TIMESTAMP = "spark.sql.parquet.int96AsTimestamp"
@@ -89,7 +92,8 @@ private[spark] object SQLConf {
  *
  * SQLConf is thread-safe (internally synchronized, so safe to be used in multiple threads).
  */
-private[sql] class SQLConf extends Serializable {
+
+private[sql] class SQLConf extends Serializable with CatalystConf {
   import SQLConf._
 
   /** Only low degree of contention is expected for conf, thus NOT using ConcurrentHashMap. */
@@ -158,6 +162,11 @@ private[sql] class SQLConf extends Serializable {
    */
   private[spark] def codegenEnabled: Boolean = getConf(CODEGEN_ENABLED, "false").toBoolean
 
+  /**
+   * caseSensitive analysis true by default
+   */
+  def caseSensitiveAnalysis: Boolean = getConf(SQLConf.CASE_SENSITIVE, "true").toBoolean
+
   /**
    * When set to true, Spark SQL will use managed memory for certain operations.  This option only
    * takes effect if codegen is enabled.
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala b/sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala
index 0ac0936f0f592d50778d97f00d2474ce6c43d826..28fc9d04436f78d19283d9b14bac8abf0cc4d057 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala
@@ -148,7 +148,7 @@ class SQLContext(@transient val sparkContext: SparkContext)
 
   // TODO how to handle the temp table per user session?
   @transient
-  protected[sql] lazy val catalog: Catalog = new SimpleCatalog(true)
+  protected[sql] lazy val catalog: Catalog = new SimpleCatalog(conf)
 
   // TODO how to handle the temp function per user session?
   @transient
@@ -156,7 +156,7 @@ class SQLContext(@transient val sparkContext: SparkContext)
 
   @transient
   protected[sql] lazy val analyzer: Analyzer =
-    new Analyzer(catalog, functionRegistry, caseSensitive = true) {
+    new Analyzer(catalog, functionRegistry, conf) {
       override val extendedResolutionRules =
         ExtractPythonUdfs ::
         sources.PreInsertCastAndRename ::
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
index 77be3b8b206c0d39821b5f9964b6409197b29e6b..b44eb223c80c5bf78e8b5384b05f743e6c3c27bf 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
@@ -22,6 +22,7 @@ import org.scalatest.BeforeAndAfterAll
 import org.apache.spark.sql.catalyst.errors.DialectException
 import org.apache.spark.sql.execution.GeneratedAggregate
 import org.apache.spark.sql.functions._
+import org.apache.spark.sql.catalyst.CatalystConf
 import org.apache.spark.sql.TestData._
 import org.apache.spark.sql.test.TestSQLContext
 import org.apache.spark.sql.test.TestSQLContext.{udf => _, _}
@@ -1277,6 +1278,15 @@ class SQLQuerySuite extends QueryTest with BeforeAndAfterAll {
     checkAnswer(sql("SELECT COUNT(DISTINCT key,value) FROM distinctData"), Row(2))
   }
 
+  test("SPARK-4699 case sensitivity SQL query") {
+    setConf(SQLConf.CASE_SENSITIVE, "false")
+    val data = TestData(1, "val_1") :: TestData(2, "val_2") :: Nil
+    val rdd = sparkContext.parallelize((0 to 1).map(i => data(i)))
+    rdd.toDF().registerTempTable("testTable1")
+    checkAnswer(sql("SELECT VALUE FROM TESTTABLE1 where KEY = 1"), Row("val_1"))
+    setConf(SQLConf.CASE_SENSITIVE, "true")
+  }
+
   test("SPARK-6145: ORDER BY test for nested fields") {
     jsonRDD(sparkContext.makeRDD("""{"a": {"b": 1, "a": {"a": 1}}, "c": [{"d": 1}]}""" :: Nil))
       .registerTempTable("nestedOrder")
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/sources/DataSourceTest.scala b/sql/core/src/test/scala/org/apache/spark/sql/sources/DataSourceTest.scala
index 33c67355967ddc74602c961722284739c03292ed..9d3090c19b4e8938051eb09ce0482bcbcb0aff52 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/sources/DataSourceTest.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/sources/DataSourceTest.scala
@@ -18,25 +18,13 @@
 package org.apache.spark.sql.sources
 
 import org.apache.spark.sql._
-import org.apache.spark.sql.catalyst.analysis.Analyzer
+import org.apache.spark.sql.catalyst.CatalystConf
 import org.apache.spark.sql.test.TestSQLContext
 import org.scalatest.BeforeAndAfter
 
 abstract class DataSourceTest extends QueryTest with BeforeAndAfter {
-  // Case sensitivity is not configurable yet, but we want to test some edge cases.
-  // TODO: Remove when it is configurable
-  implicit val caseInsensisitiveContext = new SQLContext(TestSQLContext.sparkContext) {
-    @transient
-    override protected[sql] lazy val analyzer: Analyzer =
-      new Analyzer(catalog, functionRegistry, caseSensitive = false) {
-        override val extendedResolutionRules =
-          PreInsertCastAndRename ::
-          Nil
+  // We want to test some edge cases.
+  implicit val caseInsensisitiveContext = new SQLContext(TestSQLContext.sparkContext)
 
-        override val extendedCheckRules = Seq(
-          sources.PreWriteCheck(catalog)
-        )
-      }
-  }
+  caseInsensisitiveContext.setConf(SQLConf.CASE_SENSITIVE, "false")
 }
-
diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveContext.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveContext.scala
index 538c6c7f0a200c6adc5565cd4b0715563e8ae1be..3bab648e31d1f2550cdac28f6f77f061f8464a5d 100644
--- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveContext.scala
+++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveContext.scala
@@ -46,6 +46,7 @@ import org.apache.spark.sql.execution.{ExecutedCommand, ExtractPythonUdfs, Query
 import org.apache.spark.sql.hive.client._
 import org.apache.spark.sql.hive.execution.{DescribeHiveTableCommand, HiveNativeCommand}
 import org.apache.spark.sql.sources.{DDLParser, DataSourceStrategy}
+import org.apache.spark.sql.catalyst.CatalystConf
 import org.apache.spark.sql.types._
 import org.apache.spark.util.Utils
 
@@ -329,7 +330,7 @@ class HiveContext(sc: SparkContext) extends SQLContext(sc) {
   /* An analyzer that uses the Hive metastore. */
   @transient
   override protected[sql] lazy val analyzer =
-    new Analyzer(catalog, functionRegistry, caseSensitive = false) {
+    new Analyzer(catalog, functionRegistry, conf) {
       override val extendedResolutionRules =
         catalog.ParquetConversions ::
         catalog.CreateTables ::
@@ -350,6 +351,8 @@ class HiveContext(sc: SparkContext) extends SQLContext(sc) {
   protected[hive] class SQLSession extends super.SQLSession {
     protected[sql] override lazy val conf: SQLConf = new SQLConf {
       override def dialect: String = getConf(SQLConf.DIALECT, "hiveql")
+      override def caseSensitiveAnalysis: Boolean =
+        getConf(SQLConf.CASE_SENSITIVE, "false").toBoolean
     }
 
     /**
diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveMetastoreCatalog.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveMetastoreCatalog.scala
index 8fcdf3d0ab119902bbfd7182c48ef2fc830cfe32..f5398605bc7eb3e5a6ed2a9e3d114af09ca5c72e 100644
--- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveMetastoreCatalog.scala
+++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveMetastoreCatalog.scala
@@ -17,26 +17,18 @@
 
 package org.apache.spark.sql.hive
 
-import java.io.IOException
-import java.util.{List => JList}
-
 import com.google.common.base.Objects
 import com.google.common.cache.{CacheBuilder, CacheLoader, LoadingCache}
 
 import org.apache.hadoop.fs.Path
-import org.apache.hadoop.hive.metastore.api.{FieldSchema, Partition => TPartition, Table => TTable}
-import org.apache.hadoop.hive.metastore.{TableType, Warehouse}
+import org.apache.hadoop.hive.metastore.api.FieldSchema
+import org.apache.hadoop.hive.metastore.Warehouse
 import org.apache.hadoop.hive.ql.metadata._
-import org.apache.hadoop.hive.ql.plan.CreateTableDesc
-import org.apache.hadoop.hive.serde.serdeConstants
-import org.apache.hadoop.hive.serde2.`lazy`.LazySimpleSerDe
-import org.apache.hadoop.hive.serde2.{Deserializer, SerDeException}
-import org.apache.hadoop.util.ReflectionUtils
+import org.apache.hadoop.hive.serde2.Deserializer
 
 import org.apache.spark.Logging
-import org.apache.spark.sql.hive.client.IsolatedClientLoader
 import org.apache.spark.sql.{SaveMode, AnalysisException, SQLContext}
-import org.apache.spark.sql.catalyst.analysis.{MultiInstanceRelation, NoSuchTableException, Catalog, OverrideCatalog}
+import org.apache.spark.sql.catalyst.analysis.{MultiInstanceRelation, Catalog, OverrideCatalog}
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.planning.PhysicalOperation
 import org.apache.spark.sql.catalyst.plans.logical
@@ -44,7 +36,7 @@ import org.apache.spark.sql.catalyst.plans.logical._
 import org.apache.spark.sql.catalyst.rules._
 import org.apache.spark.sql.hive.client._
 import org.apache.spark.sql.parquet.{ParquetRelation2, Partition => ParquetPartition, PartitionSpec}
-import org.apache.spark.sql.sources.{CreateTableUsingAsSelect, DDLParser, LogicalRelation, ResolvedDataSource}
+import org.apache.spark.sql.sources.{CreateTableUsingAsSelect, LogicalRelation, ResolvedDataSource}
 import org.apache.spark.sql.types._
 import org.apache.spark.util.Utils
 
@@ -54,7 +46,7 @@ import scala.collection.JavaConversions._
 private[hive] class HiveMetastoreCatalog(val client: ClientInterface, hive: HiveContext)
   extends Catalog with Logging {
 
-  import org.apache.spark.sql.hive.HiveMetastoreTypes._
+  val conf = hive.conf
 
   /** Usages should lock on `this`. */
   protected[hive] lazy val hiveWarehouse = new Warehouse(hive.hiveconf)
@@ -148,7 +140,7 @@ private[hive] class HiveMetastoreCatalog(val client: ClientInterface, hive: Hive
     val tableProperties = new scala.collection.mutable.HashMap[String, String]
     tableProperties.put("spark.sql.sources.provider", provider)
     if (userSpecifiedSchema.isDefined) {
-      val threshold = hive.conf.schemaStringLengthThreshold
+      val threshold = conf.schemaStringLengthThreshold
       val schemaJsonString = userSpecifiedSchema.get.json
       // Split the JSON string.
       val parts = schemaJsonString.grouped(threshold).toSeq
@@ -355,7 +347,7 @@ private[hive] class HiveMetastoreCatalog(val client: ClientInterface, hive: Hive
             // Inserting into partitioned table is not supported in Parquet data source (yet).
             if !relation.hiveQlTable.isPartitioned &&
               hive.convertMetastoreParquet &&
-              hive.conf.parquetUseDataSourceApi &&
+              conf.parquetUseDataSourceApi &&
               relation.tableDesc.getSerdeClassName.toLowerCase.contains("parquet") =>
           val parquetRelation = convertToParquetRelation(relation)
           val attributedRewrites = relation.output.zip(parquetRelation.output)
@@ -366,7 +358,7 @@ private[hive] class HiveMetastoreCatalog(val client: ClientInterface, hive: Hive
           // Inserting into partitioned table is not supported in Parquet data source (yet).
           if !relation.hiveQlTable.isPartitioned &&
             hive.convertMetastoreParquet &&
-            hive.conf.parquetUseDataSourceApi &&
+            conf.parquetUseDataSourceApi &&
             relation.tableDesc.getSerdeClassName.toLowerCase.contains("parquet") =>
           val parquetRelation = convertToParquetRelation(relation)
           val attributedRewrites = relation.output.zip(parquetRelation.output)
@@ -375,7 +367,7 @@ private[hive] class HiveMetastoreCatalog(val client: ClientInterface, hive: Hive
         // Read path
         case p @ PhysicalOperation(_, _, relation: MetastoreRelation)
             if hive.convertMetastoreParquet &&
-              hive.conf.parquetUseDataSourceApi &&
+              conf.parquetUseDataSourceApi &&
               relation.tableDesc.getSerdeClassName.toLowerCase.contains("parquet") =>
           val parquetRelation = convertToParquetRelation(relation)
           val attributedRewrites = relation.output.zip(parquetRelation.output)
@@ -435,7 +427,7 @@ private[hive] class HiveMetastoreCatalog(val client: ClientInterface, hive: Hive
           val mode = if (allowExisting) SaveMode.Ignore else SaveMode.ErrorIfExists
           CreateTableUsingAsSelect(
             desc.name,
-            hive.conf.defaultDataSourceName,
+            conf.defaultDataSourceName,
             temporary = false,
             mode,
             options = Map.empty[String, String],
@@ -464,7 +456,7 @@ private[hive] class HiveMetastoreCatalog(val client: ClientInterface, hive: Hive
           val mode = if (allowExisting) SaveMode.Ignore else SaveMode.ErrorIfExists
           CreateTableUsingAsSelect(
             tblName,
-            hive.conf.defaultDataSourceName,
+            conf.defaultDataSourceName,
             temporary = false,
             mode,
             options = Map.empty[String, String],
diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/test/TestHive.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/test/TestHive.scala
index 1f40a5340c2cefd0602114cd665cb07dbaedf2bd..1598d4bd47550e6a8e2702d52edb0cbf5ea6f047 100644
--- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/test/TestHive.scala
+++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/test/TestHive.scala
@@ -26,15 +26,16 @@ import org.apache.hadoop.hive.ql.io.avro.{AvroContainerInputFormat, AvroContaine
 import org.apache.hadoop.hive.ql.metadata.Table
 import org.apache.hadoop.hive.ql.parse.VariableSubstitution
 import org.apache.hadoop.hive.ql.processors._
-import org.apache.hadoop.hive.serde2.RegexSerDe
 import org.apache.hadoop.hive.serde2.`lazy`.LazySimpleSerDe
 import org.apache.hadoop.hive.serde2.avro.AvroSerDe
-import org.apache.spark.sql.SQLConf
+
+import org.apache.spark.sql.catalyst.CatalystConf
 import org.apache.spark.sql.catalyst.analysis._
 import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
 import org.apache.spark.sql.execution.CacheTableCommand
 import org.apache.spark.sql.hive._
 import org.apache.spark.sql.hive.execution.HiveNativeCommand
+import org.apache.spark.sql.SQLConf
 import org.apache.spark.util.Utils
 import org.apache.spark.{SparkConf, SparkContext}
 
@@ -103,10 +104,11 @@ class TestHiveContext(sc: SparkContext) extends HiveContext(sc) {
     /** Fewer partitions to speed up testing. */
     protected[sql] override lazy val conf: SQLConf = new SQLConf {
       override def numShufflePartitions: Int = getConf(SQLConf.SHUFFLE_PARTITIONS, "5").toInt
-
       // TODO as in unit test, conf.clear() probably be called, all of the value will be cleared.
       // The super.getConf(SQLConf.DIALECT) is "sql" by default, we need to set it as "hiveql"
       override def dialect: String = super.getConf(SQLConf.DIALECT, "hiveql")
+      override def caseSensitiveAnalysis: Boolean =
+        getConf(SQLConf.CASE_SENSITIVE, "false").toBoolean
     }
   }
 
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
index 7d728fe87bda706689e5efc4371ed6a0fb44890e..2c9c08a9f389804ac24c9c32141aa8f761303839 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
@@ -29,7 +29,6 @@ import org.apache.hadoop.hive.conf.HiveConf.ConfVars
 import org.apache.spark.{SparkFiles, SparkException}
 import org.apache.spark.sql.{AnalysisException, DataFrame, Row}
 import org.apache.spark.sql.catalyst.plans.logical.Project
-import org.apache.spark.sql.functions._
 import org.apache.spark.sql.hive._
 import org.apache.spark.sql.hive.test.TestHive
 import org.apache.spark.sql.hive.test.TestHive._
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala
index c605f1017547af5d8d1e2a19510d34751cd27e5b..1353802604402d155ded68cf65f1aa721bcf406f 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala
@@ -493,6 +493,12 @@ class SQLQuerySuite extends QueryTest {
     }
   }
 
+  test("SPARK-4699 HiveContext should be case insensitive by default") {
+    checkAnswer(
+      sql("SELECT KEY FROM Src ORDER BY value"),
+      sql("SELECT key FROM src ORDER BY value").collect().toSeq)
+  }
+
   test("SPARK-5284 Insert into Hive throws NPE when a inner complex type field has a null value") {
     val schema = StructType(
       StructField("s",
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/parquetSuites.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/parquetSuites.scala
index d5dd0bf58e7026161dc86d6af11425ceb1cffcbd..bf1121ddf027327e53c399b1c23ed18b5f49cec0 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/parquetSuites.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/parquetSuites.scala
@@ -21,14 +21,12 @@ import java.io.File
 
 import org.scalatest.BeforeAndAfterAll
 
-import org.apache.spark.sql.{QueryTest, SQLConf, SaveMode}
+import org.apache.spark.sql.{QueryTest, SQLConf}
 import org.apache.spark.sql.catalyst.expressions.Row
 import org.apache.spark.sql.execution.{ExecutedCommand, PhysicalRDD}
 import org.apache.spark.sql.hive.execution.HiveTableScan
-import org.apache.spark.sql.hive.test.TestHive
 import org.apache.spark.sql.hive.test.TestHive._
 import org.apache.spark.sql.hive.test.TestHive.implicits._
-import org.apache.spark.sql.json.JSONRelation
 import org.apache.spark.sql.sources.{InsertIntoDataSource, LogicalRelation}
 import org.apache.spark.sql.parquet.{ParquetRelation2, ParquetTableScan}
 import org.apache.spark.sql.SaveMode