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 a723e92114b3297d1ae6ebb3d5d6888dfe4fd816..a309ee35ee58216bebd705d2b70f45c7f8dee70c 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
@@ -17,6 +17,8 @@
 
 package org.apache.spark.sql.catalyst.analysis
 
+import scala.collection.mutable.ArrayBuffer
+
 import org.apache.spark.sql.AnalysisException
 import org.apache.spark.sql.catalyst.expressions.aggregate.{Complete, AggregateExpression2, AggregateFunction2}
 import org.apache.spark.sql.catalyst.expressions._
@@ -25,7 +27,6 @@ import org.apache.spark.sql.catalyst.rules._
 import org.apache.spark.sql.catalyst.trees.TreeNodeRef
 import org.apache.spark.sql.catalyst.{SimpleCatalystConf, CatalystConf}
 import org.apache.spark.sql.types._
-import scala.collection.mutable.ArrayBuffer
 
 /**
  * A trivial [[Analyzer]] with an [[EmptyCatalog]] and [[EmptyFunctionRegistry]]. Used for testing
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/FunctionRegistry.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/FunctionRegistry.scala
index 9b60943a1e1475c81694610f24e3ad12b96d841d..372f80d4a8b16baa10dca79cc8347e8c9f477cf1 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/FunctionRegistry.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/FunctionRegistry.scala
@@ -161,13 +161,6 @@ object FunctionRegistry {
     expression[ToDegrees]("degrees"),
     expression[ToRadians]("radians"),
 
-    // misc functions
-    expression[Md5]("md5"),
-    expression[Sha2]("sha2"),
-    expression[Sha1]("sha1"),
-    expression[Sha1]("sha"),
-    expression[Crc32]("crc32"),
-
     // aggregate functions
     expression[Average]("avg"),
     expression[Count]("count"),
@@ -229,7 +222,15 @@ object FunctionRegistry {
     expression[Year]("year"),
 
     // collection functions
-    expression[Size]("size")
+    expression[Size]("size"),
+
+    // misc functions
+    expression[Crc32]("crc32"),
+    expression[Md5]("md5"),
+    expression[Sha1]("sha"),
+    expression[Sha1]("sha1"),
+    expression[Sha2]("sha2"),
+    expression[SparkPartitionID]("spark_partition_id")
   )
 
   val builtin: FunctionRegistry = {
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/expressions/MonotonicallyIncreasingID.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/MonotonicallyIncreasingID.scala
similarity index 95%
rename from sql/core/src/main/scala/org/apache/spark/sql/execution/expressions/MonotonicallyIncreasingID.scala
rename to sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/MonotonicallyIncreasingID.scala
index eca36b3274420319d24a7a7703da6a5a6e6a9c81..291b7a5bc3af5068ece8a3ce2803fcf9fc258239 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/expressions/MonotonicallyIncreasingID.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/MonotonicallyIncreasingID.scala
@@ -15,11 +15,10 @@
  * limitations under the License.
  */
 
-package org.apache.spark.sql.execution.expressions
+package org.apache.spark.sql.catalyst.expressions
 
 import org.apache.spark.TaskContext
 import org.apache.spark.sql.catalyst.InternalRow
-import org.apache.spark.sql.catalyst.expressions.{Nondeterministic, LeafExpression}
 import org.apache.spark.sql.catalyst.expressions.codegen.{GeneratedExpressionCode, CodeGenContext}
 import org.apache.spark.sql.types.{LongType, DataType}
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/expressions/SparkPartitionID.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/SparkPartitionID.scala
similarity index 93%
rename from sql/core/src/main/scala/org/apache/spark/sql/execution/expressions/SparkPartitionID.scala
rename to sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/SparkPartitionID.scala
index 98c8eab8372aa62b67d403e9aaa9b60215377663..3f6480bbf01149123a9d2f637ff48bae5028e095 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/expressions/SparkPartitionID.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/SparkPartitionID.scala
@@ -15,11 +15,10 @@
  * limitations under the License.
  */
 
-package org.apache.spark.sql.execution.expressions
+package org.apache.spark.sql.catalyst.expressions
 
 import org.apache.spark.TaskContext
 import org.apache.spark.sql.catalyst.InternalRow
-import org.apache.spark.sql.catalyst.expressions.{Nondeterministic, LeafExpression}
 import org.apache.spark.sql.catalyst.expressions.codegen.{GeneratedExpressionCode, CodeGenContext}
 import org.apache.spark.sql.types.{IntegerType, DataType}
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/expression/NondeterministicSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/NondeterministicSuite.scala
similarity index 83%
rename from sql/core/src/test/scala/org/apache/spark/sql/execution/expression/NondeterministicSuite.scala
rename to sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/NondeterministicSuite.scala
index b6e79ff9cc95dc739e79b71ac43ccf0d1742aad7..82894822ab0f4bf2428937072ddeb38ff01d843e 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/expression/NondeterministicSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/NondeterministicSuite.scala
@@ -15,11 +15,9 @@
  * limitations under the License.
  */
 
-package org.apache.spark.sql.execution.expression
+package org.apache.spark.sql.catalyst.expressions
 
 import org.apache.spark.SparkFunSuite
-import org.apache.spark.sql.catalyst.expressions. ExpressionEvalHelper
-import org.apache.spark.sql.execution.expressions.{SparkPartitionID, MonotonicallyIncreasingID}
 
 class NondeterministicSuite extends SparkFunSuite with ExpressionEvalHelper {
   test("MonotonicallyIncreasingID") {
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 56cd8f22e7cf4fa4fef876dea6d0384c3693bd6c..dbb2a09846548e505fe8a9a7571aad86ac86ee0c 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
@@ -31,8 +31,6 @@ import org.apache.spark.SparkContext
 import org.apache.spark.annotation.{DeveloperApi, Experimental}
 import org.apache.spark.api.java.{JavaRDD, JavaSparkContext}
 import org.apache.spark.rdd.RDD
-import org.apache.spark.sql.catalyst.analysis.FunctionRegistry.{expression => FunctionExpression, FunctionBuilder}
-import org.apache.spark.sql.execution.expressions.SparkPartitionID
 import org.apache.spark.sql.SQLConf.SQLConfEntry
 import org.apache.spark.sql.catalyst.analysis._
 import org.apache.spark.sql.catalyst.errors.DialectException
@@ -142,14 +140,7 @@ class SQLContext(@transient val sparkContext: SparkContext)
 
   // TODO how to handle the temp function per user session?
   @transient
-  protected[sql] lazy val functionRegistry: FunctionRegistry = {
-    val reg = FunctionRegistry.builtin
-    val extendedFunctions = List[(String, (ExpressionInfo, FunctionBuilder))](
-      FunctionExpression[SparkPartitionID]("spark__partition__id")
-    )
-    extendedFunctions.foreach { case(name, (info, fun)) => reg.registerFunction(name, info, fun) }
-    reg
-  }
+  protected[sql] lazy val functionRegistry: FunctionRegistry = FunctionRegistry.builtin
 
   @transient
   protected[sql] lazy val analyzer: Analyzer =
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/expressions/package.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/expressions/package.scala
deleted file mode 100644
index 568b7ac2c59878538a975900bae2c8efeba9f936..0000000000000000000000000000000000000000
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/expressions/package.scala
+++ /dev/null
@@ -1,23 +0,0 @@
-/*
- * 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.execution
-
-/**
- * Package containing expressions that are specific to Spark runtime.
- */
-package object expressions
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/functions.scala b/sql/core/src/main/scala/org/apache/spark/sql/functions.scala
index 014899151221302a04839d4897c2655f9d0adf42..4261a5e7cbeb5c86dae8e4a9e010c9b5f835fa68 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/functions.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/functions.scala
@@ -634,7 +634,7 @@ object functions {
    * @group normal_funcs
    * @since 1.4.0
    */
-  def monotonicallyIncreasingId(): Column = execution.expressions.MonotonicallyIncreasingID()
+  def monotonicallyIncreasingId(): Column = MonotonicallyIncreasingID()
 
   /**
    * Return an alternative value `r` if `l` is NaN.
@@ -741,7 +741,7 @@ object functions {
    * @group normal_funcs
    * @since 1.4.0
    */
-  def sparkPartitionId(): Column = execution.expressions.SparkPartitionID()
+  def sparkPartitionId(): Column = SparkPartitionID()
 
   /**
    * Computes the square root of the specified float value.
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/UDFSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/UDFSuite.scala
index 9b326c16350c8b6cb0ffc8cb842518aa933f54d9..d9c8b380ef146a5bdd2832e66f9bdc7975a492e1 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/UDFSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/UDFSuite.scala
@@ -51,10 +51,10 @@ class UDFSuite extends QueryTest {
     df.selectExpr("count(distinct a)")
   }
 
-  test("SPARK-8003 spark__partition__id") {
+  test("SPARK-8003 spark_partition_id") {
     val df = Seq((1, "Tearing down the walls that divide us")).toDF("id", "saying")
     df.registerTempTable("tmp_table")
-    checkAnswer(ctx.sql("select spark__partition__id() from tmp_table").toDF(), Row(0))
+    checkAnswer(ctx.sql("select spark_partition_id() from tmp_table").toDF(), Row(0))
     ctx.dropTempTable("tmp_table")
   }
 
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 8b35c1275f388ba43193ce5de50e552575358ce8..110f51a305861995a32a736270c7e7ecdd91523a 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
@@ -38,9 +38,6 @@ import org.apache.spark.Logging
 import org.apache.spark.SparkContext
 import org.apache.spark.annotation.Experimental
 import org.apache.spark.sql._
-import org.apache.spark.sql.catalyst.analysis.FunctionRegistry.{expression => FunctionExpression, FunctionBuilder}
-import org.apache.spark.sql.catalyst.expressions.ExpressionInfo
-import org.apache.spark.sql.execution.expressions.SparkPartitionID
 import org.apache.spark.sql.SQLConf.SQLConfEntry
 import org.apache.spark.sql.SQLConf.SQLConfEntry._
 import org.apache.spark.sql.catalyst.{TableIdentifier, ParserDialect}
@@ -375,14 +372,8 @@ class HiveContext(sc: SparkContext) extends SQLContext(sc) with Logging {
 
   // Note that HiveUDFs will be overridden by functions registered in this context.
   @transient
-  override protected[sql] lazy val functionRegistry: FunctionRegistry = {
-    val reg = new HiveFunctionRegistry(FunctionRegistry.builtin)
-    val extendedFunctions = List[(String, (ExpressionInfo, FunctionBuilder))](
-      FunctionExpression[SparkPartitionID]("spark__partition__id")
-    )
-    extendedFunctions.foreach { case(name, (info, fun)) => reg.registerFunction(name, info, fun) }
-    reg
-  }
+  override protected[sql] lazy val functionRegistry: FunctionRegistry =
+    new HiveFunctionRegistry(FunctionRegistry.builtin)
 
   /* An analyzer that uses the Hive metastore. */
   @transient
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/UDFSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/UDFSuite.scala
index 9cea5d413c817a177033659765207373e245ffdd..37afc2142abf7cba63f2f901afa834724a0e61e2 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/UDFSuite.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/UDFSuite.scala
@@ -35,9 +35,9 @@ class UDFSuite extends QueryTest {
     assert(ctx.sql("SELECT strlenscala('test', 1) FROM src LIMIT 1").head().getInt(0) === 5)
   }
 
-  test("SPARK-8003 spark__partition__id") {
+  test("SPARK-8003 spark_partition_id") {
     val df = Seq((1, "Two Fiiiiive")).toDF("id", "saying")
     ctx.registerDataFrameAsTable(df, "test_table")
-    checkAnswer(ctx.sql("select spark__partition__id() from test_table LIMIT 1").toDF(), Row(0))
+    checkAnswer(ctx.sql("select spark_partition_id() from test_table LIMIT 1").toDF(), Row(0))
   }
 }