implementation for bitwise and,or, not and xor on Column with tests a…

…nd docs

python/pyspark/sql/dataframe.py

@@ -1277,6 +1277,11 @@ def __init__(self, jc):
     __contains__ = _bin_op("contains")
     __getitem__ = _bin_op("getItem")
 
+    # bitwise operators
+    bitwiseOR = _bin_op("bitwiseOR")
+    bitwiseAND = _bin_op("bitwiseAND")
+    bitwiseXOR = _bin_op("bitwiseXOR")
+
     def getItem(self, key):
         """An expression that gets an item at position `ordinal` out of a list,
          or gets an item by key out of a dict.

python/pyspark/sql/functions.py

@@ -104,6 +104,8 @@ def _(col1, col2):
     'toRadians': 'Converts an angle measured in degrees to an approximately equivalent angle ' +
              'measured in radians.',
 
+    'bitwiseNOT': 'Computes bitwise not.',
+
     'max': 'Aggregate function: returns the maximum value of the expression in a group.',
     'min': 'Aggregate function: returns the minimum value of the expression in a group.',
     'first': 'Aggregate function: returns the first value in a group.',

python/pyspark/sql/tests.py

@@ -645,6 +645,19 @@ def test_fillna(self):
         self.assertEqual(row.age, None)
         self.assertEqual(row.height, None)
 
+    def test_bitwise_operations(self):
+        from pyspark.sql import functions
+        row = Row(a=170, b=75)
+        df = self.sqlCtx.createDataFrame([row])
+        result = df.select(df.a.bitwiseAND(df.b)).collect()[0].asDict()
+        self.assertEqual(170 & 75, result['(a & b)'])
+        result = df.select(df.a.bitwiseOR(df.b)).collect()[0].asDict()
+        self.assertEqual(170 | 75, result['(a | b)'])
+        result = df.select(df.a.bitwiseXOR(df.b)).collect()[0].asDict()
+        self.assertEqual(170 ^ 75, result['(a ^ b)'])
+        result = df.select(functions.bitwiseNOT(df.b)).collect()[0].asDict()
+        self.assertEqual(~75, result['~b'])
+
 
 class HiveContextSQLTests(ReusedPySparkTestCase):
 

sql/core/src/main/scala/org/apache/spark/sql/Column.scala

@@ -698,6 +698,37 @@ class Column(protected[sql] val expr: Expression) extends Logging {
       println(expr.prettyString)
     }
   }
+
+  /**
+   * Compute bitwise OR of this expression with another expression.
+   * {{{
+   *   df.select($"colA".bitwiseOR($"colB"))
+   * }}}
+   *
+   * @group expr_ops
+   */
+  def bitwiseOR(other: Any): Column = BitwiseOr(expr, lit(other).expr)
+
+  /**
+   * Compute bitwise AND of this expression with another expression.
+   * {{{
+   *   df.select($"colA".bitwiseAND($"colB"))
+   * }}}
+   *
+   * @group expr_ops
+   */
+  def bitwiseAND(other: Any): Column = BitwiseAnd(expr, lit(other).expr)
+
+  /**
+   * Compute bitwise XOR of this expression with another expression.
+   * {{{
+   *   df.select($"colA".bitwiseXOR($"colB"))
+   * }}}
+   *
+   * @group expr_ops
+   */
+  def bitwiseXOR(other: Any): Column = BitwiseXor(expr, lit(other).expr)
+
 }
 
 

sql/core/src/main/scala/org/apache/spark/sql/functions.scala

@@ -438,6 +438,14 @@ object functions {
    */
   def upper(e: Column): Column = Upper(e.expr)
 
+
+  /**
+   * Computes bitwise NOT.
+   *
+   * @group normal_funcs
+   */
+  def bitwiseNOT(e: Column): Column = BitwiseNot(e.expr)
+
   //////////////////////////////////////////////////////////////////////////////////////////////
   // Math Functions
   //////////////////////////////////////////////////////////////////////////////////////////////

sql/core/src/test/scala/org/apache/spark/sql/ColumnExpressionSuite.scala

@@ -27,8 +27,6 @@ import org.apache.spark.sql.types._
 class ColumnExpressionSuite extends QueryTest {
   import org.apache.spark.sql.TestData._
 
-  // TODO: Add test cases for bitwise operations.
-
   test("collect on column produced by a binary operator") {
     val df = Seq((1, 2, 3)).toDF("a", "b", "c")
     checkAnswer(df.select(df("a") + df("b")), Seq(Row(3)))
@@ -385,4 +383,35 @@ class ColumnExpressionSuite extends QueryTest {
       assert(row.getDouble(1) >= -4.0)
     }
   }
+
+  test("bitwiseAND") {
+    checkAnswer(
+      testData2.select($"a".bitwiseAND(75)),
+      testData2.collect().toSeq.map(r => Row(r.getInt(0) & 75)))
+
+    checkAnswer(
+      testData2.select($"a".bitwiseAND($"b").bitwiseAND(22)),
+      testData2.collect().toSeq.map(r => Row(r.getInt(0) & r.getInt(1) & 22)))
+  }
+
+  test("bitwiseOR") {
+    checkAnswer(
+      testData2.select($"a".bitwiseOR(170)),
+      testData2.collect().toSeq.map(r => Row(r.getInt(0) | 170)))
+
+    checkAnswer(
+      testData2.select($"a".bitwiseOR($"b").bitwiseOR(42)),
+      testData2.collect().toSeq.map(r => Row(r.getInt(0) | r.getInt(1) | 42)))
+  }
+
+  test("bitwiseXOR") {
+    checkAnswer(
+      testData2.select($"a".bitwiseXOR(112)),
+      testData2.collect().toSeq.map(r => Row(r.getInt(0) ^ 112)))
+
+    checkAnswer(
+      testData2.select($"a".bitwiseXOR($"b").bitwiseXOR(39)),
+      testData2.collect().toSeq.map(r => Row(r.getInt(0) ^ r.getInt(1) ^ 39)))
+  }
+
 }

sql/core/src/test/scala/org/apache/spark/sql/DataFrameFunctionsSuite.scala

@@ -17,6 +17,7 @@
 
 package org.apache.spark.sql
 
+import org.apache.spark.sql.TestData._
 import org.apache.spark.sql.functions._
 import org.apache.spark.sql.test.TestSQLContext.implicits._
 import org.apache.spark.sql.types._
@@ -81,4 +82,10 @@ class DataFrameFunctionsSuite extends QueryTest {
       struct(col("a") * 2)
     }
   }
+
+  test("bitwiseNOT") {
+    checkAnswer(
+      testData2.select(bitwiseNOT($"a")),
+      testData2.collect().toSeq.map(r => Row(~r.getInt(0))))
+  }
 }