[SPARK-7321][SQL] Add Column expression for conditional statements (when/otherwise)

python/pyspark/sql/__init__.py

@@ -32,6 +32,8 @@
       Aggregation methods, returned by :func:`DataFrame.groupBy`.
     - L{DataFrameNaFunctions}
       Methods for handling missing data (null values).
+    - L{DataFrameStatFunctions}
+      Methods for statistics functionality.
     - L{functions}
       List of built-in functions available for :class:`DataFrame`.
     - L{types}

python/pyspark/sql/dataframe.py

@@ -1461,6 +1461,37 @@ def between(self, lowerBound, upperBound):
         """
         return (self >= lowerBound) & (self <= upperBound)
 
+    @ignore_unicode_prefix
+    def when(self, condition, value):
+        """Evaluates a list of conditions and returns one of multiple possible result expressions.
+        If :func:`Column.otherwise` is not invoked, None is returned for unmatched conditions.
+
+        See :func:`pyspark.sql.functions.when` for example usage.
+
+        :param condition: a boolean :class:`Column` expression.
+        :param value: a literal value, or a :class:`Column` expression.
+
+        """
+        sc = SparkContext._active_spark_context
+        if not isinstance(condition, Column):
+            raise TypeError("condition should be a Column")
+        v = value._jc if isinstance(value, Column) else value
+        jc = sc._jvm.functions.when(condition._jc, v)
+        return Column(jc)
+
+    @ignore_unicode_prefix
+    def otherwise(self, value):
+        """Evaluates a list of conditions and returns one of multiple possible result expressions.
+        If :func:`Column.otherwise` is not invoked, None is returned for unmatched conditions.
+
+        See :func:`pyspark.sql.functions.when` for example usage.
+
+        :param value: a literal value, or a :class:`Column` expression.
+        """
+        v = value._jc if isinstance(value, Column) else value
+        jc = self._jc.otherwise(value)
+        return Column(jc)
+
     def __repr__(self):
         return 'Column<%s>' % self._jc.toString().encode('utf8')
 

python/pyspark/sql/functions.py

@@ -32,13 +32,14 @@
 
 __all__ = [
     'approxCountDistinct',
+    'coalesce',
     'countDistinct',
     'monotonicallyIncreasingId',
     'rand',
     'randn',
     'sparkPartitionId',
-    'coalesce',
-    'udf']
+    'udf',
+    'when']
 
 
 def _create_function(name, doc=""):
@@ -291,6 +292,27 @@ def struct(*cols):
     return Column(jc)
 
 
+def when(condition, value):
+    """Evaluates a list of conditions and returns one of multiple possible result expressions.
+    If :func:`Column.otherwise` is not invoked, None is returned for unmatched conditions.
+
+    :param condition: a boolean :class:`Column` expression.
+    :param value: a literal value, or a :class:`Column` expression.
+
+    >>> df.select(when(df['age'] == 2, 3).otherwise(4).alias("age")).collect()
+    [Row(age=3), Row(age=4)]
+
+    >>> df.select(when(df.age == 2, df.age + 1).alias("age")).collect()
+    [Row(age=3), Row(age=None)]
+    """
+    sc = SparkContext._active_spark_context
+    if not isinstance(condition, Column):
+        raise TypeError("condition should be a Column")
+    v = value._jc if isinstance(value, Column) else value
+    jc = sc._jvm.functions.when(condition._jc, v)
+    return Column(jc)
+
+
 class UserDefinedFunction(object):
     """
     User defined function in Python

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

@@ -308,6 +308,62 @@ class Column(protected[sql] val expr: Expression) extends Logging {
    */
   def eqNullSafe(other: Any): Column = this <=> other
 
+  /**
+   * Evaluates a list of conditions and returns one of multiple possible result expressions.
+   * If otherwise is not defined at the end, null is returned for unmatched conditions.
+   *
+   * {{{
+   *   // Example: encoding gender string column into integer.
+   *
+   *   // Scala:
+   *   people.select(when(people("gender") === "male", 0)
+   *     .when(people("gender") === "female", 1)
+   *     .otherwise(2))
+   *
+   *   // Java:
+   *   people.select(when(col("gender").equalTo("male"), 0)
+   *     .when(col("gender").equalTo("female"), 1)
+   *     .otherwise(2))
+   * }}}
+   *
+   * @group expr_ops
+   */
+  def when(condition: Column, value: Any):Column = this.expr match {
+    case CaseWhen(branches: Seq[Expression]) =>
+      CaseWhen(branches ++ Seq(lit(condition).expr, lit(value).expr))
+    case _ =>
+      throw new IllegalArgumentException(
+        "when() can only be applied on a Column previously generated by when() function")
+  }
+
+  /**
+   * Evaluates a list of conditions and returns one of multiple possible result expressions.
+   * If otherwise is not defined at the end, null is returned for unmatched conditions.
+   *
+   * {{{
+   *   // Example: encoding gender string column into integer.
+   *
+   *   // Scala:
+   *   people.select(when(people("gender") === "male", 0)
+   *     .when(people("gender") === "female", 1)
+   *     .otherwise(2))
+   *
+   *   // Java:
+   *   people.select(when(col("gender").equalTo("male"), 0)
+   *     .when(col("gender").equalTo("female"), 1)
+   *     .otherwise(2))
+   * }}}
+   *
+   * @group expr_ops
+   */
+  def otherwise(value: Any):Column = this.expr match {
+    case CaseWhen(branches: Seq[Expression]) =>
+      CaseWhen(branches :+ lit(value).expr)
+    case _ =>
+      throw new IllegalArgumentException(
+        "otherwise() can only be applied on a Column previously generated by when() function")
+  }
+
   /**
    * True if the current column is between the lower bound and upper bound, inclusive.
    *

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

@@ -381,6 +381,30 @@ object functions {
    */
   def not(e: Column): Column = !e
 
+  /**
+   * Evaluates a list of conditions and returns one of multiple possible result expressions.
+   * If otherwise is not defined at the end, null is returned for unmatched conditions.
+   *
+   * {{{
+   *   // Example: encoding gender string column into integer.
+   *
+   *   // Scala:
+   *   people.select(when(people("gender") === "male", 0)
+   *     .when(people("gender") === "female", 1)
+   *     .otherwise(2))
+   *
+   *   // Java:
+   *   people.select(when(col("gender").equalTo("male"), 0)
+   *     .when(col("gender").equalTo("female"), 1)
+   *     .otherwise(2))
+   * }}}
+   *
+   * @group normal_funcs
+   */
+  def when(condition: Column, value: Any): Column = {
+    CaseWhen(Seq(condition.expr, lit(value).expr))
+  }
+
   /**
    * Generate a random column with i.i.d. samples from U[0.0, 1.0].
    *

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

@@ -255,6 +255,26 @@ class ColumnExpressionSuite extends QueryTest {
       Row(false, true) :: Row(true, false) :: Row(true, true) :: Nil)
   }
 
+  test("SPARK-7321 when conditional statements") {
+    val testData = (1 to 3).map(i => (i, i.toString)).toDF("key", "value")
+
+    checkAnswer(
+      testData.select(when($"key" === 1, -1).when($"key" === 2, -2).otherwise(0)),
+      Seq(Row(-1), Row(-2), Row(0))
+    )
+
+    // Without the ending otherwise, return null for unmatched conditions.
+    // Also test putting a non-literal value in the expression.
+    checkAnswer(
+      testData.select(when($"key" === 1, lit(0) - $"key").when($"key" === 2, -2)),
+      Seq(Row(-1), Row(-2), Row(null))
+    )
+
+    intercept[IllegalArgumentException] {
+      $"key".when($"key" === 1, -1)
+    }
+  }
+
   test("sqrt") {
     checkAnswer(
       testData.select(sqrt('key)).orderBy('key.asc),