Github user ramkrish86 commented on a diff in the pull request:
https://github.com/apache/flink/pull/1856#discussion_r67117197
--- Diff:
flink-scala/src/main/scala/org/apache/flink/api/scala/DataSet.scala ---
@@ -1599,7 +1601,77 @@ class DataSet[T: ClassTag](set: JavaDataSet[T]) {
def output(outputFormat: OutputFormat[T]): DataSink[T] = {
javaSet.output(outputFormat)
}
-
+
+ /**
+ * Selects an element with minimum value.
+ * <p>
+ * The minimum is computed over the specified fields in lexicographical
order.
+ * <p>
+ * <strong>Example 1</strong>: Given a data set with elements <code>[0,
1], [1, 0]</code>, the
+ * results will be:
+ * <ul>
+ * <li><code>minBy(0)</code>: <code>[0, 1]</code></li>
+ * <li><code>minBy(1)</code>: <code>[1, 0]</code></li>
+ * </ul>
+ * <p>
+ * <strong>Example 2</strong>: Given a data set with elements <code>[0,
0], [0, 1]</code>, the
+ * results will be:
+ * <ul>
+ * <li><code>minBy(0, 1)</code>: <code>[0, 0]</code></li>
+ * </ul>
+ * <p>
+ * If multiple values with minimum value at the specified fields exist,
a random one will be
+ * picked.
+ * <p>
+ * Internally, this operation is implemented as a {@link
ReduceFunction}.
+ *
+ */
+ def minBy(fields: Array[Int]) : ReduceOperator[T] = {
--- End diff --
Done
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