Github user sachingoel0101 commented on a diff in the pull request:
https://github.com/apache/flink/pull/1099#discussion_r38868511
--- Diff:
flink-scala/src/main/scala/org/apache/flink/api/scala/utils/package.scala ---
@@ -0,0 +1,124 @@
+/*
+ * 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.flink.api.scala
+
+import org.apache.flink.api.common.ExecutionConfig
+import org.apache.flink.api.common.typeinfo.{BasicTypeInfo,
TypeInformation}
+import org.apache.flink.api.common.typeutils.TypeSerializer
+import org.apache.flink.api.java.Utils
+import org.apache.flink.api.java.utils.{DataSetUtils => jutils}
+import org.apache.flink.api.scala.typeutils.{CaseClassSerializer,
CaseClassTypeInfo}
+
+import _root_.scala.language.implicitConversions
+import _root_.scala.reflect.ClassTag
+
+package object utils {
+
+ /**
+ * This class provides simple utility methods for zipping elements in a
data set with an index
+ * or with a unique identifier, sampling elements from a data set.
+ *
+ * @param self Data Set
+ */
+
+ implicit class DataSetUtils[T: TypeInformation: ClassTag](val self:
DataSet[T]) {
+
+ implicit val tupleTypeInformation = new CaseClassTypeInfo[(Long, T)](
+ classOf[(Long, T)],
--- End diff --
@StephanEwen , is this what you had in mind?
Thanks a lot. Figuring this out cleared up a lot of things for me. :)
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