Github user tzulitai commented on a diff in the pull request:
https://github.com/apache/flink/pull/1982#discussion_r62816955
--- Diff:
flink-quickstart/flink-quickstart-scala/src/main/resources/archetype-resources/src/main/scala/StreamingJob.scala
---
@@ -0,0 +1,69 @@
+package ${package}
+
+/**
+ * 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.
+ */
+
+import org.apache.flink.api.scala._
+
+/**
+ * Skeleton for a Flink Streaming Job.
+ *
+ * For a full example of a Flink Streaming Job, see the
SocketTextStreamWordCount.java
+ * file in the same package/directory or have a look at the website.
+ *
+ * You can also generate a .jar file that you can submit on your Flink
+ * cluster. Just type
+ * {{{
+ * mvn clean package
+ * }}}
+ * in the projects root directory. You will find the jar in
+ * target/flink-quickstart-0.1-SNAPSHOT.jar
+ * From the cli you can then run
+ * {{{
+ * ./bin/flink run -c <StreamingJob> <quickstart jar>
+ * }}}
+ */
+object StreamingJob {
+ def main(args: Array[String]) {
+ // set up the streaming execution environment
+ val env = StreamExecutionEnvironment.getExecutionEnvironment
+
+ /**
+ * Here, you can start creating your execution plan for Flink.
+ *
+ * Start with getting some data from the environment, like
+ * env.readTextFile(textPath);
+ *
+ * then, transform the resulting DataSet[String] using operations
--- End diff --
Mistype here, DataStream[String] ?
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