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[FLINK-3852] [quickstart] Add skeleton StreamingJob
- move Job to BatchJob - comment out transformers for the mainClass setting - tidy up SocketTextStreamWordCount - update docs This closes apache#1982
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73 changes: 73 additions & 0 deletions
73
...nk-quickstart-java/src/main/resources/archetype-resources/src/main/java/StreamingJob.java
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package ${package}; | ||
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/** | ||
* Licensed to the Apache Software Foundation (ASF) under one | ||
* or more contributor license agreements. See the NOTICE file | ||
* distributed with this work for additional information | ||
* regarding copyright ownership. The ASF licenses this file | ||
* to you under the Apache License, Version 2.0 (the | ||
* "License"); you may not use this file except in compliance | ||
* with the License. You may obtain a copy of the License at | ||
* | ||
* http:https://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*/ | ||
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import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; | ||
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/** | ||
* Skeleton for a Flink Streaming Job. | ||
* | ||
* For a full example of a Flink Streaming Job, see the SocketTextStreamWordCount.java | ||
* file in the same package/directory or have a look at the website. | ||
* | ||
* You can also generate a .jar file that you can submit on your Flink | ||
* cluster. | ||
* Just type | ||
* mvn clean package | ||
* in the projects root directory. | ||
* You will find the jar in | ||
* target/flink-quickstart-${version}.jar | ||
* From the CLI you can then run | ||
* ./bin/flink run -c ${package}.StreamingJob target/flink-quickstart-${version}.jar | ||
* | ||
* For more information on the CLI see: | ||
* | ||
* http:https://flink.apache.org/docs/latest/apis/cli.html | ||
*/ | ||
public class StreamingJob { | ||
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public static void main(String[] args) throws Exception { | ||
// set up the streaming execution environment | ||
final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); | ||
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/** | ||
* 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 DataStream<String> using operations | ||
* like | ||
* .filter() | ||
* .flatMap() | ||
* .join() | ||
* .coGroup() | ||
* | ||
* and many more. | ||
* Have a look at the programming guide for the Java API: | ||
* | ||
* http:https://flink.apache.org/docs/latest/apis/streaming/index.html | ||
* | ||
*/ | ||
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// execute program | ||
env.execute("Flink Streaming Java API Skeleton"); | ||
} | ||
} |
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73 changes: 73 additions & 0 deletions
73
...quickstart-scala/src/main/resources/archetype-resources/src/main/scala/StreamingJob.scala
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package ${package} | ||
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||
/** | ||
* Licensed to the Apache Software Foundation (ASF) under one | ||
* or more contributor license agreements. See the NOTICE file | ||
* distributed with this work for additional information | ||
* regarding copyright ownership. The ASF licenses this file | ||
* to you under the Apache License, Version 2.0 (the | ||
* "License"); you may not use this file except in compliance | ||
* with the License. You may obtain a copy of the License at | ||
* | ||
* http:https://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*/ | ||
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import org.apache.flink.api.scala._ | ||
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/** | ||
* Skeleton for a Flink Streaming Job. | ||
* | ||
* For a full example of a Flink Streaming Job, see the SocketTextStreamWordCount.java | ||
* file in the same package/directory or have a look at the website. | ||
* | ||
* You can also generate a .jar file that you can submit on your Flink | ||
* cluster. Just type | ||
* {{{ | ||
* mvn clean package | ||
* }}} | ||
* in the projects root directory. You will find the jar in | ||
* target/flink-quickstart-${version}.jar | ||
* From the CLI you can then run | ||
* {{{ | ||
* ./bin/flink run -c ${package}.StreamingJob target/flink-quickstart-${version}.jar | ||
* }}} | ||
* | ||
* For more information on the CLI see: | ||
* | ||
* http:https://flink.apache.org/docs/latest/apis/cli.html | ||
*/ | ||
object StreamingJob { | ||
def main(args: Array[String]) { | ||
// set up the streaming execution environment | ||
val env = StreamExecutionEnvironment.getExecutionEnvironment | ||
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/** | ||
* 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 DataStream[String] using operations | ||
* like | ||
* .filter() | ||
* .flatMap() | ||
* .join() | ||
* .group() | ||
* | ||
* and many more. | ||
* Have a look at the programming guide: | ||
* | ||
* http:https://flink.apache.org/docs/latest/apis/streaming/index.html | ||
* | ||
*/ | ||
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// execute program | ||
env.execute("Flink Streaming Scala API Skeleton") | ||
} | ||
} |