knaufk commented on a change in pull request #9192: [FLINK-12749] [docs] 
[examples] Initial Version of Flink Cluster Playground
URL: https://github.com/apache/flink/pull/9192#discussion_r308531539
 
 

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 File path: docs/getting-started/docker-playgrounds/flink_cluster_playground.md
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+---
+title: "Flink Cluster Playground"
+nav-title: 'Flink Cluster Playground'
+nav-parent_id: docker-playgrounds
+nav-pos: 1
+---
+<!--
+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.
+-->
+
+There are many ways to deploy and operate Apache Flink in various 
environments. Regardless of this
+variety, the fundamental building blocks of a Flink Cluster remain the same 
and similar
+operational principles apply.
+
+This docker compose-based playground will get you started with Apache Flink 
operations quickly and
+will briefly introduce you to the main components that make up a Flink Cluster.
+
+* This will be replaced by the TOC
+{:toc}
+
+## Anatomy of this Playground
+
+This playground consists of a long living
+[Flink Session Cluster]({{ site.baseurl 
}}/concepts/glossary.html#flink-session-cluster) and a Kafka
+Cluster.
+
+A Flink Cluster always consists of a 
+[Flink Master]({{ site.baseurl }}/concepts/glossary.html#flink-master) and one 
or more 
+[Flink TaskManagers]({{ site.baseurl 
}}/concepts/glossary.html#flink-taskmanager). The Flink Master 
+is responsible to handle Job submissions, the supervision of Jobs as well as 
resource 
+management. The Flink TaskManagers are the worker processes and are 
responsible for the execution of 
+the actual [Tasks]({{ site.baseurl }}/concepts/glossary.html#task) which make 
up a Flink Job. In 
+this playground you will start with a single TaskManager, but scale out to 
more TaskManagers later. 
+Additionally, this playground comes with a dedicated *client* container, which 
we use to submit the 
+Flink Job initially and to perform various operational tasks later on.
+
+The Kafka Cluster consists of a Zookeeper server and a Kafka Broker.
+
+<img src="{{ site.baseurl }}/fig/flink-docker-playground.svg" alt="Flink 
Docker Playground"
+class="offset" width="80%" />
+
+When the playground is started a Flink Job called *Flink Event Count* will be 
submitted to the 
+Flink Master. Additionally, two Kafka Topics *input* and *output* are created.
+
+<img src="{{ site.baseurl }}/fig/click-event-count-example.svg" alt="Click 
Event Count Example"
+class="offset" width="80%" />
+
+The Job consumes `ClickEvent`s from the *input* topic, each with a `timestamp` 
and a `page`. The 
+events are then keyed by `page` and counted in one minute 
+[windows]({{ site.baseurl }}/dev/stream/operators/windows.html). The results 
are written to the 
+*output* topic. 
+
+There are six different `page`s and the **events are generated so that each 
window contains exactly 
+one thousand records**.
+
+{% top %}
+
+## Setup
+
+{% if site.version contains "SNAPSHOT" %}
+<p style="border-radius: 5px; padding: 5px" class="bg-danger">
+  <b>Note</b>: The Apache Flink Docker images used for this playground are 
only available for
+  released versions of Apache Flink. Since you are currently looking at the 
latest SNAPSHOT
+  version of the documentation the branch referenced below will not exist. You 
can either change it 
+  manually or switch to the released version of the ocumentation via the 
release picker.
+</p>
+{% endif %}
+
+In this section you will setup the playground locally on your machine and 
verify that the Job is 
+running successfully.
+
+This guide assumes that you have [docker](https://docs.docker.com/) (1.12+) and
+[docker-compose](https://docs.docker.com/compose/) (2.1+) installed on your 
machine.
+
+The required configuration files are available in the 
+[flink-playgrounds](https://github.com/apache/flink-playgrounds) repository. 
Check it out and spin
+up the environment:
+
+{% highlight bash %}
+git clone --branch release-{{ site.version }} 
g...@github.com:apache/flink-playgrounds.git
+cd flink-cluster-playground
+docker-compose up -d
+{% endhighlight %}
+
+Afterwards, `docker-compose ps` should give you the following output:
+
+{% highlight bash %}
+                     Name                                    Command           
    State                   Ports                
+--------------------------------------------------------------------------------------------------------------------------------
+flink-cluster-playground_clickevent-generator_1   /docker-entrypoint.sh java 
...   Up       6123/tcp, 8081/tcp                  
+flink-cluster-playground_client_1                 /docker-entrypoint.sh flin 
...   Exit 0                                       
+flink-cluster-playground_jobmanager_1             /docker-entrypoint.sh jobm 
...   Up       6123/tcp, 0.0.0.0:8081->8081/tcp    
+flink-cluster-playground_kafka_1                  start-kafka.sh               
    Up       0.0.0.0:9094->9094/tcp              
+flink-cluster-playground_taskmanager_1            /docker-entrypoint.sh task 
...   Up       6123/tcp, 8081/tcp                  
+flink-cluster-playground_zookeeper_1              /bin/sh -c /usr/sbin/sshd  
...   Up       2181/tcp, 22/tcp, 2888/tcp, 3888/tcp
+{% endhighlight %}
+
+This indicates that the client container has successfully submitted the Flink 
Job ("Exit 0") and all 
+cluster components as well as the data generator are running ("Up").
+
+## Interaction with the Playground
+
+There are many ways to interact with this playground and its components.
+
+### Flink WebUI
+
+The Flink WebUI is probably the most natural starting point to observe your 
Flink Cluster. It is
+exposed under `http://localhost:8081`. If everything went well, you'll see 
that the cluster initially 
+consists of one TaskManager and one Job called *Click Event Count* is in 
"RUNNING" state.
+
+<img src="{{ site.baseurl }}/fig/playground-webui.png" alt="Playground Flink 
WebUI"
+class="offset" width="100%" />
+
+### Logs
+
+**JobManager**
+
+The JobManager logs can be tailed via `docker-compose`.
+
+{% highlight bash %}
+docker-compose logs -f jobmanager
+{% endhighlight %}
+
+After the initial startup you should mainly see log messages for every 
checkpoint completion.
+
+**TaskManager**
+
+The TaskManager log can be tailed in the same way.
+{% highlight bash %}
+docker-compose logs -f taskmanager
+{% endhighlight %}
+
+After the initial startup you should mainly see log messages for every 
checkpoint completion.
+
+### Flink CLI
+
+The [Flink CLI]({{ site.baseurl }}/ops/cli.html) can be used from within the 
client container. For
+example, to print the `help` message of the Flink CLI you can run
+{% highlight bash%}
+docker-compose run --no-deps client flink --help
+{% endhighlight %}
+
+### Flink REST API
+
+The [Flink REST API]({{ site.baseurl }}/monitoring/rest_api.html#api) is 
exposed via
+`localhost:8081` on the host or via `jobmanager:8081` from the client 
container, e.g. to list all
+currently running jobs, you can run:
+{% highlight bash%}
+docker-compose run --no-deps client curl jobmanager:8081/jobs
+{% endhighlight %}
+
+### Kafka Topics
+
+To manually look at the records in the Kakfa Topics, you can run
+{% highlight bash%}
+//input topic (1000 records/s)
+docker-compose exec kafka kafka-console-consumer.sh --bootstrap-server 
localhost:9092 --topic input
+//output topic (6 records/min)
+docker-compose exec kafka kafka-console-consumer.sh --bootstrap-server 
localhost:9092 --topic output
+{% endhighlight %}
+
+{%  top %}
+
+## Tear Down
+
+To tear down the environment (including the removal of all volumes) run:
+{% highlight bash%}
+docker-compose down -v
+{% endhighlight %}
+
+{%  top %}
+
+## Operational Plays
 
 Review comment:
   I went with "Time to Play". 

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