sjwiesman commented on a change in pull request #8903: [FLINK-12747][docs] 
Getting Started - Table API Example Walkthrough
URL: https://github.com/apache/flink/pull/8903#discussion_r306895655
 
 

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 File path: docs/getting-started/walkthroughs/table_api.md
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+---
+title: "Table API"
+nav-id: tableapiwalkthrough
+nav-title: 'Table API'
+nav-parent_id: walkthroughs
+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.
+-->
+
+Apache Flink offers a Table API as a unified, relational API for batch and 
stream processing, i.e., queries are executed with the same semantics on 
unbounded, real-time streams or bounded, recorded streams and produce the same 
results.
+The Table API in Flink is commonly used to ease the definition of data 
analytics, data pipelining, and ETL applications.
+
+* This will be replaced by the TOC
+{:toc}
+
+## What Will You Be Building? 
+
+In this tutorial, you'll learn how to build a continuous ETL pipeline for 
tracking financial transactions by account over time.
+You will start by building your report as a nightly batch job, and then 
migrate to a streaming pipeline.
+
+## Prerequisites
+
+This walkthrough assumes that you have some familiarity with Java or Scala, 
but you should be able to follow along even if you're coming from a different 
programming language.
+It also assumes that you're familiar with basic relational concepts such as 
`SELECT` and `GROUP BY` clauses. 
+
+## Help, I’m Stuck! 
+
+If you get stuck, check out the [community support 
resources](https://flink.apache.org/community.html).
+In particular, Apache Flink's [user mailing 
list](https://flink.apache.org/community.html#mailing-lists) is consistently 
ranked as one of the most active of any Apache project and a great way to get 
help quickly. 
+
+## How To Follow Along
+
+If you want to follow along, you will require a computer with: 
+
+* Java 8 
+* Maven 
+
+There is also a provided Flink Maven Archetype to create a skeleton project 
with all the necessary dependencies quickly.
+
+<div class="codetabs" markdown="1">
+<div data-lang="java" markdown="1">
+{% highlight bash %}
+$ mvn archetype:generate \
+    -DarchetypeGroupId=org.apache.flink \
+    -DarchetypeArtifactId=flink-walkthrough-table-java \{% unless 
site.is_stable %}
+    
-DarchetypeCatalog=https://repository.apache.org/content/repositories/snapshots/
 \{% endunless %}
+    -DarchetypeVersion={{ site.version }} \
+    -DgroupId=spend-report \
+    -DartifactId=spend-report \
+    -Dversion=0.1 \
+    -Dpackage=spendreport \
+    -DinteractiveMode=false
+{% endhighlight %}
+</div>
+<div data-lang="scala" markdown="1">
+{% highlight bash %}
+$ mvn archetype:generate \
+    -DarchetypeGroupId=org.apache.flink \
+    -DarchetypeArtifactId=flink-walkthrough-table-scala \{% unless 
site.is_stable %}
+    
-DarchetypeCatalog=https://repository.apache.org/content/repositories/snapshots/
 \{% endunless %}
+    -DarchetypeVersion={{ site.version }} \
+    -DgroupId=spend-report \
+    -DartifactId=spend-report \
+    -Dversion=0.1 \
+    -Dpackage=spendreport \
+    -DinteractiveMode=false
+{% endhighlight %}
+</div>
+</div>
+
+{% unless site.is_stable %}
+<p style="border-radius: 5px; padding: 5px" class="bg-danger">
+    <b>Note</b>: For Maven 3.0 or higher, it is no longer possible to specify 
the repository (-DarchetypeCatalog) via the commandline. If you wish to use the 
snapshot repository, you need to add a repository entry to your settings.xml. 
For details about this change, please refer to <a 
href="http://maven.apache.org/archetype/maven-archetype-plugin/archetype-repository.html";>Maven
 official document</a>
+</p>
+{% endunless %}
+
+You can edit the `groupId`, `artifactId` and `package` if you like. With the 
above parameters,
+Maven will create a project with all the dependencies to complete this 
tutorial.
+After importing the project into your editor, you will see a file following 
code. 
+
+<div class="codetabs" markdown="1">
+<div data-lang="java" markdown="1">
+{% highlight java %}
+ExecutionEnvironment env   = ExecutionEnvironment.getExecutionEnvironment();
+BatchTableEnvironment tEnv = BatchTableEnvironment.create(env);
+
+tEnv.registerTableSource("transactions", new BoundedTransactionTableSource());
+tEnv.registerTableSink("spend_report", new SpendReportTableSink());
+tEnv.registerFunction("truncateDateToHour", new TruncateDateToHour());
+
+tEnv
+       .scan("transactions")
+       .insertInto("spend_report");
+
+env.execute("Spend Report");
+{% endhighlight %}
+</div>
+
+<div data-lang="scala" markdown="1">
+{% highlight scala %}
+val env  = ExecutionEnvironment.getExecutionEnvironment
+val tEnv = BatchTableEnvironment.create(env)
+
+tEnv.registerTableSource("transactions", new BoundedTransactionTableSource)
+tEnv.registerTableSink("spend_report", new SpendReportTableSink)
+
+val truncateDateToHour = new TruncateDateToHour
+
+tEnv
+       .scan("transactions")
+       .insertInto("spend_report")
+
+env.execute("Spend Report")
+{% endhighlight %}
+</div>
+</div>
+
+Let's break down this code by component. 
+
+## Breaking Down The Code
+
+#### The Execution Environment
+
+The first two lines set up your `ExecutionEnvironment`.
+The execution environment is how you can set properties for your Job, specify 
whether you are writing a batch or streaming application, and create your 
sources.
+This walkthrough begins with the batch environment since we are building a 
periodic batch report.
+It is then wrapped in a `BatchTableEnvironment` to have full access to the 
Table API.
+
+<div class="codetabs" markdown="1">
+<div data-lang="java" markdown="1">
+{% highlight java %}
+ExecutionEnvironment env   = ExecutionEnvironment.getExecutionEnvironment();
+BatchTableEnvironment tEnv = BatchTableEnvironment.create(env);
+{% endhighlight %}
+</div>
+
+<div data-lang="scala" markdown="1">
+{% highlight scala %}
+val env  = ExecutionEnvironment.getExecutionEnvironment
+val tEnv = BatchTableEnvironment.create(env)
+{% endhighlight %}
+</div>
+</div>
+
+
+#### Registering Tables
+
+Next, tables are registered in the execution environment that you can use to 
connect to external systems for reading and writing both batch and streaming 
data.
+A table source provides access to data stored in external systems; such as a 
database, key-value store, message queue, or file system.
+A table sink emits a table to an external storage system.
+Depending on the type of source and sink, they support different formats such 
as CSV, JSON, Avro, or Parquet.
+
+<div class="codetabs" markdown="1">
+<div data-lang="java" markdown="1">
+{% highlight java %}
+tEnv.registerTableSource("transactions", new BoundedTransactionTableSource());
+tEnv.registerTableSink("spend_report", new SpendReportTableSink());
+{% endhighlight %}
+</div>
+
+<div data-lang="scala" markdown="1">
+{% highlight scala %}
+tEnv.registerTableSource("transactions", new BoundedTransactionTableSource)
+tEnv.registerTableSink("spend_report", new SpendReportTableSink)
+{% endhighlight %}
+</div>
+</div>
+
+Two tables are registered, a transaction input table, and a spend report 
output table.
 
 Review comment:
   Actually this should be a semicolon ";" but good catch 

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