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https://issues.apache.org/jira/browse/FLINK-9574?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16693188#comment-16693188
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ASF GitHub Bot commented on FLINK-9574:
---------------------------------------

igalshilman commented on a change in pull request #7124: [FLINK-9574] [doc]  
Rework documentation for custom state serializers and state evolution
URL: https://github.com/apache/flink/pull/7124#discussion_r234956989
 
 

 ##########
 File path: docs/dev/stream/state/schema_evolution.md
 ##########
 @@ -0,0 +1,92 @@
+---
+title: "State Schema Evolution"
+nav-parent_id: streaming_state
+nav-pos: 6
+---
+<!--
+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.
+-->
+
+* ToC
+{:toc}
+
+## Overview
+
+Apache Flink streaming applications are typically designed to run indefinitely 
for long periods of time.
+As with all long-running services, the applications need to be updated to 
adapt to changing requirements.
+This goes the same for data schemas that the applications work against; they 
evolve along with the application.
+
+This page provides an overview of how you can evolve your state type's data 
schema. 
+The current restrictions varies across different type's and state structures 
(et.c `ValueState`, `ListState`, etc.).
+
+Note that the information on this page is relevant only if you are using state 
serializers that is
+generated by Flink's own [type serialization framework]({{ site.baseurl 
}}/dev/types_serialization.html).
+That is, when declaring your state, the provided state descriptor is not 
configured to use a specific `TypeSerializer`
+or `TypeInformation`, and therefore allowing Flink to infer information about 
the state type:
+
+<div data-lang="java" markdown="1">
+{% highlight java %}
+ListStateDescriptor<MyPojoType> descriptor =
+    new ListStateDescriptor<>(
+        "state-name",
+        MyPojoType.class);
+
+checkpointedState = getRuntimeContext().getListState(descriptor);
+{% endhighlight %}
+</div>
+
+Under the hood, whether or not the schema of state can be evolved depends on 
the serializer used to read / write
+persisted state bytes. Simply put, a registered state's schema can only be 
evolved if its serializer properly
+supports it. This is handled transparently by serializers generated by Flink's 
type serialization framework
+(current scope of support is listed [below]({{ site.baseurl 
}}/dev/stream/state/schema_evolution#supported-data-types-for-schema-evolution)).
+
+If you intend to implement a custom `TypeSerializer` for your state type and 
would like to learn how to implement
+the serializer to support state schema evolution, please refer to
+[Custom State Serialization]({{ site.baseurl 
}}/dev/stream/state/custom_serialization).
+The documentation there also covers necessary internal details about the 
interplay between state serializers and Flink's
+state backends to support state schema evolution.
+
+## Evolving state schema
+
+To evolve the schema of a given state type, you would take the following steps:
+
+ 1. Take a savepoint of your Flink streaming job.
+ 2. Update state types in your application (e.g., modifying your Avro / POJO 
type schema).
 
 Review comment:
   Would it make sense to drop Pojo type schema from here since we don't 
support it yet.

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> Add a dedicated documentation page for state evolution
> ------------------------------------------------------
>
>                 Key: FLINK-9574
>                 URL: https://issues.apache.org/jira/browse/FLINK-9574
>             Project: Flink
>          Issue Type: Sub-task
>          Components: Documentation, State Backends, Checkpointing, Type 
> Serialization System
>            Reporter: Tzu-Li (Gordon) Tai
>            Assignee: Tzu-Li (Gordon) Tai
>            Priority: Critical
>              Labels: pull-request-available
>             Fix For: 1.8.0
>
>
> Currently, the only bit of documentation about serializer upgrades / state 
> evolution, is 
> [https://ci.apache.org/projects/flink/flink-docs-release-1.5/dev/stream/state/custom_serialization.html#handling-serializer-upgrades-and-compatibility.],
>  which only explains things at an API level.
> State evolution over the time has proved to be a rather complex topic that is 
> often overlooked by users. Users would probably benefit from a actual 
> full-grown dedicated page that covers both API, some necessary internal 
> details regarding interplay of state serializers, best practices, and caution 
> notices.
> I propose to add this documentation as a subpage under Streaming/State & 
> Fault-Tolerance/.



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