aljoscha commented on a change in pull request #14195:
URL: https://github.com/apache/flink/pull/14195#discussion_r534210755



##########
File path: docs/release-notes/flink-1.12.md
##########
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+---
+title: "Release Notes - Flink 1.12"
+---
+<!--
+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
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+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.
+-->
+
+
+These release notes discuss important aspects, such as configuration, behavior,
+or dependencies, that changed between Flink 1.11 and Flink 1.12. Please read
+these notes carefully if you are planning to upgrade your Flink version to 
1.12.
+
+* This will be replaced by the TOC
+{:toc}
+
+
+### APIs
+
+#### Remove deprecated methods in ExecutionConfig 
[FLINK-19084](https://issues.apache.org/jira/browse/FLINK-19084)
+
+Deprecated method `ExecutionConfig#isLatencyTrackingEnabled` was removed, you 
can use `ExecutionConfig#getLatencyTrackingInterval` instead. 
+
+Deprecated and methods without effect were removed: 
`ExecutionConfig#enable/disableSysoutLogging`, 
`ExecutionConfig#set/isFailTaskOnCheckpointError`.
+
+Removed `-q` flag from cli. The option had no effect. 
+
+#### Remove deprecated RuntimeContext#getAllAccumulators 
[FLINK-19032](https://issues.apache.org/jira/browse/FLINK-19032)
+
+The deprecated method `RuntimeContext#getAllAccumulators` was removed. Please 
use `RuntimeContext#getAccumulator` instead. 
+
+#### Deprecated CheckpointConfig#setPreferCheckpointForRecovery due to risk of 
data loss [FLINK-20441](https://issues.apache.org/jira/browse/FLINK-20441)
+
+The `CheckpointConfig#setPreferCheckpointForRecovery` method has been 
deprecated, because using checkpoints for recovery can lead to data loss.
+
+#### FLIP-134: Batch execution for the DataStream API
+
+- Allow explicitly configuring time behaviour on `KeyedStream.intervalJoin()` 
[FLINK-19032](https://issues.apache.org/jira/browse/FLINK-19032)
+
+  Before Flink 1.12 the `KeyedStream.intervalJoin()` operation was changing 
behavior based on the globally set Stream TimeCharacteristic. In Flink 1.12 we 
introduced explicit `inProcessingTime()` and `inEventTime()` methods on 
`IntervalJoin` and the join no longer changes behaviour based on the global 
characteristic. 
+
+- Deprecate `timeWindow()` operations in DataStream API 
[FLINK-19318](https://issues.apache.org/jira/browse/FLINK-19318)
+
+  In Flink 1.12 we deprecated the `timeWindow()` operations in the DataStream 
API. Please use `window(WindowAssigner)` with either a 
`TumblingEventTimeWindows`, `SlidingEventTimeWindows`, 
`TumblingProcessingTimeWindows`, or `SlidingProcessingTimeWindows`. For more 
information, see the deprecation description of 
`TimeCharacteristic`/`setStreamTimeCharacteristic`. 
+
+- Deprecate `StreamExecutionEnvironment.setStreamTimeCharacteristic()` and 
`TimeCharacteristic` 
[FLINK-19319](https://issues.apache.org/jira/browse/FLINK-19319)
+
+  In Flink 1.12 the default stream time characteristic has been changed to 
`EventTime`, thus you don't need to call this method for enabling event-time 
support anymore. Explicitly using processing-time windows and timers works in 
event-time mode. If you need to disable watermarks, please use 
`ExecutionConfig.setAutoWatermarkInterval(long)`. If you are using 
`IngestionTime`, please manually set an appropriate `WatermarkStrategy`. If you 
are using generic "time window" operations (for example 
`KeyedStream.timeWindow()` that change behaviour based on the time 
characteristic, please use equivalent operations that explicitly specify 
processing time or event time). 
+
+- Remove deprecated `DataStream#split` 
[FLINK-19083](https://issues.apache.org/jira/browse/FLINK-19083)
+
+  The `DataStream#split()` operation has been removed after being marked as 
deprecated for a couple of versions. Please use [Side Outputs]({% link 
dev/stream/side_output.md %})) instead.
+
+- Remove deprecated `DataStream#fold()` method and all related classes 
[FLINK-19035](https://issues.apache.org/jira/browse/FLINK-19035)
+
+  The long deprecated `(Windowed)DataStream#fold` was removed in 1.12. Please 
use other operations such as e.g. `(Windowed)DataStream#reduce` that perform 
better in distributed systems. 
+
+#### Remove remaining UdfAnalyzer configurations 
[FLINK-13857](https://issues.apache.org/jira/browse/FLINK-13857)
+
+The `ExecutionConfig#get/setCodeAnalysisMode` method and `SkipCodeAnalysis` 
class were removed. They took no effect even before that change, therefore 
there is no need to use any of these. 
+
+#### Extend CompositeTypeSerializerSnapshot to allow composite serializers to 
signal migration based on outer configuration 
[FLINK-17520](https://issues.apache.org/jira/browse/FLINK-17520)
+
+The `boolean isOuterSnapshotCompatible(TypeSerializer)` on the 
`CompositeTypeSerializerSnapshot` class has been deprecated, in favor of a new 
`OuterSchemaCompatibility#resolveOuterSchemaCompatibility(TypeSerializer)` 
method. Please implement that instead. Compared to the old method, the new 
method allows composite serializers to signal state schema migration based on 
outer schema and configuration. 
+
+#### Bump Scala Macros Version to 2.1.1 
[FLINK-19278](https://issues.apache.org/jira/browse/FLINK-19278)
+
+Flink now relies on Scala Macros 2.1.1. This means that we no longer support 
Scala < 2.11.11. 
+
+#### Allow explicitly configuring time behaviour on CEP PatternStream 
[FLINK-19326](https://issues.apache.org/jira/browse/FLINK-19326)

Review comment:
       This could be further up there with the same notice for 
`KeyedStream.intervalJoin()` 




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