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https://issues.apache.org/jira/browse/FLINK-10625?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16683614#comment-16683614
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ASF GitHub Bot commented on FLINK-10625:
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twalthr commented on a change in pull request #7070: [FLINK-10625]
Documentation for MATCH_RECOGNIZE clause
URL: https://github.com/apache/flink/pull/7070#discussion_r232598253
##########
File path: docs/dev/table/streaming/match_recognize.md
##########
@@ -0,0 +1,654 @@
+---
+title: 'Detecting event patterns <span class="label label-danger"
style="font-size:50%">Experimental</span>'
+nav-parent_id: streaming_tableapi
+nav-title: 'Detecting event patterns'
+nav-pos: 5
+---
+<!--
+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.
+-->
+
+It is a common use-case to search for set event patterns, especially in case
of data streams. Apache Flink
+comes with [CEP library]({{ site.baseurl }}/dev/libs/cep.html) which allows
for pattern detection in event streams. On the other hand Flink's
+Table API & SQL provides a relational way to express queries that comes with
multiple functions and
+optimizations that can be used out of the box. In December 2016, ISO released
a new version of the
+international SQL standard (ISO/IEC 9075:2016) including the Row Pattern
Recognition for complex event processing,
+which allowed to consolidate those two APIs using MATCH_RECOGNIZE clause.
+
+* This will be replaced by the TOC
+{:toc}
+
+Example query
+-------------
+
+Row Pattern Recognition in SQL is performed using the MATCH_RECOGNIZE clause.
MATCH_RECOGNIZE enables you to do the following tasks:
+* Logically partition and order the data that is used in the MATCH_RECOGNIZE
clause with its PARTITION BY and ORDER BY clauses.
+* Define patterns of rows to seek using the PATTERN clause of the
MATCH_RECOGNIZE clause.
Review comment:
remove "of/in the MATCH_RECOGNIZE clause" for all list items
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> Add MATCH_RECOGNIZE documentation
> ---------------------------------
>
> Key: FLINK-10625
> URL: https://issues.apache.org/jira/browse/FLINK-10625
> Project: Flink
> Issue Type: Sub-task
> Components: Documentation, Table API & SQL
> Affects Versions: 1.7.0
> Reporter: Till Rohrmann
> Assignee: Dawid Wysakowicz
> Priority: Major
> Labels: pull-request-available
> Fix For: 1.7.0
>
>
> The newly added {{MATCH_RECOGNIZE}} functionality needs to be documented.
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