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https://issues.apache.org/jira/browse/FLINK-9712?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16629071#comment-16629071
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ASF GitHub Bot commented on FLINK-9712:
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fhueske commented on a change in pull request #6741: [FLINK-9712][table,docs]
Document processing time Temporal Table Joins
URL: https://github.com/apache/flink/pull/6741#discussion_r220629382
##########
File path: docs/dev/table/streaming/joins.md
##########
@@ -0,0 +1,93 @@
+---
+title: "Joins"
+nav-parent_id: streaming_tableapi
+nav-pos: 3
+---
+<!--
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+
+In batch processing joins are relatively easy, since we are working on a
bounded completed data sets.
+In stream processing things are a little bit more complicated, especially when
it comes to the issue how to handle that data can change over time.
+Because of that, there are couple of ways to actually perform the join using
either Table API or SQL.
+
+For more information regarding syntax please check Joins sections in [Table
API](../tableApi.html#joins) and [SQL](../sql.html#joins).
+
+* This will be replaced by the TOC
+{:toc}
+
+Regular Joins
+-------------
+
+This is the most basic case in which any new records or changes to either side
of the join input are visible and are affecting whole join result.
+If there is a new record on the left side, it will be joined with all of the
previous and future records on the other side.
Review comment:
"For example, if there is a new ..."
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> Support enrichment joins in Flink SQL/Table API
> -----------------------------------------------
>
> Key: FLINK-9712
> URL: https://issues.apache.org/jira/browse/FLINK-9712
> Project: Flink
> Issue Type: New Feature
> Components: Table API & SQL
> Affects Versions: 1.5.0
> Reporter: Piotr Nowojski
> Assignee: Piotr Nowojski
> Priority: Major
> Labels: pull-request-available
>
> As described here:
> https://docs.google.com/document/d/1KaAkPZjWFeu-ffrC9FhYuxE6CIKsatHTTxyrxSBR8Sk/edit?usp=sharing
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