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Subject [GitHub] fhueske commented on a change in pull request #6741: [FLINK-9712][table, docs] Document processing time Temporal Table Joins
Date Wed, 26 Sep 2018 16:36:18 GMT
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_r220635686

 File path: docs/dev/table/streaming/joins.md
 @@ -0,0 +1,93 @@
+title: "Joins"
+nav-parent_id: streaming_tableapi
+nav-pos: 3
+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
+KIND, either express or implied.  See the License for the
+specific language governing permissions and limitations
+under the License.
+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
+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
+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.
+Such semantic has an important limitation:
+it requires to keep both sides of the join input on the state indefinitely and resource usage
will grow indefinitely as well.
+{% highlight sql %}
+ON Orders.productId = Product.id
+{% endhighlight %}
+Time-windowed Joins
+In this case we are restricting scope of the join to some time window.
+This allows Flink to remove old values from the state (using [watermarks](time_attributes.html)
without affecting the correctness of the result.
+{% highlight sql %}
+  Orders o,
+  Shipments s
+WHERE o.id = s.orderId AND
+      o.ordertime BETWEEN s.shiptime - INTERVAL '4' HOUR AND s.shiptime
+{% endhighlight %}
+Temporal Table Joins
+Temporal Table Joins allow to join a stream (left/probe side) with a table (right/build side)
that changes over time.
+For each record from the probe side, it will be joined only with the latest version of the
build side.
+That means (in contrast to [Regular Joins](#regular-joins)) if there is a new record on the
build side,
+it will not affect the previous past results of the join.
+This again allow Flink to limit the number of elements that must be kept on the state.
+In order to support updates (overwrites) of previous values on the build side table, this
table must define a primary key.
+Compared to [Time-windowed Joins](#time-windowed-joins),
+Temporal Table Joins are not defining a time window within which bounds the records will
be joined.
+Records from the probe side are joined with the most recent versions of the build side and
records on the build side might be arbitrary old.
 Review comment:
   We need to rephrase "most recent version" once we support event time. Maybe it makes sense
to explain this a bit more general. This would also help to understand the syntax better (why
do we need to pass a proc time attribute into the temporal table function?)

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