blob: 48f2f97bbd81c42905cede7f18b5babf1a8998d2 [file] [log] [blame]
<!--
~ 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.
-->
<html>
<h2>CoGroupByKey</h2>
<p>CoGroupByKey performs a relational join of two or more key/value PCollections that have the same key type.</p>
<p>In this task, we are going to implement a
<a href="https://beam.apache.org/releases/pydoc/2.11.0/apache_beam.transforms.util.html#apache_beam.transforms.util.CoGroupByKey">
CoGroupByKey</a> transform that join words by its first alphabetical letter, and then produces the string
representation of the WordsAlphabet model.
</p>
<br>
<br>
<div class='hint'>Refer to
<a href="https://beam.apache.org/releases/pydoc/2.11.0/apache_beam.transforms.util.html#apache_beam.transforms.util.CoGroupByKey">CoGroupByKey</a>
to solve this problem</div>
</html>