| <!-- |
| ~ 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>GroupByKey</h2> |
| <p>GroupByKey is a Beam transform for processing collections of key/value pairs. It’s a parallel reduction operation, |
| analogous to the Shuffle phase of a Map/Shuffle/Reduce-style algorithm. The input to GroupByKey is a collection of |
| key/value pairs that represents a multimap, where the collection contains multiple pairs that have the same key, |
| but different values. Given such a collection, you use GroupByKey to collect all of the values associated with each |
| unique key.</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.core.html#apache_beam.transforms.core.GroupByKey"> |
| GroupByKey</a> transform that groups words by its first letter. |
| </p> |
| <br> |
| <br> |
| <div class='hint'>Refer to |
| <a href="https://beam.apache.org/releases/pydoc/2.11.0/apache_beam.transforms.core.html#apache_beam.transforms.core.GroupByKey">GroupByKey</a> |
| to solve this problem</div> |
| </html> |
| |
