TheNeuralBit commented on a change in pull request #14717: URL: https://github.com/apache/beam/pull/14717#discussion_r625926900
########## File path: website/www/site/content/en/documentation/glossary.md ########## @@ -0,0 +1,464 @@ +--- +title: "Beam glossary" +--- +<!-- +Licensed 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. +--> + +# Apache Beam glossary + +## Aggregation + +A transform pattern for computing a value from multiple input elements. Aggregation is similar to the reduce operation in the [MapReduce](https://en.wikipedia.org/wiki/MapReduce) model. Aggregation transforms include Count (computes the count of all elements in the aggregation), Max (computes the maximum element in the aggregation), and Sum (computes the sum of all elements in the aggregation). + +For a complete list of aggregation transforms, see: + +* [Java Transform catalog](/documentation/transforms/java/overview/) +* [Python Transform catalog](/documentation/transforms/python/overview/) Review comment: ```suggestion * [Java Transform catalog](/documentation/transforms/java/overview/#aggregation) * [Python Transform catalog](/documentation/transforms/python/overview/#aggregation) ``` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected]
