hequn8128 commented on a change in pull request #11724: [FLINK-16486][python][docs] Add documentation for vectorized Python UDF URL: https://github.com/apache/flink/pull/11724#discussion_r408594055
########## File path: docs/dev/table/python/vectorized_python_udfs.md ########## @@ -0,0 +1,62 @@ +--- +title: "Vectorized User-defined Functions" +nav-parent_id: python_tableapi +nav-pos: 30 +--- +<!-- +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. +--> + +Vectorized user-defined functions are functions which are executed by transferring a batch of elements between JVM and Python VM in Arrow columnar format. +It shares the similar way as the [non-vectorized user-defined functions]({{ site.baseurl }}/dev/table/python/python_udfs.html) on how to +define vectorized user-defined functions. Users only need to add an extra parameter udf_type="pandas" in the decorator `udf` to mark it as a vectorized user-defined function. Review comment: change to \`udf_type="pandas"\` ---------------------------------------------------------------- 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: us...@infra.apache.org With regards, Apache Git Services
