piotr-szuberski commented on a change in pull request #12145: URL: https://github.com/apache/beam/pull/12145#discussion_r453064853
########## File path: sdks/python/apache_beam/io/external/jdbc.py ########## @@ -0,0 +1,254 @@ +# +# 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. +# + +"""PTransforms for supporting Jdbc in Python pipelines. + + These transforms are currently supported by Beam portable runners (for + example, portable Flink and Spark) as well as Dataflow runner. + + **Setup** + + Transforms provided in this module are cross-language transforms + implemented in the Beam Java SDK. During the pipeline construction, Python SDK + will connect to a Java expansion service to expand these transforms. + To facilitate this, a small amount of setup is needed before using these + transforms in a Beam Python pipeline. + + There are several ways to setup cross-language Jdbc transforms. + + * Option 1: use the default expansion service + * Option 2: specify a custom expansion service + + See below for details regarding each of these options. + + *Option 1: Use the default expansion service* + + This is the recommended and easiest setup option for using Python Jdbc Review comment: Right, done ---------------------------------------------------------------- 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]
