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From "ASF GitHub Bot (Jira)" <j...@apache.org>
Subject [jira] [Work logged] (BEAM-10139) Add cross-language wrapper for Java's SpannerIO Write
Date Mon, 16 Nov 2020 18:10:00 GMT

     [ https://issues.apache.org/jira/browse/BEAM-10139?focusedWorklogId=512485&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-512485
]

ASF GitHub Bot logged work on BEAM-10139:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 16/Nov/20 18:09
            Start Date: 16/Nov/20 18:09
    Worklog Time Spent: 10m 
      Work Description: TheNeuralBit commented on a change in pull request #12611:
URL: https://github.com/apache/beam/pull/12611#discussion_r524471761



##########
File path: sdks/python/apache_beam/io/gcp/spanner.py
##########
@@ -0,0 +1,635 @@
+#
+# 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 Spanner in Python pipelines.
+
+  These transforms are currently supported by Beam portable
+  Flink and Spark runners.
+
+  **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 Spanner 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 Spanner
+  transforms. This option is only available for Beam 2.26.0 and later.
+
+  This option requires following pre-requisites before running the Beam
+  pipeline.
+
+  * Install Java runtime in the computer from where the pipeline is constructed
+    and make sure that 'java' command is available.
+
+  In this option, Python SDK will either download (for released Beam version) or
+  build (when running from a Beam Git clone) a expansion service jar and use
+  that to expand transforms. Currently Spanner transforms use the
+  'beam-sdks-java-io-google-cloud-platform-expansion-service' jar for this
+  purpose.
+
+  *Option 2: specify a custom expansion service*
+
+  In this option, you startup your own expansion service and provide that as
+  a parameter when using the transforms provided in this module.
+
+  This option requires following pre-requisites before running the Beam
+  pipeline.
+
+  * Startup your own expansion service.
+  * Update your pipeline to provide the expansion service address when
+    initiating Spanner transforms provided in this module.
+
+  Flink Users can use the built-in Expansion Service of the Flink Runner's
+  Job Server. If you start Flink's Job Server, the expansion service will be
+  started on port 8097. For a different address, please set the
+  expansion_service parameter.
+
+  **More information**
+
+  For more information regarding cross-language transforms see:
+  - https://beam.apache.org/roadmap/portability/
+
+  For more information specific to Flink runner see:
+  - https://beam.apache.org/documentation/runners/flink/

Review comment:
       Yeah it can be done in another PR. Filed BEAM-11269 to track this.




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Issue Time Tracking
-------------------

    Worklog Id:     (was: 512485)
    Time Spent: 36h  (was: 35h 50m)

> Add cross-language wrapper for Java's SpannerIO Write
> -----------------------------------------------------
>
>                 Key: BEAM-10139
>                 URL: https://issues.apache.org/jira/browse/BEAM-10139
>             Project: Beam
>          Issue Type: Sub-task
>          Components: cross-language, io-java-gcp, io-py-gcp
>    Affects Versions: Not applicable
>            Reporter: Piotr Szuberski
>            Assignee: Piotr Szuberski
>            Priority: P2
>              Labels: portability
>             Fix For: Not applicable
>
>          Time Spent: 36h
>  Remaining Estimate: 0h
>
> Add cross-language wrapper for Java's SpannerIO Write



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