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https://issues.apache.org/jira/browse/BEAM-13223?focusedWorklogId=680988&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-680988
]
ASF GitHub Bot logged work on BEAM-13223:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 12/Nov/21 21:05
Start Date: 12/Nov/21 21:05
Worklog Time Spent: 10m
Work Description: pcoet commented on a change in pull request #15941:
URL: https://github.com/apache/beam/pull/15941#discussion_r748574358
##########
File path: website/www/site/content/en/documentation/programming-guide.md
##########
@@ -6555,6 +6555,115 @@ In this section, we will use
[KafkaIO.Read](https://beam.apache.org/releases/jav
#### 13.1.1. Creating cross-language Java transforms
+There are two ways to make Java transforms available to other SDKs.
+
+* Option 1: In some cases, you can use existing Java transforms from other
SDKs without writing any additional Java code.
+* Option 2: You can use arbitrary Java Transforms from other SDKs by adding
few Java classes.
+
+##### 13.1.1.1 Using Existing Java Transforms from Other SDKs Without Writing
more Java Code
+
+Starting with Beam 2.34.0, Python SDK users can use some Java transforms
without writing additional Java code. This can be useful in many cases. For
example,
+* A developer not familiar with Java may need to use an existing Java
transform from a Python pipeline
+* A developer may need to make a Java transform that is already released,
available to a Python pipeline without writing/releasing more Java code
+
+> **Note:** This feature is currently only available when using Java
transforms from a Python pipeline.
+
+To be eligible for direct usage, API of the Java transforms has to follow the
following pattern.
+* Requirement 1: Java transform can be constructed using an available public
constructor or a public static method (a constructor method) in the same Java
class.
Review comment:
"Requirement 1: Java" -> "Requirement 1: The Java"
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Issue Time Tracking
-------------------
Worklog Id: (was: 680988)
Time Spent: 40m (was: 0.5h)
> Document new features of cross-language transforms
> --------------------------------------------------
>
> Key: BEAM-13223
> URL: https://issues.apache.org/jira/browse/BEAM-13223
> Project: Beam
> Issue Type: Improvement
> Components: cross-language, website
> Reporter: Chamikara Madhusanka Jayalath
> Assignee: Chamikara Madhusanka Jayalath
> Priority: P2
> Time Spent: 40m
> Remaining Estimate: 0h
>
> We have to document the following new features.
> * Java-class-lookup based expansion when using Java transforms from Python.
> * URN convention for cross-language transforms
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