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2 changes: 1 addition & 1 deletion website/www/site/content/en/roadmap/portability.md
Original file line number Diff line number Diff line change
Expand Up @@ -85,7 +85,7 @@ There is also a Python Universal Local Runner and shared java runners library.
Performance is good and multi-language pipelines are supported.
Currently, the Flink and Spark runners support portable pipeline execution
(which is used by default for SDKs other than Java),
as does Dataflow when using the [Dataflow Runner v2](https://cloud.google.com/dataflow/docs/guides/deploying-a-pipeline#dataflow-runner-v2).
as does Dataflow when using the [Dataflow Portable Runner](https://docs.cloud.google.com/dataflow/docs/portable-runner).
See the
[Portability support table](https://s.apache.org/apache-beam-portability-support-table)
for details.
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