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https://issues.apache.org/jira/browse/SPARK-47773?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17835168#comment-17835168
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L. C. Hsieh commented on SPARK-47773:
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Can you open comment on the SPIP doc?
> Enhancing the Flexibility of Spark's Physical Plan to Enable Execution on
> Various Native Engines
> ------------------------------------------------------------------------------------------------
>
> Key: SPARK-47773
> URL: https://issues.apache.org/jira/browse/SPARK-47773
> Project: Spark
> Issue Type: Epic
> Components: SQL
> Affects Versions: 3.5.1
> Reporter: Ke Jia
> Priority: Major
>
> SPIP doc:
> https://docs.google.com/document/d/1v7sndtIHIBdzc4YvLPI8InXxhI7SnnAQ5HvmM2DGjVE/edit?usp=sharing
> This
> [SPIP|https://docs.google.com/document/d/1v7sndtIHIBdzc4YvLPI8InXxhI7SnnAQ5HvmM2DGjVE/edit?usp=sharing]
> outlines the integration of Gluten's physical plan conversion, validation,
> and fallback framework into Apache Spark. The goal is to enhance Spark's
> flexibility and robustness in executing physical plans and to leverage
> Gluten's performance optimizations. Currently, Spark lacks an official
> cross-platform execution support for physical plans. Gluten's mechanism,
> which employs the Substrait standard, can convert and optimize Spark's
> physical plans, thus improving portability, interoperability, and execution
> efficiency.
> The design proposal advocates for the incorporation of the TransformSupport
> interface and its specialized variants—LeafTransformSupport,
> UnaryTransformSupport, and BinaryTransformSupport. These are instrumental in
> streamlining the conversion of different operator types into a
> Substrait-based common format. The validation phase entails a thorough
> assessment of the Substrait plan against native backends to ensure
> compatibility. In instances where validation does not succeed, Spark's native
> operators will be deployed, with requisite transformations to adapt data
> formats accordingly. The proposal emphasizes the centrality of the plan
> transformation phase, positing it as the foundational step. The subsequent
> validation and fallback procedures are slated for consideration upon the
> successful establishment of the initial phase.
> The integration of Gluten into Spark has already shown significant
> performance improvements with ClickHouse and Velox backends and has been
> successfully deployed in production by several customers.Â
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