Snowpark Migration Accelerator： 应用程序中的评估输出¶
When the Snowpark Migration Accelerator (SMA) finishes analyzing your code, it generates assessment artifacts and automatically takes you to the Assessment Results page.
就绪度分数¶
The Assessment Results page provides a concise overview, displaying only the available readiness scores from the current tool execution.
Snowpark Connect Readiness Score¶
The initial readiness score shown will be the Snowpark Connect Readiness Score. This is a measure of the found references to the Spark API and what percentage of them are supported by Snowpark Connect. This section will show:
Snowpark Connect Readiness Score: the percentage of references to the Spark API that are supported by Snowpark Connect.
What to do next: recommendations on what actions to take before continuing to the next step.
Understanding the Snowpark Connect Readiness Score: description of the readiness score and how to interpret it.
All Identified Spark API Usages: the total count of references to the Spark API found in this codebase
Spark API Usages Compatible with Snowpark Connect: the count of references that are supported by Snowpark Connect.
备注
重要信息：
A high readiness score, even 100%, doesn't guarantee immediate migration success. It indicates that the Spark API references are compatible with Snowflake, suggesting good potential for migration to Snowpark Connect.
您看到的就绪度分数可能与此示例不同，因为您可能使用的是该工具的不同版本，而且这些公共存储库中的源代码可能随时更改，因为它们不受 Snowflake 的控制。
根据您的工具版本，您可能会看到其他就绪度分数。有关了解这些分数的详细信息，请参阅 当前就绪度分数列表。
就绪度分数是应用程序中最重要的审查信息。虽然其他摘要有简要介绍，但您可以在下面的 评估摘要的结论 部分中找到有关准备就绪度分数含义的详细信息。
其他摘要
执行摘要
Below the readiness score section, you will find the execution summary.
执行摘要提供有关当前进程的详细信息。尽管此信息在解决 SMA 团队的问题时可能有所帮助，但此时您无需查看。
应用程序中评估摘要的结论
在继续之前，我们需要评估几个主要方面：
Readiness Level (Compatibility with Snowpark Connect) The assessment shows a Readiness Score of 93.37% (your result may vary based on your tool version). Scores above 80% indicate high Snowpark Connect compatibility, suggesting that migration is recommended for this codebase. To understand the full compatibility picture, we need to examine the complete assessment results in the output folder.
Size of the Spark footprint/impact on this codebase The analysis found 3,742 total Spark API references, with 3,494 automatically supported for conversion. This leaves only 248 references requiring manual conversion. While the total codebase size is unknown, the small number of unsupported references suggests a manageable evaluation effort. These 248 references likely follow a few common patterns, making them easier to assess. The actual conversion effort will be determined during the migration phase.
Based on the analysis, this codebase appears to be well-suited for migration from Spark to Snowpark Connect, with minimal effort required to complete the conversion. Let's examine the remaining output to confirm this assessment.