[SourceDB to Spanner] Fetch size Automation#3260
Conversation
Summary of ChangesHello @sm745052, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request significantly enhances the SourceDB to Spanner migration pipelines by automating the JDBC fetch size configuration. Previously, the fetch size might have been a fixed value or manually configured, potentially leading to suboptimal performance or resource issues. The new implementation dynamically calculates an appropriate fetch size by considering the Dataflow worker's machine type (CPU and memory) and the estimated size of rows being read from the source database. This automation aims to improve the efficiency and stability of data transfer, adapting to varying data characteristics and worker configurations. Highlights
Using Gemini Code AssistThe full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips. Invoking Gemini You can request assistance from Gemini at any point by creating a comment using either
Customization To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a Limitations & Feedback Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here. You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension. Footnotes
|
…mprove FetchSizeCalculator robustness
No description provided.