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View All on GitHubFast. Easy. Done. Processing Excels without worrying about large files causing OOM.
Fast. Easy. Done. Processing Excels without worrying about large files causing OOM.
AI Summary: The task is to refactor the FastExcel Java library to consistently use Lombok's `@Slf4j` annotation for logging instead of the current mixed approach of `@Slf4j` and `Logger`. This involves replacing all instances of `Logger` with `@Slf4j` and potentially adjusting related code to accommodate the change. A pull request is expected.
Fast. Easy. Done. Processing Excels without worrying about large files causing OOM.
AI Summary: Optimize the project version management for FastExcel, a Java library for processing Excel files, potentially leveraging the existing flatten-maven-plugin. This involves investigating current version management practices, proposing improvements, and implementing those improvements via a pull request.
Fast. Easy. Done. Processing Excels without worrying about large files causing OOM.
AI Summary: Implement the `hashCode()` and `equals()` methods for the `ReadSheet` class in the FastExcel Java library. The implementation should use the `sheetNo` and `sheetName` fields for comparison. This is necessary to ensure correct functionality when using `ReadSheet` objects as keys in a `Map`.
Fast. Easy. Done. Processing Excels without worrying about large files causing OOM.