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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.
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.