For technical users, administrators, and auditors, understanding the granular details of the GL_FRC_REPORTS_B table's schema is non-negotiable. The table acts as a single source of truth for report metadata. Below are the most critical columns you will interact with for reporting and auditing.

import java.time.LocalDate; import java.util.List;

Understanding the structure of GL_FRC_REPORTS_B is vital for technical consultants and administrators looking to audit or query report metadata. Below are the key columns: Column Name Description Unique identifier (NUMBER) for each report. REPORT_FOLDER Folder path storing the report (VARCHAR2(1000)). REPORT_PATH Full report path from BI web service (VARCHAR2(1000)). REPORT_TYPE_CODE Type (BIP, Dashboard, Analysis, FR) (VARCHAR2(30)). REPORT_DISPLAY_ICON Path to the display icon (VARCHAR2(400)). REPORT_IMAGE_PATH UI image path (VARCHAR2(400)). BIP_REPORT_JOB_DEFINITION ESS Job definition for BIP (VARCHAR2(1000)). AUTHOR_DISPLAY_NAME Creator's name (VARCHAR2(100)). LAST_MODIFIED_DATE Last modification date (DATE). Using GL_FRC_REPORTS_B for Reporting and Auditing

However, since you requested a , the most helpful response is to provide a structured, informative piece that:

SELECT REPORT_ID, REPORT_PATH, REPORT_TYPE_CODE, LAST_MODIFIED_DATE FROM GL_FRC_REPORTS_B WHERE REPORT_FOLDER LIKE '/Custom/%' ORDER BY LAST_MODIFIED_DATE DESC; Use code with caution. Conclusion

Data-driven approaches to ensure that our timber needs don't outpace the forest's ability to regenerate. Why This Matters for You

If you intended to write something else, possible corrections might include:

If you are an environmental scientist or a student looking to leverage this environmental data, you can: