Event Log Bookmarking for Selective Data Retrieval
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Solution Overview
Problem
Current methods for retrieving data from event log files are inefficient, as they often require retrieving entire logs or manually filtering through irrelevant data to obtain specific test results, leading to unnecessary data examination.
Innovation Solution
The implementation of bookmarks within event log files allows for selective marking and retrieval of specific data portions using a syntax-based system, enabling users to specify the exact data range they need, such as events before, after, or between bookmarks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the entire event log file is retrieved, then all event data including test results is obtained, but irrelevant data is also retrieved leading to inefficiency
Solution Approach 1:
The event log file is segmented into multiple sections using bookmark indicators. Each bookmark marks a specific event or time point, dividing the log into manageable segments. Users can retrieve only the segment containing test data by specifying bookmark identifiers, avoiding retrieval of irrelevant portions before and after the test events.
Solution Approach 2:
Bookmarks are inserted into the event log file in advance at known test event locations. This preliminary action allows the system to directly navigate to and retrieve only the relevant test data segment when needed, rather than retrieving the entire log and filtering afterward.
2Quantity of substance
If the last X entries are retrieved using command line interface, then a portion of the log is obtained, but irrelevant data still requires manual filtering
Solution Approach 1:
The log file is divided into segments marked by bookmarks. Instead of retrieving the last X entries and manually filtering, users can specify bookmark identifiers to retrieve only the relevant segment containing test data, eliminating manual filtering effort.
Solution Approach 2:
Bookmarks serve as intermediary markers within the log file that enable direct access to specific segments. These markers act as navigation points that allow the system to locate and retrieve test data without requiring manual examination of irrelevant entries.
3Measurement precision
If manual filtering is performed to extract test data, then specific events are obtained, but time and effort are wasted examining non-related events
Solution Approach 1:
Bookmarks are pre-inserted at test event locations in the log file. This preliminary action enables direct retrieval of test data segments without requiring manual filtering or examination of non-related events, reducing both time and effort while maintaining accuracy.
Solution Approach 2:
The relevant test data segment is extracted from the log file using bookmark identifiers. By specifying the bookmarks that delimit the test portion, the system extracts only the needed data, leaving out all irrelevant events before and after the test period.
Data Source
AI summary
Methods, systems, and computer program products for selectively marking and retrieving data from an event log file are described. One method includes providing a first syntax for user insertion of at least one bookmark into an event log file associated with a computing system, wherein the event log file records event data that pertains to the computing system. The first syntax is received and, in response, the at least one bookmark is inserted into the event log file. The method also includes providing a second syntax for retrieving a user-specified portion of the event log file using the at least one bookmark. The second syntax is received and, in response, the user-specified portion of the event log file is retrieved.