Dynamic Logging for Data Stream Processing Servers
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Solution Overview
Problem
Data stream processing servers lack effective logging frameworks to facilitate performance tuning and debugging, as existing solutions often impact runtime performance and do not dynamically adapt to changing query plans.
Innovation Solution
A dynamic logging system that enables and disables logging for specific objects based on their usage within a data stream processing server, using logging configuration information to generate log records and visualize query plan execution, without significantly affecting server performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If logging is enabled for all objects in the data stream processing server, then comprehensive operation data can be captured for performance tuning and debugging, but the server's runtime performance is significantly degraded
Solution Approach 1:
The patent implements dynamic logging by enabling or disabling logging for specific objects based on their current usage state. When an object is instantiated or activated, logging is automatically enabled to capture its operation data. When the object is discarded or deactivated, logging is disabled. This dynamic approach ensures comprehensive data capture for active objects while avoiding the performance overhead of logging for all objects at all times.
Solution Approach 2:
The patent applies logging selectively to specific objects rather than uniformly across the entire system. Each object can have its logging status independently controlled based on its usage. This local quality approach allows the system to capture operation data for only those objects that are currently relevant, reducing the overall logging overhead while maintaining comprehensive monitoring for active components.
2Productivity
If logging is dynamically enabled and disabled for specific objects, then runtime performance is maintained, but the complexity of the logging system increases
Solution Approach 1:
The patent implements a feedback mechanism where the system automatically monitors the usage state of objects and adjusts logging accordingly. When an object is instantiated or activated, the system detects this state change and enables logging. When an object is discarded or deactivated, the system detects this and disables logging. This automated feedback loop reduces the need for manual configuration and simplifies the overall system complexity despite the dynamic nature of the logging mechanism.
Solution Approach 2:
The logging system is designed to automatically manage its own configuration based on object lifecycle events. The system self-adjusts logging enabled/disabled states without requiring external intervention or complex manual configuration. This self-service approach handles the complexity internally while presenting a simpler interface to users, as the logging behavior adapts automatically to system state changes.
3Measurement precision
If logging configuration is manually managed for each object, then logging accuracy is maintained, but the time and effort required for configuration increases
Solution Approach 1:
The patent establishes logging configuration rules in advance that automatically apply to objects based on their usage state. Instead of manually configuring each object individually, the system pre-defines conditions (such as object instantiation or activation) that trigger logging enabled/disabled states. This preliminary configuration approach ensures logging accuracy for relevant objects while eliminating the time-consuming manual configuration process.
Data Source
AI summary
Techniques for logging data pertaining to the operation of a data stream processing server. In one set of embodiments, logging configuration information can be received specifying a functional area of a data stream processing server to be logged. Based on the logging configuration information, logging can be dynamically enabled for objects associated with the functional area that are instantiated by the data stream processing server, and logging can be dynamically disabled for objects associated with the functional area that are discarded (or no longer used) by the data stream processing server. In another set of embodiments, a tool can be provided for visualizing the data logged by the data stream processing server.