Query System Selector for Analytics Data Routing
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Solution Overview
Problem
Analyzing large data sets can be time-consuming and inefficient due to the need for analysts to manually select the appropriate query system for processing queries, leading to prolonged wait times and reduced productivity.
Innovation Solution
Implementing a query system selector that applies classification rules to automatically select the most suitable query system for processing queries based on query characteristics, such as data types and sizes, to optimize execution efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a general purpose query system is used to process all queries, then the system is simple to operate, but query execution time increases and analyst productivity decreases
Solution Approach 1:
The patent divides the query processing system into multiple specialized query systems (e.g., query system A, query system B, query system C), each optimized for specific query types or data characteristics. A query classifier automatically segments incoming queries and routes them to the most appropriate specialized system, enabling high productivity without requiring analysts to understand system complexity.
Solution Approach 2:
The patent introduces a query classifier as an intermediary component between the analyst and multiple query systems. This mediator automatically analyzes query characteristics, applies classification rules, and selects the optimal query system, shielding analysts from system complexity while maximizing execution efficiency.
2Loss of time
If analysts manually select query systems for each query, then query execution efficiency is optimized, but the complexity of operation increases and wait time increases
Solution Approach 1:
The query classifier performs self-service by automatically analyzing incoming queries, determining their characteristics, and selecting the most appropriate query system without requiring analyst intervention. This eliminates manual selection overhead and reduces wait time while maintaining ease of operation for analysts.
Solution Approach 2:
The system performs preliminary classification and selection actions automatically before query execution. By pre-establishing classification rules and automatically applying them to incoming queries, the system prepares the optimal execution path in advance, reducing wait time without increasing operational complexity.
3Speed
If multiple specialized query systems are implemented, then query execution speed increases, but the complexity of system management increases
Solution Approach 1:
The query classifier serves as a universal interface that handles all incoming queries regardless of their specific type or characteristics. It applies a unified set of classification rules to route queries to appropriate specialized systems, allowing multiple query systems to be managed through a single multi-functional component, thereby reducing management complexity while maintaining high execution speed.
4Productivity
If analysts switch between different projects during long query waits, then productivity is maintained, but context switching overhead increases and efficiency decreases
Solution Approach 1:
The query classifier automatically manages query routing without requiring analyst intervention or context switching. By self-service classification and automatic system selection, the system reduces query wait times significantly, allowing analysts to remain focused on their current analysis tasks without needing to switch contexts during prolonged waiting periods.
Data Source
AI summary
In an analytics system, an analyst can analyze data by submitting queries, e.g., through an interface to a database. The analytics system can implement multiple query systems that are each configured to query the database. Query systems can be optimized for handling particular types of queries or for querying particular data. As such, some query systems can process certain queries more quickly and/or more efficiently than other query systems. To take advantage of this, when a query is received, query classification rules can be applied to the query. Based on the query classification, a query system can be selected to process the query, and the query can be sent to the selected query system for processing.