Data Stream Processing with Dynamic Labeling for Real-Time Queries
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Solution Overview
Problem
Current data stream processing systems cannot efficiently handle complex continuous query requests, particularly in real-time scenarios, as they primarily support filtering and simple query conditions, failing to provide real-time responses to queries that require complex combinations of conditions.
Innovation Solution
A method for data stream processing that determines data labels for input data items indicating their matching relationships with query conditions, generating an output data stream with labeled items, which can be further processed to provide real-time query information, enabling support for complex continuous queries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If traditional batch-based data processing is used, then system complexity is low, but processing delay is high and real-time response capability is poor
Solution Approach 1:
The patent segments the continuous data stream into discrete data items and processes them individually through labeled output streams, enabling real-time processing while maintaining manageable system complexity through modular architecture
Solution Approach 2:
The system dynamically processes data streams with varying query conditions by creating multiple output data streams with different labels, allowing the system to adapt to different processing requirements without restructuring the entire system
2Adaptability or versatility
If simple filtering operations are used, then processing efficiency is high, but query capability is limited to simple conditions
Solution Approach 1:
The patent applies preliminary actions by pre-labeling data items in output data streams according to query conditions, so that when complex queries are received, the system can quickly filter and process based on pre-established labels rather than re-evaluating all data
Solution Approach 2:
The output data streams with labels act as intermediaries between the input data stream and query processing, enabling complex query capabilities while maintaining processing efficiency through the intermediary labeling layer
Data Source
AI summary
Data stream processing is performed. For instance, a method includes: in response to a query request on an input data stream, determining data labels for input data items in the input data stream, the data labels at least indicating a first matching relationship between the input data items and a first query condition of the query request; determining an output data stream corresponding to the input data stream, the output data stream including output data items corresponding to the input data items, and each output data item having a data label; and determining query information corresponding to the query request based on the output data stream. In this way, it is possible to respond to real-time query requests for data streams.