Unique ID Generation for Data Streaming Records

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Solution Overview

Problem

Data streaming systems often face challenges in ensuring that each record is processed exactly once, particularly in scenarios with overload conditions or unexpected failures, leading to potential over-accounting or loss of records, which can impact the accuracy of real-time analysis and management of dynamic network infrastructure.

Innovation Solution

A method for generating a unique identification for each data record in a data streaming processing system, incorporating the source identification, timestamp, and record count, which is used to ensure that each record is accounted for exactly once by employing replication and unique IDs to manage duplicate processing and failover scenarios.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Speed

If data streaming systems process records in real-time under overload conditions or unexpected failures, then processing speed and real-time analysis capability are improved, but record accuracy and reliability deteriorate due to potential over-accounting or loss of records

Engineering Contradiction:

Improveprocessing speedVSAvoidrecord accuracy

Core Design Contradiction:

SpeedVSReliability

Solution Approach 1:

The system generates unique identification for each data record in advance, before processing occurs. This preliminary tagging with unique IDs (comprising source ID, timestamp, and sequence number) enables the system to track and account for each record throughout the streaming process, ensuring exactly-once processing even under overload conditions or failures without sacrificing processing speed

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system employs feedback mechanisms where downstream operators send acknowledgments back to upstream operators about processed records. This feedback loop, combined with unique ID tracking, allows the system to detect and handle retransmissions or lost records, maintaining reliability while preserving real-time processing capability

Inventive Principle:

Principle #23Feedback

2Reliability

If data streaming systems implement mechanisms to ensure each record is processed exactly once, then record reliability is improved, but system complexity increases due to the need for unique ID generation and tracking

Engineering Contradiction:

Improverecord accounting accuracyVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The unique identification is segmented into distinct components: source ID, timestamp, and sequence number. This segmentation allows each component to serve a specific purpose in tracking records while keeping the overall structure simple and manageable, reducing system complexity compared to using monolithic unique identifiers

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Each data source automatically generates unique IDs for its own records without requiring external coordination or complex centralized management. This self-service approach to unique ID generation simplifies the overall system architecture while ensuring reliable record accounting

Inventive Principle:

Principle #25Self-service

3Reliability

If data streaming systems use ACID transactions to guarantee exactly-once processing, then record reliability is improved, but processing overhead and performance degradation occur

Engineering Contradiction:

Improveexactly-once processing guaranteeVSAvoidprocessing throughput

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system uses lightweight, disposable unique identification tags instead of heavy ACID transaction mechanisms. These unique IDs are simple data structures that can be created and processed with minimal overhead, enabling exactly-once processing guarantees without the performance penalty of full ACID transaction support in the streaming system

Inventive Principle:

Principle #27Cheap short-living objects (Disposable)

Data Source

PatentUS11341140B2Unique identification generation for records in a data streaming processing system

Publication Date: 2022.05.24 AT&T INTELLECTUAL PROPERTY I L P

AI summary

A device, method and computer-readable medium for generating unique identification for records in a data streaming processing system are disclosed. A method may collect an identification of a source of a data record, a timestamp of the data record and a count of a number of records a data source has added to the stream with that timestamp, generate a unique identification with the identification of the source of the data record, the timestamp of the data record and the count of the number of records the data source has added to the stream with that timestamp, apply the unique identification to the data record and transmit the data record with the unique identification to a downstream operator within a data stream processing system.