Queue Dequeue Optimization via Conditional Page Iteration
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Solution Overview
Problem
Existing queue structures experience significant latency during dequeue operations due to the need to search through large numbers of expired messages, which can lead to system time-outs and performance issues when thousands or millions of expired tasks or messages remain queued.
Innovation Solution
Implementing a method for dequeue optimization using conditional iteration, where expired messages are aggregated to determine the latest expiration time, allowing the system to bypass data pages with only expired messages and directly access the next valid message from a second data page, reducing the need for extensive searching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a traditional queue structure is used to store and process messages, then the queue can maintain all messages including expired ones for completeness, but the dequeue operation experiences significant latency when searching through large numbers of expired messages
Solution Approach 1:
The queue is divided into multiple data pages, with each page tracking its own latest expiration time. This segmentation allows the system to independently evaluate and skip entire pages of expired messages without examining individual messages, thereby reducing dequeue search time while maintaining complete message storage across the distributed page structure
Solution Approach 2:
The system pre-calculates and stores the latest expiration time for each data page in advance. When a dequeue operation occurs, this pre-computed metadata allows immediate determination of whether a page contains valid messages, eliminating the need to search through expired messages during the dequeue operation itself
2Reliability
If garbage collection is used to clear expired queue tasks, then the queue can be cleaned up periodically, but it cannot perform cleanup at a rate that prevents system time-outs for extended dequeue searches
Solution Approach 1:
Instead of performing garbage collection during dequeue operations, the system pre-computes and stores the latest expiration time for each data page in advance. This preliminary action transforms the cleanup function from an active scanning process into a passive metadata maintenance task, enabling the system to handle thousands or millions of expired messages without requiring high-speed garbage collection
Solution Approach 2:
The latest expiration time metadata acts as an intermediary between the stored messages and the dequeue operation. By using this intermediate structure, the system avoids direct scanning of expired messages during both dequeue operations and garbage collection, thereby increasing the effective cleanup rate without requiring proportional increases in garbage collection throughput
3Measurement precision
If the queue header cursor moves forward through each entry in the queue during dequeue, then all messages can be examined for validity, but the operation results in significant latency when many messages have expired
Solution Approach 1:
The system extracts the latest expiration time information from each data page and stores it as separate metadata. This extraction allows the dequeue operation to use the pre-computed expiration time to immediately determine page validity without examining individual messages, thereby maintaining precise validity detection while eliminating time-consuming searches through expired messages
Solution Approach 2:
Instead of starting with individual messages and checking their expiration status sequentially, the system inverts the approach by first checking the pre-computed latest expiration time of the data page. This inversion allows the system to skip entire pages of expired messages upfront, reducing dequeue latency while maintaining accurate validity detection through the reversed evaluation order
Data Source
AI summary
Methods for dequeue optimizations in queues are performed by systems and apparatuses. The methods optimize dequeue operations using aggregation of expired messages enqueued in a queue and conditional iteration over enqueued messages based on the aggregation to service dequeue commands. Queues utilize page hierarchies such as root pages, index pages, and data pages. The aggregation of expired messages for pages in the queue determines the latest expired time for messages for a given page, and these latest expired times are stored in their respective pages, including data pages, index pages, and root pages, for use in the conditional iteration. The conditional iteration bypasses pages for which a latest expired time for all messages is prior to the current time when servicing dequeue requests for the queue.