Paginated Data Retrieval Using Version and Server Identifiers
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Solution Overview
Problem
Existing data retrieval systems face challenges in ensuring data consistency across multiple requests, particularly when different server devices process requests and maintain inconsistent data versions, leading to issues like incomplete or duplicate data retrieval.
Innovation Solution
Implementing paginated data transfer techniques that utilize version and device identifiers in requests and responses to ensure data consistency, allowing requestors to route subsequent requests to the same server device and handle version changes effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is retrieved using multiple requests due to bandwidth, processing, or time constraints, then data retrieval becomes feasible, but data consistency across requests cannot be ensured
Solution Approach 1:
The server includes a version identifier with the initial data response, enabling the client to preliminarily know the data version before making subsequent requests. This preliminary information allows the client to structure future requests to maintain consistency without requiring complex coordination mechanisms.
Solution Approach 2:
The system implements feedback by including version identifiers in both requests and responses. The client sends the received version identifier back in subsequent requests, allowing the server to verify data consistency and detect version changes, thereby maintaining reliable data retrieval across multiple requests.
2Productivity
If requests are routed to different server devices, then load distribution is improved, but data consistency deteriorates due to different data versions on each server
Solution Approach 1:
The server performs preliminary action by including its device identifier and data version identifier in the initial response. This allows the client to capture the specific server instance and data version before potential changes occur, enabling consistent subsequent requests to be routed back to the same server or to verify data equivalence across servers.
Solution Approach 2:
The client provides feedback by including the received device identifier and version identifier in subsequent requests. This feedback mechanism allows the server to determine whether to process the request or redirect it, ensuring that data consistency is maintained even when load distribution would otherwise route requests to different servers.
3Reliability
If version identifiers are included in requests and responses, then data consistency is ensured, but network utilization increases
Solution Approach 1:
The system extracts only the essential version identifier and device identifier from the data payload and includes them as separate fields in requests and responses. This extraction approach minimizes the additional network overhead while maintaining the ability to verify data consistency across multiple requests.
Data Source
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AI summary
In examples, a requestor device requests data from a data platform. A response from the data platform may include a version identifier indicating a version of data used to process the request and a device identifier indicating the server device that processed the request. Accordingly, the requestor device may include the version identifier and device identifier in a subsequent request, such that the request is routed to the server device accordingly. In examples, the server device may evaluate the version identifier to determine whether the request is associated with a different version of the data, as may occur when the data of the server device has since been updated. Similarly, the requestor device may evaluate a version identifier from the data platform as compared to that of a previously received response to determine whether the response is associated with a different version of data than that of a previous response.