Platform-Agnostic Query Translation for Unified Metadata Analysis
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Solution Overview
Problem
Current metadata analysis systems in networked environments, such as e-commerce platforms, operate as data silos, isolating metadata from different sources, making it impossible to search and operate across multiple repositories, and lack user-friendly tools for connecting to and processing streaming metadata from various sources.
Innovation Solution
A system that processes events with platform-dependent metadata through multiple ingestion platforms, generates platform-agnostic queries to retrieve metadata search results, and converts these queries into platform-dependent queries for execution across various ingestion platforms, enabling unified metadata collection and analysis across different platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current monitoring systems store metadata from different sources in separate repositories using preselected ingestion platforms, then each platform can process its specific metadata format, but searching and operations cannot be performed across multiple repositories
Solution Approach 1:
The patent introduces a query translation service as an intermediary layer between the user and multiple ingestion platforms. This service receives platform-agnostic queries, translates them into platform-specific queries, and returns unified results. The intermediary enables cross-platform searching without requiring changes to the underlying platform-specific repositories, thus maintaining platform compatibility while enabling unified access.
Solution Approach 2:
The query translation service provides universal access to multiple platform-specific repositories through a single unified interface. It supports multiple ingestion platforms (Fluentd, Logstash, Filebeat, etc.) and handles various query types (full-text search, aggregation, filtering) across all platforms through the same platform-agnostic query language, making the system universally accessible.
2Ease of operation
If a unified query interface is implemented across multiple ingestion platforms, then cross-platform searching becomes possible, but the complexity of translating between different platform query formats increases
Solution Approach 1:
The query translation service is segmented into multiple platform-specific translator modules, each responsible for translating between a specific ingestion platform's query format and the platform-agnostic query language. This segmentation allows the system to handle each platform's unique query format independently through dedicated translators, reducing the overall translation complexity compared to a monolithic translation approach.
Solution Approach 2:
The translation mechanism works by changing the parameter representation of queries from platform-specific formats to a unified platform-agnostic format. Each translator module transforms query parameters (field names, operators, syntax structures) into equivalent parameters in the target format, enabling unified querying while managing complexity through systematic parameter transformation.
3Stability of the object's composition
If platform-specific repositories are used for each ingestion platform, then each platform can maintain its own metadata format, but the system operates as data silos isolating metadata from different sources
Solution Approach 1:
The query translation service acts as an intermediary that preserves platform-specific metadata formats in their original repositories while enabling unified access. It translates queries to and from platform-specific formats without requiring metadata to be moved or reformatting, thus maintaining format stability while preventing information silos through unified query capability.
Data Source
AI summary
A system and method of generating platform-dependent queries from a platform-agnostic query are disclosed. A data pipeline including a plurality of events having a set of platform-dependent metadata associated therewith is implemented. Each of the plurality of events is processed by one of a plurality of ingestion platforms. A platform-agnostic query configured to obtain one or more metadata search results from the platform-dependent metadata is received and a first platform-dependent query is generated from the platform-agnostic query. The first platform-dependent query is configured to be implemented by at least one target ingestion platform.