Automatic Ingestion Code Generation for Parallel Processing Clusters
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Solution Overview
Problem
Parallel processing clusters face challenges in efficiently ingesting and processing large and complex datasets due to their size and varied formats, which hinders the execution of complex processing tasks.
Innovation Solution
A data ingestion control system that automatically generates parallel processing cluster ingestion code in multiple languages, facilitating the ingestion of diverse dataset formats and structures by connecting operators with a web-based interface, generating data schemas, and deploying code to parallel processing clusters for efficient data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If parallel processing clusters process large and complex datasets with multiple terabytes and varied formats, then processing capability is improved, but system complexity and difficulty of data ingestion increase
Solution Approach 1:
The patent introduces an automatic code generation system that acts as an intermediary between the operator and the parallel processing cluster. This system automatically generates ingestion code based on dataset metadata and configuration parameters, eliminating the need for operators to manually write complex ingestion code and reducing system complexity while maintaining high processing capability
Solution Approach 2:
The system performs preliminary actions by automatically generating ingestion code before data processing begins. The code generation system prepares the necessary ingestion logic in advance based on dataset characteristics, allowing the parallel processing cluster to efficiently handle large and complex datasets without requiring operators to pre-configure complex ingestion procedures
2Manufacturing precision
If manual code writing is required for data ingestion, then customization precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system enables self-service by allowing the automatic code generation system to autonomously generate ingestion code based on dataset metadata and operator-provided parameters. The system serves itself by automatically adapting to different dataset formats and generating appropriate ingestion logic without requiring operators to manually write or understand complex code, thus maintaining customization precision while dramatically improving ease of operation
3Extent of automation
If local application installations are required, then software control is improved, but ease of operation deteriorates
Solution Approach 1:
The patent replaces the mechanical system of local application installations with a cloud-based automatic code generation system. Instead of requiring operators to install and configure software locally on their machines, the system operates remotely via a web interface, automatically generating and deploying ingestion code to the parallel processing cluster. This substitution maintains full software control while eliminating the operational burden of local installations
Data Source
AI summary
An ingestion code generation architecture facilities making large and complex datasets available for processing by parallel processing clusters. The architecture generates a set of data ingestion interfaces through which the operator specifies characteristics of their dataset. After receiving the specifications, the architecture automatically samples the dataset, analyzes its structure, and generates program code to ingest the dataset. The architecture solves the technical challenges of making complex and extensive datasets readily available to the parallel processing cluster so that the cluster may successfully perform its specialized processing over the dataset.