Lazy File Views for Low-Memory Data Processing Pipelines
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Solution Overview
Problem
Conventional pipeline designs for data processing in resource-constrained environments face inefficiencies due to high memory and processing demands, especially when handling large data files, leading to increased infrastructure costs and latency.
Innovation Solution
Implementing a lazy pluggable file handling approach that uses abstract file views with metadata and handles to minimize memory usage and processing overhead by passing file views between stages without reading and storing the actual data content until needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional pipeline designs read and store entire file contents in memory, then data processing can be performed, but memory usage increases significantly
Solution Approach 1:
The patent extracts only the necessary metadata and handles from complete data files, creating lightweight file views that contain essential information (file properties, tags, and access handles) without including the actual data content. This extraction principle reduces memory usage from storing entire files to storing only metadata structures.
Solution Approach 2:
The patent creates abstract copies of data files in the form of file views, which are lightweight metadata structures containing handles to the actual data. These copies enable pipeline operations to be configured and executed without loading the full data content into memory, reducing resource consumption while maintaining processing capability.
2Productivity
If conventional pipeline designs parse file content at each stage, then data transformation can be performed, but processor utilization increases
Solution Approach 1:
The patent performs preliminary actions by pre-configuring pipeline stages with file view metadata and handles before actual data processing begins. Pipeline stages are set up with the necessary information to access and transform data lazily, avoiding the need to parse entire file contents upfront and reducing processor utilization during pipeline execution.
3Ease of operation
If entire data files are loaded into memory for processing, then complete data access is available, but memory footprint increases significantly
Solution Approach 1:
The patent introduces file views as intermediary structures between the pipeline system and the actual data files. These file views contain handles that enable indirect access to data file content without loading it into memory. The intermediary layer provides ease of operation by maintaining simple access patterns while dramatically reducing memory footprint through lazy evaluation.
Data Source
AI summary
A data processing pipeline is configured to create and utilize a file view—an abstract representation of a data file that includes a data file content handle and metadata comprising file properties and pipeline-definable tags—that is passed from stage to stage in the pipeline using out-of-band processing (i.e., processing that is independent from data file record processing). The stages in the pipeline are configured to transform the file view by modifying the metadata to enable efficient data file record processing while minimizing the amount of content that needs to be pulled from the data file and held in memory between stages.