Index Data Processing Pipeline Preview Before Production Indexing
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Solution Overview
Problem
Existing search engines face challenges in processing machine-generated data due to improper and ineffective configuration rules, leading to polluted index data and reduced search result quality.
Innovation Solution
Implement a system that previews search results before indexing by using a pipeline process to generate preview index data in a separate store, allowing for iterative modification of configuration information to ensure accurate indexing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If configuration rules are applied to transform raw data into index data, then data processing efficiency is improved, but improper rules generate ineffective index data that pollutes the index store
Solution Approach 1:
The patent implements a preview store that allows configuration rules to be tested on a subset of raw data before being applied to the entire dataset. This preliminary action enables validation of rule effectiveness without committing to full-scale processing, thus preventing pollution of the production index store with ineffective rules while maintaining processing efficiency through staged validation.
Solution Approach 2:
The preview store acts as an intermediary between raw data and the production index store. It provides a buffer zone where configuration rules can be evaluated and validated before deployment to the main indexing system, thereby protecting the production index from being polluted by improper rules while still allowing efficient rule testing and optimization.
2Manufacturing precision
If configuration information is modified iteratively to improve indexing accuracy, then search result quality is improved, but processing time increases
Solution Approach 1:
The patent segments the indexing process into distinct phases: preview indexing on a subset of data and production indexing on the full dataset. This segmentation allows iterative modification and validation of configuration information in the preview phase without repeatedly processing the entire dataset, thereby maintaining high indexing accuracy through iteration while minimizing time loss through efficient phase separation.
Solution Approach 2:
The preview store processes only a partial subset of the total raw data rather than the complete dataset. This partial action enables rapid iterative testing and refinement of configuration rules, allowing multiple rounds of modification and validation in the time it would take to process a single pass over the full dataset, thus achieving high indexing accuracy without excessive time investment.
Data Source
AI summary
Embodiments are directed towards previewing results generated from indexing data raw data before the corresponding index data is added to an index store. Raw data may be received from a preview data source. After an initial set of configuration information may be established, the preview data may be submitted to an index processing pipeline. A previewing application may generate preview results based on the preview index data and the configuration information. The preview results may enable previewing how the data is being processed by the indexing application. If the preview results are not acceptable, the configuration information may be modified. The preview application enables modification of the configuration information until the generated preview results may be acceptable. If the configuration information is acceptable, the preview data may be processed and indexed in one or more index stores.