Four-Level Non-Volatile Index Engine for High-Speed Data Retrieval
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional search mechanisms are inefficient in indexing and querying large volumes of data, often breaking down when faced with large lists and unable to process inputs quickly enough, such as 500,000 times/second, limiting their inquiry speed.
Innovation Solution
A novel index search engine system utilizing a four-memory level configuration in non-volatile memory, where each memory level has a specified length, with entries in the first three levels pointing to the next level's starting address and the fourth level containing the indexed field value, allowing for rapid data indexing and retrieval without looping, enabling near real-time search results for millions of entries per second.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional search mechanisms break down a large list into halves and loop through them, then the search process is simple to implement, but the indexing and inquiry speed is insufficient (unable to process 500,000 times/second)
Solution Approach 1:
The patent segments the index structure into four distinct memory levels, where each level stores a portion of the indexing data. This segmentation allows parallel access paths and eliminates the need for sequential looping through entire data structures, thereby increasing processing speed to 1 million inquiries per second.
Solution Approach 2:
The patent transitions from a conventional linear or hierarchical index structure to a multi-dimensional four-level memory configuration. Each memory level provides an additional dimension for data organization, enabling direct calculation of record locations through multi-level indexing without sequential search loops.
2Speed
If conventional search mechanisms use simple looping through data lists, then the device complexity is low, but the inquiry speed cannot reach 1 million times/second
Solution Approach 1:
The index is segmented into four memory levels with specific responsibilities at each level. This segmentation transforms the complex high-speed search requirement into manageable segments that can be processed in parallel, achieving 1 million inquiries per second while maintaining structured complexity.
Solution Approach 2:
The patent introduces intermediate index structures at each memory level that act as mediators between the query and the final data location. These intermediate structures (hash tables, binary trees, or direct addressing tables at different levels) simplify the overall search process by breaking down the complex lookup into sequential simpler steps across four levels.
3Reliability
If conventional search mechanisms process large datasets sequentially, then the system is easy to implement, but it cannot achieve near real-time search results
Solution Approach 1:
The patent adds temporal reliability by organizing data across four memory dimensions, enabling near real-time search results. This multi-dimensional structure allows simultaneous access paths that guarantee consistent performance regardless of data size, achieving reliable near real-time responses.
Solution Approach 2:
The index structures at each memory level are pre-computed and organized in advance. This preliminary organization of data across four levels enables direct calculation of record locations during queries, eliminating sequential processing delays and ensuring near real-time response reliability.
Data Source
AI summary
A system for an index search engine includes a first non-volatile memory having a set of partitions. One partition includes one search array file having one or more search array records. The system also includes a second non-volatile memory having an index structure. The index structure includes a four-memory level configuration. Each memory level has a specified memory length. An entry in each memory level of first three levels contains a value pointing to a starting address of immediate next memory level. An entry in the fourth memory level contains a data value including an indexed field value of one of the search array records.