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Journal of Pure and Applied Mathematics

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Intro-The partitioned array data structure library and lineDB

Author(s): Duke Grable*

The partitioned array and now, the LineDB library aims to solve the problem of large arrays in high level settings. That is, they don’t work. Memory limitations and the limitations of hardware prevent an array database from storing, say, 1,000,000 entries. The partitioned array/ manager is designed to only look at a specific “file context" (and,”database” in ‘LineDB’), and partitions within that given ‘file context’.

While ‘LineDB’ resolves all problems of managing partitioned array file objects, it is still necessary to at least understand how to start a new object, allocate it, save all files to disk, get, and add elements to the object.

The ‘partitioned array library’ at its core, is capable of storing data created in the ‘partitioned array’ libraries to disk on function call. I found this very useful for anything, because now it is easy to manage an “array of hashes'” data structure. The file format it is stored to is the ‘JSON’ file format and object specification (‘javascript object notation’), and the partitioned array data structure uses the Ruby programming language, with ports for other languages such as ‘Rust’ and ‘Python’ on its way thanks to ongoing AI advancements..


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Google Scholar citation report
Citations : 7299

Journal of Pure and Applied Mathematics received 7299 citations as per Google Scholar report

Journal of Pure and Applied Mathematics peer review process verified at publons
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