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Auteurs principaux: Dani, Calvin, Jahangiri, Shiva, Hütter, Thomas
Format: Preprint
Publié: 2024
Sujets:
Accès en ligne:https://arxiv.org/abs/2411.13278
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author Dani, Calvin
Jahangiri, Shiva
Hütter, Thomas
author_facet Dani, Calvin
Jahangiri, Shiva
Hütter, Thomas
contents This paper introduces a novel approach to schema inference as an on-demand function integrated directly within a DBMS, targeting NoSQL databases where schema flexibility can create challenges. Unlike previous methods relying on external frameworks like Apache Spark, our solution enables schema inference as a SQL function, allowing users to infer schemas natively within the DBMS. Implemented in Apache AsterixDB, it performs schema discovery in two phases, local inference and global schema merging, leveraging internal resources for improved performance. Experiments with real world datasets show up to a two orders of magnitude performance boost over external methods, enhancing usability and scalability.
format Preprint
id arxiv_https___arxiv_org_abs_2411_13278
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Introducing Schema Inference as a Scalable SQL Function [Extended Version]
Dani, Calvin
Jahangiri, Shiva
Hütter, Thomas
Databases
This paper introduces a novel approach to schema inference as an on-demand function integrated directly within a DBMS, targeting NoSQL databases where schema flexibility can create challenges. Unlike previous methods relying on external frameworks like Apache Spark, our solution enables schema inference as a SQL function, allowing users to infer schemas natively within the DBMS. Implemented in Apache AsterixDB, it performs schema discovery in two phases, local inference and global schema merging, leveraging internal resources for improved performance. Experiments with real world datasets show up to a two orders of magnitude performance boost over external methods, enhancing usability and scalability.
title Introducing Schema Inference as a Scalable SQL Function [Extended Version]
topic Databases
url https://arxiv.org/abs/2411.13278