تقرير
Partial Adaptive Indexing for Approximate Query Answering
| العنوان: | Partial Adaptive Indexing for Approximate Query Answering |
|---|---|
| المؤلفون: | Maroulis, Stavros, Bikakis, Nikos, Stamatopoulos, Vassilis, Papastefanatos, George |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Databases, H.3.1, H.2.4, E.1 |
| الوصف: | In data exploration, users need to analyze large data files quickly, aiming to minimize data-to-analysis time. While recent adaptive indexing approaches address this need, they are cases where demonstrate poor performance. Particularly, during the initial queries, in regions with a high density of objects, and in very large files over commodity hardware. This work introduces an approach for adaptive indexing driven by both query workload and user-defined accuracy constraints to support approximate query answering. The approach is based on partial index adaptation which reduces the costs associated with reading data files and refining indexes. We leverage a hierarchical tile-based indexing scheme and its stored metadata to provide efficient query evaluation, ensuring accuracy within user-specified bounds. Our preliminary evaluation demonstrates improvement on query evaluation time, especially during initial user exploration. Comment: This article appears in 7th International Workshop on Big Data Visual Exploration and Analytics (BigVis 2024) |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2407.18702 |
| رقم الأكسشن: | edsarx.2407.18702 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |