Applications of multiple DBMSs and algorithms for time-domain astronomy
Main Author: | Shin, Min-Su |
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Format: | Proceeding poster Journal |
Terbitan: |
, 2019
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Subjects: | |
Online Access: |
https://zenodo.org/record/3528387 |
Daftar Isi:
- We present results of using multiple database management systems and algorithms in processing and analyzing time-domain astronomy data. Redis is adopted as our main in-memory spatial data storage for processing time-domain alerts. We also use Google's S2 geometry algorithm and its library to generate light curve products in out time-domain observation programs. SQL-compatible DBMSs store source and object catalogs produced in our analysis, and we have tested three systems: RethinkDB, Vitess, and ClickHouse. Our project uses MongoDB as a main database engine for light curves. We share our experiences with these tools in data analysis for time-domain astronomy.