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GeoSpark SQL: An Effective Framework Enabling Spatial Queries on Spark
2017
ISPRS International Journal of Geo-Information
In the era of big data, Internet-based geospatial information services such as various LBS apps are deployed everywhere, followed by an increasing number of queries against the massive spatial data. As a result, the traditional relational spatial database (e.g., PostgreSQL with PostGIS and Oracle Spatial) cannot adapt well to the needs of large-scale spatial query processing. Spark is an emerging outstanding distributed computing framework in the Hadoop ecosystem. This paper aims to address the
doi:10.3390/ijgi6090285
fatcat:ixe7urqadzb5zcbtyxbc4zheva