[jira] [Created] (HIVE-5168) Extend Hive for spatial query support

["Fusheng Wang (JIRA)" <ji...@apache.org>]

Fusheng Wang created HIVE-5168:
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             Summary: Extend Hive for spatial query support
                 Key: HIVE-5168
                 URL: https://issues.apache.org/jira/browse/HIVE-5168
             Project: Hive
          Issue Type: New Feature
            Reporter: Fusheng Wang


I would like to propose to incorporate a newly developed spatial querying component into Hive.

We have recently developed a high performance MapReduce based spatial querying system Hadoop-GIS, to support large scale spatial queries and analytics. 

Hadoop-GIS is a scalable and high performance spatial data warehousing system for running large scale spatial queries on Hadoop. Hadoop-GIS supports multiple types of spatial queries on MapReduce through space partitioning, customizable spatial query engine RESQUE, implicit parallel spatial query execution on MapReduce, and effective methods for amending query results through handling boundary objects on MapReduce. Hadoop-GIS takes advantage of global partition indexing and customizable on demand local spatial indexing to achieve efficient query processing. Hadoop-GIS is integrated into Hive to support declarative spatial queries with an integrated architecture. 

We have an alpha release. We look forward to contributors in Hive community to contribute to the system. 

github: https://github.com/hadoop-gis

Hadoop-GIS wiki: https://web.cci.emory.edu/confluence/display/HadoopGIS

References:
1. Ablimit Aji, Fusheng Wang, Hoang Vo, Rubao Lee, Qiaoling Liu, Xiaodong Zhang, Joel Saltz: Hadoop-GIS: A High Performance Spatial Data Warehousing System Over MapReduce. In Proceedings of the 39th International Conference on Very Large Databases (VLDB'2013), Trento, Italy, August 26-30, 2013. http://db.disi.unitn.eu/pages/VLDBProgram/pdf/industry/p726-aji.pdf

2. Ablimit Aji, Fusheng Wang and Joel Saltz: Towards Building a High Performance Spatial Query System for Large Scale Medical Imaging Data. In Proceedings of the 20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2012), Redondo Beach, California, USA, November 6-9, 2012. http://confluence.cci.emory.edu:8090/download/attachments/6193390/SIGSpatial2012TechReport.pdf







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