HadoopGIS 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. HadoopGIS takes advantage of global partition indexing and customizable on demand local spatial indexing to achieve efficient query processing. HadoopGIS is integrated into Hive to support declarative spatial queries with an integrated architecture.

HadoopGIS comes with two versions:

• Hadoop-GIS library: a set of libraries on performing MapReduce based spatial queries, which can be called from users' applications.
• HiveSP: we integrate Hadoop-GIS with Hive, to support both structured queries and spatial queries with a unified query language and interface.

HiveSP defines a simple SQL-like query language, that enables users familiar with SQL to query large spatial data.

For the latest information about HadoopGIS, please visit out website at:

http://confluence.cci.emory.edu:8090/display/HadoopGIS/Home

• Java 1.6

• Hadoop 0.20.x (x >= 1)

• GEOS 3.x (x >= 3)

• libspatialindex 1.8.x (x >= 0)

1. Fork it.
2. Create a branch (git checkout -b my_hivesp)
3. Commit your changes (git commit -am "Added ST_KNN")
4. Push to the branch (git push origin my_hivesp)
5. Open a Pull Request
6. Enjoy a refreshing Turkish tea and wait

All Hadopo-GIS software is freely available, and all source code is available under GNU public copyleft licenses.