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Sphinx is a lighting-fast, distributed SQL queries for petabytes of spatial data stored in Apache Hadoop clusters.
Sphinx is based on Cloudera Impala, Sphinx updated the layers of Impala to allow it query spatial data using different Spatial Indexes in an optimized way for more fast querying on spatial data.
Sphinx currently, uses SpatialHadoop for indexing spatial data:
- Only HDFS is supported as a data source.
- Grid indexing and RTree indexing are the only supported indexes for this version of Sphinx.
Please visit Sphinx Homepage for more info on how to setup Sphinx.
For more information, check out the links in the sidebar.
Sphinx is an updated version of Cloudera Impala for Spatial Data. Sphinx can be built the same way as Impala gets built. For more information on how to build Sphinx, check [How to build Impala] (https://github.com/cloudera/Impala/wiki/How-to-build-Impala)
Sphinx: Distributed Execution of Interactive SQL Queries on Big Spatial Data - SIGSPATIAL 2015