Indexing with Spark SQL

[ashishag...@gmail.com]

I am little confused as to what is not supported in geospark sql reagrding clustered indexes

From this link :- https://github.com/strump/GeoSpark

" Please consider using GeoSpark core instead of GeoSparkSQL. Due to the limitation of SparkSQL (for instance, not support clustered index), we are not able to expose all features to SparkSQL. " 

However at this location http://sedona.apache.org/api/sql/GeoSparkSQL-Parameter/ it suggests how can we choose between clustered index such as r-tree and quad-tree

Does the first link means other than "SQL range join and SQL distance join"

Can you please throw some insights on this

[ashishag...@gmail.com]

Can someone please help

[Jia Yu]

In GeoSparkSQL, you won't be able to create spatial index and call spatial partitioning explicitly. Instead, GeoSparkSQL will create one-time index and spatial partitioning on-the-fly when you call a distance join or range join.

In GeoSpark RDD, you will be able to create index and do spatial partitioning whenever you want.

------------------------------------

Jia Yu (new email: jia...@wsu.edu)

Assistant Professor

Washington State University School of EECS

Reach me via: Homepage | GitHub

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