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jiayuasu avatar jiayuasu commented on May 22, 2024

Hi @Tsarazin ,

Thanks for pointing this out. Saving the indexed spatial RDD on disk needs a proper R-Tree / Quad-Tree serialization and deserialization method. I am implementing it into JTSplus (not GeoSpark core) but haven't finished yet. Will try to finish it as soon as possible.

Thanks,
Jia

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kanghq avatar kanghq commented on May 22, 2024

That's a fantastic feature if it is possible to convert from JTS element RDD to Spatial RDD as well as R-Tree/Quad-Tree index support.

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netanel246 avatar netanel246 commented on May 22, 2024

I tried to save and load SpatialRDD and I didn't succeed with the load phase:

// Save
geojsonRDD.rawSpatialRDD.saveAsObjectFile("/tmp/genericRDD");

// Load - not compiled because objectFile recived RDD[T] and not SpatialRDD[T]
val genericRDD = sc.objectFile[SpatialRDD[Geometry]]("/tmp/genericRDD")

I have succeeded to save and load a spatial index, but it will be useful if we can also save and load a SpatialRDD, because in our case we need to spatial join two "layers", which one of them is static, and there is no sense in creating this SpatailRDD for each run.

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