[pdal] Memory management with PDAL/Docker

[Matt Beckley]

Is there a way to optimize docker or PDAL to be able to run larger queries
on ept files?  Or Is there some info about memory management, or some
settings I should be using to facilitate larger queries?  I have been
trying to run a test on the JSON pipeline below, and I am only able to get
it to run successfully if I set my docker memory to over 6GB....anything
less than 6GB will fail.  When successfully run, the resulting LAZ file is
only about 150 million points - so, not huge by lidar standards.    I've
tried increasing the "threads" keyword to the ept reader, but that didn't
seem to help.

{
    "pipeline": [{
        "type": "readers.ept",
        "filename": "
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_HI_Oahu_2012_LAS_2015
",
        "bounds": "([-17606581.532235783,
-17598784.955350697],[2441398.6834285296,2448889.512200477])"
    },
    {
        "type" : "writers.las",
        "filename": "HI_LargeOutput_Local.laz"
    }]}

Any ideas would be appreciated.

Thanks!

matt.
---------------------------
Matthew Beckley
Data Engineer
UNAVCO/OpenTopography
beckley at unavco.org
303-381-7487
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