FOSDEM 2015: Distributed Tile Processing with GeoTrellis and Spark

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Rob Emanuele

This is a talk I gave at FOSDEM that explained how we use GeoTrellis and Spark to process the NASA NEX Climate Dataset.

Software

DISTRIBUTED
TILE
PROCESSINGWITH
GEOTRELLISANDSPARK
/Rob Emanuele @lossyrob

THE
CHALLENGE
HOWDOWEWORKWITHVERYLARGE
RASTERDATA?

SPECIFICALLY...
HOWDOWEWORKWITHTHE
NASANEXDOWN-SAMPLEDCLIMATE
PROJECTIONS(NEX-DCP30)
OPENDATASET?

GLOBALCIRCULATION
MODELS
Models for predicting world temperature and precipitation.

IPCCASSESSMENTREPORT
IPCC = Intergovernmental Panel on Climate Change
Assessment Report 5 (AR5) published in 2014.
More than 800 authors

3KEYCATEGORIES:
MODEL
33 different models
Model Ensembling
DATASET
Temperature MAX
Temperature MIN
Precipitation
SCENARIO
Historical
Future RCPs

NEXDOWN-SAMPLEDDATA
Monthly data over conterminous US
Historical from 1950 - 2006
4 RCP scenarios from 2006 - 2099
8190 netCDF files on S3 -
15.3 TB in compressed GeoTiff tiles.
RCP 8.5, max for datatype/model combo: 90.92 GB
s3://nasanex/NEX-DCP30

Scala library for doing all things geospatial.
framework for doing distributed raster processing on
Akka and Spark.
Includes local, zonal, focal, and global operations on
rasters.
Currently in incubation at

Fast and general engine for large-scale data processing
Does things Hadoop doesn't, like cache intermediate
results in memory.
Written in Scala!
Also has bindings for Python and Java

ACCUMULO
Big table implementation
Has sorted indexing
Columnar database
Also used by GeoMesa, another Scala project at
LocationTech

is key type, based on tile indexing.
RasterRDD[K]
K
SpatialKey
TemporalKey
SpaceTimeKey

STEP1:
EXPORTTHENETCDFDATAINTO
512X512GEOTIFFTILES.
Python code using GDAL and rasterio.
AWS Auto scaling groups and SQS.
Code: https://github.com/lossyrob/nex-chunker-worker

STEP2:
INGESTTHEDATAINTOACCUMULO
USINGGEOTRELLIS-SPARK.
Ingest the GeoTiffs to Accumulo in parallel across a
cluster.
Ingest consists of
reprojection
mosaicing to tile scheme (TMS)
pyramiding up zoom levels
Calculate index splits.

ANALYSISOF
NEXDATA
Live coding session...

THEGEOTIFF
FILEFORMATWITH
GEOTRELLISANDSCALA
/Johan Stenberg @johanstenbergg

GDAL,GEOSPATIALCLIB,
FAST!
GEOTOOLS,GEOSPATIAL
JAVALIB,SPEED?

WHYYETANOTHERGEOTIFF
READER?
GeoTools large dependency
GDAL Java bindings hard to install
Go-To raster file format at GeoTrellis
GeoTrellis is all about speed, everything optimized and
benchmarked

WHATISTHEGEOTIFFFILE
FORMAT?
Extension to the Tiff File Format
Used for images with Geospatial Metadata
Adds a bounding box and the CRS through tags

GEODATA?
Bounding Box easy to read
Coordinate Reference System horrible to read
Turn it into a proj4 string and use the proj4j lib to read

COMPRESSIONS
Huffman, CCITT3, CCITT4, Packbits
LZW
Zip

BENCHMARKDISCLAIMER
Ran on my development computer
Conducted with Caliper
Microbenchmarks, look at relative speed, not speed
GDAL is read through the Java bindings, into GeoTrellis
rasters
GeoTools is also turned into GeoTrellis rasters

FOSDEM 2015: Distributed Tile Processing with GeoTrellis and Spark

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