Vector Tile Spark Process

The Vector Tile Spark Process allows developers and data scientists clip geographic data into Hadoop SequeueFiles on Spark platform.

The effect comes from Preview Example.

Features

• Parallel processing based on Apache Spark
• Adapting various data sources
• Output standard Mapbox Vector Tiles format
• A configuration file similar to TileStache.Goodies.VecTiles.Provider

Dependencies

• GeoTools - an open source Java library that provides tools for geospatial data
• mapbox-vector-tile-java - Java Mapbox Vector Tile Library for Encoding/Decoding

Requirements

• Hadoop 2.7 and later
• Spark 2.1.1 and above
• Protocol Buffers 3.0.0-beta-2

Getting Started

Build

$ mvn clean && mvn package

Run

$SPARK_HOME/bin/spark-submit --class org.ieee.codemeow.geometric.spark.VectorTileTask --master yarn --deploy-mode cluster --jars /path/to/postgresql-42.0.0.jar --driver-class-path /path/to/postgresql-42.0.0.jar /path/to/vectortile-spark-process-1.0-SNAPSHOT.jar hdfs:///path/to/vectortile-spark-process.yml

Configuration File

---
# vectortile-spark-process.yml

appName: "Vector Tile Process"
sequenceFileDir: "hdfs:///path/to"
layers:
  - layerName: "layerName"
    minZoom: "0"
    maxZoom: "22"
    dataProvider: "org.ieee.codemeow.geometric.spark.data.SQLDataProvider"
    kwargs:
      url: "jdbc:postgresql://hostname/dbname"
      dbtables:
        planet_osm_line: "public.planet_osm_line"
        planet_osm_point: "public.planet_osm_point"
        planet_osm_polygon: "public.planet_osm_polygon"
        planet_osm_roads: "public.planet_osm_roads"
      user: "postgres"
      password: "postgres"
      zooms:
        0: "SELECT osm_id AS __id__, ST_GeomFromWKB(way) AS __geometry__ FROM ..."
        1: "SELECT osm_id AS __id__, ST_GeomFromWKB(way) AS __geometry__ FROM ..."
        ...
        22: "SELECT osm_id AS __id__, ST_GeomFromWKB(way) AS __geometry__ FROM ..."

Resources

• http://tilestache.org/
• https://github.com/locationtech/geomesa
• http://www.geomesa.org/documentation/current/user/spark/sparksql_functions.html
• https://github.com/mapbox/awesome-vector-tiles
• https://github.com/DataSystemsLab/GeoSpark
• https://github.com/Esri/spatial-framework-for-hadoop
• https://github.com/gbif/maps
• https://github.com/mapbox/mercantile
• https://github.com/modestmaps/modestmaps-processing
• http://www.maptiler.org/google-maps-coordinates-tile-bounds-projection/

Issues

Find a bug or want to request a new feature? Please let us know by submitting an issue.

Tips

1. Upgrade protobuf package version on your Spark cluster

   cp protobuf-java-3.0.0-beta-2.jar $SPARK_HOME/jars

2. Use SparkSQL in the zooms section of the configuration file