Use Apache Hadoop to generate map tiles.

The author of this project is not responsible for your AWS usage. Don't come crying to me about your 1000$ AWS bill when you generate tiles for the whole country at 14 zoom levels. Consider this your notification and my indemnification.

Before you can use Tilebrute, you'll need to install some dependencies. Tilebrute uses GDAL, Shapely, and Mapnik, so you'll need those libraries and their dependencies. Many of them are available on a Mac via Homebrew. For Ubuntu, the UbuntuGIS PPA may take you a long way. On other platforms, the simplest path may be installing them from source.

You'll need:

• a modern Python
• GDAL
• Mapnik

Once you have these libraries installed, Pip should handle the python side.

The whole dependency resolution process is automated via bootstrap actions for EMR. Those files define the canonical dependency and version details. Check out build_python.sh and restore_python.sh.

With the prerequisites in place, the easiest way to install Tilebrute is via pip's git+https interface.

$ pip install git+https://github.com/ndimiduk/tilebrute.git

This is still a young project, so you're installing from master. At some point it may become fancy enough for proper, tagged releases.

The main entry point to Tilebrute is through the tilebrute launch script that pip will install into your python bin path. It can be used to run against a local Hadoop cluster or to launch Elastic MapReduce clusters. It's an extremely basic MrJob launch script, so that documentation is more relevant than anything written here.

Invocation of the script for an EMR job might look something like this:

$ MRJOB_CONF=mrjob.conf AWS_ACCESS_KEY_ID=... AWS_SECRET_ACCESS_KEY=... \
  tilebrute --ec2-key-pair ... --ec2-key-pair-file ... \
  -r emr \
  --no-output --output-dir s3://bucket/output/tiles \
  s3://bucket/data/TIGER2010BLKPOPHU.csv/tabblock2010_53_pophu.csv

The key parameters here are:

• where to find the mrjob.conf file (MRJOB_CONF=)
• AWS credentials (AWS_ACCESS_KEY_ID=, AWS_SECRET_ACCESS_KEY=)
• launch a job on EMR (-r emr), as opposed to a local cluster (-r hadoop)
• store output on S3 (--no-output --output-dir s3://bucket/output/tiles)
• specify the input (tabblock2010_53_pophu.csv)

Tilebrute expects input data to be in CSV format and the epsg:4326 projection. The prepare_input.sh script will mostly take care of this for you. It's just a simple wrapper around ogr2ogr with some defaults setup. Pass is --help for basic usage information, or read the ogr2ogr documentation. Something like this should suffice:

$ 00_prepare_input.sh /vsizip/tabblock2010_53_pophu.zip | gzip -c > WA-epsg4326.csv.gz

To get a feel for how Tilebrute works under the hood, the simulated_hadoop.sh script will connect the components using UNIX pipes. It'll also sample the input data source to make it easier to play. To override sampling, set the INPUT_LINE_LIMIT environment variable. Assuming you've created the WA-epsg4326.csv.gz input file, this command will render tiles for the whole state using UNIX pipes.

$ INPUT_LINE_LIMIT=200000 ./bin/10_simulated_hadoop.sh 

real    302m54.667s
user    306m6.092s
sys     7m29.423s
  929859

That last line is the number of tiles rendered. The amount of time taken will very based on how much data you give it and how many zoom levels you choose to render.

All configuration is controlled by MrJob and resides in mrjob.conf. The examples are wired up, making assumptions about S3 paths and cluster details. Each one is commented to some degree or another. They should work as starting points for your own uses. Be careful when uncommenting the configurations, especially the ones at the bottom of the file; they'll use as many resources as your default AWS account can provision. That's your responsibility, not mine.

Tilebrute is © 2013 Nick Dimiduk. Distributed under the X11/MIT License, same as GDAL. It is intended to give you permission to do whatever you want with the Tilebrute source code: download, modify, redistribute as you please, including building proprietary commercial software, no permission from Mr. Dimiduk or anyone else is required.

Apache Hadoop is distributed under the Apache License Version 2.0. The spirit of that license is similar.