Advanced Analytics with Spark Source Code
Code to accompany Advanced Analytics with Spark, by
Sandy Ryza, Uri Laserson,
Sean Owen, and Josh Wills.
2nd Edition (current)
The source to accompany the 2nd edition is found in this, the default
master branch.
1st Edition
The source to accompany the 1st edition may be found in the
1st-edition branch.
Build
Apache Maven 3.2.5+ and Java 8+ are required to build. From the root level of the project,
run mvn package to compile artifacts into target/ subdirectories beneath each chapter's directory.
Running the Examples
- Install Apache Spark for your platform, following the instructions for the latest release.
- Build the projects according the instructions above.
- Launch the driver program using
spark-submit
# working directory should be your Apache Spark installation root
bin/spark-submit /path/to/code/aas/$CHAPTER/target/$CHAPTER-jar-with-dependencies-$VERSION.jar
- Some examples might require that URI paths to the data be updated to your own HDFS or local filesystem locations.
Data Sets
- Chapter 2: https://archive.ics.uci.edu/ml/machine-learning-databases/00210/
- Chapter 3: https://storage.googleapis.com/aas-data-sets/profiledata_06-May-2005.tar.gz
- Chapter 4: https://archive.ics.uci.edu/ml/machine-learning-databases/covtype/
- Chapter 5: https://kdd.ics.uci.edu/databases/kddcup99/kddcup99.html (do not use http://www.sigkdd.org/kdd-cup-1999-computer-network-intrusion-detection as the copy has a corrupted line)
- Chapter 6: https://dumps.wikimedia.org/enwiki/latest/enwiki-latest-pages-articles-multistream.xml.bz2
- Chapter 7: ftp://ftp.nlm.nih.gov/nlmdata/sample/medline/ (
*.gz) - Chapter 8: https://storage.googleapis.com/aas-data-sets/trip_data_1.csv.zip (from http://www.andresmh.com/nyctaxitrips/)
- Chapter 9: See https://github.com/sryza/aas/tree/master/ch09-risk/data ; included download scripts no longer work
- Chapter 10: ftp://ftp.ncbi.nih.gov/1000genomes/ftp/phase3/data/HG00103/alignment/HG00103.mapped.ILLUMINA.bwa.GBR.low_coverage.20120522.bam
- Chapter 11: https://github.com/thunder-project/thunder/tree/v0.4.1/python/thunder/utils/data/fish/tif-stack
