Time Series for Spark (The
A Scala / Java / Python library for interacting with time series data on Apache Spark.
Docs are available at http://sryza.github.io/spark-timeseries.
The aim here is to provide
- A set of abstractions for manipulating large time series data sets, similar to what's provided for smaller data sets in Pandas, Matlab, and R's zoo and xts packages.
- Models, tests, and functions that enable dealing with time series from a statistical perspective, similar to what's provided in StatsModels and a variety of Matlab and R packages.
The library sits on a few other excellent Java and Scala libraries.
- Breeze for NumPy-like, BLAS-able linear algebra.
- java.time for dates and times.
- Apache Commons Math for general math and statistics functionality.
- Apache Spark for distributed computation with in-memory capabilities.
Using this Repo
We use Maven for building Java / Scala. To compile, run tests, and build jars:
To run Python tests (requires nose):
cd python export SPARK_HOME=<location of local Spark installation> nosetests
To run a spark-shell with spark-ts and its dependencies on the classpath:
spark-shell --jars target/sparkts-$VERSION-jar-with-dependencies.jar
To publish docs, easiest is to clone a separate version of this repo in some location we'll refer to as DOCS_REPO. Then:
# Build main doc mvn site -Ddependency.locations.enabled=false # Build scaladoc mvn scala:doc # Build javadoc mvn javadoc:javadoc # Build Python doc cd python export SPARK_HOME=<location of local Spark installation> export PYTHONPATH=$PYTHONPATH::$SPARK_HOME/python:$SPARK_HOME/python/lib/* make html cd .. cp -r target/site/* $DOCS_REPO cp -r python/build/html/ $DOCS_REPO/pydoc cd $DOCS_REPO git checkout gh-pages git add -A git commit -m "Some message that includes the hash of the relevant commit in master" git push origin gh-pages
To build a Python source distribution, first build with Maven, then:
cp target/sparkts-$VERSION-jar-with-dependencies.jar python/sparkts/ cd python python setup.py sdist
To release Java/Scala packages (based on http://oryxproject.github.io/oryx/docs/how-to-release.html):
mvn -Darguments="-DskipTests" -DreleaseVersion=$VERSION \ -DdevelopmentVersion=$VERSION-SNAPSHOT release:prepare mvn -s private-settings.xml -Darguments="-DskipTests" release:perform
To release Python packages (based on http://peterdowns.com/posts/first-time-with-pypi.html):
python setup.py register -r pypi python setup.py sdist upload -r pypi