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https://github.com/sryza/spark-timeseries

A library for time series analysis on Apache Spark
https://github.com/sryza/spark-timeseries

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A library for time series analysis on Apache Spark

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README 

        
[![Build Status](https://travis-ci.org/sryza/spark-timeseries.svg)](https://travis-ci.org/sryza/spark-timeseries)



Time Series for Spark (The `spark-ts` Package)

=============



A Scala / Java / Python library for interacting with time series data on Apache Spark.



Post questions and comments to the [Google group](https://groups.google.com/forum/#!forum/spark-ts),

or email them directly to .



### Note: The spark-ts library is no longer under active development by me (Sandy).  I unfortunately no longer have bandwidth to develop features, answer all questions on the mailing list, or fix all bugs that are filed.



### That said, I remain happy to review pull requests and do whatever I can to aid others in advancing the library.



Docs are available at http://sryza.github.io/spark-timeseries.



Or check out the [Scaladoc](http://sryza.github.io/spark-timeseries/0.3.0/scaladocs/index.html), [Javadoc](http://sryza.github.io/spark-timeseries/0.3.0/apidocs/index.html), or [Python doc](http://sryza.github.io/spark-timeseries/0.3.0/pydoc/py-modindex.html).



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](http://pandas.pydata.org/pandas-docs/dev/timeseries.html),

  [Matlab](http://www.mathworks.com/help/matlab/time-series.html), and R's

  [zoo](http://cran.r-project.org/web/packages/zoo/index.html) and 

  [xts](http://cran.r-project.org/web/packages/xts/index.html) packages.

* Models, tests, and functions that enable dealing with time series from a statistical perspective,

  similar to what's provided in [StatsModels](http://statsmodels.sourceforge.net/devel/tsa.html)

  and a variety of Matlab and R packages.



The library sits on a few other excellent Java and Scala libraries.



* [Breeze](https://github.com/scalanlp/breeze) for NumPy-like, BLAS-able linear algebra.

* [java.time](https://docs.oracle.com/javase/8/docs/api/index.html?java/time/package-summary.html) for dates and times. 

* [Apache Commons Math](https://commons.apache.org/proper/commons-math/) for general math and

  statistics functionality.

* [Apache Spark](https://spark.apache.org/) for distributed computation with in-memory

  capabilities.



Using this Repo

---------------



### Building



We use [Maven](https://maven.apache.org/) for building Java / Scala. To compile, run tests, and build

jars:



    mvn package



To run Python tests (requires [nose](https://nose.readthedocs.org/en/latest/)):



    cd python

    export SPARK_HOME=

    nosetests



### Running

    

To run a spark-shell with spark-ts and its dependencies on the classpath:



    spark-shell --jars target/sparkts-$VERSION-SNAPSHOT-jar-with-dependencies.jar

    

### Releasing



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=

    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-SNAPSHOT-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