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apache / incubator-livy / cd777e209ae26d9f66814fed6565b029da3b2479
commitcd777e209ae26d9f66814fed6565b029da3b2479[log] [tgz]
authorjerryshao <sshao@hortonworks.com>Mon Nov 27 16:25:52 2017 +0800
committerjerryshao <sshao@hortonworks.com>Mon Nov 27 16:25:52 2017 +0800
treefdebf0100a8df2d6785b785d46249c6952b1ef77
parentf893d19918beb41bd82169f1c3da88a1fb9e934d [diff]
[LIVY-399][TEST] Enable real test for PySpark and SparkR interpreters

Currently because we lack pyspark and sparkr dependencies in our environment, so we neglect the pyspark and sparkr integration tests, here propose a way to enable these integration tests. The solution is mainly borrowed from Zeppelin - to download Spark binary before integration tests, so that we will have a complete Spark environment to do the test. Because of this several modules like minicluster-dependencies are not required, so here removed such modules.

Besides, we proposed to remove real test implementations, since we never used real test before and it mainly did what scripts should do with Scala code, which makes it hard to maintain. Also for now mini-cluster test is quite close to real test, so it is not so useful to still keep real test.

Author: jerryshao <sshao@hortonworks.com>

Closes #49 from jerryshao/LIVY-399.
17 files changed
tree: fdebf0100a8df2d6785b785d46249c6952b1ef77
  1. .github/
  2. api/
  3. assembly/
  4. bin/
  5. client-common/
  6. client-http/
  7. conf/
  8. core/
  9. coverage/
  10. dev/
  11. docs/
  12. examples/
  13. integration-test/
  14. python-api/
  15. repl/
  16. rsc/
  17. scala/
  18. scala-api/
  19. server/
  20. test-lib/
  21. .gitignore
  22. .rat-excludes
  23. .travis.yml
  24. checkstyle-suppressions.xml
  25. checkstyle.xml
  26. DISCLAIMER
  27. LICENSE
  28. NOTICE
  29. pom.xml
  30. README.md
  31. scalastyle.xml
README.md

Apache Livy

Build Status

Apache Livy is an open source REST interface for interacting with Apache Spark from anywhere. It supports executing snippets of code or programs in a Spark context that runs locally or in Apache Hadoop YARN.

  • Interactive Scala, Python and R shells
  • Batch submissions in Scala, Java, Python
  • Multiple users can share the same server (impersonation support)
  • Can be used for submitting jobs from anywhere with REST
  • Does not require any code change to your programs

Pull requests are welcomed! But before you begin, please check out the Contributing section on the Community page of our website.

Online Documentation

Guides and documentation on getting started using Livy, example code snippets, and Livy API documentation can be found at livy.incubator.apache.org.

Before Building Livy

To build Livy, you will need:

Debian/Ubuntu:

  • mvn (from maven package or maven3 tarball)
  • openjdk-7-jdk (or Oracle Java7 jdk)
  • Python 2.6+
  • R 3.x

Redhat/CentOS:

  • mvn (from maven package or maven3 tarball)
  • java-1.7.0-openjdk (or Oracle Java7 jdk)
  • Python 2.6+
  • R 3.x

MacOS:

  • Xcode command line tools
  • Oracle's JDK 1.7+
  • Maven (Homebrew)
  • Python 2.6+
  • R 3.x

Required python packages for building Livy:

  • cloudpickle
  • requests
  • requests-kerberos
  • flake8
  • flaky
  • pytest

To run Livy, you will also need a Spark installation. You can get Spark releases at https://spark.apache.org/downloads.html.

Livy requires at least Spark 1.6 and supports both Scala 2.10 and 2.11 builds of Spark, Livy will automatically pick repl dependencies through detecting the Scala version of Spark.

Livy also supports Spark 2.0+ for both interactive and batch submission, you could seamlessly switch to different versions of Spark through SPARK_HOME configuration, without needing to rebuild Livy.

Building Livy

Livy is built using Apache Maven. To check out and build Livy, run:

git clone https://github.com/apache/incubator-livy.git
cd livy
mvn package

By default Livy is built against Apache Spark 1.6.2, but the version of Spark used when running Livy does not need to match the version used to build Livy. Livy internally uses reflection to mitigate the gaps between different Spark versions, also Livy package itself does not contain a Spark distribution, so it will work with any supported version of Spark (Spark 1.6+) without needing to rebuild against specific version of Spark.