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.
Guides and documentation on getting started using Livy, example code snippets, and Livy API documentation can be found at livy.incubator.apache.org.
To build Livy, you will need:
Debian/Ubuntu:
- mvn (from
mavenpackage or maven3 tarball) - openjdk-7-jdk (or Oracle Java7 jdk)
- Python 2.6+
- R 3.x
Redhat/CentOS:
- mvn (from
mavenpackage 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.
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.