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Source: spark-core
Section: misc
Priority: extra
Maintainer: Cloudera Inc. <https://issues.cloudera.org>
Build-Depends: debhelper (>= 6), curl, pigz
Standards-Version: 3.8.0
Homepage: http://spark.incubator.apache.org/

Package: spark-core
Architecture: all
Depends: bigtop-utils (>= 0.7), hadoop-client, parquet, flume-ng, hive
Description: Lightning-Fast Cluster Computing
 Spark is a MapReduce-like cluster computing framework designed to support
 low-latency iterative jobs and interactive use from an interpreter. It is
 written in Scala, a high-level language for the JVM, and exposes a clean 
 language-integrated syntax that makes it easy to write parallel jobs. 
 Spark runs on top of the Apache Mesos cluster manager.

Package: spark-python
Architecture: all
Depends: spark-core (= ${source:Version}), python
Description: Python client for Spark
 Includes PySpark, an interactive Python shell for Spark, and related libraries

Package: spark-history-server
Architecture: all
Depends: spark-core (= ${source:Version})
Description: History server for Spark
 History server for Spark
