Daniele Venzano f376b0f480 Use Cloudera element for Spark HDFS ... Update the Spark element to use the existing hadoop-cloudera element for HDFS for Spark versions > 1.0, instead of the ad-hoc cloudera-cdh one. For Spark 1.0.2, CDH4 via the old hadoop-cdh element is used, since a precompiled binary for CDH5 is not available. This change also makes it possible to specify an arbitrary Spark version via the new -s commandline switch, reducing the amount of code for supporting future versions of Spark. The defaults for Spark are 1.3.1 and CDH 5.3, a combination that works well in our deployments. A small change is needed in the cloudera element: when creating a Spark image, only the HDFS packages have to be installed. README files have been updated to clarify that default versions are tested, while other combinations are not. A reference to the SparkPlugin wiki page was added to point to a table of supported versions. Change-Id: Ifc2a0c8729981e1e1df79b556a4c2e6bd1ba893a Implements: blueprint support-spark-1-3 Depends-On: I8fa482b6d1d6abaa6633aec309a3ba826a8b7ebb		2015-07-10 14:12:37 +00:00
..
60-spark	Use Cloudera element for Spark HDFS	2015-07-10 14:12:37 +00:00