Support Spark 1.3.1

Add version "1.3.1" to the list of supported versions, in tandem with
https://review.openstack.org/#/c/195054/ that adds support in the DIB.
This one-liner is sufficient, from Sahara's point of view Spark 1.0
and 1.3 are the same.
This patch set Updates also the Spark plugin documentation and the
tests.

Change-Id: I8fa482b6d1d6abaa6633aec309a3ba826a8b7ebb
Implements: blueprint support-spark-1-3

doc/source/userdoc/spark_plugin.rst

@@ -14,8 +14,8 @@ has been developed and tested with the images generated by sahara-image-elements
 
 * https://github.com/openstack/sahara-image-elements
 
-Those Ubuntu images already have Cloudera CDH4 HDFS and Apache Spark installed.
-A prepared image can be found at the following location:
+Those Ubuntu images already have Cloudera CDH5 HDFS and Apache Spark installed.
+A prepared image for Spark 1.0 and CDH4 HDFS can be found at the following location:
 
 * http://sahara-files.mirantis.com/sahara-juno-spark-1.0.0-ubuntu-14.04.qcow2
 
@@ -23,7 +23,8 @@ The Spark plugin requires an image to be tagged in Sahara Image Registry with
 two tags: 'spark' and '<Spark version>' (e.g. '1.0.0').
 
 Also you should specify the username of the default cloud-user used in the image. For
-images generated with the DIB it is 'ubuntu'.
+the images available at the URLs listed above and for all the ones generated with the
+DIB it is 'ubuntu'.
 
 Note that the Spark cluster is deployed using the scripts available in the
 Spark distribution, which allow to start all services (master and slaves), stop

etc/scenario/sahara-ci/spark-1.3.1.yaml

@@ -0,0 +1,32 @@
+clusters:
+  - plugin_name: spark
+    plugin_version: 1.3.1
+    image: %spark_image%
+    node_group_templates:
+      - name: master
+        flavor_id: %ci_flavor_id%
+        node_processes:
+          - master
+          - namenode
+        auto_security_group: true
+      - name: worker
+        flavor_id: %ci_flavor_id%
+        node_processes:
+          - datanode
+          - slave
+        auto_security_group: true
+    cluster_template:
+      name: spark131
+      node_group_templates:
+        master: 1
+        worker: 1
+      cluster_configs:
+        HDFS:
+          dfs.replication: 1
+    cluster:
+      name: %cluster_name%
+    scaling:
+      - operation: add
+        node_group: worker
+        size: 1
+    edp_jobs_flow: spark_edp

sahara/plugins/spark/plugin.py

@@ -56,7 +56,7 @@ class SparkProvider(p.ProvisioningPluginBase):
                  "CDH cluster without any management consoles.")
 
     def get_versions(self):
-        return ['1.0.0', '0.9.1']
+        return ['1.3.1', '1.0.0', '0.9.1']
 
     def get_configs(self, hadoop_version):
         return c_helper.get_plugin_configs()

sahara/tests/integration/configs/config.py

@@ -594,7 +594,7 @@ SPARK_CONFIG_OPTS = [
                 help='A list of processes that will be launched '
                      'on worker nodes'),
     cfg.StrOpt('HADOOP_VERSION',
-               default='1.0.0',
+               default='1.3.1',
                help='Version of Spark (even though it says "HADOOP".'),
     cfg.StrOpt('HADOOP_USER',
                default='hdfs',

sahara/tests/unit/plugins/spark/test_plugin.py

@@ -66,6 +66,19 @@ class SparkPluginTest(base.SaharaWithDbTestCase):
             plugin.get_edp_engine(cluster, edp.JOB_TYPE_SPARK),
             engine.SparkJobEngine)
 
+    def test_plugin13_edp_engine(self):
+        cluster_dict = {
+            'name': 'cluster',
+            'plugin_name': 'spark',
+            'hadoop_version': '1.3.1',
+            'default_image_id': 'image'}
+
+        cluster = conductor.cluster_create(context.ctx(), cluster_dict)
+        plugin = pb.PLUGINS.get_plugin(cluster.plugin_name)
+        self.assertIsInstance(
+            plugin.get_edp_engine(cluster, edp.JOB_TYPE_SPARK),
+            engine.SparkJobEngine)
+
     def test_cleanup_configs(self):
         remote = mock.Mock()
         instance = mock.Mock()