openstack/deb-sahara
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deb-sahara/sahara/tests/integration
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lei-zhang-99cloud 1227a53cfe Add port type on port option 
According to [1]
oslo.config can use portType to support the ability to set valid range
on port option values.
[1]: http://docs.openstack.org/developer/oslo.config/cfg.html

Change-Id: Ic06b982a9127cf47b10de787a78665cbb3b2399e
2015-08-31 16:32:38 +08:00
..
configs Add port type on port option 2015-08-31 16:32:38 +08:00
tests Remove resetting self.flavor_id in CDH test 2015-05-14 14:09:30 +08:00
__init__.py Move the savanna subdir to sahara 2014-03-18 16:38:36 +04:00
README.rst Default version update for vanilla integration test 2015-03-17 17:32:41 +08:00

README.rst

Integration tests for Sahara project

How to run

Create the config file for integration tests /sahara/tests/integration/configs/itest.conf. You can take a look at sample config file /sahara/tests/integration/configs/itest.conf.sample or /sahara/tests/integration/configs/itest.conf.sample-full. All values used in the /sahara/tests/integration/configs/config.py file are defaults, so, if they are applicable for your environment then you can skip config file creation.

To run all integration tests you should use the corresponding tox env:

$ tox -e integration

In this case all tests will be launched except disabled tests. Tests can be disabled in the /sahara/tests/integration/configs/config.py file or in the /sahara/tests/integration/configs/itest.conf.

If you want to run integration tests for one plugin, you should use the corresponding tox env:

$ tox -e integration -- <tag>

<tag> may have the following values: transient, vanilla1, vanilla2, hdp.

For example, you want to run tests for the Vanilla plugin with the Hadoop version 1.2.1. In this case you should use the following tox env:

$ tox -e integration -- vanilla1

If you want to run integration tests for a few plugins or their versions, you should use the corresponding tox env:

$ tox -e integration -- <tag1> <tag2> ...

For example, you want to run tests for the Vanilla plugin with the Hadoop version 2.6.0 and for the HDP plugin with the Hortonworks Data Platform version 1.3.2. In this case you should use the following tox env:

$ tox -e integration -- vanilla2 hdp

Here are a few more examples.

tox -e integration -- transient will run test for transient cluster. In this case cluster will be created via the Vanilla plugin with the Hadoop version 1.2.1. More info about transient cluster see in section Contents.

tox -e integration -- hdp will run tests for the HDP plugin.

tox -e integration -- transient vanilla2 hdp will run test for transient cluster, tests for the Vanilla plugin with the Hadoop version 2.6.0 and tests for the HDP plugin with the Hortonworks Data Platform version 1.3.2.

Contents

The general checks performed by the integration tests are described below, and for each plugin the applicable checks are listed.

1. Proper cluster creation. This test creates node group templates, a cluster template and a cluster. All other test checks are executed on the created cluster.

2. Cinder support. When the cluster is built, Cinder volumes are attached to some cluster nodes (two 2 GB volumes per node). When cluster state is "Active", SSH connection is established to nodes which have volumes. On each node the bash command mount | grep <volume_mount_prefix> | wc -l is executed and actual result is compared to the expected result.

3. Cluster configs. When the cluster is created, the bash script sahara/tests/integration/tests/resources/cluster_config_test_script.sh is copied to all cluster nodes. On all nodes script checks that cluster configs was properly applied.

4. Map Reduce. When the cluster is created, the bash script sahara/tests/integration/tests/resources/map_reduce_test_script.sh is copied to all cluster nodes. On the master node this script runs Map Reduce jobs "PI estimator" and "Word count". The input file for the job "Word count" is generated with the bash command dmesg. On other nodes this script searches the Hadoop logs of completed jobs.

5. Swift availability. When the cluster is created, the bash script sahara/tests/integration/tests/resources/map_reduce_test_script.sh is copied to the master node. The script generates a 1 mb file (we'll call it "file1") with bash command dd if=/dev/urandom of=/tmp/test-file bs=1048576 count=1. The file is copied from local storage to HDFS storage, then it is uploaded from HDFS storage to Swift (the command distcp). Then the file is downloaded back to HDFS storage from Swift. The file is copied from HDFS storage to local storage (we'll call it "file2"). The script checks that md5 sums of file1 and file2 are equal.

6. Elastic Data Processing (EDP). This test launches 4 types of EDP jobs on the cluster. There are 4 types of EDP jobs: "Pig", "MapReduce", "MapReduce.Streaming" and "Java".

7. Cluster scaling. This test adds 2 new node groups to the cluster (each node group has 1 node), reduces count of nodes in 2 node groups from 1 node to 0 nodes (deletes 2 node groups) and increases count of nodes in 1 node group from 3 nodes to 4 nodes. All steps are executed in the same API request.

8. Transient cluster. In this test the cluster is created as a transient cluster. No jobs are launched on the cluster. So the test checks that cluster will be automatically deleted by Sahara after a while.

The Vanilla plugin with the Hadoop version 1.2.1 has the following checks:

  1. Proper cluster creation.
  2. Cinder support.
  3. Cluster configs.
  4. Map Reduce.
  5. Elastic Data Processing (EDP).
  6. Swift availability.
  7. Cluster scaling.
  8. Transient cluster.

The Vanilla plugin with the Hadoop version 2.6.0 has the following checks:

  1. Proper cluster creation.
  2. Cinder support.
  3. Map Reduce.
  4. Elastic Data Processing (EDP).
  5. Swift availability.
  6. Cluster scaling.

The HDP plugin has the following checks:

  1. Proper cluster creation.
  2. Cinder support.
  3. Map Reduce.
  4. Elastic Data Processing (EDP).
  5. Swift availability.
  6. Cluster scaling.

The CDH plugin has the following checks:

  1. Proper cluster creation.
  2. Cinder support.
  3. Map Reduce.
  4. Elastic Data Processing (EDP).
  5. Swift availability.
  6. Cluster scaling.