Quickstart guide¶
Launching a cluster via Sahara CLI commands¶
This guide will help you setup a vanilla Hadoop cluster using a combination of OpenStack command line tools and the sahara REST API.
1. Install sahara¶
- If you want to hack the code follow Setting Up a Development Environment.
OR
- If you just want to install and use sahara follow Sahara Installation Guide.
2. Identity service configuration¶
To use the OpenStack command line tools you should specify
environment variables with the configuration details for your OpenStack
installation. The following example assumes that the Identity service is
at 127.0.0.1:5000, with a user admin in the admin project
whose password is nova:
$ export OS_AUTH_URL=http://127.0.0.1:5000/v2.0/
$ export OS_PROJECT_NAME=admin
$ export OS_USERNAME=admin
$ export OS_PASSWORD=nova
3. Upload an image to the Image service¶
You will need to upload a virtual machine image to the OpenStack Image
service. You can download pre-built images with vanilla Apache Hadoop
installed, or build the images yourself. This guide uses the latest available
Ubuntu upstream image, referred to as sahara-vanilla-latest-ubuntu.qcow2
and the latest version of vanilla plugin as an example.
Sample images are available here:
- Download a pre-built image
Note: For the steps below, substitute <openstack_release> with the
appropriate OpenStack release and <sahara_image> with the image of your
choice.
$ ssh user@hostname
$ wget http://sahara-files.mirantis.com/images/upstream/<openstack_release>/<sahara_image>.qcow2
Upload the image downloaded above into the OpenStack Image service:
$ openstack image create sahara-vanilla-latest-ubuntu --disk-format qcow2 \
--container-format bare --file sahara-vanilla-latest-ubuntu.qcow2
+------------------+--------------------------------------+
| Field | Value |
+------------------+--------------------------------------+
| checksum | 3da49911332fc46db0c5fb7c197e3a77 |
| container_format | bare |
| created_at | 2016-02-29T10:15:04.000000 |
| deleted | False |
| deleted_at | None |
| disk_format | qcow2 |
| id | 71b9eeac-c904-4170-866a-1f833ea614f3 |
| is_public | False |
| min_disk | 0 |
| min_ram | 0 |
| name | sahara-vanilla-latest-ubuntu |
| owner | 057d23cddb864759bfa61d730d444b1f |
| properties | |
| protected | False |
| size | 1181876224 |
| status | active |
| updated_at | 2016-02-29T10:15:41.000000 |
| virtual_size | None |
+------------------+--------------------------------------+
OR
- Build the image using: diskimage-builder script
Remember the image name or save the image ID. This will be used during the
image registration with sahara. You can get the image ID using the
openstack command line tool as follows:
$ openstack image list --property name=sahara-vanilla-latest-ubuntu
+--------------------------------------+------------------------------+
| ID | Name |
+--------------------------------------+------------------------------+
| 71b9eeac-c904-4170-866a-1f833ea614f3 | sahara-vanilla-latest-ubuntu |
+--------------------------------------+------------------------------+
4. Register the image with the sahara image registry¶
Now you will begin to interact with sahara by registering the virtual machine image in the sahara image registry.
Register the image with the username ubuntu.
Note
The username will vary depending on the source image used, as follows:
Ubuntu: ubuntu
CentOS 7: centos
CentOS 6: cloud-user
Fedora: fedora
Note that the Sahara team recommends using CentOS 7 instead of CentOS 6 as
a base OS wherever possible; it is better supported throughout OpenStack
image maintenance infrastructure and its more modern filesystem is much
more appropriate for large-scale data processing. For more please see
Vanilla Plugin
$ openstack dataprocessing image register sahara-vanilla-latest-ubuntu \
--username ubuntu
Tag the image to inform sahara about the plugin and the version with which it shall be used.
Note
For the steps below and the rest of this guide, substitute
<plugin_version> with the appropriate version of your plugin.
$ openstack dataprocessing image tags add sahara-vanilla-latest-ubuntu \
--tags vanilla <plugin_version>
+-------------+--------------------------------------+
| Field | Value |
+-------------+--------------------------------------+
| Description | None |
| Id | 71b9eeac-c904-4170-866a-1f833ea614f3 |
| Name | sahara-vanilla-latest-ubuntu |
| Status | ACTIVE |
| Tags | <plugin_version>, vanilla |
| Username | ubuntu |
+-------------+--------------------------------------+
5. Create node group templates¶
Node groups are the building blocks of clusters in sahara. Before you can begin provisioning clusters you must define a few node group templates to describe node group configurations.
You can get information about available plugins with the following command:
$ openstack dataprocessing plugin list
Also you can get information about available services for a particular plugin
with the plugin show command. For example:
$ openstack dataprocessing plugin show vanilla --plugin-version <plugin_version>
+---------------------+-----------------------------------------------------------------------------------------------------------------------+
| Field | Value |
+---------------------+-----------------------------------------------------------------------------------------------------------------------+
| Description | The Apache Vanilla plugin provides the ability to launch upstream Vanilla Apache Hadoop cluster without any |
| | management consoles. It can also deploy the Oozie component. |
| Name | vanilla |
| Required image tags | <plugin_version>, vanilla |
| Title | Vanilla Apache Hadoop |
| | |
| Service: | Available processes: |
| | |
| HDFS | datanode, namenode, secondarynamenode |
| Hadoop | |
| Hive | hiveserver |
| JobFlow | oozie |
| Spark | spark history server |
| MapReduce | historyserver |
| YARN | nodemanager, resourcemanager |
+---------------------+-----------------------------------------------------------------------------------------------------------------------+
Note
These commands assume that floating IP addresses are being used. For more details on floating IP please see Floating IP management.
Create a master node group template with the command:
$ openstack dataprocessing node group template create \
--name vanilla-default-master --plugin vanilla \
--plugin-version <plugin_version> --processes namenode resourcemanager \
--flavor 2 --auto-security-group --floating-ip-pool <pool-id>
+---------------------+--------------------------------------+
| Field | Value |
+---------------------+--------------------------------------+
| Auto security group | True |
| Availability zone | None |
| Flavor id | 2 |
| Floating ip pool | dbd8d1aa-6e8e-4a35-a77b-966c901464d5 |
| Id | 0f066e14-9a73-4379-bbb4-9d9347633e31 |
| Is default | False |
| Is protected | False |
| Is proxy gateway | False |
| Is public | False |
| Name | vanilla-default-master |
| Node processes | namenode, resourcemanager |
| Plugin name | vanilla |
| Security groups | None |
| Use autoconfig | False |
| Version | <plugin_version> |
| Volumes per node | 0 |
+---------------------+--------------------------------------+
Create a worker node group template with the command:
$ openstack dataprocessing node group template create \
--name vanilla-default-worker --plugin vanilla \
--plugin-version <plugin_version> --processes datanode nodemanager \
--flavor 2 --auto-security-group --floating-ip-pool <pool-id>
+---------------------+--------------------------------------+
| Field | Value |
+---------------------+--------------------------------------+
| Auto security group | True |
| Availability zone | None |
| Flavor id | 2 |
| Floating ip pool | dbd8d1aa-6e8e-4a35-a77b-966c901464d5 |
| Id | 6546bf44-0590-4539-bfcb-99f8e2c11efc |
| Is default | False |
| Is protected | False |
| Is proxy gateway | False |
| Is public | False |
| Name | vanilla-default-worker |
| Node processes | datanode, nodemanager |
| Plugin name | vanilla |
| Security groups | None |
| Use autoconfig | False |
| Version | <plugin_version> |
| Volumes per node | 0 |
+---------------------+--------------------------------------+
Alternatively you can create node group templates from JSON files:
If your environment does not use floating IPs, omit defining floating IP in the template below.
Sample templates can be found here:
Create a file named my_master_template_create.json with the following
content:
{
"plugin_name": "vanilla",
"hadoop_version": "<plugin_version>",
"node_processes": [
"namenode",
"resourcemanager"
],
"name": "vanilla-default-master",
"floating_ip_pool": "<floating_ip_pool_id>",
"flavor_id": "2",
"auto_security_group": true
}
Create a file named my_worker_template_create.json with the following
content:
{
"plugin_name": "vanilla",
"hadoop_version": "<plugin_version>",
"node_processes": [
"nodemanager",
"datanode"
],
"name": "vanilla-default-worker",
"floating_ip_pool": "<floating_ip_pool_id>",
"flavor_id": "2",
"auto_security_group": true
}
Use the openstack client to upload the node group templates:
$ openstack dataprocessing node group template create \
--json my_master_template_create.json
$ openstack dataprocessing node group template create \
--json my_worker_template_create.json
List the available node group templates to ensure that they have been added properly:
$ openstack dataprocessing node group template list --name vanilla-default
+------------------------+--------------------------------------+-------------+--------------------+
| Name | Id | Plugin name | Version |
+------------------------+--------------------------------------+-------------+--------------------+
| vanilla-default-master | 0f066e14-9a73-4379-bbb4-9d9347633e31 | vanilla | <plugin_version> |
| vanilla-default-worker | 6546bf44-0590-4539-bfcb-99f8e2c11efc | vanilla | <plugin_version> |
+------------------------+--------------------------------------+-------------+--------------------+
Remember the name or save the ID for the master and worker node group templates, as they will be used during cluster template creation.
For example:
- vanilla-default-master:
0f066e14-9a73-4379-bbb4-9d9347633e31 - vanilla-default-worker:
6546bf44-0590-4539-bfcb-99f8e2c11efc
6. Create a cluster template¶
The last step before provisioning the cluster is to create a template that describes the node groups of the cluster.
Create a cluster template with the command:
$ openstack dataprocessing cluster template create \
--name vanilla-default-cluster \
--node-groups vanilla-default-master:1 vanilla-default-worker:3
+----------------+----------------------------------------------------+
| Field | Value |
+----------------+----------------------------------------------------+
| Anti affinity | |
| Description | None |
| Id | 9d871ebd-88a9-40af-ae3e-d8c8f292401c |
| Is default | False |
| Is protected | False |
| Is public | False |
| Name | vanilla-default-cluster |
| Node groups | vanilla-default-master:1, vanilla-default-worker:3 |
| Plugin name | vanilla |
| Use autoconfig | False |
| Version | <plugin_version> |
+----------------+----------------------------------------------------+
Alternatively you can create cluster template from JSON file:
Create a file named my_cluster_template_create.json with the following
content:
{
"plugin_name": "vanilla",
"hadoop_version": "<plugin_version>",
"node_groups": [
{
"name": "worker",
"count": 3,
"node_group_template_id": "6546bf44-0590-4539-bfcb-99f8e2c11efc"
},
{
"name": "master",
"count": 1,
"node_group_template_id": "0f066e14-9a73-4379-bbb4-9d9347633e31"
}
],
"name": "vanilla-default-cluster",
"cluster_configs": {}
}
Upload the cluster template using the openstack command line tool:
$ openstack dataprocessing cluster template create --json my_cluster_template_create.json
Remember the cluster template name or save the cluster template ID for use in the cluster provisioning command. The cluster ID can be found in the output of the creation command or by listing the cluster templates as follows:
$ openstack dataprocessing cluster template list --name vanilla-default
+-------------------------+--------------------------------------+-------------+--------------------+
| Name | Id | Plugin name | Version |
+-------------------------+--------------------------------------+-------------+--------------------+
| vanilla-default-cluster | 9d871ebd-88a9-40af-ae3e-d8c8f292401c | vanilla | <plugin_version> |
+-------------------------+--------------------------------------+-------------+--------------------+
7. Create cluster¶
Now you are ready to provision the cluster. This step requires a few pieces of information that can be found by querying various OpenStack services.
Create a cluster with the command:
$ openstack dataprocessing cluster create --name my-cluster-1 \
--cluster-template vanilla-default-cluster --user-keypair my_stack \
--neutron-network private --image sahara-vanilla-latest-ubuntu
+----------------------------+----------------------------------------------------+
| Field | Value |
+----------------------------+----------------------------------------------------+
| Anti affinity | |
| Cluster template id | 9d871ebd-88a9-40af-ae3e-d8c8f292401c |
| Description | |
| Id | 1f0dc6f7-6600-495f-8f3a-8ac08cdb3afc |
| Image | 71b9eeac-c904-4170-866a-1f833ea614f3 |
| Is protected | False |
| Is public | False |
| Is transient | False |
| Name | my-cluster-1 |
| Neutron management network | fabe9dae-6fbd-47ca-9eb1-1543de325efc |
| Node groups | vanilla-default-master:1, vanilla-default-worker:3 |
| Plugin name | vanilla |
| Status | Validating |
| Use autoconfig | False |
| User keypair id | my_stack |
| Version | <plugin_version> |
+----------------------------+----------------------------------------------------+
Alternatively you can create a cluster template from a JSON file:
Create a file named my_cluster_create.json with the following content:
{
"name": "my-cluster-1",
"plugin_name": "vanilla",
"hadoop_version": "<plugin_version>",
"cluster_template_id" : "9d871ebd-88a9-40af-ae3e-d8c8f292401c",
"user_keypair_id": "my_stack",
"default_image_id": "71b9eeac-c904-4170-866a-1f833ea614f3",
"neutron_management_network": "fabe9dae-6fbd-47ca-9eb1-1543de325efc"
}
The parameter user_keypair_id with the value my_stack is generated by
creating a keypair. You can create your own keypair in the OpenStack
Dashboard, or through the openstack command line client as follows:
$ openstack keypair create my_stack --public-key $PATH_TO_PUBLIC_KEY
If sahara is configured to use neutron for networking, you will also need to
include the --neutron-network argument in the cluster create command
or the neutron_management_network parameter in my_cluster_create.json.
If your environment does not use neutron, you should omit these arguments. You
can determine the neutron network id with the following command:
$ openstack network list
Create and start the cluster:
$ openstack dataprocessing cluster create --json my_cluster_create.json
Verify the cluster status by using the openstack command
line tool as follows:
$ openstack dataprocessing cluster show my-cluster-1 -c Status
+--------+--------+
| Field | Value |
+--------+--------+
| Status | Active |
+--------+--------+
The cluster creation operation may take several minutes to complete. During
this time the “status” returned from the previous command may show states
other than Active. A cluster also can be created with the wait flag.
In that case the cluster creation command will not be finished until the
cluster is moved to the Active state.
8. Run a MapReduce job to check Hadoop installation¶
Check that your Hadoop installation is working properly by running an example job on the cluster manually.
- Login to the NameNode (usually the master node) via ssh with the ssh-key used above:
$ ssh -i my_stack.pem ubuntu@<namenode_ip>
- Switch to the hadoop user:
$ sudo su hadoop
- Go to the shared hadoop directory and run the simplest MapReduce example:
$ cd /opt/hadoop-<plugin_version>/share/hadoop/mapreduce
$ /opt/hadoop-<plugin_version>/bin/hadoop jar hadoop-mapreduce-examples-<plugin_version>.jar pi 10 100
Congratulations! Your Hadoop cluster is ready to use, running on your OpenStack cloud.
Elastic Data Processing (EDP)¶
Job Binaries are the entities you define/upload the source code (mains and libraries) for your job. First you need to download your binary file or script to swift container and register your file in Sahara with the command:
(openstack) dataprocessing job binary create --url "swift://integration.sahara/hive.sql" \
--username username --password password --description "My first job binary" hive-binary
Data Sources¶
Data Sources are entities where the input and output from your jobs are housed. You can create data sources which are related to Swift, Manila or HDFS. You need to set the type of data source (swift, hdfs, manila, maprfs), name and url. The next two commands will create input and output data sources in swift.
$ openstack dataprocessing data source create --type swift --username admin --password admin \
--url "swift://integration.sahara/input.txt" input
$ openstack dataprocessing data source create --type swift --username admin --password admin \
--url "swift://integration.sahara/output.txt" input
If you want to create data sources in hdfs, use valid hdfs urls:
$ openstack dataprocessing data source create --type hdfs --url "hdfs://tmp/input.txt" input
$ openstack dataprocessing data source create --type hdfs --url "hdfs://tmp/output.txt" output
Job Templates (Jobs in API)¶
In this step you need to create a job template. You have to set the type of the job template using the type parameter. Choose the main library using the job binary which was created in the previous step and set a name for the job template.
Example of the command:
$ openstack dataprocessing job template create --type Hive \
--name hive-job-template --main hive-binary
Jobs (Job Executions in API)¶
This is the last step in our guide. In this step you need to launch your job. You need to pass the following arguments:
- The name or ID of input/output data sources for the job
- The name or ID of the job template
- The name or ID of the cluster on which to run the job
For instance:
$ openstack dataprocessing job execute --input input --output output \
--job-template hive-job-template --cluster my-first-cluster
You can check status of your job with the command:
$ openstack dataprocessing job show <id_of_your_job>
Once the job is marked as successful you can check the output data source. It will contain the output data of this job. Congratulations!