*** DRAFT - Being Edited ***

Services managed by Ambari are defined in its stacks folder.

To define your own services and stacks to be managed by Ambari, follow the steps below.
There is also an example you can follow on how to create your custom stack and service.

A stack is a collection of services. Multiple versions of a stack can be defined, each with its own set of services. Stacks in Ambari are defined in  ambari-server/src/main/resources/stacks folder, which can be found at /var/lib/ambari-server/resources/stacks folder after install.

Services managed by a stack can be defined either in  ambari-server/src/main/resources/common-services or ambari-server/src/main/resources/stacks folders. These folders after install can be found at /var/lib/ambari-server/resources/common-services or /var/lib/ambari-server/resources/stacks folders respectively.

 Question: When do I define service in common-services vs. stacks folders?

One would define services in the common-services folder if there is possibility of the service being used in multiple stacks. For example, almost all stacks would need the HDFS service - so instead of redefining HDFS in each stack, the one defined in common-services is referenced. Likewise, if a service is never going to be shared, it can be defined in the stacks folder. Basically services defined in stacks folder are by used containment, whereas the ones defined in common-services are used by reference. 

Define Service

Shown below is how to define a service in common-services folder. The same approach can be taken when defining services in the stacks folder, which will be discussed in the Define Stack section.

Services MUST provide the main metainfo.xml file which provides important metadata about the service. 
Apart from that, other files can be provided to give more information about the service. More details about these files are provided below.

metainfo.xml

In the metainfo.xml service descriptor, one can first define the service and its components.

Complete reference can be found in the Writing metainfo.xml page.
A good reference implementation is the HDFS metainfo.xml.

Question: Is it possible to define multiple services in the same metainfo.xml?

Yes. Though it is possible, it is discouraged to define multiple services in the same service folder.

YARN and MapReduce2 are services that are defined together in the YARN folder.  Its metainfo.xml defines both services.

Scripts

With the components defined, we need to provide scripts which can handle the various stages of the service and component's lifecycle.

The scripts necessary to manage service and components are specified in the metainfo.xml (HDFS)
Each of these scripts should extend the Script class which provides useful methods. Example: NameNode script
 

These scripts should be provided in the <service-id>/<service-version>/package/scripts folder.

Python

Ambari by default supports Python scripts for management of service and components.

Component scripts should extend resource_management.Script class and provide methods required for that component's lifecycle. 
Taken from the page on how to create custom stack, the following methods are needed for MASTER, SLAVE and CLIENT components to go through their lifecycle.

import sys
from resource_management import Script
class Master(Script):
  def install(self, env):
    print 'Install the Sample Srv Master';
  def stop(self, env):
    print 'Stop the Sample Srv Master';
  def start(self, env):
    print 'Start the Sample Srv Master';
  def status(self, env):
    print 'Status of the Sample Srv Master';
  def configure(self, env):
    print 'Configure the Sample Srv Master';
if __name__ == "__main__":
  Master().execute()

import sys
from resource_management import Script
class Slave(Script):
  def install(self, env):
    print 'Install the Sample Srv Slave';
  def stop(self, env):
    print 'Stop the Sample Srv Slave';
  def start(self, env):
    print 'Start the Sample Srv Slave';
  def status(self, env):
    print 'Status of the Sample Srv Slave';
  def configure(self, env):
    print 'Configure the Sample Srv Slave';
if __name__ == "__main__":
  Slave().execute()

import sys
from resource_management import Script
class SampleClient(Script):
  def install(self, env):
    print 'Install the Sample Srv Client';
  def configure(self, env):
    print 'Configure the Sample Srv Client';
if __name__ == "__main__":
  SampleClient().execute()

Ambari provides helpful Python libraries below which are useful in writing service scripts. For complete reference on these libraries visit the Ambari Python Libraries page.

• resource_management
• ambari_commons
• ambari_simplejson 

OS Variant Scripts

If the service is supported on multiple OSes which requires separate scripts, the base resource_management.Script class can be extended with different @OsFamilyImpl() annotations. 
This allows for the separation of only OS specific methods of the component.
Example: NameNode default script,  NameNode Windows script.

Examples

NameNode Start, Stop.

DataNode Start and Stop.

HDFS configurations persistence

Custom Actions

Sometimes services need to perform actions unique to that service which go beyond the default actions provided by Ambari (like install, start, stop, configure, etc.).
Services can define such actions and expose them to the user in UI so that they can be easily invoked.

As an example, we show the Rebalance HDFS custom action implemented by HDFS.

Stack Changes

1. Define custom command inside the customCommands section of the component in metainfo.xml.
2. Implement method with same name as custom command in script referenced from metainfo.xml.
   1. If custom command does not have OS variants, it can be implemented in the same class that extends resource_management.Script
   2. If there are OS variants, different methods can be implemented in each class annotated by @OsFamilyImpl(os_family=...). Default rebalancehdfs, Windows rebalancehdfs.

This will provide ability by the backend to run the script on all managed hosts where the service is installed.

UI Changes

No UI changes are necessary to see the custom action on the host page.
The action should show up in the host-component's list of actions. Any master-component actions will automatically show up on the service's action menu.

When the action is clicked in UI, the POST call is made automatically to trigger the script defined above.

Question: How do I provide my own label and icon for the custom action in UI?

In Ambari UI, add your component action to the App.HostComponentActionMap object with custom icon and name. Ex: REBALANCEHDFS.

Configuration

Configuration files for a service should be placed by default in the configuration folder.
If a different named folder has to be used, the <configuration-dir> element can be used in metainfo.xml to point to that folder.

The important sections of the metainfo.xml with regards to configurations are:

<?xml version="1.0"?>
<metainfo>
  <schemaVersion>2.0</schemaVersion>
  <services>
    <service>
      <name>HDFS</name>
      <displayName>HDFS</displayName>
      <comment>Apache Hadoop Distributed File System</comment>
      <version>2.1.0.2.0</version>
      <components>
        ...
        <component>
          <name>HDFS_CLIENT</name>
	      ...
          <configFiles>
            <configFile>
              <type>xml</type>
              <fileName>hdfs-site.xml</fileName>
              <dictionaryName>hdfs-site</dictionaryName>
            </configFile>
            <configFile>
              <type>xml</type>
              <fileName>core-site.xml</fileName>
              <dictionaryName>core-site</dictionaryName>
            </configFile>
            <configFile>
              <type>env</type>
              <fileName>log4j.properties</fileName>
              <dictionaryName>hdfs-log4j,yarn-log4j</dictionaryName>
            </configFile>                          
            <configFile>
              <type>env</type>
              <fileName>hadoop-env.sh</fileName>
              <dictionaryName>hadoop-env</dictionaryName>
            </configFile>
          </configFiles>
          ...
          <configuration-dependencies>
             <config-type>core-site</config-type>
             <config-type>hdfs-site</config-type>
          </configuration-dependencies>
        </component>
	      ...
      </components>
 
      <configuration-dir>configuration</configuration-dir>
      <configuration-dependencies>
        <config-type>core-site</config-type>
        <config-type>hdfs-site</config-type>
        <config-type>hadoop-env</config-type>
        <config-type>hadoop-policy</config-type>
        <config-type>hdfs-log4j</config-type>
        <config-type>ranger-hdfs-plugin-properties</config-type>
        <config-type>ssl-client</config-type>
        <config-type>ssl-server</config-type>
        <config-type>ranger-hdfs-audit</config-type>
        <config-type>ranger-hdfs-policymgr-ssl</config-type>
        <config-type>ranger-hdfs-security</config-type>
        <config-type>ams-ssl-client</config-type>
      </configuration-dependencies>
    </service>
  </services>
</metainfo>

• config-type - String representing a group of configurations. Example: core-site, hdfs-site, yarn-site, etc. When configurations are saved in Ambari, they are persisted within a version of config-type which is immutable. If you change and save HDFS core-site configs 4 times, you will have 4 versions of config-type core-site. Also, when a service's configs are saved, only the changed config-types are updated.
• configFiles - lists the config-files handled by the enclosing component
• configFile - represents one config-file of a certain type
  
  • type - type of file based on which contents are generated differently
    
    • xml - XML file generated in Hadoop friendly format. Ex: hdfs-site.xml
    • env - Generally used for scripts where the content value is used as a template. The template has config-tags whose values are populated at runtime during file generation. Ex: hadoop-env.sh
    • properties - Generates property files where entries are in key=value format. Ex: falcon-runtime.properties
  • dictionaryName - Name of the config-type as which key/values of this config file will be stored
• configuration-dependencies - Lists the config-types on which this component or service depends on. One of the implications of this dependency is that whenever the config-type is updated, Ambari automatically marks the component or service as requiring restart. From the code section above, whenever core-site is updated, both HDFS service as well as HDFS_CLIENT component will be marked as requiring restart.
• configuration-dir - Directory where files listed in configFiles will be. Optional. Default value is configuration.

UI - Categories

Configurations defined above show up in the service's Configs page.

To customize categories and ordering of configurations in UI, the following files have to be updated.
Create Category -  Update the ambari-web/app/models/stack_service.js file to add your own service, along with your new categories.
Use Category - To place configs inside  a defined category, and specify an order in which configs are placed, add configs to ambari-web/app/data/HDP2/site_properties.js file. In this file one can specify the category to use, and the index where a config should be placed. The stack folders in ambari-web/app/data are hierarchical and inherit from previous versions.

UI - Enhanced Configs

The Enhanced Configs feature makes it possible for service providers to customize their service's configs to a great deal and determine which configs are prominently shown to user without making any UI code changes. Customization includes providing a service friendly layout, better controls (sliders, combos, lists, toggles, spinners, etc.), better validation (minimum, maximum, enums), automatic unit conversion (MB, GB, seconds, milliseconds, etc.), configuration dependencies and improved dynamic recommendations of default values.

 A service provider can accomplish all the above just by changing their service definition in the stacks/ folder.

Read more in the Enhanced Configs  page

Alerts

Each service is capable of defining which alerts Ambari should track by providing an alerts.json file.

Read more about Ambari Alerts framework here.

Kerberos

Ambari is capable of enabling and disabling Kerberos for a cluster. To inform Ambari of the identities and configurations to be used for the service and its components, each service can provide a kerberos.json file.

Read more about the Kerberos support and the Kerberos Descriptor in the Automated Kerberization page.

Metrics

Ambari provides the Ambari Metrics System ("AMS") service for collecting, aggregating and serving Hadoop and system metrics in Ambari-managed clusters.

Each service can define which metrics AMS should collect and provide by defining a metrics.json file.
You can read about the metrics.json file format in the Stack Defined Metrics page. 

Widgets

Each service can define which widgets and heatmaps show up by default on the service summary page by defining a widgets.json file.

You can read more about the widgets descriptor in the Enhanced Service Dashboard page.

Define Stack

A stack is a versioned collection of services. Each stack is a folder is defined in ambari-server/src/main/resources/stacks source. Once installed, these stack definitions are available on the ambari-server machine at /var/lib/ambari-server/resources/stacks.

Each stack folder contains one sub-folder per version of the stack. Some of these stack-versions are active while some are not. Each stack-version includes services which are either referenced from common-services, or defined inside the stack-version's services folder. 

Example: HDP stack. HDP-2.4 stack version.

Stack-Version Descriptor

Each stack-version should provide a metainfo.xml (Example: HDP-2.3, HDP-2.4) descriptor file which describes the following about this stack-version:

<metainfo>
    <versions>
	  <active>true</active>
    </versions>
    <extends>2.3</extends>
    <minJdk>1.7</minJdk>
    <maxJdk>1.8</maxJdk>
</metainfo>

• versions/active - Whether this stack-version is still available for install. If not available, this version will not show up in UI during install.
• extends - The stack-version in this stack that is being extended. Extended stack-versions inherit services along with almost all aspects of the parent stack-version.
• minJdk - Minimum JDK with which this stack-version is supported. Users are warned during installer wizard if the JDK used by Ambari is lower than this version.
• maxJdk - Maximum JDK with which this stack-version is supported. Users are warned during installer wizard if the JDK used by Ambari is greater than this version.

Services

Each stack-version includes services which are either referenced from common-services, or defined inside the stack-version's services folder. 
Services are defined in common-services if they will be shared across multiple stacks. If they will never be shared, then they can be defined inside the stack-version.

Reference common-services

To reference a service from common-services, the service descriptor file should use the <extends> element. (Example: HDFS in HDP-2.0.6)

<metainfo>
  <schemaVersion>2.0</schemaVersion>
  <services>
    <service>
      <name>HDFS</name>
      <extends>common-services/HDFS/2.1.0.2.0</extends>
    </service>
  </services>
</metainfo>

 Define Service

In exactly the same format as services defined in common-services, a new service can be defined inside the services folder.

Examples: 

• HDFS in BIGTOP-0.8
• GlusterFS in HDP-2.3.GlusterFS

Extend Service

When a stack-version extends another stack-version, it inherits all details of the parent service. It is also free to override and remove any portion of the inherited service definition.

Examples:

• HDP-2.3 / HDFS - Adding NFS_GATEWAY component, updating service version and OS specific packages
• HDP-2.2 / Storm - Deleting STORM_REST_API component, updating service version and OS specific packages
• HDP-2.3 / YARN - Deleting YARN node-label configuration from capacity-scheduler.xml
• HDP-2.3 / Kafka - Add Kafka Broker Process alert

Role Command Order

Role is another name for Component (Ex: NAMENODE, DATANODE, RESOURCEMANAGER, HBASE_MASTER, etc.)

As the name implies, it is possible to tell Ambari about the order in which commands should be run for the components defined in your stack.
For example: "ZooKeeper Server should be started before starting NameNode". Or "HBase Master should be started only after NameNode and DataNodes are started".

This can be specified by including the role_command_order.json file in the stack-version folder.

Format

Specified in JSON format, the file contains a JSON object with top-level keys being either section names or comments Ex: HDP-2.0.6.
Inside each section object, the key describes the dependent component-action, and the value lists the component-actions which should be done before it.

{
  "_comment": "Section 1 comment",
  "section_name_1": {
    "_comment": "Section containing role command orders",
    "<DEPENDENT_COMPONENT_1>-<COMMAND>": ["<DEPENDS_ON_COMPONENT_1>-<COMMAND>", "<DEPENDS_ON_COMPONENT_1>-<COMMAND>"],
    "<DEPENDENT_COMPONENT_2>-<COMMAND>": ["<DEPENDS_ON_COMPONENT_3>-<COMMAND>"],
    ...
  },
  "_comment": "Next section comment",
  ...
}

Sections

Ambari uses the below sections only:

Commands

Commands currently supported by Ambari are

• INSTALL
• UNINSTALL
• START
• RESTART
• STOP
• EXECUTE
• ABORT
• UPGRADE
• SERVICE_CHECK
• CUSTOM_COMMAND
• ACTIONEXECUTE

Examples

Repositories

Each stack-version can provide the location of package repositories to use, by providing a repos/repoinfo.xml (Ex: HDP-2.0.6)
The repoinfo.xml file contains repositories grouped by operating systems. Each OS specifies a list of repositories that are shown to the user when the stack-version is selected for install.
These repositories are used in conjunction with the packages defined in a service's metainfo.xml to install appropriate bits on the system.

<reposinfo>
  <os family="redhat6">
    <repo>
      <baseurl>http://public-repo-1.hortonworks.com/HDP/centos6/2.x/updates/2.0.6.1</baseurl>
      <repoid>HDP-2.0.6</repoid>
      <reponame>HDP</reponame>
    </repo>
    <repo>
      <baseurl>http://public-repo-1.hortonworks.com/HDP-UTILS-1.1.0.17/repos/centos6</baseurl>
      <repoid>HDP-UTILS-1.1.0.17</repoid>
      <reponame>HDP-UTILS</reponame>
    </repo>
  </os>
<reposinfo>

baseurl- URL of the RPM repository where provided repoid can be found
repoid - Repo ID to use that are hosted at baseurl
reponame -  Display name for the repo being used.

Latest Builds

Though repository base URL is capable of providing updates to a particular repo, it has to be defined at build time. This could be an issue later when the repository changes location, or update builds are hosted at a different site.
For such scenarios, a stack-version can provide the location of a JSON file which can provide details of other repo URLs to use.

Example: HDP-2.3 repoinfo.xml uses <latest> file, which then points to alternate repository URLs where latest builds can be found:

{
    ...
    "HDP-2.3":{
        "latest":{
            "centos6":"http://s3.amazonaws.com/dev.hortonworks.com/HDP/centos6/2.x/BUILDS/2.3.6.0-3586/",
            "centos7":"http://s3.amazonaws.com/dev.hortonworks.com/HDP/centos7/2.x/BUILDS/2.3.6.0-3586/",
            "debian6":"http://s3.amazonaws.com/dev.hortonworks.com/HDP/debian6/2.x/BUILDS/2.3.6.0-3586/",
            "debian7":"http://s3.amazonaws.com/dev.hortonworks.com/HDP/debian7/2.x/BUILDS/2.3.6.0-3586/",
            "suse11":"http://s3.amazonaws.com/dev.hortonworks.com/HDP/suse11sp3/2.x/BUILDS/2.3.6.0-3586/",
            "ubuntu12":"http://s3.amazonaws.com/dev.hortonworks.com/HDP/ubuntu12/2.x/BUILDS/2.3.6.0-3586/",
            "ubuntu14":"http://s3.amazonaws.com/dev.hortonworks.com/HDP/ubuntu14/2.x/BUILDS/2.3.6.0-3586/"
        }
    },
    ...
} 

Hooks

A stack-version could have very basic and common instructions that need to be run before or after certain Ambari commands, across all services.
Instead of duplicating this code across all service scripts and asking users to worry about them, Ambari provides the Hooks ability where common before and after code can be pulled away into the hooks folder. (Ex: HDP-2.0.6)

Command Sub-Folders

The general naming pattern for hooks sub-folders is "<before|after>-<ANY|<CommandName>>".
What this means is that the scripts/hook.py file under the sub-folder is run either before or after the command.

Examples:

Based on the commands currently supported by Ambari, the following sub-folders can be created based on necessity

 The scripts/hook.py script should import resource_management.libraries.script.hook module and extend the Hook class

from resource_management.libraries.script.hook import Hook

class CustomHook(Hook):
  def hook(self, env):
    # Do custom work
    
if __name__ == "__main__":
  CustomHook().execute()

Configurations

Though most configurations are set at the service level, there can be configurations which apply across all services to indicate the state of the cluster installed with this stack.
For example, things like "is security enabled?", "what user runs smoke tests?" etc.

Such configurations can be defined in the configuration folder of the stack. They are available for access just like the service-level configs.

Stack Advisor

With each stack containing multiple complex services, it becomes necessary to dynamically determine how the services are laid out on the cluster, and for determining values of certain configurations.
Ambari provides the Stack Advisor capability where stacks can write a Python script named stack-advisor.py in the services/ folder. Example: HDP-2.0.6. 
Stack-advisor scripts automatically extend the parent stack-version's stack-advisor scripts. This allows newer stack-versions to change behavior without effecting earlier behavior.

Stack advisors provide information on 4 important aspects:

1. Recommend layout of services on cluster
2. Recommend service configurations
3. Validate layout of services on cluster
4. Validate service configurations

By providing the stack-advisor.py file, one can control dynamically each of the above. 

The main interface for the stack-advisor scripts contains documentation on how each of the above are called, and what data is provided

class StackAdvisor(object):
  """
  Abstract class implemented by all stack advisors. Stack advisors advise on stack specific questions. 


  Currently stack advisors provide following abilities:
  - Recommend where services should be installed in cluster
  - Recommend configurations based on host hardware
  - Validate user selection of where services are installed on cluster
  - Validate user configuration values 

  Each of the above methods is passed in parameters about services and hosts involved as described below.


    @type services: dictionary
    @param services: Dictionary containing all information about services selected by the user. 
      Example: {
      "services": [
        {
          "StackServices": {
            "service_name" : "HDFS",
            "service_version" : "2.6.0.2.2",
          },
          "components" : [ 
            {
              "StackServiceComponents" : {
                "cardinality" : "1+",
                "component_category" : "SLAVE",
                "component_name" : "DATANODE",
                "display_name" : "DataNode",
                "service_name" : "HDFS",
                "hostnames" : []
              },
              "dependencies" : []
            }, {
              "StackServiceComponents" : {
                "cardinality" : "1-2",
                "component_category" : "MASTER",
                "component_name" : "NAMENODE",
                "display_name" : "NameNode",
                "service_name" : "HDFS",
                "hostnames" : []
              },
              "dependencies" : []
            },
            ...
          ]
        },
        ...
      ]
    }
  @type hosts: dictionary
  @param hosts: Dictionary containing all information about hosts in this cluster
    Example: {
      "items": [
        {
          Hosts: {
            "host_name": "c6401.ambari.apache.org",
            "public_host_name" : "c6401.ambari.apache.org",
            "ip": "192.168.1.101",
            "cpu_count" : 1,
            "disk_info" : [
              {
              "available" : "4564632",
              "used" : "5230344",
              "percent" : "54%",
              "size" : "10319160",
              "type" : "ext4",
              "mountpoint" : "/"
              },
              {
              "available" : "1832436",
              "used" : "0",
              "percent" : "0%",
              "size" : "1832436",
              "type" : "tmpfs",
              "mountpoint" : "/dev/shm"
              }
            ],
            "host_state" : "HEALTHY",
            "os_arch" : "x86_64",
            "os_type" : "centos6",
            "total_mem" : 3664872
          }
        },
        ...
      ]
    }


    Each of the methods can either return recommendations or validations.

    Recommendations are made in a Ambari Blueprints friendly format. 
    Validations are an array of validation objects.
  """


  def recommendComponentLayout(self, services, hosts):
    """
    Returns recommendation of which hosts various service components should be installed on.

    This function takes as input all details about services being installed, and hosts
    they are being installed into, to generate hostname assignments to various components
    of each service.


    @type services: dictionary
    @param services: Dictionary containing all information about services selected by the user.
    @type hosts: dictionary
    @param hosts: Dictionary containing all information about hosts in this cluster
    @rtype: dictionary
    @return: Layout recommendation of service components on cluster hosts in Ambari Blueprints friendly format. 
        Example: {
          "resources" : [
            {
              "hosts" : [
                "c6402.ambari.apache.org",
                "c6401.ambari.apache.org"
              ],
              "services" : [
                "HDFS"
              ],
              "recommendations" : {
                "blueprint" : {
                  "host_groups" : [
                    {
                      "name" : "host-group-2",
                      "components" : [
                        { "name" : "JOURNALNODE" },
                        { "name" : "ZKFC" },
                        { "name" : "DATANODE" },
                        { "name" : "SECONDARY_NAMENODE" }
                      ]
                    },
                    {
                      "name" : "host-group-1",
                      "components" : 
                        { "name" : "HDFS_CLIENT" },
                        { "name" : "NAMENODE" },
                        { "name" : "JOURNALNODE" },
                        { "name" : "ZKFC" },
                        { "name" : "DATANODE" }
                      ]
                    }
                  ]
                },
                "blueprint_cluster_binding" : {
                  "host_groups" : [
                    {
                      "name" : "host-group-1",
                      "hosts" : [ { "fqdn" : "c6401.ambari.apache.org" } ]
                    },
                    {
                      "name" : "host-group-2",
                      "hosts" : [ { "fqdn" : "c6402.ambari.apache.org" } ]
                    }
                  ]
                }
              }
            }
          ]
        }
    """
    pass

  def validateComponentLayout(self, services, hosts):
    """
    Returns array of Validation issues with service component layout on hosts


    This function takes as input all details about services being installed along with
    hosts the components are being installed on (hostnames property is populated for 
    each component).  

    @type services: dictionary
    @param services: Dictionary containing information about services and host layout selected by the user.
    @type hosts: dictionary
    @param hosts: Dictionary containing all information about hosts in this cluster
    @rtype: dictionary
    @return: Dictionary containing array of validation items
        Example: {
          "items": [
            {
              "type" : "host-group",
              "level" : "ERROR",
              "message" : "NameNode and Secondary NameNode should not be hosted on the same machine",
              "component-name" : "NAMENODE",
              "host" : "c6401.ambari.apache.org" 
            },
            ...
          ]
        }  
    """
    pass


  def recommendConfigurations(self, services, hosts):
    """
    Returns recommendation of service configurations based on host-specific layout of components.

    This function takes as input all details about services being installed, and hosts
    they are being installed into, to recommend host-specific configurations.


    @type services: dictionary
    @param services: Dictionary containing all information about services and component layout selected by the user.
    @type hosts: dictionary
    @param hosts: Dictionary containing all information about hosts in this cluster
    @rtype: dictionary
    @return: Layout recommendation of service components on cluster hosts in Ambari Blueprints friendly format. 
        Example: {
         "services": [
          "HIVE", 
          "TEZ", 
          "YARN"
         ], 
         "recommendations": {
          "blueprint": {
           "host_groups": [], 
           "configurations": {
            "yarn-site": {
             "properties": {
              "yarn.scheduler.minimum-allocation-mb": "682", 
              "yarn.scheduler.maximum-allocation-mb": "2048", 
              "yarn.nodemanager.resource.memory-mb": "2048"
             }
            }, 
            "tez-site": {
             "properties": {
              "tez.am.java.opts": "-server -Xmx546m -Djava.net.preferIPv4Stack=true -XX:+UseNUMA -XX:+UseParallelGC", 
              "tez.am.resource.memory.mb": "682"
             }
            }, 
            "hive-site": {
             "properties": {
              "hive.tez.container.size": "682", 
              "hive.tez.java.opts": "-server -Xmx546m -Djava.net.preferIPv4Stack=true -XX:NewRatio=8 -XX:+UseNUMA -XX:+UseParallelGC", 
              "hive.auto.convert.join.noconditionaltask.size": "238026752"
             }
            }
           }
          }, 
          "blueprint_cluster_binding": {
           "host_groups": []
          }
         }, 
         "hosts": [
          "c6401.ambari.apache.org", 
          "c6402.ambari.apache.org", 
          "c6403.ambari.apache.org" 
         ] 
        }
    """
    pass

  def validateConfigurations(self, services, hosts):
    """"
    Returns array of Validation issues with configurations provided by user
    This function takes as input all details about services being installed along with
    configuration values entered by the user. These configurations can be validated against
    service requirements, or host hardware to generate validation issues. 


    @type services: dictionary
    @param services: Dictionary containing information about services and user configurations.
    @type hosts: dictionary
    @param hosts: Dictionary containing all information about hosts in this cluster
    @rtype: dictionary
    @return: Dictionary containing array of validation items
        Example: {
         "items": [
          {
           "config-type": "yarn-site", 
           "message": "Value is less than the recommended default of 682", 
           "type": "configuration", 
           "config-name": "yarn.scheduler.minimum-allocation-mb", 
           "level": "WARN"
          }
         ]
       }
    """
    pass

Examples

• Stack Advisor interface
• Default Stack Advisor implementation - for all stacks
• HDP (2.0.6) Default Stack Advisor implementation
• YARN container size calculated
• Recommended configurations - HDFS, YARN, MapReduce2, HBase (HDP-2.0.6), HBase (HDP-2.3)
• Delete HBase Bucket Cache configs on smaller machines
• Specify maximum value for Tez config

Widgets

At the stack-version level one can contribute heatmap entries to the main dashboard of the cluster.
Generally these heatmaps would be ones which apply to all services - like host level heatmaps.
Example: HDP-2.0.6 contributes host level heatmaps 

Kerberos

We have seen previously the Kerberos descriptor at the service level.
One can be defined at the stack-version level also to describe identities across all services.

Example: Smoke tests user and SPNEGO user defined in HDP-2.0.6

Stack Upgrades

Ambari provides the ability to upgrade your cluster from a lower stack-version to a higher stack-version.
Each stack-version can define upgrade-packs, which are XML files describing the upgrade process. These upgrade-pack XML files are placed in the stack-version's upgrades/ folder.
Example: HDP-2.3, HDP-2.4 

Each stack-version should have an upgrade-pack for the next stack-version a cluster can upgrade to.
Ex: Upgrade-pack from HDP-2.3 to HDP-2.4

There are two types of upgrades:

Each component which has to be upgraded by Ambari should specify the versionAdvertised flag in the metainfo.xml.
This will tell Ambari to use the component's version and perform upgrade. Not specifying this flag will result in Ambari not upgrading the component.
Example: HDFS NameNode (versionAdvertised=true), AMS Metrics Collector (versionAdvertised=false).

Rolling Upgrades

In Rolling Upgrade each service is upgraded with minimal downtime in mind. The general approach is to quickly upgrade the master components, followed by upgrading of workers in batches.
The service will not be available when masters are restarting. However when master components are in High Availability (HA), the service continues to be available through restart of each master. 

You can read more about the Rolling Upgrade process via this blog post and documentation. 

Examples

• HDP-2.2.x to HDP-2.2.y 
• HDP-2.2 to HDP-2.3
• HDP-2.2 to HDP-2.4
• HDP-2.3 to HDP-2.4

Express Upgrades

In Express Upgrade the goal is to upgrade entire cluster as fast as possible - even if it means cluster downtime. It is generally much faster than Rolling Upgrade.
For each service the components are first stopped, upgraded and then started.

You can read about Express Upgrade steps in this documentation.

Examples

• HDP-2.1 to HDP-2.3
• HDP-2.2 to HDP-2.4