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Date: Tue, 25 Apr 2017 23:07:04 +0000 (UTC)
From: "Alejandro Fernandez (JIRA)" <jira@apache.org>
To: issues@ambari.apache.org
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Subject: [jira] [Created] (AMBARI-20852) Ambari & HDP 3.0 - Service Advisors
 for all Services in Java + Drools
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archived-at: Tue, 25 Apr 2017 23:07:08 -0000

Alejandro Fernandez created AMBARI-20852:
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             Summary: Ambari & HDP 3.0 - Service Advisors for all Services in Java + Drools
                 Key: AMBARI-20852
                 URL: https://issues.apache.org/jira/browse/AMBARI-20852
             Project: Ambari
          Issue Type: Epic
          Components: ambari-server, stacks
    Affects Versions: 3.0.0
            Reporter: Alejandro Fernandez
            Assignee: Alejandro Fernandez
             Fix For: trunk


Service Advisors for Ambari 3.0 and HDP 3.0

Design Review: https://drive.google.com/file/d/0B1xc-WVoHfq-bE01RkRUM2JHODg/view

Tasks:
# Service-level granularity: Today, several services are already using Python Services Advisors for HDP 3.0, including ZK, HDFS, YARN/MR, Slider, Tez, Hive, Spark. Over time we will refactor these to be in Java, and the rest of the services in the stack as well. In order to still verify the entire stack works, some services may need to first be ported over to Python Service Advisors (which generally takes 1 day) in order to unblock any development.
# Prototype: Ambari Server start needs to calculate which service definition to load (could be from management pack, HDP stack, or common services). The service definition will contain a Service Advisor python file or jar. If a jar, we need a separate class-loader (so that any errors don't prevent ambari-server from starting).
During the Stack Advisor calls in Java to recommend/validate, we need to determine with Service Advisor type that service uses, call the appropriate method in Java or python script.
When using Java, we need to define the interface contract, utility functions, etc.
This is an overwhelming portion of the work.
# Implement a handful of Service Advisors using the new contract, utilities, etc. Services like ZK, HDFS, Tez and simple enough that they may just use POJOs.
# Drools: For more complex services like Hive, YARN, Atlas, come up with Drools rules.
# Unit and Functional tests
# Address versioning of utilities, thing of backward and forward compatibility, certificate signing of jars


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