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From "Hyunsik Choi (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (TAJO-88) Separate Tajo's cluster resource manager from Yarn (Umbrella)
Date Mon, 22 Jul 2013 15:32:49 GMT

     [ https://issues.apache.org/jira/browse/TAJO-88?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Hyunsik Choi updated TAJO-88:
-----------------------------

    Description: 
In the current implementation, the resource management of Tajo is tightly coupled to Hadoop
Yarn. Hadoop YARN has emerged and a nice resource manager for large clusters, but Yarn is
not the best choice for low latency query executions.

The main purpose of this issue is to separate Tajo's resource manager from Yarn and add a
standby mode. In the standby mode, Tajo workers will be on standby, and they will provide
low-latency responses for query tasks.

This issue is an umbrella issue, and our subtasks are as follows:
* We will separate QueryMaster from TajoMaster.
* We will provide a resource manager interface for Yarn and Tajo's one.
* We will implement our own resource manager and worker containers for the standby mode.

Finally, we will provide two modes:
 (1) On-demand mode (using Yarn): in this mode,  Tajo shares the cluster resource with another
Yarn applications. Per query, Tajo will request necessary cluster resources.
 (2) Standby mode: in this mode, Tajo master and workers will be on standby.

  was:
In the current implementation, the resource management of Tajo is tightly coupled to Hadoop
Yarn. Hadoop YARN has emerged and a nice resource manager for large clusters, but Yarn is
not the best choice for low latency query executions.

The main purpose of this issue is to add a standby mode. In this mode, Tajo workers will be
on standby, and they will provide low-latency responses for query tasks.

This issue is an umbrella issue, and our subtasks are as follows:
* We will separate QueryMaster from TajoMaster.
* We will provide a resource manager interface for Yarn and Tajo's one.
* We will implement our own resource manager and worker containers for the standby mode.

Finally, we will provide two modes:
 (1) On-demand mode (using Yarn): in this mode,  Tajo shares the cluster resource with another
Yarn applications. Per query, Tajo will request necessary cluster resources.
 (2) Standby mode: in this mode, Tajo master and workers will be on standby.

    
> Separate Tajo's cluster resource manager from Yarn (Umbrella)
> -------------------------------------------------------------
>
>                 Key: TAJO-88
>                 URL: https://issues.apache.org/jira/browse/TAJO-88
>             Project: Tajo
>          Issue Type: Improvement
>          Components: master, worker
>            Reporter: Hyunsik Choi
>             Fix For: 0.2-incubating
>
>
> In the current implementation, the resource management of Tajo is tightly coupled to
Hadoop Yarn. Hadoop YARN has emerged and a nice resource manager for large clusters, but Yarn
is not the best choice for low latency query executions.
> The main purpose of this issue is to separate Tajo's resource manager from Yarn and add
a standby mode. In the standby mode, Tajo workers will be on standby, and they will provide
low-latency responses for query tasks.
> This issue is an umbrella issue, and our subtasks are as follows:
> * We will separate QueryMaster from TajoMaster.
> * We will provide a resource manager interface for Yarn and Tajo's one.
> * We will implement our own resource manager and worker containers for the standby mode.
> Finally, we will provide two modes:
>  (1) On-demand mode (using Yarn): in this mode,  Tajo shares the cluster resource with
another Yarn applications. Per query, Tajo will request necessary cluster resources.
>  (2) Standby mode: in this mode, Tajo master and workers will be on standby.

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