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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Work logged] (HIVE-21822) Expose LlapDaemon metrics through a new API method
Date Tue, 04 Jun 2019 18:18:00 GMT

     [ https://issues.apache.org/jira/browse/HIVE-21822?focusedWorklogId=253904&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-253904
]

ASF GitHub Bot logged work on HIVE-21822:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 04/Jun/19 18:17
            Start Date: 04/Jun/19 18:17
    Worklog Time Spent: 10m 
      Work Description: odraese commented on pull request #657: HIVE-21822: Expose LlapDaemon
metrics through a new API method
URL: https://github.com/apache/hive/pull/657#discussion_r290427779
 
 

 ##########
 File path: llap-common/src/protobuf/LlapDaemonProtocol.proto
 ##########
 @@ -211,6 +211,14 @@ message PurgeCacheResponseProto {
   optional int64 purged_memory_bytes = 1;
 }
 
+message GetLoadMetricsRequestProto {
+}
+
+message GetLoadMetricsResponseProto {
+  optional int64 num_executors_available = 1;
 
 Review comment:
   i would change this to a Map<String,int64> for numeric values and add map entries
for each counter/metric rather than listing out each of them as separate  message values.
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 253904)
    Time Spent: 20m  (was: 10m)

> Expose LlapDaemon metrics through a new API method
> --------------------------------------------------
>
>                 Key: HIVE-21822
>                 URL: https://issues.apache.org/jira/browse/HIVE-21822
>             Project: Hive
>          Issue Type: Sub-task
>          Components: llap
>            Reporter: Peter Vary
>            Assignee: Peter Vary
>            Priority: Major
>              Labels: pull-request-available
>         Attachments: HIVE-21822.patch
>
>          Time Spent: 20m
>  Remaining Estimate: 0h
>
> We should add a new API method to access specific LlapDaemon metrics which would provide
information to TezAMs to make good decisions on load balancing tasks



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