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From "ASF GitHub Bot (Jira)" <j...@apache.org>
Subject [jira] [Work logged] (HDDS-1094) Performance test infrastructure : skip writing user data on Datanode
Date Fri, 23 Aug 2019 06:45:00 GMT

     [ https://issues.apache.org/jira/browse/HDDS-1094?focusedWorklogId=300088&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-300088

ASF GitHub Bot logged work on HDDS-1094:

                Author: ASF GitHub Bot
            Created on: 23/Aug/19 06:44
            Start Date: 23/Aug/19 06:44
    Worklog Time Spent: 10m 
      Work Description: supratimdeka commented on pull request #1323: HDDS-1094. Performance
test infrastructure : skip writing user data on Datanode. Contributed by Supratim Deka
URL: https://github.com/apache/hadoop/pull/1323#discussion_r316993125

 File path: hadoop-ozone/tools/src/main/java/org/apache/hadoop/ozone/freon/RandomKeyGenerator.java
 @@ -251,6 +252,12 @@ public void init(OzoneConfiguration configuration) throws IOException
   public Void call() throws Exception {
     if (ozoneConfiguration != null) {
+      if (ozoneConfiguration.getBoolean(HddsConfigKeys.HDDS_CONTAINER_PERSISTDATA,
 Review comment:
   this is required because each individual test case in TestDataValidate sets this parameter
in the RandomKeyGenerator builder. 
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Issue Time Tracking

    Worklog Id:     (was: 300088)
    Time Spent: 1.5h  (was: 1h 20m)

> Performance test infrastructure : skip writing user data on Datanode
> --------------------------------------------------------------------
>                 Key: HDDS-1094
>                 URL: https://issues.apache.org/jira/browse/HDDS-1094
>             Project: Hadoop Distributed Data Store
>          Issue Type: Improvement
>          Components: Ozone Datanode
>            Reporter: Supratim Deka
>            Assignee: Supratim Deka
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 1.5h
>  Remaining Estimate: 0h
> Goal:
> It can be useful to exercise the IO and control paths in Ozone for simulated large datasets
without having huge disk capacity at hand. For example, this will allow us to get things like
container reports and incremental container reports, while not needing huge cluster capacity.
The [SimulatedFsDataset|https://github.com/apache/hadoop/blob/trunk/hadoop-hdfs-project/hadoop-hdfs/src/test/java/org/apache/hadoop/hdfs/server/datanode/SimulatedFSDataset.java]
does something similar in HDFS. It has been an invaluable tool to simulate large data stores.

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