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https://issues.apache.org/jira/browse/GOBBLIN-1492?focusedWorklogId=630763&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-630763
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ASF GitHub Bot logged work on GOBBLIN-1492:
-------------------------------------------

                Author: ASF GitHub Bot
            Created on: 28/Jul/21 20:22
            Start Date: 28/Jul/21 20:22
    Worklog Time Spent: 10m 
      Work Description: sv2000 commented on a change in pull request #3335:
URL: https://github.com/apache/gobblin/pull/3335#discussion_r678625187



##########
File path: 
gobblin-utility/src/main/java/org/apache/gobblin/util/ConfigUtils.java
##########
@@ -116,7 +116,8 @@ public static Properties configToProperties(Config config, 
Optional<String> pref
       Config resolvedConfig = config.resolve();
       for (Map.Entry<String, ConfigValue> entry : resolvedConfig.entrySet()) {
         if (!prefix.isPresent() || entry.getKey().startsWith(prefix.get())) {
-          String propKey = desanitizeKey(entry.getKey());
+          // Intern the string so that constant keys are not duplicated to 
save memory
+          String propKey = desanitizeKey(entry.getKey()).intern();

Review comment:
       It may be safer to introduce an overloaded method with an additional 
boolean flag as an argument, which when enabled interns the keys/values. 
FlowSpec builder can then call this overloaded method and the rest of the usage 
can remain as-is.




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Issue Time Tracking
-------------------

    Worklog Id:     (was: 630763)
    Time Spent: 3h 10m  (was: 3h)

> Optimize memory usage for Gobblin as a Service
> ----------------------------------------------
>
>                 Key: GOBBLIN-1492
>                 URL: https://issues.apache.org/jira/browse/GOBBLIN-1492
>             Project: Apache Gobblin
>          Issue Type: Improvement
>          Components: gobblin-service
>            Reporter: William Lo
>            Assignee: Abhishek Tiwari
>            Priority: Major
>          Time Spent: 3h 10m
>  Remaining Estimate: 0h
>
> Gobblin as a Service, under high loads, spends a large amount of time garbage 
> collecting. This will track a number of changes relating to optimizing the 
> memory usage



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