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https://issues.apache.org/jira/browse/SPARK-23859?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16426727#comment-16426727
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Apache Spark commented on SPARK-23859:
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User 'WeichenXu123' has created a pull request for this issue:
https://github.com/apache/spark/pull/20982
> Initial PR for Instrumentation improvements: UUID and logging levels
> --------------------------------------------------------------------
>
> Key: SPARK-23859
> URL: https://issues.apache.org/jira/browse/SPARK-23859
> Project: Spark
> Issue Type: Sub-task
> Components: ML
> Affects Versions: 2.3.0
> Reporter: Joseph K. Bradley
> Assignee: Weichen Xu
> Priority: Major
>
> This is a subtask for an initial PR to improve MLlib's Instrumentation class
> for logging. It will address a couple of issues and use the changes in
> LogisticRegression as an example class.
> Issues:
> * The UUID is currently generated from an atomic integer. This is a problem
> since the integer is reset whenever a persisted Estimator is loaded on a new
> cluster. We should just use a random UUID to get a new UUID each time with
> high probability.
> * We use both Instrumentation and Logging to log stuff. Let's standardize
> around Instrumentation in MLlib since it can associate logs with the
> Estimator or Transformer which produced the logs (via a prefix with the
> algorithm's name or UUID).
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