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https://issues.apache.org/jira/browse/SOLR-13440?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16832110#comment-16832110
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Andrzej Bialecki  commented on SOLR-13440:
------------------------------------------

This patch contains the following:

* {{SnapshotCloudManager}} and a set of {{Snapshot*}} components that can 
represent a read-only view of all autoscaling data. These components can be 
initialized either from another {{SolrCloudManager}} or from JSON data.
* Improvements in {{SolrCloudManager}} components and API to support round-trip 
serialization to/from JSON maps.
* {{SolrCLI}} support for saving and reading autoscaling snapshots. The 
{{save}} operation always requires access to a live cluster. All other existing 
functionality of {{bin/solr autoscaling}} is supported when using data from a 
saved snapshot - so it's possible to test suggestions/violations using a custom 
autoscaling config and/or run simulated execution of suggestions - all without 
actually having access to a running Solr instance.
* unit tests for snapshot data consistency and round-trip serialization.

> Support saving/restoring state of the SimCloudManager for repeatable 
> simulations
> --------------------------------------------------------------------------------
>
>                 Key: SOLR-13440
>                 URL: https://issues.apache.org/jira/browse/SOLR-13440
>             Project: Solr
>          Issue Type: Improvement
>      Security Level: Public(Default Security Level. Issues are Public) 
>            Reporter: Andrzej Bialecki 
>            Assignee: Andrzej Bialecki 
>            Priority: Major
>         Attachments: SOLR-13440.patch
>
>
> In order to run simulated experiments that test variations in autoscaling 
> configs and their impact on the cluster layout we need to be able to start 
> from a known well-defined state.
> Currently the {{bin/solr autoscaling -simulate}} tool supports getting the 
> initial state from an actual running cluster. This issue proposes adding 
> support for saving and restoring this state from local files for running 
> repeatable experiments.



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