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https://issues.apache.org/jira/browse/SOLR-17391?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SOLR-17391:
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Labels: pull-request-available (was: )
> Optimize Backup/Restore Operations for Large Collections
> --------------------------------------------------------
>
> Key: SOLR-17391
> URL: https://issues.apache.org/jira/browse/SOLR-17391
> Project: Solr
> Issue Type: Improvement
> Security Level: Public(Default Security Level. Issues are Public)
> Components: Backup/Restore
> Affects Versions: 9.4, 9.5, 9.4.1, 9.6, 9.6.1
> Reporter: Hakan Özler
> Priority: Major
> Labels: pull-request-available
> Time Spent: 10m
> Remaining Estimate: 0h
>
> The backup/restore performance issue was first reported on [the users
> mailing|https://lists.apache.org/thread/ssmzg5nhhxdhgz4980opn1vzxs81o9pk]
> list.
>
> We're experiencing performance issues in the recent Solr versions — 9.5.0 and
> 9.6.1 — regarding backup and restore. In 9.2.1, we could take a backup of
> 10TB data in just 1 and a half hours. Currently, as of 9.5.0, taking a backup
> of the collection takes 7 hours! We're unable to make use of disaster
> recovery effectively and reliably in Solr. Therefore, Solr 9.2.1 still
> remains the most effective choice among the other 9.x versions for our use.
> It seems that this is the ticket causing this issue:
> 1. https://issues.apache.org/jira/browse/SOLR-16879
> Interestingly, we never encountered a throttling problem during operations
> when this was introduced to be solved based on this argument on 9.2.1. From a
> devops perspective, we have some details and metrics on these tasks to
> distinguish the difference between two versions. The overall IOPS was 150MB
> on 9.6.1, while IOPS was 500MB on 9.2.1 during the same backup and restore
> tasks. In the first below, the peak on the left represents a backup, in
> contrast, in the 2nd image, the same backup operation in 9.5.0 uses less
> resource. As you may spot, 9.5.0 seems to be using a fifth of the resources
> of 9.2.1.
>
> !https://i.imgur.com/aSrs8OM.png!
> Image 1.
> !https://i.imgur.com/aSrs8OM.png!
> Image 2.
>
> Apart from that, monitoring some relevant metrics during the operations, I
> had some difficulty interpreting the following metrics:
> {code:java}
> ADMIN./admin/cores.threadPool.parallelCoreExpensiveAdminExecutor.pool.core: 0,
> ADMIN./admin/cores.threadPool.parallelCoreExpensiveAdminExecutor.pool.max: 5,
> ADMIN./admin/cores.threadPool.parallelCoreExpensiveAdminExecutor.pool.size: 1,
> ADMIN./admin/cores.threadPool.parallelCoreExpensiveAdminExecutor.running:
> 1,{code}
> The pool size was 1 although the pool max size is 5. Shouldn't the pool size
> be 5, instead? However, there is always one task running on a single node,
> not 5 concurrently, if I'm not mistaken.
> I was also wondering if the max thread size, which is currently 5 in 9.4+,
> could be configurable with either an environment variable or Java parameter?
> The part that needs to be changed seems to be in CoreAdminHandler.java on
> line 446 [1] I've made a small adjustment to add a Solr parameter called
> `solr.maxExpensiveTaskThreads` for those who want to set a different thread
> size for expensive tasks. The number given in this parameter must meet the
> criteria of ThreadPoolExecutor, otherwise IllegalArgumentException will
> occur. I've generated a patch [2] and I would love to see if someone from the
> Solr committers would take on this and apply for the upcoming release. Do you
> think our observation is accurate and would this patch be feasible to
> implement?
>
> 1.
> [https://github.com/apache/solr/commit/82a847f0f9af18d6eceee18743d636db7a879f3e#diff-5bc3d44ca8b189f44fe9e6f75af8a5510463bdba79ff72a7d0ed190973a32533L446]
> 2. [https://gist.github.com/ozlerhakan/e4d11bddae6a2f89d2c212c220f4c965]
>
> Follow up on this, we managed to backup a data of 3TB in 50 minutes with the
> patch using `solr.maxExpensiveTaskThreads=5` :
>
> !https://i.imgur.com/oeCrhLn.png|width=626,height=239!
>
> I also answered the questions from @Kevin Liang ,
> {quote}Was this change tested on a cloud that was also taking active
> ingest/query requests as the same time as the backup?
> {quote}
> The test is completed in a SolrCloud 9.6.1 + the patch cluster managed by the
> official Solr operator on Amazon EKS. The backup strategy is not intended to
> happen frequently. Instead, we plan to take some backups for a certain period
> of time, therefore we won't expect intense search traffic in and out during
> backups.
>
> {quote}This performance is really exciting, but I'm curious how much burden
> it puts on CPU and memory.
> {quote}
> I'd say that Solr was pretty relaxed during the test based on the CPU usage.
> It looks like backup and restore are not a CPU intensive task. Each node used
> only one core at a time.
> !https://i.imgur.com/pEb37nb.png|width=348,height=222!
> !https://i.imgur.com/4aFqJVY.png|width=348,height=238!
> {quote}Also was this just taking a snapshot backup of the segment files or
> did this also include uploading to S3?
> {quote}
>
> We're using the recommended backup functionality, where Solr uploads
> everything to S3 [1] During backup and restore ops, the relevant metrics
> looked like this:
> {code:java}
> ADMIN./admin/cores.threadPool.parallelCoreExpensiveAdminExecutor.pool.core: 5,
> ADMIN./admin/cores.threadPool.parallelCoreExpensiveAdminExecutor.pool.max: 5,
> ADMIN./admin/cores.threadPool.parallelCoreExpensiveAdminExecutor.pool.size: 5,
> ADMIN./admin/cores.threadPool.parallelCoreExpensiveAdminExecutor.running:
> 5,{code}
> While, without the patch, It indicated the following behavior:
> {code:java}
> ADMIN./admin/cores.threadPool.parallelCoreExpensiveAdminExecutor.pool.core: 0,
> ADMIN./admin/cores.threadPool.parallelCoreExpensiveAdminExecutor.pool.max: 5,
> ADMIN./admin/cores.threadPool.parallelCoreExpensiveAdminExecutor.pool.size: 1,
> ADMIN./admin/cores.threadPool.parallelCoreExpensiveAdminExecutor.running:
> 1,{code}
>
> Given that we have the patch, I believe we've returned to the old 9.2.1
> version. Setting the parameter to 1 seems to replicate the current 9.6.1
> version, where the same backup takes 2.5 hours. This is clear, there was one
> thread/task running for a shard on every Solr node, as each node has 5 shards
> in the cluster for the collection, and there were 4 more tasks in the queue:
> {code:java}
> ADMIN./admin/cores.threadPool.parallelCoreExpensiveAdminExecutor.pool.core: 1,
> ADMIN./admin/cores.threadPool.parallelCoreExpensiveAdminExecutor.pool.max: 1,
> ADMIN./admin/cores.threadPool.parallelCoreExpensiveAdminExecutor.pool.size: 1,
> ADMIN./admin/cores.threadPool.parallelCoreExpensiveAdminExecutor.running: 1,
> ADMIN./admin/cores.threadPool.parallelCoreExpensiveAdminExecutor.tasks.active:
> 1,
> ADMIN./admin/cores.threadPool.parallelCoreExpensiveAdminExecutor.tasks.capacity:
> 2147483644,
> ADMIN./admin/cores.threadPool.parallelCoreExpensiveAdminExecutor.tasks.completed:
> 0,
> ADMIN./admin/cores.threadPool.parallelCoreExpensiveAdminExecutor.tasks.queued:
> 4{code}
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