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https://issues.apache.org/jira/browse/METRON-1460?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16384342#comment-16384342
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ASF GitHub Bot commented on METRON-1460:
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Github user cestella commented on the issue:

    https://github.com/apache/metron/pull/940
  
    Just FYI, as part of the performance experimentation in the lab here, we 
found that one major impediment to scale was the guava cache in this topology 
when the size of the cache becomes non-trivial in size (e.g. 10k+).  Swapping 
out [Caffeine](https://github.com/ben-manes/caffeine) immediately had a 
substantial affect.  I created #947 to migrate the split/join infrastructure to 
use caffeine as well and will look at the performance impact of that change.  I 
wanted to separate that work from here as it may be that guava performance is 
fine outside of an explicit threadpool like we have here.


> Create a complementary non-split-join enrichment topology
> ---------------------------------------------------------
>
>                 Key: METRON-1460
>                 URL: https://issues.apache.org/jira/browse/METRON-1460
>             Project: Metron
>          Issue Type: New Feature
>            Reporter: Casey Stella
>            Priority: Major
>
> There are some deficiencies to the split/join topology.
>  * It's hard to reason about
>  * Understanding the latency of enriching a message requires looking at 
> multiple bolts that each give summary statistics
>  * The join bolt's cache is really hard to reason about when performance 
> tuning
>  * During spikes in traffic, you can overload the join bolt's cache and drop 
> messages if you aren't careful
>  * In general, it's hard to associate a cache size and a duration kept in 
> cache with throughput and latency
>  * There are a lot of network hops per message
>  * Right now we are stuck at 2 stages of transformations being done 
> (enrichment and threat intel).  It's very possible that you might want 
> stellar enrichments to depend on the output of other stellar enrichments.  In 
> order to implement this in split/join you'd have to create a cycle in the 
> storm topology
>  
> I propose that we move to a model where we do enrichments in a single bolt in 
> parallel using a static threadpool (e.g. multiple workers in the same process 
> would share the threadpool).  IN all other ways, this would be backwards 
> compatible.  A transparent drop-in for the existing enrichment topology.
> There are some pros/cons about this too:
>  * Pro
>  * Easier to reason about from an individual message perspective
>  * Architecturally decoupled from Storm
>  * This sets us up if we want to consider other streaming technologies
>  * Fewer bolts
>  * spout -> enrichment bolt -> threatintel bolt -> output bolt
>  * Way fewer network hops per message
>  * currently 2n+1 where n is the number of enrichments used (if using stellar 
> subgroups, each subgroup is a hop)
>  * Easier to reason about from a performance perspective
>  * We trade cache size and eviction timeout for threadpool size
>  * We set ourselves up to have stellar subgroups with dependencies
>  * i.e. stellar subgroups that depend on the output of other subgroups
>  * If we do this, we can shrink the topology to just spout -> 
> enrichment/threat intel -> output
>  * Con
>  * We can no longer tune stellar enrichments independent from HBase 
> enrichments
>  * To be fair, with enrichments moving to stellar, this is the case in the 
> split/join approach too
>  * No idea about performance
> What I propose is to submit a PR that will deliver an alternative, completely 
> backwards compatible topology for enrichment that you can use by adjusting 
> the start_enrichment_topology.sh script to use remote-unified.yaml instead of 
> remote.yaml.  If we live with it for a while and have some good experiences 
> with it, maybe we can consider retiring the old enrichment topology.
>  
>  



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