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https://issues.apache.org/jira/browse/METRON-1657?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16546786#comment-16546786
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ASF GitHub Bot commented on METRON-1657:
----------------------------------------
Github user justinleet commented on a diff in the pull request:
https://github.com/apache/metron/pull/1099#discussion_r203068658
--- Diff: use-cases/parser_chaining/README.md ---
@@ -233,3 +233,10 @@ cat ~/data.log |
/usr/hdp/current/kafka-broker/bin/kafka-console-producer.sh --b
```
You should see indices created for the `cisco-5-304` and `cisco-6-302`
data with appropriate fields created for each type.
+
+# Aggregated Parsers with Parser Chaining
+Chained parsers can be run as aggregated parsers. These parsers continue
to use the sensor specific Kafka topics, and do not do internal routing to the
appropriate sensor.
+
--- End diff --
Updated the doc. Is something like this what you're looking for?
> Parser aggregation in storm
> ---------------------------
>
> Key: METRON-1657
> URL: https://issues.apache.org/jira/browse/METRON-1657
> Project: Metron
> Issue Type: Bug
> Reporter: Justin Leet
> Assignee: Justin Leet
> Priority: Major
>
> Currently our parsing solution requires one storm topology per sensor. It has
> been complained that this may be wasteful of resources and that, rather than
> one storm topology per sensor, it would be advantageous to have multiple
> sensors in the same topology. The benefit to this is that it would require
> fewer storm slots.
> The issue with this is that whenever we've aggregated functionality like this
> before, we've run into issues appropriately being able to scale storm (e.g.
> batch vs random access indexing in the same topology). The main point in
> addressing this is to recommend that parsers with similar velocities and
> complexity are grouped together.
> Particularly for a first cut, leave the configuration mostly as-is, while
> allowing for comma separated lists of sensors in start_parser_topology.sh
> (e.g. bro,yaf creates a aggregated parser consisting of those two).
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