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Posted to dev@sling.apache.org by "Konrad Windszus (JIRA)" <ji...@apache.org> on 2018/01/15 18:21:03 UTC
[jira] [Updated] (SLING-7382) Send Content-Type header along with
the DistributionPackage's content in forward and reverse distribution
[ https://issues.apache.org/jira/browse/SLING-7382?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Konrad Windszus updated SLING-7382:
-----------------------------------
Summary: Send Content-Type header along with the DistributionPackage's content in forward and reverse distribution (was: Send Content-Type header along with the DistributionPackage's content in reverse and reverse distribution)
> Send Content-Type header along with the DistributionPackage's content in forward and reverse distribution
> ---------------------------------------------------------------------------------------------------------
>
> Key: SLING-7382
> URL: https://issues.apache.org/jira/browse/SLING-7382
> Project: Sling
> Issue Type: Improvement
> Components: Content Distribution
> Reporter: Dirk Rudolph
> Priority: Minor
>
> Along with SLING-7357 the transmission of DistributionPackage's Content-Type has been implemented for forward distribution to allow writing DistributionContentSerializers targeting different kinds of sinks in forward distribution.
> An addition to that use case is the implementation of the same in the opposite direction. For example sling not only being a source in a stream processing cluster but also being a sink.
> For example:
> 1. We have a authoring instance where editors create content
> 2. That content gets distributed to a publishing instance
> 3. From the publishing instance the content gets distributed to apache solr
> 4. Solr runs [ClassificationUpdateProcessorFactory|https://lucene.apache.org/solr/7_2_0/solr-core/org/apache/solr/update/processor/ClassificationUpdateProcessorFactory.html] enriching the content
> 5. The authoring instance periodically pulls back the classified content
> A real world example would be smart tagging, where human judgment is applied on a subset of content and classification with existing infrastructure is done to enrich the all of the content.
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