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Posted to dev@flume.apache.org by "Gopal Patwa (JIRA)" <ji...@apache.org> on 2013/07/16 21:08:52 UTC

[jira] [Commented] (FLUME-1687) ApacheSolrSink

    [ https://issues.apache.org/jira/browse/FLUME-1687?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13710095#comment-13710095 ] 

Gopal Patwa commented on FLUME-1687:
------------------------------------

I was just curious to know how this feature compare with "Flume Morphline Solr Sink" https://issues.apache.org/jira/browse/FLUME-2070

Should I use "Morphline Solr Sink" or "ApacheSolrSink" for genrating Solr index using Flume? 

                
> ApacheSolrSink
> --------------
>
>                 Key: FLUME-1687
>                 URL: https://issues.apache.org/jira/browse/FLUME-1687
>             Project: Flume
>          Issue Type: New Feature
>          Components: Sinks+Sources
>    Affects Versions: v1.2.0, v1.4.0
>            Reporter: wolfgang hoschek
>            Assignee: Israel Ekpo
>         Attachments: flume-new-feature-dependencies.zip, flume-new-features-1.3.1.jar, flume-new-features-1.3.1-sources.jar
>
>
> Some use cases need near real time full text indexing of data through Flume into Solr, where a Flume sink can write directly to a Solr search server. This is a scalable way to provide low latency querying and data acquisition. It complements (rather than replaces) use cases based on Map Reduce batch analysis of HDFS data.
> Apache Solr has a client API that uses REST to add documents to a Solr server, which in turn is based on Lucene. A Solr Sink can extract documents from flume events and forward them to Solr.

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