Hi Shawn, We have a different use case than the ones you covered in your response to Robert (below), which I wanted to call out.
We currently use the embedded server when building indexes as part of a Hadoop workflow. The results get copied to a production analytics server and swapped in on a daily basis. Writing to multiple embedded servers (one per reduce task) gives us maximum performance, and has proven to be a very reliable method for the daily rebuild of pre-aggregations we need for our analytics use case. Regards, -- Ken PS - I'm also currently looking at using embedded Solr as a state storage engine for Samza. > From: Shawn Heisey > Sent: August 5, 2015 7:54:07am PDT > To: solr-user@lucene.apache.org > Subject: Re: Embedded Solr now deprecated? > > On 8/5/2015 7:09 AM, Robert Krüger wrote: >> I tried to upgrade my application from solr 4 to 5 and just now realized >> that embedded use of solr seems to be on the way out. Is that correct or is >> there a just new API to use for that? > > Building on Erick's reply: > > I doubt that the embedded server is going away, and I do not recall > seeing *anything* marking the entire class deprecated. The class still > receives attention from devs -- this feature was released with 5.1.0: > > https://issues.apache.org/jira/browse/SOLR-7307 > > That said, we have discouraged users from deploying it in production for > quite some time, even though it continues to exist and receive developer > attention. Some of the reasons that I think users should avoid the > embedded server: It doesn't support SolrCloud, you cannot make it > fault-tolerant (redundant), and troubleshooting is harder because you > cannot connect to it from outside of the source code where it is embedded. > > Deploying Solr as a network service offers much more capability than you > can get when you embed it in your application. Chances are that you can > easily replace EmbeddedSolrServer with one of the SolrClient classes and > use a separate Solr deployment from your application. > > Thanks, > Shawn > -------------------------- Ken Krugler +1 530-210-6378 http://www.scaleunlimited.com custom big data solutions & training Hadoop, Cascading, Cassandra & Solr
