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https://issues.apache.org/jira/browse/SOLR-4816?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13669185#comment-13669185
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Mark Miller commented on SOLR-4816:
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Right, but that's not back compat either anyway - so I think we really want
consider what the ideal solution is for multi update responses - if we are free
to do something new, lets make sure its the right thing going forward.
Especially if we end up taking the concurrent* name. There are other issues
open about making a concurrent cloud solrserver that works like the concurrent
non Solrcloud server. The big sticking point is how responses will work.
Someone does have a patch where they have looked at a response plan for this.
This is only semi concurrent in comparison, and so it may not be ideal for this
impl to take the concurrent name.
To me, rather than have a hodge podge of impls, it almost makes more sense to
fix the cloud solrserver to hash client side in a fully back compat way, and
then tackle a concurrent version that is truly concurrent rather than just
concurrent over the set of logical shards. Per has opened a couple issues in
the past along those lines.
Just throwing out things for discussion.
> ConcurrentUpdateCloudSolrServer
> -------------------------------
>
> Key: SOLR-4816
> URL: https://issues.apache.org/jira/browse/SOLR-4816
> Project: Solr
> Issue Type: Improvement
> Components: SolrCloud
> Affects Versions: 4.3
> Reporter: Joel Bernstein
> Priority: Minor
> Attachments: SOLR-4816.patch, SOLR-4816.patch, SOLR-4816.patch,
> SOLR-4816.patch, SOLR-4816.patch, SOLR-4816.patch, SOLR-4816.patch,
> SOLR-4816.patch, SOLR-4816.patch, SOLR-4816.patch, SOLR-4816.patch,
> SOLR-4816.patch, SOLR-4816.patch, SOLR-4816.patch, SOLR-4816.patch,
> SOLR-4816.patch, SOLR-4816.patch, SOLR-4816.patch, SOLR-4816.patch,
> SOLR-4816-sriesenberg.patch
>
>
> This issue adds a new Solr Cloud client called the
> ConcurrentUpdateCloudSolrServer. This Solr Cloud client implements document
> routing in the client so that document routing overhead is eliminated on the
> Solr servers. Documents are batched up for each shard and then each batch is
> sent in it's own thread.
> With this client, Solr Cloud indexing throughput should scale linearly with
> cluster size.
> This client also has robust failover built-in because the actual requests are
> made using the LBHttpSolrServer. The list of urls used for the request to
> each shard begins with the leader and is followed by that shard's replicas.
> So the leader will be tried first and if it fails it will try the replicas.
> Sample usage:
> ConcurrentUpdateCloudServer client = new
> ConcurrentUpdateCloudSolrServer(zkHostAddress);
> UpdateRequest request = new UpdateRequest();
> SolrInputDocument doc = new SolrInputDocument();
> doc.addField("id", 2);
> doc.addField("manu","BMW");
> request.add(doc);
> NamedList response = client.request(request);
> NamedList exceptions = response.get("exceptions"); // contains any exceptions
> from the shards
> NamedList responses = response.get("responses"); // contains the responses
> from shards without exception.
>
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