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https://issues.apache.org/jira/browse/SOLR-6526?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14137452#comment-14137452
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Joel Bernstein commented on SOLR-6526:
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Bringing the result set formats inline makes perfect sense, and I'll do that in
this ticket. That way the streaming API will work with both result sets.
Having use case specific API's is justified when the use case is very
important. Adding streaming aggregation functionality to Solr is very
important.
> Solr Streaming API
> ------------------
>
> Key: SOLR-6526
> URL: https://issues.apache.org/jira/browse/SOLR-6526
> Project: Solr
> Issue Type: New Feature
> Components: clients - java
> Reporter: Joel Bernstein
> Fix For: 5.0
>
> Attachments: SOLR-6526.patch
>
>
> It would be great if there was a SolrJ library that could connect to Solr's
> /export handler (SOLR-5244) and perform streaming operations on the sorted
> result sets.
> This ticket defines the base interfaces and implementations for the Streaming
> API. The base API contains three classes:
> *SolrStream*: This represents a stream from a single Solr instance. It speaks
> directly to the /export handler and provides methods to read() Tuples and
> close() the stream
> *CloudSolrStream*: This represents a stream from a SolrCloud collection. It
> speaks with Zk to discover the Solr instances in the collection and then
> creates SolrStreams to make the requests. The results from the underlying
> streams are merged inline to produce a single sorted stream of tuples.
> *Tuple*: The data structure returned by the read() method of the SolrStream
> API. It is nested to support grouping and Cartesian product set operations.
> Once these base classes are implemented it paves the way for building
> *Decorator* streams that perform operations on the sorted Tuple sets. For
> example a CollapseStream could be created:
> {code}
> CollapseStream collapseStream = new CollapseStream(new CloudSolrStream(zkUrl,
> queryRequest));
> Tuple tuple = null;
> while((tuple = collapseStream.read()) != null) {
> }
> {code}
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