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Posted to dev@lucene.apache.org by "Joel Bernstein (JIRA)" <ji...@apache.org> on 2014/08/06 16:23:14 UTC
[jira] [Updated] (SOLR-5244) Exporting Full Sorted Result Sets
[ https://issues.apache.org/jira/browse/SOLR-5244?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joel Bernstein updated SOLR-5244:
---------------------------------
Attachment: SOLR-5244.patch
New patch with custom sorting routines that uses top level String ordinals for sorting. Provides good sorting performance. The DocValues are also surprising fast to load.
> Exporting Full Sorted Result Sets
> ---------------------------------
>
> Key: SOLR-5244
> URL: https://issues.apache.org/jira/browse/SOLR-5244
> Project: Solr
> Issue Type: New Feature
> Components: search
> Affects Versions: 5.0
> Reporter: Joel Bernstein
> Assignee: Joel Bernstein
> Priority: Minor
> Fix For: 5.0, 4.10
>
> Attachments: 0001-SOLR_5244.patch, SOLR-5244.patch, SOLR-5244.patch, SOLR-5244.patch, SOLR-5244.patch, SOLR-5244.patch
>
>
> This ticket allows Solr to export full sorted result sets. The proposed syntax is:
> {code}
> q=*:*&rows=-1&wt=xsort&fl=a,b,c&sort=a desc,b desc
> {code}
> Under the covers, the rows=-1 parameter will signal Solr to use the ExportQParserPlugin as a RankQuery, which will simply collect a BitSet of the results. The SortingResponseWriter will sort the results based on the sort criteria and stream the results out.
> This capability will open up Solr for a whole range of uses that were typically done using aggregation engines like Hadoop. For example:
> *Large Distributed Joins*
> A client outside of Solr calls two different Solr collections and returns the results sorted by a join key. The client iterates through both streams and performs a merge join.
> *Fully Distributed Field Collapsing/Grouping*
> A client outside of Solr makes individual calls to all the servers in a single collection and returns results sorted by the collapse key. The client merge joins the sorted lists on the collapse key to perform the field collapse.
> *High Cardinality Distributed Aggregation*
> A client outside of Solr makes individual calls to all the servers in a single collection and sorts on a high cardinality field. The client then merge joins the sorted lists to perform the high cardinality aggregation.
> *Large Scale Time Series Rollups*
> A client outside Solr makes individual calls to all servers in a collection and sorts on time dimensions. The client merge joins the sorted result sets and rolls up the time dimensions as it iterates through the data.
> In these scenarios Solr is being used as a distributed sorting engine. Developers can write clients that take advantage of this sorting capability in any way they wish.
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