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https://issues.apache.org/jira/browse/RYA-416?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16315843#comment-16315843
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ASF GitHub Bot commented on RYA-416:
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Github user asfgit commented on the issue:
https://github.com/apache/incubator-rya/pull/254
Refer to this link for build results (access rights to CI server needed):
https://builds.apache.org/job/incubator-rya-master-with-optionals-pull-requests/611/
> Add the ability use the MongoDB aggregation pipeline to evaluate simple
> SPARQL expressions
> ------------------------------------------------------------------------------------------
>
> Key: RYA-416
> URL: https://issues.apache.org/jira/browse/RYA-416
> Project: Rya
> Issue Type: New Feature
> Reporter: Jesse Hatfield
> Assignee: Jesse Hatfield
>
> MongoDB provides the [aggregation pipeline
> framework|https://docs.mongodb.com/manual/core/aggregation-pipeline/] for
> multi-stage data processing. Currently, the query engine invokes this
> framework to apply individual statement patterns (using a "$match" expression
> for each and iterating through the results), then applies higher-level query
> operations (join, filter, select, project, etc) client-side.
> In principle, those high-level query operations could be rewritten as
> aggregation pipeline stages as well ($group, $match, $project, etc). This
> would allow more query evaluation logic to be executed by the MongoDB server
> itself, enabling server-side optimization. This could be used as a general
> query optimization, but would additionally be useful for any tool that only
> needed to write query results back to the server: adding a write step to the
> end of the resulting pipeline could obviate the need to communicate
> individual results to the client at all.
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