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Posted to notifications@rya.apache.org by "Caleb Meier (JIRA)" <ji...@apache.org> on 2018/03/05 14:31:00 UTC
[jira] [Resolved] (RYA-416) Add the ability use the MongoDB
aggregation pipeline to evaluate simple SPARQL expressions
[ https://issues.apache.org/jira/browse/RYA-416?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Caleb Meier resolved RYA-416.
-----------------------------
Resolution: Fixed
> 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
> Priority: Major
> Fix For: 3.2.12
>
>
> 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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