Feature/group subject triples #1152
Open
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
This patch first adds an outer join construct for core.async channels that mirrors the inner join construct introduced in #1061. That construct is then used to implement property join queries involving properties with sub-properties (or equivalent properties).
This patch also Adds a cartesion product on the results from the inner join process to accurately compute solution sets involving multi-cardinality properties.
Lastly, this patch implements grouping triples in a where clause which have the same subject variable to apply the property join optimization on triples which weren't originally consecutively listed.