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Posted to oak-issues@jackrabbit.apache.org by "Dirk Rudolph (JIRA)" <ji...@apache.org> on 2017/12/22 12:44:00 UTC

[jira] [Comment Edited] (OAK-7109) rep:facet returns wrong results for complex queries

    [ https://issues.apache.org/jira/browse/OAK-7109?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16301325#comment-16301325 ] 

Dirk Rudolph edited comment on OAK-7109 at 12/22/17 12:43 PM:
--------------------------------------------------------------

Yeah support of unions with facets doesn't work well, as facets are extracted on each row, though they related to the result not the rows. Will open an improvement for that as well as this has some costs: basically calling getTopChildren() for each row while iterating the result set. 

With splitting the result I didn't mean running the query in a union but running individual queries merging their RowIterators sets manually and extracting facets only from the first hit of each merging them together as well. That basically works but as I said I would have to rewrite the query in DNF like in the example:

{code}
select [rep:facet(simple/tags)] from [nt:base] as a where contains(a.[*], 'ipsum') and isdescendantnode(a,'/content1')
select [rep:facet(simple/tags)] from [nt:base] as a where contains(a.[*], 'ipsum') and isdescendantnode(a,'/content2')
{code}

That basically works, but only in the case that both queries hit the same index as only then TF/IDF score is comparable (also across multiple queries). So the solutions I see are:
a) creating DNF disjunctive statements of a query as alternatives (not sure if the alternative currently created is DNF) and support proper counting over union queries
b) filtering the results in the using the query plans filter while counting facets, similar to the way its done for ACLs
c) implementing a mode which translates any query as it is to its lucene equivalent

Both a) and b) come probably with a drawback on performance. c) might not even be feasible. 

Edit: opened OAK-7110 for counting facets only once per result, not once per row.


was (Author: diru):
Yeah support of unions with facets doesn't work well, as facets are extracted on each row, though they related to the result not the rows. Will open an improvement for that as well as this has some costs: basically calling getTopChildren() for each row while iterating the result set. 

With splitting the result I didn't mean running the query in a union but running individual queries merging their RowIterators sets manually and extracting facets only from the first hit of each merging them together as well. That basically works but as I said I would have to rewrite the query in DNF like in the example:

{code}
select [rep:facet(simple/tags)] from [nt:base] as a where contains(a.[*], 'ipsum') and isdescendantnode(a,'/content1')
select [rep:facet(simple/tags)] from [nt:base] as a where contains(a.[*], 'ipsum') and isdescendantnode(a,'/content2')
{code}

That basically works, but only in the case that both queries hit the same index as only then TF/IDF score is comparable (also across multiple queries). So the solutions I see are:
a) creating DNF disjunctive statements of a query as alternatives (not sure if the alternative currently created is DNF) and support proper counting over union queries
b) filtering the results in the using the query plans filter while counting facets, similar to the way its done for ACLs
c) implementing a mode which translates any query as it is to its lucene equivalent

Both a) and b) come probably with a drawback on performance. c) might not even be feasible. 


> rep:facet returns wrong results for complex queries
> ---------------------------------------------------
>
>                 Key: OAK-7109
>                 URL: https://issues.apache.org/jira/browse/OAK-7109
>             Project: Jackrabbit Oak
>          Issue Type: Bug
>          Components: lucene
>    Affects Versions: 1.6.7
>            Reporter: Dirk Rudolph
>              Labels: facet
>         Attachments: facetsInMultipleRoots.patch
>
>
> eComplex queries in that case are queries, which are passed to lucene not containing all original constraints. For example queries with multiple path restrictions like:
> {code}
> select [rep:facet(simple/tags)] from [nt:base] as a where contains(a.[*], 'ipsum') and (isdescendantnode(a,'/content1') or isdescendantnode(a,'/content2'))
> {code}
> In that particular case the index planer gives ":fulltext:ipsum" to lucene even though the index supports evaluating path constraints. 
> As counting the facets happens on the raw result of lucene, the returned facets are incorrect. For example having the following content 
> {code}
> /content1/test/foo
>  + text = lorem ipsum
>  - simple/
>   + tags = tag1, tag2
> /content2/test/bar
>  + text = lorem ipsum
>  - simple/
>   + tags = tag1, tag2
> /content3/test/bar
>  + text = lorem ipsum
>  - simple/
>    + tags = tag1, tag2
> {code}
> the expected result for the dimensions of simple/tags and the query above is 
> - tag1: 2
> - tag2: 2
> as the result set is 2 results long and all documents are equal. The actual result set is 
> - tag1: 3
> - tag2: 3
> as the path constraint is not handled by lucene.
> To workaround that the only solution that came to my mind is building the [disjunctive normal form|https://en.wikipedia.org/wiki/Disjunctive_normal_form] of my complex query and executing a query for each of the disjunctive statements. As this is expanding exponentially its only a theoretical solution, nothing for production. 



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