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https://issues.apache.org/jira/browse/SOLR-8208?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15279680#comment-15279680
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Mikhail Khludnev commented on SOLR-8208:
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I think that tests' hurdles can be tricked after all. Probably the more itching 
problem is the prohibition to call EmbeddedSolrServer from Solr threads. It's 
just not intended to do such recurrent requests.  Let's address it in SOLR-9101 

> DocTransformer executes sub-queries
> -----------------------------------
>
>                 Key: SOLR-8208
>                 URL: https://issues.apache.org/jira/browse/SOLR-8208
>             Project: Solr
>          Issue Type: Improvement
>          Components: Response Writers
>            Reporter: Mikhail Khludnev
>            Assignee: Mikhail Khludnev
>              Labels: features, newbie
>             Fix For: 6.1, master (7.0)
>
>         Attachments: SOLR-8208.diff, SOLR-8208.patch, SOLR-8208.patch, 
> SOLR-8208.patch, SOLR-8208.patch, SOLR-8208.patch, SOLR-8208.patch, 
> SOLR-8208.patch, SOLR-8208.patch, SOLR-8208.patch, SOLR-8208.patch, 
> SOLR-8208.patch, SOLR-8208.patch, SOLR-8208.patch, SOLR-8208.patch, 
> SOLR-8208.patch, SOLR-8208.patch, SOLR-8208.patch, SOLR-8208.patch
>
>
> The initial idea was to return "from" side of query time join via 
> doctransformer. I suppose it isn't  query-time join specific, thus let to 
> specify any query and parameters for them, let's call it sub-query. But it 
> might be problematic to escape subquery parameters, including local ones, 
> e.g. what if subquery needs to specify own doctransformer in &fl=\[..\] ?
> I suppose we can specify subquery parameter prefix:
> {code}
> ..&q=name_s:john&fl=*,depts:[subquery fromIndex=departments]&
> depts.q={!term f=dept_id_s 
> v=$row.dept_ss_dv}&depts.fl=text_t,dept_id_s_dv&depts.rows=12&depts.sort=id 
> desc
> {code}       
> response is like
> {code}       
> <response>
> ...
>     <result name="response" numFound="1" start="0">
>         <doc>
>             <str name="id">1</str>
>             <str name="name_s_dv">john</str>
> ..
>             <result name="depts" numFound="2" start="0">
>                 <doc>
>                     <str name="dept_id_s_dv">Engineering</str>
>                     <str name="text_t">These guys develop stuff</str>
>                 </doc>
>                 <doc>
>                     <str name="dept_id_s_dv">Support</str>
>                     <str name="text_t">These guys help users</str>
>                 </doc>
>             </result>
>         </doc>
>     </result>
> </response>
> {code}       
> * {{fl=depts:\[subquery]}} executes a separate request for every query result 
> row, and adds it into a document as a separate result list. The given field 
> name (here it's 'depts') is used as a prefix to shift subquery parameters 
> from main query parameter, eg {{depts.q}} turns to {{q}} for subquery, 
> {{depts.rows}} to {{rows}}.
> * document fields are available as implicit parameters with prefix {{row.}} 
> eg. if result document has a field {{dept_id}} it can be referred as 
> {{v=$row.dept_id}} this combines well with \{!terms} query parser   
> * {{separator=','}} is used when multiple field values are combined in 
> parameter. eg. a document has multivalue field {code}dept_ids={2,3}{code}, 
> thus referring to it via {code}..&dept.q={!terms f=id 
> v=$row.dept_ids}&..{code} executes a subquery {code}{!terms f=id}2,3{code}. 
> When omitted  it's a comma. 
> * {{fromIndex=othercore}} optional param allows to run subquery on other 
> core, like it works on query time join
> However, it doesn't work on cloud setup (and will let you know), but it's 
> proposed to use regular params ({{collection}}, {{shards}} - whatever, with 
> subquery prefix as below ) to issue subquery to a collection
> {code}
> q=name_s:dave&indent=true&fl=*,depts:[subquery]&rows=20&
> depts.q={!terms f=dept_id_s v=$row.dept_ss_dv}&depts.fl=text_t&
> depts.indent=true&
> depts.collection=departments&
> depts.rows=10&depts.logParamsList=q,fl,rows,row.dept_ss_dv
> {code}
> Caveat: it should be a way slow; it handles only search result page, not 
> entire result set. 



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