[ 
https://issues.apache.org/jira/browse/SOLR-14614?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Aroop updated SOLR-14614:
-------------------------
    Description: 
For the Data Analytics use cases the standard use case is:
 # Find a pattern
 # Then Aggregate by certain dimensions
 # Then compute metrics (like count, sum, avg)
 # Sort by a dimension or metric
 # look at top-n

This functionality has been available over many different interfaces in the 
past on solr, but only streaming expressions have the ability to deliver 
results in a scalable, performant and stable manner for systems that have large 
data to the tune of Big data systems.

However, one barrier to entry is the query interface, not being simple enough 
in streaming expressions.

This Jira is to track the work of creating a simplified analytics endpoint 
augmenting streaming expressions.

a starting proposal is to have the endpoint have these query parameters:
{code:java}
/analytics?q=*:*&fq=name:alex*&dimensions=age,city&metrics=count&sort=count&sortOrder=desc&limit=10{code}
This is equivalent to a sql that an analyst would write:
{code:java}
select age, city, count(*) from collection where name like 'alex%'
group by age, city order by age desc limit 10;{code}
 

On the solr side this would get translated to the best possible streaming 
expression using _*rollups, top, sort, plist* etc.; b_ut all done transparently 
to the user.

 

 

  was:
For the Data Analytics use cases the standard use case is:
 # Find a pattern
 # Then Aggregate by certain dimensions
 # Then compute metrics (like count, sum, avg)
 # Sort by a dimension or metric
 # look at top-n

This functionality has been available over many different interfaces in the 
past on solr, but only streaming expressions have the ability to deliver 
results in a scalable, performant and stable manner for systems that have large 
data to the tune of Big data systems.

However, one barrier to entry is the query interface, not being simple enough 
in streaming expressions.

This Jira is to track the work of creating a simplified analytics endpoint 
augmenting streaming expressions.

a starting proposal is to have the endpoint have these query parameters:
{code:java}
/analytics&q=*:*&fq=name:alex*&dimensions=age,city&metrics=count&sort=count&sortOrder=desc&limit=10{code}
This is equivalent to a sql that an analyst would write:
{code:java}
select age, city, count(*) from collection where name like 'alex%'
group by age, city order by age desc limit 10;{code}
 

On the solr side this would get translated to the best possible streaming 
expression using _*rollups, top, sort, plist* etc.; b_ut all done transparently 
to the user.

 

 


> Add Simplified Aggregation Interface to Streaming Expression
> ------------------------------------------------------------
>
>                 Key: SOLR-14614
>                 URL: https://issues.apache.org/jira/browse/SOLR-14614
>             Project: Solr
>          Issue Type: Improvement
>      Security Level: Public(Default Security Level. Issues are Public) 
>          Components: query, query parsers, streaming expressions
>    Affects Versions: 7.7.2, 8.4.1
>            Reporter: Aroop
>            Priority: Major
>
> For the Data Analytics use cases the standard use case is:
>  # Find a pattern
>  # Then Aggregate by certain dimensions
>  # Then compute metrics (like count, sum, avg)
>  # Sort by a dimension or metric
>  # look at top-n
> This functionality has been available over many different interfaces in the 
> past on solr, but only streaming expressions have the ability to deliver 
> results in a scalable, performant and stable manner for systems that have 
> large data to the tune of Big data systems.
> However, one barrier to entry is the query interface, not being simple enough 
> in streaming expressions.
> This Jira is to track the work of creating a simplified analytics endpoint 
> augmenting streaming expressions.
> a starting proposal is to have the endpoint have these query parameters:
> {code:java}
> /analytics?q=*:*&fq=name:alex*&dimensions=age,city&metrics=count&sort=count&sortOrder=desc&limit=10{code}
> This is equivalent to a sql that an analyst would write:
> {code:java}
> select age, city, count(*) from collection where name like 'alex%'
> group by age, city order by age desc limit 10;{code}
>  
> On the solr side this would get translated to the best possible streaming 
> expression using _*rollups, top, sort, plist* etc.; b_ut all done 
> transparently to the user.
>  
>  



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