lucene-dev mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Joel Bernstein (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SOLR-13105) A visual guide to Solr Math Expressions and Streaming Expressions
Date Mon, 08 Apr 2019 16:14:00 GMT

     [ https://issues.apache.org/jira/browse/SOLR-13105?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Joel Bernstein updated SOLR-13105:
----------------------------------
    Description: 
Visualization is now a fundamental element of Solr Streaming Expressions and Math Expressions.
This ticket will create a visual guide to Solr Math Expressions and Solr Streaming Expressions
that includes *Apache Zeppelin* visualization examples.

It will also cover using the JDBC expression to *analyze* and *visualize* results from any
JDBC compliant data source.

Intro from the guide:
{code:java}
Streaming Expressions exposes the capabilities of Solr Cloud as composable functions. These
functions provide a system for searching, transforming, analyzing and visualizing data stored
in Solr Cloud collections.

At a high level there a four main capabilities that will be explored in the documentation:

* Searching, sampling and aggregating results from Solr.

* Transforming result sets after they are retrieved from Solr.

* Analyzing and modeling result sets using probability and statistics and machine learning
libraries.

* Visualizing result sets, aggregations and statistical models of the data.
{code}
 

A few sample visualizations are attached the ticket.

  was:
Visualization is now a fundamental element of Solr Streaming Expressions and Math Expressions.
This ticket will create a visual guide to Solr Math Expressions and Solr Streaming Expressions
that includes *Apache Zeppelin* visualization examples.

It will also cover using the JDBC expression to *analyze* and *visualize* results from any
JDBC compliant data source.

Intro from the guide:
{code:java}
Streaming Expressions exposes the capabilities of Solr Cloud as composable functions. These
functions provide a system for 
searching, transforming, analyzing and visualizing data stored in Solr Cloud collections.

At a high level there a four main capabilities that will be explored in the documentation:

* Searching, sampling and aggregating results from Solr.

* Transforming result sets after they are retrieved from Solr.

* Analyzing and modeling result sets using probability and statistics and machine learning
libraries.

* Visualizing result sets, aggregations and statistical models of the data.
{code}
 

A few sample visualizations are attached the ticket.


> A visual guide to Solr Math Expressions and Streaming Expressions
> -----------------------------------------------------------------
>
>                 Key: SOLR-13105
>                 URL: https://issues.apache.org/jira/browse/SOLR-13105
>             Project: Solr
>          Issue Type: New Feature
>      Security Level: Public(Default Security Level. Issues are Public) 
>            Reporter: Joel Bernstein
>            Assignee: Joel Bernstein
>            Priority: Major
>         Attachments: Screen Shot 2019-01-14 at 10.56.32 AM.png, Screen Shot 2019-02-21
at 2.14.43 PM.png, Screen Shot 2019-03-03 at 2.28.35 PM.png, Screen Shot 2019-03-04 at 7.47.57
PM.png, Screen Shot 2019-03-13 at 10.47.47 AM.png, Screen Shot 2019-03-30 at 6.17.04 PM.png
>
>
> Visualization is now a fundamental element of Solr Streaming Expressions and Math Expressions.
This ticket will create a visual guide to Solr Math Expressions and Solr Streaming Expressions
that includes *Apache Zeppelin* visualization examples.
> It will also cover using the JDBC expression to *analyze* and *visualize* results from
any JDBC compliant data source.
> Intro from the guide:
> {code:java}
> Streaming Expressions exposes the capabilities of Solr Cloud as composable functions.
These functions provide a system for searching, transforming, analyzing and visualizing data
stored in Solr Cloud collections.
> At a high level there a four main capabilities that will be explored in the documentation:
> * Searching, sampling and aggregating results from Solr.
> * Transforming result sets after they are retrieved from Solr.
> * Analyzing and modeling result sets using probability and statistics and machine learning
libraries.
> * Visualizing result sets, aggregations and statistical models of the data.
> {code}
>  
> A few sample visualizations are attached the ticket.



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

---------------------------------------------------------------------
To unsubscribe, e-mail: dev-unsubscribe@lucene.apache.org
For additional commands, e-mail: dev-help@lucene.apache.org


Mime
View raw message