[jira] [Created] (SOLR-13958) Computing on the language: Streaming Expressions phase II

["Joel Bernstein (Jira)" <ji...@apache.org>]

Joel Bernstein created SOLR-13958:
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             Summary: Computing on the language: Streaming Expressions phase II
                 Key: SOLR-13958
                 URL: https://issues.apache.org/jira/browse/SOLR-13958
             Project: Solr
          Issue Type: Improvement
      Security Level: Public (Default Security Level. Issues are Public)
          Components: streaming expressions
            Reporter: Joel Bernstein


*Phase I* of Streaming Expressions and Math Expressions is coming to an end. The goal of this phase was to build a superior tool for analyzing and visualizing data. The [Visual Guide to Streaming Expressions and Math expressions|[https://bitly.com/32srTpA]] is designed to show the power of combining a composable streaming and mathematics language with a search engine.

In *Phase II*  we will turn this power onto the language itself. This will happen with the following steps:

a) Streaming Expressions and Math Expressions will become a Stream Source containing information about the language itself. Reference documentations, visualization links,  categories and other meta-data will be added to the functions themselves. And stream sources will be developed that stream this information so that it can be operated on by the full power of the language.

b) A computable, searchable Reference Guide will flow from this as the streams of meta-data from the functions can be indexed to Solr Cloud collections. The full power of Streaming Expressions and Math Expressions can then also be used to visualize, analyze and model the Reference Guide.

c) Complete programs will also become Stream Sources. A *parse* Stream will parse entire expressions and stream back each function in the expression along with it's meta-data. This allows complex programs to be decomposed and understood easily and indexed into Solr Cloud collections.

d) Mathematical models in Math Expressions can then be applied to the decomposed expressions that are saved in Solr Cloud indexes to predict the next function a user wants, and recommend alternative functions. The language begins to write itself.

 

 

 

 

 

 

 

 



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