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Posted to issues@spark.apache.org by "Ted Yu (JIRA)" <ji...@apache.org> on 2015/10/07 16:34:27 UTC

[jira] [Updated] (SPARK-10561) Provide tooling for auto-generating Spark SQL reference manual

     [ https://issues.apache.org/jira/browse/SPARK-10561?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Ted Yu updated SPARK-10561:
---------------------------
    Description: 
Here is the discussion thread:
http://search-hadoop.com/m/q3RTtcD20F1o62xE

Richard Hillegas made the following suggestion:


A machine-generated BNF, however, is easy to imagine. But perhaps not so easy to implement. Spark's SQL grammar is implemented in Scala, extending the DSL support provided by the Scala language. I am new to programming in Scala, so I don't know whether the Scala ecosystem provides any good tools for reverse-engineering a BNF from a class which extends scala.util.parsing.combinator.syntactical.StandardTokenParsers.

  was:
Here is the discussion thread:
http://search-hadoop.com/m/q3RTtcD20F1o62xE

Richard Hillegas made the following suggestion:

A machine-generated BNF, however, is easy to imagine. But perhaps not so easy to implement. Spark's SQL grammar is implemented in Scala, extending the DSL support provided by the Scala language. I am new to programming in Scala, so I don't know whether the Scala ecosystem provides any good tools for reverse-engineering a BNF from a class which extends scala.util.parsing.combinator.syntactical.StandardTokenParsers.


> Provide tooling for auto-generating Spark SQL reference manual
> --------------------------------------------------------------
>
>                 Key: SPARK-10561
>                 URL: https://issues.apache.org/jira/browse/SPARK-10561
>             Project: Spark
>          Issue Type: Improvement
>          Components: Documentation, SQL
>            Reporter: Ted Yu
>
> Here is the discussion thread:
> http://search-hadoop.com/m/q3RTtcD20F1o62xE
> Richard Hillegas made the following suggestion:
> A machine-generated BNF, however, is easy to imagine. But perhaps not so easy to implement. Spark's SQL grammar is implemented in Scala, extending the DSL support provided by the Scala language. I am new to programming in Scala, so I don't know whether the Scala ecosystem provides any good tools for reverse-engineering a BNF from a class which extends scala.util.parsing.combinator.syntactical.StandardTokenParsers.



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