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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:23:16 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 ]
Hyukjin Kwon updated SPARK-10561:
---------------------------------
Labels: bulk-closed tool (was: tool)
> 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
> Priority: Major
> Labels: bulk-closed, tool
>
> 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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