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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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org