You are viewing a plain text version of this content. The canonical link for it is here.
Posted to reviews@spark.apache.org by dilipbiswal <gi...@git.apache.org> on 2018/10/04 05:52:51 UTC

[GitHub] spark pull request #20433: [SPARK-23264][SQL] Make INTERVAL keyword optional...

Github user dilipbiswal commented on a diff in the pull request:

    https://github.com/apache/spark/pull/20433#discussion_r222544245
  
    --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala ---
    @@ -335,6 +335,12 @@ object SQLConf {
         .booleanConf
         .createWithDefault(true)
     
    +  val ANSI_SQL_PARSER =
    --- End diff --
    
    @maropu Isn't this config too generic ? When this is set to true, can we confidently say that we follow ANSI standard in all other rules ? I don't know if DDLs are part of standard or not. If they are, then we may not be ansi compliant , right ?


---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org