jiangxingbo 16590030c1 [SPARK-17741][SQL] Grammar to parse top level and nested data fields separately ... ## What changes were proposed in this pull request? Currently we use the same rule to parse top level and nested data fields. For example: ``` create table tbl_x( id bigint, nested struct<col1:string,col2:string> ) ``` Shows both syntaxes. In this PR we split this rule in a top-level and nested rule. Before this PR, ``` sql("CREATE TABLE my_tab(column1: INT)") ``` works fine. After this PR, it will throw a `ParseException`: ``` scala> sql("CREATE TABLE my_tab(column1: INT)") org.apache.spark.sql.catalyst.parser.ParseException: no viable alternative at input 'CREATE TABLE my_tab(column1:'(line 1, pos 27) ``` ## How was this patch tested? Add new testcases in `SparkSqlParserSuite`. Author: jiangxingbo <jiangxb1987@gmail.com> Closes #15346 from jiangxb1987/cdt.		2016-10-09 22:00:54 -07:00
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main	[SPARK-17761][SQL] Remove MutableRow	2016-10-07 14:03:45 -07:00
test	[SPARK-17741][SQL] Grammar to parse top level and nested data fields separately	2016-10-09 22:00:54 -07:00