code review

dev/.rat-excludes

@@ -99,5 +99,4 @@ spark-deps-.*
 .*tsv
 org.apache.spark.scheduler.ExternalClusterManager
 .*\.sql
-.*\.sql\.out
 .Rbuildignore

sql/core/src/test/resources/sql-tests/results/number-format.sql.out

@@ -5,46 +5,30 @@
 -- !query 0
 select 1, -1
 -- !query 0 schema
-int, int
+struct<1:int,(-1):int>
 -- !query 0 output
-+---+----+
-|  1|(-1)|
-+---+----+
-|  1|  -1|
-+---+----+
+1	-1
 
 
 -- !query 1
 select 2147483648, -2147483649
 -- !query 1 schema
-bigint, bigint
+struct<2147483648:bigint,(-2147483649):bigint>
 -- !query 1 output
-+----------+-------------+
-|2147483648|(-2147483649)|
-+----------+-------------+
-|2147483648|  -2147483649|
-+----------+-------------+
+2147483648	-2147483649
 
 
 -- !query 2
 select 9223372036854775808, -9223372036854775809
 -- !query 2 schema
-decimal(19,0), decimal(19,0)
+struct<9223372036854775808:decimal(19,0),(-9223372036854775809):decimal(19,0)>
 -- !query 2 output
-+-------------------+----------------------+
-|9223372036854775808|(-9223372036854775809)|
-+-------------------+----------------------+
-|9223372036854775808|  -9223372036854775809|
-+-------------------+----------------------+
+9223372036854775808	-9223372036854775809
 
 
 -- !query 3
 select 0.3, -0.8, .5, -.18
 -- !query 3 schema
-decimal(1,1), decimal(1,1), decimal(1,1), decimal(2,2)
+struct<0.3:decimal(1,1),(-0.8):decimal(1,1),0.5:decimal(1,1),(-0.18):decimal(2,2)>
 -- !query 3 output
-+---+------+---+-------+
-|0.3|(-0.8)|0.5|(-0.18)|
-+---+------+---+-------+
-|0.3|  -0.8|0.5|  -0.18|
-+---+------+---+-------+
+0.3	-0.8	0.5	-0.18

sql/core/src/test/scala/org/apache/spark/sql/SQLQueryTestSuite.scala

@@ -124,8 +124,8 @@ class SQLQueryTestSuite extends QueryTest with SharedSQLContext {
       // We might need to do some query canonicalization in the future.
       QueryOutput(
         sql = sql,
-        schema = df.schema.map(_.dataType.simpleString).mkString(", "),
-        output = df.showString(_numRows = 10000, truncate = 10000).trim)
+        schema = df.schema.catalogString,
+        output = df.queryExecution.hiveResultString().mkString("\n"))
     }
 
     if (regenerateGoldenFiles) {