[SPARK-14471][SQL] Aliases in SELECT could be used in GROUP BY

## What changes were proposed in this pull request?
This pr added a new rule in `Analyzer` to resolve aliases in `GROUP BY`.
The current master throws an exception if `GROUP BY` clauses have aliases in `SELECT`;
```
scala> spark.sql("select a a1, a1 + 1 as b, count(1) from t group by a1")
org.apache.spark.sql.AnalysisException: cannot resolve '`a1`' given input columns: [a]; line 1 pos 51;
'Aggregate ['a1], [a#83L AS a1#87L, ('a1 + 1) AS b#88, count(1) AS count(1)#90L]
+- SubqueryAlias t
   +- Project [id#80L AS a#83L]
      +- Range (0, 10, step=1, splits=Some(8))

  at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)
  at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:77)
  at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:74)
  at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:289)
```

## How was this patch tested?
Added tests in `SQLQuerySuite` and `SQLQueryTestSuite`.

Author: Takeshi Yamamuro <yamamuro@apache.org>

Closes #17191 from maropu/SPARK-14471.