[SPARK-18148][SQL] Misleading Error Message for Aggregation Without Window/GroupBy

## What changes were proposed in this pull request?

Aggregation Without Window/GroupBy expressions will fail in `checkAnalysis`, the error message is a bit misleading, we should generate a more specific error message for this case.

For example,

```
spark.read.load("/some-data")
  .withColumn("date_dt", to_date($"date"))
  .withColumn("year", year($"date_dt"))
  .withColumn("week", weekofyear($"date_dt"))
  .withColumn("user_count", count($"userId"))
  .withColumn("daily_max_in_week", max($"user_count").over(weeklyWindow))
)
```

creates the following output:

```
org.apache.spark.sql.AnalysisException: expression '`randomColumn`' is neither present in the group by, nor is it an aggregate function. Add to group by or wrap in first() (or first_value) if you don't care which value you get.;
```

In the error message above, `randomColumn` doesn't appear in the query(acturally it's added by function `withColumn`), so the message is not enough for the user to address the problem.
## How was this patch tested?

Manually test

Before:

```
scala> spark.sql("select col, count(col) from tbl")
org.apache.spark.sql.AnalysisException: expression 'tbl.`col`' is neither present in the group by, nor is it an aggregate function. Add to group by or wrap in first() (or first_value) if you don't care which value you get.;;
```

After:

```
scala> spark.sql("select col, count(col) from tbl")
org.apache.spark.sql.AnalysisException: grouping expressions sequence is empty, and 'tbl.`col`' is not an aggregate function. Wrap '(count(col#231L) AS count(col)#239L)' in windowing function(s) or wrap 'tbl.`col`' in first() (or first_value) if you don't care which value you get.;;
```

Also add new test sqls in `group-by.sql`.

Author: jiangxingbo <jiangxb1987@gmail.com>

Closes #15672 from jiangxb1987/groupBy-empty.

0 files changed, 0 insertions, 0 deletions