[SPARK-15230][SQL] distinct() does not handle column name with dot properly

## What changes were proposed in this pull request?

When table is created with column name containing dot, distinct() will fail to run. For example,
```scala
val rowRDD = sparkContext.parallelize(Seq(Row(1), Row(1), Row(2)))
val schema = StructType(Array(StructField("column.with.dot", IntegerType, nullable = false)))
val df = spark.createDataFrame(rowRDD, schema)
```
running the following will have no problem:
```scala
df.select(new Column("`column.with.dot`"))
```
but running the query with additional distinct() will cause exception:
```scala
df.select(new Column("`column.with.dot`")).distinct()
```

The issue is that distinct() will try to resolve the column name, but the column name in the schema does not have backtick with it. So the solution is to add the backtick before passing the column name to resolve().

## How was this patch tested?

Added a new test case.

Author: bomeng <bmeng@us.ibm.com>

Closes #13140 from bomeng/SPARK-15230.