[SPARK-15270] [SQL] Use SparkSession Builder to build a session with HiveSupport

## What changes were proposed in this pull request?
Before:
Creating a hiveContext was failing
```python
from pyspark.sql import HiveContext
hc = HiveContext(sc)
```
with
```
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "spark-2.0/python/pyspark/sql/context.py", line 458, in __init__
    sparkSession = SparkSession.withHiveSupport(sparkContext)
  File "spark-2.0/python/pyspark/sql/session.py", line 192, in withHiveSupport
    jsparkSession = sparkContext._jvm.SparkSession.withHiveSupport(sparkContext._jsc.sc())
  File "spark-2.0/python/lib/py4j-0.9.2-src.zip/py4j/java_gateway.py", line 1048, in __getattr__
py4j.protocol.Py4JError: org.apache.spark.sql.SparkSession.withHiveSupport does not exist in the JVM
```

Now:
```python
>>> from pyspark.sql import HiveContext
>>> hc = HiveContext(sc)
>>> hc.range(0, 100)
DataFrame[id: bigint]
>>> hc.range(0, 100).count()
100
```
## How was this patch tested?
Existing Tests, tested manually in python shell

Author: Sandeep Singh <sandeep@techaddict.me>

Closes #13056 from techaddict/SPARK-15270.