[SPARK-19239][PYSPARK] Check parameters whether equals None when specify the column in jdbc API

## What changes were proposed in this pull request?

The `jdbc` API do not check the `lowerBound` and `upperBound` when we
specified the ``column``, and just throw the following exception:

>```int() argument must be a string or a number, not 'NoneType'```

If we check the parameter, we can give a more friendly suggestion.

## How was this patch tested?
Test using the pyspark shell, without the lowerBound and upperBound parameters.

Author: DjvuLee <lihu@bytedance.com>

Closes apache#16599 from djvulee/pysparkFix.

Author: DjvuLee

python/pyspark/sql/readwriter.py

@@ -399,7 +399,8 @@ def jdbc(self, url, table, column=None, lowerBound=None, upperBound=None, numPar
         accessible via JDBC URL ``url`` and connection ``properties``.
 
         Partitions of the table will be retrieved in parallel if either ``column`` or
-        ``predicates`` is specified.
+        ``predicates`` is specified. ``lowerBound`, ``upperBound`` and ``numPartitions``
+        is needed when ``column`` is specified.
 
         If both ``column`` and ``predicates`` are specified, ``column`` will be used.
 
@@ -429,8 +430,10 @@ def jdbc(self, url, table, column=None, lowerBound=None, upperBound=None, numPar
         for k in properties:
             jprop.setProperty(k, properties[k])
         if column is not None:
-            if numPartitions is None:
-                numPartitions = self._spark._sc.defaultParallelism
+            assert lowerBound is not None, "lowerBound can not be None when ``column`` is specified"
+            assert upperBound is not None, "upperBound can not be None when ``column`` is specified"
+            assert numPartitions is not None, \
+                "numPartitions can not be None when ``column`` is specified"
             return self._df(self._jreader.jdbc(url, table, column, int(lowerBound), int(upperBound),
                                                int(numPartitions), jprop))
         if predicates is not None: