[SPARK-3378] [DOCS] Replace the word "SparkSQL" with right word "Spark SQL"

Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp>

Closes #2251 from sarutak/SPARK-3378 and squashes the following commits:

0bfe234 [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into SPARK-3378
bb5938f [Kousuke Saruta] Replaced rest of "SparkSQL" with "Spark SQL"
6df66de [Kousuke Saruta] Replaced "SparkSQL" with "Spark SQL"

1 files changed, 3 insertions, 3 deletions

diff --git a/python/pyspark/sql.py b/python/pyspark/sql.py
index aaa35dadc2..e7f573cf6d 100644
--- a/python/pyspark/sql.py
+++ b/python/pyspark/sql.py
@@ -900,7 +900,7 @@ def _create_cls(dataType):
 
 class SQLContext:
 
-    """Main entry point for SparkSQL functionality.
+    """Main entry point for Spark SQL functionality.
 
     A SQLContext can be used create L{SchemaRDD}s, register L{SchemaRDD}s as
     tables, execute SQL over tables, cache tables, and read parquet files.
@@ -946,7 +946,7 @@ class SQLContext:
 
     @property
     def _ssql_ctx(self):
-        """Accessor for the JVM SparkSQL context.
+        """Accessor for the JVM Spark SQL context.
 
         Subclasses can override this property to provide their own
         JVM Contexts.
@@ -1507,7 +1507,7 @@ class SchemaRDD(RDD):
     """An RDD of L{Row} objects that has an associated schema.
 
     The underlying JVM object is a SchemaRDD, not a PythonRDD, so we can
-    utilize the relational query api exposed by SparkSQL.
+    utilize the relational query api exposed by Spark SQL.
 
     For normal L{pyspark.rdd.RDD} operations (map, count, etc.) the
     L{SchemaRDD} is not operated on directly, as it's underlying