Merge pull request #109248 from djpmsft/docUpdates

join typo

Author: PRMerger13

articles/data-factory/data-flow-join.md

@@ -27,7 +27,7 @@ Inner join only outputs rows that have matching values in both tables.
 Left outer join returns all rows from the left stream and matched records from the right stream. If a row from the left stream has no match, the output columns from the right stream are set to NULL. The output will be the rows returned by an inner join plus the unmatched rows from the left stream.
 
 > [!NOTE]
-> The Spark engine used by Data Flows will occasionally possible cartesian products in your join conditions. When that is the case, you can switch to a custom cross join and manually enter your join condition. This may result in slower performance in your data flows as the execution engine may need to calculate all rows from both sides of the relationship and then filter rows.
+> The Spark engine used by data flows will occasionally fail due to possible cartesian products in your join conditions. If this occurs, you can switch to a custom cross join and manually enter your join condition. This may result in slower performance in your data flows as the execution engine may need to calculate all rows from both sides of the relationship and then filter rows.
 
 ### Right Outer
 
@@ -101,11 +101,11 @@ The data flow script for this transformation is in the snippet below:
 TripData, TripFare
     join(
         hack_license == { hack_license}
-    	&& TripData@medallion == TripFare@medallion
-    	&& vendor_id == { vendor_id}
-    	&& pickup_datetime == { pickup_datetime},
-    	joinType:'inner',
-    	broadcast: 'left'
+        && TripData@medallion == TripFare@medallion
+        && vendor_id == { vendor_id}
+        && pickup_datetime == { pickup_datetime},
+        joinType:'inner',
+        broadcast: 'left'
     )~> JoinMatchedData
 ```
 
@@ -123,7 +123,7 @@ The data flow script for this transformation is in the snippet below:
 LeftStream, RightStream
     join(
         leftstreamcolumn > rightstreamcolumn,
-	    joinType:'cross',
+        joinType:'cross',
         broadcast: 'none'
     )~> JoiningColumns
 ```