[GitHub] [spark] xinrong-meng opened a new pull request, #38778: [SPARK-41227][CONNECT][PYTHON] Implement `DataFrame.crossJoin`

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xinrong-meng opened a new pull request, #38778:
URL: https://github.com/apache/spark/pull/38778

   ### What changes were proposed in this pull request?
   Implement `DataFrame.crossJoin` for Spark Connect.
   
   ### Why are the changes needed?
   Part of [SPARK-39375](https://issues.apache.org/jira/browse/SPARK-39375).
   
   ### Does this PR introduce _any_ user-facing change?
   Yes. Spark Connect users can use `DataFrame.crossJoin` as below:
   
   ```py
   >>> from pyspark.sql.connect.client import RemoteSparkSession
   >>> cspark = RemoteSparkSession()
   >>> df = cspark.range(1, 3)
   >>> df.crossJoin(df).show()
   +---+---+
   | id| id|
   +---+---+
   |  1|  1|
   |  1|  2|
   |  2|  1|
   |  2|  2|
   +---+---+
   
   >>> df.crossJoin(df)._plan.to_proto(cspark)
   root {
     join {
       left {
         range {
           start: 1
           end: 3
           step: 1
         }
       }
       right {
         range {
           start: 1
           end: 3
           step: 1
         }
       }
       join_type: JOIN_TYPE_CROSS
     }
   }
   ```
   
   ### How was this patch tested?
   Unit tests.


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