code: def test_streaming_foreach_batch_fuction_calling(self):
      def my_test_function_3():
          return 3
  
      table_name = "testTable_foreach_batch_function"
  
      def func(df: DataFrame, batch_id: int):
          if batch_id > 0:  # only process once
              return
          spark = df.sparkSession
          df1 = spark.createDataFrame(
              [
                  (my_test_function_1(),),
                  (
                      StreamingTestsForeachBatchMixin.my_test_function_2(),
                  ),
                  (my_test_function_3(),),
              ]
          )
          df1.write.mode("append").saveAsTable(table_name)
  
      df = self.spark.readStream.format("rate").load()
      q = df.writeStream.foreachBatch(func).start()
      q.processAllAvailable()
      q.stop()
  
      actual = self.spark.read.table(table_name)
      df = self.spark.createDataFrame(
          [
              (my_test_function_1(),),
              (StreamingTestsForeachBatchMixin.my_test_function_2(),),
              (my_test_function_3(),),
          ]
      )
      self.assertEqual(sorted(df.collect()), sorted(actual.collect()))
  
file_path: spark/python/pyspark/sql/tests/streaming/test_streaming_foreach_batch.py
imports: import time
  from pyspark.sql.dataframe import DataFrame
  from pyspark.testing.sqlutils import ReusedSQLTestCase
label_desc: Use image node_id 8 for calling the StreamingTestsForeachBatchMixin obj's underlying member method code with example usage: obj.test_streaming_foreach_batch_fuction_calling() and returns: int