[spark-df] sending schema info to Cloud results in errors about soda-core HOT 3 CLOSED

...
spark_session = SparkSession.builder.master("local").appName("test").getOrCreate()
df = spark_session.createDataFrame(
    data=[{"id": "1", "name": "John Doe", "email": "[email protected]"}],
    schema=types.StructType(
        [
            types.StructField("id", types.StringType()),
            types.StructField("name", types.StringType()),
            types.StructField("email", types.StringType()),
        ]
    ),
)
df.createOrReplaceTempView("users")

scan = Scan()
...

Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
22/11/20 14:16:50 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
root
 |-- col_name: string (nullable = false)
 |-- data_type: string (nullable = false)
 |-- comment: string (nullable = true)

+--------+---------+-------+
|col_name|data_type|comment|
+--------+---------+-------+
|      id|   string|   null|
|    name|   string|   null|
|   email|   string|   null|
+--------+---------+-------+
INFO   | Soda Core 3.0.13
DEBUG  | Reading configuration file "sodacl_spark_df/configuration.yml"
...
INFO   | Oops! 1 failures. 0 warnings. 0 errors. 0 pass.
INFO   | Sending results to Soda Cloud