We are trying to improve our documentation, and I see a guides that explains how to use these operators is missing. Here are guides for other operators: https://airflow.readthedocs.io/en/latest/howto/operator/index.html
Wouldn't you like to write a guide for this operator? In practice, the guide is an example DAG file + description.

_Originally posted by @mik-laj in https://github.com/apache/airflow/issues/9347#issuecomment-691988305_
airflow/providers/qubole/example_dags/example_qubole.py
task_id='db_export',
        command_type='dbexportcmd',
        mode=1,
        hive_table='default_qubole_airline_origin_destination',
        db_table='exported_airline_origin_destination',
        partition_spec='dt=20110104-02',
        dbtap_id=2064,
    )
    branching >> db_query >> db_export >> join
    db_import = QuboleOperator(
        task_id='db_import',
        command_type='dbimportcmd',
        mode=1,
        hive_table='default_qubole_airline_origin_destination',
        db_table='exported_airline_origin_destination',
        where_clause='id < 10',
        parallelism=2,
        dbtap_id=2064,
    )
    prog = '''
    import scala.math.random
    import org.apache.spark._
    /** Computes an approximation to pi */
    object SparkPi {
      def main(args: Array[String]) {
        val conf = new SparkConf().setAppName("Spark Pi")
        val spark = new SparkContext(conf)
        val slices = if (args.length > 0) args(0).toInt else 2
        val n = math.min(100000L * slices, Int.MaxValue).toInt // avoid overflow
        val count = spark.parallelize(1 until n, slices).map { i =>