当尝试使用databricks-connect 13.2.0执行本地spark代码时，它不起作用。
我有以下问题：
错误代码：

• 详细信息= "INVALID_STATE: cluster xxxxx is not Shared or Single User Cluster. (requestId=05bc3105-4828-46d4-a381-7580f3b55416)"
• debug_error_string = "UNKNOWN:Error received from peer {grpc_message:"INVALID_STATE: cluster 0711-122239-bb999j6u is not Shared or Single User Cluster. (requestId=05bc3105-4828-46d4-a381-7580f3b55416)", grpc_status:9, created_time:"2023-07-11T15:26:08.9729+02:00"}"

集群是共享的，我尝试了几个集群配置，但它不工作！集群运行时版本是13.2。
另外，我用途：

• Python 3.10
• openjdk版本“1.8.0_292”
• Azure Databricks

任何人都有一个类似的问题与新的数据库连接？
多谢帮忙！
我尝试了以下代码：

from databricks.connect import DatabricksSession
from pyspark.sql.types import *

from delta.tables import DeltaTable
from datetime import date

if __name__ == "__main__":
    spark = DatabricksSession.builder.getOrCreate()

    # Create a Spark DataFrame consisting of high and low temperatures
    # by airport code and date.
    schema = StructType([
        StructField('AirportCode', StringType(), False),
        StructField('Date', DateType(), False),
        StructField('TempHighF', IntegerType(), False),
        StructField('TempLowF', IntegerType(), False)
    ])

    data = [
        [ 'BLI', date(2021, 4, 3), 52, 43],
        [ 'BLI', date(2021, 4, 2), 50, 38],
        [ 'BLI', date(2021, 4, 1), 52, 41],
        [ 'PDX', date(2021, 4, 3), 64, 45],
        [ 'PDX', date(2021, 4, 2), 61, 41],
        [ 'PDX', date(2021, 4, 1), 66, 39],
        [ 'SEA', date(2021, 4, 3), 57, 43],
        [ 'SEA', date(2021, 4, 2), 54, 39],
        [ 'SEA', date(2021, 4, 1), 56, 41]
    ]

    temps = spark.createDataFrame(data, schema)

    print(temps)

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我希望在5月的本地终端显示与远程Spark执行的框架