将kafka消息转换为dataframe时，将包作为参数传递时出错。

from pyspark.sql import SparkSession, Row
from pyspark.context import SparkContext
from kafka import KafkaConsumer
import os

os.environ['PYSPARK_SUBMIT_ARGS'] = '--packages org.apache.spark:spark-sql-kafka-0-10_2.11:2.2.0.jar: org.apache.spark:spark-streaming-kafka-0-8-assembly_2.11:jar:2.1.1 pyspark-shell'pyspark-shell'

sc = SparkContext.getOrCreate()
spark = SparkSession(sc)

df = spark \
  .read \
  .format("kafka") \
  .option("kafka.bootstrap.servers", "localhost:9092") \
  .option("subscribe", "Jim_Topic") \
  .load()
df.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)")

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::          UNRESOLVED DEPENDENCIES         ::

    ::::::::::::::::::::::::::::::::::::::::::::::

    :: org.apache.spark#spark-sql-kafka-0-10_2.11;2.2.0.jar: not found

    ::::::::::::::::::::::::::::::::::::::::::::::