在检查了所有源代码后发现，cassandra连接器支持在cassandra中用scala和java中的rdd自动创建表。对于pyspark，可以使用另一个包来执行此任务--https://github.com/anguenot/pyspark-cassandra. 但即使使用这个包也无法自动创建表。对于dataframe，我没有找到任何选择。我是pyspark和cassandra的新手，非常感谢您的帮助。也尝试只使用anguenot包作为依赖项。spark版本：2.4.7Cassandra：最新docker图片

Pyspark shell >> pyspark --packages anguenot/pyspark-cassandra:2.4.0,com.datastax.spark:spark-cassandra-connector_2.11:2.5.1
>>> spark = SparkSession.builder.master('local[*]').appName('cassandra').config("spark.cassandra.connection.host", "ip").config("spark.cassandra.connection.port", "port").config("spark.cassandra.auth.username", "username").config("spark.cassandra.auth.password", "password").getOrCreate()
>>> from datetime import datetime
>>> rdd = sc.parallelize([{
...     "key": k,
...     "stamp": datetime.now(),
...     "tags": ["a", "b", "c"],
...     "options": {
...             "foo": "bar",
...             "baz": "qux",
...     }
... } for k in ["x", "y", "z"]])

>>> rdd.saveToCassandra("test", "testTable")
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
AttributeError: 'RDD' object has no attribute 'saveToCassandra'