我正在尝试将csv文件加载到sparkDataframe中。这就是我目前所做的：

# sc is an SparkContext.
appName = "testSpark"
master = "local"
conf = SparkConf().setAppName(appName).setMaster(master)
sc = SparkContext(conf=conf)
sqlContext = sql.SQLContext(sc)
# csv path
text_file = sc.textFile("hdfs:///path/to/sensordata20171008223515.csv")
df = sqlContext.load(source="com.databricks.spark.csv", header = 'true', path = text_file)
print df.schema()

以下是跟踪：

Traceback (most recent call last):
File "/home/centos/main.py", line 16, in <module>
df = sc.textFile(text_file).map(lambda line: (line.split(';')[0], line.split(';')[1])).collect()
File "/usr/hdp/2.5.6.0-40/spark/python/lib/pyspark.zip/pyspark/context.py", line 474, in textFile
File "/usr/hdp/2.5.6.0-40/spark/python/lib/py4j-0.9-src.zip/py4j/java_gateway.py", line 804, in __call__
File "/usr/hdp/2.5.6.0-40/spark/python/lib/py4j-0.9-src.zip/py4j/protocol.py", line 278, in get_command_part
AttributeError: 'RDD' object has no attribute '_get_object_id'

我是新来的。所以如果有人能告诉我我做错了什么，这会很有帮助。