我无法将我的数据框导出为CSV文件。显示的消息是“CSV数据源不支持数组”。

predictions.write.option(“delimiter”, “\t”).csv(“/mnt/classification2018/testpredic2”)

我尝试了这个命令，但连接后没有成功

from pyspark.sql.functions import concat_wspredictions.withColumn("probability", concat_ws(",", "probability")).show()

日志错误

/databricks/spark/python/pyspark/sql/utils.py in deco(*a, **kw)     61     def deco(*a, **kw):     62         try:---> 63             return f(*a, **kw)     64         except py4j.protocol.Py4JJavaError as e:     65             s = e.java_exception.toString()/databricks/spark/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)    326                 raise Py4JJavaError(    327                     "An error occurred while calling {0}{1}{2}.\n".--> 328                     format(target_id, ".", name), value)    329             else:    330                 raise Py4JError(Py4JJavaError: An error occurred while calling o1472.csv.: java.lang.UnsupportedOperationException: CSV数据源不支持array<string>数据类型。    at org.apache.spark.sql.execution.datasources.csv.CSVUtils$.org$apache$spark$sql$execution$datasources$csv$CSVUtils$$verifyType$1(CSVUtils.scala:127) 

回答：

将列转换为字符串类型并写入CSV文件

from pyspark.sql.functions import colpredictions = predictions.withColumn("probability", col("probability").cast("string))predictions.write.option("delimiter", "\t").csv("/mnt/classification2018/testpredic2")