将列表的RDD转换为Dataframe

Question

我正在尝试将RDD列表转换为DataframeSpark中的列表.

RDD:

['ABC', 'AA', 'SSS', 'color-0-value', 'AAAAA_VVVV0-value_1', '1', 'WARNING', 'No test data for negative population! Re-using negative population for non-backtest.']
['ABC', 'SS', 'AA', 'color-0-SS', 'GG0-value_1', '1', 'Temp', 'After, date differences are outside tolerance (10 days) 95.1% of the time']

这是RDD多个列表的内容.

如何将其转换为数据帧？目前,它正在将其转换为单列,但我需要多列.

Dataframe
+--------------+
|            _1|
+--------------+
|['ABC', 'AA...|
|['ABC', 'SS...|

Answer 1

只需使用Row.fromSeq:

import org.apache.spark.sql.Row

rdd.map(x => Row.fromSeq(x)).toDF