Pyspark DataFrame中字符串列的拆分内容

Question

i有一个pyspark数据框架，其列包含字符串。我想将此列分为单词

代码：

>>> sentenceData = sqlContext.read.load('file://sample1.csv', format='com.databricks.spark.csv', header='true', inferSchema='true')
>>> sentenceData.show(truncate=False)
+---+---------------------------+
|key|desc                       |
+---+---------------------------+
|1  |Virat is good batsman      |
|2  |sachin was good            |
|3  |but modi sucks big big time|
|4  |I love the formulas        |
+---+---------------------------+

Expected Output
---------------
>>> sentenceData.show(truncate=False)
+---+-------------------------------------+
|key|desc                                 |
+---+-------------------------------------+
|1  |[Virat,is,good,batsman]              |
|2  |[sachin,was,good]                    |
|3  |....                                 |
|4  |...                                  |
+---+-------------------------------------+

我该如何实现？

Answer 1

使用split函数：

from pyspark.sql.functions import split
df.withColumn("desc", split("desc", "s+"))