Bagaimana cara membuat dataframe dari daftar di Spark SQL?

from pyspark.sql.types import *

cSchema = StructType([StructField("WordList", ArrayType(StringType()))])

# notice extra square brackets around each element of list 
test_list = [['Hello', 'world']], [['I', 'am', 'fine']]

df = spark.createDataFrame(test_list,schema=cSchema) 

from pyspark.sql.types import *

cSchema = StructType([StructField("Words", StringType())\
                      ,StructField("total", IntegerType())])

test_list = [['Hello', 1], ['I am fine', 3]]

df = spark.createDataFrame(test_list,schema=cSchema) 

 df.show()
 +---------+-----+
|    Words|total|
+---------+-----+
|    Hello|    1|
|I am fine|    3|
+---------+-----+

   You can create a RDD first from the input and then convert to dataframe from the constructed RDD
   <code>  
     import sqlContext.implicits._
       val testList = Array(Array("Hello", "world"), Array("I", "am", "fine"))
       // CREATE RDD
       val testListRDD = sc.parallelize(testList)
     val flatTestListRDD = testListRDD.flatMap(entry => entry)
     // COnvert RDD to DF 
     val testListDF = flatTestListRDD.toDF
     testListDF.show
    </code>