Convertendo o dataframe do Pandas em erro do Spark dataframe
Estou tentando converter o Pandas DF no Spark one. Cabeça DF:
10000001,1,0,1,12:35,OK,10002,1,0,9,f,NA,24,24,0,3,9,0,0,1,1,0,0,4,543
10000001,2,0,1,12:36,OK,10002,1,0,9,f,NA,24,24,0,3,9,2,1,1,3,1,3,2,611
10000002,1,0,4,12:19,PA,10003,1,1,7,f,NA,74,74,0,2,15,2,0,2,3,1,2,2,691
Código:
dataset = pd.read_csv("data/AS/test_v2.csv")
sc = SparkContext(conf=conf)
sqlCtx = SQLContext(sc)
sdf = sqlCtx.createDataFrame(dataset)
E eu recebi um erro:
TypeError: Can not merge type <class 'pyspark.sql.types.StringType'> and <class 'pyspark.sql.types.DoubleType'>