我在Python2.7和Spark 1.6.1中使用PySpark。from pyspark.sql.functions import split, explode
DF = sqlContext.createDataFrame([('cat \n\n elephantresolve 'explode(word)' due to data type mismatch: input to function explode should be array or
在spark dataframe中,我有1列,其中包含列表列表作为行。我想将字符串列表合并为一个。+-------+--------------------++-------+--------------------++-------+--------------------+
| Bill |[["E","A"]["F"
import * from pyspark.sql.functions import * from pyspark.sql import functions as F from pyspark.sql.functionsjson("C:\Workspace\student1.json").cache() df.show() df.printSchema() df.withColumn("Department", explode(col("Department&q
我目前正在处理以下错误,同时试图在pyspark.sql.functions.explode中的DataFrame中的数组列上运行PySpark。(lot)' due to data type mismatch: input to function explode should be array or map type, not LongType(df.list))from pyspark.sql import functions as sf
# create duplicate