如何使用 PySpark 展平嵌套结构？

Question

Link 到数据集 https://drive.google.com/file/d/1-xOpd2B7MDgS1t4ekfipHSerIm6JMz9e/view?usp=sharing

提前致谢。

Answer 1

虽然我同意 Phantoms 的观点，但如果您仍然没有弄明白，那么展平 df 仍然是非常基本的，您可以使用下面的函数展平您的 df

def flattenNestedData(nestedDF):
  from pyspark.sql.functions import col
  from pyspark.sql.types import StructType,ArrayType
  try:
       ##Fetching Complex Datatype Columns from Schema
       fieldNames = dict([(field.name, field.dataType) for field in nestedDF.schema.fields if type(field.dataType) == ArrayType or type(field.dataType) == StructType]) 
       while len(fieldNames)!=0:
         fieldName=list(fieldNames.keys())[0]
         print ("Processing :"+fieldName+" Type : "+str(type(fieldNames[fieldName])))
         if type(fieldNames[fieldName]) == StructType:
           extractedFields = [col(fieldName +'.'+ innerColName).alias(fieldName+"_"+innerColName) for innerColName in [ colName.name for colName in fieldNames[fieldName]]]
           nestedDF=nestedDF.select("*", *extractedFields).drop(fieldName)
    
         elif type(fieldNames[fieldName]) == ArrayType: 
           nestedDF=nestedDF.withColumn(fieldName,explode_outer(fieldName))
    
         fieldNames = dict([(field.name, field.dataType) for field in nestedDF.schema.fields if type(field.dataType) == ArrayType or type(field.dataType) == StructType])   
         
       return nestedDF

      
  except Exception as err:
    raise Exception("Error Occured at while flattening the dataframe : " + str(err))

如果你不想分解那些，你可以删除 Arraytype 检查

如何使用 PySpark 展平嵌套结构？

How to flatten nested struct using PySpark?

python

apache-spark-sql

pyspark

pyspark-schema