当字典具有不同的键时，将Python字典合并到Spark数据帧中

# 导入必要的库
from pyspark.sql import SparkSession
from pyspark.sql.functions import lit

# 创建SparkSession
spark = SparkSession.builder.getOrCreate()

# 定义Python字典
python_dict = {'key1': 'value1', 'key2': 'value2', 'key3': 'value3'}

# 将Python字典转换为Spark数据帧
df_dict = spark.createDataFrame([(k, v) for k, v in python_dict.items()], ['key', 'value'])

# 创建另一个数据帧
df_other = spark.createDataFrame([(1, 'A'), (2, 'B'), (3, 'C')], ['id', 'letter'])

# 将两个数据帧合并在一起
df_merged = df_dict.join(df_other, df_dict.key == df_other.id, 'outer').drop('id')

# 显示合并后的数据帧
df_merged.show()