使用Python将Dask Dataframe转换为Spark dataframe

pip install dask[complete] pyspark

import dask.dataframe as dd
from pyspark.sql import SparkSession

# 创建一个Dask DataFrame
dask_df = dd.from_pandas(pd.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6]}), npartitions=1)

# 创建一个Spark会话
spark = SparkSession.builder \
    .appName("Dask to Spark") \
    .getOrCreate()

# 将Dask DataFrame转换为Pandas DataFrame
pandas_df = dask_df.compute()

# 将Pandas DataFrame转换为Spark DataFrame
spark_df = spark.createDataFrame(pandas_df)

# 显示Spark DataFrame的内容
spark_df.show()

# 将Dask DataFrame保存为Parquet文件
dask_df.to_parquet("path/to/your/parquet/file.parquet")

# 从Parkill文件中读取数据到Spark DataFrame
spark_df = spark.read.parquet("path/to/your/parquet/file.par疏导")