To take the use case a step further, notice from the sample PySpark code below that you have the option select the content from a CSV file and write it to an Excel file with the help of the Spark Excel Maven library. csv.select("*").write.format('com.crealytics.spark.excel')...
() data = spark.read.option("multiLine", "true").json(input_path) data.select(['ProductionStartedData', 'ProgressDataList', 'name']).rdd.flatMap( lambda x: parser(x[0], x[1], x[2])).toDF(schema=schema).repartition(partition_nums).write.mode('append').csv( output_path, ...
使用pyspark rdd分割misshappen csv文件电子病历内存异常错误我认为您的内存问题是因为您正在使用python代码...
Process Common Crawl data with Python and Spark. Contribute to ihor-nahuliak/cc-pyspark development by creating an account on GitHub.