要将RDD转换为DataFrame,你可以按照以下步骤进行编程实现: 导入所需的库和模块: 首先,你需要导入pyspark库中的相关模块,例如SparkSession和Row。 python from pyspark.sql import SparkSession from pyspark.sql import Row 创建SparkSession对象: SparkSession是Spark 2.x引入的新概念,它替代了Spark 1.x中的SQLConte...
scala> val peopleDF = spark.createDataFrame(rowRDD, schema) peopleDF: org.apache.spark.sql.DataFrame = [id: string, name: string ... 1 more field] scala> peopleDF.createOrReplaceTempView("people") scala> val results = spark.sql("SELECT id,name,age FROM people") results: org.apache.s...
rowRDD: org.apache.spark.rdd.RDD[org.apache.spark.sql.Row]= MapPartitionsRDD[3] at map at <console>:29scala> val peopleDF =spark.createDataFrame(rowRDD, schema) peopleDF: org.apache.spark.sql.DataFrame= [id:string, name:string...1more field] scala> peopleDF.createOrReplaceTempView("peop...