[error] /home/hadoop/sparkapp/src/main/scala/SimpleApp.scala:38:23: overloaded method value createDataFrame with alternatives: [error] (data: java.util.List[_],beanClass: Class[_])org.apache.spark.sql.DataFrame [error] (rdd: org.apache.s...-DPDK中文网

这个错误提示表明在你的代码中，spark.createDataFrame() 方法的参数类型不匹配。根据错误信息显示，传入的是一个 Seq[Any] 类型和多个元组 (String, Long)。

要解决这个问题，你需要确保 createDataFrame() 方法接受的参数类型与你提供的数据类型一致。检查以下几点：

确保 Seq 中的每个元素都具有相同的类型，并且与目标 DataFrame 的结构相匹配。
确保每个元组 (String, Long) 中分别是一个 String 和一个 Long 类型。

例如，如果你想创建两列 “区间等级” 和 “数量” 的 DataFrame，可以尝试以下代码：

val data = Seq(("总量", PM25_total), ("第一区间", PM25_1), ("第二区间", PM25_2), ("第三区间", PM25_3), ("第四区间", PM25_4), ("第五区间", PM25_5))
val resultDF = spark.createDataFrame(data).toDF("区间等级", "数量")

请根据实际情况调整代码，并确保输入数据类型正确匹配。

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[error] /home/hadoop/sparkapp/src/main/scala/SimpleApp.scala:38:23: overloaded method value createDataFrame with alternatives: [error] (data: java.util.List[_],beanClass: Class[_])org.apache.spark.sql.DataFrame [error] (rdd: org.apache.s...

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