Scala Spark DataFrame-每行总和数组的内容[double]

Question

这是我的基本dataFrame：

root |-- user_id: string (nullable = true) 
     |-- review_id: string (nullable = true) 
     |-- review_influence: double (nullable = false)

目标是为每个user_id提供评论_influence的总和。因此，我试图汇总数据并这样总结：

val review_influence_listDF = review_with_influenceDF
.groupBy("user_id")
.agg(collect_list("review_id") as("list_review_id"), collect_list("review_influence") as ("list_review_influence"))
.agg(sum($"list_review_influence"))

但是我有一个错误：

org.apache.spark.sql.AnalysisException: cannot resolve 'sum(`list_review_influence`)' due to data type mismatch: function sum requires numeric types, not ArrayType(DoubleType,true);;

我该怎么办？

Answer 1

您可以在agg函数中直接总和列：

review_with_influenceDF
    .groupBy("user_id")
    .agg(collect_list($"review_id").as("list_review_id"), 
         sum($"review_influence").as("sum_review_influence"))