使用来自json数组的java spark sql将表保存在hive中

Question

    Dataset<Row> ds = spark.read().option("multiLine", true).option("mode", "PERMISSIVE").json("/user/administrador/prueba_diario.txt").toDF();

    ds.printSchema();

    Dataset<Row> ds2 = ds.select("articles").toDF();

    ds2.printSchema();
    spark.sql("drop table if exists table1"); 
    ds2.write().saveAsTable("table1");

我有这个json格式

root
 |-- articles: array (nullable = true)
 |    |-- element: struct (containsNull = true)
 |    |    |-- author: string (nullable = true)
 |    |    |-- content: string (nullable = true)
 |    |    |-- description: string (nullable = true)
 |    |    |-- publishedAt: string (nullable = true)
 |    |    |-- source: struct (nullable = true)
 |    |    |    |-- id: string (nullable = true)
 |    |    |    |-- name: string (nullable = true)
 |    |    |-- title: string (nullable = true)
 |    |    |-- url: string (nullable = true)
 |    |    |-- urlToImage: string (nullable = true)
 |-- status: string (nullable = true)
 |-- totalResults: long (nullable = true)

我想将数组文章保存为具有数组格式的配置单元表

我想要的配置单元表示例：

author (string)
content (string)
description (string)
publishedat (string)
source (struct<id:string,name:string>)
title (string)
url (string)
urltoimage (string)

问题是只用一列名为 article 保存表，而竞争就在这一列中

Answer 1

有点复杂，但我发现这个可以工作：

import org.apache.spark.sql.functions._
ds.select(explode(col("articles")).as("exploded")).select("exploded.*").toDF()

我测试过

{
  "articles": [
    {
      "author": "J.K. Rowling",
      "title": "Harry Potter and the goblet of fire"
    },
    {
      "author": "George Orwell",
      "title": "1984"
    }
  ]
}

它返回了（在将它收集到一个数组之后）

result = {Arrays$ArrayList@13423}  size = 2
 0 = {GenericRowWithSchema@13425} "[J.K. Rowling,Harry Potter and the goblet of fire]"
 1 = {GenericRowWithSchema@13426} "[George Orwell,1984]"