Scala 如何在结构化流中解析JSON记录?

Scala 如何在结构化流中解析JSON记录?,scala,apache-spark,apache-spark-sql,spark-structured-streaming,Scala,Apache Spark,Apache Spark Sql,Spark Structured Streaming,我正在开发一个spark结构化流媒体应用程序,并尝试解析以下格式给出的JSON {"name":"xyz","age":29,"details":["city":"mumbai","country":"India"]} {"name":"abc","age":25,"details":["city":"mumbai","country":"India"]} 下面是我解析JSON的Spark代码: import org.apache.spark.sql.types._ import spark.

我正在开发一个spark结构化流媒体应用程序,并尝试解析以下格式给出的JSON

{"name":"xyz","age":29,"details":["city":"mumbai","country":"India"]}
{"name":"abc","age":25,"details":["city":"mumbai","country":"India"]}
下面是我解析JSON的Spark代码:

import org.apache.spark.sql.types._
import spark.implicits._
 val schema= new StructType()
    .add("name",DataTypes.StringType )
    .add("age", DataTypes.IntegerType)
    .add("details",
      new StructType()
        .add("city", DataTypes.StringType)
        .add("country", DataTypes.StringType)
    )

  val dfLogLines = dfRawData.selectExpr("CAST(value AS STRING)") //Converting binary to text

  val personNestedDf = dfLogLines.select(from_json($"value", schema).as("person"))
  val personFlattenedDf = personNestedDf.selectExpr("person.name", "person.age")

  personFlattenedDf.printSchema()
  personFlattenedDf.writeStream.format("console").option("checkpointLocation",checkpoint_loc3).start().awaitTermination()
输出:

root
|-- name: string (nullable = true)
|-- age: integer (nullable = true)

-------------------------------------------
Batch: 0
-------------------------------------------
+----+----+
|name| age|
+----+----+
|null|null|
|null|null|
+----+----+
代码不会抛出任何错误,但在输出中返回空值。我做错了什么?
提前感谢。

tl;drJSON在
详细信息
字段中的格式不正确


从标准功能的文档中:

如果是不可解析的字符串,则返回null

问题在于
详细信息
字段

{“详情”:[“城市”:“孟买”,“国家”:“印度”]}

它看起来像数组或映射,但没有匹配项

scala> Seq(Array("one", "two")).toDF("value").toJSON.show(truncate = false)
+-----------------------+
|value                  |
+-----------------------+
|{"value":["one","two"]}|
+-----------------------+

scala> Seq(Map("one" -> "two")).toDF("value").toJSON.show(truncate = false)
+-----------------------+
|value                  |
+-----------------------+
|{"value":{"one":"two"}}|
+-----------------------+

scala> Seq(("mumbai", "India")).toDF("city", "country").select(struct("city", "country") as "details").toJSON.show(truncate = false)
+-----------------------------------------------+
|value                                          |
+-----------------------------------------------+
|{"details":{"city":"mumbai","country":"India"}}|
+-----------------------------------------------+

我的建议是自己使用用户定义函数(UDF)进行JSON解析。

谢谢!JSON格式不正确。