将sql数据转换为Json数组[java spark]
我有dataframe,想要转换成JSON数组,请查找下面的示例 数据帧将sql数据转换为Json数组[java spark],java,apache-spark,apache-spark-sql,Java,Apache Spark,Apache Spark Sql,我有dataframe,想要转换成JSON数组,请查找下面的示例 数据帧 +------------+--------------------+----------+----------------+------------------+-------------- | Name| id|request_id|create_timestamp|deadline_timestamp| +------------+--------------------+-
+------------+--------------------+----------+----------------+------------------+--------------
| Name| id|request_id|create_timestamp|deadline_timestamp|
+------------+--------------------+----------+----------------+------------------+--------------
| Freeform|59bbe3ad-f487-44| htvjiwmfe| 1589155200000| 1591272659556
| D23|59bbe3ad-f487-44| htvjiwmfe| 1589155200000| 1591272659556
| Stores|59bbe3ad-f487-44| htvjiwmfe| 1589155200000| 1591272659556
|VacationClub|59bbe3ad-f487-44| htvjiwmfe| 1589155200000| 1591272659556
需要Json格式,如下所示:
[
{
"testname":"xyz",
"systemResponse":[
{
"name":"FGH",
"id":"59bbe3ad-f487-44",
"request_id":1590791280,
"create_timestamp":1590799280
},
{
"name":"FGH",
"id":"59bbe3ad-f487-44",
"request_id":1590791280,
"create_timestamp":1590799280,
}
]
}
]
- 您可以定义2个bean
- 从第一个DF创建数组作为内部bean的数组
- 将testname和requestDetailArray定义为数组的父bean
object DataToJsonArray {
def main(args: Array[String]): Unit = {
val spark = Constant.getSparkSess
import spark.implicits._
//Load you dataframe
val requestDetailArray = List(
("Freeform", "59bbe3ad-f487-44", "htvjiwmfe", "1589155200000", "1591272659556"),
("D23", "59bbe3ad-f487-44", "htvjiwmfe", "1589155200000", "1591272659556"),
("Stores", "59bbe3ad-f487-44", "htvjiwmfe", "1589155200000", "1591272659556"),
("VacationClub", "59bbe3ad-f487-44", "htvjiwmfe", "1589155200000", "1591272659556")
).toDF
//Map your Dataframe to RequestDetails bean
.map(row => RequestDetails(row.getString(0), row.getString(1), row.getString(2), row.getString(3), row.getString(4)))
//Collect it as Array
.collect()
//Create another data frme with List[BaseClass] and set the (testname,Array[RequestDetails])
List(BaseClass("xyz", requestDetailArray)).toDF()
.write
//Output your Dataframe as JSON
.json("/json/output/path")
}
}
case class RequestDetails(Name: String, id: String, request_id: String, create_timestamp: String, deadline_timestamp: String)
case class BaseClass(testname: String = "xyz", systemResponse: Array[RequestDetails])
检查下面的代码
import org.apache.spark.sql.functions._
df.withColumn("systemResponse",
array(
struct("id","request_id","create_timestamp","deadline_timestamp").as("data")
)
)
.select("systemResponse")
.toJSON
.select(col("value").as("json_data"))
.show(false)
+-----------------------------------------------------------------------------------------------------------------------------------------------+
|json_data |
+-----------------------------------------------------------------------------------------------------------------------------------------------+
|{"systemResponse":[{"id":"59bbe3ad-f487-44","request_id":"htvjiwmfe","create_timestamp":"1589155200000","deadline_timestamp":"1591272659556"}]}|
|{"systemResponse":[{"id":"59bbe3ad-f487-44","request_id":"htvjiwmfe","create_timestamp":"1589155200000","deadline_timestamp":"1591272659556"}]}|
|{"systemResponse":[{"id":"59bbe3ad-f487-44","request_id":"htvjiwmfe","create_timestamp":"1589155200000","deadline_timestamp":"1591272659556"}]}|
|{"systemResponse":[{"id":"59bbe3ad-f487-44","request_id":"htvjiwmfe","create_timestamp":"1589155200000","deadline_timestamp":"1591272659556"}]}|
+-----------------------------------------------------------------------------------------------------------------------------------------------+
已更新
scala> :paste
// Entering paste mode (ctrl-D to finish)
df.withColumn("systemResponse",
array(
struct("id","request_id","create_timestamp","deadline_timestamp").as("data")
)
)
.withColumn("testname",lit("xyz"))
.select("testname","systemResponse")
.toJSON
.select(col("value").as("json_data"))
.show(false)
// Exiting paste mode, now interpreting.
+----------------------------------------------------------------------------------------------------------------------------------------------------------------+
|json_data |
+----------------------------------------------------------------------------------------------------------------------------------------------------------------+
|{"testname":"xyz","systemResponse":[{"id":"59bbe3ad-f487-44","request_id":"htvjiwmfe","create_timestamp":"1589155200000","deadline_timestamp":"1591272659556"}]}|
|{"testname":"xyz","systemResponse":[{"id":"59bbe3ad-f487-44","request_id":"htvjiwmfe","create_timestamp":"1589155200000","deadline_timestamp":"1591272659556"}]}|
|{"testname":"xyz","systemResponse":[{"id":"59bbe3ad-f487-44","request_id":"htvjiwmfe","create_timestamp":"1589155200000","deadline_timestamp":"1591272659556"}]}|
|{"testname":"xyz","systemResponse":[{"id":"59bbe3ad-f487-44","request_id":"htvjiwmfe","create_timestamp":"1589155200000","deadline_timestamp":"1591272659556"}]}|
+----------------------------------------------------------------------------------------------------------------------------------------------------------------+
如果数据框中有testname列??否,它在飞行中添加了额外的列如何添加与
systemResponse
并行的额外列?是否要添加此“testname”:“xyz”?更新的代码,请检查是否完善,感谢您的帮助