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jeff303 avatar jeff303 commented on July 18, 2024 1

Aha, getField on the column appears to be key, instead of starting from the root. Thanks, and happy new year!

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fqaiser94 avatar fqaiser94 commented on July 18, 2024

@jeff303 I think this is what you're looking for:

// spark-shell --jars mse_2.11-0.2.4.jar,spark-hofs_2.11-0.4.0.jar

import com.github.fqaiser94.mse.methods._
import za.co.absa.spark.hofs._
import spark.implicits._

val jsonText = """{
     |   "data1": [
     |     {
     |       "vlan": {
     |         "id": "195",
     |         "name": "Subnet-54.14.195"
     |       }
     |     },
     |     {
     |       "vlan": {
     |         "id": "195",
     |         "name": "Subnet-54.14.193"
     |       }
     |     }
     |   ]
     | }""".stripMargin

val df = spark.read.option("multiline", "true").json(Seq(jsonText).toDS())
// root
//  |-- data1: array (nullable = true)
//  |    |-- element: struct (containsNull = true)
//  |    |    |-- vlan: struct (nullable = true)
//  |    |    |    |-- id: string (nullable = true)
//  |    |    |    |-- name: string (nullable = true)

// rename "name" to "device_name"
df.withColumn("data1", transform($"data1", col => col.withField("vlan", col.getField("vlan").withFieldRenamed("name", "device_name")))).printSchema
// root
//  |-- data1: array (nullable = true)
//  |    |-- element: struct (containsNull = true)
//  |    |    |-- vlan: struct (nullable = true)
//  |    |    |    |-- id: string (nullable = true)
//  |    |    |    |-- device_name: string (nullable = true)

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