Comments (2)
Aha, getField
on the column appears to be key, instead of starting from the root. Thanks, and happy new year!
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@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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