Apache spark: Write JSON DataFrame partitionBy nested columns - json

Question

I have this kind of JSON data:
{
"data": [
{
"id": "4619623",
"team": "452144",
"created_on": "2018-10-09 02:55:51",
"links": {
"edit": "https://some_page",
"publish": "https://some_publish",
"default": "https://some_default"
}
},
{
"id": "4619600",
"team": "452144",
"created_on": "2018-10-09 02:42:25",
"links": {
"edit": "https://some_page",
"publish": "https://some_publish",
"default": "https://some_default"
}
}
}
I read this data using Apache spark and I want to write them partition by id column. When I use this:
df.write.partitionBy("data.id").json(<path_to_folder>)
I will get error:
Exception in thread "main" org.apache.spark.sql.AnalysisException: Partition column data.id not found in schema
I also tried to use explode function like that:
import org.apache.spark.sql.functions.{col, explode}
val renamedDf= df.withColumn("id", explode(col("data.id")))
renamedDf.write.partitionBy("id").json(<path_to_folder>)
That actually helped, but each id partition folder contained the same original JSON file.
EDIT: schema of df DataFrame:
|-- data: array (nullable = true)
| |-- element: struct (containsNull = true)
| | |-- created_on: string (nullable = true)
| | |-- id: string (nullable = true)
| | |-- links: struct (nullable = true)
| | | |-- default: string (nullable = true)
| | | |-- edit: string (nullable = true)
| | | |-- publish: string (nullable = true)
Schema of renamedDf DataFrame:
|-- data: array (nullable = true)
| |-- element: struct (containsNull = true)
| | |-- created_on: string (nullable = true)
| | |-- id: string (nullable = true)
| | |-- links: struct (nullable = true)
| | | |-- default: string (nullable = true)
| | | |-- edit: string (nullable = true)
| | | |-- publish: string (nullable = true)
|-- id: string (nullable = true)
I am using spark 2.1.0
I found this solution: DataFrame partitionBy on nested columns
And this example:http://bigdatums.net/2016/02/12/how-to-extract-nested-json-data-in-spark/
But none of this helped me to solve my problem.
Thanks in andvance for any help.

Answer 1

try the following code:
val renamedDf = df
.select(explode(col("data")) as "x" )
.select($"x.*")
renamedDf.write.partitionBy("id").json(<path_to_folder>)

Answer 2

You are just missing a select statement after the initial explode
val df = spark.read.option("multiLine", true).option("mode", "PERMISSIVE").json("/FileStore/tables/test.json")
df.printSchema
root
|-- data: array (nullable = true)
| |-- element: struct (containsNull = true)
| | |-- created_on: string (nullable = true)
| | |-- id: string (nullable = true)
| | |-- links: struct (nullable = true)
| | | |-- default: string (nullable = true)
| | | |-- edit: string (nullable = true)
| | | |-- publish: string (nullable = true)
| | |-- team: string (nullable = true)
import org.apache.spark.sql.functions.{col, explode}
val df1= df.withColumn("data", explode(col("data")))
df1.printSchema
root
|-- data: struct (nullable = true)
| |-- created_on: string (nullable = true)
| |-- id: string (nullable = true)
| |-- links: struct (nullable = true)
| | |-- default: string (nullable = true)
| | |-- edit: string (nullable = true)
| | |-- publish: string (nullable = true)
| |-- team: string (nullable = true)
val df2 = df1.select("data.created_on","data.id","data.team","data.links")
df2.show
+-------------------+-------+------+--------------------+
| created_on| id| team| links|
+-------------------+-------+------+--------------------+
|2018-10-09 02:55:51|4619623|452144|[https://some_def...|
|2018-10-09 02:42:25|4619600|452144|[https://some_def...|
+-------------------+-------+------+--------------------+
df2.write.partitionBy("id").json("FileStore/tables/test_part.json")
val f = spark.read.json("/FileStore/tables/test_part.json/id=4619600")
f.show
+-------------------+--------------------+------+
| created_on| links| team|
+-------------------+--------------------+------+
|2018-10-09 02:42:25|[https://some_def...|452144|
+-------------------+--------------------+------+
val full = spark.read.json("/FileStore/tables/test_part.json")
full.show
+-------------------+--------------------+------+-------+
| created_on| links| team| id|
+-------------------+--------------------+------+-------+
|2018-10-09 02:55:51|[https://some_def...|452144|4619623|
|2018-10-09 02:42:25|[https://some_def...|452144|4619600|
+-------------------+--------------------+------+-------+