'data frame parsing column scala
I have some problem with parsing Dataframe
val result = df_app_clickstream.withColumn(
"attributes",
explode(expr(raw"transform(attributes, x -> str_to_map(regexp_replace(x, '{\\}',''), ' '))"))
).select(
col("userId"),
col("attributes").getField("campaign_id").alias("app_campaign_id"),
col("attributes").getField("channel_id").alias("app_channel_id")
)
result.show()
I have input like this :
-------------------------------------------------------------------------------
| userId | attributes |
-------------------------------------------------------------------------------
| f6e8252f-b5cc-48a4-b348-29d89ee4fa9e |{'campaign_id':082,'channel_id':'Chnl'}|
-------------------------------------------------------------------------------
and need to get output like this :
--------------------------------------------------------------------
| userId | campaign_id | channel_id|
--------------------------------------------------------------------
| f6e8252f-b5cc-48a4-b348-29d89ee4fa9e | 082 | Facebook |
--------------------------------------------------------------------
but have error
Solution 1:[1]
you can try below solution
import org.apache.spark.sql.functions._
val data = Seq(("f6e8252f-b5cc-48a4-b348-29d89ee4fa9e", """{'campaign_id':082, 'channel_id':'Chnl'}""")).toDF("user_id", "attributes")
val out_df = data.withColumn("splitted_col", split(regexp_replace(col("attributes"),"'|\\}|\\{", ""), ","))
.withColumn("campaign_id", split(element_at(col("splitted_col"), 1), ":")(1))
.withColumn("channel_id", split(element_at(col("splitted_col"), 2), ":")(1))
out_df.show(truncate = false)
+------------------------------------+----------------------------------------+-----------------------------------+-----------+----------+
|user_id |attributes |splitted_col |campaign_id|channel_id|
+------------------------------------+----------------------------------------+-----------------------------------+-----------+----------+
|f6e8252f-b5cc-48a4-b348-29d89ee4fa9e|{'campaign_id':082, 'channel_id':'Chnl'}|[campaign_id:082, channel_id:Chnl]|082 |Chnl |
+------------------------------------+----------------------------------------+-----------------------------------+-----------+----------+
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | Pradeep yadav |
