Flattening a Nested Recursive JSON Structure into a Struct List

[Daniel20]

This is from Spark Event log on Event SparkListenerSQLExecutionStart.
How to flatten the sparkPlanInfo struct into an array of the same struct, then later explode it. Note that the element children is an array containing the parent struct, and the level of nesting could be 0 to any random number.

[Kaniz_Fatma]

Hi @Daniel20, To flatten the sparkPlanInfo struct into an array of the same struct and then later explode it, you can follow these steps:

Flatten the Struct:

• Create a function that recursively traverses the schema of the sparkPlanInfo struct.
• For each field in the schema, if it’s of type StructType, recursively flatten it.
• Otherwise, add the field name to a list of flattened fields.
• The resulting list will contain all the flattened field names.

Explode the Array:

• Once you have the flattened field names, use the explode function to explode the array.
• Apply the explode function to each flattened field in the DataFrame.

Feel free to adapt this example to your specific Spark environment and requirements! 🚀

[Kaniz_Fatma]

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