Seeking Expertise in Spark SQL CTE Recursive Queries in Azure Databricks

Question

I'm currently diving deep into Spark SQL and its capabilities, and I'm facing an interesting challenge. I'm eager to learn how to write CTE recursive queries in Spark SQL, but after thorough research, it seems that Spark doesn't natively support recursive queries.

I've been exploring various methods and even attempted some implementations, but I've hit a roadblock – my CTE recursive queries aren't yielding the expected results.

If anyone out there has experience or insights into solving this puzzle, I'd greatly appreciate your guidance.

Perhaps there's a creative workaround or a different approach that I haven't considered yet?

Feel free to drop a comment. Thank you in advance for your support! 🙌

Answer 1

Hi @Anuj, Singh (Cognizant)

Thank you for reaching out with your query.

While Spark SQL does not natively support CTE recursive queries, there are workarounds that you can use to achieve the desired results.

One approach is to use a user-defined function (UDF) to implement the recursive logic. Another option is to use a graph processing library like GraphX to perform recursive queries.

Here are some resources that can help you with this:

• Recursive Queries in Spark SQL
• GraphX Programming Guide
• recursive cte in spark SQL
• Spark SQL Recursive DataFrame – Pyspark and Scala

Hope this helps. Do let us know if you any further queries.

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Answer 2

Hi @Anuj, Singh (Cognizant)

Not an expert on Spark SQL.

Please check if this article helps you.

Best regards,

Cosmog Hong

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