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In apache/spark#33904, I faced a performance issue with the topK scenario where K is very large which can be avoided by setting spark.sql.execution.topKSortFallbackThreshold less than the K here.
For Kyuubi users who run SQL only, improper topK SQLs will hold engines for quite a long time and they don't know why.
With a proper value for spark.sql.execution.topKSortFallbackThreshold is more suitable for Kyuubi's cases