Quick Reuse of Spark clusters
By default, every data flow activity spins up a new Spark cluster based upon the Azure Integration Runtime (IR) configuration. Cold cluster start-up time takes a few minutes. If your pipelines contain multiple sequential data flows, you can enable a time-to-live (TTL) value, which keeps a cluster alive for a certain period of time after its execution completes. If a new job starts using the IR during the TTL duration, it will reuse the existing cluster and start up time will be greatly reduced.
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