|Type of Profiler||Requires Hadoop cluster?||Supported Running Environment||Description|
Generates a profile on the running environment
using the Spark Job Service. Does not require any Spark installation on the cluster.
Tip: This is the best-performing profiler in most use cases.
Default profiler when
running environment is enabled, and the Scala Spark Profiler has not been enabled
By default, profiling jobs execute on the running environment where the transformation job was executed. You can configure the
running environment to execute profiling jobs as a separate job in the Spark running environment. This separation allows users to begin working with the transformed data while waiting for the profiling job to complete.
When profiling is selected for jobs executing on the running environment
, their jobs are executed on the Spark running environment as a separate job.