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Fetch Time: The dominant factor is the fetch time, consuming 712.45 seconds (over 99% of the total time). This indicates the query spends most of its time retrieving data from storage.
Nested Loops and Hash Joins: The execution plan relies heavily on nested loop joins and hash joins, which can be inefficient for large datasets on Exadata.
Full Table Scans: There are indications of full table scans or scans that access a significant portion of the data, further contributing to the fetch time.
so, you should consider transforming the query, or the underlying structure (indexing, partitioning etc..).. Check -> Tuning SQLs to Optimize Smart Scan Performance ..
Tuning SQLs to Optimize Smart Scan Performance (Doc ID 2608210.1)
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