Mining the AWR v1: Alternative Methods for Identification of the Top SQLs



Date and time

Wednesday, 18. October 2017., 09:50


Hall B



We can use AWR reports to quickly identify the SQL_IDs of the top statements in the database. But what if the AWR report reveals no \"low-hanging fruit,\" and the resource usage is evenly distributed among multiple statements? Where do we start? Is there a better way to identify the starting point for the tuning of a resource-bound system? This presentation will explain when the AWR reports are misleading and how we can take a look at the data stored in AWR from a different angle to determine the top consumers. Discussion will include a practical demonstration using scripts for AWR mining that attendees can apply to their own challenging database performance tuning problems

Lecture details

Type: Lecture
Level of difficulty: Detailed
Experience Level: No experience
Desirable listeners function: DBA , Developers

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The conference is organized by the Croatian Association of Oracle users. More about the association can be found at

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