Home › Discussions › Questions & Answers › Accelerated SQL Tuning: Leveraging DBA AWR Blitz Reports for Execution Plan History Analysis

Accelerated SQL Tuning: Leveraging DBA AWR Blitz Reports for Execution Plan History Analysis

Avatar photoCustomer Questions & Answers 6 replies

As EBS Performance Tuning specialists, we rely heavily on AWR reports to diagnose database bottlenecks, but extracting and interpreting detailed SQL execution plan history remains highly complex. The standard AWR output is massive, full of arcane codes, and is difficult to filter for specific long-running queries or poorly performing packages. We are seeking tools within the Blitz Report DBA Toolkit to simplify this crucial AWR Report Analysis process and clearly identify root causes for SQL tuning.

6 replies

  • Support Enginatics

    The complexity of raw AWR reports is dramatically reduced with the specialized DBA AWR Blitz Reports. Reports such as the ‘DBA AWR SQL Performance Summary’ retrieve detailed performance statistics, making it easier to analyze performance data in conjunction with Oracle EBS programs.

  • Avatar photoCustomer

    How quickly can we filter this extensive dataset to focus only on the required queries? We often need to narrow down by module or specific SQL ID.

  • Support Enginatics

    The report execution pane allows immediate filtering using several key parameters, such as ‘SQL Text contains,’ ‘Module contains,’ and ‘SQL Id’. This capability eliminates the need to manually parse large AWR sections, quickly focusing results on suspect code.

  • Avatar photoCustomer

    Since migrating to 19c and multitenant databases, AWR data retrieval seems inconsistent between the CDB and PDB levels. Have these diagnostic reports been updated to handle container databases?

  • Support Enginatics

    Yes, our DBA AWR Blitz Reports have been specifically updated for pluggable databases (PDBs) and container databases (CDBs). We introduced a new parameter allowing you to specify data retrieval scope: ‘All’ (CDB+PDBs), ‘Current PDB,’ or ‘N/A’ for non-container databases, ensuring accurate performance data regardless of your 19c architecture.

  • Support Enginatics

    The results provide functional names and the exact line of code that is badly performing, transforming years of necessary experience into actionable, immediate data for faster SQL Tuning.

  • You must be logged in to reply to this post.