Synopsis. Oracle Database 11g unlock 1 (11gR1) elements the brand new SQL efficiency Analyzer that guarantees to ease significantly the workload of busy Oracle DBAs because it gives a way to accurately evaluate comprehensive database workloads for “earlier than versus after” efficiency adjustments. this article – the next in a collection on new Oracle Database 11g SQL performance improvement facets – discusses the way to use the SQL efficiency Analyzer to consider a SQL workload generated from an Oracle 10gR2 database to observe potential efficiency considerations for that workload if it have been done inside an Oracle 11g database system.
The previous article during this series illustrated the fundamentals of using Oracle Database 11g’s new SQL efficiency Analyzer (SPA) tool to:
in this article, I’ll show how the SQL performance Analyzer can analyze more complicated Oracle environment changes – peculiarly, the upgrade of the can charge-based mostly optimizer (CBO) between Oracle database releases -- and i’ll display how to switch a SQL workload generated from an Oracle 10gR2 database to an Oracle 11gR1 database. moreover, considering the fact that I targeting the PL/SQL interface to measure SQL workload performance in the last article, I’ll focal point on the usage of Oracle 11g’s enterprise manager (EM) Database control interface for the SQL efficiency Analyzer to show how handy it is to analyze a SQL workload with a number of mouse clicks.SQL efficiency evaluation scenario: Simulating an Optimizer upgrade
1.) put together for Simulation. I’ve built an Oracle 10gR2 database named DB10G the usage of the general “seed” database inside an Oracle 10gR2 domestic. To raise ahead the identical example from the previous article, I then developed the, SH.SALES_AGENTS table on that database, loaded it with the same pattern set of about 420,000 rows, and then built the same five indexes towards that desk. I used the similar DDL that I introduced in checklist 1.1 for the old article to achieve this, and i utilized the identical DML statements (LoadSalesAgents.sql) to perform an initial load of this desk.
2.) prepare for SQL Workload Gathering. subsequent, I’ll create a SQL Workload on the DB10G database. I’ll use the same SQL statements that entry the SH.SALES_AGENTS table that I used in the previous article, along with a few further SQL statements that’ll entry one of the most other demo schema tables. The statements that contain this SQL workload are proven in GenerateSQLWorkload.sql. observe that the closing 4 SQL statements – those tagged as LDGN 4.1 via LDGN 4.4 - make use of older optimizer pointers that are nonetheless available in Oracle 9i but no longer completely supported in Oracle 10g. I’ll use these statements to reveal how the SQL performance Analyzer can simulate performance using charge-primarily based optimizer settings from different older Oracle database environments. The code proven in record 2.1 captures these SQL statements into a SQL Tuning Set named STS_SPA_200.
3.) Stage and Export SQL Tuning Set. Now that I’ve carried out the SQL workload and have gathered the resulting data into the STS_SPA_200 SQL Tuning Set, I’ll switch that workload and its corresponding execution statistics to my Oracle 11gR1 database. I’ll try this by creating staging tables to dangle that information, transferring the SQL workload and its efficiency assistance into that desk, after which transporting those records to the centered Oracle 11g database. checklist 2.2 shows how I captured (or “packed”) the SQL Tuning Set into staging tables with the DBMS_SQLTUNE.PACK_STGTAB_SQLSET manner. I then used Oracle DataPump to export those staging tables into a DataPump Export dumpset named DumpStagingTable.dmp.
4.) Import, unpack, and prepare SQL Tuning Set for verify execution. After copying the DataPump dump set into the default DataPump listing for my Oracle 11g database, I’ll should switch the counsel contained inside the staging tables for the SQL Tuning Set into my Oracle 11g target database for analysis. checklist 2.3 illustrates how I imported the staging tables from Oracle 10gR2 into the target Oracle 11gR1 database the usage of Oracle DataPump Import and an acceptable parameter file. I then used the DBMS_SQLTUNE.UNPACK_STGTAB_SQLSET technique to “unpack” the SQL Workload stored in these staging tables into my goal Oracle 11gR1 database.
5.) Simulate an Optimizer upgrade From 10.2.0.1 to eleven.0.1.6. Now that my preparations are completed, I’m ready to turn the SQL efficiency Analyzer free to let it find any sizeable efficiency influences on the SQL statements in the imported SQL Workload if it have been executed towards the target Oracle 11gR1 database. I’ll use the Oracle Database 11g’s business supervisor Database handle interface to function this evaluation. determine 2.1 shows the preliminary state of the SQL performance Analyzer panel.
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