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FINDING 7: 4% impact (178 seconds) SQL statements responsible for significant inter-instance messaging were found RECOMMENDATION i: SQL Tuning, 38% benefit (1665 seconds) ACTION: Run SOL Tuning Advisor on the SOL statement with SOLJD "8yvup05pk06ca". RELEVANT 0B3ECT: SQL statement with SOLJD 8yvup05pk06ca and PLAN^HASH 3016086792 SELECT S__QUANTITY, SJATA, S^DIST^Ol, SJIST_02, S^DIST^OB, S__DIST^04, S^DIST_^05, S^DIST_06, S_^DIST^07, S^DIST^OB, S^DIST^09. S^DIST^IO FROM STOCK WHERE S J J D :82 AND S__,WJD = :Bl RATIONALE: SQL statement with SOLJD "8yvup05pk06ca" was executed 33888 times and had an average elapsed time of 0.048 seconds. RATIONALE: Average time spent in Cluster wait events per execution was 0.0004 seconds.

SYMPTOMS THAT LED TO THE FINDING: SYMPTOM: Wait class "Cluster" was consuming significant database time. (3.8% impact [170 seconds])

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You have seen how you can easily create a policy function based on the username, since you could use nvl(v('APP_USER'), USER) to determine the username, regardless of how the user was connected to the database. But what if you want to use some other criteria How could you do that so that it would work in APEX, SQL*Plus, any Java applications, and so on The answer lies in using application contexts, which allow you to set custom information linked to a particular session that can then be used in the VPD policy. There are two types of contexts: Application context: This type of context is private to a particular session and will expire once the session ends. An application context is useful in a stateless environment, where the session state needs to be reestablished each time the session reconnects. Application contexts are stored in the User Global Area (UGA). Global application context: This sort of context can be shared across different sessions and will still exist after the session has ended. A global application context is not session-based and therefore allows you to maintain state information across multiple sessions. Global application contexts are stored in the System Global Area (SGA).

Since early versions of Oracle 7, the two main sources of information for performance tuning an Oracle database have been system statistics and wait events. Both have been extended with additional statistics and events in subsequent releases. There are a number of RAC-specific statistics and events. In Oracle 9.2 and above, useful information could also be obtained from the segment statistics facility. In Oracle 10.1 and above, the kernel has been much more thoroughly instrumented, resulting in a large increase in the number of latches and wait events that are individually reported. Execution time information is also available in the form of time-based metrics.

In this section, we will examine some of performance tuning queries you can use to diagnose performance issues in a RAC environment.

Note The difference between the two types of contexts can appear subtle at first; however, they both

Before reviewing the SQL*Plus queries, we will briefly review the relationship between the X$ tables, GV$ views, and \/$ views. All are compiled into the Oracle executable and exist for both single-instance and RAC databases. X$ tables present instance or session memory structures as tables. Although they still exist, RAC-specific X$ tables are not populated for single-instance databases. X$ tables are defined in V$FIXED_TABLE. GV$ views are also built into the Oracle executable. They therefore exist for all databases (including single-instance) and reference the X$ tables. The standard VS views are also built into the Oracle executable. In general, V$ views do not directly reference X$ tables; they generally use them indirectly via GV$ views using queries of the following form:

SELECT <column_list> FROM gv$<view_name> WHERE i n s t J d = USERENV ('INSTANCE');

have their uses. For more information, refer to the Implementing Application Context and Fine-Grained Access Control section of the Oracle Database Security Guide.

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