Statistics Package (STATSPACK) Guide (文档 ID 394937.1)
In this Document
| Goal |
| Fix |
| 0. Introduction and Terminology |
| How does Statspack work? |
| 1. Enterprise Manager (EM), Automatic Workload Repository (AWR) and Statspack |
| 2. Statspack Configuration |
| 3. Gathering data - taking a snapshot |
| 4. Running the Performance reports |
| 5. Configuring the amount of data captured |
| 6. Time Units used for Performance Statistics |
| 7. Event Timings |
| 8. Managing and Sharing performance data |
| 9. New and Changed Features |
| 9.1. Changes between 10.1 and 10.2 |
| 9.2. Changes between 9.2 and 10.1 |
| 9.3. Changes between 9.0 and 9.2 |
| 9.4. Changes between 8.1.7 and 9.0 |
| 9.5. Changes between 8.1.6 and 8.1.7 |
| 10. Compatibility and Upgrading from previous releases |
| 10.1.1. Using Statspack shipped with 10.2 |
| 10.1.2. Using Statspack shipped with 10.1 |
| 10.1.3. Using Statspack shipped with 9.2 |
| 10.1.4. Using Statspack shipped with 9.0 |
| 10.1.5. Using Statspack shipped with 8.1.7 on 9i releases |
| 10.2. Upgrading an existing Statspack schema to a newer release |
| 10.2.1. Upgrading the Statspack schema from 10.1 to 10.2 |
| 10.2.2. Upgrading the Statspack schema from 9.2 to 10.1 |
| 10.2.4. Upgrading the Statspack schema from 8.1.7 to 9.0 |
| 10.2.5. Upgrading the Statspack schema from 8.1.6 to 8.1.7 |
| 10.2.6. Upgrading the Statspack schema from 8.1.6 to 9.2 |
| 10.2.7. Upgrading the Statspack schema from 8.1.6 to 9.0 |
| 10.2.8. Upgrading the Statspack schema from 8.1.7 to 9.2 |
| 11. Oracle Real Application Clusters specific considerations |
| 11.1. Changing Instance Numbers |
| 11.2. Real Application Clusters Specific Reports |
| 11.3 Real Application Clusters Specific Data |
| 12. Conflicts and differences compared to UTLBSTAT/UTLESTAT |
| 12.1. Running BSTAT/ESTAT in conjunction to Statspack |
| 12.2. Differences between Statspack and BSTAT/ESTAT |
| 13. Removing the package |
| 15. Limitations and Modifications |
| 15.1. Limitations |
| 15.2. Modifications |
| References |
APPLIES TO:
Oracle Database - Enterprise Edition - Version 8.1.6.0 and laterInformation in this document applies to any platform.
***Checked for relevance on 05-APR-2013***
GOAL
RDBMS version 10g offers a new and improved tool for diagnosing Database Perfromance issues. It is the Automated WorkLoad Repository (AWR).
However, there are still a number of customers using statistics package (statspack) intially introduced in RDBMS version 8.1.
The goal of this document is to further assist customers/engineers when installing and using the database performance tool Statspack.
During install of the RDBMS product, Oracle stores a document entitled spdoc.txt.
The spdoc.txt file will be located in the following directory upon successful install of the RDBMS product 8.1.7 or higher: $ORACLE_HOME/rdbms/admin/.
The StatsPack README files (spdoc.txt) include specific updated information, and history on this tool as well as platform and release specific information that will help when installing and using this product.
A number of cutomers do not realize spdoc.txt is available on their systems, or would like to have it available through Oracle's Knowledge Repository for easy access.
Therefore, the latest version, 10.2, spdoc.txt is published in this note.
Please find below spdoc.txt for version 10.2 in it's entirety to help guide you through installation, and the most common issues you may encounter while running statspack.
Information in this document will help you with all versions of RDBMS statspack product. However, Oracle still suggests you go to your $ORACLE_HOME/rdbms/admin/spdoc.txt to reference your statspack platform and version specific information on running statspack reports (i.e section 4 below).
FIX
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Oracle10g Server Release 10.2 Production
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Copyright (C) 1993, 2005, Oracle Corporation. All rights reserved.
Author: Connie Dialeris Green
Contributors: Cecilia Gervasio, Graham Wood, Russell Green, Patrick Tearle,
Harald Eri, Stefan Pommerenk, Vladimir Barriere
Please refer to the Oracle10g server README file in the rdbms doc directory,
for copyright, restrictions, warrant, trademark, disclaimer,
and licensing information. The README file is README_RDBMS.HTM.
Oracle Corporation, 500 Oracle Parkway, Redwood City, CA 94065.
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Statistics Package (STATSPACK) README (spdoc.txt)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
TABLE OF CONTENTS
-----------------
0. Introduction and Terminology
1. Enterprise Manager (EM), Automatic Workload Repository (AWR) and Statspack
2. Statspack Configuration
2.1. Database Space Requirements
2.2. Installing the Tool
2.3. Errors during Installation
3. Gathering data - taking a snapshot
3.1. Automating Statspack Statistics Gathering
3.2. Using dbms_job
4. Running the Performance reports
4.1. Running the instance report
4.2. Running the instance report when there are multiple instances
4.3. Configuring the Instance Report
4.4. Running the SQL report
4.5. Running the SQL report when there are multiple instances
4.6. Configuring the SQL report
4.7. Gathering optimizer statistics on the PERFSTAT schema
5. Configuring the amount of data captured
5.1. Snapshot Level
5.2. Snapshot SQL thresholds
5.3. Changing the default values for Snapshot Level and SQL Thresholds
5.4. Snapshot Levels - details
5.5. Specifying a Session Id
5.6. Input Parameters for the SNAP and
MODIFY_STATSPACK_PARAMETERS procedures
6. Time Units used for Performance Statistics
7. Event Timings
8. Managing and Sharing performance data
8.1. Baselining performance data
8.1.1. Input Parameters for the MAKE_BASELINE and CLEAR_BASELINE
procedure and function which accept Begin and End Snap Ids
8.1.2. Input Parameters for the MAKE_BASELINE and CLEAR_BASELINE
procedure and function which accept Begin and End Dates
8.2. Purging/removing unnecessary data
8.2.1. Input Parameters for the PURGE procedure and function
which accept Begin Snap Id and End Snap Id
8.2.2. Input Parameters for the PURGE procedure and function
which accept Begin Date and End Date
8.2.3. Input Parameters for the PURGE procedure and function
which accept a single Purge Before Date
8.2.4. Input Parameters for the PURGE procedure and function
which accept the Number of Days of data to keep
8.2.5. Using sppurge.sql
8.3. Removing all data
8.4. Sharing data via export
9. New and Changed Features
9.1. Changes between 10.1 and 10.2
9.2. Changes between 9.2 and 10.1
9.3. Changes between 9.0 and 9.2
9.4. Changes between 8.1.7 and 9.0
9.5. Changes between 8.1.6 and 8.1.7
10. Compatibility and Upgrading from previous releases
10.1. Compatibility Matrix
10.1.1. Using Statspack shipped with 10.1
10.1.2. Using Statspack shipped with 10.0
10.1.3. Using Statspack shipped with 9.2
10.1.4. Using Statspack shipped with 9.0
10.1.5. Using Statspack shipped with 8.1.7 on 9i releases
10.2. Upgrading an existing Statspack schema to a newer release
10.2.1. Upgrading the Statspack schema from 10.1 to 10.2
10.2.2. Upgrading the Statspack schema from 9.2 to 10.1
10.2.3. Upgrading the Statspack schema from 9.0 to 9.2
10.2.4. Upgrading the Statspack schema from 8.1.7 to 9.0
10.2.5. Upgrading the Statspack schema from 8.1.6 to 8.1.7
10.2.6. Upgrading the Statspack schema from 8.1.6 to 9.2
10.2.7. Upgrading the Statspack schema from 8.1.6 to 9.0
10.2.8. Upgrading the Statspack schema from 8.1.7 to 9.2
11. Oracle Real Application Clusters specific considerations
11.1. Changing Instance Numbers
11.2. Cluster Specific Reports
11.3. Cluster Specific Data
12. Conflicts and differences compared to UTLBSTAT/UTLESTAT
12.1. Running BSTAT/ESTAT in conjunction to Statspack
12.2. Differences between Statspack and BSTAT/ESTAT
13. Removing the package
14. Supplied Scripts Overview
15. Limitations and Modifications
15.1. Limitations
15.2. Modifications
0. Introduction and Terminology
To effectively perform reactive tuning, it is vital to have an established baseline for later comparison when the system is running poorly. Without a baseline data point, it becomes very difficult to identify what a new problem is attributable to: Has the volume of transactions on the system increased? Has the transaction profile or application changed? Has the
number of users increased?
Statspack fundamentally differs from the well known UTLBSTAT/UTLESTAT tuning scripts by collecting more information, and also by storing the performance statistics permanently in Oracle tables, which can later be used for reporting and analysis. The data collected can be analyzed using the report provided, which includes an 'instance health and load' summary page, high resource SQL statements, as well as the traditional wait events and initialization parameters.
Statspack improves on the existing UTLBSTAT/UTLESTAT performance scripts in the following ways:
- Statspack collects more data, including high resource SQL (and the optimizer execution plans for those statements)
- Statspack pre-calculates many ratios useful when performance tuning such as cache hit ratios, per transaction and per
second statistics (many of these ratios must be calculated manually when using BSTAT/ESTAT)
- Permanent tables owned by PERFSTAT store performance statistics; instead of creating/dropping tables each time, data is inserted into the pre-existing tables. This makes historical data comparisons easier
- Statspack separates the data collection from the report generation. Data is collected when a 'snapshot' is taken; viewing the data collected is in the hands of the performance engineer when he/she runs the performance report
- Data collection is easy to automate using either dbms_job or an OS utility
NOTE: The term 'snapshot' is used to denote a set of statistics gathered at a single time, identified by a unique Id which includes the snapshot number (or snap_id). This term should not be confused with Oracle's Snapshot Replication technology.
How does Statspack work?
Statspack is a set of SQL, PL/SQL and SQL*Plus scripts which allow the collection, automation, storage and viewing of performance data. A user is automatically created by the installation script - this user, PERFSTAT, owns all objects needed by this package. This user is granted limited query-only privileges on the V$views required for performance tuning.
Statspack users will become familiar with the concept of a 'snapshot'. 'Snapshot' is the term used to identify a single collection of performance data. Each snapshot taken is identified by a 'snapshot id' which is a unique number generated at the time the snapshot is taken; each time a new collection is taken, a new snap_id is generated.
The snap_id, along with the database identifier (dbid) and instance number (instance_number) comprise the unique key for a snapshot (using this unique combination allows storage of multiple instances of a Clustered database in the same tables).
Once snapshots are taken, it is possible to run the performance report. The performance report will prompt for the two snapshot id's the report will process. The report produced calculates the activity on the instance between the two snapshot periods specified in a similar way to the BSTAT/ESTAT report. To compare - the first snap_id supplied can be considered the equivalent of running BSTAT; the second snap_id specified can be considered the equivalent of ESTAT. Unlike BSTAT/ESTAT which can by its nature only compare two static data points, the report can compare any two snapshots specified.
1. Enterprise Manager (EM), Automatic Workload Repository (AWR) and Statspack
Enterprise Manager
------------------
Statspack allows you to capture Oracle instance-related performance data and report on this data in a textual format.
For EM managed databases in 9i, Oracle Enterprise Manager uses Statspack data and displays it graphically. Starting with 10g, Enterprise Manager instead uses data collected by the Automatic Workload Repository (AWR). AWR data is internally captured and stored by Oracle 10g databases.
For more information about Oracle Enterprise Manager visit the Oracle website oracle.com --> Database --> Manageability
Automatic Workload Repository and Statspack
-------------------------------------------
The Automatic Workload Repository (AWR) is an integrated part of the Oracle server. Its purpose is to collect server-related performance data automatically every 60 minutes (by default) when the statistics_level parameter is set to 'typical' (or 'all'). As the data is collected by the server itself, the Automated Database Diagnostic Monitor (ADDM) component of the server uses this data automatically to diagnose performance issues.
DBAs and performance engineers can access the performance recommendations by using EM or view the captured data in the AWR report which is similar to the Statspack Instance report.
To compare, Statspack is a manually installed and configured set of SQL and PL/SQL scripts which gather performance statistics. The data gathered is used by DBAs and performance engineers to manually diagnose performance
problems.
The AWR schema was initially based on the Statspack schema but has since been modified. Because of this shared history, there are some similarities (e.g. concept of a snapshot, similar base tables). However, AWR is separate from Statspack.
For more information on using AWR, please see the Oracle 10g Server Performance Tuning Guide. For license information regarding AWR, please see the Oracle database Licensing Information Manual.
If you are going to use AWR instead of Statspack, and you have been using Statspack at your site, it is recommended that you continue to capture Statspack data for a short time (e.g. one month) after the upgrade to 10g. This is because comparing post-upgrade Statspack data to pre-upgrade Statspack data may make diagnosing initial upgrade problems easier to detect.
WARNING: If you choose to continue Statspack data collection after upgrading to 10g, and statistics_level is set to typical or
all (which enables AWR collection), it is advised to stagger Statspack data collection so it does not coincide with AWR
data collection (AWR data collection is by default is every hour, on the hour). Staggering data collection should be done to avoid the potential for any interference (e.g. stagger data collection by 30 minutes).
Long term, typically there is little reason to collect data through both AWR and Statspack. If you choose to use AWR instead of Statspack, you should ensure you should keep a representative set of baselined Statspack data for future reference.
2. Statspack Configuration
2.1. Database Space Requirements
The amount of database space required by the package will vary considerably based on the frequency of snapshots, the size of the database and instance, and the amount of data collected (which is configurable).
It is therefore difficult to provide general storage clauses and space utilization predictions that will be accurate at each site.
Space Requirements
------------------
The default initial and next extent sizes are 100k, 1MB, 3MB or 5MB for all Statspack tables and indexes. To install Statspack, the minimum space requirement is approximately 100MB. However, the amount of space actually allocated will depend on the Tablespace storage characteristics of the tablespace Statspack is installed in (for example, if your minimum
extent size is 10m, then the storage requirement will be considerably more than 100m).
Using Locally Managed Tablespaces
---------------------------------
If you install the package in a locally-managed tablespace, such as SYSAUX, modifying storage clauses is not required, as the storage characteristics are automatically managed.
Using Dictionary Managed Tablespaces
------------------------------------
If you install the package in a dictionary-managed tablespace, Oracle suggests you monitor the space used by the objects created, and adjust the storage clauses of the segments, if required.
2.2. Installing the Tool
Installation scripts create a user called PERFSTAT which will own all PL/SQL code and database objects created (including the STATSPACK tables, constraints and the STATSPACK package).
During the installation you will be prompted for the PERFSTAT user's password and default and temporary tablespaces.
The default tablespace will be used to create all Statspack objects (such as tables and indexes). Oracle recommend using the
SYSAUX tablespace for the PERFSTAT user's default tablespace. The SYSAUX tablespace will be the tablespace defaulted during the installation if no other is specified.
A temporary tablespace is used for workarea activities such as sorting (for more information on temporary tablespaces, see
the Oracle10g Concepts Manual). The Statspack user's temporary tablespace will be set to the database's default temporary tablespace by the installation if no other temporary tablespace is specified.
NOTE:
o A password for PERFSTAT user is mandatory and there is no default password. If a password is not specified, the installation will abort with an error indicating this is the problem.
o For security reasons, keep PERFSTAT's password confidential.
o Do not specify the SYSTEM tablespace for the PERFSTAT users DEFAULT or TEMPORARY tablespaces. If SYSTEM is specified, the installation will terminate with an error indicating this is the problem. This is enforced as Oracle does not recommend using the SYSTEM tablespace to store statistics data, nor for workareas. Use the SYSAUX (or a TOOLS) tablespace to store the data, and your instance's TEMPORARY tablespace for workareas.
o During the installation, the dbms_shared_pool PL/SQL package is created. Dbms_shared_pool is used to pin the Statspack
package in the shared pool. Dbms_job is no longer created as part of the installation, as it is already created by catproc.sql (dbms_job can be used by the DBA to schedule periodic snapshots automatically).
To install the package, either change directory to the ORACLE_HOME rdbms/admin directory, or fully specify the ORACLE_HOME/rdbms/admin directory when calling the installation script, spcreate.
To run the installation script, you must use SQL*Plus and connect as a user with SYSDBA privilege.
e.g. Start SQL*Plus, then:
on Unix:
SQL> connect / as sysdba
SQL> @?/rdbms/admin/spcreate
on Windows:
SQL> connect / as sysdba
SQL> @%ORACLE_HOME%\rdbms\admin\spcreate
The spcreate install script runs 3 other scripts - you do not need to run these - these scripts are called automatically:
1. spcusr -> creates the user and grants privileges
2. spctab -> creates the tables
3. spcpkg -> creates the package
Check each of the three output files produced (spcusr.lis, spctab.lis, spcpkg.lis) by the installation to ensure no errors were encountered, before continuing on to the next step.
Note that there are two ways to install Statspack - interactively (as shown above), or in 'batch' mode; batch mode is useful when you do not wish to be prompted for the PERFSTAT user's password, and default and temporary tablespaces.
Batch mode installation
~~~~~~~~~~~~~~~~~~~~~~~
To install in batch mode, you must assign values to the SQL*Plus variables which specify the password and the default and temporary tablespaces before running spcreate.
The variables are:
perfstat_password -> for the password
default_tablespace -> for the default tablespace
temporary_tablespace -> for the temporary tablespace
e.g.
on Unix:
SQL> connect / as sysdba
SQL> define default_tablespace='tools'
SQL> define temporary_tablespace='temp'
SQL> define perfstat_password='erg8oiw'
SQL> @?/rdbms/admin/spcreate
SQL> undefine perfstat_password
spcreate will no longer prompt for the above information.
2.3. Errors during installation
A possible error during installation is to specify the SYSTEM tablespace for the PERFSTAT user's DEFAULT or TEMPORARY tablespace. In such a situation, the installation will fail, stating the problem.
To correctly install Statspack after such errors, first run the
de-install script, then the install script. Both scripts must be run from SQL*Plus.
e.g. Start SQL*Plus, connect as a user with SYSDBA privilege, then:
SQL> @spdrop
SQL> @spcreate
3. Gathering data - taking a snapshot
The simplest interactive way to take a snapshot is to login to SQL*Plus as the PERFSTAT user, and execute the procedure statspack.snap:
e.g.
SQL> connect perfstat/perfstat_password
SQL> execute statspack.snap;
Note: In a Clustered database environment, you must connect to the instance you wish to collect data for.
This will store the current values for the performance statistics in the Statspack tables and can be used as a baseline snapshot
for comparison with another snapshot taken at a later time.
For better performance analysis, set the initialization parameter timed_statistics to true. This way, Statspack data collected will include important timing information. The timed_statistics parameter is also dynamically changeable using the 'alter system' command. Timing data is important and is usually required by Oracle support to diagnose performance problems.
The default level of data collection is level 5. It is possible to change the amount of data captured by changing the snapshot level and the default thresholds used by Statspack. For information on how to do this, please see the 'Configuring the amount of data captured' section of this file.
Typically, in the situation where you would like to automate the gathering and reporting phases (such as during a benchmark), you may need to know the snap_id of the snapshot just taken. To take a snapshot and display the snap_id, call the statspack.snap function. Below is an example of calling the snap function using an anonymous PL/SQL block in SQL*Plus:
e.g.
SQL> variable snap number;
SQL> begin :snap := statspack.snap; end;
2 /
PL/SQL procedure successfully completed.
SQL> print snap
SNAP
----------
12
3.1. Automating Statspack statistics gathering
To be able to make comparisons of performance from one day, week or year to the next, there must be multiple snapshots taken over a period of time.
The best method to gather snapshots is to automate the collection on a regular time interval. It is possible to do this:
- within the database, using the Oracle dbms_job procedure to schedule the snapshots
- using Operating System utilities. On Unix systems, you could use utilities such as 'cron' or 'at'. On Windows, you could schedule a task (e.g. via Start> Programs> Accessories> System Tools> Scheduled Tasks).
3.2. Using dbms_job
To use an Oracle-automated method for collecting statistics, you can use dbms_job. A sample script on how to do this is supplied in spauto.sql, which schedules a snapshot every hour, on the hour.
You may wish to schedule snapshots at regular times each day to reflect your system's OLTP and/or batch peak loads. For example take snapshots at 9am, 10am, 11am, 12 midday and 6pm for the OLTP load, then a snapshot at
12 midnight and another at 6am for the batch window.
In order to use dbms_job to schedule snapshots, the job_queue_processes initialization parameter must be set to a value greater than 0 for the job to run automatically.
Example of setting the job_queue_processes parameter in an init.ora file:
# Set to enable the job queue process to start. This allows dbms_job
# to schedule automatic statistics collection using STATSPACK
job_queue_processes=1
If using spauto.sql in a Clustered database environment, the spauto.sql script must be run once on each instance in the cluster. Similarly, the job_queue_processes parameter must also be set for each instance.
Changing the interval of statistics collection
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
To change the interval of statistics collection use the dbms_job.interval procedure
e.g.
execute dbms_job.interval(1,'SYSDATE+(1/48)');
Where 'SYSDATE+(1/48)' will result in the statistics being gathered each 1/48th of a day (i.e. every 30 minutes).
To force the job to run immediately, execute dbms_job.run(
To remove the auto collect job,
execute dbms_job.remove();
For more information on dbms_job, see the Supplied Packages Reference Manual.
4. Running the Performance reports
Once snapshots are taken, it is possible to generate a performance report.
There are two reports available - an Instance report, and a SQL report:
- The Instance Report (spreport.sql and sprepins.sql) is a general instance health report, covering all aspects of instance
performance. The instance report calculates and prints ratios, increases etc. for all statistics between the two snapshot periods
in a similar way to the BSTAT/ESTAT report.
Note: spreport.sql calls sprepins.sql. ,first defaulting the dbid and instance number of the instance you are connected to. For more information on the difference between sprepins and spreport, see the 'Running the instance report when there are multiple
instances' section of this document.
- The SQL report (sprepsql.sql and sprsqins.sql) is a report for a specific SQL statement. The SQL report is usually
run after examining the high-load SQL sections of the instance health report. The SQL report provides detailed statistics and data for a single SQL statement (as identified by the Hash Value).
Note: sprepsql.sql calls sprsqins.sql, first defaulting the dbid and instance number of the instance you are connected to. For more information on the difference between sprsqins and sprepsql, see the 'Running the SQL report when there are multiple instances' section of this document.
Both reports prompt for the beginning snapshot id, the ending snapshot id, and the report name. The SQL report additionally requests the Hash Value for the SQL statement to be reported on.
Note: It is not correct to specify begin and end snapshots where the begin snapshot and end snapshot were taken from different instance startups. In other words, the instance must not have been shutdown between the times that the begin and end snapshots were taken.
We ask that you reference file $ORACLE_HOME/rdbms/admin/spdoc.txt, as mentioned in "Goal" section above, for details on running your specific version of statspack reports.
5. Configuring the amount of data captured
Both the snapshot level and the thresholds specified will affect the amount of data Statspack captures.
5.1. Snapshot Level
It is possible to change the amount of information gathered by the package, by specifying a different snapshot 'level'. In other words, the level chosen (or defaulted) will decide the amount of data collected.
The higher the snapshot level, the more data is gathered. The default level set by the installation is level 5.
For typical usage, level 5 snapshot is effective on most sites. There are certain situations when using a level 6 snapshot is beneficial such as when taking a baseline.
The events listed below are a subset of events which should prompt taking a new baseline, using level 6:
- when taking the first snapshots
- when a new application is installed, or an application is modified/upgraded
- after gathering optimizer statistics
- before and after upgrading
The various levels are explained in detail 'Snapshot Levels - details' section of this document.
5.2. Snapshot SQL thresholds
There are other parameters which can be configured in addition to the snapshot level.
These parameters are used as thresholds when collecting data on SQL statements; data will be captured on any SQL statements that breach the specified thresholds.
Snapshot level and threshold information used by the package is stored in the stats$statspack_parameter table.
5.3. Changing the default values for Snapshot Level and SQL Thresholds
The default parameters used for taking snapshots can be changed so that they are tailored to the instance's workload.
The full list of parameters which can be passed into the modify_statspack_parameter procedure are the same as those for the
snap procedure. These are listed in the 'Input Parameters for the SNAP and MODIFY_STATSPACK_PARAMETERS procedures' section of this document.
Temporarily using new values
------------------------------
To temporarily use a snapshot level or threshold which is different to the instance's default snapshot values, simply specify the required threshold or snapshot level when taking the snapshot. This value will only be used for immediate snapshot taken - the new value will not be saved as the default.
e.g. Take a single level 6 snapshot (do not save level 6 as the default):
SQL> execute statspack.snap(i_snap_level=>6);
Saving new defaults
--------------------
If you wish to save the new value as the instance's default, you can do this either by:
o Taking a snapshot, and specifying the new defaults to be saved to the database (using statspack.snap, and using the i_modify_parameter input variable).
SQL> execute statspack.snap -
(i_snap_level=>10, i_modify_parameter=>'true');
Setting the i_modify_parameter value to true will save the new thresholds in the stats$statspack_parameter table. These thresholds will be used for all subsequent snapshots.
If the i_modify_parameter was set to false or if it were omitted, the new parameter values would not be saved. Only the snapshot taken at that point will use the specified values, any subsequent snapshots will use the preexisting values in the stats$statspack_parameter table.
o Changing the defaults immediately without taking a snapshot by using the statspack.modify_statspack_parameter procedure.can be used. For example to change the snapshot level to 10, and the SQL thresholds for buffer_gets and disk_reads, the following statement can be issued:
SQL> execute statspack.modify_statspack_parameter -
(i_snap_level=>10, i_buffer_gets_th=>10000, i_disk_reads_th=>1000);
This procedure changes the values permanently but does not take a snapshot.
5.4 Snapshot Levels - details
Levels >= 0 General performance statistics Statistics gathered:
This level and any level greater than 0 collects general performance statistics, such as: wait statistics, system events,
system statistics, rollback segment data, row cache, SGA, background events, session events, lock statistics, buffer pool statistics,
latch statistics, resource limit, enqueue statistics, and statistics for each of the following, if enabled: automatic undo management, buffer cache advisory data, auto PGA memory management, Cluster DB statistics.
Levels >= 5 Additional data: SQL Statements
This level includes all statistics gathered in the lower level(s),
and additionally gathers the performance data on high resource usage SQL statements.
In a level 5 snapshot (or above), note that the time required for the snapshot to complete is dependent on the shared_pool_size and on the number of SQL statements in the shared pool at the time the snapshot is taken. The larger the shared pool, the longer the time taken to complete the snapshot.
SQL 'Thresholds'
The SQL statements gathered by Statspack are those which exceed one of six predefined threshold parameters:
- number of executions of the SQL statement (default 100)
- number of disk reads performed by the SQL statement (default 1,000)
- number of parse calls performed by the SQL statement (default 1,000)
- number of buffer gets performed by the SQL statement (default 10,000)
- size of sharable memory used by the SQL statement (default 1m)
- version count for the SQL statement (default 20)
The values of each of these threshold parameters are used when deciding which SQL statements to collect - if a SQL statement's resource usage exceeds any one of the above threshold values, it is captured during the snapshot.
The SQL threshold levels used are either those stored in the table stats$statspack_parameter or by the thresholds specified when the snapshot is taken.
Levels >= 6 Additional data: SQL Plans and SQL Plan usage
This level includes all statistics gathered in the lower level(s)
and additionally gathers optimizer execution plans, and plan usage data for each of the high resource usage SQL statements captured.
A level 6 snapshot gathers information which is invaluable when determining whether the execution plan used for a SQL statement has changed. Therefore, level 6 snapshots should be used whenever there is the possibility a plan may change such as after large data loads or after gathering new optimizer statistics.
To capture the plan for a SQL statement, the statement must be in the shared pool at the time the snapshot is taken and must exceed one of the SQL thresholds. To gather plans for all statements in the shared pool, you can temporarily specify the executions threshold (i_executions_th) to be zero (0) for those snapshots. For information on how to do this, see the 'Changing the default values for Snapshot Level and SQL Thresholds' section of this document.
Levels >= 7 Additional data: Segment level statistics
This level includes all statistics gathered in the lower level(s) and additionally gathers the performance data on highly used segments.
A level 7 snapshot captures Segment-level statistics for segments which are heavily accessed or heavily contended for.
Segment-level statistics captured are:
- logical reads
- db block changes
- physical reads
- physical writes
- physical reads direct
- physical writes direct
- global cache cr blocks served *
- global cache current blocks served *
- buffer busy waits
- ITL waits
- row lock waits
* Denotes the Statistic is Real Application Clusters specific.
There are many uses for segment-specific statistics. Below are three examples:
- The statistics relating to physical reads and writes can help you decide to modify the physical layout of some segments (or of the tablespaces they reside in). For example, to better spread the segment IO load, you can add files residing on different disks to a tablespace storing a heavily accessed segment, or you can (re)partition a segment.
- High numbers of ITL waits for a specific segment may indicate a need to change segment storage attributes such as PCTFREE and/or INITRANS.
- In a Real Application Clusters database, global cache statistics make it easy to spot the segments responsible for much of the
cross-instance traffic.
Although Statspack captures all segment statistics, it only displays the following statistics in the Instance report:
- logical reads
- physical reads
- buffer busy waits
- ITL waits
- row lock waits
- global cache cr blocks served *
- global cache current blocks served *
Segment statistics 'Thresholds'
The segments for which statistics are gathered are those whose statistics exceed one of the following seven threshold parameters:
- number of logical reads on the segment (default 10000)
- number of physical reads on the segment (default 1000)
- number of buffer busy waits on the segment (default 100)
- number of row lock waits on the segment (default 100)
- number of ITL waits on the segment (default 100)
- number of global cache Consistent Read blocks served* (default 1000)
- number of global cache CUrrent blocks served* (default 1000)
The values of each of these thresholds are used when deciding which segments to collect statistics for. If any segment's statistic value exceeds its corresponding threshold value, all statistics for this segment are captured.
The threshold levels used are either those stored in the table stats$statspack_parameter, or by the thresholds specified when
the snapshot is taken.
Levels >= 10 Additional statistics: Parent and Child latches
This level includes all statistics gathered in the lower levels, and additionally gathers Parent and Child Latch information. Data
gathered at this level can sometimes cause the snapshot to take longer to complete i.e. this level can be resource intensive, and should only be used when advised by Oracle personnel.
5.5. Specifying a Session Id
If you would like to gather session statistics and wait events for a particular session (in addition to the instance statistics and wait events), it is possible to specify the session id in the call to Statspack. The statistics gathered for the session will include session statistics, session events and lock activity. The default behaviour is to not to gather session level statistics.
SQL> execute statspack.snap(i_session_id=>3);
Note that in order for session statistics to be included in the report output, the session's serial number (serial#) must be the same in the begin and end snapshot. If the serial numbers differ, it means the session is not the same session, so it is not valid to generate session statistics. If the serial numbers differ, the following warning will appear (after the begin/end snapshot has been entered by the user) to signal the session statistics cannot be printed:
WARNING: SESSION STATISTICS WILL NOT BE PRINTED, as session statistics captured in begin and end snapshots are for different sessions (Begin Snap sid,serial#: 10,752, End Snap sid,serial#: 10,754).
5.6. Input Parameters for the SNAP and MODIFY_STATSPACK_PARAMETERS procedures
Parameters able to be passed in to the statspack.snap and statspack.modify_statspack_parameter procedures are as follows:
Range of Default
Parameter Name Valid Values Value Meaning
---------------------------------------------------
i_snap_level 0,5,6,7,10 5 Snapshot Level
i_ucomment Text
i_executions_th Integer >=0 100 SQL Threshold: number of times the statement was executed
i_disk_reads_th Integer >=0 1,000 SQL Threshold: number of disk reads the statement made
i_parse_calls_th Integer >=0 1,000 SQL Threshold: number of parse
calls the statement made
i_buffer_gets_th Integer >=0 10,000 SQL Threshold: number of buffer gets the statement made
i_sharable_mem_th Integer >=0 1048576 SQL Threshold: amount of sharable memory
i_version_count_th Integer >=0 20 SQL Threshold: number of versions of a SQL statement
i_seg_phy_reads_th Integer >=0 1,000 Segment statistic Threshold: number of physical reads on a segment.
i_seg_log_reads_th Integer >=0 1,0000 Segment statistic Threshold: number of logical reads on a segment.
i_seg_buff_busy_th Integer >=0 100 Segment statistic Threshold: number of buffer busy waits for a segment.
i_seg_rowlock_w_th Integer >=0 100 Segment statistic Threshold: number of row lock waits for a segment.
i_seg_itl_waits_th Integer >=0 100 Segment statistic Threshold: number of ITL waits for a segment.
i_seg_cr_bks_sd_th Integer >=0 1000 Segment statistic Threshold: number of Consistent Reads blocks served by the instance for the segment*.
i_seg_cu_bks_sd_th Integer >=0 1000 Segment statistic Threshold: number of CUrrent blocks served by the instance for the segment*.
i_session_id Valid sid 0 (no Session Id of the Oracle Session from session) to capture session granular v$session statistics for
i_modify_parameter True,False False Save the parameters specified for future snapshots?
6. Time Units used for Performance Statistics
Oracle now supports capturing certain performance data with millisecond and
microsecond granularity.
Views which include microsecond timing include:
- v$session_wait, v$system_event, v$session_event (time_waited_micro column)
- v$sql, v$sqlarea (cpu_time, elapsed_time columns)
- v$latch, v$latch_parent, v$latch_children (wait_time column)
- v$sql_workarea, v$sql_workarea_active (active_time column)
Views which include millisecond timings include:
- v$enqueue_stat (cum_wait_time)
Note that existing columns in other views continue to capture centi-second
times.
As centi-second and microsecond timing may not be appropriate for rolled
up data such as that displayed by Statspack. Statspack displays most
cumulative times in seconds, and average times in milliseconds (for easier
comparison with Operating System monitoring utilities which often report
timings in milliseconds).
For clarity, the time units used are specified in the column headings of
each timed column in the Statspack report. The convention used is as following:
(s) - a second
(cs) - a centisecond - which is 100th of a second
(ms) - a millisecond - which is 1,000th of a second
(us) - a microsecond - which is 1,000,000th of a second
7. Event Timings
If timings are available, the Statspack report will order wait events by time
(in the Top-5 and background and foreground Wait Events sections).
If timed_statistics is false for the instance but a subset of users or
programs set timed_statistics set to true dynamically, the Statspack report
output may look inconsistent. Some events will have timings (those which the
individual programs/users waited for) and the remaining events will not.
The Top-5 section will also look unusual in this situation.
Optimally, timed_statistics should be set to true at the instance level for
ease of diagnosing performance problems.
8. Managing and Sharing performance data
8.1. Baselining performance data
It is possible to identify snapshot data worthy of keeping which will not
be purged by the Statspack purge. This is called baselining. Once you have
determined which snap Ids or times of day most represent a particular
workload whose performance data you would like to keep, you can mark the
data representing those times as baselines. Baselined snapshots will not
be purged by the Statspack purge.
If you later decide you no longer want to keep previously baselined
snapshots, you can clear the baseline (clearing the baseline does not
remove the data, it just identifies the data as candidates for purging).
NOTE: Statspack baseline does not perform any consistency checks on the
snapshots requested to be baselined (e.g. it does not check whether
the specified baselines span an instance shutdown). Instead, the
baseline feature merely marks Snapshot rows as worthy of keeping
while other data can be purged.
New procedures and functions have been added to the Statspack package to
make and clear baselines: MAKE_BASELINE and CLEAR_BASELINE. Both of these
are able to accept varying parameters (e.g. snap Ids, or dates, etc) and
can be called either as a procedure or as a function (the function returns
the number of rows operated on whereas the procedure does not).
Snap Ids or Begin/End dates
---------------------------
The Statspack MAKE_BASELINE procedures and functions provide flexibility in
the manner baselines are made or cleared. These can take various input
parameters:
- Begin Snap Id and End Snap Id
A begin and end snap Id pair can be specified. In this case, you choose
either to baseline the range of snapshots between the begin and end
snapshot pair or just the two snapshots. The default is to baseline
the entire range of snapshots.
- Begin Date and End Date
A begin and end date pair can be specified. All snapshots which fall in
the date range specified will be marked as baseline data.
Similarly to the MAKE_BASELINE procedures and functions, the CLEAR_BASELINE
procedures and functions accept the same arguments.
Procedure or Function
---------------------
It is possible to call either the MAKE_BASELINE procedure or the
MAKE_BASELINE function. The only difference is the MAKE_BASELINE function
returns the number of snapshots baselined whereas the MAKE_BASELINE
procedure does not.
Similarly, the CLEAR_BASELINE procedure performs the same task as the
CLEAR_BASELINE function. However, the function returns the number of
baselined snapshots which were cleared (i.e. no longer identified as
baselines).
8.1.1. Input Parameters for the MAKE_BASELINE and CLEAR_BASELINE
procedure and function which accept Begin and End Snap Ids
This section describes the input parameters for the MAKE_BASELINE and
CLEAR_BASELINE procedure and function which accept Snap Ids. The input
parameters for both MAKE and CLEAR baseline are identical. The
procedures/functions will either baseline (or clear the baseline for) the
range of snapshots between the begin and end snap Ids identified (the
default), or if i_snap_range parameter is FALSE, will only operate on
the two snapshots specified.
If the function is called, it will return the number of snapshots
operated on.
Range of Default
Parameter Name Valid Values Value Meaning
------------------ ----------------- ------- -------------------------------
i_begin_snap Any Valid Snap Id - SnapId to start the baseline at
i_end_snap Any valid Snap Id - SnapId to end the baseline at
i_snap_range TRUE/FALSE TRUE Should the range of snapshots
between the begin and end snap
be included?
i_dbid | Any valid DBId/ Current Caters for RAC databases
i_instance_number | inst number DBId/ where you may wish to baseline
combination Inst # snapshots on one instance
in this which were physically taken
Statspack on another instance
schema
Example 1:
To make a baseline of snaps 45 and 50 including the range of snapshots
in between (and you do not wish to know the number of snapshots
baselined, so call the MAKE_BASELINE procedure),log into the PERFSTAT
user in SQL*Plus and execute statspack.make_baseline :
SQL> exec statspack.make_baseline -
(i_begin_snap => 45, -
i_end_snap => 50);
Or without specifying the parameter names:
SQL> exec statspack.make_baseline(45, 50);
Example 2:
To make a baseline of snaps 1237 and 1241 (including the range of
snapshots in between), and be informed of the number of snapshots
baselined (by calling the function), log into the PERFSTAT
user in SQL*Plus, and:
SQL> variable num_snaps number;
SQL> begin
SQL> :num_snaps := statspack.make_baseline(1237, 1241);
SQL> end;
SQL> /
SQL> print num_snaps
Example 3:
To make a baseline of only snapshots 1237 and 1241 (excluding the
snapshots in between), log into the PERFSTAT user in SQL*Plus,
and:
SQL> exec statspack.make_baseline(5, 12, false);
All of the prior examples apply equally to CLEAR_BASELINE.
8.1.2. Input Parameters for the MAKE_BASELINE and CLEAR_BASELINE
procedure and function which accept Begin and End Dates
The input parameters for the MAKE_BASELINE and CLEAR_BASELINE procedure and
function which accept begin and end dates are identical. The procedures/
functions will either baseline (or clear the baseline for) all snapshots
which were taken between the begin and end dates identified.
Range of Default
Parameter Name Valid Values Value Meaning
------------------ ----------------- ------- -------------------------------
i_begin_date Any valid date - Date to start the baseline at
i_end_date Any valid date > - Date to end baseline at
begin date
i_dbid | Any valid DBId/ Current Caters for RAC databases
i_instance_number | inst number DBId/ where you may wish to baseline
combination Inst # snapshots on one instance
in this which were physically taken
Statspack on another instance
schema
Example 1:
To make a baseline of snapshots taken between 12-Feb-2003 at 9am, and
12-Feb-2003 at 12 midday (and be informed of the number of snapshots
affected), call the MAKE_BASELINE function. Log into the PERFSTAT
user in SQL*Plus, and:
SQL> variable num_snaps number;
SQL> begin
SQL> :num_snaps := statspack.make_baseline
(to_date('12-FEB-2003 09:00','DD-MON-YYYY HH24:MI'),
to_date('12-FEB-2003 12:00','DD-MON-YYYY HH24:MI'));
SQL> end;
SQL> /
SQL> print num_snaps
Example 2:
To clear an existing baseline which covers the times 13-Dec-2002 at
11pm and 14-Dec-2002 at 2am (without wanting to know how many
snapshots were affected), log into the PERFSTAT user in SQL*Plus, and:
SQL> exec statspack.clear_baseline -
(to_date('13-DEC-2002 23:00','DD-MON-YYYY HH24:MI'), -
to_date('14-FEB-2002 02:00','DD-MON-YYYY HH24:MI'));
8.2. Purging/removing unnecessary data
It is possible to purge unnecessary data from the PERFSTAT schema using the
PURGE procedures/functions. Any Baselined snapshots will not be purged.
NOTE:
o It is good practice to ensure you have sufficient baselined snapshots
before purging data.
o It is recommended you export the schema as a backup before running this
script, either using your own export parameters, or those provided in
spuexp.par
o WARNING: It is no longer possible to rollback a requested purge operation.
o The functionality which was in the sppurge.sql SQL script has been moved
into the STATSPACK package. Moving the purge functionality into the
STATSPACK package has allowed significantly more flexibility in how
the data to be purged can be specified by the performance engineer.
Purge Criteria for the STATSPACK PURGE procedures and functions
---------------------------------------------------------------
Data to be purged can either be specified by:
- Begin Snap Id and End Snap Id
A begin and end snap Id pair can be specified. In this case, you choose
either to purge the range of snapshots between the begin and end
snapshot pair (inclusive, which is the default), or just the two
snapshots specified.
The preexisting Statspack sppurge.sql SQL script has been modified to
use this PURGE procedure (which purges by begin/end snap Id range).
- Begin Date and End Date
A begin and end date pair can be specified. All snapshots which were
taken between the begin and end date will be purged.
- Purge before date
All snapshots which were taken before the specified date will be purged.
- Number of days (N)
All snapshots which were taken N or more days prior to the current date
and time (i.e. SYSDATE) will be purged.
Extended Purge
--------------
In prior releases, Statspack identifier tables which contained SQL Text,
SQL Execution plans, and Segment identifiers were not purged.
It is now possible to purge the unreferenced data in these tables. This is
done by requesting the 'extended purge' be performed at the same time as
the normal purge. Requesting the extended purge be performed along with a
normal purge is simply a matter of setting the input parameter
i_extended_purge to TRUE when calling the regular purge.
Purging this data may be resource intensive, so you may choose to perform
an extended purge less frequently than the normal purge.
Procedure or Function
---------------------
Each of the purge procedures has a corresponding function. The function
performs the same task as the procedure, but returns the number of
Snapshot rows purged (whereas the procedure does not).
8.2.1. Input Parameters for the PURGE procedure and function
which accept Begin Snap Id and End Snap Id
This section describes the input parameters for the PURGE procedure and
function which accept Snap Ids. The input parameters for both procedure
and function are identical. The procedure/function will purge all
snapshots between the begin and end snap Ids identified (inclusive, which
is the default), or if i_snap_range parameter is FALSE, will only purge
the two snapshots specified. If i_extended_purge is TRUE, an extended purge
is also performed.
If the function is called, it will return the number of snapshots purged.
Range of Default
Parameter Name Valid Values Value Meaning
------------------ ----------------- ------- -------------------------------
i_begin_snap Any Valid Snap Id - SnapId to start purging from
i_end_snap Any valid Snap Id - SnapId to end purging at
i_snap_range TRUE/FALSE TRUE Should the range of snapshots
between the begin and end snap
be included?
i_extended_purge TRUE/FALSE FALSE Determines whether unused
SQL Text, SQL Plans and
Segment Identifiers will be
purged in addition to the
normal data purged
i_dbid | Any valid DBId/ Current Caters for RAC databases
i_instance_number | inst number DBId/ where you may wish to baseline
combination Inst # snapshots on one instance
in this which were physically taken
Statspack on another instance
schema
Example 1:
Purge all snapshots between the specified begin and end snap ids. Also
purge unused SQL Text, SQL Plans and Segment Identifiers, and
return the number of snapshots purged. Log into the PERFSTAT user
in SQL*Plus, and:
SQL> variable num_snaps number;
SQL> begin
SQL> :num_snaps := statspack.purge
( i_begin_snap=>1237, i_end_snap=>1241
, i_extended_purge=>TRUE);
SQL> end;
SQL> /
SQL> print num_snaps
8.2.2. Input Parameters for the PURGE procedures and functions
which accept Begin Date and End Date
This section describes the input parameters for the PURGE procedure and
function which accept a begin date and an end date. The procedure/
function will purge all snapshots taken between the specified begin and
end dates. The input parameters for both procedure and function are
identical. If i_extended_purge is TRUE, an extended purge is also performed.
If the function is called, it will return the number of snapshots purged.
Range of Default
Parameter Name Valid Values Value Meaning
------------------ ----------------- ------- -------------------------------
i_begin_date Date - Date to start purging from
i_end_date End date > begin - Date to end purging at
date - SnapId to end the baseline at
i_extended_purge TRUE/FALSE FALSE Determines whether unused
SQL Text, SQL Plans and
Segment Identifiers will be
purged in addition to the
normal data purged
i_dbid | Any valid DBId/ Current Caters for RAC databases
i_instance_number | inst number DBId/ where you may wish to baseline
combination Inst # snapshots on one instance
in this which were physically taken
Statspack on another instance
schema
Example 1:
Purge all snapshots which fall between 01-Jan-2003 and 02-Jan-2003.
Also perform an extended purge. Log into the PERFSTAT user in
SQL*Plus, and:
SQL> exec statspack.purge -
(i_begin_date=>to_date('01-JAN-2003', 'DD-MON-YYYY'), -
i_end_date =>to_date('02-JAN-2003', 'DD-MON-YYYY'), -
i_extended_purge=>TRUE);
8.2.3. Input Parameters for the PURGE procedure and function
which accept a single Purge Before Date
This section describes the input parameters for the PURGE procedure and
function which accept a single date. The procedure/function will purge
all snapshots older than the date specified. If i_extended_purge is TRUE,
also perform an extended purge. The input parameters for both
procedure and function are identical.
If the function is called, it will return the number of snapshots purged.
Range of Default
Parameter Name Valid Values Value Meaning
------------------ ----------------- ------- -------------------------------
i_purge_before_date Date - Snapshots older than this date
will be purged
i_extended_purge TRUE/FALSE FALSE Determines whether unused
SQL Text, SQL Plans and
Segment Identifiers will be
purged in addition to the
normal data purged.
i_dbid | Any valid DBId/ Current Caters for RAC databases
i_instance_number | inst number DBId/ where you may wish to baseline
combination Inst # snapshots on one instance
in this which were physically taken
Statspack on another instance
schema
Example 1:
To purge data older than a specified date, without wanting to know the
number of snapshots purged, log into the PERFSTAT user in SQL*Plus,
and:
SQL> exec statspack.purge(to_date('31-OCT-2002','DD-MON-YYYY'));
8.2.4. Input Parameters for the PURGE procedure and function
which accept the Number of Days of data to keep
This section describes the input parameters for the PURGE procedure and
function which accept the number of days of snapshots to keep. All data
older than the specified number of days will be purged. The input
parameters for both procedure and function are identical. If
i_extended_purge is TRUE, also perform an extended purge.
If the function is called, it will return the number of snapshots purged.
Range of Default
Parameter Name Valid Values Value Meaning
------------------ ----------------- ------- -------------------------------
i_num_days Number > 0 - Snapshots older than this
number of days will be purged
i_extended_purge TRUE/FALSE FALSE Determines whether unused
SQL Text, SQL Plans and
Segment Identifiers will be
purged in addition to the
normal data purged
i_dbid | Any valid DBId/ Current Caters for RAC databases
i_instance_number | inst number DBId/ where you may wish to baseline
combination Inst # snapshots on one instance
in this which were physically taken
Statspack on another instance
schema
Example 1:
To purge data older than 31 days, without wanting to know the number
of snapshots operated on, log into the PERFSTAT user in SQL*Plus, and:
SQL> exec statspack.purge(31);
8.2.5. Using sppurge.sql
When sppurge is run, the instance currently connected to, and the
available snapshots are displayed. The DBA is then prompted for the
low Snap Id and high Snap Id. All snapshots which fall within this
range will be purged.
WARNING: sppurge.sql has been modified to use the new Purge functionality
in the STATSPACK package, therefore it is no longer possible to
rollback a requested purge operation - the purge is automatically
committed.
e.g. Purging data - connect to PERFSTAT using SQL*Plus, then run the
sppurge.sql script - sample example output appears below.
SQL> connect perfstat/perfstat_password
SQL> set transaction use rollback segment rbig;
SQL> @sppurge
Database Instance currently connected to
========================================
Instance
DB Id DB Name Inst Num Name
----------- ---------- -------- ----------
720559826 PERF 1 perf
Snapshots for this database instance
====================================
Base- Snap
Snap Id Snapshot Started line? Level Host Comment
-------- --------------------- ----- ----- --------------- --------------------
1 30 Feb 2000 10:00:01 6 perfhost
2 30 Feb 2000 12:00:06 Y 6 perfhost
3 01 Mar 2000 02:00:01 Y 6 perfhost
4 01 Mar 2000 06:00:01 6 perfhost
WARNING
~~~~~~~
sppurge.sql deletes all snapshots ranging between the lower and
upper bound Snapshot Id's specified, for the database instance
you are connected to. Snapshots identified as Baseline snapshots
which lie within the snapshot range will not be purged.
It is NOT possible to rollback changes once the purge begins.
You may wish to export this data before continuing.
Specify the Lo Snap Id and Hi Snap Id range to purge
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Enter value for losnapid: 1
Using 1 for lower bound.
Enter value for hisnapid: 2
Using 2 for upper bound.
Deleting snapshots 1 - 2
Purge of specified Snapshot range complete.
SQL> -- end of example output
Batch mode purging
------------------
To purge in batch mode, you must assign values to the SQL*Plus
variables which specify the low and high snapshot Ids to purge.
The variables are:
losnapid -> Begin Snapshot Id
hisnapid -> End Snapshot Id
e.g.
SQL> connect perfstat/perfstat_password
SQL> define losnapid=1
SQL> define hisnapid=2
SQL> @sppurge
sppurge will no longer prompt for the above information.
8.3. Removing all data
If you wish to truncate all performance data indiscriminately, it is
possible to do this using sptrunc.sql This script truncates all
statistics data gathered, including snapshots marked as baselines.
NOTE:
It is recommended you export the schema as a backup before running this
script either using your own export parameters, or those provided in
spuexp.par
If you run sptrunc.sql in error, the script allows you to exit before
beginning the truncate operation (you do this at the 'begin_or_exit'
prompt by typing in 'exit').
To truncate all data, connect to the PERFSTAT user using SQL*Plus,
and run the script - sample output which truncates data is below:
SQL> connect perfstat/perfstat_password
SQL> @sptrunc
Warning
~~~~~~~
Running sptrunc.sql removes ALL data from Statspack tables. You may
wish to export the data before continuing.
About to Truncate Statspack Tables
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
If would like to exit WITHOUT truncating the tables, enter any text at the
begin_or_exit prompt (e.g. 'exit'), otherwise if you would like to begin
the truncate operation, press
Enter value for begin_or_exit:
Entered at the 'begin_or_exit' prompt
... Starting truncate operation
Table truncated.
Table truncated.
Commit complete.
Package altered.
... Truncate operation complete
8.4. Sharing data via export
If you wish to share data with other sites (for example if Oracle
Support requires the raw statistics), it is possible to export
the PERFSTAT user.
An export parameter file (spuexp.par) has been supplied for this
purpose. To use this file, supply the export command with the
userid parameter, along with the export parameter file name.
e.g.
exp userid=perfstat/perfstat_password parfile=spuexp.par
This will create a file called spuexp.dmp and the log file spuexp.log
If you wish to load the data into another database, use the import
command. For more information on using export and import, please
see the Oracle Utilities manual.
9. New and Changed Features
9.1. Changes between 10.1 and 10.2
Changes on the Summary Page of the Instance Report
o The front summary page of the instance report has been modified to show
- Host CPU and Memory configuration
- begin/end buffer cache and shared pool sizes (end values are only
shown if they differ from the begin values)
- Ave Wait (ms) for the Top-5 Timed Events section
Continuation of Summary Page on Page 2
o Page 2 of the Statspack report should be considered a continuation of
the front-page summary of the Statspack report. This page includes:
- Memory and CPU statistics captured by Oracle in the v$osstat view
- ratios derived from v$osstat and the Time model data
(v$sys_time_model)
- the raw Time-model system statistics data
These statistics should be consulted in conjunction with page 1 data
during the initial performance analysis stage, when formulating the
list of potential drill-down data to examine:
o The Operating System statistics data should be used to identify
whether the host is CPU bound, and if so, how much this Oracle
instance is contributing to the CPU usage.
o The Memory usage statistics show how much of physical memory is
consumed, and how much physical memory is used by the SGA and
PGA for this instance.
Please note that not all of the OS statistics are available on all
platforms.
Sections moved in the Instance Report
o The Time Model System Stats section has moved to page 2 of the report
(see Continuation of Summary Page on Page 2, above).
o The OS Stats section has been moved to follow the System Statistics
sections.
Modified sections of the Instance Report
o The Wait Events and Background Wait Events section of the report have
been modified to only show events with a total wait time of > .001s
to filter out unimportant events.
o The Timeouts column in the System Event and Background Event sections have
changed to be %Timeouts (as compared to Waits). Note that to avoid
loss of data, a %Timeouts value of 0 indicates timeouts occurred in < .5%.
A value of null indicates 0 timeouts.
o The SGA regions section of the report now shows the Begin and End sizes
of the various regions (the end sizes are only shown if different to
the begin sizes).
o The File IO Histogram section has been modified to include a new
bucket (<=2ms).
o The Buffer Pool Statistics section now shows the number of buffers in
K, M or G (where K is 1000 buffers, M is 1000000 buffers and G
is 1000000000 buffers)
o Omitting sections from the Statspack report
- The Rollstat sections of the report are omitted from the output when
Automatic Undo Management is used. If you still wish to see these
sections when using AUM, modify the display_rollstat parameter in
the sprepcon.sql file.
- It is also possible to avoid including the following sections in the
Instance report. However modifying these default settings is not
recommended, as valuable data may be missing during performance
diagnosis.
o Undo stat (Automatic Undo data)
o File IO details
o Undo Segment Summary section now also shows the Min and Max values for
Tuned Undo Retention.
Changes in Data captured/reported on - Level 1
o The v$sgastat view has been modified in 10gR2 to show separate
rows for all memory allocations, without the summary 'Miscellaneous'
row. This now results over 500 individual rows.
To avoid capturing excessive and unneeded data, Statspack has been
optimized to capture only that data which will be useful when
investigating memory usage. It is expected Statspack will capture
in the order of 50 rows per snapshot.
To avoid showing all of these rows in the report, only the top rows
are shown (by default 35 rows are shown, although this can be
increased if needed by modifying the sgastat_top_n in sprepcon.sql).
New sections of the Instance Report
o Some SGA resizes can be detected by Statspack, when the individual
cache sizes are different at the time the snapshot is taken.
Any changes in cache sizes visible at snapshot time are shown
in the Cache Size Changes section of the report.
o Two new SQL sections have been added - SQL ordered by CPU and
SQL ordered by Elapsed time. These are now the first two
SQL sections (i.e. they appear before 'SQL ordered by Gets')
New thresholds for CPU and Elapsed time were not added to the data
capture, as it is believed that the top SQL in these categories
is already being captured by the existing thresholds.
o Two new process (PGA) memory sections have been added to the
Statspack Instance report:
o Process Memory Summary Stats, which shows a summary
of process memory allocation and usage for both begin and
end snapshots
o Top Process Memory (by component), which shows process
information for the process which have the most memory
allocated, broken down by component (for the begin and
end snapshots).
o The SQL Memory Statistics section has been added. This section
displays a summary of memory usage statistics for cursors.
New Data captured/reported on - Level 1
SGA Target Advisory (from v$sga_target)
Streams Pool Advisory (from v$streams_pool_advice)
PGA Memory usage (from v$process, and v$process_memory)
(see New sections of the instance report above for more
information)
Real Application Cluster Features
o The 'RAC Statistics' page now computes the estimated interconnect
traffic in KB/sec (Estd Interconnect traffic (KB/s)) in the Global
Cache Load Profile section.
o v$class_cache_transfer is no longer captured (and the corresponding
Statspack table has been dropped). Instead Statspack now captures
v$instance_cache_transfer.
o Dynamic Remastering Statistics section had been added.
SQL Report (sprepsql.sql)
o The time a plan was last active is shown in the SQL report for each
known plan.
Obsoleted data
o The sleeps 1-3 columns have been obsoleted in this release,
therefore Statspack no longer captures, nor reports on this
data (for v$latch_parent, v$latch_children, v$latch)
9.2. Changes between 9.2 and 10.1
Baseline
It is now possible to identify snapshots which you wish to keep. These
snapshots are termed baselined snapshots. Baselined snapshots will not
be purged by the Statspack purge. For more information, see section
'Baselining performance data'
Purge
The purge code has been moved from sppurge.sql into the STATSPACK
package, and has been significantly enhanced. Having the purge
functionality in the Statspack package allows greater flexibility in
specifying which data to purge (e.g. by date range, or by purging
snapshots older than N days, etc). For more information, see section
'Purging/removing unnecessary data'.
Streams
Performance data for Streams is now captured. See section 'New Data
captured/reported - Level 1', below for more details.
V$SQL.HASH_VALUE and V$SQL.OLD_HASH_VALUE columns
The algorithm used to calculate the hash_value column in the V$SQL view
(and V$SQL* related views) has been modified in 10g. In other words, the
hash_value for a statement in Oracle 10g will not be the same as the
hash_value for that same statement in prior releases.
To allow for backward compatibility, and comparison of the performance of
SQL statements in releases prior to 10g, Statspack continues to use the
old hash value as one of the columns comprising the primary key for the
Statspack SQL related tables. The old-format hash value is visible
in the v$sql.old_hash_value column (this has been added to the V$SQL and
related views for backward compatibility).
In the Statspack reports, Statspack continues to display the old hash
value for backward compatibility (this column is clearly identified as
Old Hash Value).
For more information on the hash_value change, see 'Data Compatibility -
Changing SQL Hash Value, and new SQL Id' below.
Running the Report
o Number of Days of Snapshots to List
It is now possible to influence certain aspects of what appears in the
Instance report, including the number of days of snapshots to list when
choosing the begin and end snapshots.
The configuration is performed by modifying the 'Customer Configurable
Report Settings' section of the file sprepcon.sql.
For more information see 'Configuring the Report' section of this document.
o Error Reporting
Error reporting has been modified, so that an input error made when
running the report now results in the report terminating with the
error shown, and the session being disconnected from SQL*Plus.
The error messages have also been modified to show the actual values
which caused the errors - this makes it easier to identify why the
report has been terminated, and so how the error can be avoided.
e.g. When running spreport, if you accidentally enter a snapshot id which
does not exist, an error is reported, and the report exits.
declare
*
ERROR at line 1:
ORA-20200: Begin Snapshot Id 3469 does not exist for this database/instance
ORA-06512: at line 25
SQL sections of the Instance Report
o The SQL ordered by Gets, Reads and Parse Calls sections have all been
modified to:
- only show rows which exceed more than 1% of the total resources
used for entire interval. This reduces the number of rows which are
candidates for printing. This is identified in the title of the section.
e.g. For SQL ordered by Parse Calls, only those rows which exceed
1% of the total parse calls will be candidates for displaying
in this section.)
-> SQL reported below exceeded 1% of total Parse Calls
This line in the title of the Parse Calls section identifies that
only SQL statements which exceeded 1% of the total parse calls
incurred in the interval (specified by the begin and end snapshots)
will be included.
Note that not all of the SQL that exceeded the 1% threshold are printed
in the report, just the highest-load.
- The total number of resources used by captured statements is compared
to the total number of resources used over the entire interval (as
specified by the begin and end snapshots). This comparison helps
identify how much of the total load can be accounted for in the
high-load SQL captured.
e.g. In the title for the SQL ordered by Gets section of the report,
a line similar to the following will appear
-> Captured SQL accounts for 74.8% of total Buffer Gets
This identifies that 74.8% of the total Buffer gets incurred during
the interval is attributable to the high-load SQL captured by Statspack
(Note that not all captured statements are displayed in the report, only
those which are the highest load).
o New SQL report 'SQL ordered by Cluster Wait Time'
There is a new SQL report added to the SQL reports section. This report
lists the top-SQL ordered by Cluster Wait Time. This report may be useful
in Real Application Cluster databases.
Derived Statistics
There is one new statistic in the Instance Activity Sections which
does not come from V$SYSSTAT: 'log switches (derived)'.
This statistic is derived from the v$thread view which Statspack now
captures. This statistic is shown in a new Instance Activity Stats sections
of the instance report, as described below.
Two new Instance Activity Stats sections
There are two new Instance Activity Stats sections in the instance report.
The first shows the begin and end absolute values of statistics which
should not be diffed (typically performing a diff is incorrect, because
the statistics show current values, rather than cumulative values).
These statistics come from v$sysstat (as do the other Instance Activity
statistics).
Instance Activity Stats DB/Inst: MAINDB/maindb Snaps: 22-23
-> Statistics with absolute values (should not be diffed)
-> Statistics identified by '(derived)' come from sources other than SYSSTAT
Statistic Begin Value End Value
--------------------------------- --------------- ---------------
logons current 10 10
opened cursors current 41 49
session cursor cache count 24 36
The second shows the number of log switches, which is derived from the
v$thread view.
Instance Activity Stats DB/Inst: MAINDB/maindb Snaps: 22-23
Statistic Total per Hour
--------------------------------- ------------------ ---------
log switches (derived) 0 .00
New Scripts
o sprsqins.sql - Reports on a single SQL statement (i.e. hash_value),
including the SQL statistics for the snapshot, the
complete SQL text and optimizer execution plan information.
This report differs from sprepsql.sql, in that it
can report on a SQL statement for any instance which
the PERFSTAT schema contains, whereas sprepsql.sql defaults
the dbid and instance number to the instance you are
currently connected to, thus restricting reporting of
SQL statements to those related to that instance only.
sprsqins.sql will prompt for a dbid, instance_number,
begin and end snap id's and the hash value of the SQL
statement to report on.
This report can be used when importing data from another
instance, or in a Real Application Clusters environment
to report on an instance which you are not directly
connected to.
o sprepcon.sql - This file contains SQL*Plus parameters which determine
some aspects of what is printed out in the Statspack
Instance report spreport.sql For more details on what
is configurable, see the sprepcon.sql file itself.
New Data captured/reported on - Level 1
Time Model data (from v$sys_time_model and v$sess_time_model)
Operating System statistics (from v$osstat)
Streams statistics (from
Streams Capture - v$streams_capture
Streams Apply - v$streams_apply_coordinator/reader/server
Propagation Sender - v$propagation_sender, dba_queue_schedules
Propagation Receiver - v$propagation_receiver
Buffered Queues - v$buffered_queues
Buffered Queue Subscribers - v$buffered_subscribers
Rule Sets - v$rule_set
Additional RAC Sections (from v$cr_block_server, v$current_block_server,
v$class_cache_transfer)
Enqueue Statistics (from v$enqueue_statistics, rather than v$enqueue_stat)
Java Pool Advisory (from v$java_pool_advice)
Thread information (from v$thread)
New Data captured, optionally reported on - Level 1
Event Histogram Statistics (from v$event_histogram)
(only displayed if SQL*Plus variable event_histogram = Y)
File Histogram Statistics (from v$datafile_histogram and
v$tempfile_histogram)
(only displayed if SQL*Plus variable file_histogram = Y)
New columns added to
o stats$shared_pool_advice
estd_lc_load_time, estd_lc_load_time_factor
o stats$sql_plan
sql_id, projection, time, object_alias, object_type, qblock_name,
remarks
o stats$sql_summary
sql_id, direct_writes, application_wait_time, concurrency_wait_time,
cluster_wait_time, user_io_wait_time, plsql_exec_time, java_exec_time,
sql_profile, program_id, program_line#, end_of_fetch_count
o stats$sql_text
sql_id
o stats$undostat
maxqueryhash, maxqueryid, activeblks, unexpiredblks, expiredblks,
tuned_undoretention
Cluster Features
o Real Application Clusters Statistics page (page 2 of a clustered
database report) has been modified to add new ratios and remove ratios
considered less useful.
o The Global Enqueue Statistics section, previously on page 3 of a RAC
instance report, has been moved to behind the Library Cache Activity
statistics.
o Statistics for CR and CURRENT blocks served, and for INSTANCE CACHE
TRANSFER, have been added after Global Enqueue Statistics page.
o New SQL report 'SQL ordered by Cluster Wait Time' has been added.
9.3. Changes between 9.0 and 9.2
Changes on the Summary Page of the Instance Report (spreport.sql)
o The Top 5 Wait Events has been changed to be the Top 5 Timed Events.
What was previously the Top 5 Wait Events has been expanded to give the
Top 5 timed events within the instance: i.e. in addition to including
Wait events, this section can now include the CPU time as reported in the
'CPU used by this session' statistic. This statistic will appear in the
Top 5 only if it's value is one of the Top 5 users of time for the
snapshot interval.
Note that the name of the statistic 'CPU used by this session' will
actually appear in the Top 5 section as 'CPU Time'. The statistic
name is masked in the Top 5 to avoid the confusion of the suffix
'by this session'.
The statistic will continue to appear in the System Statistics
(SYSSTAT) section of the report as 'CPU used by this session'.
Additionally, instead of the percentage calculation being the % Total
Wait Time (which is time for each wait event divided by the total wait
time), the percentage calculation is now the % Total Call Time.
Call Time is the total time spent in database calls (i.e. the total
non-idle time spent within the database either on the CPU, or actively
waiting).
We compute 'Call Time' by adding the time spent on the CPU ('CPU used by
this session' statistic) to the time used by all non-idle wait events.
i.e.
total call time = total CPU time + total wait time for non-idle events
The % Total Call Time shown in the 'Top 5' heading on the summary page
of the report, is the time for each timed event divided by the total call
time (i.e. non-idle time).
i.e.
previously the calculation was:
time for each wait event / total wait time for all events
now the calculation is:
time for each timed event / total call time
Purpose
~~~~~~~
The purpose for including CPU time with wait events:
When tuning a system, the first step is to identify where the most of the
time is spent, in order to identify where the most productive tuning
effort should be concentrated.
The majority of time could be spent in waiting for events to complete
(and so be identifiable in the wait event data), or the system could be
consuming much CPU (for which Operating System statistics, and the Oracle
CPU statistic 'CPU used by this session' in SYSSTAT are examined).
Having the CPU Time co-located with the wait events in the Top 5 section
of the instance report makes it easier to compare the relative values
and to identify whether the most productive investigation would occur
by drilling down the wait events, or in reducing Oracle CPU usage
(e.g. by tuning SQL).
Changes on the Top SQL sections of the Report (spreport.sql)
o When specified by the application, the MODULE information is reported
just before the SQL statement itself.
This information is preceded by the mention "Module: "
New columns added to
- stats$db_cache_advice
size_factor: compares the estimated cache size with the current cache size
- stats$sql_plan
search_columns: the number of index columns with matching predicates.
access_predicates: predicates used to locate rows in an access structure.
For example, start and/or stop predicates for an index range scan.
filter_predicates: predicates used to filter rows before producing them.
- stats$sql_summary
child_latch: the library cache child latch number which protects this
SQL statement (join to v$latch_children.child#). A parent SQL
statement, and all it's children are protected by the same library
cache child latch.
fetches: the number of fetches performed for this SQL statement
New Scripts
o spup90.sql - Upgrades a 9.0 Statspack schema to the 9.2 format
New Data captured/reported on - Level 1
- Shared Pool Advisory
- PGA statistics including PGA Advisory, PGA Histogram usage
New Data captured/reported on - Level 7
- Segment level Statistics
Cluster Features
o Real Application Clusters Statistics page (page 2 of a clustered database
report) has been significantly modified to add new ratios and remove
ratios deemed less useful.
o RAC specific segment level statistics are captured with level 7
SQL Plan Usage capture changed
o The logic for capturing SQL Plan Usage data (level 6) has been modified
significantly. Instead of capturing a Plan's Usage once the first time
the plan is used and never again thereafter, the algorithm now captures
the plans used each snapshot. This allows tracking whether multiple
plans are in use concurrently, or whether a plan has reverted back to
an older plan.
Note that plan usage data is only captured for high-load SQL (this is
unchanged between 9.0 and 9.2).
Due to the significant change in data capture, it is not possible to
convert existing data. Instead, any pre-existing data will be
archived into the table STATS$SQL_PLAN_USAGE_90 (this allows querying
the archived data, should this be necessary).
sprepsql.sql
o 'All Optimizer Plan(s) for this Hash Value' change:
Instead of showing the first time a plan was seen for a specific hash
value, this section now shows each time the Optimizer Plan
changed since the SQL statement was first seen e.g. if the SQL statement
had the following plan changes:
snap ids plan hash value
-------- ---------------
1 -> 12 AAAAAAA
13 -> 134 BBBBBBB
145 -> 299 CCCCCCC
300 -> 410 AAAAAAA
Then this section of the report will now show:
snap id plan hash value
-------- ---------------
1 AAAAAAA
13 BBBBBBB
145 CCCCCCC
300 AAAAAAA
Previously, only the rows with snap_id's 1, 13 and 145 would have been
displayed, as these were the first snap Id's these plans were found.
However this data could not show that plan AAAAAA was found again in
snap_id 300.
The new output format makes it easier to see when an older plan is again
in use. This is possible due to the change in the SQL Plan Usage
capture (described above).
9.4. Changes between 8.1.7 and 9.0
Timing data
o columns with cumulative times are now displayed in seconds.
Changes on the Summary Page
o All cache sizes are now reported in M or K
New Statistics on the Summary page
o open cursors per session values for the begin and end snapshot
o comments specified when taking a snapshot are displayed for the
begin and end snapshots
Latches
o The Latch Activity, Child and Parent Latch sections have the following
additional column:
- wait_time: cumulative time spent waiting for the latch
New Scripts
o spup817.sql - Upgrades an 8.1.7 Statspack schema to the 9.0 format
o sprepsql.sql - Reports on a single hash_value, including
the SQL statistics for the snapshot, the complete SQL
text and optimizer execution plan information.
o sprepins.sql - A report which can be run to query performance data
for any instance which the PERFSTAT schema contains.
The report will prompt for a dbid, instance_number and
begin and end snap id's.
This report can be used when importing data from another
instance, or in a Real Application Clusters environment
to report on an instance which you are not directly
connected to.
New Data captured/reported on - Level 1
- Data from v$resource_limit
- If the instance is a Cluster instance, v$dlm_misc data
- Additional columns are now captured in stats$enqueue_stat
- Automatic Undo Management statistics
- Buffer Cache advisory data
- New Auto-PGA memory management data
- Support for multiple sized-block buffer pools
- Support for resizable buffer pool and shared pool
- Data from v$instance_recovery
New Snapshot Level - Level 6
- New SQL plans and SQL Plan usage information for high-load SQL
statements are captured.
Cluster Features
o There is additional derived data and statistics which are now included
in the Statspack report for a clustered database. For more information,
see the 'Cluster Specific Data' section of this document.
New SNAP function
o the call to take a snapshot can also be a PL/SQL function call which
returns the snapshot Id of the snapshot taken. Using the function rather
than the procedure is useful in situations where you wish to know the
snap_id immediately, such as when running Statspack reports in batch
mode, or during benchmark runs.
Installation
o The installation script will no longer accept the SYSTEM tablespace for
the PERFSTAT user's DEFAULT or TEMPORARY tablespace. If SYSTEM is
specified, the installation will error.
SQL
o Each SQL report has two new columns CPU Time and Elapsed Time. These
show the cumulative CPU time and Elapsed time for all executions of
that SQL statement for the snapshot period. If cumulative CPU and
Elapsed times are not shown, the CPU and Elapsed times per execute
are shown.
Changed
o The SGA Breakdown difference section of the Statspack report now
shows the difference between begin and end values as a percentage
of the begin value, rather than in bytes.
o The data in the Dictionary Cache Stats and Library Cache Activity
sections are only printed if the number of gets is greater than zero.
9.5. Changes between 8.1.6 and 8.1.7
New Statistics on the Summary page
o connections at the begin snapshot and connections at the end snapshot
Load Profile
o executes per transaction and per second
o logons per transaction and per second
Instance Efficiency
o % Non-Parse CPU: which is the parse time CPU / CPU used by this session
o Parse CPU to Parse Elapsd%: which is the parse time CPU / parse time
elapsed
o Execute to Parse %: The ratio of executions to parses
Instance Efficiency - Shared Pool Statistics are shown for the begin and
end snapshots.
o Memory Usage %: The percentage of the shared pool which is used.
o % SQL with executions>1: The percentage of reused SQL (i.e. the
percentage of SQL statements with more than one execution).
o % Memory for SQL w/exec>1: The percentage of memory used for SQL
statements with more than one execution.
This data is newly gathered by the 8.1.7 Statspack for level 5 snapshots
and above, and so will not evident if the report is run against older
data captured using the 8.1.6 Statspack.
Tablespace and File IO
o Tempfile statistics are now captured. The statistics for tempfiles are
shown in the same sections with statistics for datafiles and tablespaces.
o The tablespace and File IO reports have been modified to include reads/s
and writes/s.
Latches
o The report has been modified to include parent and child latch
sections, which only appears in the report when a level 10 snapshot
is taken.
New Scripts
o sppurge.sql - Purges a range of Snapshot Ids
o sptrunc.sql - Deletes all data
o spup816.sql - Upgrades an 8.1.6 Statspack to the 8.1.7 schema
Batch Mode execution
o The installation, reporting and purge scripts (spcreate.sql, spreport.sql
and sppurge.sql) have been modified so they can be run in batch mode, if
the appropriate SQL*Plus variables are defined before the scripts are run.
SQL
o Two new SQL thresholds (and sections in the report) have been added:
sharable_mem and version_count
o The report which was previously ordered by rows processed has been
changed to be ordered by executions
o The full text of a SQL statement is now captured (previously only the
first 1000 bytes of the text was captured); the text is captured once
only. Previously, Statspack gathered all SQL related information,
including all the SQL text for each snapshot. The new strategy will
result less space usage.
o The first 5 lines of a SQL statement are shown in each SQL report
(rather than the first line)
File Rename
o The Statspack files have been renamed, with all files now beginning
with the prefix sp.
The new and old file names are given below. For more information on
the purpose of each file, please see the Supplied Scripts Overview
section.
New Name Old Name
------------ -------------
spdoc.txt statspack.doc
spcreate.sql statscre.sql
spreport.sql statsrep.sql
spauto.sql statsauto.sql
spuexp.par statsuexp.par
sppurge.sql - new file -
sptrunc.sql - new file -
spup816.sql - new file -
spdrop.sql statsdrp.sql
spcpkg.sql statspack.sql
spctab.sql statsctab.sql
spcusr.sql statscusr.sql
spdtab.sql statsdtab.sql
spdusr.sql statsdusr.sql
o The default Statspack report output file name prefix has been modified
to sp_ (was st_) to be consistent with the new script names.
10. Compatibility and Upgrading from previous releases
10.1 Compatibility Matrix
Database ---- Statspack Release ----
Release 10.2 10.1 9.2 9.0 8.1.7 8.1.6
-------- ---- ---- --- ---- ----- -----
10.2 Y - - - - -
10.1 - Y - - - -
9.2 - - Y - - -
9.0 - - - Y - -
8.1.7 - - - - Y -
8.1.6 - - - - - Y
In summary, it is best to use the Statspack release shipped with
the version of the database you are using.
If you are already using an earlier release of Statspack must use
a newer Statspack release (e.g. because you are upgrading the database),
it is possible to upgrade an existing Statspack schema, and so
keep previously captured data. See the 'Upgrading an existing Statspack
schema to a newer release' section of this document.
10.1.1. Using Statspack shipped with 10.2
The Statspack scripts shipped with 10.2 can not be used with any release
earlier than 10.2, as Statspack uses new v$views (and new columns added to
existing v$views) introduced in this server release.
10.1.2. Using Statspack shipped with 10.1
The Statspack scripts shipped with 10.1 can not be used with any release
earlier than 10.1, as Statspack uses new v$views (and new columns added to
existing v$views) introduced in this server release.
10.1.3. Using Statspack shipped with 9.2
The Statspack scripts shipped with 9.2 can not be used with any release
earlier than 9.2, as Statspack uses new v$views (and new columns added to
existing v$views) introduced in this server release.
10.1.4. Using Statspack shipped with 9.0
The Statspack scripts shipped with 9.0 can not be used with any release
earlier than 9.0, as the 9.2 release uses new v$views (and new columns added
to existing v$views) introduced in this server release.
10.1.5. Using Statspack shipped with 8.1.7 on 9i releases
It is not possible to use the Statspack shipped with 8.1.7 with any 9i
instance, due to the definition of an undocumented view Statspack 8i used,
changing between Oracle8i and Oracle9i. Attempting to use 8.1 Statspack
on an instance running 9i will result in package compilation errors.
10.2. Upgrading an existing Statspack schema to a newer release
Scripts are provided which convert performance data in an existing
Statspack schema running an older Statspack release, to the newer schema
format.
Although data conversion is not a supported activity, these scripts have been
provided as a convenient way of keeping previously captured Statspack data.
Due to the differences in schema layout, minor irregularities may result
in statistics captured before conversion. An example of this is the
Enqueue statistics data migration: do not compare Enqueue statistics data
collected pre-10.1 to the Enqueue statistics data captured in 10.1 (for more
details, see section 'Upgrading the Statspack schema from 9.2 to 10.1').
Backups
~~~~~~~
Note: There is no downgrade script. Backup the PERFSTAT schema using
export BEFORE attempting the upgrade, in case the upgrade fails.
The only method of downgrading, or re-running the upgrade is to
de-install Statspack, and import a previously made export.
Before running the upgrade script, export the Statspack schema (for a
backup), then disable any scripts which use Statspack, as these will
interfere with the upgrade. For example, if you use a dbms_job to
gather statistics, disable this job for the duration of the upgrade.
Data Volumes
~~~~~~~~~~~~
If there is a large volume of data in the Statspack schema (i.e. a large
number of snapshots), to avoid a long upgrade time or avoid an unsuccessful
upgrade:
- ensure there is enough free space in PERFSTAT's default tablespace
before starting the upgrade (each individual upgrade section will
describe how to estimate the required disk space)
- if you do not use Automatic Undo Management, ensure you specify a large
rollback segment, if prompted
- if you do not use Automatic Memory Management, ensure you specify a large
sort_area_size (e.g. 1048576), if prompted
Rollback segment errors during upgrade
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
If it is required, the upgrade script will prompt you for the rollback segment
and sort_area_size to be used on your site. If you do not need to specify a
rollback segment or sort_area_size (e.g. because you use Automatic Undo
Management and PGA Aggregate Target) simply press return, and ignore the
following errors appearing in the upgrade log file:
alter session set sort_area_size =
*
ERROR at line 1:
ORA-02017: integer value required
set transaction use rollback segment
*
ERROR at line 1:
ORA-02245: invalid ROLLBACK SEGMENT name
Package Compilation errors during upgrade over multiple releases
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Errors in compiling the STATSPACK *package body* *while in the process* of
running multiple Statspack upgrade scripts consecutively (e.g. when
upgrading multiple releases) should be ignored.
If your site is upgrading from (for example) 9.0 to 10.1 and has 10.1
installed, to upgrade the Statspack schema from 9.0 to 10.1, spup90.sql
followed by spup92.sql must be run.
The Statspack package compilation which is a part of the first upgrade
script (spup90.sql) will fail with errors; this is expected, as the schema
is in a partially upgraded state, and will not be fully upgraded to 10.1 until
spup92.sql is also run.
The final package compilation which is run as a part of the last upgrade
script (in this case spup92.sql), must complete successfully.
Note: The above example is not specific for the 9.0 to 10.1 upgrade,
it applies equally when upgrading Statspack through multiple
releases, no matter which releases.
10.2.1. Upgrading the Statspack schema from 10.1 to 10.2
Follow the general instructions in section 10.2. 'Upgrading an existing
Statspack schema to a newer release' above.
To upgrade:
- ensure you have sufficient free space in the tablespace
- disable any programs which use Statspack
- backup the Statspack schema (e.g. using export)
- run the upgrade by connecting as a user with SYSDBA privilege:
SQL> connect / as sysdba
SQL> @spup101
Once the upgrade script completes, check the log files (spup101a.lis and
spup101b.lis) for errors. If errors are evident, determine and rectify the
cause. If no errors are evident, re-enable any Statspack data
collection or reporting scripts which were previously disabled.
10.2.2. Upgrading the Statspack schema from 9.2 to 10.1
Follow the general instructions in section 10.2. 'Upgrading an existing
Statspack schema to a newer release' above.
This release creates new tables and indexes, and requires approx.
20 extra MB.
To upgrade:
- ensure you have sufficient free space in the tablespace
- disable any programs which use Statspack
- backup the Statspack schema (e.g. using export)
- run the upgrade by connecting as a user with SYSDBA privilege:
SQL> connect / as sysdba
SQL> @spup92
Once the upgrade script completes, check the log files (spup92a.lis and
spup92b.lis) for errors. If errors are evident, determine and rectify the
cause. If no errors are evident, re-enable any Statspack data
collection or reporting scripts which were previously disabled.
Data Compatibility - 'enqueue' wait event
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Note that in 10.1, each enqueue has it's own distinct wait event, and the
general 'enqueue' wait event will no longer be used. Instead of seeing
'enqueue' as a wait event, you will now see 'enqueue: enqueue name -
request reason'
e.g.
enqueue: Transaction - row lock contention
Data Compatibility - 'latch free' wait event
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Note that in 10.1, many latches each have their distinct wait event. The
general 'latch free' wait event is still used, but only represents data
for those latches which do not have their own event. So it is now possible
to see 'latch free' as well as 'latch:
wait events
e.g.
latch: cache buffers chains
latch free
Data Compatibility - Enqueue Statistics
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
A new v$view has been added in 10.1 - v$enqueue_statistics. This view
differs from the existing v$enqueue_stat view, as in addition to breaking
down enqueue activity by enqueue Type, it also breaks down enqueue requests
by Request Reason. So for enqueues which can be requested for multiple
purposes, the data is broken down by reason.
e.g. TX enqueue (transaction enqueue) can be requested for multiple reasons.
In 10.1 the data may look like:
Enqueue Type (Request Reason) Requests
----------------------------------- -------------
TX-Transaction (row lock contention) 55
TX-Transaction (allocate ITL entry) 1
Whereas in 9.2 the data would look like:
Enqueue Type Requests
----------------------------------- -------------
TX 56
Statspack has been enhanced to use the new v$enqueue_statistics view, rather
than continue using v$enqueue_stat.
The Statspack upgrade script spup92.sql migrates the data captured from
prior releases into the new format, in order to avoid losing historical data.
Note for the reasons explained in the example above, you must sum up the
enqueue statistics by Type in a 10.1 Statspack report, to be able to
make the equivalent comparison to the data shown in a 9.2 report.
Data Compatibility - Changing of RAC Statistics and Event Names
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Real Application Cluster Event Names and Statistics have been changed
from 'global cache xxx' to 'gc xxx'. Historical performance data stored
in the Statspack schema has not been modified to reflect the new names,
so when comparing a Statspack report on a pre-10g system, be aware the
statistic names and event names may have changed.
Data Compatibility - Changing SQL Hash Value, and new SQL Id
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The computed value of the Hash Value column in the V$SQL family of tables
(v$sql, v$sqlarea, v$sqltext etc) has changed in release 10g. This means the
same SQL statement will have a different hash_value in 10g than in prior
releases. This change has been made as a consequence of introducing the
new SQL Id column. SQL Id can be considered a 'more unique' hash_value.
The new SQL Id has been introduced to further reduce the probability of a
'hash collision' where two distinct SQL statements hash to the same
hash_number.
Statspack captures SQL Id, but does not use it as the unique identifier.
Instead, Statspack continues to use the hash_value and first 31 bytes of the
SQL text to uniquely identify a SQL statement (AWR uses SQL Id).
10.2.3. Upgrading the Statspack schema from 9.0 to 9.2
Follow the general instructions in section 10.2. 'Upgrading an existing
Statspack schema to a newer release' above.
This release creates new tables and indexes, and requires approx.
20 extra MB.
To upgrade:
- ensure you have sufficient free space in the tablespace
- disable any programs which use Statspack
- backup the Statspack schema (e.g. using export)
- run the upgrade by connecting as a user with SYSDBA privilege:
SQL> connect / as sysdba
SQL> @spup90
Once the upgrade script completes, check the log files (spup90a.lis and
spup90b.lis) for errors. If errors are evident, determine and rectify the
cause. If no errors are evident, re-enable any Statspack data
collection or reporting scripts which were previously disabled.
SQL Plan Usage Data Upgrade note:
If there is more than one database in a single Statspack schema (i.e.
there are multiple distinct dbid's), AND if Level 6 snapshots have
been taken using the 9.0 release Statspack, then the SQL plan usage
data will be saved but will not be queried by the sprepsql.sql
SQL report (this is because during the data conversion, it will not
be possible to identify which database first identified a plan
usage).
For more details see 'SQL Plan Usage capture changed' in the 'Changes
between 9.0 and 9.2' section of this document.
10.2.4. Upgrading the Statspack schema from 8.1.7 to 9.0
Follow the general instructions in section 10.2. 'Upgrading an existing
Statspack schema to a newer release' above.
Then, to estimate whether you have sufficient free space to run this
upgrade, execute the following SQL statement while connected as PERFSTAT in
SQL*Plus:
select 10 + (2*sum(bytes)/1024/1024) est_space_mb
from dba_segments
where segment_name in ('STATS$ENQUEUESTAT');
The est_space_mb column will give you a guesstimate as to the required
free space, in megabytes.
To upgrade:
- ensure you have sufficient free space in the tablespace
- disable any programs which use Statspack
- backup the Statspack schema (e.g. using export)
- run the upgrade by connecting as a user with SYSDBA privilege:
SQL> connect / as sysdba
SQL> @spup817
Once the upgrade script completes, check the log files (spup817a.lis and
spup817b.lis) for errors. If errors are evident, determine and rectify
the cause before proceeding. If no errors are evident, and you are upgrading
to 9.2, you may proceed with the upgrade.
Data Compatibility
~~~~~~~~~~~~~~~~~~
Prior to release 9.0, the STATS$ENQUEUESTAT table gathered data based on
an X$ table rather than a V$view. In 9.0, the column data within the
underlying X$ table has been considerably improved, and the data
externalised via the V$ENQUEUE_STAT view.
The Statspack upgrade script spup817.sql migrates the data captured from
prior releases into the new format, in order to avoid losing historical data.
Note however, that the column names and data contained within the columns
has changed considerably between the two releases: the STATS$ENQUEUE_STAT
columns in 9.0 capture different data to the columns which existed in the
STATS$ENQUEUESTAT table in the 8.1. Statspack releases.
The column data migration performed by spup817.sql is as follows:
8.1 STATS$ENQUEUESTAT 9.0 STATS$ENQUEUE_STAT
--------------------- ----------------------
GETS TOTAL_REQ#
WAITS TOTAL_WAIT#
To further emphasise the difference, the column definitions appear below:
STATS$ENQUEUESTAT.GETS - 8.1
Reflected the number of enqueue gets excluding enqueue conversions--
this statistic was incremented at the end of a get.
STATS$ENQUEUE_STAT.TOTAL_REQ# - 9.0
Is the total number of requests for an enqueue + the number of
enqueue conversions. This statistic is incremented at the beginning
of a get request.
STATS$ENQUEUESTAT.WAITS - 8.1
Reflected the number of times a session waited for at least 3
seconds for an enqueue operation (get or convert)--the statistic
was incremented at the end of the wait (either if the enqueue was
successfully gotten or if the request timed out). If a session waited
for less than 3 seconds, this statistic was not incremented.
STATS$ENQUEUE_STAT.TOTAL_WAIT# - 9.0
Is the total number of times a session waited for any enqueue operation.
This statistic is incremented at the beginning of the wait.
For these reasons it is not valid to compare Enqueue statistics data
collected pre-9.0, to Enqueue statistics data captured in Oracle9i.
10.2.5. Upgrading the Statspack schema from 8.1.6 to 8.1.7
Follow the general instructions in section 10.2. 'Upgrading an existing
Statspack schema to a newer release' above.
Then, to estimate whether you have sufficient free space to run this
upgrade, execute the following SQL statement while connected as PERFSTAT in
SQL*Plus:
select 1.3*sum(bytes)/1024/1024 est_space_mb
from dba_segments
where segment_name in ('STATS$SQL_SUMMARY','STATS$SQL_SUMMARY_PK');
The est_space_mb column will give you a guesstimate as to the required
free space, in megabytes.
The larger the SQL statements in the sql_summary table, the more space will
be released after the upgrade is complete.
To upgrade:
- ensure you have sufficient free space in the tablespace
- disable any programs which use Statspack
- backup the Statspack schema (e.g. using export)
- run the upgrade by connecting as a user with SYSDBA privilege:
SQL> connect / as sysdba
SQL> @spup816
Once the upgrade script completes, check the log files (spup816a.lis and
spup816b.lis) for errors. If errors are evident, determine and rectify
the cause before proceeding. If no errors are evident, and you are upgrading
to 9.0, you may proceed with the upgrade.
10.2.6. Upgrading the Statspack schema from 8.1.6 to 9.2
If you are running 8.1.6 Statspack and wish to upgrade to 9.2 Statspack, you
must follow the upgrade steps - in the following order:
- 10.2.4. Upgrading the Statspack schema from 8.1.6 to 8.1.7
- 10.2.3. Upgrading the Statspack schema from 8.1.7 to 9.0
- 10.2.2. Upgrading the Statspack schema from 9.0 to 9.2
10.2.7. Upgrading the Statspack schema from 8.1.6 to 9.0
If you are running 8.1.6 Statspack and wish to upgrade to 9.0 Statspack, you
must follow the upgrade steps - in the following order:
- 10.2.4. Upgrading the Statspack schema from 8.1.6 to 8.1.7
- 10.2.3. Upgrading the Statspack schema from 8.1.7 to 9.0
10.2.8. Upgrading the Statspack schema from 8.1.7 to 9.2
If you are running 8.1.7 Statspack and wish to upgrade to 9.2 Statspack, you
must follow the upgrade steps - in the following order:
- 10.2.2. Upgrading the Statspack schema from 8.1.7 to 9.0
- 10.2.1. Upgrading the Statspack schema from 9.0 to 9.2
11. Oracle Real Application Clusters specific considerations
11.1. Changing Instance Numbers
The unique identifier for a database instance used by Statspack is the
dbid and the instance_number. When in a Real Application Clusters environment,
it is possible the instance_number may change between startups (either
because the instance_number initialization parameter is set, or
because the instances are started in a different order).
In this case, as Statspack uses the instance_number and the dbid to identify
the instance's snapshot preferences, it is important to note that this may
inadvertently result in a different set of levels or thresholds being
used when snapshotting an instance.
There are three conditions which must be met for this to occur:
- the instance numbers must have switched between startups
- the DBA must have modified the default Statspack parameters used for
at least one of the instances
- the parameters used (e.g. thresholds and snapshot level) must not be
the same on all instances
Note that the only way the parameters will differ is if the parameters
have been explicitly modified by the DBA after installation, either by
saving the specified values or by using the modify_statspack_parameter
procedure.
It is easy to check whether any of the Statspack snapshot parameters are
different for the instances by querying the STATS$STATSPACK_PARAMETER table.
NOTE:
If you have changed the default Statspack parameters, you may
wish to avoid encountering this problem by hard-coding the instance_number
initialization parameter for each of the instances of a Clustered
database. This will avoid encountering this problem.
For recommendations and issues with setting the instance_number
initialization parameter, please see the Real Application Clusters
documentation.
11.2. Real Application Clusters Specific Reports
sprepins.sql
sprepins.sql can be run to query performance data for any instance which the
PERFSTAT schema contains. The report will prompt for a dbid,
instance_number, and begin and end snap id's.
This report can be used when importing data from another instance or in a
Real Application Clusters environment to report on an instance which you are
not connected to.
For more information on sprepins.sql, see the 'Running the instance report
when there are multiple instances' section of this document.
sprsqins.sql
sprsqins.sql can be run to query SQL performance data for any instance
which the PERFSTAT schema contains. The report will prompt for a dbid,
instance_number, begin and end snap id's, and hash value.
This report can be used when importing data from another instance, or in a
Real Application Clusters environment to report on an instance which you
are not connected to.
For more information on sprsqins.sql, see the 'Running the SQL report
when there are multiple instances' section of this document.
11.3 Real Application Clusters Specific Data
New Real Application Clusters specific data displayed in Statspack instance
report:
- Page 2 of the Statspack report for a RAC instance displays RAC specific
derived statistics.
- RAC segment statistics
- RAC-specific data for Library Cache and Dictionary Cache
- Global Enqueue Statistics from v$ges_statistics
- Global CR Served Statistics
- Global CURRENT Served Statistics
- Global Cache Transfer Statistics
12. Conflicts and differences compared to UTLBSTAT/UTLESTAT
12.1. Running BSTAT/ESTAT in conjunction to Statspack
If you choose to run BSTAT/ESTAT in conjunction to Statspack, do not do
run both as the same user, as there is a table name conflict. This table
is stats$waitstat.
12.2. Differences between Statspack and BSTAT/ESTAT
Statspack considers a transaction to either finish with a commit or a
rollback and so calculates the number of transactions thus:
'user commits' + 'user rollbacks'.
BSTAT/ESTAT considers a transaction to complete with a commit only and
so assumes that transactions = 'user commits'.
For this reason, comparing per transaction statistics between Statspack and
BSTAT/ESTAT may result in significantly different per transaction ratios.
13. Removing the package
-------------------------
To deinstall the package, connect as a user with SYSDBA privilege and run
the following script from SQL*Plus: spdrop
e.g.
SQL> connect / as sysdba
SQL> @spdrop
This script actually calls 2 other scripts:
1. spdtab -> Drops tables and public synonyms
2. spdusr -> Drops the user
Check each of the two output files produced (spdtab.lis, spdusr.lis)
to ensure the package was completely deinstalled.
14. Supplied Scripts Overview
------------------------------
Installation
Must be run as a user with SYSDBA privilege
spcreate.sql -> Creates entire Statspack environment (calls
spcusr.sql, spctab.sql, spcpkg.sql)
spdrop.sql -> Drops entire Statspack environment (calls
spdtab.sql, spdusr.sql)
Are run as a user with SYSDBA priv by the calling scripts (above)
spdtab.sql -> Drops Statspack tables
spdusr.sql -> Drops the Statspack user (PERFSTAT)
Are run as PERFSTAT by the calling scripts (above)
spcusr.sql -> Creates the Statspack user (PERFSTAT)
spctab.sql -> Creates Statspack tables
spcpkg.sql -> Creates the Statspack package
Reporting and Automation
Must be run as PERFSTAT
spreport.sql -> Generates a Statspack Instance report
sprepins.sql -> Generates a Statspack Instance report for the
database and instance specified
sprepsql.sql -> Generates a Statspack SQL report for the
SQL Hash Value specified
sprsqins.sql -> Generates a Statspack SQL report for the
SQL Hash Value specified, for the database and
instance specified
spauto.sql -> Automates Statspack statistics collection
(using dbms_job)
sprepcon.sql -> Script which configures SQL*Plus variables which
affect certain aspects of the Statspack instance
report spreport.sql. This script is automatically
called as a part of the Statspack instance
report.
Upgrading
Must be run as SYSDBA
spup92.sql -> Converts data from the 9.2 schema to the
newer 10.1 schema Backup the existing schema
before running the upgrade. If upgrading from
Statspack 8.1.6, spup816.sql must be run, then
spup817.sql, then spup90.sql, then spup92.sql
spup90.sql -> Converts data from the 9.0 schema to the
newer 9.2 schema. Backup the existing schema
before running the upgrade. If upgrading from
Statspack 8.1.6, spup816.sql must be run, then
spup817.sql, then spup90.sql.
spup817.sql -> Converts data from the 8.1.7 schema to the
newer 9.0 schema. Backup the existing schema
before running the upgrade. If upgrading from
Statspack 8.1.6, spup816.sql must be run, then
spup817.sql.
spup816.sql -> Converts data from the 8.1.6 schema to the
8.1.7 schema. Backup the existing schema
before running the upgrade.
Performance Data Maintenance
Must be run as PERFSTAT.
sppurge.sql -> Purges a limited range of Snapshot Id's for
a given database instance.
sptrunc.sql -> Truncates all Performance data in Statspack tables.
WARNING - Do not use unless you wish to remove
all data in the schema you are using.
You may choose to export the data
as a backup before using this script.
spuexp.par -> An export parameter file supplied for exporting
the whole PERFSTAT user.
Documentation
Should be read by the DBA running the scripts
spdoc.txt -> This file contains instructions and
documentation on the STATSPACK package.
15. Limitations and Modifications
15.1. Limitations
As the Statspack schema is updated to reflect the features in the
latest Oracle releases, the schema may change. Backward compatibility
is not guaranteed.
15.2. Modifications
All Statspack code is Oracle proprietary and must not be modified. Any
modifications made to Statspack software will render the code and
data captured unsupported. Unsupported changes may result in
errors in data capture or reporting. Instead, please request enhancements.
REFERENCES
NOTE:276103.1 - Performance Tuning Using Advisors and Manageability Features: AWR, ASH, ADDM and Sql Tuning AdvisorNOTE:94224.1 - FAQ- Statspack Complete Reference
- Oracle Database Products > Oracle Database > Oracle Database > Oracle Database - Enterprise Edition > RDBMS > Database Level Performance Issues (not SQL Tuning)
GATHER STATISTICS;
MEMORY USAGE;
PERFORMANCE;
PERFORMANCE ISSUE;
PERFORMANCE PROBLEMS;
PERFORMANCE STATISTICS;
PERFORMANCE TUNING;
QUERY PERFORMANCE
ORA-2017;
ORA-20200;
ORA-2245;
ORA-6512