Oracle 11g中数据库能有多大?

根据11g release 2文档《Oracle® Database Reference 11g Release 2 (11.2)》,我们可以计算出11g中数据库大小的一个理论极限:

Physical Database Limits

Item Type of Limit Limit Value
Database Block Size Minimum 2048 bytes; must be a multiple of operating system physical block size
Database Block Size Maximum Operating system dependent; never more than 32 KB
Database Blocks Minimum in initial extent of a segment 2 blocks
Database Blocks Maximum per datafile Platform dependent; typically 222 – 1 blocks
Controlfiles Number of control files 1 minimum; 2 or more (on separate devices) strongly recommended
Controlfiles Size of a control file Dependent on operating system and database creation options; maximum of 20,000 x (database block size)
Database files Maximum per tablespace Operating system dependent; usually 1022
Database files Maximum per database 65533

May be less on some operating systems

Limited also by size of database blocks and by the DB_FILES initialization parameter for a particular instance

Database extents Maximum per dictionary managed tablespace 4 GB * physical block size (with K/M modifier); 4 GB (without K/M modifier)
Database extents Maximum per locally managed (uniform) tablespace 2 GB * physical block size (with K/M modifier); 2 GB (without K/M modifier)
Database file size Maximum Operating system dependent. Limited by maximum operating system file size; typically 222 or 4 MB blocks
MAXEXTENTS Default value Derived from tablespace default storage or DB_BLOCK_SIZE initialization parameter
MAXEXTENTS Maximum Unlimited
Redo Log Files Maximum number of logfiles Limited by value of MAXLOGFILES parameter in the CREATE DATABASE statementControl file can be resized to allow more entries; ultimately an operating system limit
Redo Log Files Maximum number of logfiles per group Unlimited
Redo Log File Size Minimum size 4 MB
Redo Log File Size Maximum Size Operating system limit; typically 2 GB
Tablespaces Maximum number per database 64 K

Number of tablespaces cannot exceed the number of database files because each tablespace must include at least one file

Bigfile Tablespaces Number of blocks A bigfile tablespace contains only one datafile or tempfile, which can contain up to approximately 4 billion ( 232 ) blocks. The maximum size of the single datafile or tempfile is 128 terabytes (TB) for a tablespace with 32 K blocks and 32 TB for a tablespace with 8 K blocks.
Smallfile (traditional) Tablespaces Number of blocks A smallfile tablespace is a traditional Oracle tablespace, which can contain 1022 datafiles or tempfiles, each of which can contain up to approximately 4 million (222) blocks.
External Tables file Maximum size Dependent on the operating system.An external table can be composed of multiple files.

11g中当采用32 K块时单个表空间最大可以扩展到128 TB,而一个数据库最多拥有64 K个表空间,则可以得出单个数据库的理论最大值为128TB *64 K= 8192 PB= 8EB,该数据与Oracle 10g 数据库的容量持平,换而言之11g中数据库的容量并未增加。

Youtube视频网站一年产生的信息量大约在800TB,世界上1000强的公司所有数据库的总数据量约合1EB(平均一个公司1PB),而64位可寻址内存的最大容量为16EB,理论上我们可以把所有这些少于8EB的信息存储到您的笔记本上安装的Oracle数据库中,而且可以将它们完全缓存到内存中以供读取。

在几年前没有人相信TB级别的数据库会在不久后普及,但是我们今天可以很自信地说随着TB级别的数据库不断涌现,无论从硬件角度或者软件角度支撑该数量级的数据库的solution都已经十分成熟了。

在11g未来的日子里,我们将注目于EB级数据库的出现!

【转】网络制图法(Internet Cartography)

fackbook的技术专家之一Carlos Bueno在这周一发表了这篇关于有趣的网络制图(Internet Cartography)的文章,如果你恰好”无法正常浏览“facebook的页面,那么也可以读读我所引用的:

Every generation likes to think it reinvents the world from scratch. But some things are shaped by history and geography as much as anything. Mountains, rivers, archipelagos, and long terrestrial crossings play a big role in deciding where, how, and how well different parts of the Earth get connected.

This is a map of the global telegraph network from 110 years ago side-by-side with the internet of today:

One way to see the internet is as a physical manifestation of trade volume between cities, on a 40-year moving average. That is about how long it takes for economic ties to develop, demand to rise, and high-volume communications routes to be financed and built. Once built, these links tend to stick around.

Governments and empires have come and gone, bandwidth has increased a billion-fold, but the network has the same general shape it had back when Mark Twain was sending witty telegrams. The only big change since then is greater ties between the US and Asia.

Just from looking at where the cables go you can guess how long it would take to send a message. A telegram from San Francisco to Hong Kong in 1901 must have taken many hops through British Empire cables to Europe, through the Middle East, and so on. London to New York was fast and direct. The vestiges of the Spanish and Portuguese Empires show up in the many links between South America, the Caribbean archipelago, and the Iberian peninsula.

A cool thing is that you can measure these relative latencies yourself, using the present-day internet. If you run a website with a decent amount of worldwide traffic, you can use that traffic to map out how the internet responds with regards to you, and see how that matches with the gross structure of the ‘net.

I wrote about a cheap and cheerful way to generate this data last year, and the code has since been open-sourced as part of Yahoo’s Boomerang measurement framework. The basic idea is to have your users perform two tiny network requests: one to a throwaway hostname generated in the moment, like 8j48sas.dns.example.net/A.gif, then another to a different single-pixel image on the same host, 8j48sas.dns.example.net/B.gif. The first request will require a DNS lookup, TCP handshake, and HTTP transaction. The second only needs to do the TCP and HTTP steps. Now you have fuzzy measurements of how long it took to do a full HTTP round-trip (B) and to do a full end-to-end DNS lookup (A – B).

Real-world data on DNS performance is generally considered hard to come by. The domain name system is designed with caching and intermediaries at all levels, so you as a site owner only see part of the story during normal operation. You can buy data like this from commercial services like Gomez or Keynote, or get it yourself if you happen to have, say, a browser plugin installed on millions of computers. Otherwise, this Javascript method is less accurate but works well enough.
xkcd.com/192

Here is a chart of median (50th percentile) DNS latencies experienced by a random sample of Facebook users, broken down by country. As you can see, there are several lines crowding together at the bottom. That is the US and parts of Europe like the UK and Belgium. Facebook’s DNS servers tend to be physically close to users in those countries. Spain and France are a bit higher up, and the rest of the graph is a mix of Asian and South American countries. [1]

The median value only tells part of the story. Here is the worldwide DNS latency data as a density plot, to show the distribution. Notice that a substantial number of users took more than 500 milliseconds just to look up a hostname. This is the uncached worst-case, of course, but it’s something to keep in mind.


HTTP Latencies
Here is the chart for measurement B, the TCP + HTTP latency. This better reflects the real “geography” of the internet, because the HTTP requests travel all of the way back to our web tiers in the United States. There is much less volatility in these measurements day-to-day; it’s controlled more by basic network conditions and speed-of-light and less by the health of various DNS recursors around the world.

How low can you go?
So how fast are these links between countries, compared to what is possible? Below is a chart of the same median HTTP latency data, averaged over a week. The short light-grey bars represent the theoretical minimum. If you could carve a direct line between any two spots along the surface of the planet, this grey bar would be the internet round trip time between the US and the given country. [2]

We can learn a lot of things from this chart. The most obvious is that HTTP latency between Asia and the US is worse than US-Europe. The Pacific Ocean is wider than the Atlantic, of course, but raw distance is not the only factor. Economics and local geography play their part.

Look at the ratios between the black bars (real) and the grey bars (theoretical). Both the fastest European and Asian countries have real-world latencies at or below 2X the theoretical minimum, which is pretty impressive. Few technologies get within spitting distance of the physical limits of the universe.

These low-multiple countries tend to have fortunate geography, or a strong history of economic relations with the United States, or both. Other countries with less-strong trade ties, such as Spain, or lots of little islands like the Philippines, have multiples nearer to 2.5X and above. While Australia is a bit farther than Thailand it’s 15% closer as far as the internet is concerned. More investment has been put in by the cable operators to make that route fast and wide. In fact, Australia (population 22M) a comparable amount of bandwidth to the US as all of South America (population 385M).

The multiples of South American countries start at 3.5X and go up from there. North-South routes are hurt by an unlucky trifecta of mountains, long land crossings, and archipelagos. There is only one cable that serves the Pacific side from Los Angeles to Panama. It’s hard to justify building lots of capacity on the Pacific side, because the Andes mountains cut off that part of the continent from the rest. Most traffic follows a long and painful path across the entire length of the US to the Atlantic, then takes a right turn and down another 800 miles of the Florida peninsula. It exits Miami and immediately hits a congested maze of cables, hopping in and out of the water as it navigates the islands of the Caribbean. Someday South America will get better connected, but natural barriers drive the costs way up.

There are other interesting cases such as Belgium, which has the lowest latency and lowest multiple (1.6X) of any European country. The reason is that Belgium is well-placed as an internet nexus, being a) close to Britain but away from the Channel and b) geographically convenient for branching off into the rest of Europe.

Try this at home
These measurements are very skewed towards the United States. It would be awesome to see measurements from other spots and different traffic patterns from around the world. The code to collect this data (and a lot more) is open-source and simple to implement. So try the experiment for yourself and let us know what you find.

Carlos Bueno, an Engineer at Facebook, loves pinging the tubes.

Notes
[1] This chart generally agrees with data gathered by Yahoo and Microsoft. The data is very US-centric; the picture will be quite different if you were to run the experiment from a site based on another continent. Facebook’s servers are largely in the US, so naturally we care most about how to get bits from here to there and less about, say, between India and Saudi Arabia.

[2] The theoretical minimum latency is calculated using the average speed of light through optical fiber, over a hypothetical cable laid in a great circle line between the town of Independence, Kansas and the centroid of the given country. This time is multiplied by 4 to approximate the two round-trips necessary to complete a TCP handshake and HTTP transaction. You can read all about Great Circle routes and the speed of light through fiber in Wikipedia, or just use Wolfram Alpha to do it for you.

7月最新发布11.2.0.1.2 Patch set update

7月13日,11g release 2 的第二个补丁集更新发布了;9i的最终版本为9.2.0.8,10g上10.2.0.5很有可能成为最终版本,我们预期今后(11g,12g)中Patch set数量会有效减少,而patch set update数量可能大幅增加;这样的更新形式可以为Oracle Database提升一定的软件形象。可以猜想11gr2的最终版本号可能是11.2.0.2/3.x。

附该psu的readme note:

Released: July 13, 2010

This document is accurate at the time of release. For any changes and additional information regarding PSU 11.2.0.1.2, see these related documents that are available at My Oracle Support (http://support.oracle.com/):

  • Note 854428.1 Patch Set Updates for Oracle Products
  • Note 1089071.1 Oracle Database Patch Set Update 11.2.0.1.2 Known Issues

This document includes the following sections:

1 Patch Information

Patch Set Update (PSU) patches are cumulative. That is, the content of all previous PSUs is included in the latest PSU patch.

PSU 11.2.0.1.2 includes the fixes listed in Section 5, “Bugs Fixed by This Patch”.

Table 1 describes installation types and security content. For each installation type, it indicates the most recent PSU patch to include new security fixes that are pertinent to that installation type. If there are no security fixes to be applied to an installation type, then “None” is indicated. If a specific PSU is listed, then apply that or any later PSU patch to be current with security fixes.

Table 1 Installation Types and Security Content

Installation Type Latest PSU with Security Fixes
Server homes PSU 11.2.0.1.2


Client-Only Installations None
Instant Client Installations None

(The Instant Client installation is not the same as the client-only Installation. For additional information about Instant Client installations, see Oracle Database Concepts.)

2 Patch Installation and Deinstallation

This section includes the following sections:

2.1 Platforms for PSU 11.2.0.1.2

For a list of platforms that are supported in this Patch Set Update, see My Oracle Support Note 1060989.1 Critical Patch Update July 2010 Patch Availability Document for Oracle Products.

2.2 OPatch Utility Information

You must use the OPatch utility version 11.2.0.1.0 or later to apply this patch. Oracle recommends that you use the latest released OPatch 11.2, which is available for download from My Oracle Support patch 6880880 by selecting the 11.2.0.0.0 release.

For information about OPatch documentation, including any known issues, see My Oracle Support Note 293369.1 OPatch documentation list.

2.3 Patch Installation

These instructions are for all Oracle Database installations.

2.3.1 Patch Pre-Installation Instructions

Before you install PSU 11.2.0.1.2, perform the following actions to check the environment and to detect and resolve any one-off patch conflicts.

2.3.1.1 Environments with ASM

If you are installing the PSU to an environment that has Automatic Storage Management (ASM), note the following:

  • For Linux x86 and Linux x86-64 platforms, install either (A) the bug fix for 8898852 and the Database PSU patch 9654983, or (B) the Grid Infrastructure PSU patch 9343627.
  • For all other platforms, no action is required. The fix for 8898852 was included in the base 11.2.0.1.0 release.

2.3.1.2 Environment Checks
  1. Ensure that the $PATH definition has the following executables: make, ar, ld, and nm.The location of these executables depends on your operating system. On many operating systems, they are located in /usr/ccs/bin, in which case you can set your PATH definition as follows:
    export PATH=$PATH:/usr/ccs/bin
    

2.3.1.3 One-off Patch Conflict Detection and Resolution

For an introduction to the PSU one-off patch concepts, see “Patch Set Updates Patch Conflict Resolution” in My Oracle Support Note 854428.1 Patch Set Updates for Oracle Products.

The fastest and easiest way to determine whether you have one-off patches in the Oracle home that conflict with the PSU, and to get the necessary conflict resolution patches, is to use the Patch Recommendations and Patch Plans features on the Patches & Updates tab in My Oracle Support. These features work in conjunction with the My Oracle Support Configuration Manager. Recorded training sessions on these features can be found in Note 603505.1.

However, if you are not using My Oracle Support Patch Plans, follow these steps:

  1. Determine whether any currently installed one-off patches conflict with the PSU patch as follows:
    unzip p9654983_11201_<platform>.zip
    opatch prereq CheckConflictAgainstOHWithDetail -phBaseDir ./9654983
    
  2. The report will indicate the patches that conflict with PSU 9654983 and the patches for which PSU 9654983 is a superset.Note that Oracle proactively provides PSU 11.2.0.1.2 one-off patches for common conflicts.
  3. Use My Oracle Support Note 1061295.1 Patch Set Updates – One-off Patch Conflict Resolution to determine, for each conflicting patch, whether a conflict resolution patch is already available, and if you need to request a new conflict resolution patch or if the conflict may be ignored.
  4. When all the one-off patches that you have requested are available at My Oracle Support, proceed with Section 2.3.2, “Patch Installation Instructions”.

2.3.2 Patch Installation Instructions

Follow these steps:

  1. If you are using a Data Guard Physical Standby database, you must first install this patch on the primary database before installing the patch on the physical standby database. It is not supported to install this patch on the physical standby database before installing the patch on the primary database. For more information, see My Oracle Support Note 278641.1.
  2. Do one of the following, depending on whether this is a RAC environment:
    • If this is a RAC environment, choose one of the patch installation methods provided by OPatch (rolling, all node, or minimum downtime), and shutdown instances and listeners as appropriate for the installation method selected.This PSU patch is rolling RAC installable. Refer to My Oracle Support Note 244241.1 Rolling Patch – OPatch Support for RAC.
    • If this is not a RAC environment, shut down all instances and listeners associated with the Oracle home that you are updating. For more information, see Oracle Database Administrator’s Guide.
  3. Set your current directory to the directory where the patch is located and then run the OPatch utility by entering the following commands:
    unzip p9654983_11201_<platform>.zip
    cd 9654983
    opatch apply
    
  4. If there are errors, refer to Section 3, “Known Issues”.

2.3.3 Patch Post-Installation Instructions

After installing the patch, perform the following actions:

  1. Apply conflict resolution patches as explained in Section 2.3.3.1.
  2. Load modified SQL files into the database, as explained in Section 2.3.3.2.

2.3.3.1 Applying Conflict Resolution Patches

Apply the patch conflict resolution one-off patches that were determined to be needed when you performed the steps in Section 2.3.1.3, “One-off Patch Conflict Detection and Resolution”.

2.3.3.2 Loading Modified SQL Files into the Database

The following steps load modified SQL files into the database. For a RAC environment, perform these steps on only one node.

  1. For each database instance running on the Oracle home being patched, connect to the database using SQL*Plus. Connect as SYSDBA and run the catbundle.sql script as follows:
    cd $ORACLE_HOME/rdbms/admin
    sqlplus /nolog
    SQL> CONNECT / AS SYSDBA
    SQL> STARTUP
    SQL> @catbundle.sql psu apply
    SQL> QUIT
    

    The catbundle.sql execution is reflected in the dba_registry_history view by a row associated with bundle series PSU.

    For information about the catbundle.sql script, see My Oracle Support Note 605795.1 Introduction to Oracle Database catbundle.sql.

  2. Check the following log files in $ORACLE_HOME/cfgtoollogs/catbundle for any errors:
    catbundle_PSU_<database SID>_APPLY_<TIMESTAMP>.log
    catbundle_PSU_<database SID>_GENERATE_<TIMESTAMP>.log
    

    where TIMESTAMP is of the form YYYYMMMDD_HH_MM_SS. If there are errors, refer to Section 3, “Known Issues”.

2.3.4 Patch Post-Installation Instructions for Databases Created or Upgraded after Installation of PSU 11.2.0.1.2 in the Oracle Home

These instructions are for a database that is created or upgraded after the installation of PSU 11.2.0.1.2.

You must execute the steps in Section 2.3.3.2, “Loading Modified SQL Files into the Database” for any new database only if it was created by any of the following methods:

  • Using DBCA (Database Configuration Assistant) to select a sample database (General, Data Warehouse, Transaction Processing)
  • Using a script that was created by DBCA that creates a database from a sample database

2.4 Patch Deinstallation

These instructions apply if you need to deinstall the patch.

2.4.1 Patch Deinstallation Instructions for a Non-RAC Environment

Follow these steps:

  1. Verify that an $ORACLE_HOME/rdbms/admin/catbundle_PSU_<database SID>_ROLLBACK.sql file exists for each database associated with this ORACLE_HOME. If this is not the case, you must execute the steps in Section 2.3.3.2, “Loading Modified SQL Files into the Database” against the database before deinstalling the PSU.
  2. Shut down all instances and listeners associated with the Oracle home that you are updating. For more information, see Oracle Database Administrator’s Guide.
  3. Run the OPatch utility specifying the rollback argument as follows.
    opatch rollback -id 9654983
    
  4. If there are errors, refer to Section 3, “Known Issues”.

2.4.2 Patch Post-Deinstallation Instructions for a Non-RAC Environment

Follow these steps:

  1. Start all database instances running from the Oracle home. (For more information, see Oracle Database Administrator’s Guide.)
  2. For each database instance running out of the ORACLE_HOME, connect to the database using SQL*Plus as SYSDBA and run the rollback script as follows:
    cd $ORACLE_HOME/rdbms/admin
    sqlplus /nolog
    SQL> CONNECT / AS SYSDBA
    SQL> STARTUP
    SQL> @catbundle_PSU_<database SID>_ROLLBACK.sql
    SQL> QUIT
    

    In a RAC environment, the name of the rollback script will have the format catbundle_PSU_<database SID PREFIX>_ROLLBACK.sql.

  3. Check the log file for any errors. The log file is found in $ORACLE_HOME/cfgtoollogs/catbundle and is named catbundle_PSU_<database SID>_ROLLBACK_<TIMESTAMP>.log where TIMESTAMP is of the form YYYYMMMDD_HH_MM_SS. If there are errors, refer to Section 3, “Known Issues”.

2.4.3 Patch Deinstallation Instructions for a RAC Environment

Follow these steps for each node in the cluster, one node at a time:

  1. Shut down the instance on the node.
  2. Run the OPatch utility specifying the rollback argument as follows.
    opatch rollback -id 9654983
    

    If there are errors, refer to Section 3, “Known Issues”.

  3. Start the instance on the node as follows:
    srvctl start instance
    

2.4.4 Patch Post-Deinstallation Instructions for a RAC Environment

Follow the instructions listed in Section Section 2.4.2, “Patch Post-Deinstallation Instructions for a Non-RAC Environment” only on the node for which the steps in Section 2.3.3.2, “Loading Modified SQL Files into the Database” were executed during the patch application.

All other instances can be started and accessed as usual while you are executing the deinstallation steps.

3 Known Issues

For information about OPatch issues, see My Oracle Support Note 293369.1 OPatch documentation list.

For issues documented after the release of this PSU, see My Oracle Support Note 1089071.1 Oracle Database Patch Set Update 11.2.0.1.2 Known Issues.

Other known issues are as follows.

Issue 1
The following ignorable errors may be encountered while running the catbundle.sql script or its rollback script:

ORA-29809: cannot drop an operator with dependent objects
ORA-29931: specified association does not exist
ORA-29830: operator does not exist
ORA-00942: table or view does not exist
ORA-00955: name is already used by an existing object
ORA-01430: column being added already exists in table
ORA-01432: public synonym to be dropped does not exist
ORA-01434: private synonym to be dropped does not exist
ORA-01435: user does not exist
ORA-01917: user or role 'XDB' does not exist
ORA-01920: user name '<user-name>' conflicts with another user or role name
ORA-01921: role name '<role name>' conflicts with another user or role name
ORA-01952: system privileges not granted to 'WKSYS'
ORA-02303: cannot drop or replace a type with type or table dependents
ORA-02443: Cannot drop constraint - nonexistent constraint
ORA-04043: object <object-name> does not exist
ORA-29832: cannot drop or replace an indextype with dependent indexes
ORA-29844: duplicate operator name specified
ORA-14452: attempt to create, alter or drop an index on temporary table already in use
ORA-06512: at line <line number>. If this error follow any of above errors, then can be safely ignored.
ORA-01927: cannot REVOKE privileges you did not grant

4 References

The following documents are references for this patch.

Note 293369.1 OPatch documentation list

Note 360870.1 Impact of Java Security Vulnerabilities on Oracle Products

Note 468959.1 Enterprise Manager Grid Control Known Issues

Note 9352237.8 Bug 9352237 – 11.2.0.1.1 Patch Set Update (PSU)

5 Bugs Fixed by This Patch

This patch includes the following bug fixes.

5.1 CPU Molecules

CPU molecules in PSU 11.2.0.1.2:

PSU 11.2.0.1.2 contains the following new CPU molecules:

9676419 – DB-11.2.0.1-MOLECULE-004-CPUJUL2010

9676420 – DB-11.2.0.1-MOLECULE-005-CPUJUL2010

5.2 Bug Fixes

PSU 11.2.0.1.2 contains the following new fixes:

Automatic Storage Management

8755082 – ORA-00600: [KCFIS_TRANSLATE4:VOLUME LOOKUP], [2], [WRONG DEVICE NAME], [], [], [

8890026 - ASM PARTNERING CREATES IMBALANCED PARTNERSHIPS

9170608 - STBH:DD BLOCKS PINNED FOR QUERIES THAT DO NOT REQUEST USED SPACE

9363145 - STBH:DB INSTANCES TERMINATED BY ASMB DUE TO ORA-00600 [KFDSKALLOC0]

Buffer Cache

8330783 – HANGING DB WITH “CACHE BUFFER CHAINS” AND “BUFFER DEADLOCK” WAITS DURING INSERT

8822531 – TAKING AWR SNAP HANGS

Data Guard Broker

8918433 – UNPERSISTED FSFO STATE BITS CAN GET PERSISTED

9363384 – PHYSICAL STANDBY SERVICES NOT STARTED AFTER CONVERT FROM SNAPSHOT

9467635 – BROKER’S METADATA FILE UPGRADE TO 11.2 IS BROKEN

9467727 – GETSTATUS DOC YIELDS INCORRECT RESULT IF DBRESOURCE_ID PROP VALUE IS USED

Data Guard Logical

8774868 – LGSBFSFO: ORA-600 [3020], [3], [138] RAISED IN RECOVERY SLAVE

8822832 – V$ARCHIVE_DEST_STATUS HAS INCORRECT VALUE FOR APPLIED_SEQ#

DataGuard Redo Transport

8872096 – ARCHIVING FORCED DURING CLOSE WHEN NO STANDBY IS PRESENT

9399090 – STBH: CONSTANT/HIGH FREQUENT LOG SWITCHES ON BEEHIVE DATABASE IN THE LAST 3 DAYS

Shared Cursors

8865718 – RECURSIVE CURSORS CONTAINING “AS OF SNAPSHOT” CLAUSE ARE NOT SHARED

8981059 – HIGH VERSION COUNT:BIND_MISMATCH,USER_BIND_PEEK_MISMATCH,OPTIMIZER_MODE_MISMATCH

9010222 – APPS ST 11G ORA-00600 [KKSFBC-REPARSE-INFINITE-LOOP]

9067282 – TB:SH:ORA-00600:[KKSFBC-WRONG-KKSCSFLGS] WHILE RUNNING TPC-H

DML Drivers

9255542 – ARRAY INSERT TO PARTITIONED TABLE LOOSES ROWS DUE TO CONCURRENT DDL (ORA-14403)

9488887 – FORIEGN KEY VIOLATION WITH ARRAY-INSERT AND ONLINE IDX REBUILD AFTER BUG-9255542

Flashback Database

8834425 – ORA-240 IN RVWR PROCESS CAUSING 5MIN TRANSACTIONAL HANG

PLSQL

9210925 – AFTER MANUAL UPGRADE TO 11.1.0.7 PL/SQL CALLS INCORRECT FUNCTION

Automatic Memory Management

8505803 – PRE_PAGE_SGA RESULTS IN EXCESSIVE PAGE TABLE SIZE WHEN USING MEMORY_TARGET [AMM]

Partitioning

9165206 – PARTITIONING ORA-600 [KKPOLLS1] / [KKDOILSF1] – DURING PARTITION MAINTANANCE

Real Application Cluster

8875671 – LX64: ORA-600 ARGS [KJPNP_CHK:!MASTER_READY],

9093300 – LOTS OF REPEATED KJXOCDR: DROP DUPLICATE OPEN MESSAGE IN LMD TRACE

Row Access Method

8544696 – TABLE GROWTH – BLOCKS ARE NOT REUSED

Streams

8650719 – DOWNSTREAM CAPTURE ABORTS WITH ORA-26766

Secure Files

8856478 – RAM SECUREFILE PERF DEGRADATION WITH SF COMPRESSION ON SMALL LOBS DURING ATB MOVE

9272086 – STBH: DATA PUMP WRITER SEEMS TO BE WAITING ON WAIT FOR UNREAD MESSAGE ON BROADCA

DB Recovery

8909984 – APPSST GSI 11G: GAPS IN AWR SNAPSHOTS

9068088 – MEDIA RECOVERY WAS HUNG ON STANDBY

9145541 – ORA-600 [25027] / ORA-600 [4097] FOR ACTIVE TX IN A PLUGGED TABLESPACE

9167285 – PKT-BUGOLTP: ORA-07445: [KCRALC()+87]

Space Management

7519406 – ‘J000′ TRACE FILE REGARDING GATHER_STATS_JOB INTERMITTENTLY SINCE 10.2.0.4

8815639 – [11GR2-LNX-090813] MULTIPLE INSERT CAUSE DATA ALLOCATION ABOVE HHWM

9216806 – HIGH “ENQ: TS – CONTENTION” FOR TEMPORARY SEGMENT WHILE SQLLDR DIRECT PATH LOAD

9242411 – STRESS-BIGBH: LOTS OF OR-3113S IN BIGBH STRESS TEST

9461782 – ORA-7445 [KTSLF_SUMFSG()+54] [SIGSEGV] AND KTSLFSUM_CFS ON CALL STACK

Compression

9011088 – [11GR2]ADDING COLUMN TO COMPRESSED TABLE, DATA LOSS OCCURED.

9275072 – APPSST GSI 11G : BUFFER BUSY WAITS INSERTING INTO TABLES

9341448 – APPSST GSI 11G : BUFFER BUSY WAITS AND LATCH: CACHE BUFFERS WAITS WHEN INSERTING

9637033 – ORA-07445[KDR9IR2RST0] INSERT AS SELECT IN A COMPRESSED TABLE WITH > 255 COLUMNS

SQL Execution

8664189 – ORA-00600 [KDISS_UNCOMPRESS: BUFFER LENGTH]

9119194 – PSRC: DISTRIBUTED QUERY SLOWER IN 10.2.0.4 COMPARED TO 10.2.0.3

Transaction Management

8268775 – PERF: HIGH US ENQUEUE CONTENTION DURING A LOGIN STORM OR SESSION FAILOVER

8803762 – ORA-00600 [KDSGRP1] BLOCK CORRUPTION ON 11G DATABASE UPGRADE

Memory Management

8431487 – INSTANCE CRASH ORA-07445 [KGGHSTFEL()+192] ORA-07445[KGGHSTMAP()+241]

Message

9713537 – ENHANCE CAUSE/ACTION FIELDS OF THE INTERNAL ERROR ORA-00600

9714832 – ENHANCE CAUSE/ACTION FIELDS OF THE INTERNAL ERROR ORA-07445

直接路径读取对于延迟块清除的影响

在Oracle 11g版本中串行的全表扫描可能使用直接路径读取(direct path read)的方式取代之前版本中一直使用的DB FILE SCATTERED READ, 显然direct path read具备更多的优势:

1. 减少了对栓的使用,避免可能的栓争用

2.物理IO的大小不再取决于buffer_cache中所存在的块;试想某个8个块的extent中1,3,5,7号块在高速缓存中,而2,4,6,8块没有被缓存,传统的方式在读取该extent时将会是对2,4,6,8块进行4次db file sequential read,这是一种十分可怕的状况,其效率往往要比单次读取这个区间的所有8个块还要低得多,虽然Oracle为了避免这种情况总是尽可能的不缓存大表的块(读入后总是放在队列最冷的一端);而direct path read则可以完全避免这类问题,尽可能地单次读入更多的物理块。

当然直接路径读取也会引入一些缺点:

1.在直接路径读取某段前需要对该对象进行一次段级的检查点(A segment checkpoint).

2.可能导致重复的延迟块清除操作(我们假设你了解delayed block cleanout是什么).

metalink 文档[ID 793845.1] 对该新版本中的变化进行了描述:

Applies to:

Oracle Server – Enterprise Edition – Version: 11.1.0.6 to 11.1.0.7
This problem can occur on any platform.

Symptoms

After migrating an 11g database from a standalone to a 4-node RAC,  a noticeable
increase of 'direct path read' waits were observed at times.
Here are the Cache sizes and Top 5 events.
waits

Cache Sizes                       Begin        End
~~~~~~~~~~~                  ---------- ----------
               Buffer Cache:     3,232M     3,616M  Std Block Size:         8K
           Shared Pool Size:     6,736M     6,400M      Log Buffer:     8,824K
Top 5 Timed Foreground Events
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
                                                           Avg
                                                          wait   % DB
Event                                 Waits     Time(s)   (ms)   time Wait Class
------------------------------ ------------ ----------- ------ ------ ----------
DB CPU                                           13,916          42.1
direct path read                  1,637,344      13,359      8   40.4 User I/O
db file sequential read              47,132       1,111     24    3.4 User I/O
DFS lock handle                     301,278       1,028      3    3.1 Other
db file parallel read                14,724         554     38    1.7 User I/O

Changes

Migrated from a standalone database to a 4-node RAC.
Moved from Unix file system storage to ASM.

Using Automatic Shared Memory Management (ASMM).
The setting of db_cache_size in spfile/pfile is low compared to normal workload requirements.

Cause

There have been changes in 11g in the heuristics to choose between direct path reads or reads through buffer cache for serial table scans.
In 10g, serial table scans for “large” tables used to go through cache (by default) which is not the case anymore.  In 11g, this decision to read via direct path or through cache is based on the size of the table, buffer cache size and various other stats.
Direct path reads are faster than scattered reads and have less impact on other processes because they avoid latches.

Solution

When using Automatic Shared Memory Management (ASMM) and with buffer cache low limit set at a low end compared to the normal workload requirements and usually after startup, 11g might choose to do serial direct path read scans for large tables that do not fit in the SGA. When ASMM increases the buffer cache due to increased demand, 11g might not again do serial direct path read scans for these same large tables.  If you like to avoid this from happening, you should note the buffer cache and share pool requirements for a normal workload and set the low limits of buffer cache and shared pool in spfile/pfile close to these normal workload values.
db_cache_size
shared_pool_size

下面我们对直接路径读取对于延迟块清除造成的影响进行测试:

SQL> create table tv as select rownum rn,rpad('A',600,'Z') rp from dual
2       connect by level <=300000;

表已创建。

新建一个会话a:

SQL> set linesize 200 pagesize 1400;
SQL> select count(*) from tv;

COUNT(*)
----------
300000

SQL> select vm.sid, vs.name, vm.value
2    from v$mystat vm, v$sysstat vs
3   where vm.statistic# = vs.statistic#
4     and vs.name in ('cleanouts only - consistent read gets',
5                     'session logical reads',
6                     'physical reads',
7                     'physical reads direct');

SID NAME                                                                  VALUE
---------- ---------------------------------------------------------------- ----------
25 session logical reads                                          27281
25 physical reads                                                 27273
25 physical reads direct                                          27273         
25 cleanouts only - consistent read gets                            0

-- 显然查询采用了直接路径读取方式

SQL> update tv set rn=rn+1;                        -- 尝试批量更新

SQL> alter system flush buffer_cache;             
-- 刷新高速缓存,造成延迟块清除的情景,并提交

系统已更改。

SQL> commit;

提交完成。

新建一个会话b:

SQL> set linesize 200 pagesize 1400;
SQL> select count(*) from tv;

COUNT(*)
----------
300000

SQL> select vm.sid, vs.name, vm.value
2    from v$mystat vm, v$sysstat vs
3   where vm.statistic# = vs.statistic#
4     and vs.name in ('cleanouts only - consistent read gets',
5                     'session logical reads',
6                     'physical reads',
7                     'physical reads direct','redo size');

SID NAME                                                                  VALUE
---------- ---------------------------------------------------------------- ----------
25 session logical reads                                                 54554
25 physical reads                                                        27273
25 physical reads direct                                                 27273
25 redo size                                                                 0
25 cleanouts only - consistent read gets                           27273      
--查询采用direct path read时产生了延迟块清除操作,但不产生redo

SQL> select count(*) from tv;

COUNT(*)
----------
300000

SQL> select vm.sid, vs.name, vm.value
2    from v$mystat vm, v$sysstat vs
3   where vm.statistic# = vs.statistic#
4     and vs.name in ('cleanouts only - consistent read gets',
5                     'session logical reads',
6                     'physical reads',
7                     'physical reads direct','redo size');

SID NAME                                                                  VALUE
---------- ---------------------------------------------------------------- ----------
25 session logical reads                                                109104
25 physical reads                                                        54546
25 physical reads direct                                                 54546
25 redo size                                                                 0
25 cleanouts only - consistent read gets                                 54546

再次查询仍采用直接路径读取,产生了相同数目的延迟块清除操作,并没有产生redo;可见direct path read的清除操作仅是针对从磁盘上读取到PGA内存中的镜像,而不对实际的块做任何修改,因而也没有任何redo;

下面我们使用普通串行全表扫描方式,设置event 10949可以避免采用直接路径读取方式.关于该事件可以参见这里.

SQL> ALTER SESSION SET EVENTS '10949 TRACE NAME CONTEXT FOREVER';

会话已更改。

SQL> select count(*) from tv;

COUNT(*)
----------
300000

SQL> select vm.sid, vs.name, vm.value
2    from v$mystat vm, v$sysstat vs
3   where vm.statistic# = vs.statistic#
4     and vs.name in ('cleanouts only - consistent read gets',
5                     'session logical reads',
6                     'physical reads',
7                     'physical reads direct','redo size');

SID NAME                                                                  VALUE
---------- ---------------------------------------------------------------- ----------
25 session logical reads                                                163662
25 physical reads                                                        81819
25 physical reads direct                                                 54546
25 redo size                                                           1966560
25 cleanouts only - consistent read gets                                 81819

SQL> select count(*) from tv;

COUNT(*)
----------
300000

SQL> select vm.sid, vs.name, vm.value
2    from v$mystat vm, v$sysstat vs
3   where vm.statistic# = vs.statistic#
4     and vs.name in ('cleanouts only - consistent read gets',
5                     'session logical reads',
6                     'physical reads',
7                     'physical reads direct','redo size');

SID NAME                                                                  VALUE
---------- ---------------------------------------------------------------- ----------
25 session logical reads                                                190947
25 physical reads                                                        95673
25 physical reads direct                                                 54546
25 redo size                                                           1966560
25 cleanouts only - consistent read gets                                 81819

第一次采用普通全表扫描方式时产生了与direct path read时相同量的延迟块清除操作,并因此产生了大量的redo,这种模式回归到了最经典的延迟块清除情景中;之后的一次读取则不再需要清除块和产生重做了,我们在读取一个“干净”的表段。

从以上测试我们可以了解到,11g中使用更为广泛的direct path read方式对有需要延迟块清除操作的段所可能产生的影响,因为实际没有一个“修改块”的操作,所以虽然延迟块清除操作在该种模式下每次都必须产生,却实际没有产生脏块,因而也就不会有“写块”的必要,故而也没有redo的产生。所产生的负载可能更多的体现在cpu time的使用上。

famous summary stack trace from Oracle Version 8.1.7.4.0 Bug Note

as this bug note claimed that:

PROBLEM:
——–
Customer frequently receives the following errors while rollback of a
transcation using Portal application:

ORA-603: ORACLE server session terminated by fatal error
ORA-600: internal error code, arguments: [6856], [0], [0], [], [], [], [],
[]

ORA-600: internal error code, arguments: [25012], [3], [15], [], [], [], [],
[]

DIAGNOSTIC ANALYSIS:
——————–
Alert.log:
~~~~~~~~~~
Wed May 19 12:47:28 2004
Errors in file /opt/oracle/admin/ORTPTP/udump/ortptp_ora_6363.trc:
ORA-603: ORACLE server session terminated by fatal error
ORA-600: internal error code, arguments: [6856], [0], [0], [], [], [], [],
[]
Wed May 19 14:38:39 2004
Errors in file /opt/oracle/admin/ORTPTP/udump/ortptp_ora_782.trc:
ORA-600: internal error code, arguments: [25012], [3], [15], [], [], [], [],
[]

Tablespace 3 = TEMP tablespace.

Block dump in tracefile ortptp_ora_21207.trc points to TEMP tablespace and
TEMP segment:
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Block header dump:  0x00c0b917
Object id on Block? Y
seg/obj: 0xc0b916  csc: 0×00.18f4bc  itc: 1  flg: O  typ: 1 – DATA
fsl: 0  fnx: 0×0 ver: 0×01
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

WORKAROUND:
———–

RELATED BUGS:
————-
3562030

REPRODUCIBILITY:
—————-
Frequently

TEST CASE:
———-

STACK TRACE:
————
Summary Stack   (to Full stack)   (to Function List)
ksedmp             # KSE: dump the process state
kgeriv             # KGE Record Internal error code (with Va_list) (IGNORE)
kgeasi             # Raise an error on an ASSERTION failure (IGNORE)
kdbmrd             ? Module Notes: kdb.c – Kernel Data Block structure and
internal manipulation
kdoqmd             ? Module Notes: kdo.c – Kernel Data Operations
kcoapl             NAME: kcoapl – Kernel Cache Op APpLy
kcbchg1
kcbchg
ktuapundo          ktuapundo – Kernel Transaction Undo APply UNdo
ktbapundo          ktbapundo – Kernel Transaction Block APply UNdo
kdoiur             declare local objects */
kcoubk             kcoubk – Kernel Cache Op Undo callBacK — invoke undo
callback routine    */
ktundo             ktundo – Kernel Transaction UNDO
ktubko             Get undo record to rollback transaction, non-CR only */
ktuabt             ktuabt – Kernel Transaction Undo ABorT
*/
ktcrab             KTC: Kernel Transaction Control Real ABort – Abort a
transaction.
ktdabt
k2labo             abort session: first abort aborts tx
k2send             TESTING SUPPORT:
xctrol             XaCTion ROLlback: Rollback the current transaction of the
current session.
opiodr             OPIODR: ORACLE code request driver – route the current
request
ttcpip             TTCPIP: Two Task Common PIPe read/write
opitsk             opitsk – Two Task Oracle Side Function Dispatcher
opiino             opiino – ORACLE Program Interface INitialize Opi
opiodr             OPIODR: ORACLE code request driver – route the current
request
opidrv             # opidrv – ORACLE Program Interface DRiVer (IGNORE)
sou2o              # Main Oracle executable entry point
main               # Standard executable entry point
start              # C program entry point (IGNORE)
**********************************************************************************************

another summary:

drepprep     perform the document indexing
evapls    EVAluate any PLSql function
kcmclscn    check Lamport SCN
kcsadj1    adjust SCN
kgesinv    KGE Signal Internal (Named) error (with VA_list)
kghalo    KGH: main allocation entry point
kghalp    KGH: Allocate permanent memory
kghfnd    KGH: Find a chunk of at least the minimum size
kghfrunp    KGH: Ask client to free unpinned space
kghfrx    Free extent. This is called when a heap is unpinned to request that it
kghgex    KGH: Get a new extent
kghnospc    KGH: There is no space available in the heap
kghpmalo    KGH: Find and return a permanent chunk of space
kghxal    Allocate a fixed size piece of shared memory.
kglhpd    KGL HeaP Deallocate
kglobcl    KGL OBject CLear all tables
kglpnal    KGL PiN ALlOcate
kglpnc    KGL: PiN heaps and load data pieces of a Cursor object
kglpndl    KGL PiN DeLete
kglrfcl    KGL ReFerence CLear
kgmexec    KGM EXECute
kkmpost    POST PROCESSING
kksalx    ALlocate ‘size’ bytes from the eXecution-time heap
kkscls    KKS: Close the cursor, user is done with it
kkspfda    Multiple context area management
kkssbt    KKS: set bind types
kksscl    KKS: scan child list?
koklcopy    KOK Lob COPY.
koklcpb2c    KOK Lob CoPy Binary data (BFILE/BLOB) into Clob
kolfgdir    KOL File Get DIRectory object, path and FileNames.
kpuexec    KPU: Execute
kpuexecv8    KPU: Execute V8
kpurcsc    KPU Remote Call with ServiceContext, Callbacks
kqdgtc    return an open and parsed cursor for the given statement
kqldprr    KQLD Parent Referential constraint Read
kqllod    KQL: database object load
kqlsadd    kqlsadd – KQLS ADD a new element to a subordinate set
kqlslod    KQLS: Load all subordinate set elements for a given heap
kslcll    KSL: Clean up after a given latch
kslcllt    Clean up after a given latch
kslilcr    invoke latch cleanup routine:
ksmapg    KSM: Callback function for allocating a PGA extent, calls OSD to alloc
ksmasg    Callback function for allocating an SGA extent.
kssxdl    KSS: delete SO ignoring all except severe errors. cleans latches
ksucln    KSUCLN: Cleanup detached process
ksudlc    delete call
ksudlp    KSU: delete process.called when user detaches or during cleanup by PMON
ksuxda    KSUCLN: Attempt to delete all processes that are marked dead.
ksuxdl    KSUCLN: Delete state object for PMON
ksuxfl    KSU: Find dead processes and cleanup their latches. Called by PMON
kxfpbgpc    Get Permanent Chunks
kxfpbgtc    Buffer Allocation Get Chunk
kxfpnfy    KXFP: NotiFY (component notifier)
kxfxse    KXFX: execute
kxstcls    Trace cursor closing
opicca    ORACLE Program Interface: Clear Context Area
opiclo    ORACLE Program Interface: CLOse cursor
opiprs    ORACLE Program Interface: PaRSe
opitca    OPITCA: sets up the context area
pextproc    Pefm call EXTernal PROCedure
qerocStart    This function creates a collection iterator row-source to iterate
qkadrv    QKADRV: allocate query structures
qkajoi    QKAJOI: Query Kernel Allocation: JOIn processing
qximeop    QXIM Evaluate OPerand
rpicls    RPI: Recursive Program Interface CLoSe
selexe    SELEXE: prepare context area for fetch
xtyinpr    XTY Insert Numeric PRecision operator

 

ORA-600 Lookup Error Categories

Applies to:

Oracle Server – Enterprise Edition – Version:
Oracle Server – Personal Edition – Version:
Oracle Server – Standard Edition – Version:
Information in this document applies to any platform.
Checked for relevance 04-Jun-2009

Purpose

This note aims to provide a high level overview of the internal errors which may be encountered on the Oracle Server (sometimes referred to as the Oracle kernel). It is written to provide a guide to where a particular error may live and give some indication as to what the impact of the problem may be. Where a problem is reproducible and connected with a specific feature, you might obviously try not using the feature. If there is a consistent nature to the problem, it is good practice to ensure that the latest patchsets are in place and that you have taken reasonable measures to avoid known issues.

For repeatable issues which the ora-600 tool has not listed a likely cause , it is worth constructing a test case. Where this is possible, it greatly assists in the resolution time of any issue. It is important to remember that, in a many instances , the Server is very flexible and a workaround can very often be achieved.

Scope and Application

This bulletin provides Oracle DBAs with an overview of internal database errors.

Disclaimer: Every effort has been made to provide a reasonable degree of accuracy in what has been stated. Please consider that the details provided only serve to provide an indication of functionality and, in some cases, may not be wholly correct.

ORA-600 Lookup Error Categories

In the Oracle Server source, there are two types of ora-600 error :

  • the first parameter is a number which reflects the source component or layer the error is connected with; or
  • the first parameter is a mnemonic which indicates the source module where the error originated. This type of internal error is now used in preference to an internal error number.

Both types of error may be possible in the Oracle server.

Internal Errors Categorised by number range

The following table provides an indication of internal error codes used in the Oracle server. Thus, if ora-600[X] is encountered, it is possible to glean some high level background information : the error in generated in the Y layer which indicates that there may be a problem with Z.

Ora-600 Base Functionality Description
1 Service Layer The service layer has within it a variety of service related components which are associated with in memory related activities in the SGA such as, for example : the management of Enqueues, System Parameters, System state objects (these objects track the use of structures in the SGA by Oracle server processes), etc.. In the main, this layer provides support to allow process communication and provides support for locking and the management of structures to support multiple user processes connecting and interacting within the SGA. Note : vos  – Virtual Operating System provides features to support the functionality above.  As the name suggests it provides base functionality in much the same way as is provided by an Operating System.

Ora-600 Base Functionality Description
1 vos Component notifier
100 vos Debug
300 vos Error
500 vos Lock
700 vos Memory
900 vos System Parameters
1100 vos System State object
1110 vos Generic Linked List management
1140 vos Enqueue
1180 vos Instance Locks
1200 vos User State object
1400 vos Async Msgs
1700 vos license Key
1800 vos Instance Registration
1850 vos I/O Services components
2000 Cache Layer Where errors are generated in this area, it is advisable to check whether the error is repeatable and whether the error is perhaps associated with recovery or undo type operations; where this is the case and the error is repeatable, this may suggest some kind of hardware or physical issue with a data file, control file or log file. The Cache layer is responsible for making the changes to the underlying files and well as managing the related memory structures in the SGA. Note : rcv indicates recovery. It is important to remember that the Oracle cache layer is effectively going through the same code paths as used by the recovery mechanism.

Ora-600 Base Functionality Description
2000 server/rcv Cache Op
2100 server/rcv Control File mgmt
2200 server/rcv Misc (SCN etc.)
2400 server/rcv Buffer Instance Hash Table
2600 server/rcv Redo file component
2800 server/rcv Db file
3000 server/rcv Redo Application
3200 server/cache Buffer manager
3400 server/rcv Archival & media recovery component
3600 server/rcv recovery component
3700 server/rcv Thread component
3800 server/rcv Compatibility segment

It is important  to consider when the error occurred and the context in which the error was generated. If the error does not reproduce, it may be an in memory issue.

4000 Transaction Layer Primarily the transaction layer is involved with maintaining structures associated with the management of transactions.  As with the cache layer , problems encountered in this layer may indicate some kind of issue at a physical level. Thus it is important to try and repeat the same steps to see if the problem recurs.

Ora-600 Base Functionality Description
4000 server/txn Transaction Undo
4100 server/txn Transaction Undo
4210 server/txn Transaction Parallel
4250 server/txn Transaction List
4300 space/spcmgmt Transaction Segment
4400 txn/lcltx Transaction Control
4450 txn/lcltx distributed transaction control
4500 txn/lcltx Transaction Block
4600 space/spcmgmt Transaction Table
4800 dict/rowcache Query Row Cache
4900 space/spcmgmt Transaction Monitor
5000 space/spcmgmt Transaction Extent

It is important to try and determine what the object involved in any reproducible problem is. Then use the analyze command. For more information, please refer to the analyze command as detailed in the context of  Note:28814.1; in addition, it may be worth using the dbverify as discussed in Note:35512.1.

6000 Data Layer The data layer is responsible for maintaining and managing the data in the database tables and indexes. Issues in this area may indicate some kind of physical issue at the object level and therefore, it is important to try and isolate the object and then perform an anlayze on the object to validate its structure.

Ora-600 Base Functionality Description
6000 ram/data
ram/analyze
ram/index
data, analyze command and index related activity
7000 ram/object lob related errors
8000 ram/data general data access
8110 ram/index index related
8150 ram/object general data access

Again, it is important to try and determine what the object involved in any reproducible problem is. Then use the analyze command. For more information, please refer to the analyze command as detailed in the context of  Note:28814.1; in addition, it may be worth using the dbverify as discussed in Note:35512.1.

12000 User/Oracle Interface & SQL Layer Components This layer governs the user interface with the Oracle server. Problems generated by this layer usually indicate : some kind of presentation or format error in the data received by the server, i.e. the client may have sent incomplete information; or there is some kind of issue which indicates that the data is received out of sequence

Ora-600 Base Functionality Description
12200 progint/kpo
progint/opi
lob related
errors at interface level on server side, xa , etc.
12300 progint/if OCI interface to coordinating global transactions
12400 sqlexec/rowsrc table row source access
12600 space/spcmgmt operations associated with tablespace : alter / create / drop operations ; operations associated with create table / cluster
12700 sqlexec/rowsrc bad rowid
13000 dict/if dictionary access routines associated with kernel compilation
13080 ram/index kernel Index creation
13080 sqllang/integ constraint mechanism
13100 progint/opi archival and Media Recovery component
13200 dict/sqlddl alter table mechanism
13250 security/audit audit statement processing
13300 objsupp/objdata support for handling of object generation and object access
14000 dict/sqlddl sequence generation
15000 progint/kpo logon to Oracle
16000 tools/sqlldr sql loader related

You should try and repeat the issue and with the use of sql trace , try and isolate where exactly the issue may be occurring within the application.

14000 System Dependent Component internal error values This layer manages interaction with the OS. Effectively it acts as the glue which allows the Oracle server to interact with the OS. The types of operation which this layer manages are indicated as follows.

Ora-600 Base Functionality Description
14000 osds File access
14100 osds Concurrency management;
14200 osds Process management;
14300 osds Exception-handler or signal handler management
14500 osds Memory allocation
15000 security/dac,
security/logon
security/ldap
local user access validation; challenge / response activity for remote access validation; auditing operation; any activities associated with granting and revoking of privileges; validation of password with external password file
15100 dict/sqlddl this component manages operations associated with creating, compiling (altering), renaming, invalidating, and dropping  procedures, functions, and packages.
15160 optim/cbo cost based optimizer layer is used to determine optimal path to the data based on statistical information available on the relevant tables and indexes.
15190 optim/cbo cost based optimizer layer. Used in the generation of a new index to determine how the index should be created. Should it be constructed from the table data or from another index.
15200 dict/shrdcurs used to in creating sharable context area associated with shared cursors
15230 dict/sqlddl manages the compilation of triggers
15260 dict/dictlkup
dict/libcache
dictionary lookup and library cache access
15400 server/drv manages alter system and alter session operations
15410 progint/if manages compilation of pl/sql packages and procedures
15500 dict/dictlkup performs dictionary lookup to ensure semantics are correct
15550 sqlexec/execsvc
sqlexec/rowsrc
hash join execution management;
parallel row source management
15600 sqlexec/pq component provides support for Parallel Query operation
15620 repl/snapshots manages the creation of snapshot or materialized views as well as related snapshot / MV operations
15640 repl/defrdrpc layer containing various functions for examining the deferred transaction queue and retrieving information
15660 jobqs/jobq manages the operation of the Job queue background processes
15670 sqlexec/pq component provides support for Parallel Query operation
15700 sqlexec/pq component provides support for Parallel Query operation; specifically mechanism for starting up and shutting down query slaves
15800 sqlexec/pq component provides support for Parallel Query operation
15810 sqlexec/pq component provides support for Parallel Query operation; specifically functions for creating mechanisms through which Query co-ordinator can communicate with PQ slaves;
15820 sqlexec/pq component provides support for Parallel Query operation
15850 sqlexec/execsvc component provides support for the execution of SQL statements
15860 sqlexec/pq component provides support for Parallel Query operation
16000 loader sql Loader direct load operation;
16150 loader this layer is used for ‘C’ level call outs to direct loader operation;
16200 dict/libcache this is part of library Cache operation. Amongst other things it manages the dependency of SQL objects and tracks who is permitted to access these objects;
16230 dict/libcache this component is responsible for managing access to remote objects as part of library Cache operation;
16300 mts/mts this component relates to MTS (Multi Threaded Server) operation
16400 dict/sqlddl this layer contains functionality which allows tables to be loaded / truncated and their definitions to be modified. This is part of dictionary operation;
16450 dict/libcache this layer layer provides support for multi-instance access to the library cache; this functionality is applicable therefore to OPS environments;
16500 dict/rowcache this layer provides support to load / cache Oracle’s dictionary in memory in the library cache;
16550 sqlexec/fixedtab this component maps data structures maintained in the Oracle code to fixed tables such that they can be queried using the SQL layer;
16600 dict/libcache this layer performs management of data structures within the library cache;
16651 dict/libcache this layer performs management of dictionary related information within library Cache;
16701 dict/libcache this layer provides library Cache support to support database creation and forms part of the bootstrap process;
17000 dict/libcache this is the main library Cache manager. This Layer maintains the in memory representation of cached sql statements together will all the necessary support that this demands;
17090 generic/vos this layer implementations error management operations: signalling errors, catching  errors, recovering from errors, setting error frames, etc.;
17100 generic/vos Heap manager. The Heap manager manages the storage of internal data in an orderly and consistent manner. There can be many heaps serving various purposes; and heaps within heaps. Common examples are the SGA heap, UGA heap and the PGA heap. Within a Heap there are consistency markers which aim to ensure that the Heap is always in a consistent state. Heaps are use extensively and are in memory structures – not on disk.
17200 dict/libcache this component deals with loading remote library objects into the local library cache with information from the remote database.
17250 dict/libcache more library cache errors ; functionality for handling pipe operation associated with dbms_pipe
17270 dict/instmgmt this component manages instantiations of procedures, functions, packages, and cursors in a session. This provides a means to keep track of what has been loaded in the event of process death;
17300 generic/vos manages certain types of memory allocation structure.  This functionality is an extension of the Heap manager.
17500 generic/vos relates to various I/O operations. These relate to async i/o operation,  direct i/o operation and the management of writing buffers from the buffer cache by potentially a number of database writer processes;
17625 dict/libcache additional library Cache supporting functions
17990 plsql plsql ‘standard’ package related issues
18000 txn/lcltx transaction and savepoint management operations
19000 optim/cbo cost based optimizer related operations
20000 ram/index bitmap index and index related errors.
20400 ram/partnmap operations on partition related objects
20500 server/rcv server recovery related operation
21000 repl/defrdrpc,
repl/snapshot,
repl/trigger
replication related features
23000 oltp/qs AQ related errors.
24000 dict/libcache operations associated with managing stored outlines
25000 server/rcv tablespace management operations

Internal Errors Categorised by mnemonic

The following table details mnemonics error stems which are possible. If you have encountered : ora-600[kkjsrj:1] for example, you should look down the Error Mnemonic column (errors in alphabetical order) until you find the matching stem. In this case, kkj indicates that something unexpected has occurred in job queue operation.

Error Mnemonic(s) Functionality Description
ain ainp ram/index ain – alter index; ainp -  alter index partition management operation
apacb optim/rbo used by optimizer in connect by processing
atb atbi atbo ctc ctci cvw dict/sqlddl alter table , create table (IOT) or cluster operations as well as create view related operations (with constraint handling functionality)
dbsdrv sqllang/parse alter / create database operation
ddfnet progint/distrib various distributed operations on remote dictionary
delexe sqlexec/dmldrv manages the delete statement operation
dix ram/index manages drop index or validate index operation
dtb dict/sqlddl manages drop table operation
evaa2g evah2p evaa2g dbproc/sqlfunc various functions involves in evaluating operand outcomes such as : addition , average, OR operator, bites AND , bites OR, concatenation, as well as Oracle related functions : count(), dump() , etc. The list is extensive.
expcmo expgon dbproc/expreval handles expression evaluation with respect to two operands being equivalent
gra security/dac manages the granting and revoking of privilege rights to a user
gslcsq plsldap support for operations with an LDAP server
insexe sqlexec/dmldrv handles the insert statement operation
jox progint/opi functionality associated with the Java compiler and with the Java runtime environment within the Server
k2c k2d progint/distrib support for database to database operation in distributed environements as well as providing, with respect to the 2-phase commit protocol, a globally unique Database id
k2g k2l txn/disttx support for the 2 phase commit protocol protocol and the coordination of the various states in managing the distributed transaction
k2r k2s k2sp progint/distrib k2r – user interface for managing distributed transactions and combining distributed results ; k2s – handles logging on, starting a transaction, ending a transaction and recovering a transaction; k2sp – management of savepoints in a distributed environment.
k2v txn/disttx handles distributed recovery operation
kad cartserv/picklercs handles OCIAnyData implementation
kau ram/data manages the modification of indexes for inserts, updates and delete operations for IOTs as well as modification of indexes for IOTs
kcb kcbb kcbk kcbl kcbs kcbt kcbw kcbz cache manages Oracle’s buffer cache operation as well as operations used by capabilities such as direct load, has clusters , etc.
kcc kcf rcv manages and coordinates operations on the control file(s)
kcit context/trigger internal trigger functionality
kck rcv compatibility related checks associated with the compatible parameter
kcl cache background lck process which manages locking in a RAC or parallel server multiple instance environment
kco kcq kcra kcrf kcrfr kcrfw kcrp kcrr kcs kct kcv rcv various buffer cache operation such as quiesce operation , managing fast start IO target, parallel recovery operation , etc.
kd ram/data support for row level dependency checking and some log miner operations
kda ram/analyze manages the analyze command and collection of statistics
kdbl kdc kdd ram/data support for direct load operation, cluster space management and deleting rows
kdg ram/analyze gathers information about the underlying data and is used by the analyze command
kdi kdibc3 kdibco kdibh kdibl kdibo kdibq kdibr kdic kdici kdii kdil kdir kdis kdiss kdit kdk ram/index support of the creation of indexes on tables an IOTs and index look up
kdl kdlt ram/object lob and temporary lob management
kdo ram/data operations on data such as inserting a row piece or deleting a row piece
kdrp ram/analyze underlying support for operations provided by the dbms_repair package
kds kdt kdu ram/data operations on data such as retrieving a row and updating existing row data
kdv kdx ram/index functionality for dumping index and managing index blocks
kfc kfd kfg asm support for ASM file and disk operations
kfh kfp kft rcv support for writing to file header and transportable tablespace operations
kgaj kgam kgan kgas kgat kgav kgaz argusdbg/argusdbg support for Java Debug Wire Protocol (JDWP) and debugging facilites
kgbt kgg kgh kghs kghx kgkp vos kgbt – support for BTree operations; kgg – generic lists processing; kgh – Heap Manager : managing the internal structures withing the SGA / UGA / PGA and ensures their integrity; kghs – Heap manager with Stream support; kghx – fixed sized shared memory manager; kgkp – generic services scheduling policies
kgl kgl2 kgl3 kgla kglp kglr kgls dict/libcache generic library cache operation
kgm kgmt ilms support for inter language method services – or calling one language from another
kgrq kgsk kgski kgsn kgss vos support for priority queue and scheduling; capabilities for Numa support;  Service State object manager
kgupa kgupb kgupd0 kgupf kgupg kgupi kgupl kgupm kgupp kgupt kgupx kguq2 kguu vos Service related activities activities associated with for Process monitor (PMON); spawning or creating of background processes; debugging; managing process address space;  managing the background processes; etc.
kgxp vos inter process communication related functions
kjak kjat kjb kjbl kjbm kjbr kjcc kjcs kjctc kjcts kjcv kjdd kjdm kjdr kjdx kjfc kjfm kjfs kjfz kjg kji kjl kjm kjp kjr kjs kjt kju kjx ccl/dlm dlm related functionality ; associated with RAC or parallel server operation
kjxgf kjxgg kjxgm kjxgn kjxgna kjxgr ccl/cgs provides communication & synchronisation associated with GMS or OPS related functionality as well as name service and OPS Instance Membership Recovery Facility
kjxt ccl/dlm DLM request message management
kjzc kjzd kjzf kjzg kjzm ccl/diag support for diagnosibility amongst OPS related services
kkb dict/sqlddl support for operatoins which load/change table definitions
kkbl kkbn kkbo objsupp/objddl support for tables with lobs , nested tables and varrays as well as columns with objects
kkdc kkdl kkdo dict/dictlkup support for constraints, dictionary lookup and dictionary support for objects
kke optim/cbo query engine cost engine; provides support functions that provide cost estimates for queries under a number of different circumstances
kkfd sqlexec/pq support for performing parallel query operation
kkfi optim/cbo optimizer support for matching of expressions against functional ndexes
kkfr kkfs sqlexec/pq support for rowid range handling as well as for building parallel query query operations
kkj jobqs/jobq job queue operation
kkkd kkki dict/dbsched resource manager related support. Additionally, provides underlying functions provided by dbms_resource_manager and dbms_resource_manager_privs packages
kklr dict/sqlddl provides functions used to manipulate LOGGING and/or RECOVERABLE attributes of an object (non-partitioned table or index or  partitions of a partitioned table or index)
kkm kkmi dict/dictlkup provides various semantic checking functions
kkn ram/analyze support for the analyze command
kko kkocri optim/cbo Cost based Optimizer operation : generates alternative execution plans in order to find the optimal / quickest access to the data.  Also , support to determine cost and applicability of  scanning a given index in trying to create or rebuild an index or a partition thereof
kkpam kkpap ram/partnmap support for mapping predicate keys expressions to equivalent partitions
kkpo kkpoc kkpod dict/partn support for creation and modification of partitioned objects
kkqg kkqs kkqs1 kkqs2 kkqs3 kkqu kkqv kkqw optim/vwsubq query rewrite operation
kks kksa kksh kksl kksm dict/shrdcurs support for managing shared cursors/ shared sql
kkt dict/sqlddl support for creating, altering and dropping trigger definitions as well as handling the trigger operation
kkxa repl/defrdrpc underlying support for dbms_defer_query package operations
kkxb dict/sqlddl library cache interface for external tables
kkxl dict/plsicds underlying support for the dbms_lob package
kkxm progint/opi support for inter language method services
kkxs dict/plsicds underlying support for the dbms_sys_sql package
kkxt repl/trigger support for replication internal trigger operation
kkxwtp progint/opi entry point into the plsql compiler
kky drv support for alter system/session commands
kkz kkzd kkzf kkzg kkzi kkzj kkzl kkzo kkzp kkzq kkzr kkzu kkzv repl/snapshot support for snapshots or Materialized View validation and operation
kla klc klcli klx tools/sqlldr support for direct path sql loader operation
kmc kmcp kmd kmm kmr mts/mts support for Multi Threaded server operation (MTS) : manange and operate the virtual circuit mechanism, handle the dispatching of massages, administer shared servers and for collecting and maintaining statistics associated with MTS
knac knafh knaha knahc knahf knahs repl/apply replication apply operation associated with Oracle streams
kncc repl/repcache support for replication related information stored and maintained in library cache
kncd knce repl/defrdrpc replication related enqueue and dequeue of transction data as well as other queue related operations
kncog repl/repcache support for loading replicaiton object group information into library cache
kni repl/trigger support for replication internal trigger operation
knip knip2 knipi knipl knipr knipu knipu2 knipx repl/intpkg support for replication internal package operation.
kno repl/repobj support for replication objects
knp knpc knpcb knpcd knpqc knps repl/defrdrpc operations assocaied with propagating transactions to a remote node and coordination of this activity.
knst repl/stats replication statistics collection
knt kntg kntx repl/trigger support for replication internal trigger operation
koc objmgmt/objcache support for managing ADTs objects in the OOCI heap
kod objmgmt/datamgr support for persistent storage for objects : for read/write objects, to manage object IDs, and to manage object concurrency and recovery.
koh objmgmt/objcache object heap manager provides memory allocation services for objects
koi objmgmt/objmgr support for object types
koka objsupp/objdata support for reading images, inserting images, updating images, and deleting images based on object references (REFs).
kokb kokb2 objsupp/objsql support for nested table objects
kokc objmgmt/objcache support for pinning , unpinning and freeing objects
kokd objsupp/datadrv driver on the server side for managing objects
koke koke2 koki objsupp/objsql support for managing objects
kokl objsupp/objdata lob access
kokl2 objsupp/objsql lob DML and programmatic interface support
kokl3 objsupp/objdata object temporary LOB support
kokle kokm objsupp/objsql object SQL evaluation functions
kokn objsupp/objname naming support for objects
koko objsupp/objsup support functions to allow oci/rpi to communicate with Object Management Subsystem (OMS).
kokq koks koks2 koks3 koksr objsupp/objsql query optimisation for objects , semantic checking and semantic rewrite operations
kokt kokt2 kokt3 objsupp/objddl object compilation type manager
koku kokv objsupp/objsql support for unparse object operators and object view support
kol kolb kole kolf kolo objmgmt/objmgr support for object Lob buffering , object lob evaluation and object Language/runtime functions for Opaque types
kope2 kopi2 kopo kopp2 kopu koputil kopz objmgmt/pickler 8.1 engine implementation,  implementation of image ops for 8.1+ image format together with various pickler related support functions
kos objsupp/objsup object Stream interfaces for images/objects
kot kot2 kotg objmgmt/typemgr support for dynamic type operations to create, delete, and  update types.
koxs koxx objmgmt/objmgt object generic image Stream routines and miscellaneous generic object functions
kpcp kpcxlt progint/kpc Kernel programmatic connection pooling and kernel programmatic common type XLT translation routines
kpki progint/kpki kernel programatic interface support
kpls cartserv/corecs support for string formatting operations
kpn progint/kpn support for server to server communication
kpoal8 kpoaq kpob kpodny kpodp kpods kpokgt kpolob kpolon kpon progint/kpo support for programmatic operations
kpor progint/opi support for streaming protocol used by replication
kposc progint/kpo support for scrollable cursors
kpotc progint/opi oracle side support functions for setting up trusted external procedure callbacks
kpotx kpov progint/kpo support for managing local and distributed transaction coordination.
kpp2 kpp3 sqllang/parse kpp2 – parse routines for dimensions;
kpp3 – parse support for create/alter/drop summary  statements
kprb kprc progint/rpi support for executing sql efficiently on the Oracle server side as well as for copying data types during rpi operations
kptsc progint/twotask callback functions provided to all streaming operation as part of replication functionality
kpu kpuc kpucp progint/kpu Oracle kernel side programmatic user interface,  cursor management functions and client side connection pooling support
kqan kqap kqas argusdbg/argusdbg server-side notifiers and callbacks for debug operations.
kql kqld kqlp dict/libcache SQL Library Cache manager – manages the sharing of sql statements in the shared pool
kqr dict/rowcache row cache management. The row cache consists of a set of facilities to provide fast access to table definitions and locking capabilities.
krbi krbx krby krcr krd krpi rcv Backup and recovery related operations :
krbi – dbms_backup_restore package underlying support.; krbx -  proxy copy controller; krby – image copy; krcr – Recovery Controlfile Redo; krd – Recover Datafiles (Media & Standby Recovery);  krpi – support for the package : dbms_pitr
krvg krvt rcv/vwr krvg – support for generation of redo associated with DDL; krvt – support for redo log miner viewer (also known as log miner)
ksa ksdp ksdx kse ksfd ksfh ksfq ksfv ksi ksim ksk ksl ksm ksmd ksmg ksn ksp kspt ksq ksr kss ksst ksu ksut vos support for various kernel associated capabilities
ksx sqlexec/execsvc support for query execution associated with temporary tables
ksxa ksxp ksxr vos support for various kernel associated capabilities in relation to OPS or RAC operation
kta space/spcmgmt support for DML locks and temporary tables associated with table access
ktb ktbt ktc txn/lcltx transaction control operations at the block level : locking block, allocating space within the block , freeing up space, etc.
ktec ktef ktehw ktein ktel kteop kteu space/spcmgmt support for extent management operations :
ktec – extent concurrency operations; ktef – extent format; ktehw – extent high water mark operations; ktein – extent  information operations; ktel – extent support for sql loader; kteop – extent operations : add extent to segment, delete extent, resize extent, etc. kteu – redo support for operations changing segment header / extent map
ktf txn/lcltx flashback support
ktfb ktfd ktft ktm space/spcmgmt ktfb – support for bitmapped space manipulation of files/tablespaces;  ktfd – dictionary-based extent management; ktft – support for temporary file manipulation; ktm – SMON operation
ktp ktpr ktr ktri txn/lcltx ktp – support for parallel transaction operation; ktpr – support for parallel transaction recovery; ktr – kernel transaction read consistency;
ktri – support for dbms_resumable package
ktsa ktsap ktsau ktsb ktscbr ktsf ktsfx ktsi ktsm ktsp ktss ktst ktsx ktt kttm space/spcmgmt support for checking and verifying space usage
ktu ktuc ktur ktusm txn/lcltx internal management of undo and rollback segments
kwqa kwqi kwqic kwqid kwqie kwqit kwqj kwqm kwqn kwqo kwqp kwqs kwqu kwqx oltp/qs support for advanced queuing :
kwqa – advanced queue administration; kwqi – support for AQ PL/SQL trusted callouts; kwqic – common AQ support functions; kwqid – AQ dequeue support; kwqie – AQ enqueu support ; kwqit – time management operation ; kwqj – job queue scheduler for propagation; kwqm – Multiconsumer queue IOT support; kwqn – queue notifier; kwqo – AQ support for checking instType checking options; kwqp – queueing propagation; kwqs – statistics handling; kwqu – handles lob data. ; kwqx – support for handling transformations
kwrc kwre oltp/re rules engine evaluation
kxcc kxcd kxcs sqllang/integ constraint processing
kxdr sqlexec/dmldrv DML driver entrypoint
kxfp kxfpb kxfq kxfr kxfx sqlexec/pq parallel query support
kxhf kxib sqlexec/execsvc khhf- support for hash join file and memory management; kxib – index buffering operations
kxs dict/instmgmt support for executing shared cursors
kxti kxto kxtr dbproc/trigger support for trigger operation
kxtt ram/partnmap support for temporary table operations
kxwph ram/data support for managing attributes of the segment of a table / cluster / table-partition
kza security/audit support for auditing operations
kzar security/dac support for application auditing
kzck security/crypto encryption support
kzd security/dac support for dictionary access by security related functions
kzec security/dbencryption support inserting and retrieving encrypted objects into and out of the database
kzfa kzft security/audit support for fine grained auditing
kzia security/logon identification and authentication operations
kzp kzra kzrt kzs kzu kzup security/dac security related operations associated with privileges
msqima msqimb sqlexec/sqlgen support for generating sql statments
ncodef npi npil npixfr progint/npi support for managing remote network connection from  within the server itself
oba sqllang/outbufal operator buffer allocate for various types of operators : concatenate, decode, NVL, etc.  the list is extensive.
ocik progint/oci OCI oracle server functions
opiaba opidrv opidsa opidsc opidsi opiexe opifch opiino opilng opipar opipls opirip opitsk opix progint/opi OPI Oracle server functions – these are at the top of the server stack and are called indirectly by ythe client in order to server the client request.
orlr objmgmt/objmgr support for  C langauge interfaces to user-defined types (UDTs)
orp objmgmt/pickler oracle’s external pickler / opaque type interfaces
pesblt pfri pfrsqc plsql/cox pesblt – pl/sql built in interpreter; pfri – pl/sql runtime; pfrsqc – pl/sql callbacks for array sql and dml with returning
piht plsql/gen/utl support for pl/sql implementation of utl_http package
pirg plsql/cli/utl_raw support for pl/sql implementation of utl_raw package
pism plsql/cli/utl_smtp support for pl/sql implementation of utl_smtp package
pitcb plsql/cli/utl_tcp support for pl/sql implementation of utl_tcp package
piur plsql/gen/utl_url support for pl/sql implementation of utl_url package
plio plsql/pkg pl/sql object instantiation
plslm plsql/cox support for NCOMP processing
plsm pmuc pmuo pmux objmgmt/pol support for pl/sql handling of collections
prifold priold plsql/cox support to allow rpc forwarding to an older release
prm sqllang/param parameter handling associated with sql layer
prsa prsc prssz sqllang/parse prsa – parser for alter cluster command; prsc – parser for create database command; prssz – support for parse context to be saved
psdbnd psdevn progint/dbpsd psdbnd – support for managing bind variables; psdevn – support for pl/sql debugger
psdicd progint/plsicds small number of ICD to allow pl/sql to call into ‘C’ source
psdmsc psdpgi progint/dbpsd psdmsc – pl/sql system dependent miscellaneous functions ; psdpgi – support for opening and closing cursors in pl/sql
psf plsql/pls pl/sql service related functions for instantiating called pl/sql unit in library cache
qbadrv qbaopn sqllang/qrybufal provides allocation of buffer and control structures in query execution
qcdl qcdo dict/dictlkup qcdl – query compile semantic analysis; qcdo – query compile dictionary support for objects
qci dict/shrdcurs support for SQL language parser and semantic analyser
qcop qcpi qcpi3 qcpi4 qcpi5 sqllang/parse support for query compilation parse phase
qcs qcs2 qcs3 qcsji qcso dict/dictlkup support for semantic analysis by SQL compiler
qct qcto sqllang/typeconv qct – query compile type check operations; qcto -  query compile type check operators
qcu sqllang/parse various utilities provided for sql compilation
qecdrv sqllang/qryedchk driver performing high level checks on sql language query capabilities
qerae qerba qerbc qerbi qerbm qerbo qerbt qerbu qerbx qercb qercbi qerco qerdl qerep qerff qerfi qerfl qerfu qerfx qergi qergr qergs qerhc qerhj qeril qerim qerix qerjm qerjo qerle qerli qerlt qerns qeroc qeroi qerpa qerpf qerpx qerrm qerse qerso qersq qerst qertb qertq qerua qerup qerus qervw qerwn qerxt sqlexec/rowsrc row source operators :
qerae – row source (And-Equal) implementation; qerba – Bitmap Index AND row source; qerbc – bitmap index compaction row source; qerbi – bitmap index creation row source; qerbm – QERB Minus row source; qerbo  – Bitmap Index OR row source; qerbt – bitmap convert row source; qerbu – Bitmap Index Unlimited-OR row source; qerbx – bitmap index access row source; qercb – row source: connect by; qercbi – support for connect by; qerco – count row source; qerdl – row source delete; qerep – explosion row source; qerff – row source fifo buffer; qerfi  – first row row source; qerfl  – filter row source definition; qerfu – row source: for update; qerfx – fixed table row source; qergi – granule iterator row source; qergr – group by rollup row source; qergs – group by sort row source; qerhc – row sources hash clusters; qerhj – row source Hash Join;  qeril  – In-list row source; qerim – Index Maintenance row source; qerix – Index row source; qerjo – row source: join; qerle – linear execution row source implementation; qerli – parallel create index; qerlt – row source populate Table;  qerns  – group by No Sort row source; qeroc – object collection iterator row source; qeroi – extensible indexing query component; qerpa – partition row sources; qerpf – query execution row source: prefetch; qerpx – row source: parallelizer; qerrm – remote row source; qerse – row source: set implementation; qerso – sort row source; qersq – row source for sequence number; qerst  – query execution row sources: statistics; qertb – table row source; qertq  – table queue row source; qerua – row source : union-All;
qerup – update row source; qerus – upsert row source ; qervw – view row source; qerwn – WINDOW row source; qerxt – external table fetch row source
qes3t qesa qesji qesl qesmm qesmmc sqlexec/execsvc run time support for sql execution
qkacon qkadrv qkajoi qkatab qke qkk qkn qkna qkne sqlexec/rwsalloc SQL query dynamic structure allocation routines
qks3t sqlexec/execsvc query execution service associated with temp table transformation
qksmm qksmms qksop sqllang/compsvc qksmm -  memory management services for the SQL compiler; qksmms – memory management simulation services for the SQL compiler; qksop – query compilation service for operand processing
qkswc sqlexec/execsvc support for temp table transformation associated for with clause.
qmf xmlsupp/util support for ftp server; implements processing of ftp commands
qmr qmrb qmrs xmlsupp/resolver support hierarchical resolver
qms xmlsupp/data support for storage and retrieval of XOBs
qmurs xmlsupp/uri support for handling URIs
qmx qmxsax xmlsupp/data qmx – xml support; qmxsax – support for handling sax processing
qmxtc xmlsupp/sqlsupp support for ddl  and other operators related to the sql XML support
qmxtgx xmlsupp support for transformation : ADT -> XML
qmxtsk xmlsupp/sqlsupp XMLType support functions
qsme summgmt/dict summary management expression processing
qsmka qsmkz dict/dictlkup qsmka – support to analyze request in order to determine whether a summary could be created that would be useful; qsmkz – support for create/alter summary semantic analysis
qsmp qsmq qsmqcsm qsmqutl summgmt/dict qsmp – summary management partition processing; qsmq – summary management dictionary access; qsmqcsm – support for create / drop / alter summary and related dimension operations; qsmqutl – support for summaries
qsms summgmt/advsvr summary management advisor
qxdid objsupp/objddl support for domain index ddl operations
qxidm objsupp/objsql support for extensible index dml operations
qxidp objsupp/objddl support for domain index ddl partition operations
qxim objsupp/objsql extensible indexing support for objects
qxitex qxopc qxope objsupp/objddl qxitex – support for create / drop indextype; qxope – execution time support for operator  callbacks; qxope – execution time support for operator DDL
qxopq qxuag qxxm objsupp/objsql qxopq – support for queries with user-defined operators; qxuag – support for user defined aggregate processing; qxxm – queries involving external tables
rfmon rfra rfrdb rfrla rfrm rfrxpt drs implements 9i data guard broker monitor
rnm dict/sqlddl manages rename statement operation
rpi progint/rpi recursive procedure interface which handles the the environment setup where multiple recursize statements are executed from one top level statement
rwoima sqlexec/rwoprnds row operand operations
rwsima sqlexec/rowsrc row source implementation/retrieval according to the defining query
sdbima sqlexec/sort manages and performs sort operation
selexe sqlexec/dmldrv handles the operation of select statement execution
skgm osds platform specific memory management rountines interfacing with O.S. allocation functions
smbima sor sqlexec/sort manages and performs sort operation
sqn dict/sqlddl support for parsing references to sequences
srdima srsima stsima sqlexec/sort manages and performs sort operation
tbsdrv space/spcmgmt operations for executing create / alter / drop tablespace and related supporting functions
ttcclr ttcdrv ttcdty ttcrxh ttcx2y progint/twotask two task common layer which provides high level interaction and negotiation functions for Oracle client when communicating with the server.  It also provides important function of converting client side data / data types into equivalent on the server and vice versa
uixexe ujiexe updexe upsexe sqlexec/dmldrv support for : index maintenance operations, the execution of the update statement and associated actions connected with update as well as the upsert command which combines the operations of update and insert
vop optim/vwsubq view optimisation related functionality
xct txn/lcltx support for the management of transactions and savepoint operations
xpl sqlexec/expplan support for the explain plan command
xty sqllang/typeconv type checking functions
zlke security/ols/intext label security error handling component

部分行索引使用介绍

函数索引是Oracle索引中比较特殊的,我们这里讨论函数索引中部分行索引的使用。
部分行索引顾名思义仅就表中的一部分记录做索引,请看代码示例:

drop table test;

create table test  (t1 int, t2 char(1));
declare
i int :=0;
begin
while i<100000
loop

insert into test values( i, ‘N’);
i:=i+1;
commit;
end loop;
end;

在test表上插入大量t2为N的行,并插入少量t2为Y的行
create index ind_t2y on test( case t2 when ‘Y’ then t2 end);

SQL> select count(*) from test;

COUNT(*)
———-
100004

表上供有100004条数据

SQL> select count(*) from test where t2=’Y';

COUNT(*)
———-
4
为t2列为’Y'的共有4条。

我们来分析该索引:

SQL> analyze index ind_t2y validate structure;

索引已分析

SQL> select lf_rows from index_stats;

LF_ROWS
———-
4

可以看到确实仅记录了4条记录。

我们尝试利用此部分行索引:

SQL> set autotrace on;
SQL> select count(*) from test where t2=’Y';

COUNT(*)
———-
4

Execution Plan
———————————————————-
Plan hash value: 1950795681

—————————————————————————
| Id  | Operation          | Name | Rows  | Bytes | Cost (%CPU)| Time     |
—————————————————————————
|   0 | SELECT STATEMENT   |      |     1 |     3 |    43  (12)| 00:00:01 |
|   1 |  SORT AGGREGATE    |      |     1 |     3 |            |          |
|*  2 |   TABLE ACCESS FULL| TEST |     2 |     6 |    43  (12)| 00:00:01 |
—————————————————————————

Predicate Information (identified by operation id):
—————————————————

2 – filter(“T2″=’Y')

Note
—–
- dynamic sampling used for this statement

Statistics
———————————————————-
0  recursive calls
0  db block gets
171  consistent gets
0  physical reads
0  redo size
515  bytes sent via SQL*Net to client
469  bytes received via SQL*Net from client
2  SQL*Net roundtrips to/from client
0  sorts (memory)
0  sorts (disk)
1  rows processed

没有如预期地使用索引,我们加上hint 再试试

SQL> select /*+ index(test ind_t2y) */ count(*) from test where t2=’Y';

COUNT(*)
———-
4

Execution Plan
———————————————————-
Plan hash value: 2501600095

—————————————————————————————-
| Id  | Operation                    | Name    | Rows  | Bytes | Cost (%CPU)| Time     |
—————————————————————————————-
|   0 | SELECT STATEMENT             |         |     1 |     3 |     2   (0)| 00:00:01 |
|   1 |  SORT AGGREGATE              |         |     1 |     3 |            |          |
|*  2 |   TABLE ACCESS BY INDEX ROWID| TEST    |     2 |     6 |     2   (0)| 00:00:01 |
|   3 |    INDEX FULL SCAN           | IND_T2Y | 98705 |       |     1   (0)| 00:00:01 |
—————————————————————————————-

Predicate Information (identified by operation id):
—————————————————

2 – filter(“T2″=’Y')

Note
—–
- dynamic sampling used for this statement

Statistics
———————————————————-
0  recursive calls
0  db block gets
2  consistent gets
0  physical reads
0  redo size
515  bytes sent via SQL*Net to client
469  bytes received via SQL*Net from client
2  SQL*Net roundtrips to/from client
0  sorts (memory)
0  sorts (disk)
1  rows processed

在使用部分行索引的情况下逻辑读大大下降了。
在不加hint的情况下优化器似乎永远无法做出正确的选择,即便修改了CBO相关的参数:

SQL> alter system set optimizer_index_cost_adj=1;

System altered.

SQL> select t2 from test where t2=’Y';

T
-
Y
Y
Y
Y

Execution Plan
———————————————————-
Plan hash value: 1357081020

————————————————————————–
| Id  | Operation         | Name | Rows  | Bytes | Cost (%CPU)| Time     |
————————————————————————–
|   0 | SELECT STATEMENT  |      |     2 |     6 |    43  (12)| 00:00:01 |
|*  1 |  TABLE ACCESS FULL| TEST |     2 |     6 |    43  (12)| 00:00:01 |
————————————————————————–

仅在where 子句中指定了case when then模式时,优化器自觉地使用了该部分行索引:
SQL>  select * from test where case t2 when ‘Y’ then t2 end =’Y';

T1 T
———- -
100001 Y
100002 Y
100003 Y
100004 Y

Execution Plan
———————————————————-
Plan hash value: 837354983

—————————————————————————————
| Id  | Operation                   | Name    | Rows  | Bytes | Cost (%CPU)| Time     |
—————————————————————————————
|   0 | SELECT STATEMENT            |         |     2 |    32 |     1   (0)| 00:00:01 |
|   1 |  TABLE ACCESS BY INDEX ROWID| TEST    |     2 |    32 |     1   (0)| 00:00:01 |
|*  2 |   INDEX RANGE SCAN          | IND_T2Y |     1 |       |     1   (0)| 00:00:01 |
—————————————————————————————

Predicate Information (identified by operation id):
—————————————————

2 – access(CASE  WHEN “T2″=’Y’ THEN “T2″ END =’Y')

Note
—–
- dynamic sampling used for this statement

Statistics
———————————————————-
0  recursive calls
0  db block gets
4  consistent gets
0  physical reads
0  redo size
650  bytes sent via SQL*Net to client
469  bytes received via SQL*Net from client
2  SQL*Net roundtrips to/from client
0  sorts (memory)
0  sorts (disk)
4  rows processed

部分行索引在特定情况下(譬如某表中仅少数特定行有大量查询更新操作)可以发挥非常巨大的作用。

autotrace在绑定变量情况下不准确的问题

通常我们在检验SQL执行计划时采用autotrace的方法,但autotrace本身存在许多不准确的情况。
以下为一个例子:
SQL> create table test(t1 int, t2 char(200));

表已创建。

SQL> create index ind_t2 on test(t2);

索引已创建。

SQL> insert into test values (0,’A');

已创建 1 行。

SQL> commit;

提交完成。

SQL> begin
2  for i in 1..100000 loop
3  insert into test values(i,’ZZZZ’);
4  end loop;
5  commit;
6  end;
7  /
SQL> analyze table test compute statistics ;

表已分析。

SQL> analyze index ind_t2 compute statistics;

索引已分析

SQL> analyze table test compute statistics for all indexed columns;

表已分析。

以上代码 在test表中 产生一条t2为A的记录以及10万条t2为ZZZZ的语句,即列上值出现严重的倾斜。
SQL> set autotrace on;
SQL> variable a char;
SQL> exec :a:=’A';
SQL> alter system flush shared_pool;

系统已更改。
PL/SQL 过程已成功完成。

SQL> oradebug setmypid;
已处理的语句
SQL> oradebug event 10046 trace name context forever,level 10;
已处理的语句

SQL> select * from test where t2=:a;

T1
———-
T2
————————————————————————–
0
A

执行计划
———————————————————-
Plan hash value: 1357081020

————————————————————————–
| Id  | Operation         | Name | Rows  | Bytes | Cost (%CPU)| Time     |
————————————————————————–
|   0 | SELECT STATEMENT  |      | 50001 |  9961K|   652   (2)| 00:00:08 |
|*  1 |  TABLE ACCESS FULL| TEST | 50001 |  9961K|   652   (2)| 00:00:08 |
————————————————————————–

Predicate Information (identified by operation id):
—————————————————

1 – filter(“T2″=:A)

统计信息
———————————————————-
231  recursive calls
0  db block gets
38  consistent gets
0  physical reads
0  redo size
654  bytes sent via SQL*Net to client
385  bytes received via SQL*Net from client
2  SQL*Net roundtrips to/from client
4  sorts (memory)
0  sorts (disk)
1  rows processed

SQL> oradebug tracefile_name;
e:\oracle\product\10.2.0\admin\orclv\udump\orclv_ora_4956.trc

使用tkprof 工具对 trace文件整理
tkprof  e:\oracle\product\10.2.0\admin\orclv\udump\orclv_ora_4956.trc C:\ora_4956.trc

可以找到以上查询的实际执行计划。
select *
from
test where t2=:a

call     count       cpu    elapsed       disk      query    current        rows
——- ——  ——– ———- ———- ———- ———-  ———-
Parse        1      0.01       0.00          0          0          0           0
Execute      1      0.00       0.00          0          0          0           0
Fetch        2      0.00       0.00          0          6          0           1
——- ——  ——– ———- ———- ———- ———-  ———-
total        4      0.01       0.01          0          6          0           1

Misses in library cache during parse: 1
Optimizer mode: ALL_ROWS
Parsing user id: SYS

Rows     Row Source Operation
——-  —————————————————
1  TABLE ACCESS BY INDEX ROWID TEST (cr=6 pr=0 pw=0 time=43 us)
1   INDEX RANGE SCAN IND_T2 (cr=5 pr=0 pw=0 time=32 us)(object id 51539)

可以看到这里实际的执行计划时 INDEX RAGNE SCAN 而非TABLE ACCESS FULL,这是由于优化器(optimizer)实际使用了绑定变量窥视的手段,而autotrace工具似乎不具备这种特性,故其展现的执行计划出现严重偏差。

一般情况下autotrace的结果仍是准确的,但也仅是一般情况,这需要我们凭借直觉去分辨。

EVENT: 10231 "skip corrupted blocks on _table_scans_"

Event: 10231
Text:  skip corrupted blocks on _table_scans_
-------------------------------------------------------------------------------
Cause:
Action: Corrupt blocks are skipped in table scans, and listed in trace files.

Explanation:
        This is NOT an error but is a special EVENT code.
        It should *NOT* be used unless explicitly requested by ST support.

   8.1 onwards:
   ~~~~~~~~~~~~
        The "7.2 onwards" notes below still apply but in Oracle8i
        there is a PL/SQL <Package:DBMS_REPAIR> which can be used
        to check corrupt blocks.  See <DocIndex:DBMS_REPAIR>.

        It is possible to simulate 10231 on a table using
        DBMS_REPAIR.SKIP_CORRUPT_BLOCKS('schema','table').
        The SKIP_CORRUPT column of DBA_TABLES shows tables which
        have been marked to allow skipping of corrupt blocks.

   7.2 onwards:
   ~~~~~~~~~~~~
	Event 10231 causes SOFTWARE CORRUPT or MEDIA corrupt blocks
	to be skipped on FULL TABLE SCANS only.  (E.g: on export)
	Software corrupt blocks are defined below.  Media corrupt
        blocks are Oracle blocks where the header field information
        is not what was expected.  These can now be skipped with
	the 10231 event.

   Before 7.2:
   ~~~~~~~~~~~
        Event 10231 causes SOFTWARE CORRUPT blocks to be skipped on
        FULL TABLE SCANS only.  (E.g: on export).

        A 'software corrupt' block is a block that has a SEQ number of ZERO.
        This raises an ORA-1578 error.

	NB: Blocks may be internally corrupt and still cause problems or
	    raise ORA-1578.  If a block is physically corrupt and the SEQ
	    is not set to ZERO, you cannot use 10231 to skip it.  You have
	    to try to scan around the block instead.

	    To manually corrupt a block and cause it to be skipped you
	    must: Set SEQ to ZERO.
		  Set the INCSEQ at the end of the block to match.


	You can set event numbers 10210, 10211, and 10212 to check blocks
        at the data level and mark them software corrupt if they are found
        to be corrupt.  You CANNOT use these events to mark a physically
        corrupt block as software corrupt because the block never reaches
        the data layer.

        When a block is skipped, any data in the block is totally ignored.


Usage:  Event="10231 trace name context forever, level 10".
	This should be removed from the instance parameters immediately after
	it has been used.

        Alternatively it can be set at session level:
        alter session set events '10231 trace name context forever, level 10'

@Articles:
@       Customer FAX Explaining How to Use Event 10231	 Note 33405.1
@       Data, Index & Cluster Block  <Event:10210><Event:10211><Event:10212>
@	Skip Blocks on Index Range Scan			 <Event:10233>
@	Physical Oracle Data Block Layout		 Note 33242.1