Looking for book about performance tuning 11g database

Hi,
I am looking for books about performance tuning oracle 11g. The documents from OTN 2 days 11g performance tuning and performance tuning guide are not really study material.
Has someone idea?
greeting,
Max

Hi,
http://astore.amazon.com/oraclebooks-20/detail/1590599683 {Part IV Database Tuning }
Greetings,
Sim

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Message was edited by:
dongzky
Message was edited by:
dongzky

Just a teeny tweek
DECLARE
   l_dummy   VARCHAR2 (4000);
BEGIN
   FOR rec IN (SELECT table_name
                 FROM all_tables)
   LOOP
      FOR rec2 IN (SELECT column_name
                     FROM user_tab_cols
                    WHERE table_name = rec.table_name)
      LOOP
         BEGIN
            EXECUTE IMMEDIATE    'select 1 from '
                              || rec.table_name
                        || ' where to_char('
|| rec2.column_name
|| ') = ''CAS'' and rownum = 1'
                         INTO l_dummy;
            DBMS_OUTPUT.PUT_LINE (rec.table_name || ' ' || rec2.column_name);
         EXCEPTION
            WHEN NO_DATA_FOUND
            THEN
               NULL;
         END;
      END LOOP;
   END LOOP;
END;

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975148 wrote:
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User created.
SQL> create user test2 identified by test1;
User created.
SQL> grant connect, resource to test1,test2;
Grant succeeded.
SQL> create table test1.tab1 as select * from v$session;
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Conencted.
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USER is "TEST2"
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2 select sid,serial#,status,username from test1.tab1 where username<> '';
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SQL>
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GRANTEE                        GRANTED_ROLE                   ADM DEF
TEST1                          CONNECT                        NO YES
TEST1                          RESOURCE                       NO YES
TEST2                          CONNECT                        NO YES
TEST2                          RESOURCE                       NO YES
SQL>
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GRANTEE    OWNER      TABLE_NAME           PRIVILEGE
TEST2      TEST1      TAB1                 SELECT
SQL>
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GRANTEE    PRIVILEGE                      ADM
TEST1      UNLIMITED TABLESPACE           NO
TEST2      UNLIMITED TABLESPACE           NO
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Hi,
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ORACLE OBJECTS FOR OLE(OO4O) PERFORMANCE TUNING

제품 : ORACLE SERVER
작성날짜 : 1997-10-10
ODBC의 경우는 Block단위로 data를 Query하는데 비해 OLE의 경우는 한번에 전체
의 자료를 가져다가 Temporary storage space에 넣게 됩니다.
그래서 튜닝을 위해서는
Windows 3.1의 경우는 c:/windows/oraole.ini
WIN95의 경우는 HKEY_LOCAL_MACHINE\SOFTWARE\ORACLE\OO4O
parameters를 수정해야 합니다.
만일 위의 File이 없는 경우는 모든 변수가 Default로 설정된 경우이므로 인스톨
된 Help를 자세히 읽어보고 적용을 해야합니다.
FetchLimit이 가장 큰 영향을 끼치는 파라미터로, 일반적으로 이 값이 클수록
속도가 빨라지게 됩니다. 다음은 관련 자료입니다.
Tuning and Customization
A number of working parameters of Oracle Objects for OLE can be
customized. Access to these parameters is provided through the Oracle
initialization file, by default named ORAOLE.INI.
Each entry currently available in that file is described below. The location
of the ORAOLE.INI file is specified by the ORAOLE environment variable.
Note that this variable should specify a full pathname to the Oracle
initialization file, which is not necessarily named ORAOLE.INI. If this
environment variable is not set, or does not specify a valid file entry, then
Oracle Objects for OLE looks for a file named ORAOLE.INI in the Windows
directory. If this file does not exist, all of the default values
listed will apply.
You can customize the following sections of the ORAOLE.INI file:
[Cache Parameters]
A cache consisting of temporary data files is created to manage amounts
of data too large to be maintained exclusively in memory. This cache
is needed primarily for dynaset objects, where, for example, a single
LONG RAW column can contain more data than exists in physical
(and virtual) emory.
The default values have been chosen for simple test cases, running on a machine
with limited Windows resources. Tuning with respect to your machine and
applications is recommended.
Note that the values specified below are for a single cache, and that a separate
cache is allocated for each object that requires one. For example, if
your application contains three dynaset objects, three independent data
caches are constructed, each using resources as described below.
SliceSize = 256 (default)
This entry specifies the minimum number of bytes used to store a piece
of data in the cache. Items smaller than this value are allocated the
full SliceSize bytes for storage; items larger than this value are
allocated an integral multiple of this space value. An example of an
item to be stored is a field value of a dynaset.
PerBlock = 16 (default)
This entry specifies the number of Slices (described in the preceding
entry) that are stored in a single block. A block is the minimum unit
of memory or disk allocation used within the cache. Blocks are read
from and written to the disk cache temporary file in their entirety. Assuming a SliceSize of 256 and a PerBlock value of 16, then the block
size is 256 * 16 = 4096 bytes.
CacheBlocks = 20 (default)
This entry specifies the maximum number of blocks held in memory at any
one time. As data is added to the cache, the number of used blocks
grows until the value of CacheBlocks is reached. Previous blocks are
swapped from memory to the cache temporary disk file to make room for
more blocks. The blocks are swapped based upon recent usage. The total
amount of memory used by the cache is calculated as the product of
(SliceSize * PerBlock * CacheBlocks).
Recommended Values: You may need to experiment to find optimal cache parameter
values for your applications and machine environment. Here are some guidelines
to keep in mind when selecting different values:
The larger the (SliceSize * PerBlock) value, the more disk I/O is
required for swapping individual blocks. The smaller the (SliceSize * PerBlock) value, the
more likely it is that blocks will need to be swapped to or from disk.
The larger the CacheBlocks value, the more memory is required, but the
less likely it is that Swapping will be required.
A reasonable experiment for determining optimal performance might
proceed as follows:
Keep the SliceSize >= 128 and vary PerBlock to give a range of block
sizes from 1K through 8K.
Vary the CacheBlocks value based upon available memory. Set it high
enough to avoid disk I/O, but not so high that Windows begins swapping
memory to disk.
Gradually decrease the CacheBlocks value until performance degrades or
you are satisfied with the memory usage. If performance drops off,
increase the CacheBlocks value once again as needed to restore
performance.
[Fetch Parameters]
FetchLimit = 20 (default)
This entry specifies the number of elements of the array into which data
is fetched from Oracle. If you change this value, all fetched values
are immediately placed into the cache, and all data is retrieved from
the cache. Therefore, you should create cache parameters such that all
of the data in the fetch arrays can fit into cache memory. Otherwise,
inefficiencies may result.
Increasing the FetchLimit value reduces the number of fetches (calls
to the database) calls and possibly the amount of network traffic.
However, with each fetch, more rows must be processed before user
operations can be performed. Increasing the FetchLimit increases
memory requirements as well.
FetchSize = 4096 (default)
This entry specifies the size, in bytes, of the buffer (string) used for
retrieved data. This buffer is used whenever a long or long raw column
is initially retrieved.
[General]
TempFileDirectory = [Path]
This entry provides one method for specifying disk drive and directory
location for the temporary cache files. The files are created in the
first legal directory path given by:
1.The drive and directory specified by the TMP environment variable
(this method takes precedence over all others);
2.The drive and directory specified by this entry (TempFileDirectory)
in the [general] section of the ORAOLE.INI file;
3.The drive and directory specified by the TEMP environment variable; or
4.The current working drive and directory.
HelpFile = [Path and File Name]
This entry specifies the full path (drive/path/filename) of the Oracle Objects
for OLE help file as needed by the Oracle Data Control. If this entry cannot
be located, the file ORACLEO.HLP is assumed to be in the directory where
ORADC.VBX is located
(normally \WINDOWS\SYSTEM).

제품 : ORACLE SERVER
작성날짜 : 1997-10-10
ODBC의 경우는 Block단위로 data를 Query하는데 비해 OLE의 경우는 한번에 전체
의 자료를 가져다가 Temporary storage space에 넣게 됩니다.
그래서 튜닝을 위해서는
Windows 3.1의 경우는 c:/windows/oraole.ini
WIN95의 경우는 HKEY_LOCAL_MACHINE\SOFTWARE\ORACLE\OO4O
parameters를 수정해야 합니다.
만일 위의 File이 없는 경우는 모든 변수가 Default로 설정된 경우이므로 인스톨
된 Help를 자세히 읽어보고 적용을 해야합니다.
FetchLimit이 가장 큰 영향을 끼치는 파라미터로, 일반적으로 이 값이 클수록
속도가 빨라지게 됩니다. 다음은 관련 자료입니다.
Tuning and Customization
A number of working parameters of Oracle Objects for OLE can be
customized. Access to these parameters is provided through the Oracle
initialization file, by default named ORAOLE.INI.
Each entry currently available in that file is described below. The location
of the ORAOLE.INI file is specified by the ORAOLE environment variable.
Note that this variable should specify a full pathname to the Oracle
initialization file, which is not necessarily named ORAOLE.INI. If this
environment variable is not set, or does not specify a valid file entry, then
Oracle Objects for OLE looks for a file named ORAOLE.INI in the Windows
directory. If this file does not exist, all of the default values
listed will apply.
You can customize the following sections of the ORAOLE.INI file:
[Cache Parameters]
A cache consisting of temporary data files is created to manage amounts
of data too large to be maintained exclusively in memory. This cache
is needed primarily for dynaset objects, where, for example, a single
LONG RAW column can contain more data than exists in physical
(and virtual) emory.
The default values have been chosen for simple test cases, running on a machine
with limited Windows resources. Tuning with respect to your machine and
applications is recommended.
Note that the values specified below are for a single cache, and that a separate
cache is allocated for each object that requires one. For example, if
your application contains three dynaset objects, three independent data
caches are constructed, each using resources as described below.
SliceSize = 256 (default)
This entry specifies the minimum number of bytes used to store a piece
of data in the cache. Items smaller than this value are allocated the
full SliceSize bytes for storage; items larger than this value are
allocated an integral multiple of this space value. An example of an
item to be stored is a field value of a dynaset.
PerBlock = 16 (default)
This entry specifies the number of Slices (described in the preceding
entry) that are stored in a single block. A block is the minimum unit
of memory or disk allocation used within the cache. Blocks are read
from and written to the disk cache temporary file in their entirety. Assuming a SliceSize of 256 and a PerBlock value of 16, then the block
size is 256 * 16 = 4096 bytes.
CacheBlocks = 20 (default)
This entry specifies the maximum number of blocks held in memory at any
one time. As data is added to the cache, the number of used blocks
grows until the value of CacheBlocks is reached. Previous blocks are
swapped from memory to the cache temporary disk file to make room for
more blocks. The blocks are swapped based upon recent usage. The total
amount of memory used by the cache is calculated as the product of
(SliceSize * PerBlock * CacheBlocks).
Recommended Values: You may need to experiment to find optimal cache parameter
values for your applications and machine environment. Here are some guidelines
to keep in mind when selecting different values:
The larger the (SliceSize * PerBlock) value, the more disk I/O is
required for swapping individual blocks. The smaller the (SliceSize * PerBlock) value, the
more likely it is that blocks will need to be swapped to or from disk.
The larger the CacheBlocks value, the more memory is required, but the
less likely it is that Swapping will be required.
A reasonable experiment for determining optimal performance might
proceed as follows:
Keep the SliceSize >= 128 and vary PerBlock to give a range of block
sizes from 1K through 8K.
Vary the CacheBlocks value based upon available memory. Set it high
enough to avoid disk I/O, but not so high that Windows begins swapping
memory to disk.
Gradually decrease the CacheBlocks value until performance degrades or
you are satisfied with the memory usage. If performance drops off,
increase the CacheBlocks value once again as needed to restore
performance.
[Fetch Parameters]
FetchLimit = 20 (default)
This entry specifies the number of elements of the array into which data
is fetched from Oracle. If you change this value, all fetched values
are immediately placed into the cache, and all data is retrieved from
the cache. Therefore, you should create cache parameters such that all
of the data in the fetch arrays can fit into cache memory. Otherwise,
inefficiencies may result.
Increasing the FetchLimit value reduces the number of fetches (calls
to the database) calls and possibly the amount of network traffic.
However, with each fetch, more rows must be processed before user
operations can be performed. Increasing the FetchLimit increases
memory requirements as well.
FetchSize = 4096 (default)
This entry specifies the size, in bytes, of the buffer (string) used for
retrieved data. This buffer is used whenever a long or long raw column
is initially retrieved.
[General]
TempFileDirectory = [Path]
This entry provides one method for specifying disk drive and directory
location for the temporary cache files. The files are created in the
first legal directory path given by:
1.The drive and directory specified by the TMP environment variable
(this method takes precedence over all others);
2.The drive and directory specified by this entry (TempFileDirectory)
in the [general] section of the ORAOLE.INI file;
3.The drive and directory specified by the TEMP environment variable; or
4.The current working drive and directory.
HelpFile = [Path and File Name]
This entry specifies the full path (drive/path/filename) of the Oracle Objects
for OLE help file as needed by the Oracle Data Control. If this entry cannot
be located, the file ORACLEO.HLP is assumed to be in the directory where
ORADC.VBX is located
(normally \WINDOWS\SYSTEM).

Looking for book on Oracle Business Intelligence (formally Hyperion/Brio)

Does anyone know of a good book about the newest versions of the Oracle Business Intelligence tools? I don't see much at Amazon when I search for Oracle Business Intelligence. I am looking for Oracles direction with the product and information about the 11G web based versions.
Any information would be appreciated.
Thanks.

Book was not released but, you can learn all about oracle BIEE meta data development, answers, dashboards..
Meta data developement guide(also called server administration guide) which covers building physical, business and presentation layer development, frargmentation and cache setting, variables.
http://download.oracle.com/docs/cd/E10415_01/doc/bi.1013/b31770.pdf
About answers and dashbaords..
http://download.oracle.com/docs/cd/E10415_01/doc/bi.1013/b31767.pdf
but these books explains only how do it and what is what. No basic examples like other tech books.
For the example development/project follow the link( this includes advanced stuff also)
http://www.oracle.com/technology/obe/obe_bi/bi_ee_1013/index.html
Hope this helps until the book is released, But strong feeling book may not cover this much,but we can get some good examples on every case with definitions.
- Madan

About Performance Tuning in java

What good ways to improve performance of code that uses lot of strings?

Use appropriate data structures and algorithms.
[url http://java.sun.com/developer/technicalArticles/Interviews/devinsight_1/]Write dumb code.
Don't worry about microoptimizations, and don't look for "clever tricks."
Don't assume something will be "slow" and then write fugly code to "fix" it. Write clean, simple code using standard idioms, test it, and if it doesn't meet your performance requirements, profile it to find where the bottleneck is, and once you find and fix that, test and profile again to see if the fix actually made a significant improvement. If it didn't, and the new code is not at least as clean as the old, then revert it back to the previous code.
All of the above advice applies for all Java coding, not just String-heavy cases.
The only semi-major String-specific performance/memory techniques that come up are as follows. And they don't really matter all that often in the real world:
1. When building up a String in a loop, if the pieces are large or if there are many pieces, use StringBuilder or StringBuffer's append() method, not direct String concatenation with plus-equal.
// do this
String s;
StringBuilder sb = new StringBuilder();
while (...) {
sb.append(something);
s = sb.toString();
// not this
String s = "";
while (...) {
s += something;
// or
s = s + something;The reason for this is that with the second approach, every time through the loop we create a new String object and copy all the characters over from the previous one. The first approach just keeps adding characters to the end of the existing StringBuilder.
However, this really only makes a practical difference if the pieces are very large, or if there are a lot of them.
Also note that String s = "a" + b + "c" + d; is fine, because the compiler turns those into append() calls anyway.
2. Use new String() when taking a small substring of a large String, if the small one will be kept around much longer than the larger original.
// do this
String s1 = a_very_large_string;
String s2 = new String(s1.substring(5, 7));
// not this
String s1 = a_very_large_string;
String s2 = s1.substring(5, 7);The reason for this is that substring uses the same backing array as the original. If we're done using the large String, that String object itself may become eligible for GC, but the large backing array will be kept around as long as the smaller String is alive. In this case, we're wasting most of its space for just a few characters. However, when we do new String(), that creates a new String object with its own backing array of just the characters that are part of that String, so once the original goes away, its large backing array can go with it.
If the strings are of about the same scale, or if they're both small or even only "sort of large," this will not be an issue. Also, if both of the Strings' lifetimes end at about the same time, it won't be an issue.
Again, though, don't overdo it. Pay close attention to the cases I described where these techniques don't matter.
Edited by: jverd on Oct 6, 2010 10:08 PM
Edited by: jverd on Oct 6, 2010 10:10 PM
Edited by: jverd on Oct 6, 2010 10:21 PM

Performance tuning of database using DBACOCKPIT

Hiii Experts,
I have installed new server with OS:- Windows server 2012 and DB:- Sybase ASE 15.07.
Now I want to perform performance tuning of SAP and Database, so for that I have configured
DBACOCKPIT but I could not change the parameter values so could you tell me how to change
parameter values and how to use DBACOCKPIT for performance tuning.
Thank you,
Regards,
Omkar M.

DBA_Guide wrote:
Reports running slow, not sure if database is using Start transformation for the Datawarehouse Database.
Used hint */+ STAR_TRANSFORMATION */, still no performance increase.
Checked database parameter -
SQL> show parameter star;
NAME                                 TYPE        VALUE
dg_broker_start                      boolean     FALSE
fast_start_io_target                 integer     0
fast_start_mttr_target               integer     0
fast_start_parallel_rollback         string      LOW
log_archive_start                    boolean     FALSE
star_transformation_enabled          string      TRUE
Any Help is appreciated.
Thanks!
If star transformation was not the cause of the slowness, of course it won't make it faster.
I bet you any number of other different hints will result in no change in performance.
This is like replacing gas tank on your car with a LARGER tank & filling it with more gasoline to make the car go faster.
The amount of gasoline is not a factor that limits the speed of your car.

Looking for book about performance tuning 11g database

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