How to utilize all CPU's ????

Hi Experts,
I'm running a 10g database on a Quad Core server. But when I execute procedures in the database it utilizes only one CPU leaving other CPU's idle.
Is there anyway that I can configure Oracle 10g Database to utilize all CPU's. ???

One session can only run one SQL statement at a time. So, the SQL would be executed serially, and utilize only one CPU, unless the SQL statement utilizes parallel execution and you have enterprise edition.
Generally, multiple CPUs are utilized within Oracle in one of two ways:
1.) You have dozens or hundreds of users, and though each one is executing serially, there are multiple users running concurrently, and each one will run on one of your CPUs.
2.) You have a data warehouse or DSS type system, with very few users and almost no concurrency. In this case, you'll want to have Enterprise Edition, and you'll want to enable Parallel execution. In this case, a query (or DML) comes along, and Oracle's cost based optimizer will consider the specified degree of parallelism, along with the cpu_count, and some other factors, and determine how many parallel slaves to utilize, and each parallel slave will run on a different CPU.
Hope that helps,
-Mark

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How to find the CPU utilization from the portal front end

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Detail Information about all CPU IN Linux x86_64

Hi all,
How to get Detail Information about all CPU in Linux x86_64. Like number of cpu, utilisation, idle

user13549752 wrote:
Hi all,
How to get Detail Information about all CPU in Linux x86_64. Like number of cpu, utilisation, idle$ less /proc/cpuinfo ---cpu information
$ grep processor /proc/cpuinfo
$top ---command will show cpu utilization,idle time
# mpstat
mpstat -P ALL
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refer:-
http://www.cyberciti.biz/tips/how-do-i-find-out-linux-cpu-utilization.html
for dba related linux commands refer,
http://gavinsoorma.com/unix-for-the-dba/
http://www.oracle-base.com/articles/misc/UNIXForDBAs.php
http://blogs.oracle.com/myoraclediary/entry/useful_unix_commands_for_dbas

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Hi All,
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Ben Rayner
I am currently active on.. MainStream Preppers
Rayner's Ridge is under construction
Solved!
Go to Solution.

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How to utilize index in selection statement

hi
how to utilize index in selection statement and how is it reduces performance whether another alternative is there to reduce performance .
thanks

Hi Suresh,
For each SQL statement, the database optimizer determines the strategy for accessing data records. Access can be with database indexes (index access), or without database indexes (full table scan).The cost-based database optimizer determines the access strategy on the basis of:
*Conditions in the WHERE clause of the SQL statement
*Database indexes of the table(s) affected
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Inroduction to Database Indexes
When you create a database table in the ABAP Dictionary, you must specify the combination of fields that enable an entry within the table to be clearly identified. Position these fields at the top of the table field list, and define them as key fields.
After activating the table, an index is created (for Oracle, Informix, DB2) that consists of all key fields. This index is called a primary index. The primary index is unique by definition. As well as the primary index, you can define one or more secondary indexes for a table in the ABAP Dictionary, and create them on the database. Secondary indexes can be unique or non-unique. Index records and table records are organized in data blocks.
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A data block shows the level of detail in which data is written to the hard disk or read from the hard disk. Data blocks may contain multiple data records, but a single data record may be spread across several data blocks.
Data blocks can be index blocks or table blocks. The database organizes the index blocks in the form of a multi-level B* tree. There is a single index block at root level, which contains pointers to the index blocks at branch level. The branch blocks contain either some of the index fields and pointers to index blocks at leaf level, or all index fields and a pointer to the table records organized in table blocks. The index blocks at leaf level contain all index fields and pointers to the table records from the table blocks.
The pointer that identifies one or more table records has a specific name. It is called, for example, ROWID for Oracle databases. The ROWID consists of the number of the database file, the number of the table block, and the row number within the table block.
The index records are stored in the index tree and sorted according to index field. This enables accelerated access using the index. The table records in the table blocks are not sorted.
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Index Unique Scan
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For the index unique scan access strategy, the database usually needs to read a maximum of four data blocks (three index blocks and one table block) to access the table record.
select * from VVBAK here vbeln = '00123' ......end select.
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Index Range Scan
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In the example above, not all fields in the primary index of the table VVBAP (key fields MANDT, VBELN, POSNR) are specified with '=' in the WHERE clause. The database optimizer checks a range of index records and deduces the table records from these index records. This access strategy is called an index range scan.
To execute the SQL statement, the DBMS first reads a root block (1) and a branch block (2). The branch block contains pointers to two leaf blocks (3 and 4). In order to find the index records that fulfill the criteria in the WHERE clause of the SQL statement, the DBMS searches through these leaf blocks sequentially. The index records found point to the table records within the table blocks (5 and 6).
If index records from different index blocks point to the same table block, this table block must be read more than once. In the example above, an index record from index block 3 and an index record from index block 4 point to table records in table block 5. This table block must therefore be read twice. In total, seven data blocks (four index blocks and three table blocks) are read.
The index search string is determined by the concatenation of the WHERE conditions for the fields contained in the index. To ensure that as few index blocks as possible are checked, the index search string should be specified starting from the left, without placeholders ('_' or %). Because the index is stored and sorted according to the index fields, a connected range of index records can be checked, and fewer index blocks need to be read.
All index blocks and table blocks read during an index range scan are stored in the data buffer at the top of a LRU (least recently used) list. This can lead to many other data blocks being forced out of the data buffer. Consequently, more physical read accesses become necessary when other SQL statements are executed
DB Indexex :Concatenation
In the concatenation access strategy, one index is reused. Therefore, various index search strings also exist. An index unique scan or an index range scan can be performed for the various index search strings. Duplicate entries in the results set are filtered out when the search results are concatenated.
Select * from vvbap where vbeln in ('00123', '00133', '00134').
endselect.
In the SQL statement above, a WHERE condition with an IN operation is specified over field VBELN. The fields MANDT and VBELN are shown on the left of the primary index. Various index search strings are created, and an index range scan is performed over the primary index for each index search string. Finally, the result is concatenated.
Full Table Scan
select * from vvbap where matnr = '00015'.
endselect
If the database optimizer selects the full table scan access strategy, the table is read sequentially. Index blocks do not need to be read.
For a full table scan, the read table blocks are added to the end of an LRU list. Therefore, no data blocks are forced out of the data buffer. As a result, in order to process a full table scan, comparatively little memory space is required within the data buffer.
The full table scan access strategy is very effective if a large part of a table (for example, 5% of all table records) needs to be read. In the example above, a full table scan is more efficient than access using the primary index.
In Brief
Index unique scan: The index selected is unique (primary index or unique secondary index) and fully specified. One or no table record is returned. This type of access is very effective, because a maximum of four data blocks needs to be read.
Index range scan: The index selected is unique or non-unique. For a non-unique index, this means that not all index fields are specified in the WHERE clause. A range of the index is read and checked. An index range scan may not be as effective as a full table scan. The table records returned can range from none to all.
Full table scan: The whole table is read sequentially. Each table block is read once. Since no index is used, no index blocks are read. The table records returned can range from none to all.
Concatenation: An index is used more than once. Various areas of the index are read and checked. To ensure that the application receives each table record only once, the search results are concatenated to eliminate duplicate entries. The table records returned can range from none to all.
Regards,
Balaji Reddy G
***Rewards if answers are helpful

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x

SQL Developer occasionally hogs all CPU resources

Client OS: Windows XP Professional
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I encountered a few instances where SQL Developer hogs all CPU resources on my Windows XP notebook.
I usually have to kill the SQL Developer process.
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Who can I send the information to ?

How do I collect a dump or some kind of debug
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Utilization 100% CPU

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How to get the CPU time of a query?

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If i am not wrong, Jonathan Lewis blogged about the changed behaviour.
Here is short test:
SQL> CREATE OR REPLACE FUNCTION Cpu RETURN NUMBER IS
2    Retval NUMBER;
3 BEGIN
4    SELECT m.VALUE
5    INTO      Retval
6    FROM      V$statname s, V$mystat m
7    WHERE s.Statistic# = m.Statistic#
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10 END;
11 /
Function created.
cat cpu_test.sql
DECLARE
TYPE t IS TABLE OF NUMBER;
tt t;
BEGIN
dbms_output.put_line(cpu());
SELECT COUNT(*) over(PARTITION BY owner) BULK COLLECT INTO tt FROM all_objects;
dbms_output.put_line(cpu());
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dbms_output.put_line(cpu());
SELECT COUNT(*) over(PARTITION BY owner) BULK COLLECT INTO tt FROM dba_objects;
dbms_output.put_line(cpu());
END;
SQL> select * from v$version
2 /
BANNER
Oracle9i Enterprise Edition Release 9.2.0.6.0 - Production
PL/SQL Release 9.2.0.6.0 - Production
CORE    9.2.0.6.0       Production
TNS for Linux: Version 9.2.0.6.0 - Production
NLSRTL Version 9.2.0.6.0 - Production
SQL> @cpu_test
0
0
0
0
PL/SQL procedure successfully completed.
SQL> @cpu_test
106
106
106
106
PL/SQL procedure successfully completed.
SQL> select * from v$version
2 /
BANNER
Oracle Database 10g Enterprise Edition Release 10.2.0.3.0 - Prod
PL/SQL Release 10.2.0.3.0 - Production
CORE    10.2.0.3.0      Production
TNS for Linux: Version 10.2.0.3.0 - Production
NLSRTL Version 10.2.0.3.0 - Production
SQL> set serveroutput on
SQL> @cpu_test
1
129
130
145
PL/SQL procedure successfully completed.
SQL> @cpu_test
145
273
275
290
PL/SQL procedure successfully completed.Best regards
Maxim

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