How to stop Index Optimization in Ultraseach?

Portal Version: 9.0.2.2.14
RDBMS Versjion: 9.0.1.3
OS/Vers. Where Portal is Installed:: SPARC Solaris 8 64bit
How to stop process of optimization of indexes in Ultraseach?

First, back up all data immediately, as your boot drive may be failing.
If you have more than ten or so files or folders on your Desktop, move them, temporarily at least, somewhere else in your home folder.
If iCloud is enabled, disable it.
Disconnect all wired peripherals except keyboard, mouse, and monitor, if applicable. Launch the usual set of applications you use when you notice the problem.
Step 1
Launch the Activity Monitor application in any of the following ways:
☞ Enter the first few letters of its name into a Spotlight search. Select it in the results (it should be at the top.)
☞ In the Finder, select Go ▹ Utilities from the menu bar, or press the key combination shift-command-U. The application is in the folder that opens.
☞ If you’re running Mac OS X 10.7 or later, open LaunchPad. Click Utilities, then Activity Monitor in the page that opens.
Select the CPU tab.
Select All Processes from the menu in the toolbar, if not already selected.
Click the heading of the % CPU column in the process table to sort the entries by CPU usage. You may have to click it twice to get the highest value at the top. What is it, and what is the process? Also post the values for % User, % System, and % Idle at the bottom of the window.
Select the System Memory tab. What values are shown in the bottom part of the window for Page outs and Swap used?
Step 2
You must be logged in as an administrator to carry out this step.
Launch the Console application in the same way as above. Make sure the title of the Console window is All Messages. If it isn't, select All Messages from the SYSTEM LOG QUERIES menu on the left.
Post the 50 or so most recent messages in the log — the text, please, not a screenshot.
Important: Some personal information, such as your name, may appear in the log. Edit it out before posting.

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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
*Selectivity of the table fields contained in the database indexes
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*The table and index statistics supply information about the selectivity of table fields, the selectivity of combinations of table fields, and table size. Before a database access is performed, the database optimizer cannot calculate the exact cost of a database access. It uses the information described above to estimate the cost of the database access.The optimization calculation is the amount by which the data blocks to be read (logical read accesses) can be reduced. Data blocks show the level of detail in which data is written to the hard disk or read from the hard disk.
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.
If you dispatch an SQL statement from an ABAP program to the database, the program searches for the data records requested either in the database table itself (full table scan) or by using an index (index unique scan or index range scan). If all fields requested are found in the index using an index scan, the table records do not need to be accessed.
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.
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An index should not consist of too many fields. Having a few very selective fields increases the chance of reusability, and reduces the chance of the database optimizer selecting an unsuitable access path.
Index Unique Scan
If, for all fields in a unique index (primary index or unique secondary index), WHERE conditions are specified with '=' in the WHERE clause, the database optimizer selects the access strategy index unique scan.
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select * from VVBAK here vbeln = '00123' ......end select.
In the SELECT statement shown above, the table VVBAK is accessed. The fields MANDT and VBELN form the primary key, and are specified with '=' in the WHERE clause. The database optimizer therefore selects the index unique scan access strategy, and only needs to read four data blocks to find the table record requested.
Index Range Scan
select * from VVBAP here vbeln = '00123' ......end select.
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
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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
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You can search a table for data records that satisfy certain search criteria faster using an index.
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user10737570 wrote:
Hi,
My DB version 10.2.0.3.0 running on IBM-AIX....Thanks for it
As is said earlier my DB consist of 50k tables.
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