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involved in traversing from an index root block to a leaf block. The first is HEIGHT, which is the number of blocks required to go from the root block to the leaf block. The HEIGHT value can be found from the INDEX_ STATS view after the index has been analyzed using the ANALYZE INDEX <name> VALIDATE STRUCTURE command. The other is BLEVEL, which is the number of branch levels and differs from HEIGHT by one (it does not count the leaf blocks). The value of BLEVEL is found in the normal dictionary tables such as USER_INDEXES after statistics have been gathered.

The LICENSE_MAX_SESSIONS parameter sets the maximum number of concurrent sessions you can have at any given time. Once your database reaches this limit, new sessions can t connect, getting a warning about the database reaching its maximum user capacity. If you set a zero value for this parameter, the database doesn t enforce session licensing. Example: LICENSE_MAX_SESSIONS=250 Default value: 0 Parameter type: Dynamic. You can issue the ALTER SYSTEM command to change the value of this parameter.

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I do use nested tables heavily as a programming construct and in views. This is where I believe they are in their element. As a storage mechanism, I much prefer creating the parent/child tables myself. After creating the parent/child tables, we can, in fact, create a view that makes it appear as if we had a real nested table. That is, we can achieve all of the advantages of the nested table construct without incurring the overhead. If you do use a nested table as a storage mechanism, be sure to make it an IOT to avoid the overhead of an index on the NESTED_TABLE_ID and the nested table itself. See the previous section on IOTs for

You must set either the LICENSE_MAX_SESSIONS parameter or the LICENSE_MAX_USERS parameter, but not both. That is, you must set one of the parameters to zero and the other to a positive number.

For example, say we have a 10,000,000-row table with a primary key index on a number column: big_table@ORA9IR2> select index_name, blevel, num_rows 2 from user_indexes 3 where table_name = 'BIG_TABLE'; INDEX_NAME BLEVEL NUM_ROWS ------------------------------ ---------- ---------BIG_TABLE_PK 2 10441513 The BLEVEL is 2, meaning the HEIGHT is 3, and it will take two I/Os to find a leaf (resulting in a third I/O). So we would expect three I/Os to retrieve any given key value from this index: big_table@ORA9IR2> select id from big_table where id = 42; Execution Plan ---------------------------------------------------------0 SELECT STATEMENT Optimizer=CHOOSE (Cost=2 Card=1 Bytes=6) 1 0 INDEX (UNIQUE SCAN) OF 'BIG_TABLE_PK' (UNIQUE) (Cost=2 Card=1 Bytes=6) Statistics ---------------------------------------------------------... 3 consistent gets ... 1 rows processed

advice on setting them up with overflow segments and other options. If you do not use an IOT, make sure to create an index on the NESTED_TABLE_ID column in the nested table to avoid full scanning it to find the child rows.

The LICENSE_MAX_USERS parameter specifies the maximum number of users you can create in your database. The value of this parameter can range from zero to the number of user licenses. Example: LICENSE_MAX_USRS=1200 Default value: 0 Parameter type: Dynamic. You can issue the ALTER SYSTEM command to change the value of the parameter.

You can configure several performance-related parameters in your parameter file. In addition, you can set several parameters to change the diagnostic capabilities of the database when you re performing activities such as tracing SQL statements.

Temporary tables are used to hold intermediate resultsets for the duration of either a transaction or a session The data held in a temporary table is only ever visible to the current session no other session will see any other session s data, even if the current session COMMITs the data Multiuser concurrency is not an issue with regard to temporary tables either, as one session can never block another session by using a temporary table Even if we lock the temporary table, it will not prevent other sessions from using their temporary table As we observed in 9, temporary tables generate significantly less redo than regular tables would However, since they must generate undo information for the data they contain, they will generate some amount of redo UPDATEs and DELETEs will generate the largest amount; INSERTs and SELECTs the least amount.

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