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because everyone has access to statspack, everyone. It might have to be installed by your DBA, but every Oracle customer has access to it. I want to present results that are reproducible by everyone.

The following discussion of table operations deals with the normal or regular heap-organized Oracle tables, whose rows aren t stored in any particular order into the table. Most of the table operations discussed are common to all types of Oracle tables, but with some syntax modifications or limitations.

Since only one session at a time can hold a block in current mode, Oracle needs to limit the time we have it in that mode After this trigger fired, Oracle retrieved the block in current mode and noticed that the column used to find this row, X, had been modified Since X was used to locate this record and X was modified, the database decided to restart our query Notice that the update of X from 1 to 2 did not put this row out of scope; we ll still be updating it with this UPDATE statement Rather, it is the fact that X was used to locate the row, and the consistent read value of X (1 in this case) differs from the current mode read of X (2).

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The Oracle database stores each row of a table as one or more row pieces. If a table row is longer than the row piece, the database may store the row using multiple row pieces, by chaining the row across the multiple blocks. Of course, if the table row is small, a data block can contain multiple table rows. The database uses the ROWIDs of the row pieces to chain the pieces together. Each of the row pieces contains a row header and the data for all or part of a row s columns.

These tests were performed on a dual-CPU machine with hyperthreading enabled (making it appear as if there were four CPUs). Given that there were two physical CPUs, you might expect very linear scaling here that is, if one user uses 1 unit of CPU to process her inserts, then you might expect that two users would require 2 units of CPU. You ll discover that this premise, while sounding plausible, may well be inaccurate (just how inaccurate depends on your programming technique, as you ll see). It would be correct if the processing we were performing needed no shared resource, but our process will use a shared resource, namely the shared pool. We need to latch the shared pool to parse SQL statements, and we need to latch the shared pool because it is a shared data structure, and we cannot modify it while others are reading it and we cannot read it while it is being modified.

The DBMS_SPACE package enables you to analyze segment growth and space requirements. You can use a procedure from this package to estimate size requirements for table indexes. If you know the approximate length of a new table s rows and the estimated number of rows, the DBMS_SPACE package will tell you the estimated space you need to create the table, given the storage attributes of the tablespace in which you plan to create it. You can use either the column information of the table or its row size to output the estimated table size. Listing 7-1 shows a simple example. Listing 7-1. Using the DBMS_SPACE Package to Estimate Space Requirements SQL> SET SERVEROUTPUT ON SQL> DECLARE 2 l_used_bytes NUMBER; 3 l_allocated_bytes NUMBER; 4 BEGIN 5 DBMS_SPACE.CREATE_TABLE_COST ( 6 tablespace_name => 'PERSON_D', 7 avg_row_size => 120, 8 row_count => 1000000, 9 pct_free => 10, 10 used_bytes => l_used_bytes, 11 alloc_bytes => l_allocated_bytes); 12 DBMS_OUTPUT.PUT_LINE ('used = ' || l_used_bytes || ' bytes' 13 || 'allocated = ' || l_allocated_bytes || ' bytes'); 14*END; SQL> / used = 138854400 bytes allocated = 167772160 bytes PL/SQL procedure successfully completed. SQL> Note that the DBMS_SPACE package also contains the SPACE_USAGE procedure, which helps you deallocate unused space (actually unused extents) allocated to tables, indexes, and other objects. Here s the syntax for using this procedure to deallocate space allocated to a table: SQL> ALTER TABLE persons DEALLOCATE UNUSED; Table altered. SQL>

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