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Free buffer waits usually show up when the database writer process is slow. The database writer process is simply unable to keep up with the requests to service the buffer cache. The number of dirty buffers in cache waiting to be written to disk is larger than the number of buffers the database writer process can write per batch. Meanwhile, sessions have to wait because they can t get free buffers to write to. First, you need to rule out whether the buffer cache is too small, and check the I/O numbers on the server, especially the write time, using an operating system tool. A check of the database buffer cache and a quick peek at the Database Control s Memory Advisor will show you the pattern of usage of the various memory components and if you re below the optimal buffer cache level, in which case you can increase the size of the buffer cache. Of course, if you re using Automatic Shared Memory Management, the database will size the SGA allocations for you.

Here is that stored procedure: ops$tkyte%ORA11GR2> create or replace procedure do_update( p_n in number ) 2 as 3 pragma autonomous_transaction; 4 l_rec t%rowtype; 5 resource_busy exception; 6 pragma exception_init( resource_busy, -54 ); 7 begin 8 select * 9 into l_rec 10 from t 11 where x = p_n 12 for update NOWAIT; 13 14 do_update( p_n+1 ); 15 commit; 16 exception 17 when resource_busy 18 then 19 dbms_outputput_line( 'locked out trying to select row ' || p_n ); 20 commit; 21 when no_data_found 22 then 23 dbms_outputput_line( 'we finished - no problems' ); 24 commit; 25 end; 26 / Procedure created..

Alter session set isolation_level= serializable;

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The other reason for a high number of free buffer waits in your system is that the number of database writer processes is inadequate to perform the amount of work your instance needs to get done. As you know, you can add additional database writer processes to the default number of processes, which is one database writer process for every eight processors on your host machine. If your database performs heavy data modifications and you determine that the database writer is responsible for wait events, you can reduce these waits in most cases by increasing the number of database writer processes. You can choose a value between 2 and 20 for the DB_WRITER_PROCESSES initialization parameter. Oracle recommends that you use one database writer process for every four CPUs on your system. You can t change this variable on the fly, so you ll need to perform a system restart to change the number of database writer processes.

The magic is on line 14 where we recursively call ourselves with a new primary key value to lock over and over If you run the procedure after populating the table with 148 character strings, you should observe: ops$tkyte%ORA11GR2> exec do_update(1); locked out trying to select row 38 PL/SQL procedure successfully completed This output shows that we were able to lock 37 rows but ran out of transaction slots for the 38th row For this given block, a maximum of 37 transactions can concurrently access it If we redo the example with a slightly smaller string ops$tkyte%ORA11GR2> truncate table t; Table truncated ops$tkyte%ORA11GR2> insert into t (x,y) 2 select rownum, rpad('*',147,'*') 3 from dual 4 connect by level <= 46; 46 rows created ops$tkyte%ORA11GR2> ops$tkyte%ORA11GR2> select length(y), 2 dbms_rowidrowid_block_number(rowid) blk, 3 count(*), min(x), max(x) 4 from t 5 group by length(y), dbms_rowid.

Enqueues are similar to locks in that they are internal mechanisms that control access to resources. High enqueue waits indicate that a large number of sessions are waiting for locks held by other sessions. You can query the dynamic performance view V$ENQUEUE_STAT to find out which of the enqueues have the most wait times reported. You can do this by using the cum_wait_time (shows the cumulative time spent waiting for the enqueue) column of the view. Note that the use of locally managed tablespaces eliminates several types of enqueues such as space transactions (ST) enqueues. In a system with a massive concurrent user base, most common enqueues are due to infrequent commits (or rollbacks) by transactions that force other transactions to wait for the locks held by the early transactions. In addition, there may be a problem with too few interested transactions list (ITL) slots, which also show up as transaction (TX) enqueues. Locally managed tablespaces let you avoid the most common types of space-related enqueues.

Alter session set isolation_level= serializable; Insert into a select count(*) from b; Insert into b select count(*) from a; Commit; Commit;

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