SQL> select banner from v$version;
Oracle Database 11g Enterprise Edition Release 11.2.0.3.0 - 64bit Production
PL/SQL Release 11.2.0.3.0 - Production
CORE 11.2.0.3.0 Production
TNS for 64-bit Windows: Version 11.2.0.3.0 - Production
NLSRTL Version 11.2.0.3.0 - Production
SQL> create table horia.new_date as select * from all_objects;
SQL>
Run 3 sessions in parallel in order to touch the same block several times and introduce latch contention.
declare
n number;
begin
for i in 1..1000000 loop
select object_id
into n
from new_date
where 1=1 --object_type='TABLE'
and object_id =116 and rownum <2;
end loop;
end;
Identify a high or rapid increasing wait count on the CACHE BUFFERS CHAINS latch.
SQL> select CHILD# "cCHILD"
2 , ADDR "sADDR"
3 , GETS "sGETS"
4 , MISSES "sMISSES"
5 , SLEEPS "sSLEEPS"
6 from v$latch_children
7 where name = 'cache buffers chains'
8 and sleeps !=0
9 order by 5, 1, 2, 3;
cCHILD sADDR sGETS sMISSES sSLEEPS
---------- ---------------- ---------- ---------- ----------
3421 000007FF309E0200 25923210 974760 1
889 000007FF30FF4028 51849242 2044527 3
Run the above query a few times to establish the id(ADDR) that has the most
consistent amount of sleeps. Once the id(ADDR) with the highest sleep count is found
then this latch address can be used to get more details about the blocks
currently in the buffer cache protected by this latch.
The query below should be run just after determining the ADDR with
the highest sleep count.
SQL> column segment_name format a35
SQL> select /*+ RULE */
2 e.owner ||'.'|| e.segment_name segment_name,
3 e.extent_id extent#,
4 x.dbablk - e.block_id + 1 block#,
5 x.tch,
6 l.child#
7 from
8 sys.v$latch_children l,
9 sys.x$bh x,
10 sys.dba_extents e
11 where
12 x.hladdr = '&ADDR' and
13 e.file_id = x.file# and
14 x.hladdr = l.addr and
15 x.dbablk between e.block_id and e.block_id + e.blocks -1
16 and x.tch>10
17 order by x.tch desc ;
Enter value for addr: 000007FF30FF4028
old 12: x.hladdr = '&ADDR' and
new 12: x.hladdr = '000007FF30FF4028' and
SEGMENT_NAME EXTENT# BLOCK# TCH CHILD#
----------------------------------- ---------- ---------- ---------- ----------
HORIA.NEW_DATE 0 3 156 889
Depending on the TCH column (The number of times the block is hit by a SQL
statement), you can identify a hot block. The higher the value of the TCH column,
the more frequent the block is accessed by SQL statements.
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