Which consistent get for which block

Hello Experts,
I have conducted an experiment at SQL*PLUS. I created a small table with 100 rows and then create an ununique index on the id column.
SQL> alter system flush shared_pool;
Sistem dei■tirildi.
SQL> create table small as
2 select rownum id, 'BOWIE' name from dual connect by level <= 100;
SQL> create index small_id_i on small(id);
SQL> alter session set tracefile_identifier = '100114_deneme2';
Oturum dei■tirildi.
SQL> exec dbms_monitor.session_trace_enable(waits => true);
PL/SQL yordam² ba■ar²yla tamamland².
SQL> select * from small where id = 44;
ID NAME
44 BOWIE
SQL> exec dbms_monitor.session_trace_disable;
PL/SQL yordam² ba■ar²yla tamamland².
After executed the above, I looked the trace file. The following excerpt was taken from end of the trace file.
=====================
PARSING IN CURSOR #4 len=210 dep=1 uid=0 oct=3 lid=0 tim=7391216619 hv=864012087 ad='7ff5f8385a8' sqlid='96g93hntrzjtr'
select /*+ rule */ bucket_cnt, row_cnt, cache_cnt, null_cnt, timestamp#, sample_size, minimum, maximum, distcnt, lowval, hival, density, col#, spare1, spare2, avgcln from hist_head$ where obj#=:1 and intcol#=:2
END OF STMT
EXEC #4:c=0,e=19,p=0,cr=0,cu=0,mis=0,r=0,dep=1,og=3,plh=2239883476,tim=7391216618
FETCH #4:c=0,e=10,p=0,cr=2,cu=0,mis=0,r=0,dep=1,og=3,plh=2239883476,tim=7391216713
CLOSE #4:c=0,e=2,dep=1,type=3,tim=7391216749
=====================
PARSING IN CURSOR #5 len=33 dep=0 uid=85 oct=3 lid=85 tim=7391217024 hv=1889534919 ad='7ff5f503f40' sqlid='c97q0gdsa00y7'
select * from small where id = 44
END OF STMT
PARSE #5:c=46800,e=121273,p=0,cr=52,cu=0,mis=1,r=0,dep=0,og=1,plh=1841720936,tim=7391217023
EXEC #5:c=0,e=17,p=0,cr=0,cu=0,mis=0,r=0,dep=0,og=1,plh=1841720936,tim=7391217119
WAIT #5: nam='SQL*Net message to client' ela= 1 driver id=1111838976 #bytes=1 p3=0 obj#=-1 tim=7391217185
FETCH #5:c=0,e=21,p=0,cr=2,cu=0,mis=0,r=1,dep=0,og=1,plh=1841720936,tim=7391217243
WAIT #5: nam='SQL*Net message from client' ela= 304 driver id=1111838976 #bytes=1 p3=0 obj#=-1 tim=7391217590
FETCH #5:c=0,e=13,p=0,cr=1,cu=0,mis=0,r=0,dep=0,og=1,plh=1841720936,tim=7391217673
STAT #5 id=1 cnt=1 pid=0 pos=1 obj=76014 op='TABLE ACCESS BY INDEX ROWID SMALL (cr=3 pr=0 pw=0 time=0 us cost=2 size=20 card=1)'
STAT #5 id=2 cnt=1 pid=1 pos=1 obj=76015 op='INDEX RANGE SCAN SMALL_ID_I (cr=2 pr=0 pw=0 time=0 us cost=1 size=0 card=1)'
WAIT #5: nam='SQL*Net message to client' ela= 1 driver id=1111838976 #bytes=1 p3=0 obj#=-1 tim=7391217792
*** 2014-01-10 15:10:36.712
WAIT #5: nam='SQL*Net message from client' ela= 23061079 driver id=1111838976 #bytes=1 p3=0 obj#=-1 tim=7414278895
CLOSE #5:c=0,e=27,dep=0,type=0,tim=7414279115
=====================
PARSING IN CURSOR #1 len=48 dep=0 uid=85 oct=47 lid=85 tim=7414281226 hv=3585424577 ad='7ff5f6ea810' sqlid='fypj2tgavag61'
BEGIN dbms_monitor.session_trace_disable; END;
END OF STMT
PARSE #1:c=15600,e=2045,p=0,cr=0,cu=0,mis=1,r=0,dep=0,og=1,plh=0,tim=7414281224
EXEC #1:c=0,e=1052,p=0,cr=0,cu=0,mis=0,r=1,dep=0,og=1,plh=0,tim=7414282442
My question is; Although this is very small table, I created an index. As you can see there are 3 consistent gets arise (cr=3). There is no doubt that the first consistent get happen on leaf block and the other on the table block. However, Does the third consistent get happen on which block?
In my opinion, The last consistent get should be on table block. Becacuse, according to the following thread (https://community.oracle.com/message/10711767). As far as I know from Solomon, there is fetch and there is prefetch. SQL*PLUS is written in OCI and in OCI prefetch defaults to 1. So, if you issue a query on SQL*PLUS and if this query returns one or more rows the first fetch and the second fetch should be on the same table block.
Also, can't we say that the last cr happen on table block by looking explain plan? Because, as it can be seen, cr was icreamented when table access by index rowid small line.
STAT #5 id=1 cnt=1 pid=0 pos=1 obj=76014 op='TABLE ACCESS BY INDEX ROWID SMALL (cr=3 pr=0 pw=0 time=0 us cost=2 size=20 card=1)'
STAT #5 id=2 cnt=1 pid=1 pos=1 obj=76015 op='INDEX RANGE SCAN SMALL_ID_I (cr=2 pr=0 pw=0 time=0 us cost=1 size=0 card=1)'
My second question, What can we do in order to understand which consistent get happen on which block (file# block# etc.)? Can't we understand by looking the trace file?
My third question is, before issue the select query on table. I flushed the shared pool. Does it make the parse 52 cr (Because of recursive calls)???
PARSE #5:c=46800,e=121273,p=0,cr=52,cu=0,mis=1,r=0,dep=0,og=1,plh=1841720936,tim=7391217023
I also trace 10200 event, if you want I also can show 10200 trace file. I didn't show it because I don't know how to read 10200 trace event.
Thanks in advance.

For example following 10200 trace event arised by select * from small where id = 42;
*** 2014-01-10 14:56:58.492
*** SESSION ID:(135.468) 2014-01-10 14:56:58.492
*** CLIENT ID:() 2014-01-10 14:56:58.492
*** SERVICE NAME:(SYS$USERS) 2014-01-10 14:56:58.492
*** MODULE NAME:(SQL*Plus) 2014-01-10 14:56:58.492
*** ACTION NAME:() 2014-01-10 14:56:58.492
ktrget2(): started for block <0x0004 : 0x010006bb> objd: 0x000128ee
env: (scn: 0x0000.004d5549 xid: 0x0000.000.00000000 uba: 0x00000000.0000.00 statement num=0 parent xid: xid: 0x0000.000.00000000 scn: 0x0000.00000000 97sch: scn: 0x0000.00000000 mascn: (scn: 0x0000.004d550c)
ktrexf(): returning 9 on: 0000000021DD1524 scn: 0xffff.ffffffff xid: 0x0000.000.00000000 uba: 0x00000000.0000.00 scn: 0xffff.ffffffff sfl: 0
ktrgcm(): completed for block <0x0004 : 0x010006bb> objd: 0x000128ee
ktrget2(): completed for block <0x0004 : 0x010006bb> objd: 0x000128ee
ktrgtc2(): started for block <0x0004 : 0x010006c3> objd: 0x000128ef
env: (scn: 0x0000.004d5549 xid: 0x0000.000.00000000 uba: 0x00000000.0000.00 statement num=0 parent xid: xid: 0x0000.000.00000000 scn: 0x0000.00000000 97sch: scn: 0x0000.00000000 mascn: (scn: 0x0000.004d550c)
ktrexc(): returning 8 on: 0000000021DD1524 scn: 0xffff.ffffffff xid: 0x0000.000.00000000 uba: 0x00000000.0000.00 scn: 0xffff.ffffffff sfl: 0
ktrgtc2(): completed for block <0x0004 : 0x010006c3> objd: 0x000128ef
ktrgtc2(): started for block <0x0000 : 0x00400b49> objd: 0x000001aa
env: (scn: 0x0000.004d5549 xid: 0x0000.000.00000000 uba: 0x00000000.0000.00 statement num=0 parent xid: xid: 0x0000.000.00000000 scn: 0x0000.00000000 96sch: scn: 0x0000.00000000 mascn: (scn: 0x0000.004d550c)
ktrexc(): returning 2 on: 0000000021DD1524 scn: 0xffff.ffffffff xid: 0x0000.000.00000000 uba: 0x00000000.0000.00 scn: 0xffff.ffffffff sfl: 0
ktrgtc2(): completed for block <0x0000 : 0x00400b49> objd: 0x000001aa
ktrget2(): started for block <0x0000 : 0x00415c82> objd: 0x000001aa
env: (scn: 0x0000.004d5549 xid: 0x0000.000.00000000 uba: 0x00000000.0000.00 statement num=0 parent xid: xid: 0x0000.000.00000000 scn: 0x0000.00000000 96sch: scn: 0x0000.00000000 mascn: (scn: 0x0000.004d550c)
ktrexf(): returning 9 on: 0000000021DD1524 scn: 0xffff.ffffffff xid: 0x0000.000.00000000 uba: 0x00000000.0000.00 scn: 0xffff.ffffffff sfl: 0
ktrgcm(): completed for block <0x0000 : 0x00415c82> objd: 0x000001aa
ktrget2(): completed for block <0x0000 : 0x00415c82> objd: 0x000001aa
ktrgtc2(): started for block <0x0004 : 0x010006c3> objd: 0x000128ef
env: (scn: 0x0000.004d5549 xid: 0x0000.000.00000000 uba: 0x00000000.0000.00 statement num=0 parent xid: xid: 0x0000.000.00000000 scn: 0x0000.00000000 97sch: scn: 0x0000.00000000 mascn: (scn: 0x0000.004d550c)
ktrexc(): returning 8 on: 0000000021DD1524 scn: 0xffff.ffffffff xid: 0x0000.000.00000000 uba: 0x00000000.0000.00 scn: 0xffff.ffffffff sfl: 0
ktrgtc2(): completed for block <0x0004 : 0x010006c3> objd: 0x000128ef
ktrget2(): started for block <0x0004 : 0x010006bb> objd: 0x000128ee
env: (scn: 0x0000.004d5549 xid: 0x0000.000.00000000 uba: 0x00000000.0000.00 statement num=0 parent xid: xid: 0x0000.000.00000000 scn: 0x0000.00000000 97sch: scn: 0x0000.00000000 mascn: (scn: 0x0000.004d550c)
ktrexf(): returning 9 on: 0000000021DD1524 scn: 0xffff.ffffffff xid: 0x0000.000.00000000 uba: 0x00000000.0000.00 scn: 0xffff.ffffffff sfl: 0
ktrgcm(): completed for block <0x0004 : 0x010006bb> objd: 0x000128ee
ktrget2(): completed for block <0x0004 : 0x010006bb> objd: 0x000128ee
ktrget2(): started for block <0x0004 : 0x010006c3> objd: 0x000128ef
env: (scn: 0x0000.004d5549 xid: 0x0000.000.00000000 uba: 0x00000000.0000.00 statement num=0 parent xid: xid: 0x0000.000.00000000 scn: 0x0000.00000000 96sch: scn: 0x0000.00000000 mascn: (scn: 0x0000.004d550c)
ktrexf(): returning 9 on: 0000000021DD1524 scn: 0xffff.ffffffff xid: 0x0000.000.00000000 uba: 0x00000000.0000.00 scn: 0xffff.ffffffff sfl: 0
ktrgcm(): completed for block <0x0004 : 0x010006c3> objd: 0x000128ef
ktrget2(): completed for block <0x0004 : 0x010006c3> objd: 0x000128ef

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SQL> set autotrace traceonly
SQL> select * from cm_per_phone_vw;
905 rows selected.
Execution Plan
Plan hash value: 524433310
| Id | Operation                    | Name         | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT             |              |   868 | 38192 |     8   (0)| 00:00:01 |
|   1 | SORT GROUP BY NOSORT        |              |   868 | 38192 |     8   (0)| 00:00:01 |
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CREATE OR REPLACE VIEW CM_PER_PHONE_VW
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, MAX(DECODE(TRIM(phone_type_cd), 'HOME', phone)) AS HOME
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, MAX(DECODE(TRIM(phone_type_cd), 'FAX', phone)) AS FAX
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FROM
ci_per_phone
GROUP BY
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INDEX_NAME                     COLUMN_NAME                    COLUMN_POSITION
XM172P0                        PER_ID                                       1
XM172P0                        SEQ_NUM                                      2
XM172S1                        PHONE                                        1
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CREATE OR REPLACE VIEW CM_PER_CHAR_VW
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/*+ full (a) */
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, MAX(DECODE(a.char_type_cd, 'ACCTYPE', a.char_val)) acct_type
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Execution Plan
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| Id | Operation              | Name         | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT       |              |    27 | 4536 |    14   (8)| 00:00:01 |
|   1 | HASH GROUP BY         |              |    27 | 4536 |    14   (8)| 00:00:01 |
|   2 |   VIEW                 |              |    27 | 4536 |    14   (8)| 00:00:01 |
|* 3 |    FILTER              |              |       |       |            |          |
|   4 |     HASH GROUP BY      |              |    27 | 2916 |    14   (8)| 00:00:01 |
|   5 |      NESTED LOOPS      |              | 2686 |   283K|    13   (0)| 00:00:01 |
|   6 |       TABLE ACCESS FULL| CI_ACCT_CHAR | 2686 |   157K|    12   (0)| 00:00:01 |
|* 7 |       INDEX RANGE SCAN | XM064P0      |     1 |    48 |     1   (0)| 00:00:01 |
Predicate Information (identified by operation id):
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       2321 bytes received via SQL*Net from client
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cm_acct_char_vw
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Parse        2      0.00       0.00          0          0          0           0
Execute      1      0.00       0.00          0          0          0           0
Fetch      178      0.07       0.05          0       2754          0        2649
total      181      0.07       0.05          0       2754          0        2649
Misses in library cache during parse: 1
Optimizer mode: CHOOSE
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      0 SELECT STATEMENT   MODE: CHOOSE
      0   HASH (GROUP BY)
      0    VIEW
      0     FILTER
      0      HASH (GROUP BY)
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      0        TABLE ACCESS   MODE: ANALYZED (FULL) OF 'CI_ACCT_CHAR'
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Elapsed times include waiting on following events:
Event waited on                             Times   Max. Wait Total Waited
----------------------------------------   Waited ---------- ------------
SQL*Net message to client                     179        0.00          0.00
SQL*Net message from client                   179        0.00          0.08
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There are not any of DML on table tb_hxl_user.
First Select:
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286435658
Elapsed: 00:04:03.67
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          0 redo size
        422 bytes sent via SQL*Net to client
        416 bytes received via SQL*Net from client
          2 SQL*Net roundtrips to/from client
          0 sorts (memory)
          0 sorts (disk)
          1 rows processed                                                     After the first,I know that all the blocks have been flushed to SGA,
but the second select,it generated many " 2106395 consistent gets" and " 2106273 physical reads" also,
why?

What exactly is consistent gets read below link:
http://jonathanlewis.wordpress.com/2009/06/12/consistent-gets-2/
Which is similar to docs clearity and authenticity.
What exactly is physical read read below link:
http://download.oracle.com/docs/cd/B16240_01/doc/doc.102/e16282/oracle_database_help/oracle_database_instance_throughput_physreads_ps.html
Regards
Girish Sharma

High Consistent Gets and memory settings

What is actually high consistent gets?
I get High Consistent Gets for certain sessions. Following are some of my parameter settings.
db_16k_cache_size = 0
db_2k_cache_size = 0
db_32k_cache_size = 0
db_4k_cache_size = 0
db_8k_cache_size = 0
db_block_size = 8192
sga_max_size = 7632M
sga_target = 7632M
shared_pool_reserved_size = 119957094
shared_pool_size = 48M
pga_aggregate_target = 1500M
Will setting AMM by configuring following parameter help Oracle to manage the memory in terms of workload and reduce CONSISTENT GETS?
Or do I need to manually configure parameter such as "db_8k_cache_size".?
memory_max_target = my SGA+PGA: 9.5G
memory_target = my SGA+PGA: 9.5G
sga_target = 0
pga_agreegate_target =0
Regards, Lily

Lily wrote:
What is actually high consistent gets?These are the logical IO's . If the logical IOs are high, it may mean that you have selected a lot of data which is now supposed to be given back to you. The high Logical IOs is not something that you should try to minimize using a high amount of memory since its already cached data. That sort of workaround works or would work if the physical IOs are high. If the session is doing more logical IO's check the query and the selectivity of the data and see if you can limit it further.
I get High Consistent Gets for certain sessions. Following are some of my parameter settings.
db_16k_cache_size = 0
db_2k_cache_size = 0
db_32k_cache_size = 0
db_4k_cache_size = 0
db_8k_cache_size = 0
db_block_size = 8192
sga_max_size = 7632M
sga_target = 7632M
shared_pool_reserved_size = 119957094
shared_pool_size = 48M
pga_aggregate_target = 1500M
Will setting AMM by configuring following parameter help Oracle to manage the memory in terms of workload and reduce CONSISTENT GETS?
Or do I need to manually configure parameter such as "db_8k_cache_size".?
memory_max_target = my SGA+PGA: 9.5G
memory_target = my SGA+PGA: 9.5G
sga_target = 0
pga_agreegate_target =0
As I said, instance tuning is not something that you should aim for .
Aman....

Trying to understand consistent gets

1. We were very surprised to observe that the consistent gets for a query (shown below) changed (from 120K to 18K) when the only modification was adding a comment to it. How can this happen?
2. Furthermore, the plans for the two queries were identical. How can consistent gets differ if the plan is the same?
3. Is consistent gets the best metric for comparing the performance of two versions of a query, or is there a better one? (In the past we've tried to use execution timing for comparison, but the timing of a single query can vary greatly between runs.)
select
       count(*) from (
SELECT source_id, project_id,
       max_score,
       fields_matched
FROM (SELECT source_id, project_id, MAX(scoring) as max_score,
             apidb.tab_to_string(set(CAST(COLLECT(table_name) AS apidb.varchartab)), ', ') fields_matched,
             max(index_name) keep (dense_rank first order by scoring desc, source_id, table_name) as index_name,
             max(oracle_rowid) keep (dense_rank first order by scoring desc, source_id, table_name) as oracle_rowid
      FROM ( SELECT SCORE(1) * (select nvl(max(weight), 1) from apidb.TableWeight where table_name = 'Blastp')
                       as scoring,
                    'apidb.blastp_text_ix' as index_name, b.rowid as oracle_rowid, b.source_id, b.project_id,
                    external_database_name as table_name
              FROM apidb.Blastp b
              WHERE CONTAINS(b.description, 'protein', 1) > 0
                AND 'Blastp' IN ('Product', 'Notes', 'Comments', 'InterPro', 'EcNumber', 'GoTerms', 'Phenotype', 'Notes', 'and the rest')
                AND 'gene' = 'gene'
                AND b.pvalue_exp < -30
                AND b.query_organism IN ('Plasmodium falciparum', 'Plasmodium vivax', 'Plasmodium yoelii', 'Plasmodium berghei', 'Plasmodium chabaudi', 'Plasmodium knowlesi')
            UNION
              SELECT
                     SCORE(1)* nvl(tw.weight, 1)
                       as scoring,
                     'apidb.gene_text_ix' as index_name, gt.rowid as oracle_rowid, gt.source_id, gt.project_id, gt.field_name as table_name
              FROM apidb.GeneDetail gt, apidb.TableWeight tw, apidb.GeneAttributes ga
              WHERE CONTAINS(content, 'protein', 1) > 0
                AND gt.field_name IN ('Product', 'Notes', 'Comments', 'InterPro', 'EcNumber', 'GoTerms', 'Phenotype')
                AND 'gene' = 'gene'
                AND gt.field_name = tw.table_name(+)
                AND gt.source_id = ga.source_id
                AND ga.species IN ('Plasmodium falciparum', 'Plasmodium vivax', 'Plasmodium yoelii', 'Plasmodium berghei', 'Plasmodium chabaudi', 'Plasmodium knowlesi')
            UNION
              SELECT SCORE(1) * nvl(tw.weight, 1)
                       as scoring,
                    'apidb.isolate_text_ix' as index_name, wit.rowid as oracle_rowid, wit.source_id, wit.project_id, wit.field_name as table_name
              FROM apidb.IsolateDetail wit, apidb.TableWeight tw
              WHERE CONTAINS(content, 'protein', 1) > 0
                AND wit.field_name in ('fred')
                AND 'gene' = 'isolate'
                AND wit.field_name = tw.table_name(+)
      GROUP BY source_id, project_id
      ORDER BY max_score desc, source_id
);

1. We were very surprised to observe that the consistent gets for a query (shown below) changed (from 120K to 18K) when the only modification was adding a comment to it. How can this happen?Adding a comment and getting a different anything makes no sense, but you already know this. Did you toggle the comment on and off to see any changes in performance?
2. Furthermore, the plans for the two queries were identical. How can consistent gets differ if the plan is the same?Clearly something odd happened. Possibilities include
* wrong execution plan reported in one case (unlikely, but possible)
* system resource availability was different at different times
3. Is consistent gets the best metric for comparing the performance of two versions of a queryI use consistent gets, but also look at disk reads (not useful after data has been cached), CPU, and overall execution time. On rare occasions queries can be CPU-bound
Edited by: riedelme on Mar 3, 2010 1:06 PM

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