Instead, we could look at Oracle's plan stability technologies. There are 4 plan stability features in the database. They are different, but conceptually they all involve associating a set of hints with a statement that will be picked up by the optimizer at runtime.
- SQL Outlines can be collected by the database at runtime. They can exactly match a SQL text or force match. However, they are deprecated from 11g.
- SQL Baselines can be collected by the database at runtime either on request or automatically. They feed real experience of previous executions of a statement back into subsequent executions. They match by SQL_ID.
- SQL Patches are a mechanism for manually inserting specific hints into a specific SQL ID
- SQL Profiles are also a mechanism for inserting specific hints into a specific SQL statement, but can also do forced matching. We are probably most used to creating profiles with Carlos Sierra's coe_xfr_sql_profile.sql script (part of Oracle support's SQLTXPLAIN), but as this blog will show that is not the only option. However, they require the database tuning pack to be licenced, which is not the case with the other mechanisms.
- SQL Plan Management (Part 4 of 4) User Interfaces and Other Features (Feb 2009): Maria Colgan described the DBMS_SPM package, and how baselines are captured, evolved and can be accepted.
- Using SQL Patch to add hints to a packaged application (June 2017): Nigel Bayliss describes the new DBMS_SQLDIAG API in Oracle 12.2 to add SQL patches to specific SQL statements, but everything works the same in the internal package as described in Maria's earlier blogs:
- Using SQL Patch to add hints to a packaged application (Feb 2012) describes adding patches with the DBMS_SQLDIAG_INTERNAL package.
- Additional Information on SQL Patches (Mar 2012)
The following example SQL was generated by PeopleSoft GL reporting tool, nVision. The code is dynamically generated by the tool, and there is no way to add a hint directly. The generated code contains literal values, in particular, the SELECTOR_NUM will be different for every execution. Therefore the SQL_ID will be different for every execution. Therefore, it is not possible to use a SQL Patch to inject a hint.
SELECT L2.TREE_NODE_NUM,L3.TREE_NODE_NUM,SUM(A.POSTED_TOTAL_AMT)
FROM PS_XX_SUM_CONSOL_VW A, PSTREESELECT05 L2, PSTREESELECT10 L3
WHERE A.LEDGER='S_USMGT'
AND A.FISCAL_YEAR=2017
AND A.ACCOUNTING_PERIOD BETWEEN 0 AND 12
AND (A.DEPTID BETWEEN 'A0000' AND 'A8999' OR A.DEPTID BETWEEN 'B0000' AND 'B9149'
OR A.DEPTID='B9156' OR A.DEPTID='B9158' OR A.DEPTID BETWEEN 'B9165' AND 'B9999'
OR A.DEPTID BETWEEN 'C0000' AND 'C9999' OR A.DEPTID BETWEEN 'D0000' AND 'D9999'
OR A.DEPTID BETWEEN 'G0000' AND 'G9999' OR A.DEPTID BETWEEN 'H0000' AND 'H9999'
OR A.DEPTID='B9150' OR A.DEPTID=' ')
AND L2.SELECTOR_NUM=10228
AND A.BUSINESS_UNIT=L2.RANGE_FROM_05
AND L3.SELECTOR_NUM=10231
AND A.ACCOUNT=L3.RANGE_FROM_10
AND A.CHARTFIELD1='0012345'
AND A.CURRENCY_CD='GBP'
GROUP BY L2.TREE_NODE_NUM,L3.TREE_NODE_NUM
/
If only the literal values differ, then the SQL statements will have the same force matching signature and one SQL profile will match all similar statements. Although, statements will not force match if the number of predicates changes. Nonetheless, I can inject hints with a SQL profile. This is the plan I get initially without a profile. It doesn't perform well, and it is not the plan I want.Plan hash value: 808840077
-----------------------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | Pstart| Pstop |
-----------------------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | | | 10408 (100)| | | |
| 1 | HASH GROUP BY | | 517 | 50666 | 10408 (1)| 00:00:01 | | |
| 2 | HASH JOIN | | 517 | 50666 | 10407 (1)| 00:00:01 | | |
| 3 | PARTITION RANGE SINGLE | | 731 | 13158 | 3 (0)| 00:00:01 | 10228 | 10228 |
| 4 | INDEX FAST FULL SCAN | PSAPSTREESELECT05 | 731 | 13158 | 3 (0)| 00:00:01 | 10228 | 10228 |
| 5 | HASH JOIN | | 518 | 41440 | 10404 (1)| 00:00:01 | | |
| 6 | PARTITION RANGE SINGLE | | 249 | 5727 | 2 (0)| 00:00:01 | 10231 | 10231 |
| 7 | INDEX FAST FULL SCAN | PSAPSTREESELECT10 | 249 | 5727 | 2 (0)| 00:00:01 | 10231 | 10231 |
| 8 | PARTITION RANGE ITERATOR | | 7785 | 433K| 10402 (1)| 00:00:01 | 28 | 40 |
| 9 | TABLE ACCESS BY LOCAL INDEX ROWID BATCHED| PS_X_LEDGER_ACCTS | 7785 | 433K| 10402 (1)| 00:00:01 | 28 | 40 |
| 10 | SORT CLUSTER BY ROWID BATCHED | | 5373 | | 5177 (1)| 00:00:01 | | |
| 11 | INDEX SKIP SCAN | PS_X_LEDGER_ACCTS | 5373 | | 5177 (1)| 00:00:01 | 28 | 40 |
-----------------------------------------------------------------------------------------------------------------------------------
These are the hints I want to introduce. I want to force materialize view rewrite, invoke parallelism if the statement is estimated to run for at least 2 seconds, and use a Bloom filter on the materialized view.SELECT /*+OPT_PARAM('parallel_degree_policy','AUTO') OPT_PARAM('parallel_min_time_threshold',2)
OPT_PARAM('parallel_degree_limit',4) REWRITE PX_JOIN_FILTER(PS_XX_SUM_GCNSL_MV)*/…
This application produces many statements that I may want to control with a profile, but with forced matching this comes down to a not unmanageable number. I have created a data-driven framework to create the profiles. I have created working storage table into which I will populate it with details of each force matching signature for which I want to create a profile.CREATE TABLE dmk_fms_profiles
(force_matching_signature NUMBER NOT NULL
,sql_id VARCHAR2(13)
,plan_hash_value NUMBER
,module VARCHAR2(64)
,report_id VARCHAR2(32) /*Application Specific*/
,tree_list CLOB /*Application Specific*/
,sql_profile_name VARCHAR2(30)
,parallel_min_time_threshold NUMBER
,parallel_degree_limit NUMBER
,other_hints CLOB
,delete_profile VARCHAR2(1)
,sql_text CLOB
,CONSTRAINT dmk_fms_profiles_pk PRIMARY KEY (force_matching_signature)
,CONSTRAINT dmk_fms_profiles_u1 UNIQUE (sql_id)
,CONSTRAINT dmk_fms_profiles_u2 UNIQUE (sql_profile_name)
)
/
Using conditional parallelism with the PARALLEL_MIN_TIME_THRESHOLD, but limited with PARALLEL_DEGREE_LIMIT is a frequently used tactic with this application, so I have specified columns for those hints, otherwise, hints are injected via a string. I identified the problematic SQL by analysis with ASH, and hence I also obtained the FORCE_MATCHING_SIGNATURE for them. The metadata is keyed by FORCE_MATCHING_SIGNATURE. I am specifying an additional hint to force materialized view rewrite and use a Bloom filter on the ledger table. I have specified a meaningful name for the SQL profile.INSERT INTO dmk_fms_profiles (force_matching_signature, parallel_min_time_threshold, parallel_degree_limit, other_hints, sql_profile_name)
VALUES (16625752171077499412, 1, 4, 'REWRITE PX_JOIN_FILTER(PS_FT_SUM_GCNSL_MV)', 'NVS_GBGL123I_BU_CONSOL_ACCOUNT');
COMMIT;
Profiles are created on the text of a SQL rather than the SQL_ID or FORCE_MATCHING_SIGNATURE directly. Therefore the SQL_TEXT must be extracted from the AWR, so this method also requires that the statement has been captured by an AWR snapshot.UPDATE dmk_fms_profiles a
SET (module, action, sql_id, plan_hash_value, sql_text)
= (SELECT s.module, s.action, s.sql_id, s.plan_hash_value, t.sql_text
FROM dba_hist_sqlstat s
, dba_hist_sqltext t
WHERE t.dbid = s.dbid
AND t.sql_id = s.sql_id
AND s.force_matching_signature = a.force_matching_signature
AND s.snap_id = (
SELECT MAX(s1.snap_id)
FROM dba_hist_sqlstat s1
WHERE s1.force_matching_signature = a.force_matching_signature
AND s1.module = 'RPTBOOK' /*Application Specific*/
AND s1.action LIKE 'PI=%:%:%' /*Application Specific*/)
AND s.module = 'RPTBOOK' /*Application Specific*/
AND s.action LIKE 'PI=%:%:%' /*Application Specific*/
AND ROWNUM = 1)
WHERE sql_id IS NULL
/
MERGE INTO dmk_fms_profiles u
USING (
SELECT a.sql_id, a.force_matching_signature, p.name
FROM dmk_fms_profiles a
, dba_sql_profiles p
WHERE p.signature = a.force_matching_signature
) s
ON (s.force_matching_signature = u.force_matching_signature)
WHEN MATCHED THEN UPDATE
SET u.sql_profile_name = s.name
/
Columns REPORT_ID and TREE_LIST contain application specific information extracted from the application instrumentation and logging. They only mean something in the context of the application./*Application Specific - extract report ID from ACTION*/
UPDATE dmk_fms_profiles a
SET report_id = substr(regexp_substr(s.action,':([A-Za-z0-9_-])+',1,1),2)
WHERE report_id IS NULL
AND action IS NOT NULL
/
Now I can produce a simple report of the metadata in order to see what profiles should be created.column sql_text word_wrapped on format a110
column module format a8
column report_id heading 'nVision|Report ID'
column tree_list word_wrapped on format a20
column plan_hash_value heading 'SQL Plan|Hash Value' format 9999999999
column parallel_min_time_threshold heading 'Parallel|Min Time|Threshold' format 999
column parallel_degree_limit heading 'Parallel|Degree|Limit' format 999
set long 500
SELECT * FROM dmk_fms_profiles
/
SQL Plan
FORCE_MATCHING_SIGNATURE SQL_ID Hash Value MODULE ACTION
------------------------ ------------- ----------- -------- ----------------------------------------------------------------
Parallel Parallel
nVision Min Time Degree
Report ID TREE_LIST SQL_PROFILE_NAME Threshold Limit D
-------------------------------- -------------------- ------------------------------ --------- -------- -
OTHER_HINTS
--------------------------------------------------------------------------------
SQL_TEXT
--------------------------------------------------------------------------------------------------------------
12803175998948432502 5pzxhha3392cs 988048519 RPTBOOK PI=3186222:USGL233I:10008
USGL233I BU_GAAP_CONSOL, NVS_GBGL123I_BU_CONSOL_ACCOUNT 1 4
GAAP_ACCOUNT
REWRITE PX_JOIN_FILTER(PS_XX_SUM_GCNSL_MV)
SELECT L2.TREE_NODE_NUM,A.ACCOUNT,SUM(A.POSTED_TOTAL_AMT) FROM PS_LEDGER A, PSTREESELECT05 L2, PSTREESELECT10 L3
WHERE A.LEDGER='S_GBMGT' AND A.FISCAL_YEAR=2017 AND A.ACCOUNTING_PERIOD BETWEEN 0 AND 12 AND (A.DEPTID BETWEEN
'A0000' AND 'A8999' OR A.DEPTID BETWEEN 'B0000' AND 'B9149' OR A.DEPTID='B9156' OR A.DEPTID='B9158' OR A.DEPTID
BETWEEN 'B9165' AND 'B9999' OR A.DEPTID BETWEEN 'C0000' AND 'C9999' OR A.DEPTID BETWEEN 'D0000' AND 'D9999' OR
A.DEPTID BETWEEN 'G0000' AND 'G9999' OR A.DE
Next, this PL/SQL block will create or recreate SQL profiles from the metadata. The various hints can be concatenated into a single string and passed as a parameter to SQLPROF_ATTR. The SQL text is passed as a parameter when the profile is created.set serveroutput on
DECLARE
l_signature NUMBER;
h SYS.SQLPROF_ATTR;
e_no_sql_profile EXCEPTION;
PRAGMA EXCEPTION_INIT(e_no_sql_profile, -13833);
l_description CLOB;
BEGIN
FOR i IN (
SELECT f.*, s.name
FROM dmk_fms_profiles f
LEFT OUTER JOIN dba_sql_profiles s
ON f.force_matching_signature = s.signature
) LOOP
BEGIN
IF i.name IS NOT NULL AND i.delete_profile = 'Y' THEN
dbms_sqltune.drop_sql_profile(name => i.name);
END IF;
EXCEPTION WHEN e_no_sql_profile THEN NULL;
END;
IF i.delete_profile = 'Y' THEN
NULL;
ELSIF i.sql_text IS NOT NULL THEN
h := SYS.SQLPROF_ATTR(
q'[BEGIN_OUTLINE_DATA]',
CASE WHEN i.parallel_min_time_threshold>=0 THEN 'OPT_PARAM(''parallel_degree_policy'',''AUTO'') ' END||
CASE WHEN i.parallel_degree_limit >=0 THEN 'OPT_PARAM(''parallel_degree_limit'',' ||i.parallel_degree_limit ||') ' END||
CASE WHEN i.parallel_min_time_threshold>=0 THEN 'OPT_PARAM(''parallel_min_time_threshold'','||i.parallel_min_time_threshold||') ' END||
i.other_hints,
q'[END_OUTLINE_DATA]');
l_signature := DBMS_SQLTUNE.SQLTEXT_TO_SIGNATURE(i.sql_text);
l_description := 'coe nVision '||i.report_id||' '||i.tree_list||' '||i.force_matching_signature||'='||l_signature;
dbms_output.put_line(i.sql_profile_name||' '||l_description);
DBMS_SQLTUNE.IMPORT_SQL_PROFILE (
sql_text => i.sql_text,
profile => h,
name => i.sql_profile_name,
description => l_description,
category => 'DEFAULT',
validate => TRUE,
replace => TRUE,
force_match => TRUE /* TRUE:FORCE (match even when different literals in SQL). FALSE:EXACT (similar to CURSOR_SHARING) */ );
END IF;
END LOOP;
END;
/
I can verify that the profile has been created, and the hints that it contains, thus:SELECT profile_name,
xmltype(comp_data) as xmlval
FROM dmk_fms_profiles p
, dbmshsxp_sql_profile_attr x
WHERE x.profile_name = p.sql_profile_name
AND p.status = 'ENABLED'
ORDER BY 1
/
PROFILE_NAME
------------------------------
XMLVAL
------------------------------------------------------------------------------------------------
NVS_GBGL123I_BU_CONSOL_ACCOUNT
<![CDATA[BEGIN_OUTLINE_DATA]]>
<![CDATA[OPT_PARAM('parallel_degree_policy','AUTO') OPT_PARAM('parallel_degree_limit',4) OPT_PARAM('parallel_min_time_threshold',1) REWRITE PX_JOIN_FILTER(PS_FT_SUM_GCNSL_MV)]]>
<![CDATA[END_OUTLINE_DATA]]>
And now when the application runs, I get the plan that I wanted.- The query runs in parallel.
- The SQL is rewritten to use materialized view.
- There are no indexes so it must full scan it.
- It generates a bloom filter from PSTREESELECT10 and applies it to the materialized view.
---------------------------------------------------------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | Pstart| Pstop | TQ |IN-OUT| PQ Distrib |
---------------------------------------------------------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | | | 2219 (100)| | | | | | |
| 1 | PX COORDINATOR | | | | | | | | | | |
| 2 | PX SEND QC (RANDOM) | :TQ10004 | 111 | 9879 | 2219 (6)| 00:00:01 | | | Q1,04 | P->S | QC (RAND) |
| 3 | HASH GROUP BY | | 111 | 9879 | 2219 (6)| 00:00:01 | | | Q1,04 | PCWP | |
| 4 | PX RECEIVE | | 111 | 9879 | 2219 (6)| 00:00:01 | | | Q1,04 | PCWP | |
| 5 | PX SEND HASH | :TQ10003 | 111 | 9879 | 2219 (6)| 00:00:01 | | | Q1,03 | P->P | HASH |
| 6 | HASH GROUP BY | | 111 | 9879 | 2219 (6)| 00:00:01 | | | Q1,03 | PCWP | |
| 7 | HASH JOIN | | 536 | 47704 | 2218 (6)| 00:00:01 | | | Q1,03 | PCWP | |
| 8 | PX RECEIVE | | 536 | 38056 | 2215 (6)| 00:00:01 | | | Q1,03 | PCWP | |
| 9 | PX SEND HYBRID HASH | :TQ10002 | 536 | 38056 | 2215 (6)| 00:00:01 | | | Q1,02 | P->P | HYBRID HASH|
| 10 | STATISTICS COLLECTOR | | | | | | | | Q1,02 | PCWC | |
| 11 | HASH JOIN | | 536 | 38056 | 2215 (6)| 00:00:01 | | | Q1,02 | PCWP | |
| 12 | BUFFER SORT | | | | | | | | Q1,02 | PCWC | |
| 13 | JOIN FILTER CREATE | :BF0000 | 236 | 3776 | 2 (0)| 00:00:01 | | | Q1,02 | PCWP | |
| 14 | PX RECEIVE | | 236 | 3776 | 2 (0)| 00:00:01 | | | Q1,02 | PCWP | |
| 15 | PX SEND BROADCAST | :TQ10000 | 236 | 3776 | 2 (0)| 00:00:01 | | | | S->P | BROADCAST |
| 16 | PARTITION RANGE SINGLE | | 236 | 3776 | 2 (0)| 00:00:01 | 36774 | 36774 | | | |
| 17 | INDEX FAST FULL SCAN | PSAPSTREESELECT10 | 236 | 3776 | 2 (0)| 00:00:01 | 36774 | 36774 | | | |
| 18 | JOIN FILTER USE | :BF0000 | 8859 | 475K| 2213 (6)| 00:00:01 | | | Q1,02 | PCWP | |
| 19 | PX BLOCK ITERATOR | | 8859 | 475K| 2213 (6)| 00:00:01 | 29 | 41 | Q1,02 | PCWC | |
| 20 | MAT_VIEW REWRITE ACCESS STORAGE FULL| PS_XX_SUM_GCNSL_MV | 8859 | 475K| 2213 (6)| 00:00:01 | 29 | 41 | Q1,02 | PCWP |
| 21 | BUFFER SORT | | | | | | | | Q1,03 | PCWC | |
| 22 | PX RECEIVE | | 731 | 13158 | 3 (0)| 00:00:01 | | | Q1,03 | PCWP | |
| 23 | PX SEND HYBRID HASH | :TQ10001 | 731 | 13158 | 3 (0)| 00:00:01 | | | | S->P | HYBRID HASH|
| 24 | PARTITION RANGE SINGLE | | 731 | 13158 | 3 (0)| 00:00:01 | 36773 | 36773 | | | |
| 25 | INDEX FAST FULL SCAN | PSAPSTREESELECT05 | 731 | 13158 | 3 (0)| 00:00:01 | 36773 | 36773 | | | |
---------------------------------------------------------------------------------------------------------------------------------------------------------------------
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