Differenet Explain Plan for Same Query
DB Version : 11.2.0.3
OS Version : AIX 6
I have two Queries ( The Difference between Them Only 940 and 584 ) When I Generate Explain Plan Different Output Why ? Why CPU time is Different Each Time
First Query Statement :
INSERT INTO TempSearchResult (t_aid,
t_umidl,
t_umidh,
X_CREA_DATE_TIME_MESG)
SELECT z.aid,
z.mesg_s_umidl,
z.mesg_s_umidh,
z.mesg_crea_date_time
FROM ( SELECT m.aid,
m.mesg_s_umidl,
m.mesg_s_umidh,
m.mesg_crea_date_time
FROM RSMESG_ESIDE m
WHERE 1 = 1
AND m.mesg_crea_date_time BETWEEN TO_DATE (
'20120131 10:00:00',
'YYYYMMDD HH24:MI:SS')
AND TO_DATE (
'20120131 13:00:00',
'YYYYMMDD HH24:MI:SS')
AND m.mesg_frmt_name = 'Swift'
AND m.mesg_sender_x1 = 'SOGEFRPPXXX'
AND m.mesg_nature = 'FINANCIAL_MSG'
AND m.mesg_type LIKE '950'
ORDER BY mesg_crea_date_time) z
WHERE ROWNUM <= 5000
Explain Plan for First Query :
PLAN_TABLE_OUTPUT
Plan hash value: 3901722890
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | Pstart| Pstop |
| 0 | INSERT STATEMENT | | 2866 | 134K| 197 (3)| 00:00:03 | | |
| 1 | LOAD TABLE CONVENTIONAL | TEMPSEARCHRESULT | | | | | | |
|* 2 | COUNT STOPKEY | | | | | | | |
| 3 | VIEW | | 2866 | 134K| 197 (3)| 00:00:03 | | |
|* 4 | SORT ORDER BY STOPKEY | | 2866 | 333K| 197 (3)| 00:00:03 | | |
| 5 | NESTED LOOPS | | 2866 | 333K| 196 (2)| 00:00:03 | | |
PLAN_TABLE_OUTPUT
| 6 | NESTED LOOPS | | 1419 | 148K| 196 (2)| 00:00:03 | | |
|* 7 | HASH JOIN | | 1419 | 141K| 196 (2)| 00:00:03 | | |
| 8 | NESTED LOOPS | | 91 | 1911 | 2 (0)| 00:00:01 | | |
| 9 | TABLE ACCESS BY INDEX ROWID | SUSER | 1 | 10 | 1 (0)| 00:00:01 | | |
|* 10 | INDEX UNIQUE SCAN | IX_SUSER | 1 | | 0 (0)| 00:00:01 | | |
|* 11 | INDEX FULL SCAN | PK_SUNITUSERGROUP | 91 | 1001 | 1 (0)| 00:00:01 | | |
| 12 | PARTITION RANGE SINGLE | | 1450 | 114K| 193 (2)| 00:00:03 | 2 | 2 |
|* 13 | TABLE ACCESS BY LOCAL INDEX ROWID| RMESG | 1450 | 114K| 193 (2)| 00:00:03 | 2 | 2 |
|* 14 | INDEX SKIP SCAN | IX_RMESG | 415 | | 14 (15)| 00:00:01 | 2 | 2 |
|* 15 | INDEX UNIQUE SCAN | PK_SMSGUSERGROUP | 1 | 5 | 0 (0)| 00:00:01 | | |
|* 16 | INDEX UNIQUE SCAN | PK_SBICUSERGROUP | 2 | 24 | 0 (0)| 00:00:01 | | |
PLAN_TABLE_OUTPUT
PLAN_TABLE_OUTPUT
Predicate Information (identified by operation id):
2 - filter(ROWNUM<=5000)
4 - filter(ROWNUM<=5000)
7 - access("X_INST0_UNIT_NAME"="UNIT")
10 - access("SUSER"."USERNAME"="SIDE"."GETMYUSER"())
11 - access("SUSER"."GROUPID"="SUNITUSERGROUP"."GROUPID")
filter("SUSER"."GROUPID"="SUNITUSERGROUP"."GROUPID")
PLAN_TABLE_OUTPUT
13 - filter("RMESG"."MESG_SENDER_X1"='SOGEFRPPXXX' AND "RMESG"."MESG_NATURE"='FINANCIAL_MSG' AND
"RMESG"."MESG_FRMT_NAME"='Swift')
14 - access("RMESG"."MESG_CREA_DATE_TIME">=TO_DATE(' 2012-01-31 10:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
"RMESG"."MESG_TYPE"='950' AND "RMESG"."MESG_CREA_DATE_TIME"<=TO_DATE(' 2012-01-31 13:00:00', 'syyyy-mm-dd hh24:mi:ss'))
filter("RMESG"."MESG_TYPE"='950')
15 - access("X_CATEGORY"="CATEGORY" AND "SUSER"."GROUPID"="SMSGUSERGROUP"."GROUPID")
16 - access("X_OWN_LT"="BICCODE" AND "SUSER"."GROUPID"="SBICUSERGROUP"."GROUPID")
40 rows selected.
Second query
INSERT INTO TempSearchResult (t_aid,
t_umidl,
t_umidh,
X_CREA_DATE_TIME_MESG)
SELECT z.aid,
z.mesg_s_umidl,
z.mesg_s_umidh,
z.mesg_crea_date_time
FROM ( SELECT m.aid,
m.mesg_s_umidl,
m.mesg_s_umidh,
m.mesg_crea_date_time
FROM RSMESG_ESIDE m
WHERE 1 = 1
AND m.mesg_crea_date_time BETWEEN TO_DATE (
'20120117 10:00:00',
'YYYYMMDD HH24:MI:SS')
AND TO_DATE (
'20120117 13:00:00',
'YYYYMMDD HH24:MI:SS')
AND m.mesg_frmt_name = 'Swift'
AND m.mesg_sender_x1 = 'SOGEFRPPGSS'
AND m.mesg_nature = 'FINANCIAL_MSG'
AND m.mesg_type LIKE '548'
ORDER BY mesg_crea_date_time) z
WHERE ROWNUM <= 5000
Explain Plan For Second Query :
PLAN_TABLE_OUTPUT
Plan hash value: 4106071428
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time | Pstart| Pstop |
| 0 | INSERT STATEMENT | | 1073 | 51504 | | 2622 (1)| 00:00:32 | | |
| 1 | LOAD TABLE CONVENTIONAL | TEMPSEARCHRESULT | | | | | | | |
|* 2 | COUNT STOPKEY | | | | | | | | |
| 3 | VIEW | | 1073 | 51504 | | 2622 (1)| 00:00:32 | | |
|* 4 | SORT ORDER BY STOPKEY | | 1073 | 124K| | 2622 (1)| 00:00:32 | | |
| 5 | NESTED LOOPS | | 1073 | 124K| | 2621 (1)| 00:00:32 | | |
PLAN_TABLE_OUTPUT
| 6 | NESTED LOOPS | | 531 | 56817 | | 2621 (1)| 00:00:32 | | |
| 7 | NESTED LOOPS | | 531 | 54162 | | 2621 (1)| 00:00:32 | | |
| 8 | NESTED LOOPS | | 543 | 49413 | | 2621 (1)| 00:00:32 | | |
| 9 | TABLE ACCESS BY INDEX ROWID | SUSER | 1 | 10 | | 1 (0)| 00:00:01 | | |
|* 10 | INDEX UNIQUE SCAN | IX_SUSER | 1 | | | 0 (0)| 00:00:01 | | |
| 11 | PARTITION RANGE SINGLE | | 543 | 43983 | | 2621 (1)| 00:00:32 | 2 | 2 |
|* 12 | TABLE ACCESS BY LOCAL INDEX ROWID| RMESG | 543 | 43983 | | 2621 (1)| 00:00:32 | 2 | 2 |
| 13 | BITMAP CONVERSION TO ROWIDS | | | | | | | | |
| 14 | BITMAP AND | | | | | | | | |
| 15 | BITMAP CONVERSION FROM ROWIDS | | | | | | | | |
|* 16 | INDEX RANGE SCAN | IX_SENDER | 25070 | | | 894 (1)| 00:00:11 | 2 | 2 |
PLAN_TABLE_OUTPUT
| 17 | BITMAP CONVERSION FROM ROWIDS | | | | | | | | |
| 18 | SORT ORDER BY | | | | 408K| | | | |
|* 19 | INDEX RANGE SCAN | IX_RMESG | 25070 | | | 1405 (1)| 00:00:17 | 2 | 2 |
|* 20 | INDEX UNIQUE SCAN | PK_SUNITUSERGROUP | 1 | 11 | | 0 (0)| 00:00:01 | | |
|* 21 | INDEX UNIQUE SCAN | PK_SMSGUSERGROUP | 1 | 5 | | 0 (0)| 00:00:01 | | |
|* 22 | INDEX UNIQUE SCAN | PK_SBICUSERGROUP | 2 | 24 | | 0 (0)| 00:00:01 | | |
Predicate Information (identified by operation id):
PLAN_TABLE_OUTPUT
2 - filter(ROWNUM<=5000)
4 - filter(ROWNUM<=5000)
10 - access("SUSER"."USERNAME"="SIDE"."GETMYUSER"())
12 - filter("RMESG"."MESG_NATURE"='FINANCIAL_MSG' AND "RMESG"."MESG_FRMT_NAME"='Swift')
16 - access("RMESG"."MESG_SENDER_X1"='SOGEFRPPGSS')
19 - access("RMESG"."MESG_CREA_DATE_TIME">=TO_DATE(' 2012-01-17 10:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
"RMESG"."MESG_TYPE"='548' AND "RMESG"."MESG_CREA_DATE_TIME"<=TO_DATE(' 2012-01-17 13:00:00', 'syyyy-mm-dd hh24:mi:ss'))
filter("RMESG"."MESG_TYPE"='548' AND "RMESG"."MESG_CREA_DATE_TIME"<=TO_DATE(' 2012-01-17 13:00:00', 'syyyy-mm-dd
hh24:mi:ss') AND "RMESG"."MESG_CREA_DATE_TIME">=TO_DATE(' 2012-01-17 10:00:00', 'syyyy-mm-dd hh24:mi:ss'))
20 - access("X_INST0_UNIT_NAME"="UNIT" AND "SUSER"."GROUPID"="SUNITUSERGROUP"."GROUPID")
21 - access("X_CATEGORY"="CATEGORY" AND "SUSER"."GROUPID"="SMSGUSERGROUP"."GROUPID")
PLAN_TABLE_OUTPUT
22 - access("X_OWN_LT"="BICCODE" AND "SUSER"."GROUPID"="SBICUSERGROUP"."GROUPID")
45 rows selected.
Table Structure TEMPSEARCHRESULT
CREATE GLOBAL TEMPORARY TABLE TEMPSEARCHRESULT
T_AID NUMBER(3),
T_UMIDL NUMBER(10),
T_UMIDH NUMBER(10),
X_CREA_DATE_TIME_MESG DATE
ON COMMIT PRESERVE ROWS
NOCACHE;
CREATE INDEX SIDE.TEMP_SEARCH_INDEX ON SIDE.TEMPSEARCHRESULT
(T_AID, T_UMIDL, T_UMIDH, X_CREA_DATE_TIME_MESG);
Again Thank you For your amazing Answer.
For indexes it's a balance. Check this query which is Simple
Select * from RMESGI generated Explain Plan for it to see effect of indexes .
PLAN_TABLE_OUTPUT
Plan hash value: 1686435785
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | Pstart| Pstop |
| 0 | SELECT STATEMENT | | 11M| 8920M| 376K (1)| 01:15:20 | | |
| 1 | PARTITION RANGE ALL| | 11M| 8920M| 376K (1)| 01:15:20 | 1 | 12 |
| 2 | TABLE ACCESS FULL | RMESG | 11M| 8920M| 376K (1)| 01:15:20 | 1 | 12 |
---------------------------------------------------------------------------------------------1:15:20 For table access and Full Scan Also , I generate new Indexes on the table like the following
CREATE TABLE RMESG(
aid NUMBER(3) NOT NULL,
mesg_s_umidl NUMBER(10) NOT NULL,
mesg_s_umidh NUMBER(10) NOT NULL,
mesg_validation_requested CHAR(18) NOT NULL,
mesg_validation_passed CHAR(18) NOT NULL,
mesg_class CHAR(16) NOT NULL,
mesg_is_text_readonly NUMBER(1) NOT NULL,
mesg_is_delete_inhibited NUMBER(1) NOT NULL,
mesg_is_text_modified NUMBER(1) NOT NULL,
mesg_is_partial NUMBER(1) NOT NULL,
mesg_crea_mpfn_name CHAR(24) NOT NULL,
mesg_crea_rp_name CHAR(24) NOT NULL,
mesg_crea_oper_nickname CHAR(151) NOT NULL,
mesg_crea_date_time DATE NOT NULL,
mesg_mod_oper_nickname CHAR(151) NOT NULL,
mesg_mod_date_time DATE NOT NULL,
mesg_frmt_name VARCHAR2(17) NOT NULL,
mesg_nature CHAR(14) NOT NULL,
mesg_sender_x1 CHAR(11) NOT NULL,
mesg_sender_corr_type VARCHAR2(24) NOT NULL,
mesg_uumid VARCHAR2(50) NOT NULL,
mesg_uumid_suffix NUMBER(10) NOT NULL,
x_own_lt CHAR(8) NOT NULL,
x_inst0_unit_name VARCHAR2(32) default 'NONE' NOT NULL,
x_category CHAR(1) NOT NULL,
archived NUMBER(1) NOT NULL,
restored NUMBER(1) NOT NULL,
mesg_related_s_umid CHAR(16) NULL,
mesg_status CHAR(12) NULL,
mesg_crea_appl_serv_name CHAR(24) NULL,
mesg_verf_oper_nickname CHAR(151) NULL,
mesg_data_last NUMBER(10) NULL,
mesg_token NUMBER(10) NULL,
mesg_batch_reference VARCHAR2(46) NULL,
mesg_cas_sender_reference VARCHAR2(40) NULL,
mesg_cas_target_rp_name VARCHAR2(20) NULL,
mesg_ccy_amount VARCHAR2(501) NULL,
mesg_copy_service_id VARCHAR2(4) NULL,
mesg_data_keyword1 VARCHAR2(80) NULL,
mesg_data_keyword2 VARCHAR2(80) NULL,
mesg_data_keyword3 VARCHAR2(80) NULL,
mesg_delv_overdue_warn_req NUMBER(1) NULL,
mesg_fin_ccy_amount VARCHAR2(24) NULL,
mesg_fin_value_date CHAR(6) NULL,
mesg_is_live NUMBER(1) NULL,
mesg_is_retrieved NUMBER(1) NULL,
mesg_mesg_user_group VARCHAR2(24) NULL,
mesg_network_appl_ind CHAR(3) NULL,
mesg_network_delv_notif_req NUMBER(1) NULL,
mesg_network_obso_period NUMBER(10) NULL,
mesg_network_priority CHAR(12) NULL,
mesg_possible_dup_creation VARCHAR2(8) NULL,
mesg_receiver_alia_name VARCHAR2(32) NULL,
mesg_receiver_swift_address CHAR(12) NULL,
mesg_recovery_accept_info VARCHAR2(80) NULL,
mesg_rel_trn_ref VARCHAR2(80) NULL,
mesg_release_info VARCHAR2(32) NULL,
mesg_security_iapp_name VARCHAR2(80) NULL,
mesg_security_required NUMBER(1) NULL,
mesg_sender_x2 VARCHAR2(21) NULL,
mesg_sender_x3 VARCHAR2(21) NULL,
mesg_sender_x4 VARCHAR2(21) NULL,
mesg_sender_branch_info VARCHAR2(71) NULL,
mesg_sender_city_name VARCHAR2(36) NULL,
mesg_sender_ctry_code VARCHAR2(3) NULL,
mesg_sender_ctry_name VARCHAR2(71) NULL,
mesg_sender_institution_name VARCHAR2(106) NULL,
mesg_sender_location VARCHAR2(106) NULL,
mesg_sender_swift_address CHAR(12) NULL,
mesg_sub_format VARCHAR2(6) NULL,
mesg_syntax_table_ver VARCHAR2(8) NULL,
mesg_template_name VARCHAR2(32) NULL,
mesg_trn_ref VARCHAR2(16) NULL,
mesg_type CHAR(3) NULL,
mesg_user_issued_as_pde NUMBER(1) NULL,
mesg_user_priority_code CHAR(4) NULL,
mesg_user_reference_text VARCHAR2(30) NULL,
mesg_zz41_is_possible_dup NUMBER(1) NULL,
x_fin_ccy CHAR(3) NULL,
x_fin_amount NUMBER(21,4) NULL,
x_fin_value_date DATE NULL,
x_fin_ocmt_ccy CHAR(3) NULL,
x_fin_ocmt_amount NUMBER(21,4) NULL,
x_receiver_x1 CHAR(11) NULL,
x_receiver_x2 VARCHAR2(21) NULL,
x_receiver_x3 VARCHAR2(21) NULL,
x_receiver_x4 VARCHAR2(21) NULL,
last_update DATE NULL,
set_id NUMBER(10) NULL,
mesg_requestor_dn VARCHAR2(101) NULL,
mesg_service VARCHAR2(31) NULL,
mesg_request_type VARCHAR2(31) NULL,
mesg_identifier VARCHAR2(31) NULL,
mesg_xml_query_ref1 VARCHAR2(101) NULL,
mesg_xml_query_ref2 VARCHAR2(101) NULL,
mesg_xml_query_ref3 VARCHAR2(101) NULL,
mesg_appl_sender_reference VARCHAR2(51) NULL,
mesg_payload_type VARCHAR2(31) NULL,
mesg_sign_digest_reference VARCHAR2(41) NULL,
mesg_sign_digest_value VARCHAR2(51) NULL,
mesg_use_pki_signature NUMBER(1) NULL
PARTITION BY RANGE(MESG_CREA_DATE_TIME) (
PARTITION SIDE_MIN VALUES LESS THAN (TO_DATE(20000101, 'YYYYMMDD')) TABLESPACE TBS_SIDEDB_DA_01);
CREATE UNIQUE INDEX SIDE.IX_PK_RMESG on SIDE.RMESG (AID, MESG_S_UMIDH, MESG_S_UMIDL, MESG_CREA_DATE_TIME) LOCAL;
ALTER TABLE SIDE.RMESG ADD CONSTRAINT IX_PK_RMESG PRIMARY KEY (AID, MESG_S_UMIDH, MESG_S_UMIDL, MESG_CREA_DATE_TIME) USING INDEX SIDE.IX_PK_RMESG;
CREATE INDEX SIDE.ix_rmesg_cassender ON SIDE.rmesg (MESG_CAS_SENDER_REFERENCE) LOCAL;
CREATE INDEX SIDE.ix_rmesg_creationdate ON SIDE.rmesg (MESG_CREA_DATE_TIME) LOCAL;
CREATE INDEX SIDE.ix_rmesg_trnref ON SIDE.rmesg (MESG_TRN_REF) LOCAL;
CREATE INDEX SIDE.ix_rmesg_uumid ON SIDE.rmesg (MESG_UUMID, MESG_UUMID_SUFFIX) LOCAL;
CREATE INDEX SIDE.IX_UNIT_NAME_RMESG on RMESG(mesg_crea_date_time,X_INST0_UNIT_NAME) LOCAL;
CREATE INDEX SIDE.IX_RMESG on RMESG(mesg_crea_date_time ,mesg_type,x_fin_ccy) LOCAL;
CREATE INDEX SIDE.IX_NAME_FORMAT_TYPE_RMESG on RMESG(mesg_frmt_name,mesg_sub_format,mesg_type,mesg_crea_date_time ) LOCAL;same Explain Plan Same Result .
I always remember TOM Quote "full scans are not evil, indexes are not good"
Which Mean Something Wrong Goes with Indexes , the partition depend on MESG_CREA_DATE_TIME Column I create Index for this column but same explain plan Appear every time. With Same Time.
Thank you
Osama
Similar Messages
-
Explain plan for same query in three databases
Hi,
We have three databases dev, uat and test, all have same init parameters and almost same data. We are running a query which runs long on dev and on uat and test it runs very fast, the explain plan on uat and test shows a cost of around 4000 but on dev the cost is 20000. Statistics were collected on three instances 2 days ago and the objects are also same.
My question is what else should I look for this optimizer behaviour? the database version is 10.2.0.3.
Please help.
Thanks
Clinuser627471 wrote:
Hi,
We have three databases dev, uat and test, all have same init parameters and almost same data. We are running a query which runs long on dev and on uat and test it runs very fast, the explain plan on uat and test shows a cost of around 4000 but on dev the cost is 20000. Statistics were collected on three instances 2 days ago and the objects are also same.
My question is what else should I look for this optimizer behaviour? the database version is 10.2.0.3.
Please help.
Thanks
Clinpost both EXPLAIN PLAN here -
Same query is taking different times in two databses.
Both dababases are similar being refreshed from one.
Below are the the explain plan from both queries.
Can anything be conclusive from this information.
Second explain plan is for a faster execution.
SELECT STATEMENT ALL_ROWSCost: 245,393
18 PX COORDINATOR
17 PX SEND QC (RANDOM) PARALLEL_TO_SERIAL SYS.:TQ10003 Cost: 245,393 Bytes: 735,679,824 Cardinality: 8,359,998
16 HASH GROUP BY PARALLEL_COMBINED_WITH_PARENT Cost: 245,393 Bytes: 735,679,824 Cardinality: 8,359,998
15 PX RECEIVE PARALLEL_COMBINED_WITH_PARENT Cost: 198,164 Bytes: 735,679,824 Cardinality: 8,359,998
14 PX SEND HASH PARALLEL_TO_PARALLEL SYS.:TQ10002 Cost: 198,164 Bytes: 735,679,824 Cardinality: 8,359,998
13 HASH JOIN PARALLEL_COMBINED_WITH_PARENT Cost: 198,164 Bytes: 735,679,824 Cardinality: 8,359,998
4 BUFFER SORT PARALLEL_COMBINED_WITH_CHILD
3 PX RECEIVE PARALLEL_COMBINED_WITH_PARENT Cost: 15 Bytes: 129,220 Cardinality: 2,485
2 PX SEND BROADCAST PARALLEL_FROM_SERIAL SYS.:TQ10000 Cost: 15 Bytes: 129,220 Cardinality: 2,485
1 TABLE ACCESS FULL TABLE myschema.team Cost: 15 Bytes: 129,220 Cardinality: 2,485
12 TABLE ACCESS BY LOCAL INDEX ROWID TABLE PARALLEL_COMBINED_WITH_PARENT myschema.mytable Cost: 18,117 Bytes: 4,777,136 Cardinality: 183,736
11 NESTED LOOPS PARALLEL_COMBINED_WITH_PARENT Cost: 198,125 Bytes: 300,959,928 Cardinality: 8,359,998
8 BUFFER SORT PARALLEL_COMBINED_WITH_CHILD
7 PX RECEIVE PARALLEL_COMBINED_WITH_PARENT
6 PX SEND BROADCAST PARALLEL_FROM_SERIAL SYS.:TQ10001
5 TABLE ACCESS FULL TABLE myschema.dim Cost: 12 Bytes: 450 Cardinality: 45
10 PX PARTITION RANGE ITERATOR PARALLEL_COMBINED_WITH_CHILD Cost: 38 Cardinality: 183,736 Partition #: 17
9 INDEX RANGE SCAN INDEX PARALLEL_COMBINED_WITH_PARENT myschema.IDX_TDATE_DC_FLAG Cost: 38 Cardinality: 183,736 Partition #: 17
SELECT STATEMENT CHOOSECost: 2,830
14 PX COORDINATOR
13 PX SEND QC (RANDOM) PARALLEL_TO_SERIAL SYS.:TQ10003 Cost: 2,830 Bytes: 21,327,392 Cardinality: 288,208
12 HASH GROUP BY PARALLEL_COMBINED_WITH_PARENT Cost: 2,830 Bytes: 21,327,392 Cardinality: 288,208
11 PX RECEIVE PARALLEL_COMBINED_WITH_PARENT Cost: 2,828 Bytes: 21,327,392 Cardinality: 288,208
10 PX SEND HASH PARALLEL_TO_PARALLEL SYS.:TQ10002 Cost: 2,828 Bytes: 21,327,392 Cardinality: 288,208
9 HASH JOIN BUFFERED PARALLEL_COMBINED_WITH_PARENT Cost: 2,828 Bytes: 21,327,392 Cardinality: 288,208
4 BUFFER SORT PARALLEL_COMBINED_WITH_CHILD
3 PX RECEIVE PARALLEL_COMBINED_WITH_PARENT Cost: 19 Bytes: 129,272 Cardinality: 2,486
2 PX SEND HASH PARALLEL_FROM_SERIAL SYS.:TQ10000 Cost: 19 Bytes: 129,272 Cardinality: 2,486
1 TABLE ACCESS FULL TABLE myschema.team Cost: 19 Bytes: 129,272 Cardinality: 2,486
8 PX RECEIVE PARALLEL_COMBINED_WITH_PARENT Cost: 2,808 Bytes: 6,340,576 Cardinality: 288,208
7 PX SEND HASH PARALLEL_TO_PARALLEL SYS.:TQ10001 Cost: 2,808 Bytes: 6,340,576 Cardinality: 288,208
6 PX BLOCK ITERATOR PARALLEL_COMBINED_WITH_CHILD Cost: 2,808 Bytes: 6,340,576 Cardinality: 288,208 Partition #: 13 Partitions accessed #1 - #5
5 MAT_VIEW REWRITE ACCESS FULL MAT_VIEW REWRITE PARALLEL_COMBINED_WITH_PARENT myschema.matv_2 Cost: 2,808 Bytes: 6,340,576 Cardinality: 288,208 Partition #: 13 Partitions accessed
Edited by: user610910 on Feb 13, 2009 5:12 AMSELECT STATEMENT CHOOSE Cost: 2,830
14 PX COORDINATOR
13 PX SEND QC (RANDOM) PARALLEL_TO_SERIAL SYS.:TQ10003 Cost: 2,830 Bytes: 21,327,392 Cardinality: 288,208
12 HASH GROUP BY PARALLEL_COMBINED_WITH_PARENT Cost: 2,830 Bytes: 21,327,392 Cardinality: 288,208
11 PX RECEIVE PARALLEL_COMBINED_WITH_PARENT Cost: 2,828 Bytes: 21,327,392 Cardinality: 288,208
10 PX SEND HASH PARALLEL_TO_PARALLEL SYS.:TQ10002 Cost: 2,828 Bytes: 21,327,392 Cardinality: 288,208
9 HASH JOIN BUFFERED PARALLEL_COMBINED_WITH_PARENT Cost: 2,828 Bytes: 21,327,392 Cardinality: 288,208
4 BUFFER SORT PARALLEL_COMBINED_WITH_CHILD
3 PX RECEIVE PARALLEL_COMBINED_WITH_PARENT Cost: 19 Bytes: 129,272 Cardinality: 2,486
2 PX SEND HASH PARALLEL_FROM_SERIAL SYS.:TQ10000 Cost: 19 Bytes: 129,272 Cardinality: 2,486
1 TABLE ACCESS FULL TABLE MYSCHEMA.TEAM Cost: 19 Bytes: 129,272 Cardinality: 2,486
8 PX RECEIVE PARALLEL_COMBINED_WITH_PARENT Cost: 2,808 Bytes: 6,340,576 Cardinality: 288,208
7 PX SEND HASH PARALLEL_TO_PARALLEL SYS.:TQ10001 Cost: 2,808 Bytes: 6,340,576 Cardinality: 288,208
6 PX BLOCK ITERATOR PARALLEL_COMBINED_WITH_CHILD Cost: 2,808 Bytes: 6,340,576 Cardinality: 288,208 Partition #: 13 Partitions accessed #1 - #5
5 MAT_VIEW REWRITE ACCESS FULL MAT_VIEW REWRITE PARALLEL_COMBINED_WITH_PARENT MYSCHEMA.MATVW Cost: 2,808 Bytes: 6,340,576 Cardinality: 288,208 Partition #: 13 Partitions accessed #1 - #5
SELECT STATEMENT ALL_ROWSCost: 245,393
18 PX COORDINATOR
17 PX SEND QC (RANDOM) PARALLEL_TO_SERIAL SYS.:TQ10003 Cost: 245,393 Bytes: 735,679,824 Cardinality: 8,359,998
16 HASH GROUP BY PARALLEL_COMBINED_WITH_PARENT Cost: 245,393 Bytes: 735,679,824 Cardinality: 8,359,998
15 PX RECEIVE PARALLEL_COMBINED_WITH_PARENT Cost: 198,164 Bytes: 735,679,824 Cardinality: 8,359,998
14 PX SEND HASH PARALLEL_TO_PARALLEL SYS.:TQ10002 Cost: 198,164 Bytes: 735,679,824 Cardinality: 8,359,998
13 HASH JOIN PARALLEL_COMBINED_WITH_PARENT Cost: 198,164 Bytes: 735,679,824 Cardinality: 8,359,998
4 BUFFER SORT PARALLEL_COMBINED_WITH_CHILD
3 PX RECEIVE PARALLEL_COMBINED_WITH_PARENT Cost: 15 Bytes: 129,220 Cardinality: 2,485
2 PX SEND BROADCAST PARALLEL_FROM_SERIAL SYS.:TQ10000 Cost: 15 Bytes: 129,220 Cardinality: 2,485
1 TABLE ACCESS FULL TABLE MYSCHEMA.TEAM Cost: 15 Bytes: 129,220 Cardinality: 2,485
12 TABLE ACCESS BY LOCAL INDEX ROWID TABLE PARALLEL_COMBINED_WITH_PARENT MYSCHEMA.MY_TABLE Cost: 18,117 Bytes: 4,777,136 Cardinality: 183,736
11 NESTED LOOPS PARALLEL_COMBINED_WITH_PARENT Cost: 198,125 Bytes: 300,959,928 Cardinality: 8,359,998
8 BUFFER SORT PARALLEL_COMBINED_WITH_CHILD
7 PX RECEIVE PARALLEL_COMBINED_WITH_PARENT
6 PX SEND BROADCAST PARALLEL_FROM_SERIAL SYS.:TQ10001
5 TABLE ACCESS FULL TABLE MYSCHEMA.DIM Cost: 12 Bytes: 450 Cardinality: 45
10 PX PARTITION RANGE ITERATOR PARALLEL_COMBINED_WITH_CHILD Cost: 38 Cardinality: 183,736 Partition #: 17
9 INDEX RANGE SCAN INDEX PARALLEL_COMBINED_WITH_PARENT MYSCHEMA.MY_IDX Cost: 38 Cardinality: 183,736 Partition #: 17 I think this one looks better. -
Different query plans for same query on same DB
Hi,
HP-Ux
Oracle Database 10.2.0.4
We are experiencing a strange issue. One of our night batch process is taking invariably more time to execute. The process does not consume time at 1 particular query. Everyday we find a new query taking more time than previous execution.
Now, when we see the explain plan while the query is executing, we see NESTED LOOP SEMI (with improper index being used). At the same time if we take the query and see the explain plan seperately, we get HASH JOIN SEMI (with proper index being used). Also, if we execute this query with the values as in procedure, it finishes within mili seconds (as it should).
The tables and indexes are analyzed everyday before the process starts.
Can anybody explain, why the same query shows two different plans at the same time ?
Thanks a lot in advance :)Aalap Sharma wrote:
HP-Ux
Oracle Database 10.2.0.4
We are experiencing a strange issue. One of our night batch process is taking invariably more time to execute. The process does not consume time at 1 particular query. Everyday we find a new query taking more time than previous execution.
Now, when we see the explain plan while the query is executing, we see NESTED LOOP SEMI (with improper index being used). At the same time if we take the query and see the explain plan seperately, we get HASH JOIN SEMI (with proper index being used). Also, if we execute this query with the values as in procedure, it finishes within mili seconds (as it should).
The tables and indexes are analyzed everyday before the process starts.
Can anybody explain, why the same query shows two different plans at the same time ?As already mentioned, you might hit typical issues in 10.2: The column workload based SIZE AUTO statistics gathering feature and/or bind variable peeking.
How do you analyze the tables and indexes before the process starts? Can you share the exact call with parameters?
Some ideas:
1. If your process is "new", then the column workload monitoring of the database might recognize the column usage pattern and generate histograms on some of your columns. It might take a while until the workload has been established so that all columns got histograms according to the workload (It needs a certain number of usages/executions before the workload is registered as relevant). Until then you might get different execution plans each time the statistics are refreshed due to new histograms being added.
2. If the default 10g statistics gathering job is active, it might gather different statistics during the night than your individual job that runs prior to the processing. This could be one possible explanation why you get different plans on the next day.
3. "Bind Variable Peeking" is possibly another issue you might run into. How do you test the query so that you get a different, well performing plan? Does your original statement use bind variables? Do you use literals to reproduce? Note that using EXPLAIN PLAN on statements involving bind variables can lie, since it doesn't perform bind variable peeking by default.
Regards,
Randolf
Oracle related stuff blog:
http://oracle-randolf.blogspot.com/
SQLTools++ for Oracle (Open source Oracle GUI for Windows):
http://www.sqltools-plusplus.org:7676/
http://sourceforge.net/projects/sqlt-pp/ -
Explain plans differ: same query, cloned databases.
oracle 10.2.0.2.0
solaris 10
same query, different databases (cloned from same source), different explain plans.
db parameters are identical.
Any ideas?
DB1 (production)
SQL> explain plan for
2 SELECT V__101.*, SHAPE.fid,SHAPE.numofpts,SHAPE.entity,SHAPE.points,
3 SHAPE.rowid
4 FROM
5 (SELECT b.OBJECTID,b.CRT_DTE,b.CRT_SRC_CDE,b.CRT_AQUI_MTHD_CDE,b.CRT_USR_ID,
6 b.ADT_ACTN_CDE,b.ADT_ACTN_DTE,b.ADT_ACTN_SRC_CDE,b.ADT_ACTN_USR_ID,
7 b.TP_SITE_POINT_ID,b.SHAPE,b.SRC_ID,b.SRC_CRT_DTE,b.SRC_TYPE_CDE,
8 b.LCTN_STAT_CDE,b.FRZN_LCTN_IND,b.TP_NOTES FROM AMSOWNER.TP_SITE_POINT b
9 WHERE b.OBJECTID NOT IN (SELECT /*+ HASH_AJ */ SDE_DELETES_ROW_ID FROM
10 AMSOWNER.D101 WHERE DELETED_AT IN (SELECT l.lineage_id FROM
SDE.state_lineages l WHERE l.lineage_name = :source_lineage_name AND
11 12 l.lineage_id <= :source_state_id) AND SDE_STATE_ID = :"SYS_B_0") UNION ALL
SELECT a.OBJECTID,a.CRT_DTE,a.CRT_SRC_CDE,a.CRT_AQUI_MTHD_CDE,a.CRT_USR_ID,
13 14 a.ADT_ACTN_CDE,a.ADT_ACTN_DTE,a.ADT_ACTN_SRC_CDE,a.ADT_ACTN_USR_ID,
15 a.TP_SITE_POINT_ID,a.SHAPE,a.SRC_ID,a.SRC_CRT_DTE,a.SRC_TYPE_CDE,
16 a.LCTN_STAT_CDE,a.FRZN_LCTN_IND,a.TP_NOTES FROM AMSOWNER.A101 a,
17 SDE.state_lineages SL WHERE (a.OBJECTID, a.SDE_STATE_ID) NOT IN (SELECT /*+
18 HASH_AJ */ SDE_DELETES_ROW_ID,SDE_STATE_ID FROM AMSOWNER.D101 WHERE
19 DELETED_AT IN (SELECT l.lineage_id FROM SDE.state_lineages l WHERE
20 l.lineage_name = :source_lineage_name AND l.lineage_id <= :source_state_id)
21 AND SDE_STATE_ID > :"SYS_B_1") AND a.SDE_STATE_ID = SL.lineage_id AND
22 SL.lineage_name = :source_lineage_name AND SL.lineage_id <=
23 :source_state_id ) V__101 , AMSOWNER.F15 SHAPE where SHAPE.FID(+) =
24 V__101.SHAPE;
Explained.
SQL> @?/rdbms/admin/utlxplp.sql;
PLAN_TABLE_OUTPUT
Plan hash value: 254376361
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 113K| 49M| | 2926 (1)| 00:00:41 |
|* 1 | HASH JOIN RIGHT OUTER | | 113K| 49M| 17M| 2926 (1)| 00:00:41 |
| 2 | TABLE ACCESS FULL | F15 | 113K| 15M| | 344 (2)| 00:00:05 |
| 3 | VIEW | | 113K| 34M| | 331 (2)| 00:00:05 |
| 4 | UNION-ALL | | | | | | |
|* 5 | HASH JOIN RIGHT ANTI | | 113K| 8948K| | 332 (2)| 00:00:05 |
| 6 | VIEW | VW_NSO_1 | 1 | 13 | | 2 (0)| 00:00:01 |
| 7 | NESTED LOOPS | | 1 | 50 | | 2 (0)| 00:00:01 |
| 8 | TABLE ACCESS BY INDEX ROWID| D101 | 1 | 39 | | 1 (0)| 00:00:01 |
|* 9 | INDEX SKIP SCAN | D101_IDX1 | 1 | | | 1 (0)| 00:00:01 |
|* 10 | INDEX UNIQUE SCAN | LINEAGES_PK | 1 | 11 | | 1 (0)| 00:00:01 |
| 11 | TABLE ACCESS FULL | TP_SITE_POINT | 113K| 7512K| | 329 (2)| 00:00:05 |
|* 12 | HASH JOIN ANTI | | 1 | 375 | | 5 (20)| 00:00:01 |
| 13 | NESTED LOOPS | | 1 | 349 | | 2 (0)| 00:00:01 |
| 14 | TABLE ACCESS BY INDEX ROWID | A101 | 1 | 338 | | 1 (0)| 00:00:01 |
|* 15 | INDEX RANGE SCAN | A101_STATEID_IX1 | 1 | | | 1 (0)| 00:00:01 |
|* 16 | INDEX UNIQUE SCAN | LINEAGES_PK | 1 | 11 | | 1 (0)| 00:00:01 |
|* 17 | VIEW | VW_NSO_2 | 1 | 26 | | 2 (0)| 00:00:01 |
| 18 | NESTED LOOPS | | 1 | 50 | | 2 (0)| 00:00:01 |
|* 19 | INDEX FULL SCAN | D101_PK | 1 | 39 | | 1 (0)| 00:00:01 |
|* 20 | INDEX UNIQUE SCAN | LINEAGES_PK | 1 | 11 | | 1 (0)| 00:00:01 |
Predicate Information (identified by operation id):
1 - access("SHAPE"."FID"(+)="V__101"."SHAPE")
5 - access("B"."OBJECTID"="$nso_col_1")
9 - access("SDE_STATE_ID"=TO_NUMBER(:SYS_B_0))
filter("SDE_STATE_ID"=TO_NUMBER(:SYS_B_0))
10 - access("L"."LINEAGE_NAME"=TO_NUMBER(:SOURCE_LINEAGE_NAME) AND "DELETED_AT"="L"."LINEAGE_ID")
filter("L"."LINEAGE_ID"<=TO_NUMBER(:SOURCE_STATE_ID))
12 - access("A"."OBJECTID"="$nso_col_1" AND "A"."SDE_STATE_ID"="$nso_col_2")
15 - access("A"."SDE_STATE_ID"<=TO_NUMBER(:SOURCE_STATE_ID))
16 - access("SL"."LINEAGE_NAME"=TO_NUMBER(:SOURCE_LINEAGE_NAME) AND
"A"."SDE_STATE_ID"="SL"."LINEAGE_ID")
filter("SL"."LINEAGE_ID"<=TO_NUMBER(:SOURCE_STATE_ID))
17 - filter("$nso_col_2"<=TO_NUMBER(:SOURCE_STATE_ID))
19 - access("SDE_STATE_ID">TO_NUMBER(:SYS_B_1))
filter("SDE_STATE_ID">TO_NUMBER(:SYS_B_1))
20 - access("L"."LINEAGE_NAME"=TO_NUMBER(:SOURCE_LINEAGE_NAME) AND "DELETED_AT"="L"."LINEAGE_ID")
filter("L"."LINEAGE_ID"<=TO_NUMBER(:SOURCE_STATE_ID))
47 rows selected.DB2 (staging)
SQL> explain plan for
2 SELECT V__101.*, SHAPE.fid,SHAPE.numofpts,SHAPE.entity,SHAPE.points,
SHAPE.rowid
FROM
3 4 5 (SELECT b.OBJECTID,b.CRT_DTE,b.CRT_SRC_CDE,b.CRT_AQUI_MTHD_CDE,b.CRT_USR_ID,
b.ADT_ACTN_CDE,b.ADT_ACTN_DTE,b.ADT_ACTN_SRC_CDE,b.ADT_ACTN_USR_ID,
6 7 b.TP_SITE_POINT_ID,b.SHAPE,b.SRC_ID,b.SRC_CRT_DTE,b.SRC_TYPE_CDE,
8 b.LCTN_STAT_CDE,b.FRZN_LCTN_IND,b.TP_NOTES FROM AMSOWNER.TP_SITE_POINT b
9 WHERE b.OBJECTID NOT IN (SELECT /*+ HASH_AJ */ SDE_DELETES_ROW_ID FROM
10 AMSOWNER.D101 WHERE DELETED_AT IN (SELECT l.lineage_id FROM
11 SDE.state_lineages l WHERE l.lineage_name = :source_lineage_name AND
12 l.lineage_id <= :source_state_id) AND SDE_STATE_ID = :"SYS_B_0") UNION ALL
13 SELECT a.OBJECTID,a.CRT_DTE,a.CRT_SRC_CDE,a.CRT_AQUI_MTHD_CDE,a.CRT_USR_ID,
14 a.ADT_ACTN_CDE,a.ADT_ACTN_DTE,a.ADT_ACTN_SRC_CDE,a.ADT_ACTN_USR_ID,
15 a.TP_SITE_POINT_ID,a.SHAPE,a.SRC_ID,a.SRC_CRT_DTE,a.SRC_TYPE_CDE,
16 a.LCTN_STAT_CDE,a.FRZN_LCTN_IND,a.TP_NOTES FROM AMSOWNER.A101 a,
17 SDE.state_lineages SL WHERE (a.OBJECTID, a.SDE_STATE_ID) NOT IN (SELECT /*+
HASH_AJ */ SDE_DELETES_ROW_ID,SDE_STATE_ID FROM AMSOWNER.D101 WHERE
18 19 DELETED_AT IN (SELECT l.lineage_id FROM SDE.state_lineages l WHERE
20 l.lineage_name = :source_lineage_name AND l.lineage_id <= :source_state_id)
21 AND SDE_STATE_ID > :"SYS_B_1") AND a.SDE_STATE_ID = SL.lineage_id AND
22 SL.lineage_name = :source_lineage_name AND SL.lineage_id <=
23 :source_state_id ) V__101 , AMSOWNER.F15 SHAPE where SHAPE.FID(+) =
24 V__101.SHAPE;
Explained.
SQL> @?/rdbms/admin/utlxplp.sql;
PLAN_TABLE_OUTPUT
Plan hash value: 4287458713
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 145 | 68150 | 401 (1)| 00:00:06 |
| 1 | NESTED LOOPS OUTER | | 145 | 68150 | 401 (1)| 00:00:06 |
| 2 | VIEW | | 145 | 47125 | 328 (1)| 00:00:05 |
| 3 | UNION-ALL | | | | | |
|* 4 | HASH JOIN ANTI | | 144 | 10224 | 324 (1)| 00:00:05 |
| 5 | TABLE ACCESS FULL | TP_SITE_POINT | 145 | 8410 | 322 (1)| 00:00:05 |
| 6 | VIEW | VW_NSO_1 | 1 | 13 | 2 (0)| 00:00:01 |
| 7 | NESTED LOOPS | | 1 | 50 | 2 (0)| 00:00:01 |
|* 8 | TABLE ACCESS BY INDEX ROWID| D101 | 1 | 39 | 1 (0)| 00:00:01 |
|* 9 | INDEX SKIP SCAN | D101_IDX1 | 1 | | 1 (0)| 00:00:01 |
|* 10 | INDEX UNIQUE SCAN | LINEAGES_PK | 1 | 11 | 1 (0)| 00:00:01 |
|* 11 | FILTER | | | | | |
| 12 | NESTED LOOPS | | 1 | 349 | 2 (0)| 00:00:01 |
| 13 | TABLE ACCESS BY INDEX ROWID | A101 | 1 | 338 | 1 (0)| 00:00:01 |
|* 14 | INDEX RANGE SCAN | A101_STATEID_IX1 | 1 | | 1 (0)| 00:00:01 |
|* 15 | INDEX UNIQUE SCAN | LINEAGES_PK | 1 | 11 | 1 (0)| 00:00:01 |
|* 16 | FILTER | | | | | |
| 17 | NESTED LOOPS | | 1 | 50 | 2 (0)| 00:00:01 |
|* 18 | TABLE ACCESS BY INDEX ROWID| D101 | 1 | 39 | 1 (0)| 00:00:01 |
|* 19 | INDEX RANGE SCAN | D101_IDX1 | 1 | | 1 (0)| 00:00:01 |
|* 20 | INDEX UNIQUE SCAN | LINEAGES_PK | 1 | 11 | 1 (0)| 00:00:01 |
| 21 | TABLE ACCESS BY INDEX ROWID | F15 | 1 | 145 | 1 (0)| 00:00:01 |
|* 22 | INDEX UNIQUE SCAN | F15_UK1 | 1 | | 1 (0)| 00:00:01 |
Predicate Information (identified by operation id):
4 - access("B"."OBJECTID"="$nso_col_1")
8 - filter("DELETED_AT"<=TO_NUMBER(:SOURCE_STATE_ID))
9 - access("SDE_STATE_ID"=TO_NUMBER(:SYS_B_0))
filter("SDE_STATE_ID"=TO_NUMBER(:SYS_B_0))
10 - access("L"."LINEAGE_NAME"=TO_NUMBER(:SOURCE_LINEAGE_NAME) AND
"DELETED_AT"="L"."LINEAGE_ID")
filter("L"."LINEAGE_ID"<=TO_NUMBER(:SOURCE_STATE_ID))
11 - filter( NOT EXISTS (SELECT /*+ HASH_AJ */ 0 FROM "AMSOWNER"."D101"
"D101","SDE"."STATE_LINEAGES" "L" WHERE :B1>TO_NUMBER(:SYS_B_1) AND
"DELETED_AT"="L"."LINEAGE_ID" AND "L"."LINEAGE_NAME"=TO_NUMBER(:SOURCE_LINEAGE_NAME) AND
"L"."LINEAGE_ID"<=TO_NUMBER(:SOURCE_STATE_ID) AND "SDE_STATE_ID"=:B2 AND
"SDE_DELETES_ROW_ID"=:B3 AND "DELETED_AT"<=TO_NUMBER(:SOURCE_STATE_ID) AND
"SDE_STATE_ID">TO_NUMBER(:SYS_B_1)))
14 - access("A"."SDE_STATE_ID"<=TO_NUMBER(:SOURCE_STATE_ID))
15 - access("SL"."LINEAGE_NAME"=TO_NUMBER(:SOURCE_LINEAGE_NAME) AND
"A"."SDE_STATE_ID"="SL"."LINEAGE_ID")
filter("SL"."LINEAGE_ID"<=TO_NUMBER(:SOURCE_STATE_ID))
16 - filter(:B1>TO_NUMBER(:SYS_B_1))
18 - filter("DELETED_AT"<=TO_NUMBER(:SOURCE_STATE_ID))
19 - access("SDE_DELETES_ROW_ID"=:B1 AND "SDE_STATE_ID"=:B2)
filter("SDE_STATE_ID">TO_NUMBER(:SYS_B_1))
20 - access("L"."LINEAGE_NAME"=TO_NUMBER(:SOURCE_LINEAGE_NAME) AND
"DELETED_AT"="L"."LINEAGE_ID")
filter("L"."LINEAGE_ID"<=TO_NUMBER(:SOURCE_STATE_ID))
22 - access("SHAPE"."FID"(+)="V__101"."SHAPE")
58 rows selected.rocr wrote:
oracle 10.2.0.2.0
solaris 10
same query, different databases (cloned from same source), different explain plans.
db parameters are identical.
DB1 (production)
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 113K| 49M| | 2926 (1)| 00:00:41 |DB2 (staging)
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 145 | 68150 | 401 (1)| 00:00:06 |
If you check the execution plans it's quite obvious that the two environments can not be identical. If you have the same (amount of) data, then one of the two estimates is way off. Which one is in the right ballpark, how many rows are returned by the query? The same applies to the remaining operation ids of the plan, which estimate is correct?
It's very likely that the underlying table/index statistics are not the same, and therefore you get different plans.
By the way, you're using bind variables, therefore the output of the EXPLAIN PLAN is only of limited use, since the actual plan at run time might be completely different due to bind variable peeking and potentially histograms created on some of the columns (which is the default in 10g due to the "FOR ALL COLUMNS SIZE AUTO" method_opt default parameter value).
If you haven't disabled the pre-configured statistics collection job that runs every night in 10g, you might get different statistics due to this job already.
Regards,
Randolf
Oracle related stuff blog:
http://oracle-randolf.blogspot.com/
SQLTools++ for Oracle (Open source Oracle GUI for Windows):
http://www.sqltools-plusplus.org:7676/
http://sourceforge.net/projects/sqlt-pp/ -
Why two different explain plan for same objects?
Believe or not there are two different databases, one for processing and one for reporting, plan is show different for same query. Table structure and indexes are same. It's 11G
Thanks
Good explain plan .. works fine..
Plan
SELECT STATEMENT ALL_ROWSCost: 12,775 Bytes: 184 Cardinality: 1
27 SORT UNIQUE Cost: 12,775 Bytes: 184 Cardinality: 1
26 NESTED LOOPS
24 NESTED LOOPS Cost: 12,774 Bytes: 184 Cardinality: 1
22 HASH JOIN Cost: 12,772 Bytes: 178 Cardinality: 1
20 NESTED LOOPS SEMI Cost: 30 Bytes: 166 Cardinality: 1
17 NESTED LOOPS Cost: 19 Bytes: 140 Cardinality: 1
14 NESTED LOOPS OUTER Cost: 16 Bytes: 84 Cardinality: 1
11 VIEW DSSADM. Cost: 14 Bytes: 37 Cardinality: 1
10 NESTED LOOPS
8 NESTED LOOPS Cost: 14 Bytes: 103 Cardinality: 1
6 NESTED LOOPS Cost: 13 Bytes: 87 Cardinality: 1
3 INLIST ITERATOR
2 TABLE ACCESS BY INDEX ROWID TABLE DSSODS.DRV_PS_JOB_FAMILY_TBL Cost: 10 Bytes: 51 Cardinality: 1
1 INDEX RANGE SCAN INDEX DSSODS.DRV_PS_JOB_FAMILY_TBL_CL_SETID Cost: 9 Cardinality: 1
5 TABLE ACCESS BY INDEX ROWID TABLE DSSADM.DIM_JOBCODE Cost: 3 Bytes: 36 Cardinality: 1
4 INDEX RANGE SCAN INDEX DSSADM.STAN_JB_FN_IDX Cost: 2 Cardinality: 1
7 INDEX UNIQUE SCAN INDEX (UNIQUE) DSSODS.DRV_PS_JOBCODE_TBL_SEQ_KEY_RPT Cost: 0 Cardinality: 1
9 TABLE ACCESS BY INDEX ROWID TABLE DSSODS.DRV_PS_JOBCODE_TBL_RPT Cost: 1 Bytes: 16 Cardinality: 1
13 TABLE ACCESS BY INDEX ROWID TABLE DSSODS.DRV_PSXLATITEM_RPT Cost: 2 Bytes: 47 Cardinality: 1
12 INDEX RANGE SCAN INDEX DSSODS.PK_DRV_RIXLATITEM_RPT Cost: 1 Cardinality: 1
16 TABLE ACCESS BY INDEX ROWID TABLE DSSADM.DIM_JOBCODE Cost: 3 Bytes: 56 Cardinality: 1
15 INDEX RANGE SCAN INDEX DSSADM.DIM_JOBCODE_EXPDT1 Cost: 2 Cardinality: 1
19 TABLE ACCESS BY INDEX ROWID TABLE DSSODS.DRV_PS_JOB_RPT Cost: 11 Bytes: 438,906 Cardinality: 16,881
18 INDEX RANGE SCAN INDEX DSSODS.DRV_PS_JOB_JOBCODE_RPT Cost: 2 Cardinality: 8
21 INDEX FAST FULL SCAN INDEX (UNIQUE) DSSADM.Z_PK_JOBCODE_PROMPT_TBL Cost: 12,699 Bytes: 66,790,236 Cardinality: 5,565,853
23 INDEX RANGE SCAN INDEX DSSADM.DIM_PERSON_EMPL_RCD_SEQ_KEY Cost: 1 Cardinality: 1
25 TABLE ACCESS BY INDEX ROWID TABLE DSSADM.DIM_PERSON_EMPL_RCD Cost: 2 Bytes: 6 Cardinality: 1 This bad plan ... show merge join cartesian and full table ..
Plan
SELECT STATEMENT ALL_ROWSCost: 3,585 Bytes: 237 Cardinality: 1
26 SORT UNIQUE Cost: 3,585 Bytes: 237 Cardinality: 1
25 NESTED LOOPS SEMI Cost: 3,584 Bytes: 237 Cardinality: 1
22 NESTED LOOPS Cost: 3,573 Bytes: 211 Cardinality: 1
20 MERGE JOIN CARTESIAN Cost: 2,864 Bytes: 70,446 Cardinality: 354
17 NESTED LOOPS
15 NESTED LOOPS Cost: 51 Bytes: 191 Cardinality: 1
13 NESTED LOOPS OUTER Cost: 50 Bytes: 180 Cardinality: 1
10 HASH JOIN Cost: 48 Bytes: 133 Cardinality: 1
6 NESTED LOOPS
4 NESTED LOOPS Cost: 38 Bytes: 656 Cardinality: 8
2 TABLE ACCESS BY INDEX ROWID TABLE REPORT2.DIM_JOBCODE Cost: 14 Bytes: 448 Cardinality: 8
1 INDEX RANGE SCAN INDEX REPORT2.STAN_PROM_JB_IDX Cost: 6 Cardinality: 95
3 INDEX RANGE SCAN INDEX REPORT2.SETID_JC_IDX Cost: 2 Cardinality: 1
5 TABLE ACCESS BY INDEX ROWID TABLE REPORT2.DIM_JOBCODE Cost: 3 Bytes: 26 Cardinality: 1
9 INLIST ITERATOR
8 TABLE ACCESS BY INDEX ROWID TABLE REPORT2.DRV_PS_JOB_FAMILY_TBL Cost: 10 Bytes: 51 Cardinality: 1
7 INDEX RANGE SCAN INDEX REPORT2.DRV_PS_JOB_FAMILY_TBL_CL_SETID Cost: 9 Cardinality: 1
12 TABLE ACCESS BY INDEX ROWID TABLE REPORT2.DRV_PSXLATITEM_RPT Cost: 2 Bytes: 47 Cardinality: 1
11 INDEX RANGE SCAN INDEX REPORT2.PK_DRV_RIXLATITEM_RPT Cost: 1 Cardinality: 1
14 INDEX UNIQUE SCAN INDEX (UNIQUE) REPORT2.DRV_PS_JOBCODE_TBL_SEQ_KEY_RPT Cost: 0 Cardinality: 1
16 TABLE ACCESS BY INDEX ROWID TABLE REPORT2.DRV_PS_JOBCODE_TBL_RPT Cost: 1 Bytes: 11 Cardinality: 1
19 BUFFER SORT Cost: 2,863 Bytes: 4,295,552 Cardinality: 536,944
18 TABLE ACCESS FULL TABLE REPORT2.DIM_PERSON_EMPL_RCD Cost: 2,813 Bytes: 4,295,552 Cardinality: 536,944
21 INDEX RANGE SCAN INDEX (UNIQUE) REPORT2.Z_PK_JOBCODE_PROMPT_TBL Cost: 2 Bytes: 12 Cardinality: 1
24 TABLE ACCESS BY INDEX ROWID TABLE REPORT2.DRV_PS_JOB_RPT Cost: 11 Bytes: 1,349,920 Cardinality: 51,920
23 INDEX RANGE SCAN INDEX REPORT2.DRV_PS_JOB_JOBCODE_RPT Cost: 2 Cardinality: 8user550024 wrote:
I am really surprise that the stat for good sql are little old. I just computed the states of bad sql so they are uptodate..
There is something terribly wrong..Not necessarily. Just using the default stats collection I've seen a few cases of things suddenly going wrong. As the data increases, it gets closer to an edge case where the inadequacy of the statistics convinces the optimizer to do a wrong plan. To fix, I could just go into dbconsole, set the stats back to a time when they worked, and locked them. In most cases it's definitely better to figure out what is really going on, though, to give the optimizer better information to work with. Aside from the value of learning how to do it, for some cases it's not so simple. Also, many think the default settings of the database statistic collection may be wrong in general (in 10.2.x, at least). So much depends on your application and data that you can't make too many generalizations. You have to look at the evidence and figure it out. There is still a steep learning curve for the tools to look at the evidence. People are here to help with that.
Most of the time it works better than a dumb rule based optimizer, but at the cost of a few situations where people are smarter than computers. It's taken a lot of years to get to this point. -
Explain plan for running query
Hi everyone,
I come to know how to generate explain plan for a given query by giving
Explain plan for select * fro emp;
Consider a query running for 5 hrs in a session and i want to genrate explain plan for that current query in its 4th hour i dont know the sql as well
all the steps by step would be much apppreciated
like finding Current SQL then so on
Thanks
Shareef912856 wrote:
Hi everyone,
I come to know how to generate explain plan for a given query by giving
Explain plan for select * fro emp;
Consider a query running for 5 hrs in a session and i want to genrate explain plan for that current query in its 4th hour i dont know the sql as well
all the steps by step would be much apppreciated
like finding Current SQL then so on
Thanks
ShareefYOu can also use dbms_xplain to generate plan used in v$sql. like for example
SQL>SELECT SQL_ID, CHILD_NUMBER FROM V$SQL WHERE SQL_TEXT LIKE 'select * from em%';
SQL_ID CHILD_NUMBER
6kd5fkqdjb8fu 0
SQL>SELECT * FROM TABLE(DBMS_XPLAN.DISPLAY_CURSOR('6kd5fkqdjb8fu',0,'ALLSTATS'));If you need the actual tuntime statistics used by sql statement then you need to put hint /*+ gather_plan_statistics */ in sql ststement, something like
select /*+ gather_plan_statistics */ * from emp;
and then generate the explain plan for this
Have a look
http://hoopercharles.wordpress.com/2010/03/01/dbms_xplan-format-parameters/
select * from table(dbms_xplan.display_cursor(null,null,'ALLSTATS LAST')); -
Different execution plan for same query but for different condition value
Hi All,
I'm facing a strange situation where same query for different condition not working.
1--
Select top 10 * from revenuefact(nolock)
where feecode ='OW4'
2--
Select top 10 * from revenuefact(nolock)
where feecode ='BTE'
1st query is returning result easily but 2nd query is taking too long. Column
feecode has already Non-clustered index and Clustered index is also available for another col RevenueSID.
I was surprised when checked the query execution plan for both the above queries which is quite different (as per attached below). Can anyone suggest me the reason behind it.
And solution for the same. One more thing that data for feecode BTE is inserting through different source instead of others feecode and table contains more than 300 million rows.When I speak with people inside Microsoft who work with the optimizer, the refuse to accept the work "bug" when a query produces the correct result, but with a suboptimal plan. They prefer to use the word "limitation".
The limitation here is that when the optimizer compares two plans, it only looks at the estimated cost. As far as I know, it does not perform any analysis from the perspective "what if the statistics are wrong"? They do provide the hint OPTIMIZE
FOR UNKNOWN, but that does not work then there is a constant as in this case.
The optimizer will surely distinguish between TOP 10 and TOP 10000000. With the latter, you have all reason to expect a Clustered Index Scan no matter which value you search for - unless you pick a value for which the histogram indicates that there are no
rows.
Interesting enough, I was able to reproduce the situation in my Northgale database, which is an inflated version of Northwind, and where statistics should be accurate.
SELECT TOP 10 * FROM Orders WHERE EmployeeID = 8
results in a CI scan, and so does also EmployeeID = 7, and even 5. There are only 2292 rows out of a total of 344305 rows. If I try EmployeeID 808 for which there are 1797, the optimizer goes for the index seek.
Erland Sommarskog, SQL Server MVP, [email protected] -
I want to know the concept of this 'Explain Plan' of a query & why it is used. Could u also give the syntax of how a explain plan for a query can be done. Please help in solving the doubt as it is urgent.
Hi,
set autotrace traceonly explain or
-- create your plan table in your schema (only once)
@ ?/rdbms/admin/utlxplan
-- populate the plan table for your select
explain plan for select ...;
-- display output out of the PLAN_TABLE
@ ?/rdbms/admin/ultxplsRegards
Laurent -
Hi,
For getting the explain plan for a query, we use the statement
"explain plan for " + Query
Similarly, to get an explain plan for a procedure, do we have any way like
"explain plan for " + "Execute " + Procedure
How do we get an explain plan for a procedure that is executed
Thanks in Advance.teckfreak wrote:
Hi Robert,
I am working on an utility application which will execute the procedure and show the explain plan to the user for him to analyze the explain plan and take necessary steps for optimization. I am showing the Procedure inputs to the user, allowing him to enter values and taking them and executing the procedure. I am setting the trace and extracting the explain plan for the procedure using TKPROF utility and showing it to the user.
While doing so, the trace file is stored in udump folder. I am accessing the trace file from TKPROF utility. I am able to run the TKPROF from the command prompt. But if I try automating the TKPROF command in a .NET application using Process.Start, it says "Not able to access the file.". I tried giving full permissions to Everyone and it still throws the error. Kindly guide me how to proceed.. A different approach that you might want to consider (as indicated by William):
- Flush the shared pool and use a unique MODULE description for each execution of your procedure (e.g. using DBMS_APPLICATION_INFO.SET_MODULE), e.g. using a logon trigger
- Query V$SQL for your unique MODULE description and run DBMS_XPLAN.DISPLAY_CURSOR for each corresponding child cursor found (SQL_ID + CHILD_NUMBER) in the shared pool. This plan generation could be automated using a procedure
The result of this approach corresponds to the tracing using TKPROF since it will provide the actual execution plans used at runtime rather than separate EXPLAIN PLAN results which might differ from the actual plans.
This assumes that your shared pool is sufficiently large to hold all the child cursor created by your procedure without aging them out while the procedure is running. It's probably also only applicable to an environment where not too much work is being done while running this test and the recommended flushing of the shared pool.
Regards,
Randolf
Oracle related stuff blog:
http://oracle-randolf.blogspot.com/
SQLTools++ for Oracle (Open source Oracle GUI for Windows):
http://www.sqltools-plusplus.org:7676/
http://sourceforge.net/projects/sqlt-pp/ -
Explain plan for Query performance
Hi Gurus,
I need to improve the performance of a procedure. The procedure has the below QUery. I dont have Idea on how to imrpove the perf by seeing the explain plan. Can anyone please help me to explain where I need to change the code.
The below are the code and Explain plan for the same.
-----------Code----------------------------
SELECT IV_STORECODE AS STORECODE,
TO_CHAR(RD.ITEMCODE) AS ITEMCODE,
C.ITEMCATEGORYNAME,
ISUB.ITEMSUBCATEGORY1NAME
FROM RECEIPTS R
INNER JOIN RECEIPTDETAILS RD
ON R.RECEIPTID = RD.RECEIPTID
INNER JOIN ITEMCOMPANY IC
ON IC.ITEMCODE = RD.ITEMCODE
INNER JOIN ITEMCATEGORY C
ON IC.ITEMCATEGORY = C.ITEMCATEGORYID
LEFT OUTER JOIN ITEMSUBCATEGORY1 ISUB
ON ISUB.ITEMSUBCATEGORY1ID = IC.ITEMSUBCATEGORY1
AND ISUB.ITEMSUBCATEGORY1ID IN
(SELECT ITEMSUBCATEGORY1ID
FROM ITEMSUBCATEGORY1
WHERE ITEMCATEGORYID = IV_ITEMCATEGORY)
INNER JOIN STORE SE
ON SE.STORECODE = R.STORECODE
WHERE R.STORECODE = IV_STORECODE
AND SE.HOSPITALID = IV_HOSPITALID
AND TRUNC(R.CREATEDDATE) BETWEEN V_FROMDATE AND
V_TODATE
AND R.STATUSID NOT IN (99, 5)
AND
(IV_DRUGTYPE IS NULL OR
IC.DRUGTYPECATEGORYID = IV_DRUGTYPE)
UNION
SELECT IV_STORECODE AS STORECODE,
TO_CHAR(STD.ITEMCODE) AS ITEMCODE,
C.ITEMCATEGORYNAME,
ISUB.ITEMSUBCATEGORY1NAME
FROM STOCKTRANSACTION ST
INNER JOIN STOCKTRANSACTIONDETAILS STD
ON ST.STOCKTRANSACTIONID = STD.STOCKTRANSACTIONID
INNER JOIN ITEMCOMPANY IC
ON IC.ITEMCODE = STD.ITEMCODE
INNER JOIN ITEMCATEGORY C
ON IC.ITEMCATEGORY = C.ITEMCATEGORYID
LEFT OUTER JOIN ITEMSUBCATEGORY1 ISUB
ON ISUB.ITEMSUBCATEGORY1ID = IC.ITEMSUBCATEGORY1
AND ISUB.ITEMSUBCATEGORY1ID IN
(SELECT ITEMSUBCATEGORY1ID
FROM ITEMSUBCATEGORY1
WHERE ITEMCATEGORYID = IV_ITEMCATEGORY)
INNER JOIN STORE SE
ON SE.STORECODE = ST.STORECODE
WHERE ST.STORECODE = IV_STORECODE
AND SE.HOSPITALID = IV_HOSPITALID
AND TRUNC(ST.CREATEDDATE) BETWEEN V_FROMDATE AND
V_TODATE
AND ST.STATUS <> 99
AND STD.ITEMCODE NOT LIKE '%#%'
AND
(IV_DRUGTYPE IS NULL OR
IC.DRUGTYPECATEGORYID = IV_DRUGTYPE)
UNION
SELECT D.STORECODE,
TO_CHAR(D.ITEMCODE) AS ITEMCODE,
C.ITEMCATEGORYNAME,
ISUB.ITEMSUBCATEGORY1NAME
FROM DAILYINVENTORY D
INNER JOIN ITEMCOMPANY IC
ON IC.ITEMCODE = D.ITEMCODE
INNER JOIN ITEMCATEGORY C
ON IC.ITEMCATEGORY = C.ITEMCATEGORYID
LEFT OUTER JOIN ITEMSUBCATEGORY1 ISUB
ON ISUB.ITEMSUBCATEGORY1ID = IC.ITEMSUBCATEGORY1
AND ISUB.ITEMSUBCATEGORY1ID IN
(SELECT ITEMSUBCATEGORY1ID
FROM ITEMSUBCATEGORY1
WHERE ITEMCATEGORYID = IV_ITEMCATEGORY)
INNER JOIN STORE SE
ON SE.STORECODE = D.STORECODE
WHERE D.STORECODE = IV_STORECODE
AND SE.HOSPITALID = IV_HOSPITALID
AND TRUNC(D.UPDATEDDATE) <= V_TODATE
AND D.QTY > 0
AND D.ITEMCODE NOT LIKE '%#%'
AND C.ITEMCATEGORYID = IV_ITEMCATEGORY
AND (IV_DRUGTYPE IS NULL OR
IC.DRUGTYPECATEGORYID = IV_DRUGTYPE)
AND (IV_SUBITEMCATEGORY IS NULL OR
ISUB.ITEMSUBCATEGORY1ID = IV_SUBITEMCATEGORY) Will post the explain plan ..
Thanks in advance..Ensure you also include all the other information people will need to help you, e.g. database version, table structures/relationships and cardinalities, row counts etc.
See the two threads linked to in the FAQ: {message:id=9360003} -
How to change the explain plan for currently running query?
Hi All,
I am using Oracle enterprise 9i edition. I have a query which frames dynamically and running in the database. I noticed a table with 31147758 rows
in the query which has no indexes and taking more time to process. I tried to create an INdex on that table. I know the query is already running with a FULL table scan. Is it possible to change the explain plan for the current running query to consider the INDEX?
[code]
SELECT /*+ USE_HASH (c,e,b,a) */
d.att_fcc extrt_prod_dim_id,
d.att_fcc compr_prod_dim_id,
a.glbl_uniq_id glbl_uniq_id,
to_date(c.dit_code,'RRRRMMDD')STRT_DT,
(to_date(c.dit_code,'RRRRMMDD')+150)END_DT,
a.pat_nbr pat_id,
a.rxer_id rxer_id,
e.rxer_geog_id rxer_geog_id,
a.pharmy_id pharmy_id,
a.pscr_pack_id pscr_pack_id,
a.dspnsd_pack_id dspnsd_pack_id,
DENSE_RANK () OVER (PARTITION BY a.pat_nbr ORDER BY c.dit_code) daterank,
COUNT( DISTINCT d.att_fcc ) OVER (PARTITION BY a.pat_nbr, c.dit_code) event_cnt
DENSE_RANK () OVER (PARTITION BY a.pat_nbr,
d.att_fcc
ORDER BY c.dit_code) prodrank,
DENSE_RANK () OVER (PARTITION BY a.pat_nbr,
d.att_fcc
ORDER BY c.dit_code DESC) stoprank
FROM
pd_dimitems c,
pd_pack_attribs d ,
lrx_tmp_rxer_geog e,
lrx_tmp_pat_daterank p,
lrx_tmp_valid_fact_link a
WHERE c.dit_id = a.tm_id
AND e.rxer_id = a.rxer_id
AND a.glbl_uniq_id = p.glbl_uniq_id
AND p.daterank > 1
AND a.pscr_pack_id = d.att_dit_id
[/code]
The table lrx_tmp_pat_daterank is having that 31147758 rows. So I am wondering how to make the query to use the newly created index on the table?Why do you think using Indexes will improve the performance of the query? How many rows this query is returning? Optimizer might chose a Full table scan when it finds out that Index plan might not be useful. Why are you using /*+ USE_HASH (c,e,b,a) */ hint? This Hint will force oracle to use Full table scan instead of using the index. Try removing it and see if the plan changes.
Regards, -
Explain plan for query with variables
Trying to Explain plan for some sql in sql*plus. The query has a variable in it. How do I do this ?
I did look into explain plan and dbms_xplan but could not find anything with variablesuse sqlplus bind variables:
SQL> --define variable
SQL> var x varchar2
SQL> -- notice the colon prefixing the variable
SQL> explain plan for select * from customer where cid = :x;
Explained.
SQL> select * from table( dbms_xplan.display );
PLAN_TABLE_OUTPUT
Plan hash value: 1709312366
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1 | 67 | 2 (0)| 00:00:01 |
| 1 | TABLE ACCESS BY INDEX ROWID| CUSTOMER | 1 | 67 | 2 (0)| 00:00:01 |
|* 2 | INDEX RANGE SCAN | CID | 1 | | 1 (0)| 00:00:01 |
Predicate Information (identified by operation id):
2 - access("CID"=:X)
14 rows selected.the variable does not need to be set to explain the query, since explain does not actually execute.
Edited by: shoblock on Nov 6, 2008 4:51 PM -
How to capture the execution plan for a query
HI All,
Can anyone please help me in finding out the command to capture the execution plan for a query.
Execution plan for select * from EMP where <Condtions>
it is getting executed successfully but i need to get the proper execution plan for the same.
Thanks971830 wrote:
i want to know where execution plan gets generated??
in PMON of server process or in shared pool??
i know that optimixer create execution plan..It is stored in Library Cache (present inside Shared Pool ).
select * from v$sql_plan;An absolute beautiful white paper :
Refer this -- www.sagelogix.com/sagelogix/SearchResults/SAGE015052
Also -- http://www.toadworld.com/KNOWLEDGE/KnowledgeXpertforOracle/tabid/648/TopicID/XPVSP/Default.aspx
HTH
Ranit B. -
How to find Explain Plan for a large querry which has multiple sub querries
Hi All,
I have a Package which has many procedures and one of the procedure has a cursor which is like 2000 lines. This cursor has a main select statement which again has many select statements in it.
Now how do I do the explain plan for the main select statement?
If it can be done easier way in toad(or SQLPLUS), please tell me...When your query takes too long ...
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