Query accessing SSAS cube is taking more time in power view report
Hi,
My SSAS server is having 16 Core's . I have created a power view in sharepoint site, which is accessing ssas cube.
The report is taking more time to show the result. I traced the DAX query using SQL Server profiler. When I ran this DAX query in SSAS server directly, then its taking less time but when the same query running from sharepoint server (power view) , it
is taking more time. Number of records in the fact table is 300M .
Also i tracked the %process time in performance monitor, mostly the line is below 20%. I think the CPU is not fully utilized..
Could you please help me to improve the performance of my report.
Regards,
Arun
Hi Arun,
According to your description, you create a PowerView report in SharePoint site connect to SSAS cube, the problem is that it take long time to show the result in the report, now you want to improve report performance, right?
In your scenario, you said that it takes more time to return the result in PowerView report than run the query directly in SSMS. For a report, its run time contain retrieval data time and render report time. So it takes more time to return the result in
PowerView report than run the query directly in SSMS. And there are 300M records in the fact table, the performance can be caused by large data. Here is a blog which describes tracks down Power View performance problems.
http://blogs.msdn.com/b/psssql/archive/2013/07/29/tracking-down-power-view-performance-problems.aspx
Regards,
Charlie Liao
TechNet Community Support
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Query in timesten taking more time than query in oracle database
Hi,
Can anyone please explain me why query in timesten taking more time
than query in oracle database.
I am mentioning in detail what are my settings and what have I done
step by step.........
1.This is the table I created in Oracle datababase
(Oracle Database 10g Enterprise Edition Release 10.2.0.1.0)...
CREATE TABLE student (
id NUMBER(9) primary keY ,
first_name VARCHAR2(10),
last_name VARCHAR2(10)
2.THIS IS THE ANONYMOUS BLOCK I USE TO
POPULATE THE STUDENT TABLE(TOTAL 2599999 ROWS)...
declare
firstname varchar2(12);
lastname varchar2(12);
catt number(9);
begin
for cntr in 1..2599999 loop
firstname:=(cntr+8)||'f';
lastname:=(cntr+2)||'l';
if cntr like '%9999' then
dbms_output.put_line(cntr);
end if;
insert into student values(cntr,firstname, lastname);
end loop;
end;
3. MY DSN IS SET THE FOLLWING WAY..
DATA STORE PATH- G:\dipesh3repo\db
LOG DIRECTORY- G:\dipesh3repo\log
PERM DATA SIZE-1000
TEMP DATA SIZE-1000
MY TIMESTEN VERSION-
C:\Documents and Settings\dipesh>ttversion
TimesTen Release 7.0.3.0.0 (32 bit NT) (tt70_32:17000) 2007-09-19T16:04:16Z
Instance admin: dipesh
Instance home directory: G:\TimestTen\TT70_32
Daemon home directory: G:\TimestTen\TT70_32\srv\info
THEN I CONNECT TO THE TIMESTEN DATABASE
C:\Documents and Settings\dipesh> ttisql
command>connect "dsn=dipesh3;oraclepwd=tiger";
4. THEN I START THE AGENT
call ttCacheUidPwdSet('SCOTT','TIGER');
Command> CALL ttCacheStart();
5.THEN I CREATE THE READ ONLY CACHE GROUP AND LOAD IT
create readonly cache group rc_student autorefresh
interval 5 seconds from student
(id int not null primary key, first_name varchar2(10), last_name varchar2(10));
load cache group rc_student commit every 100 rows;
6.NOW I CAN ACCESS THE TABLES FROM TIMESTEN AND PERFORM THE QUERY
I SET THE TIMING..
command>TIMING 1;
consider this query now..
Command> select * from student where first_name='2155666f';
< 2155658, 2155666f, 2155660l >
1 row found.
Execution time (SQLExecute + Fetch Loop) = 0.668822 seconds.
another query-
Command> SELECT * FROM STUDENTS WHERE FIRST_NAME='2340009f';
2206: Table SCOTT.STUDENTS not found
Execution time (SQLPrepare) = 0.074964 seconds.
The command failed.
Command> SELECT * FROM STUDENT where first_name='2093434f';
< 2093426, 2093434f, 2093428l >
1 row found.
Execution time (SQLExecute + Fetch Loop) = 0.585897 seconds.
Command>
7.NOW I PERFORM THE SIMILAR QUERIES FROM SQLPLUS...
SQL> SELECT * FROM STUDENT WHERE FIRST_NAME='1498671f';
ID FIRST_NAME LAST_NAME
1498663 1498671f 1498665l
Elapsed: 00:00:00.15
Can anyone please explain me why query in timesten taking more time
that query in oracle database.
Message was edited by: Dipesh Majumdar
user542575
Message was edited by:
user542575TimesTen
Hardware: Windows Server 2003 R2 Enterprise x64; 8 x Dual-core AMD 8216 2.41GHz processors; 32 GB RAM
Version: 7.0.4.0.0 64 bit
Schema:
create usermanaged cache group factCache from
MV_US_DATAMART
ORDER_DATE DATE,
IF_SYSTEM VARCHAR2(32) NOT NULL,
GROUPING_ID TT_BIGINT,
TIME_DIM_ID TT_INTEGER NOT NULL,
BUSINESS_DIM_ID TT_INTEGER NOT NULL,
ACCOUNT_DIM_ID TT_INTEGER NOT NULL,
ORDERTYPE_DIM_ID TT_INTEGER NOT NULL,
INSTR_DIM_ID TT_INTEGER NOT NULL,
EXECUTION_DIM_ID TT_INTEGER NOT NULL,
EXEC_EXCHANGE_DIM_ID TT_INTEGER NOT NULL,
NO_ORDERS TT_BIGINT,
FILLED_QUANTITY TT_BIGINT,
CNT_FILLED_QUANTITY TT_BIGINT,
QUANTITY TT_BIGINT,
CNT_QUANTITY TT_BIGINT,
COMMISSION BINARY_FLOAT,
CNT_COMMISSION TT_BIGINT,
FILLS_NUMBER TT_BIGINT,
CNT_FILLS_NUMBER TT_BIGINT,
AGGRESSIVE_FILLS TT_BIGINT,
CNT_AGGRESSIVE_FILLS TT_BIGINT,
NOTIONAL BINARY_FLOAT,
CNT_NOTIONAL TT_BIGINT,
TOTAL_PRICE BINARY_FLOAT,
CNT_TOTAL_PRICE TT_BIGINT,
CANCELLED_ORDERS_COUNT TT_BIGINT,
CNT_CANCELLED_ORDERS_COUNT TT_BIGINT,
ROUTED_ORDERS_NO TT_BIGINT,
CNT_ROUTED_ORDERS_NO TT_BIGINT,
ROUTED_LIQUIDITY_QTY TT_BIGINT,
CNT_ROUTED_LIQUIDITY_QTY TT_BIGINT,
REMOVED_LIQUIDITY_QTY TT_BIGINT,
CNT_REMOVED_LIQUIDITY_QTY TT_BIGINT,
ADDED_LIQUIDITY_QTY TT_BIGINT,
CNT_ADDED_LIQUIDITY_QTY TT_BIGINT,
AGENT_CHARGES BINARY_FLOAT,
CNT_AGENT_CHARGES TT_BIGINT,
CLEARING_CHARGES BINARY_FLOAT,
CNT_CLEARING_CHARGES TT_BIGINT,
EXECUTION_CHARGES BINARY_FLOAT,
CNT_EXECUTION_CHARGES TT_BIGINT,
TRANSACTION_CHARGES BINARY_FLOAT,
CNT_TRANSACTION_CHARGES TT_BIGINT,
ORDER_MANAGEMENT BINARY_FLOAT,
CNT_ORDER_MANAGEMENT TT_BIGINT,
SETTLEMENT_CHARGES BINARY_FLOAT,
CNT_SETTLEMENT_CHARGES TT_BIGINT,
RECOVERED_AGENT BINARY_FLOAT,
CNT_RECOVERED_AGENT TT_BIGINT,
RECOVERED_CLEARING BINARY_FLOAT,
CNT_RECOVERED_CLEARING TT_BIGINT,
RECOVERED_EXECUTION BINARY_FLOAT,
CNT_RECOVERED_EXECUTION TT_BIGINT,
RECOVERED_TRANSACTION BINARY_FLOAT,
CNT_RECOVERED_TRANSACTION TT_BIGINT,
RECOVERED_ORD_MGT BINARY_FLOAT,
CNT_RECOVERED_ORD_MGT TT_BIGINT,
RECOVERED_SETTLEMENT BINARY_FLOAT,
CNT_RECOVERED_SETTLEMENT TT_BIGINT,
CLIENT_AGENT BINARY_FLOAT,
CNT_CLIENT_AGENT TT_BIGINT,
CLIENT_ORDER_MGT BINARY_FLOAT,
CNT_CLIENT_ORDER_MGT TT_BIGINT,
CLIENT_EXEC BINARY_FLOAT,
CNT_CLIENT_EXEC TT_BIGINT,
CLIENT_TRANS BINARY_FLOAT,
CNT_CLIENT_TRANS TT_BIGINT,
CLIENT_CLEARING BINARY_FLOAT,
CNT_CLIENT_CLEARING TT_BIGINT,
CLIENT_SETTLE BINARY_FLOAT,
CNT_CLIENT_SETTLE TT_BIGINT,
CHARGEABLE_TAXES BINARY_FLOAT,
CNT_CHARGEABLE_TAXES TT_BIGINT,
VENDOR_CHARGE BINARY_FLOAT,
CNT_VENDOR_CHARGE TT_BIGINT,
ROUTING_CHARGES BINARY_FLOAT,
CNT_ROUTING_CHARGES TT_BIGINT,
RECOVERED_ROUTING BINARY_FLOAT,
CNT_RECOVERED_ROUTING TT_BIGINT,
CLIENT_ROUTING BINARY_FLOAT,
CNT_CLIENT_ROUTING TT_BIGINT,
TICKET_CHARGES BINARY_FLOAT,
CNT_TICKET_CHARGES TT_BIGINT,
RECOVERED_TICKET_CHARGES BINARY_FLOAT,
CNT_RECOVERED_TICKET_CHARGES TT_BIGINT,
PRIMARY KEY(ORDER_DATE, TIME_DIM_ID, BUSINESS_DIM_ID, ACCOUNT_DIM_ID, ORDERTYPE_DIM_ID, INSTR_DIM_ID, EXECUTION_DIM_ID,EXEC_EXCHANGE_DIM_ID),
READONLY);
No of rows: 2228558
Config:
< CkptFrequency, 600 >
< CkptLogVolume, 0 >
< CkptRate, 0 >
< ConnectionCharacterSet, US7ASCII >
< ConnectionName, tt_us_dma >
< Connections, 64 >
< DataBaseCharacterSet, AL32UTF8 >
< DataStore, e:\andrew\datacache\usDMA >
< DurableCommits, 0 >
< GroupRestrict, <NULL> >
< LockLevel, 0 >
< LockWait, 10 >
< LogBuffSize, 65536 >
< LogDir, e:\andrew\datacache\ >
< LogFileSize, 64 >
< LogFlushMethod, 1 >
< LogPurge, 0 >
< Logging, 1 >
< MemoryLock, 0 >
< NLS_LENGTH_SEMANTICS, BYTE >
< NLS_NCHAR_CONV_EXCP, 0 >
< NLS_SORT, BINARY >
< OracleID, NYCATP1 >
< PassThrough, 0 >
< PermSize, 4000 >
< PermWarnThreshold, 90 >
< PrivateCommands, 0 >
< Preallocate, 0 >
< QueryThreshold, 0 >
< RACCallback, 0 >
< SQLQueryTimeout, 0 >
< TempSize, 514 >
< TempWarnThreshold, 90 >
< Temporary, 1 >
< TransparentLoad, 0 >
< TypeMode, 0 >
< UID, OS_OWNER >
ORACLE:
Hardware: Sunos 5.10; 24x1.8Ghz (unsure of type); 82 GB RAM
Version 10g Enterprise Edition Release 10.2.0.3.0 - 64bit Production
Schema:
CREATE MATERIALIZED VIEW OS_OWNER.MV_US_DATAMART
TABLESPACE TS_OS
PARTITION BY RANGE (ORDER_DATE)
PARTITION MV_US_DATAMART_MINVAL VALUES LESS THAN (TO_DATE(' 2007-11-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))
LOGGING
NOCOMPRESS
TABLESPACE TS_OS,
PARTITION MV_US_DATAMART_07_NOV_D1 VALUES LESS THAN (TO_DATE(' 2007-11-11 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))
LOGGING
NOCOMPRESS
TABLESPACE TS_OS,
PARTITION MV_US_DATAMART_07_NOV_D2 VALUES LESS THAN (TO_DATE(' 2007-11-21 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))
LOGGING
NOCOMPRESS
TABLESPACE TS_OS,
PARTITION MV_US_DATAMART_07_NOV_D3 VALUES LESS THAN (TO_DATE(' 2007-12-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))
LOGGING
NOCOMPRESS
TABLESPACE TS_OS,
PARTITION MV_US_DATAMART_07_DEC_D1 VALUES LESS THAN (TO_DATE(' 2007-12-11 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))
LOGGING
NOCOMPRESS
TABLESPACE TS_OS,
PARTITION MV_US_DATAMART_07_DEC_D2 VALUES LESS THAN (TO_DATE(' 2007-12-21 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))
LOGGING
NOCOMPRESS
TABLESPACE TS_OS,
PARTITION MV_US_DATAMART_07_DEC_D3 VALUES LESS THAN (TO_DATE(' 2008-01-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))
LOGGING
NOCOMPRESS
TABLESPACE TS_OS,
PARTITION MV_US_DATAMART_08_JAN_D1 VALUES LESS THAN (TO_DATE(' 2008-01-11 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))
LOGGING
NOCOMPRESS
TABLESPACE TS_OS,
PARTITION MV_US_DATAMART_08_JAN_D2 VALUES LESS THAN (TO_DATE(' 2008-01-21 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))
LOGGING
NOCOMPRESS
TABLESPACE TS_OS,
PARTITION MV_US_DATAMART_08_JAN_D3 VALUES LESS THAN (TO_DATE(' 2008-02-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))
LOGGING
NOCOMPRESS
TABLESPACE TS_OS,
PARTITION MV_US_DATAMART_MAXVAL VALUES LESS THAN (MAXVALUE)
LOGGING
NOCOMPRESS
TABLESPACE TS_OS
NOCACHE
NOCOMPRESS
NOPARALLEL
BUILD DEFERRED
USING INDEX
TABLESPACE TS_OS_INDEX
REFRESH FAST ON DEMAND
WITH PRIMARY KEY
ENABLE QUERY REWRITE
AS
SELECT order_date, if_system,
GROUPING_ID (order_date,
if_system,
business_dim_id,
time_dim_id,
account_dim_id,
ordertype_dim_id,
instr_dim_id,
execution_dim_id,
exec_exchange_dim_id
) GROUPING_ID,
/* ============ DIMENSIONS ============ */
time_dim_id, business_dim_id, account_dim_id, ordertype_dim_id,
instr_dim_id, execution_dim_id, exec_exchange_dim_id,
/* ============ MEASURES ============ */
-- o.FX_RATE /* FX_RATE */,
COUNT (*) no_orders,
-- SUM(NO_ORDERS) NO_ORDERS,
-- COUNT(NO_ORDERS) CNT_NO_ORDERS,
SUM (filled_quantity) filled_quantity,
COUNT (filled_quantity) cnt_filled_quantity, SUM (quantity) quantity,
COUNT (quantity) cnt_quantity, SUM (commission) commission,
COUNT (commission) cnt_commission, SUM (fills_number) fills_number,
COUNT (fills_number) cnt_fills_number,
SUM (aggressive_fills) aggressive_fills,
COUNT (aggressive_fills) cnt_aggressive_fills,
SUM (fx_rate * filled_quantity * average_price) notional,
COUNT (fx_rate * filled_quantity * average_price) cnt_notional,
SUM (fx_rate * fills_number * average_price) total_price,
COUNT (fx_rate * fills_number * average_price) cnt_total_price,
SUM (CASE
WHEN order_status = 'C'
THEN 1
ELSE 0
END) cancelled_orders_count,
COUNT (CASE
WHEN order_status = 'C'
THEN 1
ELSE 0
END
) cnt_cancelled_orders_count,
-- SUM(t.FX_RATE*t.NO_FILLS*t.AVG_PRICE) AVERAGE_PRICE,
-- SUM(FILLS_NUMBER*AVERAGE_PRICE) STAGING_AVERAGE_PRICE,
-- COUNT(FILLS_NUMBER*AVERAGE_PRICE) CNT_STAGING_AVERAGE_PRICE,
SUM (routed_orders_no) routed_orders_no,
COUNT (routed_orders_no) cnt_routed_orders_no,
SUM (routed_liquidity_qty) routed_liquidity_qty,
COUNT (routed_liquidity_qty) cnt_routed_liquidity_qty,
SUM (removed_liquidity_qty) removed_liquidity_qty,
COUNT (removed_liquidity_qty) cnt_removed_liquidity_qty,
SUM (added_liquidity_qty) added_liquidity_qty,
COUNT (added_liquidity_qty) cnt_added_liquidity_qty,
SUM (agent_charges) agent_charges,
COUNT (agent_charges) cnt_agent_charges,
SUM (clearing_charges) clearing_charges,
COUNT (clearing_charges) cnt_clearing_charges,
SUM (execution_charges) execution_charges,
COUNT (execution_charges) cnt_execution_charges,
SUM (transaction_charges) transaction_charges,
COUNT (transaction_charges) cnt_transaction_charges,
SUM (order_management) order_management,
COUNT (order_management) cnt_order_management,
SUM (settlement_charges) settlement_charges,
COUNT (settlement_charges) cnt_settlement_charges,
SUM (recovered_agent) recovered_agent,
COUNT (recovered_agent) cnt_recovered_agent,
SUM (recovered_clearing) recovered_clearing,
COUNT (recovered_clearing) cnt_recovered_clearing,
SUM (recovered_execution) recovered_execution,
COUNT (recovered_execution) cnt_recovered_execution,
SUM (recovered_transaction) recovered_transaction,
COUNT (recovered_transaction) cnt_recovered_transaction,
SUM (recovered_ord_mgt) recovered_ord_mgt,
COUNT (recovered_ord_mgt) cnt_recovered_ord_mgt,
SUM (recovered_settlement) recovered_settlement,
COUNT (recovered_settlement) cnt_recovered_settlement,
SUM (client_agent) client_agent,
COUNT (client_agent) cnt_client_agent,
SUM (client_order_mgt) client_order_mgt,
COUNT (client_order_mgt) cnt_client_order_mgt,
SUM (client_exec) client_exec, COUNT (client_exec) cnt_client_exec,
SUM (client_trans) client_trans,
COUNT (client_trans) cnt_client_trans,
SUM (client_clearing) client_clearing,
COUNT (client_clearing) cnt_client_clearing,
SUM (client_settle) client_settle,
COUNT (client_settle) cnt_client_settle,
SUM (chargeable_taxes) chargeable_taxes,
COUNT (chargeable_taxes) cnt_chargeable_taxes,
SUM (vendor_charge) vendor_charge,
COUNT (vendor_charge) cnt_vendor_charge,
SUM (routing_charges) routing_charges,
COUNT (routing_charges) cnt_routing_charges,
SUM (recovered_routing) recovered_routing,
COUNT (recovered_routing) cnt_recovered_routing,
SUM (client_routing) client_routing,
COUNT (client_routing) cnt_client_routing,
SUM (ticket_charges) ticket_charges,
COUNT (ticket_charges) cnt_ticket_charges,
SUM (recovered_ticket_charges) recovered_ticket_charges,
COUNT (recovered_ticket_charges) cnt_recovered_ticket_charges
FROM us_datamart_raw
GROUP BY order_date,
if_system,
business_dim_id,
time_dim_id,
account_dim_id,
ordertype_dim_id,
instr_dim_id,
execution_dim_id,
exec_exchange_dim_id;
-- Note: Index I_SNAP$_MV_US_DATAMART will be created automatically
-- by Oracle with the associated materialized view.
CREATE UNIQUE INDEX OS_OWNER.MV_US_DATAMART_UDX ON OS_OWNER.MV_US_DATAMART
(ORDER_DATE, TIME_DIM_ID, BUSINESS_DIM_ID, ACCOUNT_DIM_ID, ORDERTYPE_DIM_ID,
INSTR_DIM_ID, EXECUTION_DIM_ID, EXEC_EXCHANGE_DIM_ID)
NOLOGGING
NOPARALLEL
COMPRESS 7;
No of rows: 2228558
The query (taken Mondrian) I run against each of them is:
select sum("MV_US_DATAMART"."NOTIONAL") as "m0"
--, sum("MV_US_DATAMART"."FILLED_QUANTITY") as "m1"
--, sum("MV_US_DATAMART"."AGENT_CHARGES") as "m2"
--, sum("MV_US_DATAMART"."CLEARING_CHARGES") as "m3"
--, sum("MV_US_DATAMART"."EXECUTION_CHARGES") as "m4"
--, sum("MV_US_DATAMART"."TRANSACTION_CHARGES") as "m5"
--, sum("MV_US_DATAMART"."ROUTING_CHARGES") as "m6"
--, sum("MV_US_DATAMART"."ORDER_MANAGEMENT") as "m7"
--, sum("MV_US_DATAMART"."SETTLEMENT_CHARGES") as "m8"
--, sum("MV_US_DATAMART"."COMMISSION") as "m9"
--, sum("MV_US_DATAMART"."RECOVERED_AGENT") as "m10"
--, sum("MV_US_DATAMART"."RECOVERED_CLEARING") as "m11"
--,sum("MV_US_DATAMART"."RECOVERED_EXECUTION") as "m12"
--,sum("MV_US_DATAMART"."RECOVERED_TRANSACTION") as "m13"
--, sum("MV_US_DATAMART"."RECOVERED_ROUTING") as "m14"
--, sum("MV_US_DATAMART"."RECOVERED_ORD_MGT") as "m15"
--, sum("MV_US_DATAMART"."RECOVERED_SETTLEMENT") as "m16"
--, sum("MV_US_DATAMART"."RECOVERED_TICKET_CHARGES") as "m17"
--,sum("MV_US_DATAMART"."TICKET_CHARGES") as "m18"
--, sum("MV_US_DATAMART"."VENDOR_CHARGE") as "m19"
from "OS_OWNER"."MV_US_DATAMART" "MV_US_DATAMART"
where I uncomment a column at a time and rerun. I improved the TimesTen results since my first post, by retyping the NUMBER columns to BINARY_FLOAT. The results I got were:
No Columns ORACLE TimesTen
1 1.05 0.94
2 1.07 1.47
3 2.04 1.8
4 2.06 2.08
5 2.09 2.4
6 3.01 2.67
7 4.02 3.06
8 4.03 3.37
9 4.04 3.62
10 4.06 4.02
11 4.08 4.31
12 4.09 4.61
13 5.01 4.76
14 5.02 5.06
15 5.04 5.25
16 5.05 5.48
17 5.08 5.84
18 6 6.21
19 6.02 6.34
20 6.04 6.75 -
Hi all,
db:oracle 9i
I am facing below query prob.
prob is that query is taking more time 45 min than earliar (10 sec).
please any one suggest me .....
SQL> SELECT MAX (tdar1.ID) ID, tdar1.request_id, tdar1.lolm_transaction_id,
2 tdar1.transaction_version
3 FROM transaction_data_arc tdar1
4 WHERE tdar1.transaction_name ='O96U '
5 AND tdar1.transaction_type = 'REQUEST'
6 AND tdar1.message_type_code ='PCN'
7 AND NOT EXISTS (
8 SELECT NULL
9 FROM transaction_data_arc tdar2
10 WHERE tdar2.request_id = tdar1.request_id
11 AND tdar2.lolm_transaction_id != tdar1.lolm_transaction_id
12 AND tdar2.ID > tdar1.ID)
13 GROUP BY tdar1.request_id,
14 tdar1.lolm_transaction_id,
15 tdar1.transaction_version;
Execution Plan
0 SELECT STATEMENT Optimizer=CHOOSE (Cost=17 Card=1 Bytes=42)
1 0 SORT (GROUP BY) (Cost=12 Card=1 Bytes=42)
2 1 FILTER
3 2 TABLE ACCESS (BY INDEX ROWID) OF 'TRANSACTION_DATA_ARC
' (Cost=1 Card=1 Bytes=42)
4 3 INDEX (RANGE SCAN) OF 'NK_TDAR_2' (NON-UNIQUE) (Cost
=3 Card=1)
5 2 TABLE ACCESS (BY INDEX ROWID) OF 'TRANSACTION_DATA_ARC
' (Cost=5 Card=918 Bytes=20196)
6 5 INDEX (RANGE SCAN) OF 'NK_TDAR_7' (NON-UNIQUE) (Cost
=8 Card=4760)prob is that query is taking more time 45 min than earliar (10 sec).Then something must have changed (data growth/stale statistics/...?).
You should post as much details as possible, how and what it is described in the FAQ, see:
*3. How to improve the performance of my query? / My query is running slow*.
When your query takes too long...
How to post a SQL statement tuning request
SQL and PL/SQL FAQ
Also, given your database version, using NOT IN instead of NOT EXISTS might make a difference (but they're not the same).
See: SQL and PL/SQL FAQ -
Dear Gurus/Masters/All,
I request your valuble assistance in tuning one of my SQL.
We are using oracle 10.2.04 version and OS is HP-UX 11.23(ia64) version
In my production environment one SQL is taking more time to complete the task. According to EXPLAIN PLAN, i observed that one of it's WHERE condition execution is causing the issue.
I took the explain plan of the WHERE condition which is causing the issue. It is going for full table scan to satisfy the criteria. But a normal index exists on this column.
Main Query WHERE condition and Explain Plan.
SELECT column list ....
FROM
SIEBEL.S_ADDR_PER T1,
SIEBEL.S_PTY_PAY_PRFL T2,
SIEBEL.S_INVLOC T3,
SIEBEL.S_ORDER T4,
SIEBEL.S_ORG_EXT T5,
SIEBEL.S_POSTN T6,
SIEBEL.S_PARTY T7,
SIEBEL.S_PROJ T8,
SIEBEL.S_CON_ADDR T9,
SIEBEL.S_ORG_EXT T10,
SIEBEL.S_USER T11,
SIEBEL.S_DOC_QUOTE T12,
SIEBEL.S_ACCNT_POSTN T13,
SIEBEL.S_INS_CLAIM T14,
SIEBEL.S_USER T15,
SIEBEL.S_ORG_EXT T16,
SIEBEL.S_ASSET T17,
SIEBEL.S_ORDER_TNTX T18,
SIEBEL.S_ORG_EXT_TNTX T19,
SIEBEL.S_PERIOD T20,
SIEBEL.S_DEPOSIT_TNT T21,
SIEBEL.S_ADDR_PER T22,
SIEBEL.S_PAYMENT_TERM T23,
SIEBEL.S_ORG_EXT_X T24,
SIEBEL.S_ORG_EXT T25,
SIEBEL.S_INSCLM_ELMNT T26,
SIEBEL.S_INVOICE T27
WHERE
T25.BU_ID = T10.PAR_ROW_ID (+) AND
T26.INSCLM_ID = T14.ROW_ID (+) AND
T27.ELEMENT_ID = T26.ROW_ID (+) AND
T27.LAST_UPD_BY = T15.PAR_ROW_ID (+) AND
T4.QUOTE_ID = T12.ROW_ID (+) AND
T3.CG_ASSSET_ID = T17.ROW_ID (+) AND
T27.BL_ADDR_ID = T22.ROW_ID (+) AND
T8.BU_ID = T5.PAR_ROW_ID (+) AND
T27.PER_PAY_PRFL_ID = T2.ROW_ID (+) AND
T27.REMIT_ORG_EXT_ID = T16.PAR_ROW_ID (+) AND
T27.PROJ_ID = T8.ROW_ID (+) AND
T27.BL_PERIOD_ID = T20.ROW_ID (+) AND
T27.PAYMENT_TERM_ID = T23.ROW_ID (+) AND
T12.BU_ID = T19.PAR_ROW_ID (+) AND
T27.ACCNT_ID = T25.PAR_ROW_ID (+) AND
T27.ORDER_ID = T18.ROW_ID (+) AND
T4.SRC_INVLOC_ID = T3.ROW_ID (+) AND
T27.ORDER_ID = T4.ROW_ID (+) AND
T27.ACCNT_ID = T24.PAR_ROW_ID (+) AND
T18.PR_DEPOSIT_ID = T21.ROW_ID (+) AND
T27.BL_ADDR_ID = T9.ADDR_PER_ID (+) AND T27.ACCNT_ID = T9.ACCNT_ID (+) AND
T27.BL_ADDR_ID = T1.ROW_ID (+) AND
T25.PR_POSTN_ID = T13.POSITION_ID (+) AND T25.ROW_ID = T13.OU_EXT_ID (+) AND
T13.POSITION_ID = T7.ROW_ID (+) AND
T13.POSITION_ID = T6.PAR_ROW_ID (+) AND
T6.PR_EMP_ID = T11.PAR_ROW_ID (+) AND
(T27.INVC_TYPE_CD = :1)
ORDER BY
T27.INVC_DT;
Explained.
SQL> select * from table(dbms_xplan.display);
PLAN_TABLE_OUTPUT
Plan hash value: 2576210427
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 39M| 71G| | 624M (1)|278:42:59 |
| 1 | SORT ORDER BY | | 39M| 71G| 150G| 624M (1)|278:42:59 |
| 2 | NESTED LOOPS OUTER | | 39M| 71G| | 610M (1)|272:11:24 |
| 3 | NESTED LOOPS OUTER | | 39M| 70G| | 515M (1)|229:48:41 |
| 4 | NESTED LOOPS OUTER | | 39M| 69G| | 483M (1)|215:41:04 |
| 5 | NESTED LOOPS OUTER | | 39M| 68G| | 483M (1)|215:41:04 |
| 6 | NESTED LOOPS OUTER | | 39M| 67G| | 483M (1)|215:41:04 |
| 7 | NESTED LOOPS OUTER | | 39M| 66G| | 406M (1)|181:17:50 |
| 8 | NESTED LOOPS OUTER | | 39M| 65G| | 343M (1)|153:12:57 |
| 9 | NESTED LOOPS OUTER | | 39M| 64G| | 311M (1)|139:04:56 |
| 10 | NESTED LOOPS OUTER | | 39M| 63G| | 185M (1)| 82:37:56 |
| 11 | NESTED LOOPS OUTER | | 39M| 54G| | 108M (1)| 48:11:29 |
| 12 | NESTED LOOPS OUTER | | 39M| 53G| | 108M (1)| 48:11:29 |
| 13 | NESTED LOOPS OUTER | | 39M| 51G| | 76M (1)| 34:03:51 |
| 14 | NESTED LOOPS OUTER | | 39M| 49G| | 76M (1)| 34:03:51 |
| 15 | NESTED LOOPS OUTER | | 39M| 46G| | 76M (1)| 34:03:51 |
| 16 | NESTED LOOPS OUTER | | 39M| 44G| | 76M (1)| 34:03:51 |
| 17 | NESTED LOOPS OUTER | | 39M| 40G| | 65M (1)| 29:25:49 |
| 18 | NESTED LOOPS OUTER | | 39M| 39G| | 65M (1)| 29:25:49 |
| 19 | NESTED LOOPS OUTER | | 39M| 38G| | 65M (1)| 29:25:49 |
| 20 | NESTED LOOPS OUTER | | 39M| 34G| | 65M (1)| 29:17:44 |
| 21 | NESTED LOOPS OUTER | | 39M| 32G| | 65M (1)| 29:17:08 |
| 22 | NESTED LOOPS OUTER | | 39M| 31G| | 65M (1)| 29:09:04 |
| 23 | NESTED LOOPS OUTER | | 39M| 30G| | 2043K (9)| 00:54:42 |
| 24 | NESTED LOOPS OUTER | | 39M| 30G| | 2043K (9)| 00:54:42 |
| 25 | NESTED LOOPS OUTER | | 39M| 25G| | 2015K (7)| 00:53:57 |
| 26 | NESTED LOOPS OUTER | | 39M| 22G| | 2015K (7)| 00:53:57 |
| 27 | NESTED LOOPS OUTER | | 39M| 16G| | 2015K (7)| 00:53:57 |
|* 28 | TABLE ACCESS FULL | S_INVOICE | 39M| 9G| | 2015K (7)| 00:53:57 |
| 29 | TABLE ACCESS BY INDEX ROWID| S_PROJ | 1 | 188 | | 1 (0)| 00:00:01 |
|* 30 | INDEX UNIQUE SCAN | S_PROJ_P1 | 1 | | | 1 (0)| 00:00:01 |
| 31 | TABLE ACCESS BY INDEX ROWID | S_PAYMENT_TERM | 1 | 156 | | 1 (0)| 00:00:01 |
|* 32 | INDEX UNIQUE SCAN | S_PAYMENT_TERM_P1 | 1 | | | 1 (0)| 00:00:01 |
| 33 | TABLE ACCESS BY INDEX ROWID | S_INSCLM_ELMNT | 1 | 77 | | 1 (0)| 00:00:01 |
|* 34 | INDEX UNIQUE SCAN | S_INSCLM_ELMNT_P1 | 1 | | | 1 (0)| 00:00:01 |
| 35 | TABLE ACCESS BY INDEX ROWID | S_INS_CLAIM | 1 | 134 | | 1 (0)| 00:00:01 |
|* 36 | INDEX UNIQUE SCAN | S_INS_CLAIM_P1 | 1 | | | 1 (0)| 00:00:01 |
| 37 | TABLE ACCESS BY INDEX ROWID | S_PERIOD | 1 | 19 | | 1 (0)| 00:00:01 |
|* 38 | INDEX UNIQUE SCAN | S_PERIOD_P1 | 1 | | | 1 (0)| 00:00:01 |
| 39 | TABLE ACCESS BY INDEX ROWID | S_USER | 1 | 25 | | 2 (0)| 00:00:01 |
|* 40 | INDEX UNIQUE SCAN | S_USER_U2 | 1 | | | 1 (0)| 00:00:01 |
| 41 | TABLE ACCESS BY INDEX ROWID | S_ORDER_TNTX | 1 | 26 | | 2 (0)| 00:00:01 |
|* 42 | INDEX UNIQUE SCAN | S_ORDER_TNTX_P1 | 1 | | | 1 (0)| 00:00:01 |
| 43 | TABLE ACCESS BY INDEX ROWID | S_DEPOSIT_TNT | 1 | 45 | | 1 (0)| 00:00:01 |
|* 44 | INDEX UNIQUE SCAN | S_DEPOSIT_TNT_P1 | 1 | | | 1 (0)| 00:00:01 |
| 45 | TABLE ACCESS BY INDEX ROWID | S_ORDER | 1 | 101 | | 2 (0)| 00:00:01 |
|* 46 | INDEX UNIQUE SCAN | S_ORDER_P1 | 1 | | | 1 (0)| 00:00:01 |
| 47 | TABLE ACCESS BY INDEX ROWID | S_INVLOC | 1 | 47 | | 1 (0)| 00:00:01 |
|* 48 | INDEX UNIQUE SCAN | S_INVLOC_P1 | 1 | | | 1 (0)| 00:00:01 |
| 49 | TABLE ACCESS BY INDEX ROWID | S_DOC_QUOTE | 1 | 21 | | 1 (0)| 00:00:01 |
|* 50 | INDEX UNIQUE SCAN | S_DOC_QUOTE_P1 | 1 | | | 1 (0)| 00:00:01 |
|* 51 | TABLE ACCESS FULL | S_ORG_EXT_TNTX | 1 | 94 | | 0 (0)| 00:00:01 |
| 52 | TABLE ACCESS BY INDEX ROWID | S_PTY_PAY_PRFL | 1 | 74 | | 1 (0)| 00:00:01 |
|* 53 | INDEX UNIQUE SCAN | S_PTY_PAY_PRFL_P1 | 1 | | | 1 (0)| 00:00:01 |
| 54 | TABLE ACCESS BY INDEX ROWID | S_ADDR_PER | 1 | 84 | | 2 (0)| 00:00:01 |
|* 55 | INDEX UNIQUE SCAN | S_ADDR_PER_P1 | 1 | | | 1 (0)| 00:00:01 |
| 56 | TABLE ACCESS BY INDEX ROWID | S_ADDR_PER | 1 | 57 | | 1 (0)| 00:00:01 |
|* 57 | INDEX UNIQUE SCAN | S_ADDR_PER_P1 | 1 | | | 1 (0)| 00:00:01 |
| 58 | TABLE ACCESS BY INDEX ROWID | S_ORG_EXT | 1 | 32 | | 1 (0)| 00:00:01 |
|* 59 | INDEX UNIQUE SCAN | S_ORG_EXT_U3 | 1 | | | 1 (0)| 00:00:01 |
| 60 | TABLE ACCESS BY INDEX ROWID | S_ORG_EXT | 1 | 32 | | 1 (0)| 00:00:01 |
|* 61 | INDEX UNIQUE SCAN | S_ORG_EXT_U3 | 1 | | | 1 (0)| 00:00:01 |
| 62 | TABLE ACCESS BY INDEX ROWID | S_ORG_EXT | 1 | 256 | | 2 (0)| 00:00:01 |
|* 63 | INDEX UNIQUE SCAN | S_ORG_EXT_U3 | 1 | | | 1 (0)| 00:00:01 |
| 64 | TABLE ACCESS BY INDEX ROWID | S_ACCNT_POSTN | 1 | 32 | | 3 (0)| 00:00:01 |
|* 65 | INDEX RANGE SCAN | S_ACCNT_POSTN_U1 | 1 | | | 2 (0)| 00:00:01 |
| 66 | TABLE ACCESS BY INDEX ROWID | S_POSTN | 1 | 21 | | 1 (0)| 00:00:01 |
|* 67 | INDEX UNIQUE SCAN | S_POSTN_U2 | 1 | | | 1 (0)| 00:00:01 |
| 68 | TABLE ACCESS BY INDEX ROWID | S_USER | 1 | 25 | | 2 (0)| 00:00:01 |
|* 69 | INDEX UNIQUE SCAN | S_USER_U2 | 1 | | | 1 (0)| 00:00:01 |
| 70 | TABLE ACCESS BY INDEX ROWID | S_ORG_EXT | 1 | 32 | | 2 (0)| 00:00:01 |
|* 71 | INDEX UNIQUE SCAN | S_ORG_EXT_U3 | 1 | | | 1 (0)| 00:00:01 |
| 72 | TABLE ACCESS BY INDEX ROWID | S_ASSET | 1 | 24 | | 2 (0)| 00:00:01 |
|* 73 | INDEX UNIQUE SCAN | S_ASSET_P1 | 1 | | | 2 (0)| 00:00:01 |
| 74 | TABLE ACCESS BY INDEX ROWID | S_CON_ADDR | 1 | 36 | | 3 (0)| 00:00:01 |
|* 75 | INDEX RANGE SCAN | S_CON_ADDR_U1 | 1 | | | 2 (0)| 00:00:01 |
|* 76 | INDEX UNIQUE SCAN | S_PARTY_P1 | 1 | 12 | | 1 (0)| 00:00:01 |
| 77 | TABLE ACCESS BY INDEX ROWID | S_ORG_EXT_X | 1 | 37 | | 2 (0)| 00:00:01 |
|* 78 | INDEX RANGE SCAN | S_ORG_EXT_X_U1 | 1 | | | 2 (0)| 00:00:01 |
Predicate Information (identified by operation id):
28 - filter("T27"."INVC_TYPE_CD"=:1)
30 - access("T27"."PROJ_ID"="T8"."ROW_ID"(+))
32 - access("T27"."PAYMENT_TERM_ID"="T23"."ROW_ID"(+))
34 - access("T27"."ELEMENT_ID"="T26"."ROW_ID"(+))
36 - access("T26"."INSCLM_ID"="T14"."ROW_ID"(+))
38 - access("T27"."BL_PERIOD_ID"="T20"."ROW_ID"(+))
40 - access("T27"."LAST_UPD_BY"="T15"."PAR_ROW_ID"(+))
42 - access("T27"."ORDER_ID"="T18"."ROW_ID"(+))
44 - access("T18"."PR_DEPOSIT_ID"="T21"."ROW_ID"(+))
46 - access("T27"."ORDER_ID"="T4"."ROW_ID"(+))
48 - access("T4"."SRC_INVLOC_ID"="T3"."ROW_ID"(+))
50 - access("T4"."QUOTE_ID"="T12"."ROW_ID"(+))
51 - filter("T12"."BU_ID"="T19"."PAR_ROW_ID"(+))
53 - access("T27"."PER_PAY_PRFL_ID"="T2"."ROW_ID"(+))
55 - access("T27"."BL_ADDR_ID"="T1"."ROW_ID"(+))
57 - access("T27"."BL_ADDR_ID"="T22"."ROW_ID"(+))
59 - access("T8"."BU_ID"="T5"."PAR_ROW_ID"(+))
61 - access("T27"."REMIT_ORG_EXT_ID"="T16"."PAR_ROW_ID"(+))
63 - access("T27"."ACCNT_ID"="T25"."PAR_ROW_ID"(+))
65 - access("T25"."ROW_ID"="T13"."OU_EXT_ID"(+) AND "T25"."PR_POSTN_ID"="T13"."POSITION_ID"(+))
67 - access("T13"."POSITION_ID"="T6"."PAR_ROW_ID"(+))
69 - access("T6"."PR_EMP_ID"="T11"."PAR_ROW_ID"(+))
71 - access("T25"."BU_ID"="T10"."PAR_ROW_ID"(+))
73 - access("T3"."CG_ASSSET_ID"="T17"."ROW_ID"(+))
75 - access("T27"."BL_ADDR_ID"="T9"."ADDR_PER_ID"(+) AND "T27"."ACCNT_ID"="T9"."ACCNT_ID"(+))
filter("T27"."ACCNT_ID"="T9"."ACCNT_ID"(+))
76 - access("T13"."POSITION_ID"="T7"."ROW_ID"(+))
78 - access("T27"."ACCNT_ID"="T24"."PAR_ROW_ID"(+))
117 rows selected.SQL> EXPLAIN PLAN FOR
2 SELECT * FROM SIEBEL.S_INVOICE T27 WHERE T27.INVC_TYPE_CD=:1;
Explained.
SQL> SELECT * FROM TABLE(DBMS_XPLAN.DISPLAY);
PLAN_TABLE_OUTPUT
Plan hash value: 1810797629
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 39M| 9G| 2016K (8)| 00:53:59 |
|* 1 | TABLE ACCESS FULL| S_INVOICE | 39M| 9G| 2016K (8)| 00:53:59 |
Predicate Information (identified by operation id):
1 - filter("T27"."INVC_TYPE_CD"=:1)
13 rows selected.Edited by: KODS on Feb 13, 2013 1:08 PMDear Ivan,
Please find the details below.
select * from dba_indexes where index_name = 'S_INVOICE_U1';
OWNER INDEX_NAME INDEX_TYPE TABLE_OWNER TABLE_NAME TABLE_TYPE UNIQUENESS COMPRESSION PREFIX_LENGTH TABLESPACE_NAME INI_TRANS MAX_TRANS INITIAL_EXTENT NEXT_EXTENT MIN_EXTENTS MAX_EXTENTS PCT_INCREASE PCT_THRESHOLD INCLUDE_COLUMN FREELISTS FREELIST_GROUPS PCT_FREE LOGGING BLEVEL LEAF_BLOCKS DISTINCT_KEYS AVG_LEAF_BLOCKS_PER_KEY AVG_DATA_BLOCKS_PER_KEY CLUSTERING_FACTOR STATUS NUM_ROWS SAMPLE_SIZE LAST_ANALYZED DEGREE INSTANCES PARTITIONED TEMPORARY GENERATED SECONDARY BUFFER_POOL USER_STATS DURATION PCT_DIRECT_ACCESS ITYP_OWNER ITYP_NAME PARAMETERS GLOBAL_STATS DOMIDX_STATUS DOMIDX_OPSTATUS FUNCIDX_STATUS JOIN_INDEX IOT_REDUNDANT_PKEY_ELIM DROPPED
SIEBEL S_INVOICE_U1 NORMAL SIEBEL S_INVOICE TABLE UNIQUE DISABLED CRMSBL_AEM_INDEX 2 255 65536 1 2147483645 10 NO 3 902796 196739390 1 1 125598294 VALID 196739390 196739390 10-02-13 1 1 NO N N N DEFAULT NO YES NO NO NO
select * from dba_ind_columns where index_name = 'S_INVOICE_U1' order by column_position;
INDEX_OWNER INDEX_NAME TABLE_OWNER TABLE_NAME COLUMN_NAME COLUMN_POSITION COLUMN_LENGTH CHAR_LENGTH DESCEND
SIEBEL S_INVOICE_U1 SIEBEL S_INVOICE INVC_NUM 1 200 50 ASC
SIEBEL S_INVOICE_U1 SIEBEL S_INVOICE INVC_TYPE_CD 2 120 30 ASC
SIEBEL S_INVOICE_U1 SIEBEL S_INVOICE CONFLICT_ID 3 60 15 ASC -
Select query taking more time..
Hi friends..
The below inner join statement is taking more time , can any body sugget me to improve the performance . I tried FOR ALL ENTRIES also but that also taking more time than inner join statement .
SELECT a~vbeln from vbap as a inner join vakpa as b
on avbeln = bvbeln
into corresponding fields of table IT_VAKPA
where a~WERKS IN S_IWERKS
and a~pstyv NE 'ZRS'
and b~vkorg = IVKORG
and b~audat IN IAUDAT
and b~vtweg IN IVTWEG.
Regards
ChetanHi Chetan ,
VAKPA is an index table. From the select query , it has been observed that you are not fetching any data from VAKPA. Only you have added some selection paramenters in where clause of select query.
My suggestion will be instead of using VAKPA in inner join you use VBAK along with VBAP. All the fields that you are using as selection condition from VAKPA are there in VBAK.
I am sure performance of query will be improved.
If still duo to business logic you need to use VAKPA, try to create secondary non unique index on fields VKORD,AUDATand VTWEG on table VAKPA.
However I will recommend you to go for first option only. If this does not work then go for second option.
Hopfully this will help you.
Regards,
Nikhil -
BSAD table is taking more time in select query.
Hi ,
The below SELECT query is taking more time , there is no any secondary index is there .
Can anybody suggest how to improve it .
SELECT bukrs
kunnr
augdt
augbl
gjahr
belnr
budat
bldat
waers
xblnr
BLART
monat
shkzg
gsber
DMBTR
WRBTR
prctr
FROM BSAD INTO TABLE gt_bsad
WHERE bukrs = p_bukrs
AND kunnr IN so_kunnr
AND budat IN so_budat
AND xblnr IN so_xblnr
AND ( blart EQ 'DA' OR
blart EQ 'DZ' OR
blart EQ 'ZP' OR "D03K904574
blart EQ 'KZ' OR "D03K904574
blart EQ 'DP' )
AND PRCTR IN R_PC.
Thanks in advance
Regards
chetanHi Chetan ,
I will suggest you two things :
1. Try to add Secondary ( Non-unique) index on table BSAD with fields : mandt,bukrs,kunnr,budat,xblnr,blart,prctr.
but before adding this index test the selectivity of this index by going to Tcode DB05
2. In the select query you have used OR condition for blart. Instead of this try to create a ranges table for blart and append the values 'DA','DZ','ZP','KZ','DP' and use this in the select query. This will improve the performance for sure.
Hope this will help to ypu.
Regards,
Nikhil -
Query is taking more time to execute
Hi,
Query is taking more time to execute.
But when i execute same query in other server then it is giving immediate output.
What is the reason of it.
thanks in advance.'My car doesn't start, please help me to start my car'
Do you think we are clairvoyant?
Or is your salary subtracted for every letter you type here?
Please be aware this is not a chatroom, and we can not see your webcam.
Sybrand Bakker
Senior Oracle DBA -
Query is taking more time to execute in PROD
Hi All,
Can anyone tell me why this query is taking more time when I am using for single trx_number record it is working fine but when I am trying to use all the records it is not fatching any records and it is keep on running.
SELECT DISTINCT OOH.HEADER_ID
,OOH.ORG_ID
,ct.CUSTOMER_TRX_ID
,ool.ship_from_org_id
,ct.trx_number IDP_SHIPMENT_ID
,ctt.type STATUS_CODE
,SYSDATE STATUS_DATE
,ooh.attribute16 IDP_ORDER_NBR --Change based on testing on 21-JUL-2010 in UAT
,lpad(rac_bill.account_number,6,0) IDP_BILL_TO_CUSTOMER_NBR
,rac_bill.orig_system_reference
,rac_ship_party.party_name SHIP_TO_NAME
,raa_ship_loc.address1 SHIP_TO_ADDR1
,raa_ship_loc.address2 SHIP_TO_ADDR2
,raa_ship_loc.address3 SHIP_TO_ADDR3
,raa_ship_loc.address4 SHIP_TO_ADDR4
,raa_ship_loc.city SHIP_TO_CITY
,NVL(raa_ship_loc.state,raa_ship_loc.province) SHIP_TO_STATE
,raa_ship_loc.country SHIP_TO_COUNTRY_NAME
,raa_ship_loc.postal_code SHIP_TO_ZIP
,ooh.CUST_PO_NUMBER CUSTOMER_ORDER_NBR
,ooh.creation_date CUSTOMER_ORDER_DATE
,ool.actual_shipment_date DATE_SHIPPED
,DECODE(mp.organization_code,'CHP', 'CHESAPEAKE'
,'CSB', 'CHESAPEAKE'
,'DEP', 'CHESAPEAKE'
,'CHESAPEAKE') SHIPPED_FROM_LOCATION --'MEMPHIS' --'HOUSTON'
,ooh.freight_carrier_code FREIGHT_CARRIER
,NVL(XX_FSG_NA_FASTRAQ_IFACE.get_invoice_amount ('FREIGHT',ct.customer_trx_id,ct.org_id),0)
+ NVL(XX_FSG_NA_FASTRAQ_IFACE.get_line_fr_amt ('FREIGHT',ct.customer_trx_id,ct.org_id),0)FREIGHT_CHARGE
,ooh.freight_terms_code FREIGHT_TERMS
,'' IDP_BILL_OF_LADING
,(SELECT WAYBILL
FROM WSH_DELIVERY_DETAILS_OE_V
WHERE -1=-1
AND SOURCE_HEADER_ID = ooh.header_id
AND SOURCE_LINE_ID = ool.line_id
AND ROWNUM =1) WAYBILL_CARRIER
,'' CONTAINERS
,ct.trx_number INVOICE_NBR
,ct.trx_date INVOICE_DATE
,NVL(XX_FSG_NA_FASTRAQ_IFACE.get_invoice_amount ('LINE',ct.customer_trx_id,ct.org_id),0) +
NVL(XX_FSG_NA_FASTRAQ_IFACE.get_invoice_amount ('TAX',ct.customer_trx_id,ct.org_id),0) +
NVL(XX_FSG_NA_FASTRAQ_IFACE.get_invoice_amount ('FREIGHT',ct.customer_trx_id,ct.org_id),0)INVOICE_AMOUNT
,NULL IDP_TAX_IDENTIFICATION_NBR
,NVL(XX_FSG_NA_FASTRAQ_IFACE.get_invoice_amount ('TAX',ct.customer_trx_id,ct.org_id),0) TAX_AMOUNT_1
,NULL TAX_DESC_1
,NULL TAX_AMOUNT_2
,NULL TAX_DESC_2
,rt.name PAYMENT_TERMS
,NULL RELATED_INVOICE_NBR
,'Y' INVOICE_PRINT_FLAG
FROM ra_customer_trx_all ct
,ra_cust_trx_types_all ctt
,hz_cust_accounts rac_ship
,hz_cust_accounts rac_bill
,hz_parties rac_ship_party
,hz_locations raa_ship_loc
,hz_party_sites raa_ship_ps
,hz_cust_acct_sites_all raa_ship
,hz_cust_site_uses_all su_ship
,ra_customer_trx_lines_all rctl
,oe_order_lines_all ool
,oe_order_headers_all ooh
,mtl_parameters mp
,ra_terms rt
,OE_ORDER_SOURCES oos
,XLA_AR_INV_AEL_SL_V XLA_AEL_SL_V
WHERE ct.cust_trx_type_id = ctt.cust_trx_type_id
AND ctt.TYPE <> 'BR'
AND ct.org_id = ctt.org_id
AND ct.ship_to_customer_id = rac_ship.cust_account_id
AND ct.bill_to_customer_id = rac_bill.cust_account_id
AND rac_ship.party_id = rac_ship_party.party_id
AND su_ship.cust_acct_site_id = raa_ship.cust_acct_site_id
AND raa_ship.party_site_id = raa_ship_ps.party_site_id
AND raa_ship_loc.location_id = raa_ship_ps.location_id
AND ct.ship_to_site_use_id = su_ship.site_use_id
AND su_ship.org_id = ct.org_id
AND raa_ship.org_id = ct.org_id
AND ct.customer_trx_id = rctl.customer_trx_id
AND ct.org_id = rctl.org_id
AND rctl.interface_line_attribute6 = to_char(ool.line_id)
AND rctl.org_id = ool.org_id
AND ool.header_id = ooh.header_id
AND ool.org_id = ooh.org_id
AND mp.organization_id = ool.ship_from_org_id
AND ooh.payment_term_id = rt.term_id
AND xla_ael_sl_v.last_update_date >= NVL(p_last_update_date,xla_ael_sl_v.last_update_date)
AND ooh.order_source_id = oos.order_source_id --Change based on testing on 19-May-2010
AND oos.name = 'FASTRAQ' --Change based on testing on 19-May-2010
AND ooh.org_id = g_org_id --Change based on testing on 19-May-2010
AND ool.flow_status_code = 'CLOSED'
AND xla_ael_sl_v.trx_hdr_id = ct.customer_trx_id
AND trx_hdr_table = 'CT'
AND xla_ael_sl_v.gl_transfer_status = 'Y'
AND xla_ael_sl_v.accounted_dr IS NOT NULL
AND xla_ael_sl_v.org_id = ct.org_id;
-- AND ct.trx_number = '2000080';
}Hello Friend,
You query will definitely take more time or even fail in PROD,becuase the way it is written. Here are my few observations, may be it can help :-
1. XLA_AR_INV_AEL_SL_V XLA_AEL_SL_V : Never use a view inside such a long query , becuase View is just a window to the records.
and when used to join other table records, then all those tables which are used to create a view also becomes part of joining conition.
First of all please check if you really need this view. I guess you are using to check if the records have been created as Journal entries or not ?
Please check the possbility of finding it through other AR tables.
2. Remove _ALL tables instead use the corresponding org specific views (if you are in 11i ) or the sysnonymns ( in R12 )
For example : For ra_cust_trx_types_all use ra_cust_trx_types.
This will ensure that the query will execute only for those ORG_IDs which are assigned to that responsibility.
3. Check with the DBA whether the GATHER SCHEMA STATS have been run atleast for ONT and RA tables.
You can also check the same using
SELECT LAST_ANALYZED FROM ALL_TABLES WHERE TABLE_NAME = 'ra_customer_trx_all'.
If the tables are not analyzed , the CBO will not be able to tune your query.
4. Try to remove the DISTINCT keyword. This is the MAJOR reason for this problem.
5. If its a report , try to separate the logic in separate queries ( using a procedure ) and then populate the whole data in custom table, and use this custom table for generating the
report.
Thanks,
Neeraj Shrivastava
[email protected]
Edited by: user9352949 on Oct 1, 2010 8:02 PM
Edited by: user9352949 on Oct 1, 2010 8:03 PM -
Cube content deletion is taking more time than usual.
Hi Experts,
We have a Process chain which ideally should run in every two hours. This chain has a delete data cube content step before the new data is loaded in the cube. This chain is running fine for one instance & the other instance is taking more time so it is quite intermittent.
In the process chain we are also deleting contents from the Dimension tables (in the delete content step). Need your inputs to improve the performance of this step.
Thanks & Regards
Mayank Tyagi.Hi Mayank ,
You can delete the indexes of the cube before deleting the contents of the cube . The concept is same as of data loading that data loads happens faster when indexes are deleted .
If you are having aggregates over this cube , then that aggregate will be also adjusted .
Kind Regards,
Ashutosh Singh -
"3.x Analyzer Server" EVENT taking more Time when Executing Query
Hi All,
When I am Executing the Query Through RSRT taking more time. When I have checked the statistics
and observed that "3.x Analyzer Server" EVENT taking more Time .
What I have to do , How I will reduce this 3.x Analyzer Server EVENT time.
Please Suggest me.
Thanks,
Kiran ManyamHello,
Chk this on query performance:
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/ce7fb368-0601-0010-64ba-fadc985a1f94
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/4c0ab590-0201-0010-bd9a-8332d8b4f09c
Query Performance
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Dhanya -
Update query in sql taking more time
Hi
I am running an update query which takeing more time any help to run this fast.
update arm538e_tmp t
set t.qtr5 =(select (sum(nvl(m.net_sales_value,0))/1000) from mnthly_sales_actvty m
where m.vndr#=t.vndr#
and m.cust_type_cd=t.cust_type
and m.cust_type_cd<>13
and m.yymm between 201301 and 201303
group by m.vndr#,m.cust_type_cd;
help will be appreciable
thank youThis is the Reports forum. Ask this in the SQL and PL/SQL forum.
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Update query which taking more time
Hi
I am running an update query which takeing more time any help to run this fast.
update arm538e_tmp t
set t.qtr5 =(select (sum(nvl(m.net_sales_value,0))/1000) from mnthly_sales_actvty m
where m.vndr#=t.vndr#
and m.cust_type_cd=t.cust_type
and m.cust_type_cd<>13
and m.yymm between 201301 and 201303
group by m.vndr#,m.cust_type_cd;
help will be appreciable
thank you
Edited by: 960991 on Apr 16, 2013 7:11 AM960991 wrote:
Hi
I am running an update query which takeing more time any help to run this fast.
update arm538e_tmp t
set t.qtr5 =(select (sum(nvl(m.net_sales_value,0))/1000) from mnthly_sales_actvty m
where m.vndr#=t.vndr#
and m.cust_type_cd=t.cust_type
and m.cust_type_cd13
and m.yymm between 201301 and 201303
group by m.vndr#,m.cust_type_cd;
help will be appreciable
thank youUpdates with subqueries can be slow. Get an execution plan for the update to see what SQL is doing.
Some things to look at ...
1. Are you sure you posted the right SQL? I could not "balance" the parenthesis - 4 "(" and 3 ")"
2. Unnecessary "(" ")" in the subquery "(sum" are confusing
3. Updates with subqueries can be slow. The tqtr5 value seems to evaluate to a constant. You might improve performance by computing the value beforehand and using a variable instead of the subquery
4. Subquery appears to be correlated - good! Make sure the subquery is properly indexed if it reads < 20% of the rows in the table (this figure depends on the version of Oracle)
5. Is tqtr5 part of an index? It is a bad idea to update indexed columns
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