Help in tuning query
Please help me in tuning sql queries. I am a bit new to this. I have generated an Explain plan(plan table) for a particular sql statement using sql navigator. What do i do with this information exactly in order to tune the statement. It is showing some table access full,merge join cartesian, hash join semi and so on. Can anyone guide me with the general tuning procedure with respect to using the plan table analysis.
Hi,
There is a good metalink note about this one
46234.1 : Interpreting Explain plan
Nicolas.
Similar Messages
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Hi All,
I have the following query which seems to be blowing our temp tablespace.
Can anyone help me in tuning this?
The query and explian plan are below.
Thanks for all your help
select trim(b.pnr_reference) || ',"' || to_char(b.booking_date, 'DD-MON-YY') || '","' || trim(p.title) || '","' ||
trim(p.forename) || '","' || trim(p.surname) || '
","' || trim(p.email) || '","' || trim(b.home_phone) || '","' || trim(b.address_line_1) || '","' ||
trim(b.address_line_2) || '","' || trim(b.address_line_3)
|| '","' || trim(b.postcode) || '","' || trim(b.country_code) || '","' || null || '","' || -- frequent flyer number
trim(b.promo_opt_in) || '","' || trim(bsout.flight_number) || '","' || to_char(bsout.departure_date, 'DD-MON-YY') || '","' ||trim(bsret.flight_number) ||
'","' || to_char(bsret.departure_date, 'DD-MON-YY') || ' ","' || pax_cnt.num_adults || '","' || pax_cnt.num_children || '","' || pax_cnt.num_infants || '","' ||fares_by_booking.gross_fare_adult || '","' || fares_by_booking.gross_fare_child || '","' ||fares_by_booking.gross_fare_infant || '","' || fares_by_booking.total_gross_fare || '","' || trim(ps.fare_basis) || '","' ||trim(ps1.fare_basis) || '","' || null || '","' || -- user_id null || '","' || -- ip_address
fares_by_booking.currency || '","' || trim(bsout.dep_airport_code) || '","' ||trim(bsout.dest_airport_code) || '","' ||fares_by_booking.gross_fare_adult*ex.exchange_rate || '","' || null || '","' || -- iata_no
trim(b.other_opt_in) || '","' || c.returned || '","' || c.not_available ||'","' || c.on_request || '","' || c.matched || '"
,"' || trim(c.location_code) || '","' || to_char(c.pickup_date, 'DD-MON-YY') || '","' || to_char(c.return_date, 'DD-MON-YY') || '","' || c.period || '","' ||
trim(cb.book_ref) || '","' || cb.car_num || '","' ||
c.avail_warn_code || '","' || c.avail_err_code || '",
"' || c.res_warn_code || '","' || c.res_err_code |
| '"' from bookings b, car_hire_transactions c, car_hire_bookings cb, pax p, booking_sectors bsout, booking_sectors bsret, pax_sectors ps, pax_sectors ps1,
exchange_rates ex, (select b2.booking_id, sum(decode(p2.pax_type,'A',1,0)) num_adults, sum(decode(p2.pax_type,'C',1,0)) num_children, sum(decode(p2.pax_type,'I',1
,0)) num_infants from pax p2, bookings b2
where b2.booking_id = p2.booking_id and b2.booking_date
between TO_DATE('08-08-2005/00:00', 'DD-MM-YYYY/HH24:MI') and TO_DATE('15-08-2005/00:00', 'DD-MM-YYYY/HH24:MI') group by
b2.booking_id) pax_cnt, (select booking_id, currency, sum(gross_fare_adult) gross_fare_adult,
sum(gross_fare_child) gross_fare_child, sum(gross_fare_infant) gross_fare_infant,sum(total_gross_fare) total_gross_fare from (select b3.booking_id booking_id, ps3.sector_seq,
ps3.currency_code currency, max(decode(p3.pax_type,'A',ps3.gross_fare,0)) gross_fare_adult,
max(decode(p3.pax_type,'C',ps3.gross_fare,0)) gross_fare_child
, max(decode(p3.pax_type,'I',ps3.gross_fare,0
)) gross_fare_infant, sum(ps3.gross_fare) total_gross_fare from pax p3,pax_sectors ps3, bookings b3 where b3.booking_id = p3.booking_id and b3.booking_id = ps3.booking_id and p3.pax_seq = ps3.pax_seq and b3.booking_date between TO_DATE('08-08-2005/00:00', 'DD-MM-Y
YYY/HH24:MI') and TO_DATE('15-08-2005/00:00', 'DD-MM-YYYY/HH24:M
I') group by b3.booking_id, ps3
.currency_code, ps3.sector_seq) fares_by_sector group by booking_id, currency) fares_by_booking where
b.booking_date between TO_DATE('08-08-2005/00:00', 'DD-MM-YYYY/
HH24:MI') and TO_DATE('15-08-2005/00:00', 'DD-MM-YYYY/HH24:MI')
and b.car_hire_id = c.car_hire_id(+) and c.car_hire_id = cb.
car_hire_id(+) and p.booking_id = b.booking_id and p.pax_seq
= 1 and b.booking_id = bsout.booking_id and bsout.sector_seq = 1 and b.booking_id = bsret.booking_id(+) and bsret.sector_seq(+) = 2 and p.booking_id = ps.booking_id and p.pax_seq
= ps.pax_seq and ps.sector_seq = 1 and p.booking_id = ps1.booking_id(+) and p.pax_seq = ps1.pax_seq(+) and ps1.sector_seq(+) = 2 and b.booking_id = pax_cnt.booking_id and b.booking_id = fares_by_booking.booking_id and ex.currency_from = fares_by_booking.currency and ex.currency_to = 'GBP' and ex.date_entered = (select max(ex2.date_entered) from exchange_rates ex2 where currency_from = fares_by_booking.currency and currency_to = 'GBP' and ex2.date_entered < b.booking_date)
Explain plan
11:34:28 sqlpplus> /
Elapsed: 00:00:00.00
Execution Plan
0
SELECT STATEMENT Optimizer=CHOOSE (Cost=16 Card=1 Bytes=973)
1 0
HASH JOIN (OUTER) (Cost=16 Card=1 Bytes=973)
2 1
HASH JOIN (Cost=9 Card=1 Bytes=958)
3 2
NESTED LOOPS (OUTER) (Cost=6 Card=1 Bytes=902)
4 3
NESTED LOOPS (Cost=6 Card=1 Bytes=871)
5 4
NESTED LOOPS (OUTER) (Cost=6 Card=1 Bytes=812)
6 5
NESTED LOOPS (Cost=6 Card=1 Bytes=753)
7 6
NESTED LOOPS (Cost=6 Card=1 Bytes=533)
8 7
NESTED LOOPS (OUTER) (Cost=6 Card=1 Bytes=475)
9 8
NESTED LOOPS (Cost=6 Card=1 Bytes=429)
10 9
NESTED LOOPS (Cost=6 Card=1 Bytes=412)
11 10
VIEW (Cost=6 Card=1 Bytes=75)
12 11
SORT (GROUP BY) (Cost=6 Card=1 Bytes=84)
13 12
VIEW (Cost=6 Card=1 Bytes=84)
14 13
SORT (GROUP BY) (Cost=6 Card=1 Bytes=118)
15 14
FILTER
16 15
TABLE ACCESS (BY INDEX ROWID) OF 'PAX_SECTORS'
17 16
NESTED LOOPS (Cost=4 Card=1 Bytes=118)
18 17
NESTED LOOPS (Cost=4 Card=1 Bytes=60)
19 18
VIEW OF 'index$_join$_017' (Cost=4 Card=1
Bytes=31)
20 19
HASH JOIN
21 20
INDEX (FAST FULL SCAN) OF 'BOO_PK' (UN
IQUE) (Cost=1 Card=1 Bytes=31)
22 20
INDEX (FAST FULL SCAN) OF 'BOO_SHARES_
UID_UK' (UNIQUE) (Cost=1 Card=1 Bytes=31)
23 18
TABLE ACCESS (BY INDEX ROWID) OF 'PAX'
24 23
INDEX (RANGE SCAN) OF 'PAX_PK' (UNIQUE)
25 17
INDEX (RANGE SCAN) OF 'PXS_PAX_FK_I' (NON-UN
IQUE)
26 10
TABLE ACCESS (BY INDEX ROWID) OF 'BOOKINGS'
27 26
INDEX (UNIQUE SCAN) OF 'BOO_PK' (UNIQUE)
28 9
TABLE ACCESS (BY INDEX ROWID) OF 'EXCHANGE_RATES'
29 28
INDEX (UNIQUE SCAN) OF 'EXR_PK' (UNIQUE)
30 29
SORT (AGGREGATE)
31 30
FIRST ROW (Cost=2 Card=284 Bytes=3692)
32 31
INDEX (RANGE SCAN (MIN/MAX)) OF 'EXR_PK' (UNIQUE) (C
ost=2 Card=200)
33 8
TABLE ACCESS (BY INDEX ROWID) OF 'BOOKING_SECTORS'
34 33
INDEX (UNIQUE SCAN) OF 'BKS_PK' (UNIQUE)
35 7
TABLE ACCESS (BY INDEX ROWID) OF 'BOOKING_SECTORS'
36 35
INDEX (UNIQUE SCAN) OF 'BKS_PK' (UNIQUE)
37 6
TABLE ACCESS (BY INDEX ROWID) OF 'PAX'
38 37
INDEX (UNIQUE SCAN) OF 'PAX_PK' (UNIQUE)
39 5
TABLE ACCESS (BY INDEX ROWID) OF 'PAX_SECTORS'
40 39
INDEX (UNIQUE SCAN) OF 'PXS_UK' (UNIQUE)
41 4
TABLE ACCESS (BY INDEX ROWID) OF 'PAX_SECTORS'
42 41
INDEX (UNIQUE SCAN) OF 'PXS_UK' (UNIQUE)
43 3
TABLE ACCESS (BY INDEX ROWID) OF 'CAR_HIRE_TRANSACTIONS'
44 43
INDEX (UNIQUE SCAN) OF 'CHT_PK' (UNIQUE)
45 2
VIEW (Cost=3 Card=1 Bytes=56)
46 45
SORT (GROUP BY) (Cost=3 Card=1 Bytes=47)
47 46
FILTER
48 47
TABLE ACCESS (BY INDEX ROWID) OF 'PAX'
49 48
NESTED LOOPS (Cost=1 Card=1 Bytes=47)
50 49
TABLE ACCESS (BY INDEX ROWID) OF 'BOOKINGS' (Cost=1 Card=1 Bytes
=31)
51 50
INDEX (SKIP SCAN) OF 'BOO_SHARES_UID_UK' (UNIQUE)
52 49
INDEX (RANGE SCAN) OF 'PAX_PK' (UNIQUE)
53 1
TABLE ACCESS (FULL) OF 'CAR_HIRE_BOOKINGS' (Cost=6 Card=7 Bytes=105)Hi Guys,
As requested here is the formatted sql.
We are using pga_aggregate_target which is set to 25165824. I dont know if this is relevant but the sort_area_size is set to 524288.
Thanks
SQL
SELECT trim(b.pnr_reference) || ',"' || to_char(b.booking_date, 'DD-MON-YY')
|| '","' || trim(p.title) || '","' || trim(p.forename) || '","' ||
trim(p.surname) || '","' || trim(p.email) || '","' || trim(b.home_phone)
|| '","' || trim(b.address_line_1) || '","' || trim(b.address_line_2)
|| '","' || trim(b.address_line_3) || '","' || trim(b.postcode) ||
'","' || trim(b.country_code) || '","' || null || '","' || trim(
b.promo_opt_in) || '","' || trim(bsout.flight_number) || '","' ||
to_char(bsout.departure_date, 'DD-MON-YY') || '","' || trim(
bsret.flight_number) || '","' || to_char(bsret.departure_date,
'DD-MON-YY') || '","' || pax_cnt.num_adults || '","' ||
pax_cnt.num_children || '","' || pax_cnt.num_infants || '","' ||
fares_by_booking.gross_fare_adult || '","' ||
fares_by_booking.gross_fare_child || '","' ||
fares_by_booking.gross_fare_infant || '","' ||
fares_by_booking.total_gross_fare || '","' || trim(ps.fare_basis) ||
'","' || trim(ps1.fare_basis) || '","' || null || '","' || null || '","'
|| fares_by_booking.currency || '","' || trim(bsout.dep_airport_code)
|| '","' || trim(bsout.dest_airport_code) || '","' ||
fares_by_booking.gross_fare_adult * ex.exchange_rate || '","' || null
|| '","' || trim(b.other_opt_in) || '","' || c.returned || '","' ||
c.not_available || '","' || c.on_request || '","' || c.matched || '","'
|| trim(c.location_code) || '","' || to_char(c.pickup_date, 'DD-MON-YY'
) || '","' || to_char(c.return_date, 'DD-MON-YY') || '","' || c.period
|| '","' || trim(cb.book_ref) || '","' || cb.car_num || '","' ||
c.avail_warn_code || '","' || c.avail_err_code || '","' ||
c.res_warn_code || '","' || c.res_err_code || '"'
FROM bookings b, car_hire_transactions c, car_hire_bookings cb, pax p,
booking_sectors bsout, booking_sectors bsret, pax_sectors ps,
pax_sectors ps1, exchange_rates ex, (SELECT b2.booking_id, sum(
decode(p2.pax_type, 'A', 1,
0)) num_adults, sum(
decode(p2.pax_type, 'C', 1,
0)) num_children,
sum(decode(p2.pax_type,
'I', 1, 0)) num_infants
FROM pax p2, bookings b2
WHERE b2.booking_id = p2.booking_id
AND b2.booking_date BETWEEN to_date('08-08-2005/00:00',
'DD-MM-YYYY/HH24:MI') AND to_date('15-08-2005/00:00',
'DD-MM-YYYY/HH24:MI')
GROUP BY b2.booking_id) pax_cnt, (SELECT booking_id, currency,
sum(gross_fare_adult)
gross_fare_adult,
sum(gross_fare_child)
gross_fare_child,
sum(gross_fare_infant)
gross_fare_infant,
sum(total_gross_fare)
total_gross_fare
FROM (SELECT b3.booking_id booking_id, ps3.sector_seq,
ps3.currency_code currency, max(decode(p3.pax_type,
'A', ps3.gross_fare, 0)) gross_fare_adult, max(
decode(p3.pax_type, 'C', ps3.gross_fare, 0))
gross_fare_child, max(decode(p3.pax_type, 'I',
ps3.gross_fare, 0)) gross_fare_infant, sum(
ps3.gross_fare) total_gross_fare
FROM pax p3, pax_sectors ps3, bookings b3
WHERE b3.booking_id = p3.booking_id
AND b3.booking_id = ps3.booking_id
AND p3.pax_seq = ps3.pax_seq
AND b3.booking_date BETWEEN to_date(
'08-08-2005/00:00', 'DD-MM-YYYY/HH24:MI') AND
to_date('15-08-2005/00:00', 'DD-MM-YYYY/HH24:MI')
GROUP BY b3.booking_id, ps3.currency_code,
ps3.sector_seq) fares_by_sector
GROUP BY booking_id, currency) fares_by_booking
WHERE b.booking_date BETWEEN to_date('08-08-2005/00:00',
'DD-MM-YYYY/HH24:MI') AND to_date('15-08-2005/00:00',
'DD-MM-YYYY/HH24:MI')
AND b.car_hire_id = c.car_hire_id (+)
AND c.car_hire_id = cb.car_hire_id (+)
AND p.booking_id = b.booking_id
AND p.pax_seq = 1
AND b.booking_id = bsout.booking_id
AND bsout.sector_seq = 1
AND b.booking_id = bsret.booking_id (+)
AND bsret.sector_seq (+) = 2
AND p.booking_id = ps.booking_id
AND p.pax_seq = ps.pax_seq
AND ps.sector_seq = 1
AND p.booking_id = ps1.booking_id (+)
AND p.pax_seq = ps1.pax_seq (+)
AND ps1.sector_seq (+) = 2
AND b.booking_id = pax_cnt.booking_id
AND b.booking_id = fares_by_booking.booking_id
AND ex.currency_from = fares_by_booking.currency
AND ex.currency_to = 'GBP'
AND ex.date_entered = (SELECT max(ex2.date_entered)
FROM exchange_rates ex2
WHERE currency_from = fares_by_booking.currency
AND currency_to = 'GBP'
AND ex2.date_entered < b.booking_date)
explain_plan
Execution Steps:
Step # Step Name
41 SELECT STATEMENT
40 FILTER
36 NESTED LOOPS [OUTER]
33 NESTED LOOPS
30 HASH JOIN [OUTER]
28 NESTED LOOPS [OUTER]
25 HASH JOIN
23 HASH JOIN [OUTER]
21 HASH JOIN
15 HASH JOIN
5 HASH JOIN
3 HASH JOIN
1 CAM_OWNER.PAX_SECTORS TABLE ACCESS [FULL]
2 CAM_OWNER.PAX TABLE ACCESS [FULL]
4 CAM_OWNER.BOOKINGS TABLE ACCESS [FULL]
14 . VIEW
13 SORT [GROUP BY]
12 . VIEW
11 SORT [GROUP BY]
10 HASH JOIN
8 HASH JOIN
6 CAM_OWNER.BOOKINGS TABLE ACCESS [FULL]
7 CAM_OWNER.PAX_SECTORS TABLE ACCESS [FULL]
9 CAM_OWNER.PAX TABLE ACCESS [FULL]
20 . VIEW
19 SORT [GROUP BY]
18 HASH JOIN
16 CAM_OWNER.BOOKINGS TABLE ACCESS [FULL]
17 CAM_OWNER.PAX TABLE ACCESS [FULL]
22 CAM_OWNER.PAX_SECTORS TABLE ACCESS [FULL]
24 CAM_OWNER.EXCHANGE_RATES TABLE ACCESS [FULL]
27 CAM_OWNER.CAR_HIRE_TRANSACTIONS TABLE ACCESS [BY INDEX ROWID]
26 CAM_OWNER.CHT_PK INDEX [UNIQUE SCAN]
29 CAM_OWNER.CAR_HIRE_BOOKINGS TABLE ACCESS [FULL]
32 CAM_OWNER.BOOKING_SECTORS TABLE ACCESS [BY INDEX ROWID]
31 CAM_OWNER.BKS_PK INDEX [UNIQUE SCAN]
35 CAM_OWNER.BOOKING_SECTORS TABLE ACCESS [BY INDEX ROWID]
34 CAM_OWNER.BKS_PK INDEX [UNIQUE SCAN]
39 SORT [AGGREGATE]
38 FIRST ROW
37 CAM_OWNER.EXR_PK INDEX [RANGE SCAN (MIN/MAX)] -
Need help th tuning query or re write the query--
Hi,
Need help to tune the below query or rewrite th query for reducing the execution time Please find the query and explain plan.
QUERY
explain plan FOR SELECT consumer_key,product_key,days_in_product,20100201 period_key FROM
(SELECT consumer_key,
product_key,
days_in_product,
row_number() over ( Partition BY consumer_key order by Days_in_product DESC) row_num
FROM
(SELECT consumer_key,
product_key,
SUM(no_ofdays) days_in_product
FROM
(SELECT pcv.consumer_key,
pcv.product_key,
pcv.product_consumer_valid_from,
pcv.product_consumer_valid_to,
DECODE (SIGN(20100201000000-product_consumer_valid_from),1,20100201000000,product_consumer_valid_from) period_start,
DECODE (SIGN(20100228235959-product_consumer_valid_to),1,product_consumer_valid_to,20100228235959) period_end,
CASE
WHEN to_number(TO_CHAR(cd.activation_date,'YYYYMMDDHH24MISS')) BETWEEN 20100201000000 AND 20100228235959
AND activation_date > to_Date(product_consumer_valid_to,'YYYYMMDDHH24MISS')
THEN 0
WHEN to_number(TO_CHAR(cd.activation_date,'YYYYMMDDHH24MISS')) BETWEEN 20100201000000 AND 20100228235959
AND activation_date BETWEEN to_Date(product_consumer_valid_from,'YYYYMMDDHH24MISS') AND to_Date(product_consumer_valid_to,'YYYYMMDDHH24MISS')
THEN
--to_char(activation_date,'MON-YYYY')='PERIOD_ACTIVE' and activation_date >= to_Date(product_consumer_valid_from,'YYYYMMDDHH24MISS') then
(to_date(DECODE (SIGN(20100228235959-product_consumer_valid_to),1,product_consumer_valid_to,20100228235959),'YYYYMMDDHH24MISS') - to_date(TO_CHAR(activation_date,'YYYYMMDDHH24MISS'),'YYYYMMDDHH24MISS') )
WHEN to_number(TO_CHAR(cd.activation_date,'YYYYMMDDHH24MISS')) < 20100201000000
THEN (to_date(DECODE (SIGN(20100228235959-product_consumer_valid_to),1,product_consumer_valid_to,20100228235959),'YYYYMMDDHH24MISS') - to_Date(DECODE (SIGN(20100201000000-product_consumer_valid_from),1,20100201000000,product_consumer_valid_from),'YYYYMMDDHH24MISS') )
WHEN to_number(TO_CHAR(cd.activation_date,'YYYYMMDDHH24MISS')) > 20100228235959
THEN 0
ELSE
--unusual situation
(to_date(DECODE (SIGN(20100228235959-product_consumer_valid_to),1,product_consumer_valid_to,20100228235959),'YYYYMMDDHH24MISS') - to_Date(DECODE (SIGN(20100201000000-product_consumer_valid_from),1,20100201000000,product_consumer_valid_from),'YYYYMMDDHH24MISS') )
END No_ofDays
FROM cimtran.product_consumer_validity pcv,
consumer_dimension cd
WHERE pcv.consumer_key =cd.consumer_key
AND product_consumer_valid_to >= 20100201000000
AND product_consumer_valid_from <= 20100228235959
--and product_consumer_valid_from > '20090801000000'
ORDER BY consumer_key,
product_key,
product_consumer_valid_from
) a
GROUP BY consumer_key,
product_key
ORDER BY consumer_key,
product_key
) WHERE row_num=1 ;EXPLAIN PLAN
"PLAN_TABLE_OUTPUT"
"Plan hash value: 3823907703"
"| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time |"
"| 0 | SELECT STATEMENT | | 4665K| 231M| | 133K (1)| 00:31:08 |"
"|* 1 | VIEW | | 4665K| 231M| | 133K (1)| 00:31:08 |"
"|* 2 | WINDOW SORT PUSHED RANK| | 4665K| 173M| 232M| 133K (1)| 00:31:08 |"
"| 3 | VIEW | | 4665K| 173M| | 104K (1)| 00:24:18 |"
"| 4 | SORT GROUP BY | | 4665K| 182M| 729M| 104K (1)| 00:24:18 |"
"|* 5 | HASH JOIN | | 13M| 533M| 65M| 44241 (1)| 00:10:20 |"
"| 6 | TABLE ACCESS FULL | CONSUMER_DIMENSION | 2657K| 35M| | 4337 (1)| 00:01:01 |"
"|* 7 | TABLE ACCESS FULL | PRODUCT_CONSUMER_VALIDITY | 13M| 351M| | 15340 (2)| 00:03:35 |"
"Predicate Information (identified by operation id):"
" 1 - filter(""ROW_NUM""=1)"
" 2 - filter(ROW_NUMBER() OVER ( PARTITION BY ""CONSUMER_KEY"" ORDER BY "
" INTERNAL_FUNCTION(""DAYS_IN_PRODUCT"") DESC )<=1)"
" 5 - access(""PCV"".""CONSUMER_KEY""=""CD"".""CONSUMER_KEY"")"
" 7 - filter(""PRODUCT_CONSUMER_VALID_FROM""<=20100228235959 AND "
" ""PRODUCT_CONSUMER_VALID_TO"">=20100201000000)"I doubt that this query can be tuned without using indexes. There is a lot of unnecessary work specified in your query, like unnecessary intermediate sorting and selecting unused columns. The cost based optimizer recognized it and skips some of that unnecessary work, it seems. For clarity's sake, I would rewrite your query like below. Note that the query is untested:
select consumer_key
, max(product_key) keep (dense_rank last order by days_in_product) product_key
, max(days_in_product) days_in_product
, 20100201 period_key
from ( select pcv.consumer_key
, pcv.product_key
, sum
( case
when to_number(to_char(cd.activation_date,'yyyymmddhh24miss')) between 20100201000000 and 20100228235959
then
case
when cd.activation_date > to_date(pcv.product_consumer_valid_to,'yyyymmddhh24miss')
then
0
when cd.activation_date between to_date(pcv.product_consumer_valid_from,'yyyymmddhh24miss') and to_date(product_consumer_valid_to,'yyyymmddhh24miss')
then
to_date(to_char(pcv.product_consumer_valid_to),'yyyymmddhh24miss'))
- to_date(to_char(activation_date,'yyyymmddhh24miss'),'yyyymmddhh24miss')
end
when to_number(to_char(cd.activation_date,'yyyymmddhh24miss')) < 20100201000000
then
to_date(to_char(pcv.product_consumer_valid_to),'yyyymmddhh24miss'))
- to_date(to_char(pcv.product_consumer_valid_from),'yyyymmddhh24miss'))
when to_number(to_char(cd.activation_date,'yyyymmddhh24miss')) > 20100228235959
then
0
end
) days_in_product
from cimtran.product_consumer_validity pcv
, consumer_dimension cd
where pcv.consumer_key = cd.consumer_key
and product_consumer_valid_to >= 20100201000000
and product_consumer_valid_from <= 20100228235959
group by consumer_key
, product_key
group by consumer_keyRegards,
Rob. -
Tuning query with sdo_join in it
Hello all. I'm new to the forum, but I hope someone can help me tuning a spatial query. I have no DBA experience or education, but I'm writing SQL queries for a few years now, first in Oracle 9i (with Locator), now in Oracle 10g (10.2) and Oracle XE.
I’ve posted this in the Spatial forum as I suspect it’s mostly a spatial issue.
I have a table like:
CREATE TABLE CYCLORAMA (
DATASETID VARCHAR2(9 BYTE),
IMAGEID VARCHAR2(9 BYTE),
OPNAMEDATUM CHAR(20 BYTE),
GEOMETRIE MDSYS.SDO_GEOMETRY
)with only a standard spatial index on GEOMETRIE, and containing about 180000 records. IMAGEID is unique, but not defined as such. Geometry is SDO_POINT_TYPE for all records, like: MDSYS.SDO_GEOMETRY(2001,90112,MDSYS.SDO_POINT_TYPE(86039.572,439541.158,'null'),'null','null'). USER_SDO_GEOM_METADATA is filled with values used for all my geometries: SDO_DIM_ARRAY(SDO_DIM_ELEMENT('X',0,300000,,001), SDO_DIM_ELEMENT('Y',300000,600000,,001)) and SRID = 90112.
What I need to do is to find (and ultimately delete) all records that have another record with a different value for DATASETID, a higher value for OPNAMEDATUM and fall within 3 meters distance. What I came up with so far is:
select /*+ all_rows */ s.imageid
, sdo_geom.sdo_distance(s.geometrie,t.geometrie,0.1) dist
from cyclorama s, cyclorama t
, table(sdo_join('CYCLORAMA','GEOMETRIE','CYCLORAMA','GEOMETRIE','distance=3')) x
-- create a crosstable with records that may be within 3 meters distance
where s.rowid = x.rowid1 and x.rowid2 = t.rowid and not x.rowid1 = x.rowid2
-- filter 'duplicate matches' sdo_join generates for a self join, and select:
and s.datasetid != t.datasetid -- if in different dataset
and s.opnamedatum < t.opnamedatum -- from a later date
and sdo_geom.sdo_distance(s.geometrie,t.geometrie,0.1) < 3 -- within 3 meters
;This is surprisingly fast (7 seconds for first 50 records), but still takes about 7 minutes (Oracle XE on a 768MB, 2.7GHz VM) for the whole query. This is acceptable, but:
* Is this solution the best approach?
* Can this be done faster or more efficient? Clever indexes, hints, smarter query, ...?
* Is it worth optimizing the SDO_DIM_ARRAY for this table, e.g. narrowing the range of coordinate values)?
* How to delete the found records most efficiently?
* Can this be done using an anti-join, to select the records to keep?
Thank you for reading this, and any answers you may have,
J-----.
Jeroen MurisJack,
Thank you for your response. It helped me to clean up the query. All the changes did not give a much better explain plan - at least not to my inexperienced eyes - but the total execution time for the query is now reduced to under two minutes. The query as it is now:
select /*+ ordered all_rows */ x.rowid1
from table(sdo_join('CYCLORAMA','GEOMETRIE','CYCLORAMA','GEOMETRIE','distance=3 mask=ANYINTERACT')) x
, cyclorama s, cyclorama t
where not x.rowid1 = x.rowid2
and s.rowid = x.rowid1 and x.rowid2 = t.rowid
and s.datasetid != t.datasetid
and s.opnamedatum < t.opnamedatum;Because the docs state that mask=FILTER is the default, I added an explicit mask=ANYINTERACT to the sdo_join parameters when I removed the sdo_distance from the query. Still, the query returns 205035 records with the sdo_distance, and 205125 without. But this may be the result of the extra 0.001 from sdo_dim. I did not investigate as the 3 meter is not crucial.
I believe I already had a mechanism in place to reduce the number of self-joins with "not x.rowid1 = x.rowid2" and "s.opnamedatum < t.opnamedatum". I can not guarantee that for all records s.opnamedatum < t.opnamedatum equals x.rowid1 < x.rowid2.
Based on the [url http://download.oracle.com/docs/cd/B19306_01/appdev.102/b14255/sdo_operat.htm#BGEDJIBF]docs, I finally added an 'ordered' hint and reshuffled the tables in the from clause.
I'm happy with performance now, and creating a new table with the records to keep should not be a problem. Still I'm curious about the following:
<li>Is it worth optimizing the SDO_DIM_ARRAY for the original table, e.g. narrowing the range of coordinate values?
<li>How can sdo_join best be used for an anti-join, to select the records to keep?
Thank you,
J-----. -
Hi list ,
I need your help in tuning this sql.
Oracle 10g,Windows 2008 64 bit running on virtual machine.
SELECT t0.RecID, t0.PrtID, t0.RecOrdDt, t0.RecOrdID, t0.RecExtOrdID, t0.RecPocID, t0.PriID, t0.CasID, t0.CasNo, t0.CasClass, t0.CasPocID, t0.CasAdmit, t0.CasNotValid, t0.PatName, t0.PatFName, t0.PatBName, t0.PatBDate, t0.PatSex, t0.PatNotValid, t0.RstID, t0.RstState, t0.RstMeaningI18N, t0.PrtType, t0.PrtSubType, t0.RpxType, t0.RpxPrio, t0.PerID, t0.PerName, t0.PerFName, t0.PerTitle, t0.PerType, t0.AgnExtID
FROM
IXSERV.XsvRecPerInfoV t0
WHERE
((((t0.AgnExtID = '1728454694') AND (t0.PrtID IN (72, 165)))
AND (t0.RpxType IN (1, 2, 6, 3, 5)))
AND (t0.RstState IN (202, 208, 210, 203, 206)))
call count cpu elapsed disk query current rows
Parse 1 0.04 0.03 0 1999 0 0
Execute 1 0.00 0.00 0 0 0 0
Fetch 4 5.39 57.42 45408 53080 0 45
total 6 5.43 57.46 45408 55079 0 45
Misses in library cache during parse: 1
Optimizer mode: ALL_ROWS
Parsing user id: SYS
Rows Row Source Operation
45 NESTED LOOPS (cr=53080 pr=45408 pw=0 time=2611987 us)
45 NESTED LOOPS (cr=52941 pr=45355 pw=0 time=46145568 us)
45 HASH JOIN (cr=52802 pr=45314 pw=0 time=45407144 us)
1 TABLE ACCESS BY INDEX ROWID PERPERSON (cr=3 pr=6 pw=0 time=40510 us)
1 INDEX RANGE SCAN PERIDXAGNEXTID (cr=2 pr=5 pw=0 time=22311 us)(object id 56817)
23623 TABLE ACCESS BY INDEX ROWID XSVRECPERXREF (cr=52799 pr=45308 pw=0 time=50046345 us)
33893 NESTED LOOPS (cr=47543 pr=42261 pw=0 time=73003406 us)
5139 HASH JOIN (cr=37184 pr=40103 pw=0 time=56090695 us)
5 TABLE ACCESS FULL XMFREPORTSTATE (cr=7 pr=6 pw=0 time=22565 us)
66900 TABLE ACCESS BY INDEX ROWID XSVPATIENTRECORD (cr=37177 pr=40097 pw=0 time=39887547 us)
66903 NESTED LOOPS (cr=146 pr=141 pw=0 time=8095232 us)
2 INLIST ITERATOR (cr=4 pr=3 pw=0 time=37200 us)
2 TABLE ACCESS BY INDEX ROWID XMFPATIENTRECORDTYPE (cr=4 pr=3 pw=0 time=37198 us)
2 INDEX UNIQUE SCAN PKPRT (cr=2 pr=1 pw=0 time=26746 us)(object id 56143)
66900 INDEX RANGE SCAN RECIDXPRTID (cr=142 pr=138 pw=0 time=51513 us)(object id 56410)
28753 INDEX RANGE SCAN RPXIDXRECID (cr=10359 pr=2158 pw=0 time=4518986 us)(object id 56453)
45 TABLE ACCESS BY INDEX ROWID ADTCASE (cr=139 pr=41 pw=0 time=423483 us)
45 INDEX UNIQUE SCAN PK_ADTCASE (cr=94 pr=23 pw=0 time=184866 us)(object id 55295)
45 TABLE ACCESS BY INDEX ROWID ADTPATIENT (cr=139 pr=53 pw=0 time=413067 us)
45 INDEX UNIQUE SCAN PK_ADTPATIENT (cr=94 pr=21 pw=0 time=195583 us)(object id 55361)
Elapsed times include waiting on following events:
Event waited on Times Max. Wait Total Waited
---------------------------------------- Waited ---------- ------------
SQL*Net break/reset to client 2 0.00 0.00
SQL*Net message to client 5 0.00 0.00
SQL*Net message from client 5 114.42 128.67
SQL*Net more data to client 1 0.00 0.00
db file sequential read 27969 0.13 51.57
db file scattered read 3271 0.05 4.61
Some lines from trace fils :
WAIT #1: nam='db file sequential read' ela= 12778 file#=4 block#=3726132 blocks=1 obj#=56817 tim=249799016372
WAIT #1: nam='db file scattered read' ela= 9271 file#=4 block#=3726133 blocks=4 obj#=56817 tim=249799025761
WAIT #1: nam='db file sequential read' ela= 18141 file#=4 block#=587487 blocks=1 obj#=55853 tim=249799043945
WAIT #1: nam='db file sequential read' ela= 18304 file#=4 block#=752595 blocks=1 obj#=56219 tim=249799062471
and the view XsvRecPerInfoV is :
SELECT d.RecID, d.PrtID, d.RecOrdDt, d.RecOrdID, d.RecExtOrdID, d.PocID, d.PriID, c.CasID, c. CasNo, c.CasClass, c.PocID, c.CasAdmit, c.CasNotValid, p.PatName, p.PatFName, p.PatBName, p.PatBDate, p.PatSex, p.PatNotValid, r.RstID, r.RstState, r.RstMeaningI18N, prt.PrtType, prt.PrtSubType, x.RpxType, x.RpxPrio, per.PerID, per.PerName, per.PerFName, per.PerTitle, per.PerType, per.AgnExtID
FROM XsvPatientRecord d,
AdtCase c,
AdtPatient p,
XmfReportState r,
XmfPatientRecordType prt,
XsvRecPerXRef x,
PerPerson per
WHERE
d.RecID = x.RecID
AND d.RstID = r.RstID
AND d.PrtID = prt.PrtID
AND d.CasID = c.CasID
AND x.PerID = per.PerID
AND c.PatID = p.PatID
i have two questions :
-1 The problem in tables XSVPATIENTRECORD and XSVRECPERXREF so how can i speed this query either by rewriting it or indexs?
-2 is my system i-o is slow ?
Best wishes
Edited by: welo on Oct 6, 2010 5:05 AMhi ,
it did not work with dynamic samplying. I am posting here trace 10053 output for the correct plan and wrong plan choosed but the optimizer i need soome one to help me in understanding why the optimizer is choosing wrong join order.
Sql statement and wrong plan :
tageCurrent SQL statement for this session:
SELECT t0.RecID, t0.PrtID, t0.RecOrdDt, t0.RecOrdID, t0.RecExtOrdID, t0.RecPocID, t0.PriID, t0.CasID, t0.CasNo, t0.CasClass, t0.CasPocID, t0.CasAdmit, t0.CasNotValid, t0.PatName, t0.PatFName, t0.PatBName, t0.PatBDate, t0.PatSex, t0.PatNotValid, t0.RstID, t0.RstState, t0.RstMeaningI18N, t0.PrtType, t0.PrtSubType, t0.RpxType, t0.RpxPrio, t0.PerID, t0.PerName, t0.PerFName, t0.PerTitle, t0.PerType, t0.AgnExtID
FROM XsvRecPerInfoV t0
WHERE
((((t0.AgnExtID = '1393621382') AND (t0.PrtID IN (72, 165))) AND (t0.RpxType IN (1, 2, 6, 3, 5))) AND (t0.RstState IN (202, 208, 210, 203, 206)))
--------------------------------------------------------------------+-----------------------------------+
| Id | Operation | Name | Rows | Bytes | Cost | Time |
--------------------------------------------------------------------+-----------------------------------+
| 0 | SELECT STATEMENT | | | | 842 | |
| 1 | NESTED LOOPS | | 1 | 204 | 842 | 00:00:11 |
| 2 | NESTED LOOPS | | 1 | 163 | 840 | 00:00:11 |
| 3 | HASH JOIN | | 1 | 129 | 838 | 00:00:11 |
| 4 | TABLE ACCESS BY INDEX ROWID | PERPERSON | 1 | 29 | 2 | 00:00:01 |
| 5 | INDEX RANGE SCAN | PERIDXAGNEXTID | 1 | | 1 | 00:00:01 |
| 6 | TABLE ACCESS BY INDEX ROWID | XSVRECPERXREF | 2 | 34 | 3 | 00:00:01 |
| 7 | NESTED LOOPS | | 379 | 37K | 835 | 00:00:11 |
| 8 | HASH JOIN | | 238 | 19K | 342 | 00:00:05 |
| 9 | TABLE ACCESS FULL | XMFREPORTSTATE | 5 | 65 | 3 | 00:00:01 |
| 10 | TABLE ACCESS BY INDEX ROWID | XSVPATIENTRECORD | 524 | 30K | 218 | 00:00:03 |
| 11 | NESTED LOOPS | | 1049 | 72K | 338 | 00:00:05 |
| 12 | INLIST ITERATOR | | | | | |
| 13 | TABLE ACCESS BY INDEX ROWID | XMFPATIENTRECORDTYPE| 2 | 22 | 2 | 00:00:01 |
| 14 | INDEX UNIQUE SCAN | PKPRT | 2 | | 1 | 00:00:01 |
| 15 | INDEX RANGE SCAN | RECIDXPRTID | 524 | | 119 | 00:00:02 |
| 16 | INDEX RANGE SCAN | RPXIDXRECID | 2 | | 2 | 00:00:01 |
| 17 | TABLE ACCESS BY INDEX ROWID | ADTCASE | 1 | 34 | 2 | 00:00:01 |
| 18 | INDEX UNIQUE SCAN | PK_ADTCASE | 1 | | 1 | 00:00:01 |
| 19 | TABLE ACCESS BY INDEX ROWID | ADTPATIENT | 1 | 41 | 2 | 00:00:01 |
| 20 | INDEX UNIQUE SCAN | PK_ADTPATIENT | 1 | | 1 | 00:00:01 |
--------------------------------------------------------------------+-----------------------------------+
3 - access("PER"."PERID"="X"."PERID")
5 - access("PER"."AGNEXTID"='1393621382')
6 - filter(("X"."RPXTYPE"=1 OR "X"."RPXTYPE"=2 OR "X"."RPXTYPE"=3 OR "X"."RPXTYPE"=5 OR "X"."RPXTYPE"=6))
8 - access("D"."RSTID"="R"."RSTID")
9 - filter(("R"."RSTSTATE"=202 OR "R"."RSTSTATE"=203 OR "R"."RSTSTATE"=206 OR "R"."RSTSTATE"=208 OR "R"."RSTSTATE"=210))
14 - access(("PRT"."PRTID"=72 OR "PRT"."PRTID"=165))
15 - access("D"."PRTID"="PRT"."PRTID")
15 - filter(("D"."PRTID"=72 OR "D"."PRTID"=165))
16 - access("X"."RECID"="D"."RECID")
18 - access("D"."CASID"="C"."CASID")
20 - access("C"."PATID"="P"."PATID")
Join order[7]: XMFPATIENTRECORDTYPE[PRT]#1 XSVPATIENTRECORD[D]#3 XMFREPORTSTATE[R]#2 XSVRECPERXREF[X]#5 PERPERSON[PER]#0 ADTCASE[C]#6 ADTPATIENT[P]#4
Now joining: XSVPATIENTRECORD[D]#3
NL Join
Outer table: Card: 2.00 Cost: 2.00 Resp: 2.00 Degree: 1 Bytes: 11
Inner table: XSVPATIENTRECORD Alias: D
Access Path: TableScan
NL Join: Cost: 53601.79 Resp: 53601.79 Degree: 1
Cost_io: 53336.00 Cost_cpu: 7967475433
Resp_io: 53336.00 Resp_cpu: 7967475433
kkofmx: index filter:
("D"."PRTID"=72 OR "D"."PRTID"=165) AND ("X"."RPXTYPE"=1 OR "X"."RPXTYPE"=2 OR "X"."RPXTYPE"=3 OR "X"."RPXTYPE"=5 OR "X"."RPXTYPE"=6) AND ("R"."RSTSTATE"=202 OR "R"."RSTSTATE"=203 OR "R"."RSTSTATE"=206 OR "R"."RSTSTATE"=208 OR "R"."RSTSTATE"=210) AND "PER"."PERID"="X"."PERID" AND "X"."RECID"="D"."RECID" AND "D"."RSTID"="R"."RSTID" AND "D"."PRTID"="PRT"."PRTID" AND "D"."CASID"="C"."CASID" AND "C"."PATID"="P"."PATID" AND ("PRT"."PRTID"=72 OR "PRT"."PRTID"=165)
kkofmx: index filter:"D"."PRTID"="PRT"."PRTID" AND "D"."CASID"="C"."CASID" AND "C"."PATID"="P"."PATID" AND ("PRT"."PRTID"=72 OR "PRT"."PRTID"=165)
kkofmx: index filter:
("D"."PRTID"=72 OR "D"."PRTID"=165) AND ("X"."RPXTYPE"=1 OR "X"."RPXTYPE"=2 OR "X"."RPXTYPE"=3 OR "X"."RPXTYPE"=5 OR "X"."RPXTYPE"=6) AND ("R"."RSTSTATE"=202 OR "R"."RSTSTATE"=203 OR "R"."RSTSTATE"=206 OR "R"."RSTSTATE"=208 OR "R"."RSTSTATE"=210) AND "PER"."PERID"="X"."PERID" AND "X"."RECID"="D"."RECID" AND "D"."RSTID"="R"."RSTID" AND "D"."PRTID"="PRT"."PRTID" AND "D"."CASID"="C"."CASID" AND "C"."PATID"="P"."PATID" AND ("PRT"."PRTID"=72 OR "PRT"."PRTID"=165)
Access Path: index (FullScan)
Index: IRECRECORDIDPRTID
resc_io: 43172.00 resc_cpu: 2118737558
ix_sel: 1 ix_sel_with_filters: 6.2392e-005
NL Join: Cost: 86121.14 Resp: 86121.14 Degree: 1
Cost_io: 85924.00 Cost_cpu: 5909611610
Resp_io: 85924.00 Resp_cpu: 5909611610
Access Path: index (AllEqJoinGuess)
Index: RECIDXPRTID
resc_io: 217.00 resc_cpu: 13774732
ix_sel: 0.0074074 ix_sel_with_filters: 6.2392e-005
NL Join (ordered): Cost: 338.30 Resp: 338.30 Degree: 1
Cost_io: 337.00 Cost_cpu: 39079056
Resp_io: 337.00 Resp_cpu: 39079056
****** trying bitmap/domain indexes ******
****** finished trying bitmap/domain indexes ******
Best NL cost: 338.30
resc: 338.30 resc_io: 337.00 resc_cpu: 39079056
resp: 338.30 resp_io: 337.00 resp_cpu: 39079056
Join Card: 1048.85 = outer (2.00) * inner (70797.49) * sel (0.0074074)
Join Card - Rounded: 1049 Computed: 1048.85
SM Join
Outer table:
resc: 2.00 card 2.00 bytes: 11 deg: 1 resp: 2.00
Inner table: XSVPATIENTRECORD Alias: D
resc: 13387.34 card: 70797.49 bytes: 59 deg: 1 resp: 13387.34
using dmeth: 2 #groups: 1
SORT resource Sort statistics
Sort width: 445 Area size: 390144 Max Area size: 78223360
Degree: 1
Blocks to Sort: 651 Row size: 75 Total Rows: 70797
Initial runs: 2 Merge passes: 1 IO Cost / pass: 354
Total IO sort cost: 1005 Total CPU sort cost: 97398867
Total Temp space used: 11969000
SM join: Resc: 14397.59 Resp: 14397.59 [multiMatchCost=0.00]
SM cost: 14397.59
resc: 14397.59 resc_io: 14389.81 resc_cpu: 233098276
resp: 14397.59 resp_io: 14389.81 resp_cpu: 233098276
HA Join
Outer table:
resc: 2.00 card 2.00 bytes: 11 deg: 1 resp: 2.00
Inner table: XSVPATIENTRECORD Alias: D
resc: 13387.34 card: 70797.49 bytes: 59 deg: 1 resp: 13387.34
using dmeth: 2 #groups: 1
Cost per ptn: 0.74 #ptns: 1
hash_area: 124 (max=19098) buildfrag: 1 probefrag: 614 ppasses: 1
Hash join: Resc: 13390.08 Resp: 13390.08 [multiMatchCost=0.00]
HA cost: 13390.08
resc: 13390.08 resc_io: 13384.81 resc_cpu: 157767585
resp: 13390.08 resp_io: 13384.81 resp_cpu: 157767585
Best:: JoinMethod: NestedLoop
Cost: 338.30 Degree: 1 Resp: 338.30 Card: 1048.85 Bytes: 70
Now joining: XMFREPORTSTATE[R]#2
NL Join
Outer table: Card: 1048.85 Cost: 338.30 Resp: 338.30 Degree: 1 Bytes: 70
Inner table: XMFREPORTSTATE Alias: R
Access Path: TableScan
NL Join: Cost: 1489.04 Resp: 1489.04 Degree: 1
Cost_io: 1486.00 Cost_cpu: 91090703
Resp_io: 1486.00 Resp_cpu: 91090703
Access Path: index (UniqueScan)
Index: PK_XMFREPORTSTATE
resc_io: 1.00 resc_cpu: 8697
ix_sel: 0.030303 ix_sel_with_filters: 0.030303
NL Join: Cost: 1387.61 Resp: 1387.61 Degree: 1
Cost_io: 1386.00 Cost_cpu: 48201937
Resp_io: 1386.00 Resp_cpu: 48201937
Access Path: index (AllEqUnique)
Index: PK_XMFREPORTSTATE
resc_io: 1.00 resc_cpu: 8697
ix_sel: 0.030303 ix_sel_with_filters: 0.030303
NL Join: Cost: 1387.61 Resp: 1387.61 Degree: 1
Cost_io: 1386.00 Cost_cpu: 48201937
Resp_io: 1386.00 Resp_cpu: 48201937
****** trying bitmap/domain indexes ******
****** finished trying bitmap/domain indexes ******
Best NL cost: 1387.61
resc: 1387.61 resc_io: 1386.00 resc_cpu: 48201937
resp: 1387.61 resp_io: 1386.00 resp_cpu: 48201937
Join Card: 238.38 = outer (1048.85) * inner (5.00) * sel (0.045455)
Join Card - Rounded: 238 Computed: 238.38
SM Join
Outer table:
resc: 338.30 card 1048.85 bytes: 70 deg: 1 resp: 338.30
Inner table: XMFREPORTSTATE Alias: R
resc: 3.00 card: 5.00 bytes: 13 deg: 1 resp: 3.00
using dmeth: 2 #groups: 1
SORT resource Sort statistics
Sort width: 445 Area size: 390144 Max Area size: 78223360
Degree: 1
Blocks to Sort: 12 Row size: 87 Total Rows: 1049
Initial runs: 1 Merge passes: 0 IO Cost / pass: 0
Total IO sort cost: 0 Total CPU sort cost: 30450620
Total Temp space used: 0
SORT resource Sort statistics
Sort width: 445 Area size: 390144 Max Area size: 78223360
Degree: 1
Blocks to Sort: 1 Row size: 25 Total Rows: 5
Initial runs: 1 Merge passes: 0 IO Cost / pass: 0
Total IO sort cost: 0 Total CPU sort cost: 29976876
Total Temp space used: 0
SM join: Resc: 343.32 Resp: 343.32 [multiMatchCost=0.00]
SM cost: 343.32
resc: 343.32 resc_io: 340.00 resc_cpu: 99556133
resp: 343.32 resp_io: 340.00 resp_cpu: 99556133
HA Join
Outer table:
resc: 338.30 card 1048.85 bytes: 70 deg: 1 resp: 338.30
Inner table: XMFREPORTSTATE Alias: R
resc: 3.00 card: 5.00 bytes: 13 deg: 1 resp: 3.00
using dmeth: 2 #groups: 1
Cost per ptn: 0.51 #ptns: 1
hash_area: 124 (max=19098) buildfrag: 11 probefrag: 1 ppasses: 1
Hash join: Resc: 341.81 Resp: 341.81 [multiMatchCost=0.00]
HA Join (swap)
Outer table:
resc: 3.00 card 5.00 bytes: 13 deg: 1 resp: 3.00
Inner table: XSVPATIENTRECORD Alias: D
resc: 338.30 card: 1048.85 bytes: 70 deg: 1 resp: 338.30
using dmeth: 2 #groups: 1
Cost per ptn: 0.50 #ptns: 1
hash_area: 124 (max=19098) buildfrag: 1 probefrag: 11 ppasses: 1
Hash join: Resc: 341.81 Resp: 341.81 [multiMatchCost=0.00]
HA cost: 341.81
resc: 341.81 resc_io: 340.00 resc_cpu: 54222464
resp: 341.81 resp_io: 340.00 resp_cpu: 54222464
Best:: JoinMethod: Hash
Cost: 341.81 Degree: 1 Resp: 341.81 Card: 238.38 Bytes: 83
Now joining: XSVRECPERXREF[X]#5
NL Join
Outer table: Card: 238.38 Cost: 341.81 Resp: 341.81 Degree: 1 Bytes: 83
Inner table: XSVRECPERXREF Alias: X
Access Path: TableScan
NL Join: Cost: 280914.52 Resp: 280914.52 Degree: 1
Cost_io: 275752.00 Cost_cpu: 154753663635
Resp_io: 275752.00 Resp_cpu: 154753663635
kkofmx: index filter:
("X"."RPXTYPE"=1 OR "X"."RPXTYPE"=2 OR "X"."RPXTYPE"=3 OR "X"."RPXTYPE"=5 OR "X"."RPXTYPE"=6) AND ("R"."RSTSTATE"=202 OR "R"."RSTSTATE"=203 OR "R"."RSTSTATE"=206 OR "R"."RSTSTATE"=208 OR "R"."RSTSTATE"=210) AND "PER"."PERID"="X"."PERID" AND "X"."RECID"="D"."RECID" AND "D"."RSTID"="R"."RSTID" AND "D"."PRTID"="PRT"."PRTID" AND "D"."CASID"="C"."CASID" AND "C"."PATID"="P"."PATID" AND ("PRT"."PRTID"=72 OR "PRT"."PRTID"=165)
Access Path: index (AllEqJoinGuess)
Index: RPXIDXRECID
resc_io: 3.00 resc_cpu: 23984
ix_sel: 1.6577e-006 ix_sel_with_filters: 1.6577e-006
NL Join: Cost: 835.02 Resp: 835.02 Degree: 1
Cost_io: 833.08 Cost_cpu: 58098995
Resp_io: 833.08 Resp_cpu: 58098995
Access Path: index (RangeScan)
Index: URPXRECPERTYPE
resc_io: 3.00 resc_cpu: 23274
ix_sel: 1.6577e-006 ix_sel_with_filters: 9.4822e-007
NL Join: Cost: 835.02 Resp: 835.02 Degree: 1
Cost_io: 833.08 Cost_cpu: 58181005
Resp_io: 833.08 Resp_cpu: 58181005
****** trying bitmap/domain indexes ******
****** finished trying bitmap/domain indexes ******
Best NL cost: 835.02
resc: 835.02 resc_io: 833.08 resc_cpu: 58098995
resp: 835.02 resp_io: 833.08 resp_cpu: 58098995
Join Card: 378.67 = outer (238.38) * inner (835508.80) * sel (1.9013e-006)
Join Card - Rounded: 379 Computed: 378.67
SM Join
Outer table:
resc: 341.81 card 238.38 bytes: 83 deg: 1 resp: 341.81
Inner table: XSVRECPERXREF Alias: X
resc: 1180.68 card: 835508.80 bytes: 17 deg: 1 resp: 1180.68
using dmeth: 2 #groups: 1
SORT resource Sort statistics
Sort width: 445 Area size: 390144 Max Area size: 78223360
Degree: 1
Blocks to Sort: 3 Row size: 102 Total Rows: 238
Initial runs: 1 Merge passes: 0 IO Cost / pass: 0
Total IO sort cost: 0 Total CPU sort cost: 30061009
Total Temp space used: 0
SORT resource Sort statistics
Sort width: 445 Area size: 390144 Max Area size: 78223360
Degree: 1
Blocks to Sort: 2967 Row size: 29 Total Rows: 835509
Initial runs: 2 Merge passes: 1 IO Cost / pass: 1608
Total IO sort cost: 4575 Total CPU sort cost: 843575684
Total Temp space used: 53699000
SM join: Resc: 6126.64 Resp: 6126.64 [multiMatchCost=0.00]
SM cost: 6126.64
resc: 6126.64 resc_io: 6074.00 resc_cpu: 1577856809
resp: 6126.64 resp_io: 6074.00 resp_cpu: 1577856809
HA Join
Outer table:
resc: 341.81 card 238.38 bytes: 83 deg: 1 resp: 341.81
Inner table: XSVRECPERXREF Alias: X
resc: 1180.68 card: 835508.80 bytes: 17 deg: 1 resp: 1180.68
using dmeth: 2 #groups: 1
Cost per ptn: 3.29 #ptns: 1
hash_area: 124 (max=19098) buildfrag: 3 probefrag: 2958 ppasses: 1
Hash join: Resc: 1525.78 Resp: 1525.78 [multiMatchCost=0.00]
HA cost: 1525.78
resc: 1525.78 resc_io: 1499.00 resc_cpu: 802794893
resp: 1525.78 resp_io: 1499.00 resp_cpu: 802794893
Best:: JoinMethod: NestedLoop
Cost: 835.02 Degree: 1 Resp: 835.02 Card: 378.67 Bytes: 100
Now joining: PERPERSON[PER]#0
NL Join
Outer table: Card: 378.67 Cost: 835.02 Resp: 835.02 Degree: 1 Bytes: 100
Inner table: PERPERSON Alias: PER
Access Path: TableScan
NL Join: Cost: 409701.78 Resp: 409701.78 Degree: 1
Cost_io: 408070.08 Cost_cpu: 48912477468
Resp_io: 408070.08 Resp_cpu: 48912477468
Access Path: index (UniqueScan)
Index: PKPER
resc_io: 2.00 resc_cpu: 16603
ix_sel: 2.7682e-006 ix_sel_with_filters: 2.7682e-006
NL Join: Cost: 1593.23 Resp: 1593.23 Degree: 1
Cost_io: 1591.08 Cost_cpu: 64391486
Resp_io: 1591.08 Resp_cpu: 64391486
Access Path: index (AllEqJoin)
Index: PERIDXAGNEXTID
resc_io: 2.00 resc_cpu: 15703
ix_sel: 0.001065 ix_sel_with_filters: 0.001065
NL Join: Cost: 1593.22 Resp: 1593.22 Degree: 1
Cost_io: 1591.08 Cost_cpu: 64050386
Resp_io: 1591.08 Resp_cpu: 64050386
Access Path: index (AllEqUnique)
Index: PKPER
resc_io: 2.00 resc_cpu: 16603
ix_sel: 2.7682e-006 ix_sel_with_filters: 2.7682e-006
NL Join: Cost: 1593.23 Resp: 1593.23 Degree: 1
Cost_io: 1591.08 Cost_cpu: 64391486
Resp_io: 1591.08 Resp_cpu: 64391486
****** trying bitmap/domain indexes ******
Access Path: index (AllEqJoin)
Index: PERIDXAGNEXTID
resc_io: 1.00 resc_cpu: 8171
ix_sel: 0.001065 ix_sel_with_filters: 0.001065
NL Join: Cost: 1214.12 Resp: 1214.12 Degree: 1
Cost_io: 1212.08 Cost_cpu: 61195971
Resp_io: 1212.08 Resp_cpu: 61195971
Access Path: index (AllEqUnique)
Index: PKPER
resc_io: 1.00 resc_cpu: 9021
ix_sel: 2.7682e-006 ix_sel_with_filters: 2.7682e-006
NL Join: Cost: 1214.13 Resp: 1214.13 Degree: 1
Cost_io: 1212.08 Cost_cpu: 61518121
Resp_io: 1212.08 Resp_cpu: 61518121
Access path: Bitmap index - rejected
Cost: 3293.30 Cost_io: 3287.25 Cost_cpu: 181295210 Sel: 9.5086e-007
Not believed to be index-only
****** finished trying bitmap/domain indexes ******
Best NL cost: 1593.22
resc: 1593.22 resc_io: 1591.08 resc_cpu: 64050386
resp: 1593.22 resp_io: 1591.08 resp_cpu: 64050386
Join Card: 0.34 = outer (378.67) * inner (1.00) * sel (8.9286e-004)
Join Card - Rounded: 1 Computed: 0.34
SM Join
Outer table:
resc: 835.02 card 378.67 bytes: 100 deg: 1 resp: 835.02
Inner table: PERPERSON Alias: PER
resc: 2.00 card: 1.00 bytes: 29 deg: 1 resp: 2.00
using dmeth: 2 #groups: 1
SORT resource Sort statistics
Sort width: 445 Area size: 390144 Max Area size: 78223360
Degree: 1
Blocks to Sort: 6 Row size: 120 Total Rows: 379
Initial runs: 1 Merge passes: 0 IO Cost / pass: 0
Total IO sort cost: 0 Total CPU sort cost: 30122624
Total Temp space used: 0
SORT resource Sort statistics
Sort width: 445 Area size: 390144 Max Area size: 78223360
Degree: 1
Blocks to Sort: 1 Row size: 42 Total Rows: 1
Initial runs: 1 Merge passes: 0 IO Cost / pass: 0
Total IO sort cost: 0 Total CPU sort cost: 29976353
Total Temp space used: 0
SM join: Resc: 839.02 Resp: 839.02 [multiMatchCost=0.00]
SM cost: 839.02
resc: 839.02 resc_io: 835.08 resc_cpu: 118213674
resp: 839.02 resp_io: 835.08 resp_cpu: 118213674
HA Join
Outer table:
resc: 835.02 card 378.67 bytes: 100 deg: 1 resp: 835.02
Inner table: PERPERSON Alias: PER
resc: 2.00 card: 1.00 bytes: 29 deg: 1 resp: 2.00
using dmeth: 2 #groups: 1
Cost per ptn: 0.50 #ptns: 1
hash_area: 124 (max=19098) buildfrag: 6 probefrag: 1 ppasses: 1
Hash join: Resc: 837.52 Resp: 837.52 [multiMatchCost=0.00]
HA Join (swap)
Outer table:
resc: 2.00 card 1.00 bytes: 29 deg: 1 resp: 2.00
Inner table: XSVRECPERXREF Alias: X
resc: 835.02 card: 378.67 bytes: 100 deg: 1 resp: 835.02
using dmeth: 2 #groups: 1
Cost per ptn: 0.50 #ptns: 1
hash_area: 124 (max=19098) buildfrag: 1 probefrag: 6 ppasses: 1
Hash join: Resc: 837.52 Resp: 837.52 [multiMatchCost=0.00]
HA cost: 837.52
resc: 837.52 resc_io: 835.08 resc_cpu: 73140924
resp: 837.52 resp_io: 835.08 resp_cpu: 73140924
Best:: JoinMethod: Hash
Cost: 837.52 Degree: 1 Resp: 837.52 Card: 0.34 Bytes: 129
Now joining: ADTCASE[C]#6
NL Join
Outer table: Card: 0.34 Cost: 837.52 Resp: 837.52 Degree: 1 Bytes: 129
Inner table: ADTCASE Alias: C
Access Path: TableScan
NL Join: Cost: 6458.89 Resp: 6458.89 Degree: 1
Cost_io: 6414.08 Cost_cpu: 1343349671
Resp_io: 6414.08 Resp_cpu: 1343349671
Access Path: index (UniqueScan)
Index: PK_ADTCASE
resc_io: 2.00 resc_cpu: 16573
ix_sel: 3.9499e-007 ix_sel_with_filters: 3.9499e-007
NL Join: Cost: 839.52 Resp: 839.52 Degree: 1
Cost_io: 837.08 Cost_cpu: 73157497
Resp_io: 837.08 Resp_cpu: 73157497
Access Path: index (AllEqUnique)
Index: PK_ADTCASE
resc_io: 2.00 resc_cpu: 16573
ix_sel: 3.9478e-007 ix_sel_with_filters: 3.9478e-007
NL Join: Cost: 839.52 Resp: 839.52 Degree: 1
Cost_io: 837.08 Cost_cpu: 73157497
Resp_io: 837.08 Resp_cpu: 73157497
****** trying bitmap/domain indexes ******
****** finished trying bitmap/domain indexes ******
Best NL cost: 839.52
resc: 839.52 resc_io: 837.08 resc_cpu: 73157497
resp: 839.52 resp_io: 837.08 resp_cpu: 73157497
Join Card: 0.34 = outer (0.34) * inner (2531689.00) * sel (3.9478e-007)
Join Card - Rounded: 1 Computed: 0.34
SM Join
Outer table:
resc: 837.52 card 0.34 bytes: 129 deg: 1 resp: 837.52
Inner table: ADTCASE Alias: C
resc: 5621.37 card: 2531689.00 bytes: 34 deg: 1 resp: 5621.37
using dmeth: 2 #groups: 1
SORT resource Sort statistics
Sort width: 445 Area size: 390144 Max Area size: 78223360
Degree: 1
Blocks to Sort: 1 Row size: 152 Total Rows: 1
Initial runs: 1 Merge passes: 0 IO Cost / pass: 0
Total IO sort cost: 0 Total CPU sort cost: 29976353
Total Temp space used: 0
SORT resource Sort statistics
Sort width: 445 Area size: 390144 Max Area size: 78223360
Degree: 1
Blocks to Sort: 14878 Row size: 48 Total Rows: 2531689
Initial runs: 2 Merge passes: 1 IO Cost / pass: 8060
Total IO sort cost: 22938 Total CPU sort cost: 2822696818
Total Temp space used: 264217000
SM join: Resc: 29492.06 Resp: 29492.06 [multiMatchCost=0.00]
SM cost: 29492.06
resc: 29492.06 resc_io: 29352.08 resc_cpu: 4196022842
resp: 29492.06 resp_io: 29352.08 resp_cpu: 4196022842
HA Join
Outer table:
resc: 837.52 card 0.34 bytes: 129 deg: 1 resp: 837.52
Inner table: ADTCASE Alias: C
resc: 5621.37 card: 2531689.00 bytes: 34 deg: 1 resp: 5621.37
using dmeth: 2 #groups: 1
Cost per ptn: 8.95 #ptns: 1
hash_area: 124 (max=19098) buildfrag: 1 probefrag: 14217 ppasses: 1
Hash join: Resc: 6467.84 Resp: 6467.84 [multiMatchCost=0.00]
HA cost: 6467.84
resc: 6467.84 resc_io: 6414.08 resc_cpu: 1611506897
resp: 6467.84 resp_io: 6414.08 resp_cpu: 1611506897
Best:: JoinMethod: NestedLoop
Cost: 839.52 Degree: 1 Resp: 839.52 Card: 0.34 Bytes: 163
Now joining: ADTPATIENT[P]#4
NL Join
Outer table: Card: 0.34 Cost: 839.52 Resp: 839.52 Degree: 1 Bytes: 163
Inner table: ADTPATIENT Alias: P
Access Path: TableScan
NL Join: Cost: 2172.07 Resp: 2172.07 Degree: 1
Cost_io: 2161.08 Cost_cpu: 329395913
Resp_io: 2161.08 Resp_cpu: 329395913
Access Path: index (UniqueScan)
Index: PK_ADTPATIENT
resc_io: 2.00 resc_cpu: 16533
ix_sel: 1.8294e-006 ix_sel_with_filters: 1.8294e-006
NL Join: Cost: 841.52 Resp: 841.52 Degree: 1
Cost_io: 839.08 Cost_cpu: 73174030
Resp_io: 839.08 Resp_cpu: 73174030
Access Path: index (AllEqUnique)
Index: PK_ADTPATIENT
resc_io: 2.00 resc_cpu: 16533
ix_sel: 1.8294e-006 ix_sel_with_filters: 1.8294e-006
NL Join: Cost: 841.52 Resp: 841.52 Degree: 1
Cost_io: 839.08 Cost_cpu: 73174030
Resp_io: 839.08 Resp_cpu: 73174030
****** trying bitmap/domain indexes ******
****** finished trying bitmap/domain indexes ******
Best NL cost: 841.52
resc: 841.52 resc_io: 839.08 resc_cpu: 73174030
resp: 841.52 resp_io: 839.08 resp_cpu: 73174030
Join Card: 0.34 = outer (0.34) * inner (546621.00) * sel (1.8294e-006)
Join Card - Rounded: 1 Computed: 0.34
SM Join
Outer table:
resc: 839.52 card 0.34 bytes: 163 deg: 1 resp: 839.52
Inner table: ADTPATIENT Alias: P
resc: 1332.55 card: 546621.00 bytes: 41 deg: 1 resp: 1332.55
using dmeth: 2 #groups: 1
SORT resource Sort statistics
Sort width: 445 Area size: 390144 Max Area size: 78223360
Degree: 1
Blocks to Sort: 1 Row size: 190 Total Rows: 1
Initial runs: 1 Merge passes: 0 IO Cost / pass: 0
Total IO sort cost: 0 Total CPU sort cost: 29976353
Total Temp space used: 0
SORT resource Sort statistics
Sort width: 445 Area size: 390144 Max Area size: 78223360
Degree: 1
Blocks to Sort: 3748 Row size: 56 Total Rows: 546621
Initial runs: 2 Merge passes: 1 IO Cost / pass: 2032
Total IO sort cost: 5780 Total CPU sort cost: 591684408
Total Temp space used: 65872000
SM join: Resc: 7972.81 Resp: 7972.81 [multiMatchCost=0.00]
SM cost: 7972.81
resc: 7972.81 resc_io: 7941.08 resc_cpu: 951056673
resp: 7972.81 resp_io: 7941.08 resp_cpu: 951056673
HA Join
Outer table:
resc: 839.52 card 0.34 bytes: 163 deg: 1 resp: 839.52
Inner table: ADTPATIENT Alias: P
resc: 1332.55 card: 546621.00 bytes: 41 deg: 1 resp: 1332.55
using dmeth: 2 #groups: 1
Cost per ptn: 2.32 #ptns: 1
hash_area: 124 (max=19098) buildfrag: 1 probefrag: 3537 ppasses: 1
Hash join: Resc: 2174.39 Resp: 2174.39 [multiMatchCost=0.00]
HA cost: 2174.39
resc: 2174.39 resc_io: 2161.08 resc_cpu: 399046339
resp: 2174.39 resp_io: 2161.08 resp_cpu: 399046339
Plan cardinality mismatch: best card= 0.33796097408 curr card= 0.33791727990
Best:: JoinMethod: NestedLoop
Cost: 841.52 Degree: 1 Resp: 841.52 Card: 0.34 Bytes: 204
Best so far: Table#: 1 cost: 2.0007 card: 2.0000 bytes: 22
Table#: 3 cost: 338.3037 card: 1048.8517 bytes: 73430
Table#: 2 cost: 341.8088 card: 238.3754 bytes: 19754
Table#: 5 cost: 835.0191 card: 378.6697 bytes: 37900
Table#: 0 cost: 837.5209 card: 0.3381 bytes: 129
Table#: 6 cost: 839.5214 card: 0.3379 bytes: 163
Table#: 4 cost: 841.5220 card: 0.3379 bytes: 204
tage -
Request for help in tuning the server which is running opmn process.
Hi Folks,
I request for an help in tuning the server which is running oracle app server opmn process , It is chewing arround 40% of the CPU resource,and our sysadmin is back of me to resolve this issues.
any feedback on this is highly appriciated...
Thanks in advanceRe: How to Achieve Performance Tuning
I hope you may find answers here..
Sharma -
Hi, How I can get desired result. I am joining two tables but if date timeline does't exist in #two table then should show hyphen (-). Please help on this query. Thanks.
create table #one (code_p char(4), code_h char(2), code_date datetime)
insert into #one values ('DEHG','2','2010-01-01')
insert into #one values ('DEHG','2','2011-01-01')
insert into #one values ('DEHC','2','2009-01-01')
insert into #one values ('DEHG','2','2012-01-01')
create table #two (code_p char(4), code_h char(2), code_date datetime)
insert into #two values ('DEHG','2','2010-01-01')
insert into #two values ('DEHC','2','2009-01-01')
select p.code_p code_p_one, p.code_h code_h_one, p.code_date code_date_one,
p.code_p code_p_two, p.code_h code_h_two, p.code_date code_date_two from #one p join #two a on p.code_p = a.code_p
--Result from the above query
code_p_one code_h_one code_date_one code_p_two code_h_two code_date_two
DEHG 2 2010-01-01 DEHG 2 2010-01-01
DEHG 2 2011-01-01 DEHG 2 2010-01-01
DEHC 2 2009-01-01 DEHG 2 2009-01-01
DEHC 2 2012-01-01 DEHG 2 2009-01-01
--Desired result
code_p_one code_h_one code_date_one code_p_two code_h_two code_date_two
DEHG 2 2010-01-01 DEHG 2 2010-01-01
DEHG 2 2011-01-01 DEHG 2 -
DEHC 2 2009-01-01 DEHG 2 2009-01-01
DEHC 2 2012-01-01 DEHG 2 -Try this:
select p.code_p code_p_one, p.code_h code_h_one, p.code_date code_date_one,
p.code_p code_p_two, p.code_h code_h_two, ISNULL(CONVERT(varchar(50),a.code_date,121),'-') code_date_two
from #one p
left join #two a on p.code_p = a.code_p and p.code_date=a.code_date
If this post answers your query, please click "Mark As Answer" or "Vote as Helpful". -
Hello all,
Total newbie to this pl/sql stuff. So, deseperately need help in my query.
BOOKING_ID BOOKING_STATUS BOOKING_DATE BOOKING_TIME BOOKING_DATE_TIME
1234567 CANCELLED 20090301 37252 5/1/2010 10:20
1234567 CANCELLED 20090301 44229 5/1/2010 12:17
1234567 BOOKED 20090301 39462 5/1/2010 10:57
1234567 CANCELLED 20090301 43549 5/1/2010 12:05
9671111 BOOKED 20090301 68124 5/1/2010 12:57
9671111 CANCELLED 20090301 45001 5/1/2010 12:05
How do I write my query such that I would get the following results:
BOOKING_ID BOOKING_STATUS BOOKING_DATE BOOKING_TIME BOOKING_DATE_TIME
9671111 BOOKED 20090301 68124 2/4/2010 12:17
Basically, I am looking at the latest BOOKING_TIME and making sure the BOOKING_STATUS=BOOKED, if not, don't even bother bring back the result. Hence, you see that BOOKING_ID=1234567 is not required since at the latest BOOKING_TIME=44229, the BOOKING_STATUS=CANCELLED.
Any help is greatly appreciated.
Thank you in advance for your help.
Stanley HoHi, Stanley,
Welcome to the forum!
Whenever you have a question, please post your sample data in a form that people can actually use. CREATE TABLE and INSERT statements are perfect.
For example:
CREATE TABLE booking
( booking_id NUMBER (8)
, booking_status VARCHAR2 (10)
, booking_date_time DATE
INSERT INTO booking (booking_id, booking_status, booking_date_time)
VALUES (1234567, 'CANCELLED', TO_DATE ('5/1/2010 10:20', 'MM/DD/YYYY HH24:MI'));
INSERT INTO booking (booking_id, booking_status, booking_date_time)
VALUES (1234567, 'CANCELLED', TO_DATE ('5/1/2010 12:17', 'MM/DD/YYYY HH24:MI'));
INSERT INTO booking (booking_id, booking_status, booking_date_time)
VALUES (1234567, 'BOOKED', TO_DATE ('5/1/2010 10:57', 'MM/DD/YYYY HH24:MI'));
INSERT INTO booking (booking_id, booking_status, booking_date_time)
VALUES (1234567, 'CANCELLED', TO_DATE ('5/1/2010 12:05', 'MM/DD/YYYY HH24:MI'));
INSERT INTO booking (booking_id, booking_status, booking_date_time)
VALUES (9671111, 'BOOKED', TO_DATE ('5/1/2010 12:57', 'MM/DD/YYYY HH24:MI'));
INSERT INTO booking (booking_id, booking_status, booking_date_time)
VALUES (9671111, 'CANCELLED', TO_DATE ('5/1/2010 12:05', 'MM/DD/YYYY HH24:MI'));What you want is called a Top-N Query .
Here's one way to do it:
WITH got_rnum AS
SELECT booking.*
, ROW_NUMBER () OVER ( PARTITION BY booking_id
ORDER BY booking_date_time DESC
) AS rnum
FROM booking
SELECT booking_id
, booking_status
, TO_CHAR (booking_date_time, 'YYYYMMDD') AS booking_date
, TO_CHAR (booking_date_time, 'SSSSS') AS booking_time
, TO_CHAR (booking_date_time, 'MM/DD/YYYY HH24:MI') AS booking_date_time
FROM got_rnum
WHERE rnum = 1
AND booking_status = 'BOOKED'
;Notice that you don't need PL/SQL to do this; plain old SQL is good enough.
Of course, if you're using PL/SQL for other reasons, you can use a query like this within PL/SQL.
Dates (including time of day) should always be stored in DATE columns.
If you have a DATE column, like booking_date_time, then there's no need for redundant date and time columns.
You can always display just the year-month-day, or just the time, in any format, as I did above.
The output from the query above, with the data above, is:
BOOKING_ID BOOKING_ST BOOKING_ BOOKI BOOKING_DATE_TIM
9671111 BOOKED 20100501 46620 05/01/2010 12:57I realize the booking_date and booking_time columns aren't quite what you posted. If they are not derivable from booking_date_time, then you probably do need separate columns for them, and those columns can easily be added to the query above.
Edited by: Frank Kulash on Feb 5, 2010 4:41 PM
KEEP (DENSE_RANK ...) , like Max used below, is a great tool to have in your kit. The problem with it is that you have to repeat a lot of stuff for every column, so the more columns you have in your output, the more tedious it gets. ROW_NUMBER sclaes much better, and is adaptable to more situations. I suggest you master ROW_NUMBER first, and look into KEEP (DENSE_RANK ...) later. -
I need help with SQL query (if it can be accomplished with query at all).
I'm going to create a table with structure similar to:
Article_Name varchar2(30), Author_Name varchar2(30), Position varchar2(2). Position field is basicly position of an article author in the author list, e.g. if there is one author, his/her position is 0, if 2, then 1st author is 0, second is 1, etc.
Article_Name Author_Name Position
Outer Space Smith 0
Outer Space Blake 1
How can I automate creation of Position, based on number of authors on the fly? Let's say I have original table without Position, but I want to create a new table that will have this information.
RegardsIf you have an existing table whose structure doesn't tell you what position the author is in, what's the algorithm you'd use to determine who was the first author, the second author, etc? If you issue a select query on a table without providing an "order by" clause, Oracle makes no guarantees about the order in which it retrieves rows.
As an aside, why would you store position number in a varchar2 field? If it's a number, it ought to be stored as a number.
Justin -
Need help with SQL Query with Inline View + Group by
Hello Gurus,
I would really appreciate your time and effort regarding this query. I have the following data set.
Reference_No---Check_Number---Check_Date--------Description-------------------------------Invoice_Number----------Invoice_Type---Paid_Amount-----Vendor_Number
1234567----------11223-------------- 7/5/2008----------paid for cleaning----------------------44345563------------------I-----------------*20.00*-------------19
1234567----------11223--------------7/5/2008-----------Adjustment for bad quality---------44345563------------------A-----------------10.00------------19
7654321----------11223--------------7/5/2008-----------Adjustment from last billing cycle-----23543556-------------------A--------------------50.00--------------19
4653456----------11223--------------7/5/2008-----------paid for cleaning------------------------35654765--------------------I---------------------30.00-------------19
Please Ignore '----', added it for clarity
I am trying to write a query to aggregate paid_amount based on Reference_No, Check_Number, Payment_Date, Invoice_Number, Invoice_Type, Vendor_Number and display description with Invoice_type 'I' when there are multiple records with the same Reference_No, Check_Number, Payment_Date, Invoice_Number, Invoice_Type, Vendor_Number. When there are no multiple records I want to display the respective Description.
The query should return the following data set
Reference_No---Check_Number---Check_Date--------Description-------------------------------Invoice_Number----------Invoice_Type---Paid_Amount-----Vendor_Number
1234567----------11223-------------- 7/5/2008----------paid for cleaning----------------------44345563------------------I-----------------*10.00*------------19
7654321----------11223--------------7/5/2008-----------Adjustment from last billing cycle-----23543556-------------------A--------------------50.00--------------19
4653456----------11223--------------7/5/2008-----------paid for cleaning------------------------35654765-------------------I---------------------30.00--------------19
The following is my query. I am kind of lost.
select B.Description, A.sequence_id,A.check_date, A.check_number, A.invoice_number, A.amount, A.vendor_number
from (
select sequence_id,check_date, check_number, invoice_number, sum(paid_amount) amount, vendor_number
from INVOICE
group by sequence_id,check_date, check_number, invoice_number, vendor_number
) A, INVOICE B
where A.sequence_id = B.sequence_id
Thanks,
NickIt looks like it is a duplicate thread - correct me if i'm wrong in this case ->
Need help with SQL Query with Inline View + Group by
Regards.
Satyaki De. -
Hi,
I have a client requirement to show a report on the device availability. The report should show the output as
Node Availability%
Formula for Availability = (Total No. of Failed/Total No. rows) * 100
My Oracle Table has the following data
NODE SUMMARY
172.16.10.55 Default Interface Ping fail for 172.16.10.55: ICMP timeout
172.16.10.55 Default Interface Ping restore for 172.16.10.55
172.16.10.55 Default Chassis Ping restore for 172.16.10.55
172.16.10.55 Default Chassis Ping fail for 172.16.10.55: ICMP timeout
172.16.10.55 Default Chassis Ping restore for 172.16.10.55
172.16.10.55 Default Chassis Ping fail for 172.16.10.55: ICMP timeout
172.16.10.55 Default Chassis Ping fail for 172.16.10.55: ICMP timeout
172.16.10.55 Default Interface Ping restore for 172.16.10.55
172.16.10.55 Default Interface Ping fail for 172.16.10.55: ICMP timeout
172.16.10.56 Default Chassis Ping restore for 172.16.10.56
172.16.10.56 Default Interface Ping fail for 172.16.10.56: ICMP timeout
172.16.10.56 Default Chassis Ping fail for 172.16.10.56: ICMP timeout
172.16.10.56 Default Chassis Ping restore for 172.16.10.56
172.16.10.56 Default Chassis Ping fail for 172.16.10.56: ICMP timeout
172.16.10.56 Default Chassis Ping restore for 172.16.10.56
172.16.10.56 Default Chassis Ping restore for 172.16.10.56
172.16.10.56 Default Interface Ping fail for 172.16.10.56: ICMP timeout
In the above table the Summary column has the details like 'Ping fail' , 'Ping restore' for each Node. So, for each Node I have to compute the Total Ping Fail / (Total Ping Fail + Ping Restore) * 100 to compute the availability %.
My output should be like the below
Node Availability%
172.16.10.55 55.55
172.16.10.56 54
Can someone please help me with query.
I appreciate your help in advance.
Thanks.
Regards,
RaviShankar.My Oracle Table has the following dataThat's great, but if you want maximum response to your question, then post CREATE TABLE + INSERT INTO statements.
I currently do not have the time to turn your data into them.
And always post the database version you're using.
http://tkyte.blogspot.com/2005/06/how-to-ask-questions.html
Also use the {noformat}{noformat} tag in order to post examples that benefit from staying formatted and thus readable when posted on the forum.
Simply put the tag before and after your examples.
For example, when you type:
{noformat}select *
from dual;{noformat}
it will appear as:select *
from dual; -
Need helping in writing query for finding percentage of duration
Can any one please help in writing query for this.
The table is like this :-
ID Region Month Duration
I1 R1 Jan 80
I2 R2 Jan 70
I3 R1 Jan 70
I4 R3 Jan 40
I5 R1 Feb 80
I6 R2 Feb 30
I7 R3 Mar 100
I want to write a query to find
% of duration for each and every region against each and every month.
Please help in solving this query. I am in urgent need of this.
Thanks in advance.I also have to do in MS Access 2003You also have to ask into an other forum since here it's an Oracle forum, to try to find Oracle solution.
Nicolas. -
Can we Definine Input Help in a Query
Hi
Is it possible to define input help or search help in a query the same way as it is done in R3?? I will like to load specific value from a psa.
RegardsHi Jacques,
Providing Customized Input help in query directly is not possible. Instead we can provide Input help in WAD layouts for a query with the help of another Query.
This can be made available for the users to choose with using controls such as Drop Down, Check boxes, Buttons and so on..
Hope this helps.
Regards.
Shafi. -
I need help with the query
Here is what I need
For a particular comm record if there is no Salary record where comm:Date = Salary:Date, then
• Find maximum dated Salary record as of comm:Date.
• Clone this record and set Salary:Date = comm:Date
• Set Salary:rate = comm:rate
Like wise for a particular Salary record If there is no comm record where Salary:Date = comm:Date then
• Find maximum effective dated comm record as of Salary:Date
• Apply Rate 2 amount from this maximum effective dated record to Salary record i.e. Set Salary:rate = comm:rate
Example
Salary Table :
ID Sal_Date Rate Hours
1 07/01/2011 400.00 40
2 02/15/2011 200.00 40
3 01/01/2011 160.00 40
Sal_comm Table:
Sal_Date comm_Rate
1 07/01/2011 10.00
4 03/01/2011 7.50
3 01/01/2011 4.00
I need to merge comm_Rate column in Salary table, since there is no salary record as off 03/01/2011, I need to find the maximum dated salary record as of 03/01/2011
i.e. the record dated 02/15/2011. Now I need to clone that salary record, set the SAL_date as 03/01/2011 and update Rate2 amount. So the record set will be like:
Sal_Date:
id sal_Date Rate Hours comm_Rate
1 07/01/2011 400.00 40 10.00
4 03/01/2011 200.00 40 7.50
2 02/15/2011 200.00 40 4.00
3 01/01/2011 160.00 40 4.00So you need all used dates as the "driving" dataset. And you need the according data for each of these.
WITH salary_table as
(select 1 id,to_date('07/01/2011','MM/DD/YYYY')sal_date,400 rate,40 hours from dual union all
select 2 id,to_date('02/15/2011','MM/DD/YYYY')sal_date,200 rate,40 hours from dual union all
select 3 id,to_date('01/01/2011','MM/DD/YYYY')sal_date,160 rate,40 hours from dual),
sal_comm as
(select 1 id,to_date('07/01/2011','MM/DD/YYYY')sal_date,10 comm_Rate from dual union all
select 4 id,to_date('03/01/2011','MM/DD/YYYY')sal_date,7.5 comm_Rate from dual union all
select 3 id,to_date('01/01/2011','MM/DD/YYYY')sal_date,4 comm_Rate from dual)
select to_char(all_dates.sal_date,'MM/DD/YYYY') sal_date,sal.rate,sal.hours,com.comm_rate
from (select sal_date from salary_table
union
select sal_date from sal_comm) all_dates
inner join (select s1.*,lead(sal_date-1,1,to_date('31/12/9999','DD/MM/YYYY')) over (order by sal_date) next_sal_date
from salary_table s1) sal
on (all_dates.sal_date between sal.sal_date and sal.next_sal_date)
inner join (select s1.*,lead(sal_date-1,1,to_date('31/12/9999','DD/MM/YYYY')) over (order by sal_date) next_sal_date
from sal_comm s1) com
on (all_dates.sal_date between com.sal_date and com.next_sal_date)
order by all_dates.sal_date desc;
SAL_DATE RATE HOURS COMM_RATE
07/01/2011 400 40 10
03/01/2011 200 40 7.5
02/15/2011 200 40 4
01/01/2011 160 40 4
-
Need urgent help with the query - Beginer
Hello - I need help with a query to populate data in a table.Here is the scenario.
Source1
MnthID BranchCod CustID SegCode FXStatus ProfStatus Profit
200712 B1 C1 20 Y Y 100
Source2
MnthID BranchCod CustID ProdCode ProdIndex
200712 B1 C1 12 1
200712 B1 C2 12 0
Destination
MnthID BranchCod SegCode ProdCode CountSegCust CountProdCust ProfitProdCust
Condition and Calculations:
1)Source1 customer are base customers.If Source2 has customers who is not in source1 then that customer's record should not be fetched.
2)SegCode, FX Status, ProfStatus is one variable in destination table. [ SegCode = SegCode+ FXStatus (if FXStatus = Y)+ ProfStatus (if FXStatus = Y) ]
3)CountSegCust = CountCustID Groupby MnthID,BranchCod,SegCode Only.
4)CountProdCust = CountCustID Groupby MnthID,BranchCod,SegCode,ProdCode (when ProdIndex = 1)
5)ProfitProdCust = Sum of Profit of Customers Groupby MnthID,BranchCod,SegCode,ProdCode (when ProdIndex = 1)
Apologies for bad formatting.
Thanks in advance!!A total guess indeed.
It's not clear whether some aggregation can be done (summing counts of grouped data might cause some customers being counted more than once)
insert into destination
select mnthid,branchcod,segcode,prodcode,countsegcust,countprodcust,profitprodcust
from (select s1.mnthid,
s1.branchcod,
s1.segcode || case s1.fxstatus when 'Y' then s1.fxstatus || s1.profstatus end segcode,
s2.prodcode,
count(s1.custid) over (partition by s1.mnthid,
s1.branchcod,
s1.segcode || case s1.fxstatus when 'Y' then s1.fxstatus || s1.profstatus end
order by null
) countsegcust,
count(case proindex when 1
then custid
end
) over (partition by s1.mnthid,
s1.branchcod,
s1.segcode || case s1.fxstatus when 'Y' then s1.fxstatus || s1.profstatus end
s2.prodcode
order by null
) countprodcust,
sum(case proindex when 1
then profit
end
) over (partition by s1.mnthid,
s1.branchcod,
s1.segcode || case s1.fxstatus when 'Y' then s1.fxstatus || s1.profstatus end
s2.prodcode
order by null
) profitprodcust,
row_number() over (partition by s1.mnthid,
s1.branchcod,
s1.segcode || case s1.fxstatus when 'Y' then s1.fxstatus || s1.profstatus end
s2.prodcode
order by null
) the_row
from source1 s1,source2 s2
where s1.mnthid = s2.mnthid
and s1.branchcod = s2.branchcod
and s1.custid = s2.custid
where the_row = 1Regards
Etbin
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