Need help on TO_date func
All,
I need help on adding month to a date to get a new date.
For example, add 2 month to 19931215
The result should be 19940215. how to do it in a SQL?
select to_date(19931215, 'YYYYMMDD')
from dual;
Thanks in Advance
SQL> select to_date(19931215, 'YYYYMMDD'), add_months(to_date(19931215, 'YYYYMMDD'), 2)
2 from dual;
TO_DATE( ADD_MONT
15.12.93 15.02.94
SQL>
Similar Messages
-
Hi All,
In my application I have 3 tables. Event(1.2 L records), KeyWord(1K records) and Event_KeyWord_Mapping(1.4 L records) table.
In my query i need to sort the Events table by 3 columns -( 1 Date column and 2 String column) and i am interested only in top 40 records.
Below is the example query.
select
from
( select
a.*,
ROWNUM
from
( select
distinct event_id
from
( select
(this_.EVENT_ID),
this_.EVENT_GMT_DATE ,
this_.PRIORITY
from
EVENTS this_,
event_keyword_mapping ekp
where
this_.EVENT_ID = ekp.event_id
AND ekp.keyword_id IN (
1643,2278,24,1090,2422,401 )
AND (
EVENT_CODE = 'IEP'
AND (
IS_SCALL = 'Y'
AND COUNTRY_DISPLAY IN (
'US','CA','UK','BE','FR','DE','IT','JP','AU','CH','EU'
OR (
EVENT_CODE = 'ICC'
AND IS_GTINDEX = 'Y'
AND FX_EVENT = 'N'
AND EVENT_GMT_DATE BETWEEN to_date('12/27/2011 05:14:00','mm/dd/yyyy HH24:MI:SS')and
to_date('03/27/2012 10:28:44','mm/dd/yyyy HH24:MI:SS')
ORDER BY
EVENT_GMT_DATE ASC ,
PRIORITY ASC ,
EVENT_ID ASC )) a
where
ROWNUM<=41)(1643,2278,24,1090,2422,401) keywords have 90K+ mappings.
Below is the explain plan for the above query.
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 41 | 1066 | | 629K (85)| 02:05:51 |
| 1 | VIEW | | 41 | 1066 | | 629K (85)| 02:05:51 |
|* 2 | COUNT STOPKEY | | | | | | |
| 3 | VIEW | | 25738 | 326K| | 629K (85)| 02:05:51 |
|* 4 | SORT GROUP BY STOPKEY | | 25738 | 955K| 6929M| 629K (2)| 02:05:51 |
| 5 | CONCATENATION | | | | | | |
| 6 | MERGE JOIN CARTESIAN | | 150M| 5463M| | 96245 (2)| 00:19:15 |
| 7 | TABLE ACCESS BY INDEX ROWID | EVENTS | 1132 | 32828 | | 1618 (1)| 00:00:20 |
| 8 | BITMAP CONVERSION TO ROWIDS | | | | | | |
| 9 | BITMAP AND | | | | | | |
| 10 | BITMAP CONVERSION FROM ROWIDS | | | | | | |
| 11 | SORT ORDER BY | | | | | | |
|* 12 | INDEX RANGE SCAN | EVT_PRIORITY_GMT_DATE_ID_INDEX | 30402 | | | 68 (0)| 00:00:01 |
| 13 | BITMAP CONVERSION FROM ROWIDS | | | | | | |
|* 14 | INDEX RANGE SCAN | EVENT_CODE_INDEX | 30402 | | | 79 (0)| 00:00:01 |
| 15 | BITMAP CONVERSION FROM ROWIDS | | | | | | |
|* 16 | INDEX RANGE SCAN | FX_EVENT_INDEX | 30402 | | | 102 (1)| 00:00:02 |
| 17 | BITMAP CONVERSION FROM ROWIDS | | | | | | |
|* 18 | INDEX RANGE SCAN | IS_GTINDEX_INDEX | 30402 | | | 102 (1)| 00:00:02 |
| 19 | BUFFER SORT | | 133K| 1170K| | 94627 (2)| 00:18:56 |
| 20 | TABLE ACCESS FULL | EVENT_KEYWORD_MAPPING | 133K| 1170K| | 84 (3)| 00:00:02 |
|* 21 | HASH JOIN | | 6691 | 248K| | 2489 (1)| 00:00:30 |
|* 22 | TABLE ACCESS BY INDEX ROWID | EVENTS | 1937 | 56173 | | 2401 (1)| 00:00:29 |
| 23 | BITMAP CONVERSION TO ROWIDS | | | | | | |
| 24 | BITMAP AND | | | | | | |
| 25 | BITMAP OR | | | | | | |
| 26 | BITMAP CONVERSION FROM ROWIDS| | | | | | |
|* 27 | INDEX RANGE SCAN | COUNTRY_DISPLAY_INDEX | 30402 | | | 3 (0)| 00:00:01 |
| 28 | BITMAP CONVERSION FROM ROWIDS| | | | | | |
|* 29 | INDEX RANGE SCAN | COUNTRY_DISPLAY_INDEX | 30402 | | | 3 (0)| 00:00:01 |
| 30 | BITMAP CONVERSION FROM ROWIDS| | | | | | |
|* 31 | INDEX RANGE SCAN | COUNTRY_DISPLAY_INDEX | 30402 | | | 3 (0)| 00:00:01 |
| 32 | BITMAP CONVERSION FROM ROWIDS| | | | | | |
|* 33 | INDEX RANGE SCAN | COUNTRY_DISPLAY_INDEX | 30402 | | | 3 (0)| 00:00:01 |
| 34 | BITMAP CONVERSION FROM ROWIDS| | | | | | |
|* 35 | INDEX RANGE SCAN | COUNTRY_DISPLAY_INDEX | 30402 | | | 3 (0)| 00:00:01 |
| 36 | BITMAP CONVERSION FROM ROWIDS| | | | | | |
|* 37 | INDEX RANGE SCAN | COUNTRY_DISPLAY_INDEX | 30402 | | | 3 (0)| 00:00:01 |
| 38 | BITMAP CONVERSION FROM ROWIDS| | | | | | |
|* 39 | INDEX RANGE SCAN | COUNTRY_DISPLAY_INDEX | 30402 | | | 3 (0)| 00:00:01 |
| 40 | BITMAP CONVERSION FROM ROWIDS| | | | | | |
|* 41 | INDEX RANGE SCAN | COUNTRY_DISPLAY_INDEX | 30402 | | | 3 (0)| 00:00:01 |
| 42 | BITMAP CONVERSION FROM ROWIDS| | | | | | |
|* 43 | INDEX RANGE SCAN | COUNTRY_DISPLAY_INDEX | 30402 | | | 3 (0)| 00:00:01 |
| 44 | BITMAP CONVERSION FROM ROWIDS| | | | | | |
|* 45 | INDEX RANGE SCAN | COUNTRY_DISPLAY_INDEX | 30402 | | | 3 (0)| 00:00:01 |
| 46 | BITMAP CONVERSION FROM ROWIDS| | | | | | |
|* 47 | INDEX RANGE SCAN | COUNTRY_DISPLAY_INDEX | 30402 | | | 3 (0)| 00:00:01 |
| 48 | BITMAP CONVERSION FROM ROWIDS | | | | | | |
|* 49 | INDEX RANGE SCAN | EVENT_CODE_INDEX | 30402 | | | 79 (0)| 00:00:01 |
| 50 | BITMAP CONVERSION FROM ROWIDS | | | | | | |
|* 51 | INDEX RANGE SCAN | IS_SCALL_INDEX | 30402 | | | 100 (1)| 00:00:02 |
|* 52 | TABLE ACCESS FULL | EVENT_KEYWORD_MAPPING | 88609 | 778K| | 87 (4)| 00:00:02 |
Predicate Information (identified by operation id):
2 - filter(ROWNUM<=41)
4 - filter(ROWNUM<=41)
12 - access("EVENT_GMT_DATE">=TO_DATE(' 2011-12-27 05:14:00', 'syyyy-mm-dd hh24:mi:ss') AND "EVENT_GMT_DATE"<=TO_DATE('
2012-03-27 10:28:44', 'syyyy-mm-dd hh24:mi:ss'))
filter("EVENT_GMT_DATE"<=TO_DATE(' 2012-03-27 10:28:44', 'syyyy-mm-dd hh24:mi:ss') AND "EVENT_GMT_DATE">=TO_DATE('
2011-12-27 05:14:00', 'syyyy-mm-dd hh24:mi:ss'))
14 - access("EVENT_CODE"='ICC')
16 - access("FX_EVENT"='N')
18 - access("IS_GTINDEX"='Y')
21 - access("THIS_"."EVENT_ID"="EKP"."EVENT_ID")
22 - filter(LNNVL("EVENT_CODE"='ICC') OR LNNVL("IS_GTINDEX"='Y') OR LNNVL("FX_EVENT"='N') OR
LNNVL("EVENT_GMT_DATE">=TO_DATE(' 2011-12-27 05:14:00', 'syyyy-mm-dd hh24:mi:ss')) OR LNNVL("EVENT_GMT_DATE"<=TO_DATE('
2012-03-27 10:28:44', 'syyyy-mm-dd hh24:mi:ss')))
27 - access("COUNTRY_DISPLAY"='AU')
29 - access("COUNTRY_DISPLAY"='BE')
31 - access("COUNTRY_DISPLAY"='CA')
33 - access("COUNTRY_DISPLAY"='CH')
35 - access("COUNTRY_DISPLAY"='DE')
37 - access("COUNTRY_DISPLAY"='EU')
39 - access("COUNTRY_DISPLAY"='FR')
41 - access("COUNTRY_DISPLAY"='IT')
43 - access("COUNTRY_DISPLAY"='JP')
45 - access("COUNTRY_DISPLAY"='UK')
47 - access("COUNTRY_DISPLAY"='US')
49 - access("EVENT_CODE"='IEP')
51 - access("IS_SCALL"='Y')
52 - filter("EKP"."KEYWORD_ID"=24 OR "EKP"."KEYWORD_ID"=401 OR "EKP"."KEYWORD_ID"=1090 OR "EKP"."KEYWORD_ID"=1643 OR
"EKP"."KEYWORD_ID"=2278 OR "EKP"."KEYWORD_ID"=2422) When the above query is executed its taking around 10 seconds to return the data.
I am using- Oracle Database 10g Enterprise Edition Release 10.2.0.4.0 - 64bit
I need help in bringing down the query execution time.
Thanks,
Girish GA few questions:
1. Are any indexes available on the Event_KeyWord_Mapping table?
2. What does '1.4 L records' mean? Not familiar with 'L'.
3. Are the statistics up to date for the tables and indexes involved?
4. Are EVENT_ID and KEYWORD_ID the only columns accessed from the Event_KeyWord_Mapping table?
Assuming the above then DarkStargate's suggestion is on point.
But you should add the KEYWORD_ID column to the index as well since that is what the index records are filtered on.
AND ekp.keyword_id IN (
1643,2278,24,1090,2422,401 )Be sure that index statistics are collected; they will provide Oracle with data about the distribution of KEYWORD_ID values.
This will allow Oracle to get the required information from the index without accessing the Event_KeyWord_Mapping table itself. -
Display Years between dates - Need Help.!!!
Dear Reader,
I need help to resolve this.
Below are the values stored in table:
SOME_ID START_DATE END_DATE
1 15-NOV-2001 04-MAY-2002
1 05-MAY-2004 04-MAY-2007
1 05-MAY-2007 27-JAN-2008
2 07-NOV-1991 02-FEB-1994
2 07-NOV-1998 02-FEB-1999
For example, the query should return as follows :
For SOME_ID 1:
SOME_ID YEARS
1 2001
1 2002
1 2004
1 2005
1 2006
1 2007
1 2008
Kindly help in providing the solution.
Thanks in Advance.with sample_table as (
select 1 some_id,to_date('15-NOV-2001','dd-mon-yyyy') start_date,to_date('04-MAY-2002','dd-mon-yyyy') end_date from dual union all
select 1,to_date('05-MAY-2004','dd-mon-yyyy'),to_date('04-MAY-2007','dd-mon-yyyy') from dual union all
select 1,to_date('05-MAY-2007','dd-mon-yyyy'),to_date('27-JAN-2008','dd-mon-yyyy') from dual union all
select 2,to_date('07-NOV-1991','dd-mon-yyyy'),to_date('02-FEB-1994','dd-mon-yyyy') from dual union all
select 2,to_date('07-NOV-1998','dd-mon-yyyy'),to_date('02-FEB-1999','dd-mon-yyyy') from dual
select distinct some_id,
column_value years
from sample_table,
table(
cast(
multiset(
select to_number(to_char(start_date,'yyyy')) + level - 1
from dual
connect by to_number(to_char(start_date,'yyyy')) + level - 1 <= to_number(to_char(end_date,'yyyy'))
as sys.OdciNumberList
where some_id = 1
order by years
SOME_ID YEARS
1 2001
1 2002
1 2004
1 2005
1 2006
1 2007
1 2008
7 rows selected.
SQL> SY. -
Please, need help with a query
Hi !
Please need help with this query:
Needs to show (in cases of more than 1 loan offer) the latest create_date one time.
Meaning, In cases the USER_ID, LOAN_ID, CREATE_DATE are the same need to show only the latest, Thanks!!!
select distinct a.id,
create_date,
a.loanid,
a.rate,
a.pays,
a.gracetime,
a.emailtosend,
d.first_name,
d.last_name,
a.user_id
from CLAL_LOANCALC_DET a,
loan_Calculator b,
bv_user_profile c,
bv_mr_user_profile d
where b.loanid = a.loanid
and c.NET_USER_NO = a.resp_id
and d.user_id = c.user_id
and a.is_partner is null
and a.create_date between
TO_DATE('6/3/2008 01:00:00', 'DD/MM/YY HH24:MI:SS') and
TO_DATE('27/3/2008 23:59:00', 'DD/MM/YY HH24:MI:SS')
order by a.create_dateTake a look on the syntax :
max(...) keep (dense_rank last order by ...)
http://download.oracle.com/docs/cd/B19306_01/server.102/b14200/functions056.htm#i1000901
Nicolas. -
Please need help with this query
Hi !
Please need help with this query:
Needs to show (in cases of more than 1 loan offer) the latest create_date one time.
Meaning, In cases the USER_ID, LOAN_ID, CREATE_DATE are the same need to show only the latest, Thanks!!!
select distinct a.id,
create_date,
a.loanid,
a.rate,
a.pays,
a.gracetime,
a.emailtosend,
d.first_name,
d.last_name,
a.user_id
from CLAL_LOANCALC_DET a,
loan_Calculator b,
bv_user_profile c,
bv_mr_user_profile d
where b.loanid = a.loanid
and c.NET_USER_NO = a.resp_id
and d.user_id = c.user_id
and a.is_partner is null
and a.create_date between
TO_DATE('6/3/2008 01:00:00', 'DD/MM/YY HH24:MI:SS') and
TO_DATE('27/3/2008 23:59:00', 'DD/MM/YY HH24:MI:SS')
order by a.create_datePerhaps something like this...
select id, create_date, loanid, rate, pays, gracetime, emailtosend, first_name, last_name, user_id
from (
select distinct a.id,
create_date,
a.loanid,
a.rate,
a.pays,
a.gracetime,
a.emailtosend,
d.first_name,
d.last_name,
a.user_id,
max(create_date) over (partition by a.user_id, a.loadid) as max_create_date
from CLAL_LOANCALC_DET a,
loan_Calculator b,
bv_user_profile c,
bv_mr_user_profile d
where b.loanid = a.loanid
and c.NET_USER_NO = a.resp_id
and d.user_id = c.user_id
and a.is_partner is null
and a.create_date between
TO_DATE('6/3/2008 01:00:00', 'DD/MM/YY HH24:MI:SS') and
TO_DATE('27/3/2008 23:59:00', 'DD/MM/YY HH24:MI:SS')
where create_date = max_create_date
order by create_date -
I need help choosing RAM for MSI PM8PM-V 7222 VER. 2.0 MB
hey everyone as you know my MB is in the subject and i need help buying ram for it. on the MSI website it says it can surpport max. 2GB so 1GB in each slot? it only has 2 slots also what DDR and MHZ clock, DRAM fequency etc does the ram have to be and both single sided or double sided or 1 single and 1 double?
thanksQuote
also what DDR and MHZ clock, DRAM fequency etc does the ram have to be
http://global.msi.eu/index.php?func=proddesc&maincat_no=1&prod_no=1039
Quote
• Supports DDR2 533/400 memory interface.
Check the memory support list for best compatibility:
http://global.msi.eu/uploads/test_report/TR10_1039.pdf -
hii All
I need help for pl/sql function.
I build a function for monthly attendance all employees.
but now i want to show all Sundays with 'S' and others respectively 'P' and 'A'.
Currently Sunday also shows 'A'
So please help
SQL queries ... like
SELECT DISTINCT AL.USERNAME,
CASE WHEN DAY1 =1 THEN 'P' ELSE 'A' END DAY1,
CASE WHEN DAY2 =1 THEN 'P' ELSE 'A' END DAY2,
CASE WHEN DAY3 =1 THEN 'P' ELSE 'A' END DAY3,
CASE WHEN DAY31 =1 THEN 'P' ELSE 'A' END DAY31
FROM
SELECT DISTINCT USERNAME, SUM(CASE WHEN
fromdt=TRUNC(L.LOGIN_DATE) THEN
1
ELSE
0
END) DAY1
,SUM(CASE WHEN
fromdt +1=TRUNC(L.LOGIN_DATE) THEN
1
ELSE
0
END) DAY2,
SUM(CASE WHEN
fromdt+30=TRUNC(L.LOGIN_DATE) THEN
1
ELSE
0
END) DAY31
FROM ( SELECT DISTINCT TRUNC(LOGIN_DATE)LOGIN_DATE ,USERNAME FROM FCDM_AUDIT_TRAIL_NEW WHERE
TRUNC(LOGIN_DATE) BETWEEN fromdt AND todt
-- to_date( login_date, 'dd-mom-yyyy') between to_date( fromdt, 'dd-mom-yyyy') and to_date( todt, 'dd-mom-yyyy')
) L
GROUP BY USERNAME
) AL;
how can i show matched Sundays and show with 'SUN' or 'S'
Regards
vij..Try this way:
SELECT USERNAME,
MAX(CASE WHEN to_char(fromdt,'d')='1' and fromdt=TRUNC(L.LOGIN_DATE) THEN 'S'
WHEN to_char(fromdt,'d')!='1' and fromdt=TRUNC(L.LOGIN_DATE) THEN 'P'
ELSE 'A') DAY1,
MAX(CASE WHEN to_char(fromdt+1,'d')='1' and fromdt+1=TRUNC(L.LOGIN_DATE) THEN 'S'
WHEN to_char(fromdt+1,'d')!='1' and fromdt+1=TRUNC(L.LOGIN_DATE) THEN 'P'
ELSE 'A') DAY2,
MAX(CASE WHEN to_char(fromdt+30,'d')='1' and fromdt+30=TRUNC(L.LOGIN_DATE) THEN 'S'
WHEN to_char(fromdt+30,'d')!='1' and fromdt+30=TRUNC(L.LOGIN_DATE) THEN 'P'
ELSE 'A') DAY31
FROM
(SELECT DISTINCT TRUNC(LOGIN_DATE) LOGIN_DATE,
USERNAME
FROM FCDM_AUDIT_TRAIL_NEW
WHERE TRUNC(LOGIN_DATE) BETWEEN fromdt AND todt
) L
Group by USERNAME
;Max
http://oracleitalia.wordpress.com -
Hi everyone...
I need help with this query. The table 'cobros' has a primary key defined by id_cliente + id_cobro. I pretend to classify rows by COUNT(id_cobro) which are between a date range.
A client could have 1 or 2 or 3 rows per day, no more for a specific date. I would like to get first, all clients with COUNT(id_cobro) = 1, all clients with COUNT(id_cobro) = 2, and finally all clients with COUNT(id_cobro) = 3.
Something similar to:
1 SELECT id_cliente, COUNT(id_cobro) FROM cobros
2 WHERE fecha_proximo_cobro >= '2011-05-30 00:00'
3 AND fecha_proximo_cobro <= '2011-05-30 23:59'
4 AND COUNT(id_cobro) = 1
5 GROUP BY id_cliente
The fourth line is the problem. It doesn't work.
Thanks in advance!!!
MarioMaybe you are looking for something like this?
SELECT id_cliente
, COUNT(*) AS cnt
FROM cobros
WHERE fecha_promixo_cobro BETWEEN TO_DATE('2011-05-30 00:00','YYYY-MM-DD HH24:MI') AND TO_DATE('2011-05-30 23:59','YYYY-MM-DD HH24:MI')
GROUP BY id_cliente
ORDER BY 2
, 1Also, NEVER rely on implicit data type conversion as you have (you provide a STRING not a DATE).
Edited by: Centinul on Jun 2, 2011 12:36 PM
Fixed syntax error. -
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. -
I've got a period to date report with following columns:
week1 tots, week2 tots, week3 tots, week4 tots, week5 tot, period-to-date tots, year-to-date tots
I have a SELECT statement which totals data for the entire year and separates current period totals
by grouping on the week_nbr . Any date between beginning of year and the end of the previous period will be week 0
The Select statement retursn 6 rows: 1 for each week in period and one with week_nbr = 0 which represents the totals from the beginning of year
to the end of the previous period.
the select statement returns the data correctly . I need help getting the YTD total for (weeks 1 - 5) + (totals for week 0) for each column.
This means that I will have a 7th record containing the YTD totals. ( I am not concerned with the PTD totals)
I tried sum by partition but complex decode statement gave me problems.
CREATE TABLE PERIOD_DATA
( "HOT_DOG_STAND_ID" NUMBER NOT NULL ENABLE,
"WEEK_DATE" DATE,
"NET_SALES2" NUMBER,
"BUNS24434" NUMBER,
"PICKELS_AW38" NUMBER,
"MUSTARD_TB56" NUMBER,
"CHICKENHEADS33" NUMBER,
"PIECES_SOLD34" NUMBER,
"SCRAPS35" NUMBER,
"PIECES_UNACCOUNTED" NUMBER
REM INSERTING into PERIOD_DATA
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('29-DEC-08','DD-MON-RR HH.MI.SSXFF AM'),14301.39,13951.26,3431.13,0,3680,2484,378,818);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('05-JAN-09','DD-MON-RR HH.MI.SSXFF AM'),14651.37,14651.37,3249.55,0,3200,2419,505,276);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('12-JAN-09','DD-MON-RR HH.MI.SSXFF AM'),14169.89,14169.89,2463.53,0,3136,2080,474,582);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('19-JAN-09','DD-MON-RR HH.MI.SSXFF AM'),15864.46,15864.46,3245.49,0,3472,2764,475,233);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('26-JAN-09','DD-MON-RR HH.MI.SSXFF AM'),15961.2,15916.23,3395.51,0,3648,2838,392,418);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('02-FEB-09','DD-MON-RR HH.MI.SSXFF AM'),19066.4,19066.4,4165.07,0,4336,3682,333,321);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('09-FEB-09','DD-MON-RR HH.MI.SSXFF AM'),18415.74,18415.74,4024.74,0,4032,3365,482,185);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('16-FEB-09','DD-MON-RR HH.MI.SSXFF AM'),18014,17849,3486.33,0,3840,3238,374,228);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('23-FEB-09','DD-MON-RR HH.MI.SSXFF AM'),18671.09,18626.12,3729.42,0,3888,2970,353,565);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('02-MAR-09','DD-MON-RR HH.MI.SSXFF AM'),17636,17636,3815,0,3424,2840,490,94);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('09-MAR-09','DD-MON-RR HH.MI.SSXFF AM'),17235.52,17145.58,3897.42,0,3504,2928,421,155);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('16-MAR-09','DD-MON-RR HH.MI.SSXFF AM'),15989.27,15989.27,3372.95,0,3728,3051,369,308);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('23-MAR-09','DD-MON-RR HH.MI.SSXFF AM'),19067.69,18960.41,4152.6,0,4048,3293,442,313);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('30-MAR-09','DD-MON-RR HH.MI.SSXFF AM'),18717.99,18717.99,3923.69,0,4408,3219,593,596);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('06-APR-09','DD-MON-RR HH.MI.SSXFF AM'),17335.16,17335.16,3769.08,0,3928,2997,514,417);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('13-APR-09','DD-MON-RR HH.MI.SSXFF AM'),18967.39,18967.39,4157.76,0,4144,2991,527,626);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('20-APR-09','DD-MON-RR HH.MI.SSXFF AM'),23090.88,23090.88,4427.96,0,5544,4493,560,491);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('27-APR-09','DD-MON-RR HH.MI.SSXFF AM'),24197.98,24132.99,4248.66,0,6680,5190,606,884);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('04-MAY-09','DD-MON-RR HH.MI.SSXFF AM'),20202.21,20137.22,3714.68,0,7052,6170,422,460);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('11-MAY-09','DD-MON-RR HH.MI.SSXFF AM'),18514.48,18514.48,3266.06,0,5508,4178,571,759);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('18-MAY-09','DD-MON-RR HH.MI.SSXFF AM'),18678.68,18678.68,3814.07,0,5824,4345,633,846);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('25-MAY-09','DD-MON-RR HH.MI.SSXFF AM'),17937.18,17937.18,3051.52,0,4844,4986,529,-671);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('01-JUN-09','DD-MON-RR HH.MI.SSXFF AM'),17445.75,17445.75,3079.91,0,5028,4810,656,-438);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('08-JUN-09','DD-MON-RR HH.MI.SSXFF AM'),17327.88,17327.88,3263.29,0,6112,4674,672,766);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('15-JUN-09','DD-MON-RR HH.MI.SSXFF AM'),17241.72,16937.33,3328.27,0,5792,4490,567,735);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('22-JUN-09','DD-MON-RR HH.MI.SSXFF AM'),16625.83,16625.83,3485.18,0,5408,4319,761,328);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('29-JUN-09','DD-MON-RR HH.MI.SSXFF AM'),17002.84,17002.84,3091.09,0,5664,4369,544,751);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('06-JUL-09','DD-MON-RR HH.MI.SSXFF AM'),16339.19,16274.2,3075.3,0,4784,3440,697,647);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('13-JUL-09','DD-MON-RR HH.MI.SSXFF AM'),17165.12,16885.14,3458.03,0,4320,3296,640,384);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('20-JUL-09','DD-MON-RR HH.MI.SSXFF AM'),17029.77,16899.79,3198.91,0,4448,3449,645,354);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('27-JUL-09','DD-MON-RR HH.MI.SSXFF AM'),16596.89,16596.89,3015.54,0,4624,3288,665,671);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('03-AUG-09','DD-MON-RR HH.MI.SSXFF AM'),16468.58,16468.58,2981.35,0,2224,3495,564,-1835);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('10-AUG-09','DD-MON-RR HH.MI.SSXFF AM'),18625.48,18550.5,3524.44,0,4856,3482,578,796);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('17-AUG-09','DD-MON-RR HH.MI.SSXFF AM'),24538.54,24323.55,5580.71,0,5260,3771,608,881);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('24-AUG-09','DD-MON-RR HH.MI.SSXFF AM'),18081.37,18081.37,3533.45,0,5980,3080,553,2347);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('31-AUG-09','DD-MON-RR HH.MI.SSXFF AM'),17183.25,17183.25,3487.12,0,2544,3262,615,-1333);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('07-SEP-09','DD-MON-RR HH.MI.SSXFF AM'),17688.41,17575.29,3424.17,0,4800,3480,591,729);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('14-SEP-09','DD-MON-RR HH.MI.SSXFF AM'),18211.29,18211.29,3806.32,0,3968,3104,527,337);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('21-SEP-09','DD-MON-RR HH.MI.SSXFF AM'),16809.21,16744.22,3014.61,0,4128,3124,710,294);
SELECT HOT_DOG_STAND_ID
, DECODE(TRUNC(week_date , 'iw') ,
to_date('24-AUG-09' , 'dd-mon-rr') , 1 ,
to_date('24-AUG-09' , 'dd-mon-rr') + 7 , 2 ,
to_date('24-AUG-09' , 'dd-mon-rr') + 14 , 3 ,
to_date('24-AUG-09' , 'dd-mon-rr') + 21 , 4 ,
to_date('24-AUG-09' , 'dd-mon-rr') + 28 , 5 , 0) AS week_nbr
, SUM(NET_SALES2) AS net_sales2
, SUM(BUNS24434 ) BUNS24434
, SUM(PICKELS_AW38) PICKELS_AW38
, SUM(MUSTARD_TB56) MUSTARD_TB56
, SUM(CHICKENHEADS33) CHICKENHEADS33
, SUM(PIECES_SOLD34) PIECES_SOLD34
, SUM(SCRAPS35) SCRAPS35
, SUM(PIECES_UNACCOUNTED) * - 1 PIECES_UNACCOUNTED
/*--== Head average net_sales / chickenusage*/
, CASE
WHEN NVL( SUM(ChickenHeads33) / 8 , 0) = 0 THEN 0
ELSE ROUND(SUM(net_sales2) / ( SUM(ChickenHeads33) / 8 ) , 2)
END AS Head_average
/*--=== Efficiency = (ChickenUsage - scrappedDiv8 - unaccountedDiv8) / ChickenUsage) * 100*/
, CASE
WHEN NVL(SUM(ChickenHeads33) / 8 , 0) = 0 THEN 0
ELSE ROUND((((SUM(ChickenHeads33) / 8 ) - ( SUM(scraps35) / 8 ) - (SUM(pieces_unaccounted) / 8 )) / (SUM(ChickenHeads33) / 8 )) * 100 , 2)
END AS efficiency
FROM period_data per
WHERE week_DATE BETWEEN TRUNC(TO_DATE( '24-AUG-09' , 'DD-MON-YY') , 'IY') AND TRUNC(TO_DATE( '24-AUG-09' , 'DD-MON-YY') , 'IW') + 6 + 7 * 4
GROUP BY hot_dog_stand_id
, DECODE(TRUNC(week_date , 'iw') ,
to_date('24-AUG-09' , 'dd-mon-rr') , 1 ,
to_date('24-AUG-09' , 'dd-mon-rr') + 7 , 2 ,
to_date('24-AUG-09' , 'dd-mon-rr') + 14 , 3 ,
to_date('24-AUG-09' , 'dd-mon-rr') + 21 , 4 ,
to_date('24-AUG-09' , 'dd-mon-rr') + 28 , 5 ,
0)
ORDER BY DECODE(TRUNC(week_date , 'iw') , to_date('24-AUG-09' , 'dd-mon-rr') , 1 , to_date('24-AUG-09' , 'dd-mon-rr') + 7 , 2 , to_date('24-AUG-09' , 'dd-mon-rr') + 14 , 3 , to_date('24-AUG-09' , 'dd-mon-rr') + 21 , 4 , to_date('24-AUG-09' , 'dd-mon-rr') + 28 , 5 , 0);The expected results will be:
HOT_DOG_STAND_ID WEEK_NBR NET_SALES2 BUNS24434 PICKELS_AW38 MUSTARD_TB56 CHICKENHEADS33 PIECES_SOLD34 SCRAPS35 PIECES_UNACCOUNTED HEAD_AVERAGE EFFICIENCY
141 7 697067.09 694887.4 139149.91 0 175808 139454 21036 15318 31.72 79.32 You can get these dame results by running endpot-to-endpoint query:
SELECT HOT_DOG_STAND_ID
, max(7) as week_nbr
,sum(NET_SALES2) net_sales2
,sum(BUNS24434 ) BUNS24434
,sum(PICKELS_AW38) PICKELS_AW38
,sum(MUSTARD_TB56) MUSTARD_TB56
,sum(CHICKENHEADS33) CHICKENHEADS33
,sum(PIECES_SOLD34) PIECES_SOLD34
,sum(SCRAPS35) SCRAPS35
,sum(PIECES_UNACCOUNTED) PIECES_UNACCOUNTED
---===== Copied code from outer query
--== net_sales / chickenusage
, CASE
WHEN NVL( sum(ChickenHeads33) / 8 ,0) = 0 then 0
ELSE ROUND(sum(net_sales2)/ ( sum(ChickenHeads33) / 8 ) , 2)
END as Head_average
--=== Efficiency = (ChickenUsage - scrappedDiv8 - unaccountedDiv8) / ChickenUsage) * 100
, CASE
WHEN NVL(sum(ChickenHeads33) / 8 ,0) = 0 then 0
ELSE ROUND((((sum(ChickenHeads33) / 8 ) - ( sum(scraps35) / 8 ) - (sum(pieces_unaccounted) / 8 )) / (sum(ChickenHeads33) / 8 )) * 100, 2)
END as efficiency
from period_data
WHERE week_DATE BETWEEN TRUNC(TO_DATE( '24-AUG-09' ,'DD-MON-YY'), 'IY') AND TO_DATE( '27-sep-09' ,'DD-MON-YY')
group by hot_dog_stand_id;Thanks In AdvanceHi,
Welcome to the forum!
Thanks for posting the CREATE TABLE and INSERT statements; that's very helpful. You could teach something to some people who have been using this forum for years (except that nobody can teach them).
user12335325 wrote:
The expected results will be:
HOT_DOG_STAND_ID WEEK_NBR NET_SALES2 BUNS24434 PICKELS_AW38 MUSTARD_TB56 CHICKENHEADS33 PIECES_SOLD34 SCRAPS35 PIECES_UNACCOUNTED HEAD_AVERAGE EFFICIENCY
141 7 697067.09 694887.4 139149.91 0 175808 139454 21036 15318 31.72 79.32
Do you mean the expected results will include the row above, and that the results will be this row along with the 6 rows you're already getting? (If you wanted just that one row, I suppose you would just run your second query.)
That sound like a job for ROLLUP.
VARIABLE start_date VARCHAR2 (11);
EXEC :start_date := '24-AUG-2009';
SELECT HOT_DOG_STAND_ID
, NVL (CASE
WHEN week_date >= TO_DATE( :start_date, 'DD-MON-YYYY')
AND week_date < TO_DATE( :start_date, 'DD-MON-YYYY') + 35
THEN 1 + FLOOR ( (week_date - TO_DATE( :start_date, 'DD-MON-YYYY'))
/ 7
ELSE 0
END
, 7
) AS week_nbr
, SUM(NET_SALES2) AS net_sales2
, SUM(BUNS24434 ) BUNS24434
, SUM(PICKELS_AW38) PICKELS_AW38
, SUM(MUSTARD_TB56) MUSTARD_TB56
, SUM(CHICKENHEADS33) CHICKENHEADS33
, SUM(PIECES_SOLD34) PIECES_SOLD34
, SUM(SCRAPS35) SCRAPS35
, SUM(PIECES_UNACCOUNTED) * - 1 PIECES_UNACCOUNTED
/*--== Head average net_sales / chickenusage*/
, CASE
WHEN NVL( SUM(ChickenHeads33) / 8 , 0) = 0 THEN 0
ELSE ROUND(SUM(net_sales2) / ( SUM(ChickenHeads33) / 8 ) , 2)
END AS Head_average
/*--=== Efficiency = (ChickenUsage - scrappedDiv8 - unaccountedDiv8) / ChickenUsage) * 100*/
, CASE
WHEN NVL(SUM(ChickenHeads33) / 8 , 0) = 0 THEN 0
ELSE ROUND((((SUM(ChickenHeads33) / 8 ) - ( SUM(scraps35) / 8 ) - (SUM(pieces_unaccounted) / 8 )) / (SUM(ChickenHeads33) / 8 )) * 100 , 2)
END AS efficiency
FROM period_data per
WHERE week_DATE BETWEEN TRUNC(TO_DATE( '24-AUG-09' , 'DD-MON-YY') , 'IY') AND TRUNC(TO_DATE( '24-AUG-09' , 'DD-MON-YY') , 'IW') + 6 + 7 * 4
GROUP BY hot_dog_stand_id
, ROLLUP (
CASE
WHEN week_date >= TO_DATE( :start_date, 'DD-MON-YYYY')
AND week_date < TO_DATE( :start_date, 'DD-MON-YYYY') + 35
THEN 1 + FLOOR ( (week_date - TO_DATE( :start_date, 'DD-MON-YYYY'))
/ 7
ELSE 0
END -- week_nbr
ORDER BY week_nbr
;Notice I simplified the computation of week_nbr.
Some other people have asked questions about hot dog stands recently.
I'm curious; is this from a course? If so, where? What is the textbook (if any)?
Thanks. -
Need help. Making query faster.
Hello SQL Oracle Expert.
Need Help of below SQL.
The Query Takes 60second to process.
What do i need to do to make it faster.
Thanks.
Indexing on a and b. total Record of 20milion. Using Oracle 10g.
Testing query using SQLtool.
Hope there is someone who can help. :D
SELECT
FROM
( SELECT
xxx.*, rownum rnum
FROM
( SELECT
a,b,c
FROM
( SELECT
a,b,c
FROM
table_a
LEFT JOIN table_b
ON table_a.a = table_b.x
UNION
SELECT
a,b,c
FROM
table_c
WHERE
table_c.c NOT IN ('19','20','52','53','10')
UNION
SELECT
a,b,c
FROM
table_d
WHERE
table_d.c NOT IN ('19','20','52','53','10')
LEFT JOIN table_e
ON a = table_e.a AND c = table_e.c AND SUBSTR(b,23,8) = to_char(table_e.b,'YYYYMMDD')
WHERE
b BETWEEN To_Date('01/05/2009 000000','DD/MM/YYYY HH24MISS') AND To_Date(
'01/06/2009 235959', 'DD/MM/YYYY HH24MISS') AND (a LIKE '%W%')
ORDER BY
2 ASC
xxx
WHERE
rownum <= 20
WHERE
rnum >= 1Hello,
How about you generate an execution plan and post its output here, beside oracle version and OS?
sqlplus username/password
sql>set autotrace traceonly;
sql>set lines 400;
sql>set timi on;
sql>@myquery.sql
#myquery.sql
SELECT *
FROM (SELECT xxx.*, ROWNUM rnum
FROM ( SELECT a, b, c
FROM (SELECT a, b, c
FROM table_a
LEFT JOIN
table_b
ON table_a.a = table_b.x
UNION
SELECT a, b, c
FROM table_c
WHERE table_c.c NOT IN
('19', '20', '52', '53', '10')
UNION
SELECT a, b, c
FROM table_d
WHERE table_d.c NOT IN
('19', '20', '52', '53', '10'))
LEFT JOIN
table_e
ON a = table_e.a AND c = table_e.c
AND SUBSTR (b, 23, 8) =
TO_CHAR (table_e.b, 'YYYYMMDD')
WHERE b BETWEEN TO_DATE ('01/05/2009 000000',
'DD/MM/YYYY HH24MISS')
AND TO_DATE ('01/06/2009 235959',
'DD/MM/YYYY HH24MISS')
AND (a LIKE '%W%')
ORDER BY 2 ASC) xxx
WHERE ROWNUM <= 20)
WHERE rnum >= 1h3. Also post your code or output between \ tags to preserve formatting
your code or output goes here
\Regards
OrionNet
Regards -
Need help tuning slow running query
Need help tuning below two Oracle queries:
Query #1:
======================
SELECT "WORK_ORDER_FACT_ALL_YESTERDAY"."WORK_ORDER_HISTORY_ID",
"WORK_ORDER_FACT_ALL_YESTERDAY"."ACCOUNT_NUMBER",
"ACCOUNT_DIM"."ACCOUNT_NUMBER", "ACCOUNT_DIM"."ACCOUNT_WS_DISC_DATE"
FROM "CDWD"."WORK_ORDER_FACT_ALL_YESTERDAY" "WORK_ORDER_FACT_ALL_YESTERDAY",
"CDWD"."ACCOUNT_DIM" "ACCOUNT_DIM"
WHERE (SUBSTR ("WORK_ORDER_FACT_ALL_YESTERDAY"."ACCOUNT_FIRST_NAME", 1, 1) =
SUBSTR ("ACCOUNT_DIM"."ACCOUNT_FIRST_NAME", 1, 1)
AND (SUBSTR ("WORK_ORDER_FACT_ALL_YESTERDAY"."ACCOUNT_LAST_NAME", 1, 4) =
SUBSTR ("ACCOUNT_DIM"."ACCOUNT_LAST_NAME", 1, 4)
AND ("WORK_ORDER_FACT_ALL_YESTERDAY"."ACCOUNT_DL_NUMBER" =
"ACCOUNT_DIM"."ACCOUNT_DL_NUMBER"
AND "WORK_ORDER_FACT_ALL_YESTERDAY"."WO_TYPE_CODE" IN ('25', '27')
AND ("ACCOUNT_DIM"."REVENUE_TYPE_ID" = 1)
AND ("WORK_ORDER_FACT_ALL_YESTERDAY"."TRANSFER_COUNT" = 0)
AND ("WORK_ORDER_FACT_ALL_YESTERDAY"."WINBACK_ADD_COUNT" = 0)
AND ("ACCOUNT_DIM"."ACCOUNT_WS_ENTRY_DATE" <
(TO_DATE ('2006.05.02', 'yyyy.mm.dd') - 11
AND ("WORK_ORDER_FACT_ALL_YESTERDAY"."IS_DERIVED" = 0)
AND ("ACCOUNT_DIM"."EXPIRATION_DATE" IS NULL)
AND ("WORK_ORDER_FACT_ALL_YESTERDAY"."ACT_ACCOUNT_TYPE_CD" <> '50');
Query #2
==================
UPDATE work_order_fact_all_yesterday g
SET returns_count = 1
WHERE EXISTS (SELECT 1
FROM (SELECT a.phone_dim_key AS transactional_phone_dim_key,
b.mdn_number AS transactional_mdn_number,
b.account_number AS transactional_account_number
FROM work_order_fact_all_yesterday a INNER JOIN phone_dim b ON a.phone_dim_key = b.phone_dim_key
WHERE a.gross_deactivations_count = 1) e
INNER JOIN (SELECT c.phone_dim_key AS historical_phone_dim_key,
d.mdn_number AS historical_mdn_number,
d.account_number AS historical_account_number
FROM (SELECT phone_dim_key
FROM work_order_activity_fact
WHERE gross_adds_count = 1
AND report_date >= :b1 - 66
AND NVL (is_derived, 0 ) = 0
UNION
SELECT phone_dim_key
FROM work_order_fact_all_yesterday
WHERE gross_adds_count = 1
AND is_derived = 0) c
INNER JOIN phone_dim d ON c.phone_dim_key = d.phone_dim_key ) f
ON e.transactional_mdn_number = f.historical_mdn_number
AND e.transactional_account_number = f.historical_account_number
WHERE e.transactional_phone_dim_key = g.phone_dim_key)
AND g.gross_deactivations_count = 1
AND g.account_revenue_type_id = 1;
I ran the DBMS_SQLTUNE on it for 10g and did not get any advice. How can I tune the above queries? Thanks!Tune the SQL? Looking at the join criteria of SUBSTR("WORK_ORDER_FACT_ALL_YESTERDAY"."ACCOUNT_FIRST_NAME", 1, 1) = SUBSTR ("ACCOUNT_DIM"."ACCOUNT_FIRST_NAME", 1, 1) and other substrings, it seems to me that you have basic flaws in your relation design.
Column must be atomic values. Having to extract a sub-set value from a column to create the intelligence needed to join to another table - that is just plain wrong in relation design. Never mind the performance impact and overheads it causes in the database. -
Need help to develop Pythagoras theorem-
Hi i need help to develop proofs 2,3,4
of pythagoras theorems in java as demonstrations
These are applets can anyone help me with it or give me an idea of how to go about developing it -
the site is the following
http://www.uni-koeln.de/ew-fak/Mathe/Projekte/VisuPro/pythagoras/pythagoras.html
then double click on the screen to make it startPardon my ASCII art, but I've always liked the following, simple, geometric proof:
a b
---------------------------------------+
| | |
a| I | II |
| | |
---------------------------------------+
| | |
| | |
| | |
| | |
| | |
b| IV | III |
| | |
| | |
| | |
| | |
| | |
| | |
---------------------------------------+It almost goes without saying that I+II+III+IV == (a+b)^2, and II == IV == a*b,
I == a*a and III == b*b, showing that (a+b)^2 == a^2+a*b+a*b+b^2.
I hope the following sketch makes sense, stand back, ASCII art alert again: a b
---------------------------------------+
| . VI |
| . . |a
| V . |
| +
| |
| . |
b| . |
| |
| IX |
| . |
| . |b
| |
+ |
| . |
a| . . VII |
| VIII . |
---------------------------------------+
a bThe total area equals (a+b)^2 again and equals the sum of the smaller areas:
(a+b)^2 == V+VI+VII+VIII+IX. Let area IX be c^2 for whatever c may be.
V+VII == VI+VIII == a*b, so a^2+b^2+2*ab= c^2+2*a*b; IOW a^2+b^2 == c^2
Given this fundamental result, the others can easily be derived from this one,
or did I answer a question you didn't ask?
kind regards,
Jos -
I need help to find and open a job app that I exported, was able to fill out and sign and saved and now can't open it? What did I do wrong?
What file format did you export it to?
-
Need help to open audios attached in a PDF file
Hello
I just need help. I have ordered a reviewer online that has audios and texts in a pdf file. I was told to download the latest adobe reader on my computer. I have done the same thing on my ipad mini. I am not so technical with regards to these things. Therefore I need help. I can access the audios on my computer but not on my ipad.
I want to listen to audios with scripts or texts on them so i can listen to them when i am on the go. I was also informed that these files should work in any device. How come the audios doesnt work on my ipad.
Please help me on what to do.
ThanksAudio and video are not currently support on Adobe Reader. :-<
You need to buy a PDF reader that supports them. My suggestion is PDF Expert from Readdle ($US 9.99)
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