TOP query
What's wrong with this query?
SELECT TOP 8 WEEK_END_DATE FROM M_CAL ORDER BY WEEK_END_DATE DESC
Gettgin an error FROM keyword not found where expected...
Hi,
Can you tell us what is that TOP 8 ?
Is it a function?
Try this code,
SELECT *
FROM (SELECT WEEK_END_DATE FROM M_CAL ORDER BY DESC)
WHERE ROWNUM < 9;With Best Regards,
Vijayasekaran.N
Similar Messages
-
Hi,
Can somebody give me the HANA equivalent of the following SQL query:
SELECT TOP (731-624+1) COLUMNNAME FROM TABLENAME
In case of HANA, it gives syntax error near "(".Hi Yash,
As per the HANA SQL syntax supported case is
<select_clause> ::= SELECT [TOP <unsigned_integer>] [ ALL | DISTINCT ]
<select_list>
After Top only an unsigned intger is expected and cannot handle an <expression> like in your example.
Hope this is useful.
Best Regards,
Ranjit -
How TOP query will work in SQL Server?
Hi Experts,
While running TOP command, what internally happen in SQL Server Engine ? How its fetching TOP 10 rows from Table.
Thanks
SelvaThat is the *logical* query processing order, which isn't the same as the *physical* processing order.
As for how SQL Server performs TOP, then as syggested it very much depends on whether there is an ORDER BY or not. Since, TOP is logically processed after ORDER BY, you change the semantics of the TOP operation a lot when you add ORDER BY. But as usual,
we can't say anything about the physcial query order with having an example to talk about. Too many involved factors, like how the rest of the query look like, the schema, what indexes we have, data distribution etc.
Tibor Karaszi, SQL Server MVP |
web | blog -
Hi,
Any help would be appreciated. I have a query that is the top(5) but I want them to be distinct on only one column value, not on the entire row. Any help would be really appreciated.
Regards,
SeamusSELECT TOP 5 [DISTINCT COLUMN], MAX([SOME OTHER COLUMN]), MAX([SOME OTHER COLUMN], MAX([SOME OTHER COLUMN])
FROM [TABLE]
GROUP BY [DISTINCT COLUMN]
This will do it, but the values may display incorrectly, since it's taking the MAX value of each partition of your distinct column, so another way would be:
;WITH CTE AS(
SELECT *, ROW_NUMBER() OVER(PARTITION BY [DISTINCT COLUMN] ORDER BY NEWID()) AS RN
FROM [TABLE])
SELECT TOP 5 [DISTINCT COLUMN], [OTHER COLUMN], [OTHER COLUMN]
FROM CTE
WHERE RN = 1
Thanks. -
Hi All,
If it possible in WEBI, Can we create query on the top of the query in WEBI. I checked in sub query but it is query in the query.
select distinct DESK.fintransact from
(select distinct Top.fintransact, (Top.credit - Top.debit) as Amount
From
Iowa.findetail Top
inner join Iowa.fintransact Bug on Bug.fintransact = Top.fintransact
where (Top.account='10690 30115075' or Iowa.SAPAccountCode(Top.account) = '30115075')
AND (Bug.SUBLEDGER <> 'CD' AND Bug.SUBLEDGER <> 'CR' AND Bug.SUBLEDGER <> 'AP' AND Top.TRANSACTIONTYPE <> 'AP')
and Bug.ACCTDATE BETWEEN to_date(@Prompt('Enter the Account Beginning Date (MM/DD/YYYY) ','A',,mono,free),'MM/DD/YYYY') AND to_date(@Prompt('Enter the Account Ending Date (MM/DD/YYYY) ','A',,mono,free),'MM/DD/YYYY')
and Bug.COMPANY IN @Prompt('Iowa Health Name(s) or * for All','A','Sales Recap\Company',multi,free) OR ('*' IN @Prompt('Iowa Health Name(s) or * for All','A','Sales Recap\Company',multi,free))
) DESK
group by DESK.fintransact having sum(DESK.amount) = 0
The issue is the Inside query contains 2 objects Top.fintransact, (Top.credit - Top.debit) as Amount with the following results for date range
Inside Query
Top.fintransact Amount
204213 0
204093 0
204091 99595.01
203431 32332.91
322452 0
342342 33516.88
65765 0
Top Query
Top.fintransact Amount
204213 0
204093 0
322452 0
65765 0
I tried different way like Result from another query. I should feed the Top query result to another query.Thanks a lot your query worked and I can see exact data.
Could please help me in the following code this bit different which is in Custom SQL. In the code in the From Clause there is a code which acts as Table . How can I achieve this in WEBI as a single .
SELECT DISTINCT
PENDETAIL.TRADE,
PENDETAIL.PRODUCT,
PENTRANSACT.ACCTDATE,
PENDETAIL.PENTRANSACT,
PENTRANSACT.SAP_DOCUMENT_NO,
PENDETAIL.ACCOUNT,
Iowa.SAPAccountCode(PENDETAIL.ACCOUNT) sapact,
PENDETAIL.COUNTERPARTY,
PENDETAIL.QUANTITY,
PENDETAIL.CREDIT,
PENDETAIL.DEBIT,
SHIPMENTPENDTL.VESSEL,
PENDETAIL.DESCRIPTION,
(( PENDETAIL.CREDIT ) - ( PENDETAIL.DEBIT )) amt,
COUNTERPARTY_PENCP.SIC,
Iowa.SAPProfitCenter(PENDETAIL.ACCOUNT) a,
PENTRANSACT.COMPANY,
PENDETAIL.SHIPMENT,
PENDETAIL.SUBLEDGER,
NVL(PENDETAIL.CONTRACT,DEV_GROSS_LENGTH_DETAIL.CONTRACT),
PENDETAIL.PENDETAIL,
PENDETAIL.QUANTITYSTATUS,
PENDETAIL.QUALITY
FROM
PENDETAIL,
PENTRANSACT,
SHIPMENT SHIPMENTPENDTL,
COUNTERPARTY COUNTERPARTY_PENCP,
(Select distinct shipment, contract from PENdetail where contract is not null) DEV_GROSS_LENGTH_DETAIL
WHERE
( PENTRANSACT.PENTRANSACT=PENDETAIL.PENTRANSACT )
AND ( SHIPMENTPENDTL.SHIPMENT(+)=PENDETAIL.SHIPMENT )
AND ( PENDETAIL.SHIPMENT = DEV_GROSS_LENGTH_DETAIL.SHIPMENT)
AND ( COUNTERPARTY_PENCP.COUNTERPARTY=PENTRANSACT.COMPANY )
AND (
PENTRANSACT.ACCTDATE BETWEEN @variable('Enter the Beginning Date (MM/DD/YYYY)') AND @variable('Enter the Ending Date (MM/DD/YYYY)')
AND Iowa.SAPAccountCode(PENDETAIL.ACCOUNT) IN ('30110075', '30115075', '40110075', '40115075')
AND PENTRANSACT.COMPANY IN @variable('Enter Company Name')
In the code the difference is in the FROM Clause which acts a table :
(Select distinct shipment, contract from PENdetail where contract is not null) DEV_GROSS_LENGTH_DETAIL
In Where clause:
AND ( PENDETAIL.SHIPMENT = DEV_GROSS_LENGTH_DETAIL.SHIPMENT)
Select Clause:
NVL(PENDETAIL.CONTRACT,DEV_GROSS_LENGTH_DETAIL.CONTRACT),
For some code I think there is no need of derived table I guess. -
Wwv_FLOW_FILE_OBJECTS$ query shows superior activity from Enterprise Manager
Hello!
A have noticed some bad performance on database, Enterprise manager says the next query is top query.
SELECT ID ,
MIME_TYPE ,
BLOB_CONTENT,
FILENAME ,
FILE_CHARSET,
FILE_TYPE ,
FLOW_ID ,
CREATED_ON ,
LAST_UPDATED
FROM WWV_FLOW_FILE_OBJECTS$
WHERE FILENAME = :B2
AND SECURITY_GROUP_ID = :B1
I know its apex schema, but where is this code?
also it says about virtual circuit wait.
can you help me understand what is happening?Christian
Thank you very much,
I switched to Apex Listener over Weblogic Server that was already working, just added a new managed server and deployed apex.war and i.war on it.
the server resources are very good now. -
High Concurrent SQL query of DBSNMP user
OS Linux
DB 11.2.0.2
we have a 12 node RAC box on exadata. We are doing the monitoring through the OEM GRID. In the 12th node we see a high concurrent sql query owned by the DBSNMP user.The concurrency is about 98% and it the top query in that instance. Please suggest me what we shoud do to decrease it.
Below is the query
SELECT s.inst_id, s.name, i.instance_name
FROM gv$active_services s, gv$instance i
WHERE s.name = :p1 AND s.inst_id = i.inst_idHi,
We applied the patch 9482559 which was suggested by oracle for a different issue and after applying this patch the high concurrent dbsnmp sql issue is gone. -
Hello everyone, I kindly need help with a query I am trying to write. I think it's meant to be a kind of join but I'm a little unsure. Here is an example:
select a.person_id, a.company, b.name, e.element, f.value
from a, b, e, f
where a.person_id = b.person_id
and e.el_id = f.el_id
-- e.t.c
Lets say this returns
person_id, company, name, element, value
1, Vols, krog, lunch, 34
2, Mols, flog, munch, 24
The problem now is the table e. I want to get all values from table e that meet a certain criteria. As in:
select e.element
where e.name = 'EVALUE'
Lets say this returns
element
food
lunch
munch
And combine it with the top query. But I also want to show all of the other values, a.person_id, a.company, b.name for each row.
So my goal is to have finally:
person_id, company, name, element, value
1, Vols, krog, lunch, 34
1, Vols, krog, food, 0
1, Vols, krog, munch, 0
2, Mols, flog, munch, 24
2, Mols, flog, food, 0
2, Mols, flog, lunch, 0
That is to have a default for zero where no join exists for value and not to duplicate anything although I could still use distinct.
Can anyone help with this?with t1 as (
select a.person_id, a.company, b.name, e.element, f.value
from a, b, e, f
where a.person_id = b.person_id
and e.el_id = f.el_id
-- e.t.c
t2 as (
select e.element
where e.name = 'EVALUE'
select person_id,
company,
name,
t2.element,
sum(
case t1.element
when t2.element then value
else 0
end
) value
from t1,
t2
group by person_id,
company,
name,
order by person_id,
company,
name,
t2.element
/For example:
with t1 as (
select 1 person_id, 'Vols' company, 'krog' name, 'lunch' element, 34 value from dual union all
select 2, 'Mols', 'flog', 'munch', 24 from dual
t2 as (
select 'food' element from dual union all
select 'lunch' from dual union all
select 'munch' from dual
select person_id,
company,
name,
t2.element,
sum(
case t1.element
when t2.element then value
else 0
end
) value
from t1,
t2
group by person_id,
company,
name,
t2.element
order by person_id,
company,
name,
t2.element
PERSON_ID COMP NAME ELEME VALUE
1 Vols krog food 0
1 Vols krog lunch 34
1 Vols krog munch 0
2 Mols flog food 0
2 Mols flog lunch 0
2 Mols flog munch 24
6 rows selected.
SQL> SY. -
Why is my query using the wrong index?
Hi SQL Tuning experts....
I'm running Oracle 11.2.0.2 EE on Solaris 10
I've just checked my top SQL statements in OEM and drilling down on the top query of the list, I decided to run SQL Advisor on the query.
Low and behold, it came back with a profile that gives me a 99.9% improvement.
When I compared the original plan to the new plan the only difference is that the SQL Advisor is using a different index.
Now, the dumb DBA question: why? why is Oracle picking the wrong index?
original plan
SELECT STATEMENT
COUNT STOPKEY
VIEW
SORT ORDER BY STOPKEY
TABLE ACCESS BY INDEX ROWID ARADMIN.T2179 TABLE
INDEX RANGE SCAN ARADMIN.T2179_C3 INDEXnew plan...
SELECT STATEMENT
COUNT STOPKEY
VIEW
SORT ORDER BY STOPKEY
TABLE ACCESS BY INDEX ROWID ARADMIN.T2179 TABLE
INDEX RANGE SCAN ARADMIN.T2179_C536870923 INDEXThe stats:
table has approx. 3.3Mil rows
table segment is approx. 15G (5G of it is reclaimable space, but probably not related)
table has fresh stats and indexes have been recently rebuilt
indexes in this discussion are both b-tree
the C3 column is number(15) with 2836897 distinct rows
the C536870923 columns is VARCHAR2(255) with 1080533 distinct values
Here is the actual query:
SELECT *
FROM (
SELECT T2179.C1,C536871040,C536871037,C536870944,C3,C536870918,C536870919,
C536870924,C536871048,C536871049,C536871050,C536870926,C536870925,
C536870916,C4,C536871275,C536871095,C536870913
FROM T2179
WHERE ((T2179.C536870923 = :"SYS_B_0") AND (T2179.C3 > :"SYS_B_1")) ORDER BY C1 DESC )
WHERE ROWNUM <= :"SYS_B_2"Obviously this is a good example of why we should use profiles. :-)
Edited by: ji li on Feb 14, 2013 1:32 PM
Sorry... I should have included the plan output
I'm guessing this has something to do with the cardinality of the data in the columns.Dom.... I've already posted most everything. Here are the relevant init params and misc stuff you are asking for.
NAME TYPE VALUE
object_cache_optimal_size integer 102400
optimizer_capture_sql_plan_baselines boolean FALSE
optimizer_dynamic_sampling integer 2
optimizer_features_enable string 11.2.0.2
optimizer_index_caching integer 0
optimizer_index_cost_adj integer 100
optimizer_mode string ALL_ROWS
optimizer_secure_view_merging boolean TRUE
optimizer_use_invisible_indexes boolean FALSE
optimizer_use_pending_statistics boolean FALSE
optimizer_use_sql_plan_baselines boolean TRUE
plsql_optimize_level integer 2
db_file_multiblock_read_count integer 128
db_block_size integer 8192
cursor_sharing string FORCE
SNAME PNAME PVAL1 PVAL2
SYSSTATS_INFO STATUS COMPLETED
SYSSTATS_INFO DSTART 12-04-2012 12:28
SYSSTATS_INFO DSTOP 12-04-2012 15:28
SYSSTATS_INFO FLAGS 0
SYSSTATS_MAIN CPUSPEEDNW 2992.2746781116
SYSSTATS_MAIN IOSEEKTIM 10
SYSSTATS_MAIN IOTFRSPEED 4096
SYSSTATS_MAIN SREADTIM 48027.271
SYSSTATS_MAIN MREADTIM 37217.102
SYSSTATS_MAIN CPUSPEED 2978
SYSSTATS_MAIN MBRC 0
SYSSTATS_MAIN MAXTHR 400782336
SYSSTATS_MAIN SLAVETHR 1403904
13 rows selected.
QL> l
1 SELECT * FROM (
2 SELECT
3 T2179.C1,
4 C536871040,
5 C536871037,
6 C536870944,
7 C3,
8 C536870918,
9 C536870919,
10 C536870924,
11 C536871048,
12 C536871049,
13 C536871050,
14 C536870926,
15 C536870925,
16 C536870916,
17 C4,
18 C536871275,
19 C536871095,
20 C536870913
21 FROM aradmin.T2179
22 WHERE (
23 (C536870923 = '300885690')
24 AND
25 (C3 > '1360938353')
26 )
27 ORDER BY C1 DESC )
28* WHERE ROWNUM <= 1
no rows selected
Elapsed: 00:00:00.01
Execution Plan
Plan hash value: 2768254526
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1 | 2315 | 6 (17)| 00:00:01 |
|* 1 | COUNT STOPKEY | | | | | |
| 2 | VIEW | | 1 | 2315 | 6 (17)| 00:00:01 |
|* 3 | SORT ORDER BY STOPKEY | | 1 | 226 | 6 (17)| 00:00:01 |
|* 4 | TABLE ACCESS BY INDEX ROWID| T2179 | 1 | 226 | 5 (0)| 00:00:01 |
|* 5 | INDEX RANGE SCAN | T2179_C3 | 1 | | 3 (0)| 00:00:01 |
Predicate Information (identified by operation id):
1 - filter(ROWNUM<=1)
3 - filter(ROWNUM<=1)
4 - filter("C536870923"='300885690')
5 - access(SYS_OP_DESCEND("C3")<HEXTORAW('3AF1C2A1ABC9FF') )
filter(SYS_OP_UNDESCEND(SYS_OP_DESCEND("C3"))>1360938353)
Statistics
0 recursive calls
0 db block gets
2615 consistent gets
0 physical reads
0 redo size
1538 bytes sent via SQL*Net to client
513 bytes received via SQL*Net from client
1 SQL*Net roundtrips to/from client
1 sorts (memory)
0 sorts (disk)
0 rows processed -
Link between xla_distribution_links and ap_invoices_all
SELECT SUP.VENDOR_NAME,
API.INVOICE_NUM,
SUM (NVL (AEL.ACCOUNTED_DR, 0) - NVL (AEL.ACCOUNTED_CR, 0)) "BALANCE"
FROM xla.xla_ae_lines AEL,
xla.xla_ae_headers AEH,
(SELECT XDL.AE_HEADER_ID,
XDL.AE_LINE_NUM,
XDL.APPLIED_TO_SOURCE_ID_NUM_1,
XDL.ALLOC_TO_SOURCE_ID_NUM_1,
APSI.INVOICE_NUM "ALLOC_TO_INVOICE_NUM",
XDL.EVENT_CLASS_CODE
FROM APPS.XLA_DISTRIBUTION_LINKS XDL, AP.AP_INVOICES_ALL APSI
WHERE XDL.APPLICATION_ID = 200
AND XDL.EVENT_CLASS_CODE IN
('PREPAYMENTS', 'PREPAYMENT APPLICATIONS')
AND XDL.ROUNDING_CLASS_CODE = 'PREPAID_EXPENSE'
AND XDL.ALLOC_TO_SOURCE_ID_NUM_1 = APSI.INVOICE_ID
GROUP BY XDL.AE_HEADER_ID,
XDL.AE_LINE_NUM,
XDL.APPLIED_TO_SOURCE_ID_NUM_1,
XDL.ALLOC_TO_SOURCE_ID_NUM_1,
APSI.INVOICE_NUM,
XDL.EVENT_CLASS_CODE
) dl, --------------VERY IMPORTANT---------------
GL.GL_CODE_COMBINATIONS CC,
AP.AP_SUPPLIERS SUP,
AP.AP_INVOICES_ALL API
WHERE aeh.balance_type_code = 'A'
AND aeh.ae_header_id = ael.ae_header_id
---hh
AND aeh.ae_header_id = DL.ae_header_id
AND ael.ae_line_num = DL.ae_line_num
AND ael.ledger_id = 2022
AND ael.code_combination_id = CC.CODE_COMBINATION_ID
AND DL.APPLIED_TO_SOURCE_ID_NUM_1 = API.INVOICE_ID --------------VERY IMPORTANT-----------------
AND CC.SEGMENT1 = '131061'
AND AEL.PARTY_ID = SUP.VENDOR_ID
AND SUP.VENDOR_NAME = 'COMPANY_NAME'
AND TRUNC (AEH.ACCOUNTING_DATE) <= TO_DATE ('31-DEC-2012', 'DD-MON-YYYY')
GROUP BY API.INVOICE_NUM, SUP.VENDOR_NAME
HAVING SUM (NVL (AEL.ACCOUNTED_DR, 0) - NVL (AEL.ACCOUNTED_CR, 0)) <> 0
Pleaes explain the above query. The result is the prepayment balance grouped by Vendor_name and Invoice_num. What I don't understand is the use of the inline view DL. Why would you need it? I tried to rewrite the above task as following.
select inv.vendor_id, INV.INVOICE_NUM, sum(AEL.ACCOUNTED_DR) - sum(AEL.ACCOUNTED_CR) balance
from xla.xla_ae_lines ael,
xla.xla_ae_headers aeh,
XLA.XLA_DISTRIBUTION_LINKS xld,
AP.AP_INVOICES_ALL inv,
ap.ap_invoice_distributions_all dist,
AP.AP_SUPPLIERS sup
where ael.ae_header_id = aeh.ae_header_id AND
XLD.AE_HEADER_ID = aeh.ae_header_id AND
inv.invoice_id = dist.invoice_id AND
INV.vendor_id = SUP.VENDOR_ID AND
INV.VENDOR_ID = 407012 AND
AEL.APPLICATION_ID = 200 AND
INV.INVOICE_NUM = '30'
Group by inv.vendor_id, INV.INVOICE_NUM
I linked AP_INVOICES_ALL to XLA_DISTRIBUTION_LINKS with APPLIED_TO_SOURCE_ID_NUM_1. But in the first query I posted, XLA_DISTRIBUTION_LINKS and AP_INVOICES_ALL were joined twice - first in the inline view DL using ALLOC_TO_SOURCE_ID_NUM_1, then in the main query using APPLIED_TO_SOURCE_ID_NUM_1. Oracle ETRM says nothing about the usage of ALLOC_TO_SOURCE_ID_NUM_1. So I am totally confused. Any hints would be appreciatedIn the top query the detail level of information has been gathered from the sub query DL to make the query easy to understand but when one uses a sub query the performance takes a hit.
Thanks&Regards
[email protected] -
Stuck on few CSS issues mid-build
Hi all,
Spend the last week making some good progress with a website build, but I’ve hit a few stumbling blocks I hoped the CSS pros out there might be able to help with please!
<div id="body_container">
I’ve tried setting this div’s height to 100% so it expands accordingly (set to 800px right now), but when I do this it ‘disappears’ from view – i.e. the background colour vanishes and all its contents appear on a white background which is applied to the #body_container_fullwidth. Any ideas what I’m doing wrong?
<div id="left_content">
Why isn’t this expanding in height to accommodate the youtube video? It’s height is set to 100%.
<hr class="leftcontent1"></hr>
I’m seeing this in Dreamweaver but not in FF or IE preview. Any ideas?
<img class="rightbutton" src="Images/right_button.png" width="24" height="24" alt="More" />
I’ve put this image in the <div id="right_content_greystrip"> container but it’s appearing below and I can’t work out why?
Sorry it’s quite a few issues all at once – I’ve been over each time and time again but am thoroughly stuck!
Thanks in advance guys
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<!-- TemplateBeginEditable name="PageTitle" -->
<title></title>
<!-- TemplateEndEditable -->
<link href="CSS/style_sheet.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript">
var _gaq = _gaq || [];
_gaq.push(['_setAccount', 'UA-17957242-1']);
_gaq.push(['_trackPageview']);
(function() {
var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true;
ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js';
var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s);
</script>
</head>
<body>
<div id="logo_address_container_fullwidth">
<div id="logo_address_container">
<div id="logo_container"><a href="Templates/test.com"><img src="Images/thewharfhouse-logo.png" width="359" height="41" alt="The Wharf House" /></a></div>
<div id="address_container">
<p class="headeraddress">Over, Gloucester, GL2 8DB | 01452 332 900 | <a href="Templates/www.test.com">[email protected]</a></p>
</div>
</div>
</div>
<div id="nav_container_fullwidth">
<div id="nav_container">
<p class="nav"><a href="Templates/www.test.com">Home</a> • <a href="Templates/www.test.com">Restaurant</a> • <a href="Templates/www.test.com">Accommodation</a> • <a href="Templates/www.test.com">Online Shop</a> • <a href="Templates/www.test.com">News & Events</a> • <a href="Templates/www.test.com">Functions & Weddings</a> • <a href="Templates/www.test.com">Local Tourism</a> • <a href="Templates/www.test.com">Contact</a></p>
</div>
</div>
<div id="header_image_container_fullwidth">
<div id="header_image_container">
<!-- TemplateBeginEditable name="header-image" --><img src="Images/header-test.jpg" width="1100" height="350" alt="Header test" /><!-- TemplateEndEditable --></div>
</div>
<div id="body_container_fullwidth">
<div id="body_container">
<div id="body_container_left">
<div id="left_content">
<h1 class="leftcontent1">Welcome to The Wharf House</h1>
<hr class="leftcontent1"></hr>
<h2>Welcome to the award winning waterside Restaurant and Accommodation, situated in Over on the edge of the historic city of Gloucester.</h2>
<p>Welcome to The Wharf House Waterside Restaurant with Rooms, set in the perfect riverside location. Sample our culipxary delights, which have recently been awarded a highly acclaimed red rosette by the AA or enjoy a stay in our beautiful rooms awarded with 4 stars by the AA.</p>
<p>Each of our 6 bedrooms provide wonderful views of the River Severn, or our newly restored Canal Basin. All rooms are equipped with wide-screen TV’s, walk in WiFi, and private en suite facilities, some with whirl-pool baths.</p>
<p>All rooms include breakfast the following morning. Breakfast is served between 7.30am-9.30am Monday to Friday and 8.30am-9.45am Saturday and Sunday
(earlier if required at a supplement of £5 per room per half hour).</p>
<p>All profits made by The Wharf House are used for the promotion and restoration of the Herefordshire and Gloucestershire Canal Trust.</p>
</div>
<div id="left_content">
<h1 class="leftcontent2">The Wharf House video showcase</h1>
<div id="youtube">
<iframe width="380" height="214" src="http://www.youtube.com/embed/f8UT6QJIMfE" frameborder="0" allowfullscreen></iframe>
</div>
<p>Take a look inside The Wharf House restaurant and rooms in Over, near Gloucester, with naration from Natasha Turney at the restaurant.</p>
</div>
</div>
<div id="body_container_right">
<div id="right_content">
<h1 class="rightcontent">Book your stay</h1>
<img class="rightcontent" src="Images/right_content_test.png" width="120" height="90" alt="Test" />
<p>Check availability and book your stay in one of our luxurous individual rooms.</p>
<div id="right_content_greystrip">
<p class="right_content_greystrip"><a href="Templates/test.com">Check room availability</a></p>
<a href="Templates/test.com"><img class="rightbutton" src="Images/right_button.png" width="24" height="24" alt="More" /></a></div>
</div>
<div id="right_content">
<h1 class="rightcontent">Over Canal Festival 2012</h1>
<img class="rightcontent" src="Images/right_content_test.png" width="120" height="90" alt="Test" />
<p>Don’t miss the Over Canal Festival on Saturday 1 and Sunday 2 September 2012, featuring Prunella Scales and Timothy West, heritage boat processions, fun on the water, great food and drink, music and lots more!</p>
</div>
<div id="right_content">
<h1 class="rightcontent">Christmas 2012 menus available now</h1>
<img class="rightcontent" src="Images/right_content_test.png" width="120" height="90" alt="Test" />
<p>Turkey is banned for another year at The Wharf House, but instead you’ll find a tempting selection of courses sure to please even the pickiest eater in your party. Plus, a buffet menu is also available this festive season.</p>
</div>
</div>
</div>
</div>
<div id="top-footer_container_fullwidth">
<div id="top-footer_container">
<p class="footertop">The Wharf House, Over, Gloucester, GL2 8DB | 01452 332 900 |<a href="Templates/www.test.com"> [email protected]</a></p>
</div>
</div>
<div id="middle-footer_container_fullwidth">
<div id="middle-footer_container">
<div id="middle-footer_container_text">
<p class="footermiddle">Awards and accolades</p>
</div>
<div id="middle-footer_container_awardsaccolades_img"><img src="Images/aa-accommodation-logo.png" alt="AA 4 Star Guest Accommodation" width="63" height="100" class="awardsaccolades" /></div>
<div id="middle-footer_container_awardsaccolades_img"><img src="Images/aa-restaurant-logo.png" alt="AA Rosette Restaurant" width="64" height="100" class="awardsaccolades" /></div>
<div id="middle-footer_container_awardsaccolades_img"><img src="Images/green-tourism-silver-logo.png" alt="Silver Green Tourism" width="77" height="100" class="awardsaccolades" /></div>
<div id="middle-footer_container_text">
<p class="footermiddle">Social media links</p>
</div>
<div id="middle-footer_container_socialmedia_img"><a href="https://www.facebook.com/TheWharfHouse" target="_blank"><img src="Images/facebook-logo.png" alt="Facebook" width="109" height="41" class="socialmedia" /></a></div>
<div id="middle-footer_container_socialmedia_img"><a href="https://twitter.com/thewharfhouse" target="_blank"><img src="Images/twitter-logo.png" alt="Twitter" width="121" height="41" class="socialmedia" /></a></div>
</div>
</div>
<div id="bottom-footer_container_fullwidth">
<div id="bottom-footer_container">
<p class="footerbottom1"><a href="Templates/www.test.com">Home</a> • <a href="Templates/www.test.com">Restaurant</a> • <a href="Templates/www.test.com">Accommodation</a> • <a href="Templates/www.test.com">Online Shop</a> • <a href="Templates/www.test.com">News & Events</a> • <a href="Templates/www.test.com">Functions & Weddings</a> • <a href="Templates/www.test.com">Local Tourism</a> • <a href="Templates/www.test.com">Contact</a></p>
<p class="footerbottom2">All profits from The Wharf House will be used for the promotion and restoration of the Hereford and Gloucester Canal. © 2012.</p>
</div>
</div>
</body>
</html>
@charset "utf-8";
html {
min-height: 100%;
margin-bottom: 1px;
body {
background-color: #FFFFFF;
margin-left: 0px;
margin-right: 0px;
margin-top: 0px;
margin-right: 0px;
p {
font:Arial, Helvetica, sans-serif;
color: #666666;
font-size: 14px;
margin-bottom: 1.2em;
margin-top: 0em;
line-height: 1.4em;
text-align: left;
font-weight: normal;
margin-left: 15px;
margin-right: 15px;
p.headeraddress {
margin-bottom: 1.2em;
margin-top: 0em;
font:Georgia, "Times New Roman", Times, serif;
font-size: 15px;
text-align:left;
color: #666666;
p.nav {
margin-bottom: 1.2em;
margin-top: 0em;
font:Georgia, "Times New Roman", Times, serif;
font-size: 16px;
color: #FFF;
text-align:center;
p.nav a:link {
color: #FFF;
text-decoration: none;
p.nav a:visited {
text-decoration: none;
color: #FFF;
p.nav a:hover {
color: #FFF;
text-decoration: underline;
p.nav a:active {
color: #FFF;
text-decoration: underline;
p.footertop {
margin-bottom: 1.2em;
margin-top: 0em;
font:Georgia, "Times New Roman", Times, serif;
font-size: 15px;
text-align:center;
color: #666666;
p.footermiddle {
margin-bottom: 1.2em;
margin-top: 0em;
font:Georgia, "Times New Roman", Times, serif;
font-size: 12px;
font-style: italic;
text-align:right;
color: #666666;
img.awardsaccolades {
display: block;
margin-left: auto;
margin-right: auto;
img.socialmedia {
display: block;
margin-left: auto;
margin-right: auto;
p.footerbottom1 {
margin-bottom: 1.2em;
margin-top: 0em;
font:Georgia, "Times New Roman", Times, serif;
font-size: 15px;
text-align:center;
color: #666666;
p.footerbottom2 {
margin-bottom: 1.2em;
margin-top: 0em;
font:Georgia, "Times New Roman", Times, serif;
font-size: 12px;
font-style: italic;
text-align:center;
color: #666666;
img {
border: 0px;
h1.leftcontent1 {
font:Georgia, "Times New Roman", Times, serif;
font-size: 24px;
color: #840000;
margin-left: 15px;
margin-right: 15px;
margin-bottom: 0px;
font-weight:400;
h1.leftcontent2 {
font:Georgia, "Times New Roman", Times, serif;
font-size: 20px;
color: #666666;
margin-left: 15px;
margin-right: 15px;
margin-bottom: 10px;
font-weight:400;
h1.rightcontent {
font:Georgia, "Times New Roman", Times, serif;
font-size: 20px;
color: #666666;
margin-left: 15px;
margin-right: 15px;
margin-bottom: 10px;
font-weight:400;
img.rightcontent {
float:left;
margin-left: 15px;
margin-right: 12px;
#youtube {
float:left;
margin-left: 15px;
margin-right: 12px;
hr.leftcontent1 {
border: 1px;
width: 520px;
color: #840000;
height: 1px;
margin-left: 15px;
margin-top: 6px;
h2 {
font:Georgia, "Times New Roman", Times, serif;
font-size: 16px;
font-style:italic;
color: #666666;
margin-top: 0px;
margin-left: 15px;
margin-right: 15px;
margin-bottom: 15px;
font-weight:400;
a:link {
color: #840000;
text-decoration: none;
a:visited {
text-decoration: none;
color: #840000;
a:hover {
color: #840000;
text-decoration: underline;
a:active {
color: #666666;
text-decoration: underline;
#logo_address_container_fullwidth {
width: 100%;
height: 100%;
float:left;
background-color:#F1EACE;
margin: auto;
padding-top: 35px;
#logo_address_container {
width: 960px;
height: 74px;
background-color:#F1EACE;
margin-left: auto;
margin-right: auto;
padding: 0px;
#logo_container {
width: 359px;
height: 41px;
float:left;
padding-left: 20px;
#address_container {
width: 561px;
height: 20px;
float:left;
padding-left: 20px;
margin-top: 14px;
#nav_container_fullwidth {
width: 100%;
float:left;
background-color:#840000;
margin: auto;
padding: 0px;
#nav_container {
width: 960px;
height: 30px;
background-color:#840000;
margin-left: auto;
margin-right: auto;
padding-top: 6px;
#header_image_container_fullwidth {
width: 100%;
height: 350px;
float:left;
background-color:#F1EACE;
margin: auto;
padding: 0px;
#header_image_container {
width: 1100px;
height: 100%;
background-color:#F1EACE;
margin-left: auto;
margin-right: auto;
padding: 0px;
#body_container_fullwidth {
width: 100%;
height: 100%;
float:left;
background-color: #FFF;
margin: auto;
padding: 0px;
#body_container {
width: 960px;
height: 800px;
background-color:#F1EACE;
margin-left: auto;
margin-right: auto;
padding: 0px;
margin-top: 20px;
margin-bottom: 0px;
#body_container_left {
width: 580px;
background-color:#F1EACE;
float:left;
margin-left: 30px;
margin-top: 30px;
#body_container_right {
width: 290px;
background-color:#F1EACE;
float:right;
margin-left: 30px;
margin-right: 30px;
margin-top: 30px;
#left_content {
width: 580px;
height: 100%;
background-color:#FFF;
box-shadow: 3px 3px 5px #999;
padding-top: 1px;
padding-bottom: 8px;
margin-bottom: 30px;
#right_content {
width: 290px;
height: 100%;
background-color:#FFF;
box-shadow: 3px 3px 5px #999;
padding-top: 1px;
padding-bottom: 10px;
margin-bottom: 30px;
#right_content_greystrip {
width: 290px;
height: 24px;
background-color:#DFDFDF;
float:left;
img.rightbutton {
float:right;
p.right_content_greystrip {
margin-bottom: 1.2em;
margin-top: 0em;
font-family: Arial, Helvetica, sans-serif;
font-size: 14px;
text-align:right;
padding-top: 1px;
margin-right: 5px;
p.right_content_greystrip a:link {
color: #840000;
text-decoration: none;
p.right_content_greystrip a:visited {
text-decoration: none;
color: #840000;
p.right_content_greystrip a:hover {
color: #840000;
text-decoration: underline;
p.right_content_greystrip a:active {
color: #840000;
text-decoration: underline;
#top-footer_container_fullwidth {
width: 100%;
height: 100%;
float:left;
background-color: #E6D69C;
margin: auto;
padding: 0px;
font:Georgia, "Times New Roman", Times, serif;
padding-top: 20px;
#top-footer_container {
width: 960px;
height: 100%;
background-color:#E6D69C;
margin-left: auto;
margin-right: auto;
padding: 0px;
#middle-footer_container_fullwidth {
width: 100%;
height: 100%;
float:left;
background-color: #F1EACE;
margin: auto;
padding: 0px;
border-top: 1px solid #840000;
border-bottom: 1px solid #840000;
font:Georgia, "Times New Roman", Times, serif;
#middle-footer_container {
width: 960px;
height: 140px;
background-color:#F1EACE;
margin-left: auto;
margin-right: auto;
padding: 0px;
#middle-footer_container_text {
width: 160px;
height: 40px;
margin-left: auto;
margin-right: auto;
float: left;
padding-top: 60px;
#middle-footer_container_awardsaccolades_img {
width: 100px;
height: 100px;
margin-left: auto;
margin-right: auto;
float: left;
padding-top: 20px;
#middle-footer_container_socialmedia_img {
width: 130px;
height: 50px;
margin-left: auto;
margin-right: auto;
float: left;
padding-top: 48px;
#bottom-footer_container_fullwidth {
width: 100%;
height: 100%;
float:left;
background-color: #E6D69C;
margin: auto;
padding: 0px;
font:Georgia, "Times New Roman", Times, serif;
#bottom-footer_container {
width: 960px;
height: 75px;
background-color:#E6D69C;
margin-left: auto;
margin-right: auto;
padding-top: 20px;Hi osgood_,
Thanks so much for your generous help - this was hugely useful and much appreciated. I also managed to fix my top query via your overflow: hidden; suggestion too.
Everything's looking great with the exception of my little ../Images/right_button.png image which isn't showing up for some reason - I ideally want it to be flush over on the right of that greystrip - any ideas?
Thanks again
<div id="body_container_right">
<div id="right_content">
<h1 class="rightcontent">Book your stay</h1>
<img class="rightcontent" src="../Images/right_content_test.png" width="120" height="90" alt="Test" />
<p>Check availability and book your stay in one of our luxurous individual rooms.</p>
<div id="right_content_greystrip">
<p class="right_content_greystrip"><a href="../Images/right_button.png"><span>Check room availability</span><img src="Images/right_button.png" width="24" height="24" alt="More" /></a></p>
</div>
</div>
<div id="right_content">
<h1 class="rightcontent">Over Canal Festival 2012</h1>
<img class="rightcontent" src="../Images/right_content_test.png" width="120" height="90" alt="Test" />
<p>Don’t miss the Over Canal Festival on Saturday 1 and Sunday 2 September 2012, featuring Prunella Scales and Timothy West, heritage boat processions, fun on the water, great food and drink, music and lots more!</p>
</div>
<div id="right_content">
<h1 class="rightcontent">Christmas 2012 menus available now</h1>
<img class="rightcontent" src="../Images/right_content_test.png" width="120" height="90" alt="Test" />
<p>Turkey is banned for another year at The Wharf House, but instead you’ll find a tempting selection of courses sure to please even the pickiest eater in your party. Plus, a buffet menu is also available this festive season.</p>
</div>
</div>
@charset "utf-8";
html {
min-height: 100%;
margin-bottom: 1px;
body {
background-color: #FFFFFF;
margin-left: 0px;
margin-right: 0px;
margin-top: 0px;
margin-right: 0px;
p {
font:Arial, Helvetica, sans-serif;
color: #666666;
font-size: 14px;
margin-bottom: 1.2em;
margin-top: 0em;
line-height: 1.4em;
text-align: left;
font-weight: normal;
margin-left: 15px;
margin-right: 15px;
p.headeraddress {
margin-bottom: 1.2em;
margin-top: 0em;
font:Georgia, "Times New Roman", Times, serif;
font-size: 15px;
text-align:left;
color: #666666;
p.nav {
margin-bottom: 1.2em;
margin-top: 0em;
font:Georgia, "Times New Roman", Times, serif;
font-size: 16px;
color: #FFF;
text-align:center;
p.nav a:link {
color: #FFF;
text-decoration: none;
p.nav a:visited {
text-decoration: none;
color: #FFF;
p.nav a:hover {
color: #FFF;
text-decoration: underline;
p.nav a:active {
color: #FFF;
text-decoration: underline;
p.footertop {
margin-bottom: 1.2em;
margin-top: 0em;
font:Georgia, "Times New Roman", Times, serif;
font-size: 15px;
text-align:center;
color: #666666;
p.footermiddle {
margin-bottom: 1.2em;
margin-top: 0em;
font:Georgia, "Times New Roman", Times, serif;
font-size: 12px;
font-style: italic;
text-align:right;
color: #666666;
img.awardsaccolades {
display: block;
margin-left: auto;
margin-right: auto;
img.socialmedia {
display: block;
margin-left: auto;
margin-right: auto;
p.footerbottom1 {
margin-bottom: 1.2em;
margin-top: 0em;
font:Georgia, "Times New Roman", Times, serif;
font-size: 15px;
text-align:center;
color: #666666;
p.footerbottom2 {
margin-bottom: 1.2em;
margin-top: 0em;
font:Georgia, "Times New Roman", Times, serif;
font-size: 12px;
font-style: italic;
text-align:center;
color: #666666;
img {
border: 0px;
h1.leftcontent1 {
font:Georgia, "Times New Roman", Times, serif;
font-size: 24px;
color: #840000;
margin-left: 15px;
margin-right: 15px;
margin-bottom: 0px;
font-weight:400;
h1.leftcontent2 {
font:Georgia, "Times New Roman", Times, serif;
font-size: 20px;
color: #666666;
margin-left: 15px;
margin-right: 15px;
margin-bottom: 10px;
font-weight:400;
h1.rightcontent {
font:Georgia, "Times New Roman", Times, serif;
font-size: 20px;
color: #666666;
margin-left: 15px;
margin-right: 15px;
margin-bottom: 10px;
font-weight:400;
img.rightcontent {
float:left;
margin-left: 15px;
margin-right: 12px;
#youtube {
float:left;
margin-left: 15px;
margin-right: 12px;
hr.leftcontent1 {
border: solid 1px;
width: 520px;
color: #840000;
height: 1px;
margin-left: 15px;
margin-top: 6px;
h2 {
font:Georgia, "Times New Roman", Times, serif;
font-size: 16px;
font-style:italic;
color: #666666;
margin-top: 0px;
margin-left: 15px;
margin-right: 15px;
margin-bottom: 15px;
font-weight:400;
a:link {
color: #840000;
text-decoration: none;
a:visited {
text-decoration: none;
color: #840000;
a:hover {
color: #840000;
text-decoration: underline;
a:active {
color: #666666;
text-decoration: underline;
#logo_address_container_fullwidth {
width: 100%;
height: 100%;
float:left;
background-color:#F1EACE;
margin: auto;
padding-top: 35px;
#logo_address_container {
width: 960px;
height: 74px;
background-color:#F1EACE;
margin-left: auto;
margin-right: auto;
padding: 0px;
#logo_container {
width: 359px;
height: 41px;
float:left;
padding-left: 20px;
#address_container {
width: 561px;
height: 20px;
float:left;
padding-left: 20px;
margin-top: 14px;
#nav_container_fullwidth {
width: 100%;
float:left;
background-color:#840000;
margin: auto;
padding: 0px;
#nav_container {
width: 960px;
height: 30px;
background-color:#840000;
margin-left: auto;
margin-right: auto;
padding-top: 6px;
#header_image_container_fullwidth {
width: 100%;
height: 350px;
float:left;
background-color:#F1EACE;
margin: auto;
padding: 0px;
#header_image_container {
width: 1100px;
height: 100%;
background-color:#F1EACE;
margin-left: auto;
margin-right: auto;
padding: 0px;
#body_container_fullwidth {
width: 100%;
height: 100%;
float:left;
background-color: #FFF;
margin: auto;
padding: 0px;
#body_container {
width: 960px;
overflow: hidden;
background-color:#F1EACE;
margin-left: auto;
margin-right: auto;
padding: 0px;
margin-top: 20px;
margin-bottom: 0px;
#body_container_left {
width: 580px;
background-color:#F1EACE;
float:left;
margin-left: 30px;
margin-top: 30px;
#body_container_right {
width: 290px;
background-color:#F1EACE;
float:right;
margin-left: 30px;
margin-right: 30px;
margin-top: 30px;
#left_content {
width: 580px;
overflow: hidden;
background-color:#FFF;
box-shadow: 3px 3px 5px #999;
padding-top: 1px;
padding-bottom: 8px;
margin-bottom: 30px;
#right_content {
width: 290px;
height: 100%;
background-color:#FFF;
box-shadow: 3px 3px 5px #999;
padding-top: 1px;
padding-bottom: 10px;
margin-bottom: 30px;
#right_content_greystrip {
width: 290px;
background-color:#DFDFDF;
float: left;
#right_content_greystrip span {
float: left;
width: 230px;
display: block;
padding: 3px 0 0 0;
#right_content_greystrip img {
float: right;
p.right_content_greystrip {
margin-bottom: 1.2em;
margin-top: 0em;
font-family: Arial, Helvetica, sans-serif;
font-size: 14px;
text-align:right;
padding-top: 1px;
margin-right: 5px;
p.right_content_greystrip a:link {
color: #840000;
text-decoration: none;
p.right_content_greystrip a:visited {
text-decoration: none;
color: #840000;
p.right_content_greystrip a:hover {
color: #840000;
text-decoration: underline;
p.right_content_greystrip a:active {
color: #840000;
text-decoration: underline;
#top-footer_container_fullwidth {
width: 100%;
height: 100%;
float:left;
background-color: #E6D69C;
margin: auto;
padding: 0px;
font:Georgia, "Times New Roman", Times, serif;
padding-top: 20px;
#top-footer_container {
width: 960px;
height: 100%;
background-color:#E6D69C;
margin-left: auto;
margin-right: auto;
padding: 0px;
#middle-footer_container_fullwidth {
width: 100%;
height: 100%;
float:left;
background-color: #F1EACE;
margin: auto;
padding: 0px;
border-top: 1px solid #840000;
border-bottom: 1px solid #840000;
font:Georgia, "Times New Roman", Times, serif;
#middle-footer_container {
width: 960px;
height: 140px;
background-color:#F1EACE;
margin-left: auto;
margin-right: auto;
padding: 0px;
#middle-footer_container_text {
width: 160px;
height: 40px;
margin-left: auto;
margin-right: auto;
float: left;
padding-top: 60px;
#middle-footer_container_awardsaccolades_img {
width: 100px;
height: 100px;
margin-left: auto;
margin-right: auto;
float: left;
padding-top: 20px;
#middle-footer_container_socialmedia_img {
width: 130px;
height: 50px;
margin-left: auto;
margin-right: auto;
float: left;
padding-top: 48px;
#bottom-footer_container_fullwidth {
width: 100%;
height: 100%;
float:left;
background-color: #E6D69C;
margin: auto;
padding: 0px;
font:Georgia, "Times New Roman", Times, serif;
#bottom-footer_container {
width: 960px;
height: 75px;
background-color:#E6D69C;
margin-left: auto;
margin-right: auto;
padding-top: 20px; -
GRC 10.0 - Insert a new field on the RISK/OPPORTUNITY
Hello All,
I have an activity to enhance the component below, to insert a new field on there.
The problem is that I don't know how to make it integrated with the save activity.
Embebbed with this component, I have the componet parent grrm_wd_rnp as shown below:
This component is called by the component POWL_UI_COMP. This screen below shows how this initial screen looks like:
Anybody knows how to implement this? It's confusing working with too many standard components conecting each other.
Regards,
RicardoHeinz,
You may investigate logic using UNIONs and a manual tabular form.
Something like:
--get all records above new row
select apex_item... column1
,apex_item... column2
from yourtable
where <logic to limit rows above new record>
union
--get the new row
select apex_item... column1
,apex_item... column2
from dual
where :REQUEST = 'ADDROW'
union
--get every row not in the top query
select apex_item... column1
,apex_item... column2
from yourtable
where <logic to pull all records not pulled above new record>
For this to work you'll need to add your own "Add Row" button and associate it with a branch. Notice the select between the two unions in the above query is a select against dual. This will be your new record when pressing your "Add Row" button (:REQUEST = 'ADDROW').
The following how-to link is a reference for some of the logic you'll need when creating a manual tabular form.
http://www.oracle.com/technology/products/database/application_express/howtos/tabular_form.html#MANUAL
Good Luck,
Todd -
Pivot not working; Analytics question
I got a lot done this past weekend on tough query for me but now have more questions. You must run the top query to understand the understand the second.
Background:
This is a period to date report which includes amounts from beginning of the year as well as last year.
My example Report is for Period 9 which begins on Aug 24, 2009
Period has 5 weeks (Most periods have 4) ;
Also if period is requested in Week 3 then only weeks 1 and 2 will be reflected on report
The report looks like this: (Data provided should produce these numbers except for maybe the YTD column.
WEEK1 WEEK2 WEEK3 WEEK4 WEEK5 Period-to-date Year-to-date
Net - Landau 11,485.79 11,416.60 11,609.01 11,049.76 12,867.10 58,428.00 454,231.37
Net - AW 0.00 0.00 0.00 0.00 0.00 0.00 0.00
Net - LJS 0.00 0.00 0.00 0.00 0.00 0.00 0.00
Net - TB 7,118.17 7,228.13 7,657.94 7,699.53 7,958.53 37,662.00 306,115.59
Total Net 18,603.96 18,644.73 19,266.95 18,749.29 20,825.63 96,091.00 760,346.96
Last Year Sales 23,515.95 24,244.37 23,962.74 23,134.79 24,440.87 119,299.00 856,363.36
Increase (4,911.99) (5,599.64) (4,695.79) (4,385.50) (3,615.24) (23,208.00) (96,016.40)
Last year
Next Week 24,244.37 23,962.74 23,134.79 24,440.87 23,055.87 118,839.00 879,419.23 --===== Current Year Dates
Beginning of period: (BOP) Mon Aug 24
Week 1: Mon Aug 24 - Aug 30
Week 2: Mon Aug 11 - Sept 6
Week 3: Mon Sep 7 - Sept 13
Week 4: Mon Sept 14 - Sept 20
Week 5: Mon Sept 21 - Sept 27
Beginning of fiscal year( BOY) = '28-Dec-08'
--===== Last Year Dates
Beginning of period: (BOP_LY) Mon Aug 25
Week 1: Mon Aug 25 - Aug 31
Week 2: Mon Aug 1 - Sept 7
Week 3: Mon Sep 8 - Sept 14
Week 4: Mon Sept 15 - Sept 21
Week 5: Mon Sept 22 - Sept 28
Beginning of fiscal year( BOY) = '31-Dec-07'
My challenge over weekend was to get entire year of data vs. just the period data.
There are 7 columns on this report. 5 weeks of period, PeriodToDate (total of the weeks) and YearToDate (PeriodToDate + Sum of all data from beginning of year to the end of the previous period.
I'm not really concerned with the PTD, the program can handle that. I got the BOY date with the following code:
All data is summed for the week and grouped by storeid and TRUNC(date, 'IW') which is the Monday of each week.
of each week. (The resultset contains data for 2 stores instead of 1. This is there only to make sure my query was filtering correctly)
drop table my_csh_main;
CREATE TABLE MY_CSH_MAIN
( "FK_STR_MAIN_ID" NUMBER,
"BUSI_DATE" DATE,
"CONF_NUMB2" NUMBER,
"CONF_NUMB49" NUMBER,
"CONF_NUMB44" NUMBER,
"CONF_NUMB3" NUMBER,
"CONF_NUMB4" NUMBER,
"CONF_NUMB38" NUMBER,
"CONF_NUMB56" NUMBER
REM INSERTING into MY_CSH_MAIN
Insert into MY_CSH_MAIN (FK_STR_MAIN_ID,BUSI_DATE,CONF_NUMB2,CONF_NUMB49,CONF_NUMB44,CONF_NUMB3,CONF_NUMB4,CONF_NUMB38,CONF_NUMB56) values (141,to_date('28-AUG-08','DD-MON-RR'),22103.69,0,0,119,0,4605.21,0);
Insert into MY_CSH_MAIN (FK_STR_MAIN_ID,BUSI_DATE,CONF_NUMB2,CONF_NUMB49,CONF_NUMB44,CONF_NUMB3,CONF_NUMB4,CONF_NUMB38,CONF_NUMB56) values (141,to_date('27-AUG-09','DD-MON-RR'),18081.37,0,0,0,0,3533.45,0);
Insert into MY_CSH_MAIN (FK_STR_MAIN_ID,BUSI_DATE,CONF_NUMB2,CONF_NUMB49,CONF_NUMB44,CONF_NUMB3,CONF_NUMB4,CONF_NUMB38,CONF_NUMB56) values (141,to_date('17-SEP-09','DD-MON-RR'),18211.29,0,0,0,0,3806.32,0);
Insert into MY_CSH_MAIN (FK_STR_MAIN_ID,BUSI_DATE,CONF_NUMB2,CONF_NUMB49,CONF_NUMB44,CONF_NUMB3,CONF_NUMB4,CONF_NUMB38,CONF_NUMB56) values (221,to_date('04-SEP-08','DD-MON-RR'),24244.37,0,0,284.94,0,0,9395.63);
Insert into MY_CSH_MAIN (FK_STR_MAIN_ID,BUSI_DATE,CONF_NUMB2,CONF_NUMB49,CONF_NUMB44,CONF_NUMB3,CONF_NUMB4,CONF_NUMB38,CONF_NUMB56) values (221,to_date('03-SEP-09','DD-MON-RR'),18644.73,0,0,85.48,0,0,7228.13);
Insert into MY_CSH_MAIN (FK_STR_MAIN_ID,BUSI_DATE,CONF_NUMB2,CONF_NUMB49,CONF_NUMB44,CONF_NUMB3,CONF_NUMB4,CONF_NUMB38,CONF_NUMB56) values (141,to_date('24-SEP-09','DD-MON-RR'),16809.21,0,0,64.99,0,3014.61,0);
Insert into MY_CSH_MAIN (FK_STR_MAIN_ID,BUSI_DATE,CONF_NUMB2,CONF_NUMB49,CONF_NUMB44,CONF_NUMB3,CONF_NUMB4,CONF_NUMB38,CONF_NUMB56) values (221,to_date('25-SEP-08','DD-MON-RR'),24440.87,0,0,0,0,0,9469.64);
Insert into MY_CSH_MAIN (FK_STR_MAIN_ID,BUSI_DATE,CONF_NUMB2,CONF_NUMB49,CONF_NUMB44,CONF_NUMB3,CONF_NUMB4,CONF_NUMB38,CONF_NUMB56) values (221,to_date('28-AUG-08','DD-MON-RR'),23515.95,0,0,0,80.38,0,9379.9);
Insert into MY_CSH_MAIN (FK_STR_MAIN_ID,BUSI_DATE,CONF_NUMB2,CONF_NUMB49,CONF_NUMB44,CONF_NUMB3,CONF_NUMB4,CONF_NUMB38,CONF_NUMB56) values (221,to_date('24-SEP-09','DD-MON-RR'),20825.63,0,0,73.97,0,0,7958.53);
Insert into MY_CSH_MAIN (FK_STR_MAIN_ID,BUSI_DATE,CONF_NUMB2,CONF_NUMB49,CONF_NUMB44,CONF_NUMB3,CONF_NUMB4,CONF_NUMB38,CONF_NUMB56) values (221,to_date('17-SEP-09','DD-MON-RR'),18749.29,0,0,0,0,0,7699.53);
Insert into MY_CSH_MAIN (FK_STR_MAIN_ID,BUSI_DATE,CONF_NUMB2,CONF_NUMB49,CONF_NUMB44,CONF_NUMB3,CONF_NUMB4,CONF_NUMB38,CONF_NUMB56) values (141,to_date('11-SEP-08','DD-MON-RR'),22839.3,0,0,206.39,116.74,4493.28,0);
Insert into MY_CSH_MAIN (FK_STR_MAIN_ID,BUSI_DATE,CONF_NUMB2,CONF_NUMB49,CONF_NUMB44,CONF_NUMB3,CONF_NUMB4,CONF_NUMB38,CONF_NUMB56) values (141,to_date('04-SEP-08','DD-MON-RR'),22627.74,0,0,279.98,0,4423.83,0);
Insert into MY_CSH_MAIN (FK_STR_MAIN_ID,BUSI_DATE,CONF_NUMB2,CONF_NUMB49,CONF_NUMB44,CONF_NUMB3,CONF_NUMB4,CONF_NUMB38,CONF_NUMB56) values (221,to_date('27-AUG-09','DD-MON-RR'),18603.96,0,0,81.25,0,0,7118.17);
Insert into MY_CSH_MAIN (FK_STR_MAIN_ID,BUSI_DATE,CONF_NUMB2,CONF_NUMB49,CONF_NUMB44,CONF_NUMB3,CONF_NUMB4,CONF_NUMB38,CONF_NUMB56) values (221,to_date('11-SEP-08','DD-MON-RR'),23962.74,0,0,153.1,0,0,9335.35);
Insert into MY_CSH_MAIN (FK_STR_MAIN_ID,BUSI_DATE,CONF_NUMB2,CONF_NUMB49,CONF_NUMB44,CONF_NUMB3,CONF_NUMB4,CONF_NUMB38,CONF_NUMB56) values (221,to_date('18-SEP-08','DD-MON-RR'),23134.79,0,0,44.12,0,0,8978.87);
Insert into MY_CSH_MAIN (FK_STR_MAIN_ID,BUSI_DATE,CONF_NUMB2,CONF_NUMB49,CONF_NUMB44,CONF_NUMB3,CONF_NUMB4,CONF_NUMB38,CONF_NUMB56) values (141,to_date('25-SEP-08','DD-MON-RR'),24950.45,0,0,129.98,0,5330.22,0);
Insert into MY_CSH_MAIN (FK_STR_MAIN_ID,BUSI_DATE,CONF_NUMB2,CONF_NUMB49,CONF_NUMB44,CONF_NUMB3,CONF_NUMB4,CONF_NUMB38,CONF_NUMB56) values (221,to_date('10-SEP-09','DD-MON-RR'),19266.95,0,0,0,0,0,7657.94);
Insert into MY_CSH_MAIN (FK_STR_MAIN_ID,BUSI_DATE,CONF_NUMB2,CONF_NUMB49,CONF_NUMB44,CONF_NUMB3,CONF_NUMB4,CONF_NUMB38,CONF_NUMB56) values (141,to_date('03-SEP-09','DD-MON-RR'),17183.25,0,0,0,0,3487.12,0);
Insert into MY_CSH_MAIN (FK_STR_MAIN_ID,BUSI_DATE,CONF_NUMB2,CONF_NUMB49,CONF_NUMB44,CONF_NUMB3,CONF_NUMB4,CONF_NUMB38,CONF_NUMB56) values (141,to_date('18-SEP-08','DD-MON-RR'),21372.82,0,0,0,0,4546.15,0);
Insert into MY_CSH_MAIN (FK_STR_MAIN_ID,BUSI_DATE,CONF_NUMB2,CONF_NUMB49,CONF_NUMB44,CONF_NUMB3,CONF_NUMB4,CONF_NUMB38,CONF_NUMB56) values (141,to_date('10-SEP-09','DD-MON-RR'),17688.41,0,0,113.12,0,3424.17,0);
Insert into MY_CSH_MAIN (FK_STR_MAIN_ID,BUSI_DATE,CONF_NUMB2,CONF_NUMB49,CONF_NUMB44,CONF_NUMB3,CONF_NUMB4,CONF_NUMB38,CONF_NUMB56) values (141,to_date('31-DEC-08','DD-MON-RR'),611016.24,0,0,1276.62,724.96,122236.02,0);
Insert into MY_CSH_MAIN (FK_STR_MAIN_ID,BUSI_DATE,CONF_NUMB2,CONF_NUMB49,CONF_NUMB44,CONF_NUMB3,CONF_NUMB4,CONF_NUMB38,CONF_NUMB56) values (221,to_date('31-DEC-08','DD-MON-RR'),667612.63,0,0,1018.81,0,0,269777.87);
Insert into MY_CSH_MAIN (FK_STR_MAIN_ID,BUSI_DATE,CONF_NUMB2,CONF_NUMB49,CONF_NUMB44,CONF_NUMB3,CONF_NUMB4,CONF_NUMB38,CONF_NUMB56) values (141,to_date('02-JAN-08','DD-MON-RR'),1676737.13,0,0,5652.47,3850.68,345971.1,500.5);
Insert into MY_CSH_MAIN (FK_STR_MAIN_ID,BUSI_DATE,CONF_NUMB2,CONF_NUMB49,CONF_NUMB44,CONF_NUMB3,CONF_NUMB4,CONF_NUMB38,CONF_NUMB56) values (221,to_date('02-JAN-08','DD-MON-RR'),1786451.11,0,0,3167.61,175.38,0,788438.73);
CREATE TABLE LANDAU_REPORT_STORES
( "COMPANYNAME" CHAR(40 BYTE),
"DISTRICTNAME" VARCHAR2(50 BYTE),
"STOREID" NUMBER(4,0) NOT NULL ENABLE,
"STORENAME" VARCHAR2(70 BYTE),
"STORENBR" CHAR(4 BYTE) NOT NULL ENABLE
REM INSERTING into LANDAU_REPORT_STORES
Insert into LANDAU_REPORT_STORES (COMPANYNAME,DISTRICTNAME,STOREID,STORENAME,STORENBR) values ('Landau ','DIST 10',64,'N_Main','0004');
Insert into LANDAU_REPORT_STORES(COMPANYNAME,DISTRICTNAME,STOREID,STORENAME,STORENBR) values ('Landau ','DIST 10',65,'Belvidere','0005');
Insert into LANDAU_REPORT_STORES(COMPANYNAME,DISTRICTNAME,STOREID,STORENAME,STORENBR) values ('Landau ','DIST 10',104,'Mulford','0032');
Insert into LANDAU_REPORT_STORES(COMPANYNAME,DISTRICTNAME,STOREID,STORENAME,STORENBR) values ('Landau ','DIST 50',141,'Charleston','0043');
Insert into LANDAU_REPORT_STORES(COMPANYNAME,DISTRICTNAME,STOREID,STORENAME,STORENBR) values ('Landau ','DIST 10',61,'Kilburn','0002');
Insert into LANDAU_REPORT_STORES(COMPANYNAME,DISTRICTNAME,STOREID,STORENAME,STORENBR) values ('Landau ','DIST 10',62,'11th_St','0003');
with WeeklyTotals as
( select StoreId
, week_date
, net_sales
, ljs_food_sales
, total_drink_sales
, net_food
, CASE
WHEN net_food is null then 0
WHEN net_food = 0 then 0
ELSE Ljs_food_sales / net_food
END as LJS_Percent
, CASE
WHEN net_food is null then 0
WHEN net_food = 0 then 0
else total_drink_sales * (ljs_food_sales / net_food)
END as LJS_Drinks
, aw_sales
, tb_sales
FROM (Select fk_str_main_id as StoreId,
trunc(csh.busi_date, 'IW') as week_date,
sum(csh.conf_numb2) As net_sales,
sum(conf_numb49) as ljs_food_sales,
sum(conf_numb44) As total_drink_sales,
sum(csh.conf_numb2) - sum(CONF_NUMB44) - sum(conf_numb3) - sum(conf_numb4) AS net_food,
sum(conf_numb38) As aw_sales,
sum(conf_numb56) as tb_sales
from my_csh_main csh
WHERE BUSI_DATE BETWEEN TO_DATE( '28-Dec-08' ,'DD-MON-YY') AND TO_DATE( '27-SEP-09' ,'DD-MON-YY')
and fk_str_main_id in (141, 221)
GROUP BY CSH.FK_STR_MAIN_ID, trunc(csh.busi_date, 'IW')
, WeeklyFoodSalesLY as
SELECT fk_str_main_id AS storeid
, TRUNC(busi_date, 'iw') week_date
, SUM(csh.conf_numb2) AS net_sales
FROM my_csh_main csh
WHERE busi_date BETWEEN to_date('31-DEc-07', 'dd-Mon-yy') and to_date('28-Sep-08', 'dd-Mon-yy')
GROUP BY fk_str_main_id, TRUNC(busi_date, 'iw')
, StoreDetails AS
select * from LANDAU_REPORT_STORES where STORENAME NOT like '%CLOSED%' order by DistrictNAme, StoreNbr
Select
foods.storeid
, CASE
WHEN to_date(Foods.week_date, 'dd-Mon-yy') = to_date('24-AUG-09', 'dd-Mon-yy') then 1
WHEN to_date(Foods.week_date, 'dd-Mon-yy') = to_date('24-AUG-09', 'dd-Mon-yy') + 7 then 2
WHEN to_date(Foods.week_date, 'dd-Mon-yy') = to_date('24-AUG-09', 'dd-Mon-yy') + 14 then 3
WHEN to_date(Foods.week_date, 'dd-Mon-yy') = to_date('24-AUG-09','dd-Mon-yy') + 21 then 4
WHEN to_date(Foods.week_date, 'dd-Mon-yy') = to_date('24-AUG-09', 'dd-Mon-yy') + 28 then 5
ELSE 0
end as WeekNBr
, foods.week_date as CurrWeekDate
, foodsLY.week_date as LastYearWEekDate
, ROUND(NVL(foods.net_sales - (aw_sales + tb_sales + ljs_drinks + ljs_food_sales ), 0), 2) as Landau_Net_Sales
, ROUND(NVL(aw_sales, 0), 2) as aw_sales
, ROUND(NVL(tb_sales, 0), 2) as tb_sales
, ROUND(NVL(ljs_drinks + ljs_food_sales, 0),2) as ljs_net_sales
, ROUND(NVL(foods.Net_Sales, 0), 2) as net_sales
--==
-- Last Year Sales and Last Year Next Year Sales
--==
, ROUND(NVL(foodsLY.Net_Sales, 0),2) as WTDLYNetSales
, ROUND(NVL(Foods.Net_Sales - FoodsLY.Net_Sales, 0),2) as WTDSalesIncrease
-- , ROUND(NVL(FoodsLY_NextWeek.Net_Sales, 0), 2) as WTDFoodsSalesLY
, stores.*
from WEeklyTotals Foods
LEFT OUTER JOIN Weeklyfoodsalesly foodsly ON foodsly.storeid = foods.storeid
AND foodsly.week_date = DECODE(foods.week_date,
to_date('24-AUG-09', 'dd-Mon-yy') , to_date('25-AUG-08', 'dd-Mon-yy') ,
to_date('24-AUG-09', 'dd-Mon-yy') + 7, to_date('25-AUG-08', 'dd-Mon-yy') + 7,
to_date('24-AUG-09', 'dd-Mon-yy') + 14, to_date('25-AUG-08', 'dd-Mon-yy') + 14,
to_date('24-AUG-09', 'dd-Mon-yy') + 21, to_date('25-AUG-08', 'dd-Mon-yy') + 21,
to_date('24-AUG-09', 'dd-Mon-yy') + 28, to_date('25-AUG-08', 'dd-Mon-yy') + 28)
LEFT OUTER JOIN StoreDetails stores ON stores.storeid = Foods.storeid;one exception. In a With statement, I get a recordset containing all of last years data. I could not figure out the Pivot
to get the Last Year Next Week . That means next week, one year ago. I pulled out a snippet to work with but couldn't get it
to work:
The problem came when I tried to pivot the Last year sales. I pulled this snippet out to test with but couldn't make it work.
with WeeklyFoodSalesLY as
( SELECT fk_str_main_id AS storeid
, TRUNC(busi_date, 'iw') week_date
, sum(conf_numb2) conf_numb2
FROM my_csh_main csh
WHERE busi_date BETWEEN to_date('31-dec-07', 'dd-Mon-yy') and to_date('28-Sep-08', 'dd-Mon-yy') + 7
and fk_str_main_id = 141
GROUP BY fk_str_main_id , TRUNC(busi_date, 'iw')
, sales_ly as
( SELECT storeid
, week_date
, sum(conf_numb2) as net_sales
from WeeklyFoodSalesLY
WHERE week_date BETWEEN to_date('25-Aug-08', 'dd-Mon-yy') and to_date('28-Sep-08', 'dd-Mon-yy')
GROUP BY storeid , week_date
UNION ALL
SELECT storeid
, week_date
, sum(conf_numb2) as net_sales
from WeeklyFoodSalesLY
WHERE week_date BETWEEN to_date('25-Aug-08', 'dd-Mon-yy') + 7 and to_date('28-Sep-08', 'dd-Mon-yy') + 7
GROUP BY storeid , week_date
UNION ALL
SELECT storeid
, week_date
, sum(conf_numb2) as net_sales
from WeeklyFoodSalesLY
WHERE week_date < to_date('25-Aug-08', 'dd-Mon-yy')
GROUP BY storeid , week_date
, pivoted_sales_ly as
( SELECT storeid
week_date
, MAX(DECODE(week_date, to_date('25-Aug-08', 'dd-Mon-yy'), net_sales)) as lastyear
, MAX(DECODE(week_date, to_date('25-Aug-08', 'dd-Mon-yy') + 7, net_sales)) as lastyearnextweek
, MAX(DECODE(week_date, to_date('31-dec-07', 'dd-Mon-yy'), net_sales)) as lastyeartotal
from sales_ly
GROUP BY storeid, week_date
Select *
from pivoted_sales_ly; What am i dont wrong here? Once I get this I can work back into the original query.
Analytics:
Boneist gave me some code to try last week:
Combining refCursors and Summing
that created the PTD column.
I could never get it to work because I was tweaking so much with the Query but is there a way to get the PTD without
having to add an extra PTD column for each week.
One other thing:
I would like to know how to use analytics to roll up report by division into a different cursor.
Edited by: TheHTMLDJ on Oct 26, 2009 4:50 AM
Edited by: TheHTMLDJ on Oct 26, 2009 4:59 AMTheHTMLDJ wrote:
The report looks like this: (Data provided should produce these numbers except for maybe the YTD column.With the data you provided, I managed to produce the expected output for storeid 221, barring the YTD column, which had the wrong values. I had to make up the "next week" row for the previous year for storeid 221, btw:
WITH weekly_values AS (SELECT fk_str_main_id as storeid,
TRUNC(csh.busi_date, 'IW') AS week_date,
NVL(SUM(csh.conf_numb2), 0) AS net_sales,
NVL(SUM(conf_numb49), 0) AS ljs_food_sales,
NVL(SUM(conf_numb44), 0) AS total_drink_sales,
NVL(SUM(csh.conf_numb2) - SUM(conf_numb44)
- SUM(conf_numb3)
- SUM(conf_numb4), 0) AS net_food,
NVL(SUM(conf_numb38), 0) AS aw_sales,
NVL(SUM(conf_numb56), 0) AS tb_sales
FROM my_csh_main csh
WHERE (busi_date BETWEEN TRUNC(:v_bop, 'iy') AND TRUNC(:v_bop, 'iw') + 7*(:v_num_weeks - 1) + 6
OR
busi_date BETWEEN TRUNC(:v_bop_ly, 'iy') AND TRUNC(:v_bop_ly, 'iw') + 7*:v_num_weeks + 6)
AND fk_str_main_id IN (141, 221)
GROUP BY csh.fk_str_main_id,
TRUNC(csh.busi_date, 'IW')),
weekly_totals AS (SELECT storeid,
week_date,
net_sales,
ljs_food_sales,
total_drink_sales,
net_food,
CASE WHEN nvl(net_food, 0) = 0 then 0
ELSE ljs_food_sales / net_food
END AS ljs_percent,
CASE WHEN nvl(net_food, 0) = 0 then 0
ELSE total_drink_sales * (ljs_food_sales / net_food)
END AS ljs_drinks,
aw_sales,
tb_sales,
net_sales - aw_sales
- tb_sales
- ljs_food_sales
- CASE WHEN nvl(net_food, 0) = 0 then 0
ELSE total_drink_sales * (ljs_food_sales / net_food)
END AS landau_net_sales
FROM weekly_values),
week_tots_ytd AS (SELECT storeid,
week_date,
net_sales,
ljs_food_sales,
total_drink_sales,
net_food,
ljs_drinks,
aw_sales,
tb_sales,
landau_net_sales,
SUM(decode(week_date, TRUNC(:v_bop_ly, 'iw') + 7*:v_num_weeks, NULL, landau_net_sales)) OVER (PARTITION BY storeid,
trunc(week_date, 'iy')) lns_ytd,
SUM(decode(week_date, TRUNC(:v_bop_ly, 'iw') + 7*:v_num_weeks, NULL, aw_sales)) OVER (PARTITION BY storeid,
trunc(week_date, 'iy')) aws_ytd,
SUM(decode(week_date, TRUNC(:v_bop_ly, 'iw') + 7*:v_num_weeks, NULL, ljs_food_sales)) OVER (PARTITION BY storeid,
trunc(week_date, 'iy')) ljsf_ytd,
SUM(decode(week_date, TRUNC(:v_bop_ly, 'iw') + 7*:v_num_weeks, NULL, tb_sales)) OVER (PARTITION BY storeid,
trunc(week_date, 'iy')) tbs_ytd,
SUM(decode(week_date, TRUNC(:v_bop_ly, 'iw') + 7*:v_num_weeks, NULL, net_sales)) OVER (PARTITION BY storeid,
trunc(week_date, 'iy')) net_ytd,
SUM(net_sales) OVER (PARTITION BY storeid,
trunc(week_date, 'iy')) full_net_ytd,
SUM(landau_net_sales) OVER (PARTITION BY storeid,
CASE WHEN week_date between TRUNC(:v_bop, 'iw') and TRUNC(:v_bop, 'iw') + 7*(:v_num_weeks -1) THEN 1
WHEN week_date between TRUNC(:v_bop_ly, 'iw') and TRUNC(:v_bop_ly, 'iw') + 7*(:v_num_weeks -1) THEN 2
END) lns_ptd,
SUM(aw_sales) OVER (PARTITION BY storeid,
CASE WHEN week_date between TRUNC(:v_bop, 'iw') and TRUNC(:v_bop, 'iw') + 7*(:v_num_weeks -1) THEN 1
WHEN week_date between TRUNC(:v_bop_ly, 'iw') and TRUNC(:v_bop_ly, 'iw') + 7*(:v_num_weeks -1) THEN 2
END) aws_ptd,
SUM(ljs_food_sales) OVER (PARTITION BY storeid,
CASE WHEN week_date between TRUNC(:v_bop, 'iw') and TRUNC(:v_bop, 'iw') + 7*(:v_num_weeks -1) THEN 1
WHEN week_date between TRUNC(:v_bop_ly, 'iw') and TRUNC(:v_bop_ly, 'iw') + 7*(:v_num_weeks -1) THEN 2
END) ljsf_ptd,
SUM(tb_sales) OVER (PARTITION BY storeid,
CASE WHEN week_date between TRUNC(:v_bop, 'iw') and TRUNC(:v_bop, 'iw') + 7*(:v_num_weeks -1) THEN 1
WHEN week_date between TRUNC(:v_bop_ly, 'iw') and TRUNC(:v_bop_ly, 'iw') + 7*(:v_num_weeks -1) THEN 2
END) tbs_ptd,
SUM(net_sales) OVER (PARTITION BY storeid,
CASE WHEN week_date between TRUNC(:v_bop, 'iw') and TRUNC(:v_bop, 'iw') + 7*(:v_num_weeks -1) THEN 1
WHEN week_date between TRUNC(:v_bop_ly, 'iw') and TRUNC(:v_bop_ly, 'iw') + 7*(:v_num_weeks-1) THEN 2
END) net_ptd,
LEAD(net_sales) OVER (PARTITION BY storeid,
trunc(week_date, 'iy')
ORDER BY week_date) next_week_net_sales
FROM weekly_totals),
foods AS (Select storeid,
CASE WHEN week_date in (:v_bop, :v_bop_ly) then 1
WHEN week_date in (:v_bop + 7, :v_bop_ly + 7) then 2
WHEN week_date in (:v_bop + 14, :v_bop_ly + 14) then 3
WHEN week_date in (:v_bop + 21, :v_bop_ly + 21) then 4
WHEN week_date in (:v_bop + 28, :v_bop_ly + 28) then 5
END AS week_number,
week_date,
ROUND(net_sales - (aw_sales + tb_sales + ljs_drinks + ljs_food_sales), 2) AS landau_net_sales,
ROUND(aw_sales, 2) AS aw_sales,
ROUND(tb_sales, 2) AS tb_sales,
ROUND(ljs_drinks + ljs_food_sales, 2) AS ljs_net_sales,
ROUND(net_sales, 2) AS net_sales,
ROUND(lns_ytd, 2) AS lns_ytd,
ROUND(aws_ytd, 2) AS aws_ytd,
ROUND(ljsf_ytd, 2) AS ljsf_ytd,
ROUND(tbs_ytd, 2) AS tbs_ytd,
ROUND(net_ytd, 2) AS net_ytd,
ROUND(full_net_ytd, 2) AS full_net_ytd,
ROUND(lns_ptd, 2) AS lns_ptd,
ROUND(aws_ptd, 2) AS aws_ptd,
ROUND(ljsf_ptd, 2) AS ljsf_ptd,
ROUND(tbs_ptd, 2) AS tbs_ptd,
ROUND(net_ptd, 2) AS net_ptd,
ROUND(next_week_net_sales, 2) AS next_week_net_sales,
SUM(ROUND(next_week_net_sales, 2)) OVER (PARTITION BY storeid,
TRUNC(week_date, 'iy')) nwns_ptd
FROM week_tots_ytd
WHERE (week_date BETWEEN TRUNC(:v_bop, 'iw') AND TRUNC(:v_bop, 'iw') + 7*(:v_num_weeks - 1)
OR
week_date BETWEEN TRUNC(:v_bop_ly, 'iw') AND TRUNC(:v_bop_ly, 'iw') + 7*(:v_num_weeks - 1))),
pivoted_foods AS (SELECT storeid,
week_number,
MAX(DECODE(TRUNC(week_date, 'iy'), TRUNC(:v_bop, 'iy'), landau_net_sales)) landau_net_sales,
MAX(DECODE(TRUNC(week_date, 'iy'), TRUNC(:v_bop, 'iy'), aw_sales)) aw_sales,
MAX(DECODE(TRUNC(week_date, 'iy'), TRUNC(:v_bop, 'iy'), tb_sales)) tb_sales,
MAX(DECODE(TRUNC(week_date, 'iy'), TRUNC(:v_bop, 'iy'), ljs_net_sales)) ljs_net_sales,
MAX(DECODE(TRUNC(week_date, 'iy'), TRUNC(:v_bop, 'iy'), net_sales)) net_sales,
MAX(DECODE(TRUNC(week_date, 'iy'), TRUNC(:v_bop, 'iy'), lns_ytd)) lns_ytd,
MAX(DECODE(TRUNC(week_date, 'iy'), TRUNC(:v_bop, 'iy'), aws_ytd)) aws_ytd,
MAX(DECODE(TRUNC(week_date, 'iy'), TRUNC(:v_bop, 'iy'), ljsf_ytd)) ljsf_ytd,
MAX(DECODE(TRUNC(week_date, 'iy'), TRUNC(:v_bop, 'iy'), tbs_ytd)) tbs_ytd,
MAX(DECODE(TRUNC(week_date, 'iy'), TRUNC(:v_bop, 'iy'), net_ytd)) net_ytd,
MAX(DECODE(TRUNC(week_date, 'iy'), TRUNC(:v_bop, 'iy'), full_net_ytd)) full_net_ytd,
MAX(DECODE(TRUNC(week_date, 'iy'), TRUNC(:v_bop, 'iy'), lns_ptd)) lns_ptd,
MAX(DECODE(TRUNC(week_date, 'iy'), TRUNC(:v_bop, 'iy'), aws_ptd)) aws_ptd,
MAX(DECODE(TRUNC(week_date, 'iy'), TRUNC(:v_bop, 'iy'), ljsf_ptd)) ljsf_ptd,
MAX(DECODE(TRUNC(week_date, 'iy'), TRUNC(:v_bop, 'iy'), tbs_ptd)) tbs_ptd,
MAX(DECODE(TRUNC(week_date, 'iy'), TRUNC(:v_bop, 'iy'), net_ptd)) net_ptd,
MAX(DECODE(TRUNC(week_date, 'iy'), TRUNC(:v_bop_ly, 'iy'), net_sales)) ly_net_sales,
MAX(DECODE(TRUNC(week_date, 'iy'), TRUNC(:v_bop_ly, 'iy'), net_ytd)) ly_net_ytd,
MAX(DECODE(TRUNC(week_date, 'iy'), TRUNC(:v_bop_ly, 'iy'), net_ptd)) ly_net_ptd,
MAX(DECODE(TRUNC(week_date, 'iy'), TRUNC(:v_bop_ly, 'iy'), next_week_net_sales)) ly_next_week_net_sales,
MAX(DECODE(TRUNC(week_date, 'iy'), TRUNC(:v_bop_ly, 'iy'), nwns_ptd)) ly_nwns_ptd
FROM foods
GROUP BY storeid,
week_number),
storedetails AS (SELECT companyname,
districtname,
storeid,
storename,
storenbr
FROM landau_report_stores
WHERE UPPER(storename) NOT LIKE '%CLOSED%'
ORDER BY districtname, storenbr),
dummy AS (SELECT level col1
FROM dual
CONNECT BY level <= 8)
SELECT pf.storeid,
DECODE(dummy.col1, 1, 'Net - Landau',
2, 'Net - AW',
3, 'Net - LJS',
4, 'Net - TB',
5, 'Total Net',
6, 'Last Year Sales',
7, 'Increase',
8, 'Last Year Next Week') category,
SUM(CASE WHEN pf.week_number = 1 AND dummy.col1 = 1 THEN pf.landau_net_sales
WHEN pf.week_number = 1 AND dummy.col1 = 2 THEN pf.aw_sales
WHEN pf.week_number = 1 AND dummy.col1 = 3 THEN pf.ljs_net_sales
WHEN pf.week_number = 1 AND dummy.col1 = 4 THEN pf.tb_sales
WHEN pf.week_number = 1 AND dummy.col1 = 5 THEN pf.net_sales
WHEN pf.week_number = 1 AND dummy.col1 = 6 THEN pf.ly_net_sales
WHEN pf.week_number = 1 AND dummy.col1 = 7 THEN pf.net_sales - pf.ly_net_sales
WHEN pf.week_number = 1 AND dummy.col1 = 8 THEN pf.ly_next_week_net_sales
END) week1,
SUM(CASE WHEN pf.week_number = 2 AND dummy.col1 = 1 THEN pf.landau_net_sales
WHEN pf.week_number = 2 AND dummy.col1 = 2 THEN pf.aw_sales
WHEN pf.week_number = 2 AND dummy.col1 = 3 THEN pf.ljs_net_sales
WHEN pf.week_number = 2 AND dummy.col1 = 4 THEN pf.tb_sales
WHEN pf.week_number = 2 AND dummy.col1 = 5 THEN pf.net_sales
WHEN pf.week_number = 2 AND dummy.col1 = 6 THEN pf.ly_net_sales
WHEN pf.week_number = 2 AND dummy.col1 = 7 THEN pf.net_sales - pf.ly_net_sales
WHEN pf.week_number = 2 AND dummy.col1 = 8 THEN pf.ly_next_week_net_sales
END) week2,
SUM(CASE WHEN pf.week_number = 3 AND dummy.col1 = 1 THEN pf.landau_net_sales
WHEN pf.week_number = 3 AND dummy.col1 = 2 THEN pf.aw_sales
WHEN pf.week_number = 3 AND dummy.col1 = 3 THEN pf.ljs_net_sales
WHEN pf.week_number = 3 AND dummy.col1 = 4 THEN pf.tb_sales
WHEN pf.week_number = 3 AND dummy.col1 = 5 THEN pf.net_sales
WHEN pf.week_number = 3 AND dummy.col1 = 6 THEN pf.ly_net_sales
WHEN pf.week_number = 3 AND dummy.col1 = 7 THEN pf.net_sales - pf.ly_net_sales
WHEN pf.week_number = 3 AND dummy.col1 = 8 THEN pf.ly_next_week_net_sales
END) week3,
SUM(CASE WHEN pf.week_number = 4 AND dummy.col1 = 1 THEN pf.landau_net_sales
WHEN pf.week_number = 4 AND dummy.col1 = 2 THEN pf.aw_sales
WHEN pf.week_number = 4 AND dummy.col1 = 3 THEN pf.ljs_net_sales
WHEN pf.week_number = 4 AND dummy.col1 = 4 THEN pf.tb_sales
WHEN pf.week_number = 4 AND dummy.col1 = 5 THEN pf.net_sales
WHEN pf.week_number = 4 AND dummy.col1 = 6 THEN pf.ly_net_sales
WHEN pf.week_number = 4 AND dummy.col1 = 7 THEN pf.net_sales - pf.ly_net_sales
WHEN pf.week_number = 4 AND dummy.col1 = 8 THEN pf.ly_next_week_net_sales
END) week4,
SUM(CASE WHEN pf.week_number = 5 AND dummy.col1 = 1 THEN pf.landau_net_sales
WHEN pf.week_number = 5 AND dummy.col1 = 2 THEN pf.aw_sales
WHEN pf.week_number = 5 AND dummy.col1 = 3 THEN pf.ljs_net_sales
WHEN pf.week_number = 5 AND dummy.col1 = 4 THEN pf.tb_sales
WHEN pf.week_number = 5 AND dummy.col1 = 5 THEN pf.net_sales
WHEN pf.week_number = 5 AND dummy.col1 = 6 THEN pf.ly_net_sales
WHEN pf.week_number = 5 AND dummy.col1 = 7 THEN pf.net_sales - pf.ly_net_sales
WHEN pf.week_number = 5 AND dummy.col1 = 8 THEN pf.ly_next_week_net_sales
END) week5,
SUM(CASE WHEN pf.week_number = 5 AND dummy.col1 = 1 THEN pf.lns_ptd
WHEN pf.week_number = 5 AND dummy.col1 = 2 THEN pf.aws_ptd
WHEN pf.week_number = 5 AND dummy.col1 = 3 THEN pf.ljsf_ptd
WHEN pf.week_number = 5 AND dummy.col1 = 4 THEN pf.tbs_ptd
WHEN pf.week_number = 5 AND dummy.col1 = 5 THEN pf.net_ptd
WHEN pf.week_number = 5 AND dummy.col1 = 6 THEN pf.ly_net_ptd
WHEN pf.week_number = 5 AND dummy.col1 = 7 THEN pf.net_ptd - pf.ly_net_ptd
WHEN pf.week_number = 5 AND dummy.col1 = 8 THEN pf.ly_nwns_ptd
END) period_to_date,
SUM(CASE WHEN pf.week_number = 5 AND dummy.col1 = 1 THEN pf.lns_ytd
WHEN pf.week_number = 5 AND dummy.col1 = 2 THEN pf.aws_ytd
WHEN pf.week_number = 5 AND dummy.col1 = 3 THEN pf.ljsf_ytd
WHEN pf.week_number = 5 AND dummy.col1 = 4 THEN pf.tbs_ytd
WHEN pf.week_number = 5 AND dummy.col1 = 5 THEN pf.net_ytd
WHEN pf.week_number = 5 AND dummy.col1 = 6 THEN pf.ly_net_ytd
WHEN pf.week_number = 5 AND dummy.col1 = 7 THEN pf.net_ytd - pf.ly_net_ytd
WHEN pf.week_number = 5 AND dummy.col1 = 8 THEN pf.full_net_ytd
END) year_to_date,
stores.companyname,
stores.districtname,
stores.storename,
stores.storenbr
FROM pivoted_foods pf
LEFT OUTER JOIN storedetails stores ON stores.storeid = pf.storeid,
dummy
group by dummy.col1,
DECODE(dummy.col1, 1, 'Net - Landau',
2, 'Net - AW',
3, 'Net - LJS',
4, 'Net - TB',
5, 'Total Net',
6, 'Last Year Sales',
7, 'Increase',
8, 'Last Year Next Week'),
rollup((pf.storeid,
stores.companyname,
stores.districtname,
stores.storename,
stores.storenbr))
order by pf.storeid, dummy.col1;(replace all :v_num_weeks, :v_bop and :v_bop_ly references with your variables) -
Hi All,
Has any one used JDBC sender adapter message size restrction parameters which are specified in note 1253826?
I have configured below 3 parameters as per note but its not working.
msgLimit = true
maxMsgSize = 10240
maxRowSize = 2
As per my configuration, I see 1 record size is 2 KB hence maxRowSize = 2. I am allowing max 10MB load to come in so maxMsgSize value as 10240. but even for 1 record I am getting error as ERROR_MAX_MSG_SIZE_REACHED which is not expected.
Please let me know if some one has used above parameters successfully.
Thanks in advance.
Regards
SushilHi Sushil
Use this concept.
Its very simple if you know the SQL or oracle.
Whatever is you database just apply TOP query in your select query and update query in your sender JDBC adapter.
If you dont know the query just search in google.
What TOP Query do:
for example ( SQL Server ) i have to pic only 10000 records from the 50000 records present in table.
Here i will apply ---
Select TOP 10000 fieldName1, fieldName2 from TableName where clause...
Update TOP(10000) TableName set fieldName1='1' where clause...
Use this query and your problem will be solved.
Please dont forget to make it Transaction Level Isolation = serializable (under Advanced --> Additional Parameters in your sender Communication channel)
Hope so it will solve your problem.
Regards
Dheeraj Kumar -
PIVOT Function in isqlPlus ??? HELP please!
I need to Pivot a column of Numeric data in a table.
The data is as follows: (I generate this table in a VIEW):
COL1 COL2 COL3
jdoe green -1
jdoe blue -1
jdoe yellow 0
jdoe red 0
jdoe orange -1
asmith blue 0
asmith green -1
asmith gold 0
asmith yellow -1
asmith red -1
asmith orange 0
I produce this table of data from a VIEW select statement.
I am writing a second VIEW select as a subquery to this top query. I want the second or subquery VIEW select to produce a PIVOT of the third column that will produce the following for me:
COL1 COL2 COL3 COL4
jdoe 5 3 2
asmith 6 3 3
...the end result being one row for each username with a breakout of total count of -1's and total count of 0's, and of course a grand total in Col2.
I cannot find any sensible documentation in the miles and miles of documentation within Oracle's library. Can anyone help me please?select col1
, count(*) col2
, sum(decode(col3,-1,1,0)) col3
, sum(decode(col3,0,1,0)) col4
from your_table
group by col1
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