Urgent: Same BPEL code, different servers, different results in deployment
Hi everybody,
I need some urgent assistance as I am nearing a Go-live deadline.
I have some BPEL code (10.1.3.3) which I attempt to deploy from JDeveloper (10.1.3.4).
When I deploy to development environment it deploys fine.
When I try to deploy to test environment I get the following error:
[Error ORABPEL-10902]: compilation failed
[Description]: in "bpel.xml", XML parsing failed because "undefined part element.
In WSDL at "file:/oradata/OracleAS_1/bpel/domains/outboundnoterepository/tmp/.bpel_RealWSDL_1.0_75ea24906b156b639e4531aa3ef007fb.tmp/nrwsdl/nr/RCMR_AR000002NR01.wsdl", message part element "{urn:hl7-org:v3}MCCI_IN002200NR01" is not defined in any of the schemas.
Please make sure the spelling of the element QName is correct and the WSDL import is complete.
This makes no sense to me. If there was a problem with the "{urn:hl7-org:v3}MCCI_IN002200NR01" element it should be the same whether I deploy to development or test environment.
The only thing I have changed is the endpoint of an invokation from the process - and I even tried not changing that to no avail.
Does anyone have any idea what is going on here?
Your help is much appreciated!
Kind regards,
Mathias
Hello f1fan,
just to be sure, are you getting the same message stating
{noformat}
In WSDL at "file:/oradata/OracleAS_1/bpel/domains/outboundnoterepository/tmp/.bpel_RealWSDL_1.0_75ea24906b156b639e4531aa3ef007fb.tmp/nrwsdl/nr/RCMR_AR000002NR01.wsdl", message part element "{urn:hl7-org:v3}MCCI_IN002200NR01" is not defined in any of the schemas.
{noformat}
when deploying your process? Or is it just a different behavior when deploying to different servers?
The first issue might arise from an import statement in the wsdl file having a location that could not be resolved on the BPEL server. Do you use imports and if so, are you using a URL or a local relative path?
Cheers,
Marco
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A little background first:
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Here's the SQL (Apologies for the length).
WITH ChartItems as (
select distinct ci.itemid, ci.label, ci.category, ci.description,
case
when
(count(distinct ce.value1) over (partition by ci.itemid) > 0 OR
count(distinct ce.value2) over (partition by ci.itemid) > 0)
AND
(count(distinct ce.value1num) over (partition by ci.itemid) > 0 OR
count(distinct ce.value2num) over (partition by ci.itemid) > 0)
then 'H'
when
count(distinct ce.value1num) over (partition by ci.itemid) > 0 OR
count(distinct ce.value2num) over (partition by ci.itemid) > 0
then 'N'
when
count(distinct ce.value1) over (partition by ci.itemid) > 0 OR
count(distinct ce.value2) over (partition by ci.itemid) > 0
then 'S'
else
'X'
end as value_type,
-- The value column
case
when
(count(distinct ce.value1) over (partition by ci.itemid) > 0 OR
count(distinct ce.value1num) over (partition by ci.itemid) > 0)
and
(count(distinct ce.value2) over (partition by ci.itemid) > 0 OR
count(distinct ce.value2num) over (partition by ci.itemid) > 0)
then 'both'
when
count(distinct ce.value1) over (partition by ci.itemid) > 0 OR
count(distinct ce.value1num) over (partition by ci.itemid) > 0
then 'value1'
when
count(distinct ce.value2) over (partition by ci.itemid) > 0 OR
count(distinct ce.value2num) over (partition by ci.itemid) > 0
then 'value2'
else
'none'
end as value_column
from items ci,
events ce
where ce.itemid = ci.itemid
and ci.itemid < 5
, RawData as (
select distinct ci.itemid, ci.label, ci.category, ci.description,
ci.value_type, ci.value_column,
count(*)
over (partition by ci.itemid) as rows_num,
count(distinct ce.subject_id)
over (partition by ci.itemid) as subjects_num,
avg(abs(cast(ce.realtime as date) - cast(ce.charttime as date)) * 24 * 60)
over (partition by ci.itemid) as chart_vs_realtime_delay_mean,
stddev(abs(cast(ce.realtime as date) - cast(ce.charttime as date)) * 24 * 60)
over (partition by ci.itemid) as chart_vs_realtime_delay_stddev,
case
when ci.value_column in ('value1', 'both') then
case
when (last_value(ce.value1uom)
over (partition by ci.itemid
order by ce.value1uom nulls last
ROWS BETWEEN UNBOUNDED PRECEDING AND
UNBOUNDED FOLLOWING)
) is null then
count(distinct ce.value1uom)
over (partition by ci.itemid) + 1
else
count(distinct ce.value1uom)
over (partition by ci.itemid)
end
else
0
end as value1_uom_num,
case
when ci.value_column in ('value1', 'both') then
case
when (last_value(ce.value1uom)
over (partition by ci.itemid
order by ce.value1uom nulls last
ROWS BETWEEN UNBOUNDED PRECEDING AND
UNBOUNDED FOLLOWING)
) is null then
'Y'
else
'N'
end
else
null
end as value1_uom_has_nulls,
first_value(ce.value1uom) ignore nulls
over (partition by ci.itemid
order by ce.charttime ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) as value1_uom_sample1,
last_value(ce.value1uom) ignore nulls
over (partition by ci.itemid
order by ce.charttime ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) as value1_uom_sample2,
case
when ci.value_column in ('value1', 'both') then
case
when (last_value(ce.value1)
over (partition by ci.itemid
order by ce.value1 nulls last
ROWS BETWEEN UNBOUNDED PRECEDING AND
UNBOUNDED FOLLOWING)
) is null then
count(distinct ce.value1)
over (partition by ci.itemid) + 1
else
count(distinct ce.value1)
over (partition by ci.itemid)
end
else
0
end as value1_distinct_num,
case
when ci.value_column in ('value1', 'both') then
case
when (last_value(ce.value1)
over (partition by ci.itemid
order by ce.value1 nulls last
ROWS BETWEEN UNBOUNDED PRECEDING AND
UNBOUNDED FOLLOWING)
) is null then
'Y'
else
'N'
end
else
null
end as value1_has_nulls,
first_value(ce.value1) ignore nulls
over (partition by ci.itemid
order by ce.charttime ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) as value1_sample1,
last_value(ce.value1) ignore nulls
over (partition by ci.itemid
order by ce.charttime ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) as value1_sample2,
min(length(ce.value1))
over (partition by ci.itemid) as value1_length_min,
max(length(ce.value1))
over (partition by ci.itemid) as value1_length_max,
avg(length(ce.value1))
over (partition by ci.itemid) as value1_length_mean,
min(ce.value1num)
over (partition by ci.itemid) as value1num_min,
max(ce.value1num)
over (partition by ci.itemid) as value1num_max,
avg(ce.value1num)
over (partition by ci.itemid) as value1num_mean,
stddev(ce.value1num)
over (partition by ci.itemid) as value1num_stddev,
case
when ci.value_column in ('value2', 'both') then
case
when (last_value(ce.value2uom)
over (partition by ci.itemid
order by ce.value2uom nulls last
ROWS BETWEEN UNBOUNDED PRECEDING AND
UNBOUNDED FOLLOWING)
) is null then
count(distinct ce.value2uom)
over (partition by ci.itemid) + 1
else
count(distinct ce.value2uom)
over (partition by ci.itemid)
end
else
0
end as value2_uom_num,
case
when ci.value_column in ('value2', 'both') then
case
when (last_value(ce.value2uom)
over (partition by ci.itemid
order by ce.value2uom nulls last
ROWS BETWEEN UNBOUNDED PRECEDING AND
UNBOUNDED FOLLOWING)
) is null then
'Y'
else
'N'
end
else
null
end as value2_uom_has_nulls,
first_value(ce.value2uom) ignore nulls
over (partition by ci.itemid
order by ce.charttime ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) as value2_uom_sample1,
last_value(ce.value2uom) ignore nulls
over (partition by ci.itemid
order by ce.charttime ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) as value2_uom_sample2,
case
when ci.value_column in ('value2', 'both') then
case
when (last_value(ce.value2)
over (partition by ci.itemid
order by ce.value2 nulls last
ROWS BETWEEN UNBOUNDED PRECEDING AND
UNBOUNDED FOLLOWING)
) is null then
count(distinct ce.value2)
over (partition by ci.itemid) + 1
else
count(distinct ce.value2)
over (partition by ci.itemid)
end
else
0
end as value2_distinct_num,
case
when ci.value_column in ('value2', 'both') then
case
when (last_value(ce.value2)
over (partition by ci.itemid
order by ce.value2 nulls last
ROWS BETWEEN UNBOUNDED PRECEDING AND
UNBOUNDED FOLLOWING)
) is null then
'Y'
else
'N'
end
else
null
end as value2_has_nulls,
first_value(ce.value2)
over (partition by ci.itemid
order by ce.charttime ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) as value2_sample1,
last_value(ce.value2)
over (partition by ci.itemid
order by ce.charttime ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) as value2_sample2,
min(length(ce.value2))
over (partition by ci.itemid) as value2_length_min,
max(length(ce.value2))
over (partition by ci.itemid) as value2_length_max,
avg(length(ce.value2))
over (partition by ci.itemid) as value2_length_mean,
min(ce.value2num)
over (partition by ci.itemid) as value2num_min,
max(ce.value2num)
over (partition by ci.itemid) as value2num_max,
avg(ce.value2num)
over (partition by ci.itemid) as value2num_mean,
stddev(ce.value2num)
over (partition by ci.itemid) as value2num_stddev
from ChartItems ci,
events ce
where ce.itemid = ci.itemid
-- order by ci.itemid, ci.label
select label, trim(lower(label)) label_lower, itemid, category, description,
value_type, value_column,
rows_num, subjects_num,
round(chart_vs_realtime_delay_mean, 2) as chart_vs_realtime_delay_mean,
round(chart_vs_realtime_delay_stddev, 2) as chart_vs_realtime_delay_stddev,
value1_uom_num, value1_uom_has_nulls,
value1_uom_sample1, value1_uom_sample2,
value1_distinct_num, value1_has_nulls,
value1_sample1, value1_sample2,
value1_length_min, value1_length_max,
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round(value1num_min, 2) as value1num_min,
round(value1num_max, 2) as value1num_max,
round(value1num_mean, 2) as value1num_mean,
round(value1num_stddev, 2) as value1num_stddev,
value2_uom_num, value2_uom_has_nulls,
value2_uom_sample1, value2_uom_sample2,
value2_distinct_num, value2_has_nulls,
value2_sample1, value2_sample2,
value2_length_min, value2_length_max,
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round(value2num_max, 2) as value2num_max,
round(value2num_mean, 2) as value2num_mean,
round(value2num_stddev, 2) as value2num_stddev
from RawData
order by label, itemid; -
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http://help.sap.com/saphelp_47x200/helpdata/en/4d/2b911d43ad11d189410000e829fbbd/content.htm
http://help.sap.com/saphelp_47x200/helpdata/en/4d/2b917843ad11d189410000e829fbbd/content.htm
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Here are a few suggestions for restoring the old design. I hope you’ll find one that works for you:
*Use the [https://addons.mozilla.org/en-US/firefox/addon/classicthemerestorer/ Classic Theme Restorer] to bring back the old design. Learn more here: [[How to make the new Firefox look like the old Firefox]]
*Use the [https://addons.mozilla.org/en-US/firefox/addon/the-addon-bar/ Add-on Bar Restored] to bring back the add-on bar. Learn more here: [[What happened to the Add-on Bar?]] -
Two different tax rates in same tax code
hi,
I have a client requirement as follows. A tax code is created for 12.5% cenvat. This tax code is used by one company. Now the same tax code will be used by second company but in some of their transactions they want 5% cenvat and balance 7.5% to be transferred to inventory.
Can such a config be done with same tax code with condition types or something? PLZ help in this issue. FYI the client does not wants a separate tax code to be created as volume of transactions with 5% tax rate is very less.
thanks and reagdrs
Tanuja NAik
FICO consultantUnfortunately, same tax code can't be used with different rates. In your situation, it's inevitable to create another tax code.
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Same report, 2 identical servers, 2 different outputs???
We have a report that is produced correctly on our Staging server, but when we promote the same report to our Production server (which is a mirror of our Staging server), we get different output. The machines are identical in every respect except for the name. The same queues, fonts, and version of Crystal Report (10.2.3600.0) is installed on both. I wish I could upload the 2 versions of the pdfs that are outputted for you to see the differences, but there doesn't seem to be a way to do that here. Any ideas of what could be causing the discrepancies?
Hi Amanda,
Can I back track a bit here? I would like a bit more clarification on how this is being tested. From what I understand:
1) You have the same application running on 2 different servers which are mirrors of each other.
2) The report is exported to PDF directly, not previewed or printed first.
3) The PDF is opened locally on the client machine.
A couple of questions I have:
1) Is the client machine viewing the PDFs from both servers or are these 2 different clients as well? If the clients are different, then can you try opening the PDF from the second server onto your original client and see if they formatting is the same? I say this because I want to make sure the Acrobat reader is the same version on both machines and to eliminate the possibility that the PDF is fine but the reader may be the culprit.
2) You've removed the printer in the report I see. On the client machine, is there default printer installed and is it something other than the Generic Text Driver?
3) Same question as above but on the second server? A printer is important to Crystal even if you are not printing. Many years ago if a printer was not installed, the print engine would crash the report when you tried to run it. That's when the No Printer option was added but that's a different story. I just needed to stress the importance of having a printer installed.
Thanks,
Brian -
ESB and BPEL in different servers
Hi ,
Is there any performance based advantage when we have BPEL and ESB in different servers ?If you seperate them, it will have impacht on the perfromance. Services are called over the network, assuming BPEL and ESB are on different servers. Otherwise they can call each other via native binding if ESB and BPEL are in the server and container.
Marc
http://orasoa.blogspot.com
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