Increasing strength and time of vibration notifications
Help!! I used to own a blackberry and am thinking of returning to it because of the flash and vibrate notifications. I never hear or feel the vibration notificaitions on the iphone 4 and there is no flash option. Is there anything I can do to increase the length and strength of the vibrations for incoming texts, emails and phones calls. Thanks. Is apple planning to add software to address this in the near future?
There is no way to increase the length and strength of the vibrations.
We're users here just like you, so we have no more way of knowing than you do if apple plans to address this in the future.
Feedback goes here: http://www.apple.com/feedback/iphone.html
Similar Messages
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Updating date and time after closing notification thru FM 'STATUS_UPDATE'.
Friends,
My requirement is to update certain closed notification.
Before opening a closed notification, the field QMDAB and QMZAB ( Closing date and closing time ) are present in the table QMEL with some values.
Now i open this closed document thru my program, by updating values in JEST table, then change the notification thru another function module, and then close it again by reverting the changes done in JEST table.
I am using the function module 'STATUS_UPDATE' to make the changes in JEST table.
Now my problem is, though the notification gets closed after using 'STATUS_UPDATE', the closing date and closing time do not get updated in the database table QMEL. They become blank.
I am using the function module 'IQS4_GET_NOTIFICATION' and IQS4_MODIFY_NOTIFICATION to make changes in notification.
Kindly help.Hi,
Your problem is that, after changing the notification status through the function module "STATUS_UPDATE" , field QMDAB and QMZAB ( Closing date and closing time ) are not updated in the table QMEL
i am also facing the same problem.
did you get the answerd for your problems ?
can you please tell me, what you did, to solve your problems.
can you please share your answer with me?
you can contact me also if you wish
duraisamy . dhanaraj at accenture . com
Manythanks
Duraisamy -
My ringer is no longer working for text and email notifications. Only working for phone calls. I have gone through all the settings to see where something is off. Not finding anything. I have tried changing the tone and it just vibrates on everything.
Ok so I happened to figure it out while on the phone to apple support. Even though the guy was very nice, I think I knew more than him! He was explaining very basic resolution principles I played about. I had the second option in displays resolution. All I did was unplug the HDMI cable, click on 'best for display' then plugged the HDMI in and my resolution on the normal monitor changed to the normal blue, then went black momentarily and then changed to a strange resolution but another window appeared that said SONY BRAVIA HDMI at the top! Hey presto! Don't know why it didn't do it yesterday - I probably left the HDMI cable in or something! Oh well. Problem solved!
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BAPI to change notification task completion date and time
Hi,
I am looking for a BAPI which will modifiy completion date and time of an existing task of a notification.
I was trying with BAPI_ALM_NOTIF_DATA_MODIFY but it doesn't have fields which can modify those fields.
Looking for your help. Can directly update QMSM table
should be a way?
Thanks,
MainakHi,
Use the Method ISUSMORDER.technicalcompletion.
Hope it helps.
KR,
AAL! -
Email syncs now say "Updated Mar 30", the day I upgraded to Lollipop 5.0. Two days later it is still saying Mar 30. The notification should read the date and time you updated email receiving. Does anyone else have this problem? Is there a solution to this?
We want to make sure your phone is in working order Mb_in_NC. I know it can be difficult when you see different times. What is your make/model of your device? When did it start? Do you have a different time on any other applications?
AmberF_VZW
Follow us on Twitter @VZWSupport
If my response answered your question please click the "Correct Answer" button under my response. This ensures others can benefit from our conversation. Thanks in advance for your help with this!! -
I'm considering FileVault usage on an iMac with OSX 10.6.7. Wanting to know more about strengths and weaknesses of Filevault with Time Machine, Parallels and Carbon Copy Cloner. Any negatives to consider before flipping the switch? Any information ?
Would specifically like to know:
Filevault impact on performance and application usability.
TIme machine impacts, and whether TIme Machine volume will also be secure?
Will a Cloned copy made with CCC be bootable, or usable?
Any other negatives to consider before turning this thing on?
Thanks,Filevault impact on performance and application usability.
FileVault encrypts the user's home directory only - it is basically an encrypted disk image that is automatically opened when you log in and closed when you log out. It does cause disk accesses to be a bit slower so it isn't a good idea to use an encrypted account with sound or video or large graphics files. I have no experience with it with Parallels Desktop but suspect that you'd notice a bit of a slowdown. Note: in the User's directory you'll see a Shared Folder. Since FV only encrypts the user's directory you can put data you don't need encrypted in this shared folder which won't be encrypted.
TIme machine impacts, and whether TIme Machine volume will also be secure?
There are issues with TM and FV but how extensive they are with Snow Leopard I can't say, once I realized that TM and FV hadn't substantially changed between 10.5 and 10.6 I stopped dealing with it. When FV and TM were first introduced my testing led me to recommend using CCC or SuperDuper! for backing up.
Will a Cloned copy made with CCC be bootable, or usable?
Yes
Any other negatives to consider before turning this thing on?
Since FV is nothing more than a disk image - and disk images can fail - there are several problems with FV in my opinion. If an encrypted disk image fails it isn't possible to access any of that data. If you don't have a recent (undamaged) backup of the disk image and/or recent backup of the data within the disk image you are in a world of hurt. This isn't just a warning of possibility - this is a real danger that I've seen all too often at the shop where I have worked part time for a number of years.
At this time I strongly recommend that people who have sensitive data keep that sensitive data segregated from their general data and encrypt only the sensitive data or use other methods of locking it down such as saving on an external drive that is kept in a safe. Call me paranoid but I don't even keep all my sensitive data in one encrypted disk image. I use multiple disk images and keep multiple sequential backups. That way I might someday find that my up-to-date investments disk image won't mount but (a) I can go back a week to a backup and (b) that won't impact my up-to-date business records because those are in a different disk image -
Please help me figure out what causes my internet connection and airport extreme run erratically. It occurred twice already and my only solution is to reset the date and time, and restart my macbook pro. after that, everything seems to work perfectly again. This is only problem that my macbook pro encountered for two years. Thanks!
Try what Terence Devlin posted in this topic:
Terence Devlin
Apr 14, 2015 11:21 AM
Re: Is Iphoto gone ? i want it back!
in response to Johannes666
Recommended
Go to the App Store and check out the Purchases List. If iPhoto is there then it will be v9.6.1
If it is there, then drag your existing iPhoto app (not the library, just the app) to the trash
Install the App from the App Store.
Sometimes iPhoto is not visible on the Purchases List. it may be hidden. See this article for details on how to unhide it.
http://support.apple.com/kb/HT4928
One question often asked: Will I lose my Photos if I reinstall?
iPhoto the application and the iPhoto Library are two different parts of the iPhoto programme. So, reinstalling the app should not affect the Library. BUT you should always have a back up before doing this kind of work. Always. -
Increase Performance and ROI for SQL Server Environments
May 2015
Explore
The Buzz from Microsoft Ignite 2015
NetApp was in full force at the recent Microsoft Ignite show in Chicago, talking about solutions for hybrid cloud, and our proven solutions for Microsoft SQL Server and other Microsoft applications.
Hot topics at the NetApp booth included:
OnCommand® Shift. A revolutionary technology that lets you move virtual machines back and forth between VMware and Hyper-V environments in minutes.
Azure Site Recovery to NetApp Private Storage. Replicate on-premises SAN-based applications to NPS for disaster recovery in the Azure cloud.
These tools give you greater flexibility for managing and protecting important business applications.
Chris Lemmons
Director, EIS Technical Marketing, NetApp
If your organization runs databases such as Microsoft SQL Server and Oracle DB, you probably know that these vendors primarily license their products on a "per-core" basis. Microsoft recently switched to "per-core" rather than "per-socket" licensing for SQL Server 2012 and 2014. This change can have a big impact on the total cost of operating a database, especially as core counts on new servers continue to climb. It turns out that the right storage infrastructure can drive down database costs, increase productivity, and put your infrastructure back in balance.
In many customer environments, NetApp has noticed that server CPU utilization is low—often on the order of just 20%. This is usually the result of I/O bottlenecks. Server cores have to sit and wait for I/O from hard disk drives (HDDs). We've been closely studying the impact of all-flash storage on SQL Server environments that use HDD-based storage systems. NetApp® All Flash FAS platform delivers world-class performance for SQL Server plus the storage efficiency, application integration, nondisruptive operations, and data protection of clustered Data ONTAP®, making it ideal for SQL Server environments.
Tests show that All Flash FAS can drive up IOPS and database server CPU utilization by as much as 4x. And with a 95% reduction in latency, you can achieve this level of performance with half as many servers. This reduces the number of servers you need and the number of cores you have to license, driving down costs by 50% or more and paying back your investment in flash in as little as six months.
Figure 1) NetApp All Flash FAS increases CPU utilization on your SQL Server database servers, lowering costs.
Source: NetApp, 2015
Whether you're running one of the newer versions of SQL Server or facing an upgrade of an earlier version, you can't afford not to take a second look at your storage environment.
End of Support for Microsoft SQL Server 2005 is Rapidly Approaching
Microsoft has set the end of extended support for SQL Server 2005 for April 2016—less than a year away. With support for Microsoft Windows 2003 ending in July 2015, time may already be running short.
If you're running Windows Server 2003, new server hardware is almost certainly needed when you upgrade SQL Server. Evaluate your server and storage options now to get costs under control.
Test Methodology
To test the impact of flash on SQL Server performance, we replaced a legacy HDD-based storage system with an All Flash FAS AFF8080 EX. The legacy system was configured with almost 150 HDDs, a typical configuration for HDD storage supporting SQL Server. The AFF8080 EX used just 48 SSDs.
Table 1) Components used in testing.
Test Configuration Components
Details
SQL Server 2014 servers
Fujitsu RX300
Server operating system
Microsoft Windows 2012 R2 Standard Edition
SQL Server database version
Microsoft SQL Server 2014 Enterprise Edition
Processors per server
2 6-core Xeon E5-2630 at 2.30 GHz
Fibre channel network
8Gb FC with multipathing
Storage controller
AFF8080 EX
Data ONTAP version
Clustered Data ONTAP® 8.3.1
Drive number and type
48 SSD
Source: NetApp, 2015
The test configuration consisted of 10 database servers connected through fibre channel to both the legacy storage system and the AFF8080 EX. Each of the 10 servers ran SQL Server 2014 Enterprise Edition.
The publicly available HammerDB workload generator was used to drive an OLTP-like workload simultaneously from each of the 10 database servers to storage. We first directed the workload to the legacy storage array to establish a baseline, increasing the load to the point where read latency consistently exceeded 20ms.
That workload was then directed at the AFF8080 EX. The change in storage resulted in an overall 20x reduction in read latency, a greater than 4x improvement in IOPS, and a greater than 4x improvement in database server CPU utilization.
Figure 2) NetApp All Flash FAS increases IOPS and server CPU utilization and lowers latency.
Source: NetApp, 2015
In other words, the database servers are able to process four times as many IOPS with dramatically lower latency. CPU utilization goes up accordingly because the servers are processing 4x the work per unit time.
The All Flash FAS system still had additional headroom under this load.
Calculating the Savings
Let's look at what this performance improvement means for the total cost of running SQL Server 2014 over a 3-year period. To do the analysis we used NetApp Realize, a storage modeling and financial analysis tool designed to help quantify the value of NetApp solutions and products. NetApp sales teams and partners use this tool to assist with return on investment (ROI) calculations.
The calculation includes the cost of the AFF8080 EX, eliminates the costs associated with the existing storage system, and cuts the total number of database servers from 10 to five. This reduces SQL Server licensing costs by 50%. The same workload was run with five servers and achieved the same results. ROI analysis is summarized in Table 2.
Table 2) ROI from replacing an HDD-based storage system with All Flash FAS, thereby cutting server and licensing costs in half.
Value
Analysis Results
ROI
65%
Net present value (NPV)
$950,000
Payback period
six months
Total cost reduction
More than $1 million saved over a 3-year analysis period compared to the legacy storage system
Savings on power, space, and administration
$40,000
Additional savings due to nondisruptive operations benefits (not included in ROI)
$90,000
Source: NetApp, 2015
The takeaway here is that you can replace your existing storage with All Flash FAS and get a big performance bump while substantially reducing your costs, with the majority of the savings derived from the reduction in SQL Server licensing costs.
Replace your existing storage with All Flash FAS and get a big performance bump while substantially reducing your costs.
Maximum SQL Server 2014 Performance
In addition to the ROI analysis, we also measured the maximum performance of the AFF8080 EX with SQL Server 2014. A load-generation tool was used to simulate an industry-standard TPC-E OLTP workload against an SQL Server 2014 test configuration.
A two-node AFF8080 EX achieved a maximum throughput of 322K IOPS at just over 1ms latency. For all points other than the maximum load point, latency was consistently under 1ms and remained under 0.8ms up to 180K IOPS.
Data Reduction and Storage Efficiency
In addition to performance testing, we looked at the overall storage efficiency savings of our SQL Server database implementation. The degree of compression that can be achieved is dependent on the actual data that is written and stored in the database. For this environment, inline compression was effective. Deduplication, as is often the case in database environments, provided little additional storage savings and was not enabled.
For the test data used in the maximum performance test, we measured a compression ratio of 1.5:1. We also tested inline compression on a production SQL Server 2014 data set to further validate these results and saw a 1.8:1 compression ratio.
Space-efficient NetApp Snapshot® copies provide additional storage efficiency benefits for database environments. Unlike snapshot methods that use copy-on-write, there is no performance penalty; unlike full mirror copies, NetApp Snapshot copies use storage space sparingly. Snapshot copies only consume a small amount of storage space for metadata and additional incremental space is consumed as block-level changes occur. In a typical real-world SQL Server deployment on NetApp storage, database volume Snapshot copies are made every two hours.
First introduced more than 10 years ago, NetApp FlexClone® technology also plays an important role in SQL Server environments. Clones are fully writable, and, similar to Snapshot copies, only consume incremental storage capacity. With FlexClone, you can create as many copies of production data as you need for development and test, reporting, and so on. Cloning is a great way to support the development and test work needed when upgrading from an earlier version of SQL Server. You'll sometimes see these types of capabilities referred to as "copy data management."
A Better Way to Run Enterprise Applications
The performance benefits that all-flash storage can deliver for database environments are significant: more IOPS, lower latency, and an end to near-constant performance tuning.
If you think the performance acceleration that comes with all-flash storage is cost prohibitive, think again. All Flash FAS doesn't just deliver a performance boost, it changes the economics of your operations, paying for itself with thousands in savings on licensing and server costs. In terms of dollars per IOPS, All Flash FAS is extremely economical relative to HDD.
And, because All Flash FAS runs NetApp clustered Data ONTAP, it delivers the most complete environment to support SQL Server and all your enterprise applications with capabilities that include comprehensive storage efficiency, integrated data protection, and deep integration for your applications.
For complete details on this testing look for NetApp TR-4303, which will be available in a few weeks. Stay tuned to Tech OnTap for more information as NetApp continues to run benchmarks with important server workloads including Oracle DB and server virtualization.
Learn more about NetApp solutions for SQL Server and NetApp All-flash solutions.
Quick Links
Tech OnTap Community
Archive
PDFMay 2015
Explore
The Buzz from Microsoft Ignite 2015
NetApp was in full force at the recent Microsoft Ignite show in Chicago, talking about solutions for hybrid cloud, and our proven solutions for Microsoft SQL Server and other Microsoft applications.
Hot topics at the NetApp booth included:
OnCommand® Shift. A revolutionary technology that lets you move virtual machines back and forth between VMware and Hyper-V environments in minutes.
Azure Site Recovery to NetApp Private Storage. Replicate on-premises SAN-based applications to NPS for disaster recovery in the Azure cloud.
These tools give you greater flexibility for managing and protecting important business applications.
Chris Lemmons
Director, EIS Technical Marketing, NetApp
If your organization runs databases such as Microsoft SQL Server and Oracle DB, you probably know that these vendors primarily license their products on a "per-core" basis. Microsoft recently switched to "per-core" rather than "per-socket" licensing for SQL Server 2012 and 2014. This change can have a big impact on the total cost of operating a database, especially as core counts on new servers continue to climb. It turns out that the right storage infrastructure can drive down database costs, increase productivity, and put your infrastructure back in balance.
In many customer environments, NetApp has noticed that server CPU utilization is low—often on the order of just 20%. This is usually the result of I/O bottlenecks. Server cores have to sit and wait for I/O from hard disk drives (HDDs). We've been closely studying the impact of all-flash storage on SQL Server environments that use HDD-based storage systems. NetApp® All Flash FAS platform delivers world-class performance for SQL Server plus the storage efficiency, application integration, nondisruptive operations, and data protection of clustered Data ONTAP®, making it ideal for SQL Server environments.
Tests show that All Flash FAS can drive up IOPS and database server CPU utilization by as much as 4x. And with a 95% reduction in latency, you can achieve this level of performance with half as many servers. This reduces the number of servers you need and the number of cores you have to license, driving down costs by 50% or more and paying back your investment in flash in as little as six months.
Figure 1) NetApp All Flash FAS increases CPU utilization on your SQL Server database servers, lowering costs.
Source: NetApp, 2015
Whether you're running one of the newer versions of SQL Server or facing an upgrade of an earlier version, you can't afford not to take a second look at your storage environment.
End of Support for Microsoft SQL Server 2005 is Rapidly Approaching
Microsoft has set the end of extended support for SQL Server 2005 for April 2016—less than a year away. With support for Microsoft Windows 2003 ending in July 2015, time may already be running short.
If you're running Windows Server 2003, new server hardware is almost certainly needed when you upgrade SQL Server. Evaluate your server and storage options now to get costs under control.
Test Methodology
To test the impact of flash on SQL Server performance, we replaced a legacy HDD-based storage system with an All Flash FAS AFF8080 EX. The legacy system was configured with almost 150 HDDs, a typical configuration for HDD storage supporting SQL Server. The AFF8080 EX used just 48 SSDs.
Table 1) Components used in testing.
Test Configuration Components
Details
SQL Server 2014 servers
Fujitsu RX300
Server operating system
Microsoft Windows 2012 R2 Standard Edition
SQL Server database version
Microsoft SQL Server 2014 Enterprise Edition
Processors per server
2 6-core Xeon E5-2630 at 2.30 GHz
Fibre channel network
8Gb FC with multipathing
Storage controller
AFF8080 EX
Data ONTAP version
Clustered Data ONTAP® 8.3.1
Drive number and type
48 SSD
Source: NetApp, 2015
The test configuration consisted of 10 database servers connected through fibre channel to both the legacy storage system and the AFF8080 EX. Each of the 10 servers ran SQL Server 2014 Enterprise Edition.
The publicly available HammerDB workload generator was used to drive an OLTP-like workload simultaneously from each of the 10 database servers to storage. We first directed the workload to the legacy storage array to establish a baseline, increasing the load to the point where read latency consistently exceeded 20ms.
That workload was then directed at the AFF8080 EX. The change in storage resulted in an overall 20x reduction in read latency, a greater than 4x improvement in IOPS, and a greater than 4x improvement in database server CPU utilization.
Figure 2) NetApp All Flash FAS increases IOPS and server CPU utilization and lowers latency.
Source: NetApp, 2015
In other words, the database servers are able to process four times as many IOPS with dramatically lower latency. CPU utilization goes up accordingly because the servers are processing 4x the work per unit time.
The All Flash FAS system still had additional headroom under this load.
Calculating the Savings
Let's look at what this performance improvement means for the total cost of running SQL Server 2014 over a 3-year period. To do the analysis we used NetApp Realize, a storage modeling and financial analysis tool designed to help quantify the value of NetApp solutions and products. NetApp sales teams and partners use this tool to assist with return on investment (ROI) calculations.
The calculation includes the cost of the AFF8080 EX, eliminates the costs associated with the existing storage system, and cuts the total number of database servers from 10 to five. This reduces SQL Server licensing costs by 50%. The same workload was run with five servers and achieved the same results. ROI analysis is summarized in Table 2.
Table 2) ROI from replacing an HDD-based storage system with All Flash FAS, thereby cutting server and licensing costs in half.
Value
Analysis Results
ROI
65%
Net present value (NPV)
$950,000
Payback period
six months
Total cost reduction
More than $1 million saved over a 3-year analysis period compared to the legacy storage system
Savings on power, space, and administration
$40,000
Additional savings due to nondisruptive operations benefits (not included in ROI)
$90,000
Source: NetApp, 2015
The takeaway here is that you can replace your existing storage with All Flash FAS and get a big performance bump while substantially reducing your costs, with the majority of the savings derived from the reduction in SQL Server licensing costs.
Replace your existing storage with All Flash FAS and get a big performance bump while substantially reducing your costs.
Maximum SQL Server 2014 Performance
In addition to the ROI analysis, we also measured the maximum performance of the AFF8080 EX with SQL Server 2014. A load-generation tool was used to simulate an industry-standard TPC-E OLTP workload against an SQL Server 2014 test configuration.
A two-node AFF8080 EX achieved a maximum throughput of 322K IOPS at just over 1ms latency. For all points other than the maximum load point, latency was consistently under 1ms and remained under 0.8ms up to 180K IOPS.
Data Reduction and Storage Efficiency
In addition to performance testing, we looked at the overall storage efficiency savings of our SQL Server database implementation. The degree of compression that can be achieved is dependent on the actual data that is written and stored in the database. For this environment, inline compression was effective. Deduplication, as is often the case in database environments, provided little additional storage savings and was not enabled.
For the test data used in the maximum performance test, we measured a compression ratio of 1.5:1. We also tested inline compression on a production SQL Server 2014 data set to further validate these results and saw a 1.8:1 compression ratio.
Space-efficient NetApp Snapshot® copies provide additional storage efficiency benefits for database environments. Unlike snapshot methods that use copy-on-write, there is no performance penalty; unlike full mirror copies, NetApp Snapshot copies use storage space sparingly. Snapshot copies only consume a small amount of storage space for metadata and additional incremental space is consumed as block-level changes occur. In a typical real-world SQL Server deployment on NetApp storage, database volume Snapshot copies are made every two hours.
First introduced more than 10 years ago, NetApp FlexClone® technology also plays an important role in SQL Server environments. Clones are fully writable, and, similar to Snapshot copies, only consume incremental storage capacity. With FlexClone, you can create as many copies of production data as you need for development and test, reporting, and so on. Cloning is a great way to support the development and test work needed when upgrading from an earlier version of SQL Server. You'll sometimes see these types of capabilities referred to as "copy data management."
A Better Way to Run Enterprise Applications
The performance benefits that all-flash storage can deliver for database environments are significant: more IOPS, lower latency, and an end to near-constant performance tuning.
If you think the performance acceleration that comes with all-flash storage is cost prohibitive, think again. All Flash FAS doesn't just deliver a performance boost, it changes the economics of your operations, paying for itself with thousands in savings on licensing and server costs. In terms of dollars per IOPS, All Flash FAS is extremely economical relative to HDD.
And, because All Flash FAS runs NetApp clustered Data ONTAP, it delivers the most complete environment to support SQL Server and all your enterprise applications with capabilities that include comprehensive storage efficiency, integrated data protection, and deep integration for your applications.
For complete details on this testing look for NetApp TR-4303, which will be available in a few weeks. Stay tuned to Tech OnTap for more information as NetApp continues to run benchmarks with important server workloads including Oracle DB and server virtualization.
Learn more about NetApp solutions for SQL Server and NetApp All-flash solutions.
Quick Links
Tech OnTap Community
Archive
PDF -
CreateRow increases memory and cpu. Tomcat+ADF Faces+BC4J in JDev 10.1.3.0
CreateRow increases memory and cpu. Tomcat+ADF Faces+BC4J in JDev 10.1.3.0.4
My old problem is this Ineffectiveness/Inconsistency BC4J createrow in tomcat, CPU = 100%,Mem=2.2G
I have tested my Adf Faces application with jmx in server and, in my machine, jconsole and mc4j.
When cpu=100% and memory increases, jconsole constantly returned similar trace:
In all trace, I see that common is:
oracle.jbo.server.QueryCollection.populateRow(QueryCollection.java:2203)
oracle.jbo.server.QueryCollection.fetch(QueryCollection.java:2088)
Therefore, I believe that function populateRow make infinity loop (or fuction fech make infinity loop, called populateRow), but I don’t know populteRow or fetch code.
tomcat Version: 5.5.16
Jdeveloper Version: 10.1.3.0.4
Adf Business component Version: 10.1.3.36.73
Java version: 1.5.0_05
Please, any oracle ACE could help me?
When cpu=100% and memory increases, jconsole constantly returned any of these trace:
First trace
java.net.SocketOutputStream.socketWrite0(Native Method)
java.net.SocketOutputStream.socketWrite(SocketOutputStream.java:92)
java.net.SocketOutputStream.write(SocketOutputStream.java:136)
oracle.net.ns.DataPacket.send(Unknown Source)
oracle.net.ns.NetOutputStream.flush(Unknown Source)
oracle.net.ns.NetInputStream.getNextPacket(Unknown Source)
oracle.net.ns.NetInputStream.read(Unknown Source)
oracle.net.ns.NetInputStream.read(Unknown Source)
oracle.net.ns.NetInputStream.read(Unknown Source)
oracle.jdbc.driver.T4CMAREngine.unmarshalUB1(T4CMAREngine.java:979)
oracle.jdbc.driver.T4CMAREngine.unmarshalSB1(T4CMAREngine.java:951)
oracle.jdbc.driver.T4C8Oall.receive(T4C8Oall.java:448)
oracle.jdbc.driver.T4CPreparedStatement.doOall8(T4CPreparedStatement.java:185)
oracle.jdbc.driver.T4CPreparedStatement.fetch(T4CPreparedStatement.java:692)
oracle.jdbc.driver.OracleResultSetImpl.close_or_fetch_from_next(OracleResultSetImpl.java:258)
oracle.jdbc.driver.OracleResultSetImpl.next(OracleResultSetImpl.java:193)
oracle.jbo.server.QueryCollection.hasNextInResultSet(QueryCollection.java:3014)
oracle.jbo.server.ViewObjectImpl.hasNextForCollection(ViewObjectImpl.java:3650)
oracle.jbo.server.QueryCollection.hasNext(QueryCollection.java:2992)
oracle.jbo.server.QueryCollection.populateRow(QueryCollection.java:2207)
oracle.jbo.server.QueryCollection.fetch(QueryCollection.java:2088)
oracle.jbo.server.QueryCollection.get(QueryCollection.java:1468)
oracle.jbo.server.ViewRowSetImpl.getRow(ViewRowSetImpl.java:3650)
oracle.jbo.server.ViewRowSetImpl.getRow(ViewRowSetImpl.java:2612)
oracle.jbo.server.ViewObjectImpl.activateCurrentRow(ViewObjectImpl.java:12360)
oracle.jbo.server.ViewRowSetIteratorImpl.activateIteratorState(ViewRowSetIteratorImpl.java:3768)
oracle.jbo.server.ViewRowSetImpl.activateIteratorState(ViewRowSetImpl.java:4960)
oracle.jbo.server.ViewRowSetImpl.doCreateAndInitRow(ViewRowSetImpl.java:1901)
oracle.jbo.server.ViewRowSetImpl.createRow(ViewRowSetImpl.java:1891)
oracle.jbo.server.ViewObjectImpl.createRow(ViewObjectImpl.java:6555)
com.samesi.segestion.view.backing.app.Clientes.devoluciones_action(Clientes.java:1845)
sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
java.lang.reflect.Method.invoke(Method.java:585)
com.sun.faces.el.MethodBindingImpl.invoke(MethodBindingImpl.java:146)
com.sun.faces.application.ActionListenerImpl.processAction(ActionListenerImpl.java:92)
oracle.adf.view.faces.component.UIXCommand.broadcast(UIXCommand.java:211)
oracle.adf.view.faces.component.UIXCollection.broadcast(UIXCollection.java:94)
oracle.adf.view.faces.component.UIXTable.broadcast(UIXTable.java:205)
javax.faces.component.UIViewRoot.broadcastEvents(UIViewRoot.java:267)
javax.faces.component.UIViewRoot.processApplication(UIViewRoot.java:381)
com.sun.faces.lifecycle.InvokeApplicationPhase.execute(InvokeApplicationPhase.java:95)
com.sun.faces.lifecycle.LifecycleImpl.phase(LifecycleImpl.java:245)
com.sun.faces.lifecycle.LifecycleImpl.execute(LifecycleImpl.java:110)
javax.faces.webapp.FacesServlet._service_79(FacesServlet.java:197)
javax.faces.webapp.FacesServlet.service(FacesServlet.java)
org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:252)
org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:173)
oracle.adfinternal.view.faces.webapp.AdfFacesFilterImpl._invokeDoFilter(AdfFacesFilterImpl.java:367)
oracle.adfinternal.view.faces.webapp.AdfFacesFilterImpl._doFilterImpl(AdfFacesFilterImpl.java:336)
oracle.adfinternal.view.faces.webapp.AdfFacesFilterImpl.doFilter(AdfFacesFilterImpl.java:196)
oracle.adf.view.faces.webapp.AdfFacesFilter.doFilter(AdfFacesFilter.java:87)
org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:202)
org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:173)
oracle.adf.model.servlet.ADFBindingFilter.doFilter(ADFBindingFilter.java:332)
org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:202)
org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:173)
org.apache.catalina.core.StandardWrapperValve.invoke(StandardWrapperValve.java:213)
org.apache.catalina.core.StandardContextValve.invoke(StandardContextValve.java:178)
org.apache.catalina.authenticator.AuthenticatorBase.invoke(AuthenticatorBase.java:524)
org.apache.catalina.core.StandardHostValve.invoke(StandardHostValve.java:126)
org.apache.catalina.valves.ErrorReportValve.invoke(ErrorReportValve.java:105)
org.apache.catalina.core.StandardEngineValve.invoke(StandardEngineValve.java:107)
org.apache.catalina.connector.CoyoteAdapter.service(CoyoteAdapter.java:148)
org.apache.coyote.http11.Http11Processor.process(Http11Processor.java:869)
org.apache.coyote.http11.Http11BaseProtocol$Http11ConnectionHandler.processConnection(Http11BaseProtocol.java:664)
org.apache.tomcat.util.net.PoolTcpEndpoint.processSocket(PoolTcpEndpoint.java:527)
org.apache.tomcat.util.net.LeaderFollowerWorkerThread.runIt(LeaderFollowerWorkerThread.java:80)
org.apache.tomcat.util.threads.ThreadPool$ControlRunnable.run(ThreadPool.java:684)
java.lang.Thread.run(Thread.java:595)
Second trace
java.net.SocketInputStream.socketRead0(Native Method)
java.net.SocketInputStream.read(SocketInputStream.java:129)
oracle.net.ns.Packet.receive(Unknown Source)
oracle.net.ns.DataPacket.receive(Unknown Source)
oracle.net.ns.NetInputStream.getNextPacket(Unknown Source)
oracle.net.ns.NetInputStream.read(Unknown Source)
oracle.net.ns.NetInputStream.read(Unknown Source)
oracle.net.ns.NetInputStream.read(Unknown Source)
oracle.jdbc.driver.T4CMAREngine.unmarshalUB1(T4CMAREngine.java:979)
oracle.jdbc.driver.T4CMAREngine.unmarshalSB1(T4CMAREngine.java:951)
oracle.jdbc.driver.T4C8Oall.receive(T4C8Oall.java:448)
oracle.jdbc.driver.T4CPreparedStatement.doOall8(T4CPreparedStatement.java:185)
oracle.jdbc.driver.T4CPreparedStatement.fetch(T4CPreparedStatement.java:692)
oracle.jdbc.driver.OracleResultSetImpl.close_or_fetch_from_next(OracleResultSetImpl.java:258)
oracle.jdbc.driver.OracleResultSetImpl.next(OracleResultSetImpl.java:193)
oracle.jbo.server.QueryCollection.hasNextInResultSet(QueryCollection.java:3014)
oracle.jbo.server.ViewObjectImpl.hasNextForCollection(ViewObjectImpl.java:3650)
oracle.jbo.server.QueryCollection.hasNext(QueryCollection.java:2992)
oracle.jbo.server.QueryCollection.populateRow(QueryCollection.java:2207)
oracle.jbo.server.QueryCollection.fetch(QueryCollection.java:2088)
oracle.jbo.server.QueryCollection.get(QueryCollection.java:1468)
oracle.jbo.server.ViewRowSetImpl.getRow(ViewRowSetImpl.java:3650)
oracle.jbo.server.ViewRowSetImpl.getRow(ViewRowSetImpl.java:2612)
oracle.jbo.server.ViewObjectImpl.activateCurrentRow(ViewObjectImpl.java:12360)
oracle.jbo.server.ViewRowSetIteratorImpl.activateIteratorState(ViewRowSetIteratorImpl.java:3768)
oracle.jbo.server.ViewRowSetImpl.activateIteratorState(ViewRowSetImpl.java:4960)
oracle.jbo.server.ViewRowSetImpl.doCreateAndInitRow(ViewRowSetImpl.java:1901)
oracle.jbo.server.ViewRowSetImpl.createRow(ViewRowSetImpl.java:1891)
oracle.jbo.server.ViewObjectImpl.createRow(ViewObjectImpl.java:6555)
com.samesi.segestion.view.backing.app.Clientes.devoluciones_action(Clientes.java:1845)
sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
java.lang.reflect.Method.invoke(Method.java:585)
com.sun.faces.el.MethodBindingImpl.invoke(MethodBindingImpl.java:146)
com.sun.faces.application.ActionListenerImpl.processAction(ActionListenerImpl.java:92)
oracle.adf.view.faces.component.UIXCommand.broadcast(UIXCommand.java:211)
oracle.adf.view.faces.component.UIXCollection.broadcast(UIXCollection.java:94)
oracle.adf.view.faces.component.UIXTable.broadcast(UIXTable.java:205)
javax.faces.component.UIViewRoot.broadcastEvents(UIViewRoot.java:267)
javax.faces.component.UIViewRoot.processApplication(UIViewRoot.java:381)
com.sun.faces.lifecycle.InvokeApplicationPhase.execute(InvokeApplicationPhase.java:95)
com.sun.faces.lifecycle.LifecycleImpl.phase(LifecycleImpl.java:245)
com.sun.faces.lifecycle.LifecycleImpl.execute(LifecycleImpl.java:110)
javax.faces.webapp.FacesServlet._service_79(FacesServlet.java:197)
javax.faces.webapp.FacesServlet.service(FacesServlet.java)
org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:252)
org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:173)
oracle.adfinternal.view.faces.webapp.AdfFacesFilterImpl._invokeDoFilter(AdfFacesFilterImpl.java:367)
oracle.adfinternal.view.faces.webapp.AdfFacesFilterImpl._doFilterImpl(AdfFacesFilterImpl.java:336)
oracle.adfinternal.view.faces.webapp.AdfFacesFilterImpl.doFilter(AdfFacesFilterImpl.java:196)
oracle.adf.view.faces.webapp.AdfFacesFilter.doFilter(AdfFacesFilter.java:87)
org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:202)
org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:173)
oracle.adf.model.servlet.ADFBindingFilter.doFilter(ADFBindingFilter.java:332)
org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:202)
org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:173)
org.apache.catalina.core.StandardWrapperValve.invoke(StandardWrapperValve.java:213)
org.apache.catalina.core.StandardContextValve.invoke(StandardContextValve.java:178)
org.apache.catalina.authenticator.AuthenticatorBase.invoke(AuthenticatorBase.java:524)
org.apache.catalina.core.StandardHostValve.invoke(StandardHostValve.java:126)
org.apache.catalina.valves.ErrorReportValve.invoke(ErrorReportValve.java:105)
org.apache.catalina.core.StandardEngineValve.invoke(StandardEngineValve.java:107)
org.apache.catalina.connector.CoyoteAdapter.service(CoyoteAdapter.java:148)
org.apache.coyote.http11.Http11Processor.process(Http11Processor.java:869)
org.apache.coyote.http11.Http11BaseProtocol$Http11ConnectionHandler.processConnection(Http11BaseProtocol.java:664)
org.apache.tomcat.util.net.PoolTcpEndpoint.processSocket(PoolTcpEndpoint.java:527)
org.apache.tomcat.util.net.LeaderFollowerWorkerThread.runIt(LeaderFollowerWorkerThread.java:80)
org.apache.tomcat.util.threads.ThreadPool$ControlRunnable.run(ThreadPool.java:684)
java.lang.Thread.run(Thread.java:595)
Third trace
java.lang.System.arraycopy(Native Method)
com.sun.java.util.collections.ArrayList.toArray(ArrayList.java:287)
oracle.jbo.server.ViewDefImpl.getEntityReferences(ViewDefImpl.java:547)
oracle.jbo.server.ViewRowStorage.entityCacheAdd(ViewRowStorage.java:1730)
oracle.jbo.server.ViewRowImpl.entityCacheAdd(ViewRowImpl.java:2151)
oracle.jbo.server.ViewDefImpl.createInstanceFromResultSet(ViewDefImpl.java:1070)
oracle.jbo.server.ViewObjectImpl.createRowFromResultSet(ViewObjectImpl.java:2943)
oracle.jbo.server.ViewObjectImpl.createInstanceFromResultSet(ViewObjectImpl.java:2841)
oracle.jbo.server.QueryCollection.populateRow(QueryCollection.java:2203)
oracle.jbo.server.QueryCollection.fetch(QueryCollection.java:2088)
oracle.jbo.server.QueryCollection.get(QueryCollection.java:1468)
oracle.jbo.server.ViewRowSetImpl.getRow(ViewRowSetImpl.java:3650)
oracle.jbo.server.ViewRowSetImpl.getRow(ViewRowSetImpl.java:2594)
oracle.jbo.server.ViewObjectImpl.activateCurrentRow(ViewObjectImpl.java:12360)
oracle.jbo.server.ViewRowSetIteratorImpl.activateIteratorState(ViewRowSetIteratorImpl.java:3768)
oracle.jbo.server.ViewRowSetImpl.activateIteratorState(ViewRowSetImpl.java:4960)
oracle.jbo.server.ViewRowSetImpl.doCreateAndInitRow(ViewRowSetImpl.java:1901)
oracle.jbo.server.ViewRowSetImpl.createRow(ViewRowSetImpl.java:1891)
oracle.jbo.server.ViewObjectImpl.createRow(ViewObjectImpl.java:6555)
com.samesi.segestion.view.backing.app.Clientes.devoluciones_action(Clientes.java:1845)
sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
java.lang.reflect.Method.invoke(Method.java:585)
com.sun.faces.el.MethodBindingImpl.invoke(MethodBindingImpl.java:146)
com.sun.faces.application.ActionListenerImpl.processAction(ActionListenerImpl.java:92)
oracle.adf.view.faces.component.UIXCommand.broadcast(UIXCommand.java:211)
oracle.adf.view.faces.component.UIXCollection.broadcast(UIXCollection.java:94)
oracle.adf.view.faces.component.UIXTable.broadcast(UIXTable.java:205)
javax.faces.component.UIViewRoot.broadcastEvents(UIViewRoot.java:267)
javax.faces.component.UIViewRoot.processApplication(UIViewRoot.java:381)
com.sun.faces.lifecycle.InvokeApplicationPhase.execute(InvokeApplicationPhase.java:95)
com.sun.faces.lifecycle.LifecycleImpl.phase(LifecycleImpl.java:245)
com.sun.faces.lifecycle.LifecycleImpl.execute(LifecycleImpl.java:110)
javax.faces.webapp.FacesServlet._service_79(FacesServlet.java:197)
javax.faces.webapp.FacesServlet.service(FacesServlet.java)
org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:252)
org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:173)
oracle.adfinternal.view.faces.webapp.AdfFacesFilterImpl._invokeDoFilter(AdfFacesFilterImpl.java:367)
oracle.adfinternal.view.faces.webapp.AdfFacesFilterImpl._doFilterImpl(AdfFacesFilterImpl.java:336)
oracle.adfinternal.view.faces.webapp.AdfFacesFilterImpl.doFilter(AdfFacesFilterImpl.java:196)
oracle.adf.view.faces.webapp.AdfFacesFilter.doFilter(AdfFacesFilter.java:87)
org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:202)
org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:173)
oracle.adf.model.servlet.ADFBindingFilter.doFilter(ADFBindingFilter.java:332)
org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:202)
org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:173)
org.apache.catalina.core.StandardWrapperValve.invoke(StandardWrapperValve.java:213)
org.apache.catalina.core.StandardContextValve.invoke(StandardContextValve.java:178)
org.apache.catalina.authenticator.AuthenticatorBase.invoke(AuthenticatorBase.java:524)
org.apache.catalina.core.StandardHostValve.invoke(StandardHostValve.java:126)
org.apache.catalina.valves.ErrorReportValve.invoke(ErrorReportValve.java:105)
org.apache.catalina.core.StandardEngineValve.invoke(StandardEngineValve.java:107)
org.apache.catalina.connector.CoyoteAdapter.service(CoyoteAdapter.java:148)
org.apache.coyote.http11.Http11Processor.process(Http11Processor.java:869)
org.apache.coyote.http11.Http11BaseProtocol$Http11ConnectionHandler.processConnection(Http11BaseProtocol.java:664)
org.apache.tomcat.util.net.PoolTcpEndpoint.processSocket(PoolTcpEndpoint.java:527)
org.apache.tomcat.util.net.LeaderFollowerWorkerThread.runIt(LeaderFollowerWorkerThread.java:80)
org.apache.tomcat.util.threads.ThreadPool$ControlRunnable.run(ThreadPool.java:684)
java.lang.Thread.run(Thread.java:595)
Fourth (and end) trace
oracle.sql.NUMBER.toBigDecimal(NUMBER.java:715)
oracle.sql.NUMBER.bigDecimalValue(NUMBER.java:2080)
oracle.jbo.domain.Number.bigDecimalValue(Number.java:551)
oracle.jbo.domain.Number.hashCode(Number.java:431)
oracle.jbo.Key.hashCode(Key.java:384)
oracle.jbo.common.WeakHashtableImpl.get(WeakHashtableImpl.java:195)
oracle.jbo.common.WeakHashtable.get(WeakHashtable.java:98)
oracle.jbo.server.EntityCache.add(EntityCache.java:327)
oracle.jbo.server.ViewRowStorage.entityCacheAdd(ViewRowStorage.java:1762)
oracle.jbo.server.ViewRowImpl.entityCacheAdd(ViewRowImpl.java:2151)
oracle.jbo.server.ViewDefImpl.createInstanceFromResultSet(ViewDefImpl.java:1070)
oracle.jbo.server.ViewObjectImpl.createRowFromResultSet(ViewObjectImpl.java:2943)
oracle.jbo.server.ViewObjectImpl.createInstanceFromResultSet(ViewObjectImpl.java:2841)
oracle.jbo.server.QueryCollection.populateRow(QueryCollection.java:2203)
oracle.jbo.server.QueryCollection.fetch(QueryCollection.java:2088)
oracle.jbo.server.QueryCollection.get(QueryCollection.java:1468)
oracle.jbo.server.ViewRowSetImpl.getRow(ViewRowSetImpl.java:3650)
oracle.jbo.server.ViewRowSetImpl.getRow(ViewRowSetImpl.java:2594)
oracle.jbo.server.ViewObjectImpl.activateCurrentRow(ViewObjectImpl.java:12360)
oracle.jbo.server.ViewRowSetIteratorImpl.activateIteratorState(ViewRowSetIteratorImpl.java:3768)
oracle.jbo.server.ViewRowSetImpl.activateIteratorState(ViewRowSetImpl.java:4960)
oracle.jbo.server.ViewRowSetImpl.doCreateAndInitRow(ViewRowSetImpl.java:1901)
oracle.jbo.server.ViewRowSetImpl.createRow(ViewRowSetImpl.java:1891)
oracle.jbo.server.ViewObjectImpl.createRow(ViewObjectImpl.java:6555)
com.samesi.segestion.view.backing.app.Clientes.devoluciones_action(Clientes.java:1845)
sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
java.lang.reflect.Method.invoke(Method.java:585)
com.sun.faces.el.MethodBindingImpl.invoke(MethodBindingImpl.java:146)
com.sun.faces.application.ActionListenerImpl.processAction(ActionListenerImpl.java:92)
oracle.adf.view.faces.component.UIXCommand.broadcast(UIXCommand.java:211)
oracle.adf.view.faces.component.UIXCollection.broadcast(UIXCollection.java:94)
oracle.adf.view.faces.component.UIXTable.broadcast(UIXTable.java:205)
javax.faces.component.UIViewRoot.broadcastEvents(UIViewRoot.java:267)
javax.faces.component.UIViewRoot.processApplication(UIViewRoot.java:381)
com.sun.faces.lifecycle.InvokeApplicationPhase.execute(InvokeApplicationPhase.java:95)
com.sun.faces.lifecycle.LifecycleImpl.phase(LifecycleImpl.java:245)
com.sun.faces.lifecycle.LifecycleImpl.execute(LifecycleImpl.java:110)
javax.faces.webapp.FacesServlet._service_79(FacesServlet.java:197)
javax.faces.webapp.FacesServlet.service(FacesServlet.java)
org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:252)
org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:173)
oracle.adfinternal.view.faces.webapp.AdfFacesFilterImpl._invokeDoFilter(AdfFacesFilterImpl.java:367)
oracle.adfinternal.view.faces.webapp.AdfFacesFilterImpl._doFilterImpl(AdfFacesFilterImpl.java:336)
oracle.adfinternal.view.faces.webapp.AdfFacesFilterImpl.doFilter(AdfFacesFilterImpl.java:196)
oracle.adf.view.faces.webapp.AdfFacesFilter.doFilter(AdfFacesFilter.java:87)
org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:202)
org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:173)
oracle.adf.model.servlet.ADFBindingFilter.doFilter(ADFBindingFilter.java:332)
org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:202)
org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:173)
org.apache.catalina.core.StandardWrapperValve.invoke(StandardWrapperValve.java:213)
org.apache.catalina.core.StandardContextValve.invoke(StandardContextValve.java:178)
org.apache.catalina.authenticator.AuthenticatorBase.invoke(AuthenticatorBase.java:524)
org.apache.catalina.core.StandardHostValve.invoke(StandardHostValve.java:126)
org.apache.catalina.valves.ErrorReportValve.invoke(ErrorReportValve.java:105)
org.apache.catalina.core.StandardEngineValve.invoke(StandardEngineValve.java:107)
org.apache.catalina.connector.CoyoteAdapter.service(CoyoteAdapter.java:148)
org.apache.coyote.http11.Http11Processor.process(Http11Processor.java:869)
org.apache.coyote.http11.Http11BaseProtocol$Http11ConnectionHandler.processConnection(Http11BaseProtocol.java:664)
org.apache.tomcat.util.net.PoolTcpEndpoint.processSocket(PoolTcpEndpoint.java:527)
org.apache.tomcat.util.net.LeaderFollowerWorkerThread.runIt(LeaderFollowerWorkerThread.java:80)
org.apache.tomcat.util.threads.ThreadPool$ControlRunnable.run(ThreadPool.java:684)
java.lang.Thread.run(Thread.java:595)Tranks,I continued researching. When my server gain cpu and memory in Catalina.out, I can to see this output:
Feb 28, 2008 10:25:53 AM oracle.adf.view.faces.webcache.component.UICache encodeBegin
INFO: fragment is Facturacion.jspx:_id3
Feb 28, 2008 10:25:53 AM oracle.adf.view.faces.webcache.component.UICache getFragmentFromCache
INFO: fragment (Facturacion.jspx:_id3) fetch: cache miss
Feb 28, 2008 10:25:53 AM oracle.adf.view.faces.webcache.component.UICache insertFragmentInCache
INFO: fragment (Facturacion.jspx:_id3) insert: cached for 864000 secs
Feb 28, 2008 10:25:53 AM oracle.adf.view.faces.webcache.component.UICache encodeBegin
INFO: fragment is Facturacion.jspx:_id4
Feb 28, 2008 10:25:53 AM oracle.adf.view.faces.webcache.component.UICache getFragmentFromCache
INFO: fragment (Facturacion.jspx:_id4) fetch: cache missIn this example, I belive that user is resuming the Facturacion.jspx page. In my code I have this line:
It’s corresponding to menu.
I have looking this documentation:
http://download.oracle.com/docs/html/B25947_01/web_cache002.htm
In this documentation, first access, the cache miss, but the following times the cache could hit. . When my server gain cpu and memory I look that the following times the cache always miss in all pages. Subsequently tomcat no reply and the malicious thread, execute Armageddon trace. This behavior of the cache is strange, right?
I’m sure that I’m making anything that fetch in queryCollection make big loop.
I have redefining getRangeSize and CurrentRow of my CustomViewObject (all viewOjects about my applications extends CustomViewObject and CustomViewObject extends viewObject) and I looked correct rangesize (not -1). I got system.out.println(getFetchedRowCount()) in createRow and obtain 13 or 15. I belive that It’s correct.
Another example of problematic trace is (in this case is in preparemodel):
com.sun.java.util.collections.ArrayList.indexOf(ArrayList.java:201)
com.sun.java.util.collections.ArrayList.contains(ArrayList.java:183)
oracle.jbo.server.ViewRowCache.addWithCheck(ViewRowCache.java:351)
oracle.jbo.server.ViewRowCache.add(ViewRowCache.java:409)
oracle.jbo.server.QueryCollection.addRowToColl(QueryCollection.java:2069)
oracle.jbo.server.QueryCollection.fetch(QueryCollection.java:2111)
oracle.jbo.server.QueryCollection.get(QueryCollection.java:1468)
oracle.jbo.server.ViewRowSetImpl.getRow(ViewRowSetImpl.java:3650)
oracle.jbo.server.ViewRowSetImpl.getRow(ViewRowSetImpl.java:2612)
oracle.jbo.server.ViewObjectImpl.activateCurrentRow(ViewObjectImpl.java:12360)
oracle.jbo.server.ViewRowSetIteratorImpl.activateIteratorState(ViewRowSetIteratorImpl.java:3768)
oracle.jbo.server.ViewRowSetIteratorImpl.getRangeSize(ViewRowSetIteratorImpl.java:627)
oracle.jbo.server.ViewRowSetImpl.getRangeSize(ViewRowSetImpl.java:2251)
oracle.jbo.server.ViewObjectImpl.getRangeSize(ViewObjectImpl.java:6065)
oracle.adf.model.binding.DCIteratorBinding.initSourceRSI(DCIteratorBinding.java:1549)
oracle.adf.model.binding.DCIteratorBinding.callInitSourceRSI(DCIteratorBinding.java:1420)
oracle.adf.model.binding.DCIteratorBinding.getRowSetIterator(DCIteratorBinding.java:1403)
oracle.adf.model.binding.DCIteratorBinding.setRangeSize(DCIteratorBinding.java:2641)
oracle.adf.model.binding.DCBindingContainer.internalRefreshControl(DCBindingContainer.java:2484)
oracle.adf.model.binding.DCBindingContainer.refresh(DCBindingContainer.java:2257)
oracle.adf.controller.v2.lifecycle.PageLifecycleImpl.prepareModel(PageLifecycleImpl.java:104)
com.samesi.segestion.view.frameworkExt.SegestionPageLifecycle.prepareModel(SegestionPageLifecycle.java:354)
oracle.adf.controller.v2.lifecycle.Lifecycle$8.execute(Lifecycle.java:210)
oracle.adf.controller.v2.lifecycle.Lifecycle.executePhase(Lifecycle.java:116)
oracle.adf.controller.faces.lifecycle.ADFPhaseListener.mav$executePhase(ADFPhaseListener.java)
oracle.adf.controller.faces.lifecycle.ADFPhaseListener$4.after(ADFPhaseListener.java:331)
oracle.adf.controller.faces.lifecycle.ADFPhaseListener.afterPhase(ADFPhaseListener.java:97)
com.sun.faces.lifecycle.LifecycleImpl.phase(LifecycleImpl.java:254)
com.sun.faces.lifecycle.LifecycleImpl.execute(LifecycleImpl.java:110)
javax.faces.webapp.FacesServlet.service(FacesServlet.java:197)
org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:252)
org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:173)
oracle.adfinternal.view.faces.webapp.AdfFacesFilterImpl._invokeDoFilter(AdfFacesFilterImpl.java:367)
oracle.adfinternal.view.faces.webapp.AdfFacesFilterImpl._doFilterImpl(AdfFacesFilterImpl.java:336)
oracle.adfinternal.view.faces.webapp.AdfFacesFilterImpl.doFilter(AdfFacesFilterImpl.java:196)
oracle.adf.view.faces.webapp.AdfFacesFilter.doFilter(AdfFacesFilter.java:87)
org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:202)
org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:173)
oracle.adf.model.servlet.ADFBindingFilter.doFilter(ADFBindingFilter.java:332)
org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:202)
org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:173)
org.apache.catalina.core.StandardWrapperValve.invoke(StandardWrapperValve.java:213)
org.apache.catalina.core.StandardContextValve.invoke(StandardContextValve.java:178)
org.apache.catalina.authenticator.AuthenticatorBase.invoke(AuthenticatorBase.java:524)
org.apache.catalina.core.StandardHostValve.invoke(StandardHostValve.java:126)
org.apache.catalina.valves.ErrorReportValve.invoke(ErrorReportValve.java:105)
org.apache.catalina.core.StandardEngineValve.invoke(StandardEngineValve.java:107)
org.apache.catalina.connector.CoyoteAdapter.service(CoyoteAdapter.java:148)
org.apache.coyote.http11.Http11Processor.process(Http11Processor.java:869)
org.apache.coyote.http11.Http11BaseProtocol$Http11ConnectionHandler.processConnection(Http11BaseProtocol.java:664)
org.apache.tomcat.util.net.PoolTcpEndpoint.processSocket(PoolTcpEndpoint.java:527)
org.apache.tomcat.util.net.LeaderFollowerWorkerThread.runIt(LeaderFollowerWorkerThread.java:80)
org.apache.tomcat.util.threads.ThreadPool$ControlRunnable.run(ThreadPool.java:684)
java.lang.Thread.run(Thread.java:595)Thanks, -
External Boot drive and time machine?
Been away from the mac/s for awhile... Just recieved my new mac mini hooked up to an external drive, in this case a very nice mini stack V2 with 500GB and more importantly 7200RPM drive. When I first turned on Leopard I of course designated the external drive as my backup for time machine.
That done can I still use the external drive as a bootable drive? I want to gain the increase in performance from that hard drive by doing so.
If YES I just install my OS on to that drive and then once done select it as my boot drive in system preferences? Any help appreciated.I'm not sure you would want to have a backup to the same drive you boot the system from, and Time Machine won't give you the option to select the same partition your boot copy of MacOS is in. You may be able to repartition the drive into two (or more) logical drives and do it that way, but realistically to get the best performance from the system you'd probably want to use the external not just as the boot drive, but also for data storage. That being so, you clearly wouldn't gain any real benefit backing up to the same drive even if you could do so, so you might perhaps instead designate the mini's internal drive for Time Machine use, or add a second external and designate that.
-
the iphone 4s came with a weather and a stock widget. these could be configured in notifications to CONSTANTLY display stock prices and the days weather whenever you pulled down the notification window. the ipad2 doesn't have these programs and i have spend a small fortune and time looking for this same feature. does anyone out there know off a weather and stock program that will let you program stocks into the notification window and then stream the stocks and prices acrossthe screen continously when you open the notification window. Also does anyone know of a weather program that will display the days current conditions ALL THE TIME, not just when the wind picks up or it snows.
the ipad2 doesn't have these built in programs and i can't find similiar ones in the app store.
Thanks for your help.
[email protected]I have this question too. Have you had any replies?
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Up until now the date and time has been displayed on the menu bar as...
Tuesday, November 28, 2006 8:09 AM
Now, for some reason, it's being displayed as...
Tue 8:09 AM
Here's what I've tried in trying to restore the format...
1) System Preferences > Menu Bar Clock > Show Date and Time in Menu Bar
2) Deleted the following preference files:
com.apple.MenuBarClock.plist
com.apple.systempreferences.plist
com.apple.systemuiserver.plist
Does anyone know how I can restore the format?
Thanks!
eMac Mac OS X (10.2.x) 128 MB, 700 MHz PowerPC G4It looks like there can be as little
as 6 or so characters between the two sets of
icons
That sounds low, especially in
the Finder, even at the lower screen resolutions. I
just played with stepping down resolutions on this
Mac, and various right-side icons (the CoreServices
eject.menu, Display, Classic, and sound icons, plus
those from MenuMeters) disappeared
before the date and time (shown as "Tue 28 Nov, 04:00
PM" were affected (right-side menu items are
truncated from left to right).
In my case, just the date disappeared. So instead of seeing...
Tue November 28, 2006 5:43 PM
...I was seeing...
Tue 5:43 PM
The icons to the left (on the right side icons) were still there and unaffected.
What Display
resolution do you normally use?
It's set at 1024 X 768.
Does the time&date
format go back to the expected form if you increase
resolution to maximum as a test? If the format
affected by starting up in Safe Mode?
After trying the remedy you reference in your previous post, the format is back to where it was so I won't be able to test it. But I guess you suspect that the Date and Time was truncated because there wasn't enough space between the left side and right side icons, is this right? It would seem like a logical explanation... -
Why do I get iMessage failed update date and time in settings
My iphone5 keeps changing it time zone on it's own and I keep getting a notification in messages saying iMessage failed update your date and time in settings. I have update it several times and it's keep doing it. Now it's just frustrating. How can I take care of this problem for good.
I have also been getting the message ever since I got my iPhone 5 on September 12. I have to reboot the phone to fix the problem or turn the "Set Automatically" off and then back on. This is a glitch likely with Apple's iOS software, but my Verizon store said that have received numerous complaints on this issue, but no patch has been released for it as of yet.
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Hi EXPERTS,
In notification when we change user status, system logs date and time in action log
I want to know in which table does user status date and time can be found.
Regards
Anil KumarAnil Kumar,
I'm not a t a system right now, but have a look at JEST and JCDS.
PeteA -
My new Nokia Lumia 800 changes date and time after...
When i switch off and on my Nokia Lumia 800, date and time changes: from 2 september 2012 8.00 to 2 march 2013 14.00. I need help to understand this strange problem and find a solution.
chrysale wrote:
I had the same problem with my Lumia 800. The Lumia 800 kept changing time and date as soon as I switched it off and turned it back on. In my case, doing a HARD RESET helped to fix this. BEWARE! You will lose all your data!
Switch off your phone, hold Volume Down, Power, Camera buttons down. Switch phone on. As soon as it vibrates, release Power button, keep Volume Down and Camera button pressed for a few seconds.
I have the same problem and after going through all the various support sites- Nokia, O2, and endless forums I was told the same thing "Make sure your auto-update for date and time is switched to automatic" But after telling them I don't know how many times that my Lumia 800 didn't have this option, only a 24 hours switch I was told there was nothing that could be done. However I appear to have sorted it out myself. The problem appears to be (or on my phone at least) is wi-fi connection, before I turn my phone off I have to disconnect from wi-fi and when I turn the phone back on the date and time stays corrected.
When I set the date and time manually (for the 3000th time!!) I held in the power button until the slide down close screen disappeared then released it and the phone restarts, then I done it again- same proceedure just to be sure and ever since the date and time has stayed correct. BUT BE SURE TO TURN OFF WI-FI BEFORE SWITCHING PHONE OFF. Hope this helps
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