Performance degradation: unfetched field [PublishingPageContent] caused extra roundtrip
Hi All,
I am facing some serious application pool crash in one of my customer's Production site SharePoint servers. The Application Error logs in the event Viewer says -
Faulting application name: w3wp.exe, version: 7.5.7601.17514, time stamp: 0x4ce7afa2
Faulting module name: ntdll.dll, version: 6.1.7601.17514, time stamp: 0x4ce7c8f9
Exception code: 0xc0000374
Fault offset: 0x00000000000c40f2
Faulting process id: 0x1414
Faulting application start time: 0x01ce5edada76109d
Faulting application path: c:\windows\system32\inetsrv\w3wp.exe
Faulting module path: C:\Windows\SYSTEM32\ntdll.dll
Report Id: 5a69ec1e-cace-11e2-9be2-441ea13bf8be
At the same time the SharePoint ULS logs says -
1)
06/13/2013 03:44:29.53 w3wp.exe (0x0808) 0x2DF0 SharePoint Foundation
General 8e2s
Medium Unknown SPRequest error occurred. More information: 0x80070005 8b343224-4aa6-490c-8a2a-ce06ac160773
06/13/2013 03:44:35.03 w3wp.exe (0x0808) 0x2DF0 SharePoint Foundation
General
8e25 Medium Failed to look up string with key "FSAdmin_SiteSettings_UserContextManagement_ToolTip", keyfile Microsoft.Office.Server.Search.
8b343224-4aa6-490c-8a2a-ce06ac160773
06/13/2013 03:44:35.03 w3wp.exe (0x0808) 0x2DF0 SharePoint Foundation
General 8l3c
Medium Localized resource for token 'FSAdmin_SiteSettings_UserContextManagement_ToolTip' could not be found for file with path: "C:\Program Files\Common Files\Microsoft Shared\Web
Server Extensions\14\Template\Features\SearchExtensions\ExtendedSearchAdminLinks.xml". 8b343224-4aa6-490c-8a2a-ce06ac160773
2)
06/13/2013 03:44:29.01 w3wp.exe (0x0808) 0x2DF0 SharePoint Foundation
Web Parts
emt4 High Error initializing Safe control - Assembly:Microsoft.Office.SharePoint.ClientExtensions, Version=14.0.0.0, Culture=neutral, PublicKeyToken=71e9bce111e9429c TypeName: Microsoft.Office.SharePoint.ClientExtensions.Publishing.TakeListOfflineRibbonControl
Error: Could not load type 'Microsoft.Office.SharePoint.ClientExtensions.Publishing.TakeListOfflineRibbonControl' from assembly 'Microsoft.Office.SharePoint.ClientExtensions, Version=14.0.0.0, Culture=neutral, PublicKeyToken=71e9bce111e9429c'.
8b343224-4aa6-490c-8a2a-ce06ac160773
06/13/2013 03:44:29.50 w3wp.exe (0x0808)
0x2DF0 SharePoint Foundation Logging Correlation Data
xmnv Medium Site=/ 8b343224-4aa6-490c-8a2a-ce06ac160773
3)
06/13/2013 03:43:59.67 w3wp.exe (0x263C) 0x24D8 SharePoint Foundation
Performance 9fx9
Medium Performance degradation: unfetched field [PublishingPageContent] caused extra roundtrip. at Microsoft.SharePoint.SPListItem.GetValue(SPField fld,
Int32 columnNumber, Boolean bRaw, Boolean bThrowException) at Microsoft.SharePoint.SPListItem.GetValue(String strName, Boolean bThrowException) at Microsoft.SharePoint.SPListItem.get_Item(String fieldName)
at Microsoft.SharePoint.WebControls.BaseFieldControl.get_ItemFieldValue() at Microsoft.SharePoint.Publishing.WebControls.RichHtmlField.RenderFieldForDisplay(HtmlTextWriter output) at Microsoft.SharePoint.WebControls.BaseFieldControl.Render(HtmlTextWriter
output) at Microsoft.SharePoint.Publishing.WebControls.BaseRichField.Render(HtmlTextWriter output) at Microsoft.SharePoint.Publishing.WebControls.RichHtmlField.R...
b8d0b8ca-8386-441f-8fce-d79fe72556e1
06/13/2013 03:43:59.67* w3wp.exe (0x263C)
0x24D8 SharePoint Foundation Performance
9fx9 Medium ...ender(HtmlTextWriter output) at System.Web.UI.Control.RenderChildrenInternal(HtmlTextWriter writer, ICollection
children) at System.Web.UI.Control.RenderChildrenInternal(HtmlTextWriter writer, ICollection children) at System.Web.UI.Control.RenderChildrenInternal(HtmlTextWriter writer, ICollection children)
at System.Web.UI.HtmlControls.HtmlContainerControl.Render(HtmlTextWriter writer) at System.Web.UI.Control.RenderChildrenInternal(HtmlTextWriter writer, ICollection children) at System.Web.UI.HtmlControls.HtmlForm.RenderChildren(HtmlTextWriter
writer) at System.Web.UI.HtmlControls.HtmlForm.Render(HtmlTextWriter output) at System.Web.UI.HtmlControls.HtmlForm.RenderControl(HtmlTextWriter writer) at System.Web.UI.Control.RenderChildrenInternal(HtmlTextWrit...
b8d0b8ca-8386-441f-8fce-d79fe72556e1
06/13/2013 03:43:59.67* w3wp.exe (0x263C)
0x24D8 SharePoint Foundation Performance
9fx9 Medium ...er writer, ICollection children) at System.Web.UI.Control.RenderChildrenInternal(HtmlTextWriter writer,
ICollection children) at System.Web.UI.Page.Render(HtmlTextWriter writer) at System.Web.UI.Page.ProcessRequestMain(Boolean includeStagesBeforeAsyncPoint, Boolean includeStagesAfterAsyncPoint)
at System.Web.UI.Page.ProcessRequest(Boolean includeStagesBeforeAsyncPoint, Boolean includeStagesAfterAsyncPoint) at System.Web.UI.Page.ProcessRequest() at System.Web.UI.Page.ProcessRequest(HttpContext context)
at Microsoft.SharePoint.Publishing.TemplateRedirectionPage.ProcessRequest(HttpContext context) at System.Web.HttpApplication.CallHandlerExecutionStep.System.Web.HttpApplication.IExecutionStep.Execute() at System.Web.HttpApplication.ExecuteStep(IExecutionSte...
b8d0b8ca-8386-441f-8fce-d79fe72556e1
06/13/2013 03:43:59.67* w3wp.exe (0x263C)
0x24D8 SharePoint Foundation Performance
9fx9 Medium ...p step, Boolean& completedSynchronously) at System.Web.HttpApplication.PipelineStepManager.ResumeSteps(Exception
error) at System.Web.HttpApplication.BeginProcessRequestNotification(HttpContext context, AsyncCallback cb) at System.Web.HttpRuntime.ProcessRequestNotificationPrivate(IIS7WorkerRequest wr, HttpContext context)
at System.Web.Hosting.PipelineRuntime.ProcessRequestNotificationHelper(IntPtr managedHttpContext, IntPtr nativeRequestContext, IntPtr moduleData, Int32 flags) at System.Web.Hosting.PipelineRuntime.ProcessRequestNotification(IntPtr managedHttpContext,
IntPtr nativeRequestContext, IntPtr moduleData, Int32 flags) at System.Web.Hosting.PipelineRuntime.ProcessRequestNotificationHelper(IntPtr managedHttpContext, IntPtr nativeRequestContext, IntPtr module...
b8d0b8ca-8386-441f-8fce-d79fe72556e1
06/13/2013 03:43:59.67* w3wp.exe (0x263C)
0x24D8 SharePoint Foundation Performance
9fx9 Medium ...Data, Int32 flags) at System.Web.Hosting.PipelineRuntime.ProcessRequestNotification(IntPtr managedHttpContext,
IntPtr nativeRequestContext, IntPtr moduleData, Int32 flags) b8d0b8ca-8386-441f-8fce-d79fe72556e1
06/13/2013 03:43:59.67 w3wp.exe (0x263C)
0x24D8 SharePoint Foundation Performance g4zd
High Performance degradation: note field [PublishingPageContent] was not in demoted fields. b8d0b8ca-8386-441f-8fce-d79fe72556e1
Anybody has any idea whats going on? I need to fix this ASAP as we are suppose to go live in next few days.
Soumalya
Hello Soumalya,
Do you have an update on your issue? We are actually experiencing a similar issue at a new customer.
- Dennis | Netherlands | Blog |
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Metadata Service : Performance degradation: unfetched field caused extra roundtrip
I am having a problem with SharePoint Metadata field, it gives me the error: Performance degradation: unfetched field [Products] caused extra roundtrip, and the page just crashes when I try to open the list, can anybody help me?
Hi,
Could you find out what product caused the extra roundtrip? Are you using SharePoint 2010 Server or Fundation? Meanwhile, you may check the logs first.
SharePoint 2010 log files are located in "c:\Program Files\Common Files\Microsoft Shared\web server extensions\14\LOGS" folder
Here is one article can be referred to.
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http://support.microsoft.com/kb/2420771
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JDBC, SQL*Net wait interface, performance degradation on 10g vs. 9i
Hi All,
I came across performance issue that I think results from mis-configuration of something between Oracle and JDBC. The logic of my system executes 12 threads in java. Each thread performs simple 'select a,b,c...f from table_xyz' on different tables. (so I have 12 different tables with cardinality from 3 to 48 millions and one working thread per table).
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I'm experiencing performance degradation between execution on Oracle 9i and Oracle 10g of the same java code, on the same machine, on the same data. The difference is enormous, 9i execution takes 26 hours while 10g execution takes 39 hours.
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===== 9i ===================
Avg
Total Wait wait Waits
Event Waits Timeouts Time (s) (ms) /txn
db file sequential read 22,939,988 0 6,240 0 0.7
control file parallel write 6,152 0 296 48 0.0
SQL*Net more data to client 2,877,154 0 280 0 0.1
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log file parallel write 3,528 0 83 23 0.0
latch free 94,845 0 50 1 0.0
process startup 93 0 5 50 0.0
log file sync 34 0 2 46 0.0
log file switch completion 2 0 0 215 0.0
db file single write 9 0 0 33 0.0
control file sequential read 4,912 0 0 0 0.0
wait list latch free 15 0 0 12 0.0
LGWR wait for redo copy 84 0 0 1 0.0
log file single write 2 0 0 18 0.0
async disk IO 263 0 0 0 0.0
direct path read 2,058 0 0 0 0.0
slave TJ process wait 1 1 0 12 0.0
===== 10g ==================
Avg
%Time Total Wait wait Waits
Event Waits -outs Time (s) (ms) /txn
db file scattered read 268,314 .0 2,776 10 0.0
SQL*Net message to client 278,082,276 .0 813 0 7.1
io done 20,715 .0 457 22 0.0
control file parallel write 10,971 .0 336 31 0.0
db file parallel write 15,904 .0 294 18 0.0
db file sequential read 66,266 .0 257 4 0.0
log file parallel write 3,510 .0 145 41 0.0
SQL*Net more data to client 2,221,521 .0 102 0 0.1
SGA: allocation forcing comp 2,489 99.9 27 11 0.0
log file sync 564 .0 23 41 0.0
os thread startup 176 4.0 19 106 0.0
latch: shared pool 372 .0 11 29 0.0
latch: library cache 537 .0 5 10 0.0
rdbms ipc reply 57 .0 3 49 0.0
log file switch completion 5 40.0 3 552 0.0
latch free 4,141 .0 2 0 0.0
I put full blame for the slowdown on SQL*Net message to client wait event. All I could find about this event is that it is a network related problem. I assume it would be true if database and client were on different machines.. However in my case they are on them very same machine.
I'd be very very grateful if someone could point me in the right direction, i.e. give a hint what statistics should I analyze further? what might cause this event to appear? why probable cause (that is said be outside db) affects only 10g instance?
Thanks in advance,
Rafi.Hi Steven,
Thanks for the input. It's a fact that I did not gather statistics on my tables. My understanding is that statistics are useful for queries more complex than simple select * from table_xxx. In my case tables don't have indexes. There's no filtering condition as well. Full table scan is what I actually want as all software logic is inside the java code.
Explain plans are as follows:
======= 10g ================================
PLAN_TABLE_OUTPUT
Plan hash value: 1141003974
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1 | 259 | 2 (0)| 00:00:01 |
| 1 | TABLE ACCESS FULL| xxx | 1 | 259 | 2 (0)| 00:00:01 |
In sqlplus I get:
SQL> set autotrace traceonly explain statistics;
SQL> select * from xxx;
36184384 rows selected.
Elapsed: 00:38:44.35
Execution Plan
Plan hash value: 1141003974
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1 | 259 | 2 (0)| 00:00:01 |
| 1 | TABLE ACCESS FULL| xxx | 1 | 259 | 2 (0)| 00:00:01 |
Statistics
1 recursive calls
0 db block gets
3339240 consistent gets
981517 physical reads
116 redo size
26535700 bytes received via SQL*Net from client
2412294 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
36184384 rows processed
======= 9i =================================
PLAN_TABLE_OUTPUT
| Id | Operation | Name | Rows | Bytes | Cost |
| 0 | SELECT STATEMENT | | | | |
| 1 | TABLE ACCESS FULL | xxx | | | |
Note: rule based optimization
In sqlplus I get:
SQL> set autotrace traceonly explain statistics;
SQL> select * from xxx;
36184384 rows selected.
Elapsed: 00:17:43.06
Execution Plan
0 SELECT STATEMENT Optimizer=CHOOSE
1 0 TABLE ACCESS (FULL) OF 'xxx'
Statistics
0 recursive calls
1 db block gets
3306118 consistent gets
957515 physical reads
100 redo size
23659424 bytes sent via SQL*Net to client
26535867 bytes received via SQL*Net from client
2412294 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
36184384 rows processed
Thanks for pointing me difference in table scans. I infer that 9i is doing single-block full table scan (db file sequential read) while 10g is using multi-block full table scan (db file scattered read).
I now have theory that 9i is faster because sequential reads use continuous buffer space while scattered reads use discontinuous buffer space. Since I'm accessing data 'row by row' in jdbc 10g might have an overhead in providing data from discontinuous buffer space. This overhead shows itself as SQL*Net message to client wait. Is that making any sense?
Is there any way I could force 10g (i.e. with hint) to use sequential reads instead of scattered reads for full table scan?
I'll experiment with FTS tuning in 10g by enabling automatic multi-block reads tuning (i.e. db_file_multiblock_read_count=0 instead of 32 as it is now). I'll also check if response time improves after statistics are gathered.
Please advice if you have any other ideas.
Thanks & regards,
Rafi. -
Performance Degradation with EJBs
I have a small J2EE application that consists of a Session EJB calling 3 Entity EJBs that access the database. It is a simple Order capture application. The 3 Entity beans are called Orders, OrderItems and Inventory.
A transaction consists of inserting a record into the order table, inserting 5 records into the orderitems table and updating the quantity field in the inventory table for each order item in an order. With this transaction I observe performance degradation as the transactions per second decreases dramatically within 5 minutes of running.
When I modify the transaction to insert a single record into the orderitems table I do not observe performance degradation. The only difference in this transaction is we go through the for loop 1 time as opposed to 5 times. The code is exactly the same as in the previous case with 5 items per order.
Therefore I believe the problem is a performance degradation on Entity EJBs that
get invoked in a loop.
I am using OC4J 10.1.3.3.
I am using CMP (Container Managed Persistence) and CMT (Container Managed Transactions). The Entity EJBs were all generated by Oracle JDeveloper.
EJB version being used is 2.1.One thing to consider it downloading and using the Oracle AD4J utility to see if it can help you identify any possible bottlenecks, on the application server or the database.
AD4J can be used to monitor/profile/trace applications in real time with no instrumentation required on the application. Just install it into the container and go. It can even trace a request from the app server down into the database and show you the situation is down there (it needs a db agent installed to do that).
Overview:
http://www.oracle.com/technology/products/oem/pdf/wp_productionappdiagnostics.pdf
Download:
http://www.oracle.com/technology/software/products/oem/htdocs/jade.html
Install/Config Guide:
http://download.oracle.com/docs/cd/B16240_01/doc/install.102/e11085/toc.htm
Usage Scenarios:
http://www.oracle.com/technology/products/oem/pdf/oraclead4j_usagescenarios.pdf -
Performance degradation encountered while running BOE in clustered set up
Problem Statement:
We have a clustered BOE set up in Production with 2 CMS servers (named boe01 and boe02) . Mantenix application (Standard J2EE application in a clustered set up) points to these BOE services hosted on virtual machines to generate reports. As soon as BOE services on both boe01 and boe02 are up and running , performance degradation is observed i.e (response times varies from 7sec to 30sec) .
The same set up works fine when BOE services on boe02 is turned off i.e only boe01 is up and running.No drastic variation is noticed.
BOE Details : SAP BusinessObjects environment XIR2 SP3 running on Windows 2003 Servers.(Virtual machines)
Possible Problem Areas as per our analysis
1) Node 2 Virtual Machine Issue:
This currently being part of the Production infrastructure, any problem assessment testing is not possible.
2) BOE Configuration Issue
Comparison report to check the build between BOE 01 and BOE 02 - Support team has confirmed no major installation differences apart from a minor Operating System setting difference.Question being is there some configuration/setting that we are missing ?
3) Possible BOE Cluster Issue:
Tests in staging environment ( with a similar clustered BOE setup ) have proved inconclusive.
We require your help in
- Root cause Analysis for this problem.
- Any troubleshooting action henceforth.
Another observation from our Weblogic support engineers for the above set up which may or may not be related to the problem is mentioned below.
When the services on BOE_2 are shutdown and we try to fetch a particular report from BOE_1 (Which is running), the following WARNING/ERROR comes up:-
07/09/2011 10:22:26 AM EST> <WARN> <com.crystaldecisions.celib.trace.d.if(Unknown Source)> - getUnmanagedService(): svc=BlockingReportSourceRepository,spec=aps<BOE_1> ,cluster:@BOE_OLTP, kind:cacheserver, name:<BOE_2>.cacheserver.cacheserver, queryString:null, m_replaceable:true,uri=osca:iiop://<BOE_1>;SI_SESSIONID=299466JqxiPSPUTef8huXO
com.crystaldecisions.thirdparty.org.omg.CORBA.TRANSIENT: attempt to establish connection failed: java.net.ConnectException: Connection timed out: connect minor code: 0x4f4f0001 completed: No
at com.crystaldecisions.thirdparty.com.ooc.OCI.IIOP.Connector_impl.connect(Connector_impl.java:150)
at com.crystaldecisions.thirdparty.com.ooc.OB.GIOPClient.createTransport(GIOPClient.java:233)
at com.crystaldecisions.thirdparty.com.ooc.OB.GIOPClientWorkersPool.next(GIOPClientWorkersPool.java:122)
at com.crystaldecisions.thirdparty.com.ooc.OB.GIOPClient.getWorker(GIOPClient.java:105)
at com.crystaldecisions.thirdparty.com.ooc.OB.GIOPClient.startDowncall(GIOPClient.java:409)
at com.crystaldecisions.thirdparty.com.ooc.OB.Downcall.preMarshalBase(Downcall.java:181)
at com.crystaldecisions.thirdparty.com.ooc.OB.Downcall.preMarshal(Downcall.java:298)
at com.crystaldecisions.thirdparty.com.ooc.OB.DowncallStub.preMarshal(DowncallStub.java:250)
at com.crystaldecisions.thirdparty.com.ooc.OB.DowncallStub.setupRequest(DowncallStub.java:530)
at com.crystaldecisions.thirdparty.com.ooc.CORBA.Delegate.request(Delegate.java:556)
at com.crystaldecisions.thirdparty.org.omg.CORBA.portable.ObjectImpl._request(ObjectImpl.java:118)
at com.crystaldecisions.enterprise.ocaframework.idl.ImplServ._OSCAFactoryStub.getServices(_OSCAFactoryStub.java:806)
at com.crystaldecisions.enterprise.ocaframework.ServiceMgr.do(Unknown Source)
at com.crystaldecisions.enterprise.ocaframework.ServiceMgr.a(Unknown Source)
at com.crystaldecisions.enterprise.ocaframework.ServiceMgr.getUnmanagedService(Unknown Source)
at com.crystaldecisions.enterprise.ocaframework.AbstractStubHelper.getService(Unknown Source)
at com.crystaldecisions.enterprise.ocaframework.e.do(Unknown Source)
at com.crystaldecisions.enterprise.ocaframework.o.try(Unknown Source)
at com.crystaldecisions.enterprise.ocaframework.o.a(Unknown Source)
at com.crystaldecisions.enterprise.ocaframework.o.a(Unknown Source)
at com.crystaldecisions.enterprise.ocaframework.p.a(Unknown Source)
at com.crystaldecisions.enterprise.ocaframework.ServiceMgr.getManagedService(Unknown Source)
at com.crystaldecisions.sdk.occa.managedreports.ps.internal.a$a.getService(Unknown Source)
at com.crystaldecisions.enterprise.ocaframework.e.do(Unknown Source)
at com.crystaldecisions.enterprise.ocaframework.o.try(Unknown Source)
at com.crystaldecisions.enterprise.ocaframework.o.a(Unknown Source)
at com.crystaldecisions.enterprise.ocaframework.o.a(Unknown Source)
at com.crystaldecisions.enterprise.ocaframework.p.a(Unknown Source)
We see the above warning coming 2 or 3 times before the request is processed and then we see the report. We have checked our config's for the cluster but didn't find anything concrete.
Is this a normal behavior of the software or can we optimize it?
Any assistance that you can provide would be greatRahul,
I have exactly the same problem running BO 3.1 SP3 in a 2 machine cluster on AIX. Exact same full install on both machines. When I take down one of the machines the performance is much better.
An example of the problem now is that when i run the command ./ccm.sh -display -username administrator -password xxx on the either box when they are both up and running, I sometimes receive a timeout error (over 15mins)
If I run SQLplus direct on the boxes to the CMS DB then the response is instant. Tnspings of course shows no problems
When I bring down one of the machines and run the command ./ccm.sh -display again then this brings back results in less than a minute...
I am baffled as to the problem so was wondering if you found anything from your end
Cheers
Chris -
Performance degradation. Need advice on starting all over again.
I have never formatted my drive or reinstalled my OS X like I used to do with XP during the windows days. Now there is some performance degradation and opening of applications like Safari, iPhoto and others is really slow. I maintain Time Machine backups of my full Snow Leopard partition. What should I do? Format the HD, re install SL, or simply restore from TM or reinstall and then restore...?
I dont really want to carry my windows attitude to mac, of reformatting, reinstalling and then starting all apps from scratch. I wanna leverage out of my TM backup. Please advice.
Neerav
MacBook 2.4GHz Unibody (Late 2008), 2GB RAM, SLThe hatter wrote:
Those steps, repair permissions? only checks the installed application receipts -- worthless.
Disk Utility doesn't check for bad blocks, and Apple First Aid misses and doesn't fix directory problems that are picked up by 3rd party tools like Disk Warrior.
The hatter's comments do not represent a consensus of opinion about this & are at least partially misleading.
Permissions repairs are indeed limited to comparing receipt info to actual permissions settings, but that is hardly worthless. It is well documented that mis-set permissions will cause a number of problems & resetting them to receipts values is an effective cure for those specific problems. Obviously, that won't cure problems with other causes, but since there is no magic cure-all it would be foolish to expect it to behave like one.
Regarding Disk Utility, it is true that it can't repair certain problems that some 3rd party utilities can; however, it is very effective at identifying file system problems, including those for some file systems the 3rd party apps do not support. It is also the most conservative disk utility available, designed not to attempt any repair that could result in loss of data. This is one reason it isn't as powerful as the 3rd party ones -- it is best to use it first if you suspect you have file system problems & use the more powerful ones only when necessary.
To be fair, Disk Warrior includes a directory optimization function that Disk Utility doesn't. However, an "unoptimized" directory isn't a problem in & of itself, & it is debatable how much real world benefit there is to optimizing the directory, at least with the current OS & modern high performance drives. I used to see noticeable improvements by periodically using Disk Warrior with OS 9 & the drives of that era, but these days my Macs & Snow Leopard seem to do just fine without it.
Basically, it is simple: use the tool that best does what you need to do. There is no benefit from using a sledge hammer when a tack hammer will do; in fact, the sledge hammer may do more harm than good, or just wear you out for no good reason. Also consider the wisdom of the old saying that to a hammer everything looks like a nail. Sometimes, you don't need a tool at all, just the wisdom to know that you don't.
Regarding bad sectors, every drive has them. That is not a concern by itself but the drive suddenly developing new ones is a sure sign of serious problems. Drives keep track of this themselves. Utilities provide a way to query the drives about this & may provide early warning of impending failure, but since the drive is providing the info this is not 100% reliable. For this reason, whether you use one or not, it is extremely important to backup your important data to other devices regularly & often. -
Performance degradation using Jolt ASP Connectivity for TUXEDO
We have a customer that uses Jolt ASP Connectivity for TUXEDO and is suffering
from a severe performance degradation over time.
Initial response times are fine (1 s.), but they tend to increase to 3 minutes
after some time (well, eh, a day or so).
Data:
- TUXEDO 7.1
- Jolt 1.2.1
- Relatively recent rolling patch installed (so no there are probably no JSH performance
issues and memory leaks as fixed in earlier patches)
The ULOG shows that during the night the JSH instances notice a timeout on behalf
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040911.csu013.cs.kadaster.nl!JSH.234333.1.-2: JOLT_CAT:1185: "INFO: Userid:
[ZZ_Webpol], Clientid: [AP_WEBSRV3] timed out due to inactivity"
040911.csu013.cs.kadaster.nl!JSH.234333.1.-2: JOLT_CAT:1198: "WARN: Forced
shutdown of client; user name 'ZZ_Webpol'; client name 'AP_WEBSRV3'"
This happens every 10 minutes as per configuration of the JSL (-T flag).
The customer "solved" the problem for the time being by increasing the connection
pool size on the IIS web server.
However, they didn't find a "smoking gun" - no definite cause for the problem.
So, it is debatable whether their "solution" suffices.
It is my suspicion the problem might be located in the Jolt ASP classes running
on the IIS.
Maybe the connection pool somehow loses connections over time, causing subsequent
users having to queue before they get served (although an exception should be
raised if no connections are available).
However, there's no documentation on the functioning of the connection pool for
Jolt ASP.
My questions:
1) What's the algorithm used for managing connections with Jolt ASP for TUXEDO?
2) If connections are terminated by a JSH, will a new connection be established
from the web server automatically? (this is especially interesting, because the
connection policy can be configured in the JSL CLOPT, but there's no info on how
this should be handled/configured by Jolt ASP connectivity for TUXEDO)
Regards,
Winfried ScheuldermanHi,
For ASP connectivity I would suggest looking at the .Net client facility provided in Tuxedo 9.1 and later.
Regards,
Todd Little
Oracle Tuxedo Chief Architect -
Performance Degradation of new Servers
Hi All,
We are experiencing massive performance degradation on production when the system is under heavy use. It seems to be at its worst around month end. The worst effected transactions are the Cost / Profit centre 'line item' reports using RCOPCA02 (and other similar programs).
We have the message server running on the database instance as well as 2x App servers. The Msg Srv and One of the App servers are very similar builds
4x AMD Opteron 875
16gb RAM (10gb Pagefile)
Both running Win Server 2003
We're using MS SQL 2000
The other message server is a bit weaker but has been around for some time (few years) and hasn't caused any issues.
We have recently moved the Msg Server from an old (much weaker) server to the new build and since then seem to have performance issues. Initially after the move we had issues with the number of Page Table Entries (where down at about 6000-8000). Using the /3GB /USERVA=2900 switches we have this up to about 49,000.
If anyone has had a similar experience or could offer some assistance it would be much appreciated!!!
Cheers,
KyeWhile investigating a different issue we've found that we have 3 servers that share the same set of disks on the SAN. Two of these where Message Servers (R/3 and BW) when both of these where running the 'Average disk queue Length' was at times reaching 400! (should be around 1-3).
We've moved one of these instances back to DR which has relieved some of the pressure from the disks.
We have also added another index to the GLPCA table (which was causing most of the problems). -
Performance degradation after upgrading to yosemite
I'm experiencing performance degradation on MacBook Pro 15 including
number of spinning wheels,
instance of dark screen,
overheating after upgrading to Yosemite
diminished battery life
Is Yosemite the cause of this and other issuesI can't believe Apple have made this software available to the masses when it's clearly not ready. Since "upgrading" my Mac mini has been pretty useless. Programs take a substantially increased time to open compared to Mavericks, and then performance is poor at best. Opening files in Photoshop, for example, is painfully slow and I get the colour wheel almost all of the time - something which definitely didn't happen with Mavericks.
Aside from this, I've experienced a number of frustrating bugs today. When I open a new program on my left screen the right screen is changed to a fresh desktop. Why? When I turn my Mac on I get the login screen on the left monitor (as it always used to) but then the primary desktop is set to the right and I've been unable to keep the correct setting so far (it forgets that I've changed it following a reboot). The background of the top bar keeps disappearing so all of the icons, time, etc. just sit on top of the desktop background.
I hope Apple can release a fix, and quickly. -
Please help me figure out why this thread's performance degrades over time
Hello.
The code below is from a Runnable that I've tested inside a Thread operating on a TreePath array of size 1500; the array 'clonedArrayB' is this TreePath array. The code is designed to create a more stepped version of setSelectionPaths(TreePath[]) from class JTree.
The performance decrease of the thread is very rapid; this is discernible simply from viewing the println speed. When it gets to about 1400 TreePaths added to the JTree selection, it's running at roughly 1/10 the speed it started running at.
I know there's no problem with maintaining a set of selected paths of that size inside a JTree. I also know that the thread stops when it should. So it must be some operation I'm performing inside the brief piece of code shown below that is causing the performance degradation.
Does anyone have any idea what could be causing the slowdown?
Many thanks for your help. Apologies if you would have liked an SSCCE, but I very much doubt it's necessary for this. Either you can see the problem or you can't. And sadly I can't x:'o(
int indexA = 0;
public void run() {
// Prevent use of / Pause scanner
try {
scannerLock.acquire();
} catch (InterruptedException exc) {
Gecko.logException("Scanner lock could not be acquired by expansion thread", exc);
while (!autoExpansionComplete) {
while (indexA < clonedArrayA.length) {
int markerA = indexA + 10;
for (int a = indexA; a < markerA && a < clonedArrayA.length; a++) {
pluginTreeA.addSelectionPath(clonedArrayA[a]);
indexA = markerA;
System.out.println(indexA + "," + clonedArrayA.length);
if (autoExpansionComplete) {
break;
stop();
};Well, since I've had no responses, I tried to think of other ways to speed the code up.
I'd already made nearly every tweak I know. The only additional thing I could think of was to use addSelectionPaths(TreePath[]) on a subarray of the cloned array, instead of addSelectionPath(TreePath) on the cloned array's elements, since obviously it would be fewer method calls. It has sped things up an awful lot (my new code is shown below - I've left in some things I chopped out above, so you can see exactly what I see). The problem is though, obviously an increase in initial velocity doesn't solve the problem of deceleration occurring, if you get me.
// Clone the selection arrays to non-volatile arrays for better access
// speeds
final TreePath[] clonedArrayA = selectionPathsArrayA.clone();
final TreePath[] clonedArrayB = selectionPathsArrayB.clone();
// Create a new runnable to perform the selection task
Runnable selectionExpander = new Runnable() {
/** Position within cloned array A */
int indexA = 0;
/** Position within cloned array B */
int indexB = 0;
/** Length of subarray grabbed from cloned array A */
int lengthA;
/** Length of subarray grabbed from cloned array B */
int lengthB;
/** Subarray destination */
private TreePath[] subarray = new TreePath[100];
public void stop() {
autoExpansionComplete = true;
automatedSelection = false;
scannerLock.release();
* Grabs 10 blocks of each selection paths array at a time, adding
* these to the tree's current selection and then moving to the next
* cycle
public void run() {
// Prevent use of / Pause scanner
try {
scannerLock.acquire();
} catch (InterruptedException exc) {
Gecko.logException("Scanner lock could not be acquired by expansion thread", exc);
while (!autoExpansionComplete) {
while (indexA < clonedArrayA.length || indexB < clonedArrayB.length) {
// Set subarray lengths
lengthA = subarray.length;
lengthB = subarray.length;
// If subarray length is greater than the number of
// remaining indices in the source array, set length to
// the number of remaining indices
lengthA = indexA + lengthA > clonedArrayA.length ? clonedArrayA.length - indexA : lengthA;
lengthB = indexB + lengthB > clonedArrayB.length ? clonedArrayB.length - indexB : lengthB;
// Create subarrays and add TreePath elements to trees'
// selections
System.arraycopy(clonedArrayA, indexA, subarray, 0, lengthA);
pluginTreeA.addSelectionPaths(subarray);
System.arraycopy(clonedArrayB, indexB, subarray, 0, lengthB);
pluginTreeB.addSelectionPaths(subarray);
// Remember the latest index reached in source arrays
indexA += lengthA;
indexB += lengthB;
System.out.println(indexA + "," + clonedArrayA.length);
System.out.println(indexB + "," + clonedArrayB.length);
if (autoExpansionComplete) {
break;
stop();
// Create and start new thread to manage the selection task runner
selector = new Thread(selectionExpander);
selector.start();I really can't think what could be causing the slowdown. I've done everythng I can think of to increase the velocity, such as cloning the source arrays since they're volatile and access could be slightly slower as a result.
Nothing I try gets rid of the slowdown effect though :(
- Dave -
Hello,
Below I provide a complete code to re-produce the behavior I am observing. You could run it in tempdb or any other database, which is not important. The test query provided at the top of the script is pretty silly, but I have observed the same
performance degradation with about a dozen of various queries of different complexity, so this is just the simplest one I am using as an example here. Note that I also included approximate run times in the script comments (this is obviously based on what I
observed on my machine). Here are the steps with numbers corresponding to the numbers in the script:
1. Run script from #1 to #7. This will create the two test tables, populate them with records (40 mln. and 10 mln.) and build regular clustered indexes.
2. Run test query (at the top of the script). Here are the execution statistics:
Table 'Main'. Scan count 5, logical reads 151435, physical reads 0, read-ahead reads 4, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Txns'. Scan count 5, logical reads 74155, physical reads 0, read-ahead reads 7, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Workfile'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Worktable'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
SQL Server Execution Times:
CPU time = 5514 ms,
elapsed time = 1389 ms.
3. Run script from #8 to #9. This will replace regular clustered indexes with columnstore clustered indexes.
4. Run test query (at the top of the script). Here are the execution statistics:
Table 'Txns'. Scan count 4, logical reads 44563, physical reads 0, read-ahead reads 37186, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Main'. Scan count 4, logical reads 54850, physical reads 2, read-ahead reads 96862, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Worktable'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Workfile'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
SQL Server Execution Times:
CPU time = 828 ms,
elapsed time = 392 ms.
As you can see the query is clearly faster. Yay for columnstore indexes!.. But let's continue.
5. Run script from #10 to #12 (note that this might take some time to execute). This will move about 80% of the data in both tables to a different partition. You should be able to see the fact that the data has been moved when running Step #
11.
6. Run test query (at the top of the script). Here are the execution statistics:
Table 'Txns'. Scan count 4, logical reads 44563, physical reads 0, read-ahead reads 37186, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Main'. Scan count 4, logical reads 54817, physical reads 2, read-ahead reads 96862, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Worktable'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Workfile'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
SQL Server Execution Times:
CPU time = 8172 ms,
elapsed time = 3119 ms.
And now look, the I/O stats look the same as before, but the performance is the slowest of all our tries!
I am not going to paste here execution plans or the detailed properties for each of the operators. They show up as expected -- column store index scan, parallel/partitioned = true, both estimated and actual number of rows is less than during the second
run (when all of the data resided on the same partition).
So the question is: why is it slower?
Thank you for any help!
Here is the code to re-produce this:
--==> Test Query - begin --<===
DBCC DROPCLEANBUFFERS
DBCC FREEPROCCACHE
SET STATISTICS IO ON
SET STATISTICS TIME ON
SELECT COUNT(1)
FROM Txns AS z WITH(NOLOCK)
LEFT JOIN Main AS mmm WITH(NOLOCK) ON mmm.ColBatchID = 70 AND z.TxnID = mmm.TxnID AND mmm.RecordStatus = 1
WHERE z.RecordStatus = 1
--==> Test Query - end --<===
--===========================================================
--1. Clean-up
IF OBJECT_ID('Txns') IS NOT NULL DROP TABLE Txns
IF OBJECT_ID('Main') IS NOT NULL DROP TABLE Main
IF EXISTS (SELECT 1 FROM sys.partition_schemes WHERE name = 'PS_Scheme') DROP PARTITION SCHEME PS_Scheme
IF EXISTS (SELECT 1 FROM sys.partition_functions WHERE name = 'PF_Func') DROP PARTITION FUNCTION PF_Func
--2. Create partition funciton
CREATE PARTITION FUNCTION PF_Func(tinyint) AS RANGE LEFT FOR VALUES (1, 2, 3)
--3. Partition scheme
CREATE PARTITION SCHEME PS_Scheme AS PARTITION PF_Func ALL TO ([PRIMARY])
--4. Create Main table
CREATE TABLE dbo.Main(
SetID int NOT NULL,
SubSetID int NOT NULL,
TxnID int NOT NULL,
ColBatchID int NOT NULL,
ColMadeId int NOT NULL,
RecordStatus tinyint NOT NULL DEFAULT ((1))
) ON PS_Scheme(RecordStatus)
--5. Create Txns table
CREATE TABLE dbo.Txns(
TxnID int IDENTITY(1,1) NOT NULL,
GroupID int NULL,
SiteID int NULL,
Period datetime NULL,
Amount money NULL,
CreateDate datetime NULL,
Descr varchar(50) NULL,
RecordStatus tinyint NOT NULL DEFAULT ((1))
) ON PS_Scheme(RecordStatus)
--6. Populate data (credit to Jeff Moden: http://www.sqlservercentral.com/articles/Data+Generation/87901/)
-- 40 mln. rows - approx. 4 min
--6.1 Populate Main table
DECLARE @NumberOfRows INT = 40000000
INSERT INTO Main (
SetID,
SubSetID,
TxnID,
ColBatchID,
ColMadeID,
RecordStatus)
SELECT TOP (@NumberOfRows)
SetID = ABS(CHECKSUM(NEWID())) % 500 + 1, -- ABS(CHECKSUM(NEWID())) % @Range + @StartValue,
SubSetID = ABS(CHECKSUM(NEWID())) % 3 + 1,
TxnID = ABS(CHECKSUM(NEWID())) % 1000000 + 1,
ColBatchId = ABS(CHECKSUM(NEWID())) % 100 + 1,
ColMadeID = ABS(CHECKSUM(NEWID())) % 500000 + 1,
RecordStatus = 1
FROM sys.all_columns ac1
CROSS JOIN sys.all_columns ac2
--6.2 Populate Txns table
-- 10 mln. rows - approx. 1 min
SET @NumberOfRows = 10000000
INSERT INTO Txns (
GroupID,
SiteID,
Period,
Amount,
CreateDate,
Descr,
RecordStatus)
SELECT TOP (@NumberOfRows)
GroupID = ABS(CHECKSUM(NEWID())) % 5 + 1, -- ABS(CHECKSUM(NEWID())) % @Range + @StartValue,
SiteID = ABS(CHECKSUM(NEWID())) % 56 + 1,
Period = DATEADD(dd,ABS(CHECKSUM(NEWID())) % 365, '05-04-2012'), -- DATEADD(dd,ABS(CHECKSUM(NEWID())) % @Days, @StartDate)
Amount = CAST(RAND(CHECKSUM(NEWID())) * 250000 + 1 AS MONEY),
CreateDate = DATEADD(dd,ABS(CHECKSUM(NEWID())) % 365, '05-04-2012'),
Descr = REPLICATE(CHAR(65 + ABS(CHECKSUM(NEWID())) % 26), ABS(CHECKSUM(NEWID())) % 20),
RecordStatus = 1
FROM sys.all_columns ac1
CROSS JOIN sys.all_columns ac2
--7. Add PK's
-- 1 min
ALTER TABLE Txns ADD CONSTRAINT PK_Txns PRIMARY KEY CLUSTERED (RecordStatus ASC, TxnID ASC) ON PS_Scheme(RecordStatus)
CREATE CLUSTERED INDEX CDX_Main ON Main(RecordStatus ASC, SetID ASC, SubSetId ASC, TxnID ASC) ON PS_Scheme(RecordStatus)
--==> Run test Query --<===
--===========================================================
-- Replace regular indexes with clustered columnstore indexes
--===========================================================
--8. Drop existing indexes
ALTER TABLE Txns DROP CONSTRAINT PK_Txns
DROP INDEX Main.CDX_Main
--9. Create clustered columnstore indexes (on partition scheme!)
-- 1 min
CREATE CLUSTERED COLUMNSTORE INDEX PK_Txns ON Txns ON PS_Scheme(RecordStatus)
CREATE CLUSTERED COLUMNSTORE INDEX CDX_Main ON Main ON PS_Scheme(RecordStatus)
--==> Run test Query --<===
--===========================================================
-- Move about 80% the data into a different partition
--===========================================================
--10. Update "RecordStatus", so that data is moved to a different partition
-- 14 min (32002557 row(s) affected)
UPDATE Main
SET RecordStatus = 2
WHERE TxnID < 800000 -- range of values is from 1 to 1 mln.
-- 4.5 min (7999999 row(s) affected)
UPDATE Txns
SET RecordStatus = 2
WHERE TxnID < 8000000 -- range of values is from 1 to 10 mln.
--11. Check data distribution
SELECT
OBJECT_NAME(SI.object_id) AS PartitionedTable
, DS.name AS PartitionScheme
, SI.name AS IdxName
, SI.index_id
, SP.partition_number
, SP.rows
FROM sys.indexes AS SI WITH (NOLOCK)
JOIN sys.data_spaces AS DS WITH (NOLOCK)
ON DS.data_space_id = SI.data_space_id
JOIN sys.partitions AS SP WITH (NOLOCK)
ON SP.object_id = SI.object_id
AND SP.index_id = SI.index_id
WHERE DS.type = 'PS'
AND OBJECT_NAME(SI.object_id) IN ('Main', 'Txns')
ORDER BY 1, 2, 3, 4, 5;
PartitionedTable PartitionScheme IdxName index_id partition_number rows
Main PS_Scheme CDX_Main 1 1 7997443
Main PS_Scheme CDX_Main 1 2 32002557
Main PS_Scheme CDX_Main 1 3 0
Main PS_Scheme CDX_Main 1 4 0
Txns PS_Scheme PK_Txns 1 1 2000001
Txns PS_Scheme PK_Txns 1 2 7999999
Txns PS_Scheme PK_Txns 1 3 0
Txns PS_Scheme PK_Txns 1 4 0
--12. Update statistics
EXEC sys.sp_updatestats
--==> Run test Query --<===Hello Michael,
I just simulated the situation and got the same results as in your description. However, I did one more test - I rebuilt the two columnstore indexes after the update (and test run). I got the following details:
Table 'Txns'. Scan count 8, logical reads 12922, physical reads 1, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Main'. Scan count 8, logical reads 57042, physical reads 1, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Worktable'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Workfile'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Worktable'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
SQL Server Execution Times:
CPU time = 251 ms, elapsed time = 128 ms.
As an explanation of the behavior - because of the UPDATE statement in CCI is executed as a DELETE and INSERT operation, you had all original row groups of the index with almost all data deleted and almost the same amount of new row groups with new data
(coming from the update). I suppose scanning the deleted bitmap caused the additional slowness at your end or something related with that "fragmentation".
Ivan Donev MCITP SQL Server 2008 DBA, DB Developer, BI Developer -
This was discussed here, with no resolution
http://social.technet.microsoft.com/Forums/en-US/exchange2010/thread/bb073c59-b88f-471b-a209-d7b5d9e5aa28?prof=required
I have the same issue. This is a single-purpose physical mailbox server with 320 users and 72GB of RAM. That should be plenty. I've checked and there are no manual settings for the database cache. There are no other problems with
the server, nothing reported in the logs, except for the aforementioned error (see below).
The server is sluggish. A reboot will clear up the problem temporarily. The only processes using any significant amount of memory are store.exe (using 53GB), regsvc (using 5) and W3 and Monitoringhost.exe using 1 GB each. Does anyone have
any ideas on this?
Warning ESE Event ID 906.
Information Store (1497076) A significant portion of the database buffer cache has been written out to the system paging file. This may result in severe performance degradation. See help link for complete details of possible causes. Resident cache
has fallen by 213107 buffers (or 11%) in the last 207168 seconds. Current Total Percent Resident: 79% (1574197 of 1969409 buffers)Brian,
We had this event log entry as well which SCOM picked up on, and 10 seconds before it the Forefront Protection 2010 for Exchange updated all of its engines.
We are running Exchange 2010 SP2 RU3 with no file system antivirus (the boxes are restricted and have UAC turned on as mitigations). We are running the servers primarily as Hub Transport servers with 16GB of RAM, but they do have the mailbox role installed
for the sole purpose of serving as our public folder servers.
So we theroized the STORE process was just grabbing a ton of RAM, and occasionally it was told to dump the memory so the other processes could grab some - thus generating the alert. Up until last night we thought nothing of it, but ~25 seconds after the
cache flush to paging file, we got the following alert:
Log Name: Application
Source: MSExchangeTransport
Date: 8/2/2012 2:08:14 AM
Event ID: 17012
Task Category: Storage
Level: Error
Keywords: Classic
User: N/A
Computer: HTS1.company.com
Description:
Transport Mail Database: The database could not allocate memory. Please close some applications to make sure you have enough memory for Exchange Server. The exception is Microsoft.Exchange.Isam.IsamOutOfMemoryException: Out of Memory (-1011)
at Microsoft.Exchange.Isam.JetInterop.CallW(Int32 errFn)
at Microsoft.Exchange.Isam.JetInterop.MJetOpenDatabase(MJET_SESID sesid, String file, String connect, MJET_GRBIT grbit, MJET_WRN& wrn)
at Microsoft.Exchange.Isam.JetInterop.MJetOpenDatabase(MJET_SESID sesid, String file, MJET_GRBIT grbit)
at Microsoft.Exchange.Isam.JetInterop.MJetOpenDatabase(MJET_SESID sesid, String file)
at Microsoft.Exchange.Isam.Interop.MJetOpenDatabase(MJET_SESID sesid, String file)
at Microsoft.Exchange.Transport.Storage.DataConnection..ctor(MJET_INSTANCE instance, DataSource source).
Followed by:
Log Name: Application
Source: MSExchangeTransport
Date: 8/2/2012 2:08:15 AM
Event ID: 17106
Task Category: Storage
Level: Information
Keywords: Classic
User: N/A
Computer: HTS1.company.com
Description:
Transport Mail Database: MSExchangeTransport has detected a critical storage error, updated the registry key (SOFTWARE\Microsoft\ExchangeServer\v14\Transport\QueueDatabase) and as a result, will attempt self-healing after process restart.
Log Name: Application
Source: MSExchangeTransport
Date: 8/2/2012 2:13:50 AM
Event ID: 17102
Task Category: Storage
Level: Warning
Keywords: Classic
User: N/A
Computer: HTS1.company.com
Description:
Transport Mail Database: MSExchangeTransport has detected a critical storage error and has taken an automated recovery action. This recovery action will not be repeated until the target folders are renamed or deleted. Directory path:E:\EXCHSRVR\TransportRoles\Data\Queue
is moved to directory path:E:\EXCHSRVR\TransportRoles\Data\Queue\Queue.old.
So it seems as if the Forefront Protection 2010 for Exchange inadvertently trigger the cache flush which didn't appear to happen quick or thuroughly enough for the transport service to do what it needed to do, so it freaked out and performed the subsequent
actions.
Do you have any ideas on how to prevent this 906 warning, which cascaded into a transport service outage?
Thanks! -
Noticable Performance Degradation
In my performance testing I have noticed some performance degradation wrt in memory databases. I am trying to understand what is causing it. I have summarized the results in graphs that show the behaviour. If you are interested in taking a look let me know and I will email you the full details. I would have posted the full details here but there is no option for attachments.
I have also seen some strange degradation behaviour wrt disk backed databases as well. If anyone is interested in helping/advising here I will also send you the full details.
DCSure, please send them to me and I'll take a look: [email protected]
Regards,
Michael Cahill, Oracle. -
Performance degradation with addition of unicasting option
We have been using the multi-casting protocol for setting up the data grid between the application nodes with the vm arguments as
*-Dtangosol.coherence.clusteraddress=${Broadcast Address} -Dtangosol.coherence.clusterport=${Broadcast port}*
As the certain node in the application was expected in a different sub net and multi-casting was not feasible, we opted for well known addressing with following additional VM arguments setup in the server nodes(all in the same subnet)
*-Dtangosol.coherence.machine=${server_name} -Dtangosol.coherence.wka=${server_ip} -Dtangosol.coherence.localport=${server_port}*
and the following in the remote client node that point to one of the server node like this
*-Dtangosol.coherence.wka=${server_ip} -Dtangosol.coherence.wka.port=${server_port}*
But this deteriorated the performance drastically both in pushing data into the cache and getting events via map listener.
From the coherence logging statements it doesn't seems that multi-casting is getting used atleast with in the server nodes(which are in the same subnet).
Is it feasible to have both uni-casting and multi-casting to coexist? How to verify if it is setup already?
Is performance degradation in well-known addressing is a limitation and expected?Hi Mahesh,
From your description it sounds as if you've configured each node with a wka list just including it self. This would result in N rather then 1 clusters. Your client would then be serviced by the resources of just a single cache server rather then an entire cluster. If this is the case you will see that all nodes are identified as member 1. To setup wka I would suggest using the override file rather then system properties, and place perhaps 10% of your nodes on that list. Then use this exact same file for all nodes. If I've misinyerpreted your configuration please provide additional details.
Thanks,
Mark
Oracle Coherence -
Performance degradation with -g compiler option
Hello
Our mearurement of simple program compiled with and without -g option shows big performance difference.
Machine:
SunOS xxxxx 5.10 Generic_137137-09 sun4u sparc SUNW,Sun-Fire-V250
Compiler:
CC: Sun C++ 5.9 SunOS_sparc Patch 124863-08 2008/10/16
#include "time.h"
#include <iostream>
int main(int argc, char ** argv)
for (int i = 0 ; i < 60000; i++)
int *mass = new int[60000];
for (int j=0; j < 10000; j++) {
mass[j] = j;
delete []mass;
return 0;
}Compilation and execution with -g:
CC -g -o test_malloc_deb.x test_malloc.c
ptime test_malloc_deb.xreal 10.682
user 10.388
sys 0.023
Without -g:
CC -o test_malloc.x test_malloc.c
ptime test_malloc.xreal 2.446
user 2.378
sys 0.018
As you can see performance degradation of "-g" is about 4 times.
Our product is compiled with -g option and before shipment it is stripped using 'strip' utility.
This will give us possibility to open customer core files using non-stripped exe.
But our tests shows that stripping does not give performance of executable compiled without '-g'.
So we are losing performance by using this compilation method.
Is it expected behavior of compiler?
Is there any way to have -g option "on" and not lose performance?In your original compile you don't use any optimisation flags, which tells the compiler to do minimal optimisation - you're basically telling the compiler that you are not interested in performance. Adding -g to this requests that you want maximal debug. So the compiler does even less optimisation, in order that the generated code more closely resembles the original source.
If you are interested in debug, then -g with no optimisation flags gives you the most debuggable code.
If you are interested in optimised code with debug, then try -O -g (or some other level of optimisation). The code will still be debuggable - you'll be able to map disassembly to lines of source, but some things may not be accessible.
If you are using C++, then -g will in SS12 switch off front-end inlining, so again you'll get some performance hit. So use -g0 to get inlining and debug.
HTH,
Darryl.
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