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  • Is there a way of getting a file name and inserting into Matlab script?

    - by torr
    In a folder, I have both my .m file that contains the script and an imaging .dcm file that needs to be analyzed. Folder structure: Folder1/analysis.m Folder1/meas_dynamic_123.dcm My script (analysis.m) begins as follows: target =''; <== here should go the full path to the file + filename example: /Volumes/Data/Folder1/meas_dynamic_123.m txt = dir(target); // etc So I'm wondering if there is a way of when running analysis.m it will: automatically search the folder it's in, grab the full path + filename of file containing string dynamic in the name, insert its full path + name into target variable continue running the script Does anyone have any pointers on how to achieve this? Using ffpath?

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  • Oracle Solaris 11 ZFS Lab for Openworld 2012

    - by user12626122
    Preface This is the content from the Oracle Openworld 2012 ZFS lab. It was well attended - the feedback was that it was a little short - thats probably because in writing it I bacame very time-concious after the ASM/ACFS on Solaris extravaganza I ran last year which was almost too long for mortal man to finish in the 1 hour session. Enjoy. Table of Contents Exercise Z.1: ZFS Pools Exercise Z.2: ZFS File Systems Exercise Z.3: ZFS Compression Exercise Z.4: ZFS Deduplication Exercise Z.5: ZFS Encryption Exercise Z.6: Solaris 11 Shadow Migration Introduction This set of exercises is designed to briefly demonstrate new features in Solaris 11 ZFS file system: Deduplication, Encryption and Shadow Migration. Also included is the creation of zpools and zfs file systems - the basic building blocks of the technology, and also Compression which is the compliment of Deduplication. The exercises are just introductions - you are referred to the ZFS Adminstration Manual for further information. From Solaris 11 onward the online manual pages consist of zpool(1M) and zfs(1M) with further feature-specific information in zfs_allow(1M), zfs_encrypt(1M) and zfs_share(1M). The lab is easily carried out in a VirtualBox running Solaris 11 with 6 virtual 3 Gb disks to play with. Exercise Z.1: ZFS Pools Task: You have several disks to use for your new file system. Create a new zpool and a file system within it. Lab: You will check the status of existing zpools, create your own pool and expand it. Your Solaris 11 installation already has a root ZFS pool. It contains the root file system. Check this: root@solaris:~# zpool list NAME SIZE ALLOC FREE CAP DEDUP HEALTH ALTROOT rpool 15.9G 6.62G 9.25G 41% 1.00x ONLINE - root@solaris:~# zpool status pool: rpool state: ONLINE scan: none requested config: NAME STATE READ WRITE CKSUM rpool ONLINE 0 0 0 c3t0d0s0 ONLINE 0 0 0 errors: No known data errors Note the disk device the root pool is on - c3t0d0s0 Now you will create your own ZFS pool. First you will check what disks are available: root@solaris:~# echo | format Searching for disks...done AVAILABLE DISK SELECTIONS: 0. c3t0d0 <ATA-VBOX HARDDISK-1.0 cyl 2085 alt 2 hd 255 sec 63> /pci@0,0/pci8086,2829@d/disk@0,0 1. c3t2d0 <ATA-VBOX HARDDISK-1.0 cyl 1534 alt 2 hd 128 sec 32> /pci@0,0/pci8086,2829@d/disk@2,0 2. c3t3d0 <ATA-VBOX HARDDISK-1.0 cyl 1534 alt 2 hd 128 sec 32> /pci@0,0/pci8086,2829@d/disk@3,0 3. c3t4d0 <ATA-VBOX HARDDISK-1.0 cyl 1534 alt 2 hd 128 sec 32> /pci@0,0/pci8086,2829@d/disk@4,0 4. c3t5d0 <ATA-VBOX HARDDISK-1.0 cyl 1534 alt 2 hd 128 sec 32> /pci@0,0/pci8086,2829@d/disk@5,0 5. c3t6d0 <ATA-VBOX HARDDISK-1.0 cyl 1534 alt 2 hd 128 sec 32> /pci@0,0/pci8086,2829@d/disk@6,0 6. c3t7d0 <ATA-VBOX HARDDISK-1.0 cyl 1534 alt 2 hd 128 sec 32> /pci@0,0/pci8086,2829@d/disk@7,0 Specify disk (enter its number): Specify disk (enter its number): The root disk is numbered 0. The others are free for use. Try creating a simple pool and observe the error message: root@solaris:~# zpool create mypool c3t2d0 c3t3d0 'mypool' successfully created, but with no redundancy; failure of one device will cause loss of the pool So destroy that pool and create a mirrored pool instead: root@solaris:~# zpool destroy mypool root@solaris:~# zpool create mypool mirror c3t2d0 c3t3d0 root@solaris:~# zpool status mypool pool: mypool state: ONLINE scan: none requested config: NAME STATE READ WRITE CKSUM mypool ONLINE 0 0 0 mirror-0 ONLINE 0 0 0 c3t2d0 ONLINE 0 0 0 c3t3d0 ONLINE 0 0 0 errors: No known data errors Back to topExercise Z.2: ZFS File Systems Task: You have to create file systems for later exercises. You can see that when a pool is created, a file system of the same name is created: root@solaris:~# zfs list NAME USED AVAIL REFER MOUNTPOINT mypool 86.5K 2.94G 31K /mypool Create your filesystems and mountpoints as follows: root@solaris:~# zfs create -o mountpoint=/data1 mypool/mydata1 The -o option sets the mount point and automatically creates the necessary directory. root@solaris:~# zfs list mypool/mydata1 NAME USED AVAIL REFER MOUNTPOINT mypool/mydata1 31K 2.94G 31K /data1 Back to top Exercise Z.3: ZFS Compression Task:Try out different forms of compression available in ZFS Lab:Create 2nd filesystem with compression, fill both file systems with the same data, observe results You can see from the zfs(1) manual page that there are several types of compression available to you, set with the property=value syntax: compression=on | off | lzjb | gzip | gzip-N | zle Controls the compression algorithm used for this dataset. The lzjb compression algorithm is optimized for performance while providing decent data compression. Setting compression to on uses the lzjb compression algorithm. The gzip compression algorithm uses the same compression as the gzip(1) command. You can specify the gzip level by using the value gzip-N where N is an integer from 1 (fastest) to 9 (best compression ratio). Currently, gzip is equivalent to gzip-6 (which is also the default for gzip(1)). Create a second filesystem with compression turned on. Note how you set and get your values separately: root@solaris:~# zfs create -o mountpoint=/data2 mypool/mydata2 root@solaris:~# zfs set compression=gzip-9 mypool/mydata2 root@solaris:~# zfs get compression mypool/mydata1 NAME PROPERTY VALUE SOURCE mypool/mydata1 compression off default root@solaris:~# zfs get compression mypool/mydata2 NAME PROPERTY VALUE SOURCE mypool/mydata2 compression gzip-9 local Now you can copy the contents of /usr/lib into both your normal and compressing filesystem and observe the results. Don't forget the dot or period (".") in the find(1) command below: root@solaris:~# cd /usr/lib root@solaris:/usr/lib# find . -print | cpio -pdv /data1 root@solaris:/usr/lib# find . -print | cpio -pdv /data2 The copy into the compressing file system takes longer - as it has to perform the compression but the results show the effect: root@solaris:/usr/lib# zfs list NAME USED AVAIL REFER MOUNTPOINT mypool 1.35G 1.59G 31K /mypool mypool/mydata1 1.01G 1.59G 1.01G /data1 mypool/mydata2 341M 1.59G 341M /data2 Note that the available space in the pool is shared amongst the file systems. This behavior can be modified using quotas and reservations which are not covered in this lab but are covered extensively in the ZFS Administrators Guide. Back to top Exercise Z.4: ZFS Deduplication The deduplication property is used to remove redundant data from a ZFS file system. With the property enabled duplicate data blocks are removed synchronously. The result is that only unique data is stored and common componenents are shared. Task:See how to implement deduplication and its effects Lab: You will create a ZFS file system with deduplication turned on and see if it reduces the amount of physical storage needed when we again fill it with a copy of /usr/lib. root@solaris:/usr/lib# zfs destroy mypool/mydata2 root@solaris:/usr/lib# zfs set dedup=on mypool/mydata1 root@solaris:/usr/lib# rm -rf /data1/* root@solaris:/usr/lib# mkdir /data1/2nd-copy root@solaris:/usr/lib# zfs list NAME USED AVAIL REFER MOUNTPOINT mypool 1.02M 2.94G 31K /mypool mypool/mydata1 43K 2.94G 43K /data1 root@solaris:/usr/lib# find . -print | cpio -pd /data1 2142768 blocks root@solaris:/usr/lib# zfs list NAME USED AVAIL REFER MOUNTPOINT mypool 1.02G 1.99G 31K /mypool mypool/mydata1 1.01G 1.99G 1.01G /data1 root@solaris:/usr/lib# find . -print | cpio -pd /data1/2nd-copy 2142768 blocks root@solaris:/usr/lib#zfs list NAME USED AVAIL REFER MOUNTPOINT mypool 1.99G 1.96G 31K /mypool mypool/mydata1 1.98G 1.96G 1.98G /data1 You could go on creating copies for quite a while...but you get the idea. Note that deduplication and compression can be combined: the compression acts on metadata. Deduplication works across file systems in a pool and there is a zpool-wide property dedupratio: root@solaris:/usr/lib# zpool get dedupratio mypool NAME PROPERTY VALUE SOURCE mypool dedupratio 4.30x - Deduplication can also be checked using "zpool list": root@solaris:/usr/lib# zpool list NAME SIZE ALLOC FREE CAP DEDUP HEALTH ALTROOT mypool 2.98G 1001M 2.01G 32% 4.30x ONLINE - rpool 15.9G 6.66G 9.21G 41% 1.00x ONLINE - Before moving on to the next topic, destroy that dataset and free up some space: root@solaris:~# zfs destroy mypool/mydata1 Back to top Exercise Z.5: ZFS Encryption Task: Encrypt sensitive data. Lab: Explore basic ZFS encryption. This lab only covers the basics of ZFS Encryption. In particular it does not cover various aspects of key management. Please see the ZFS Adminastrion Manual and the zfs_encrypt(1M) manual page for more detail on this functionality. Back to top root@solaris:~# zfs create -o encryption=on mypool/data2 Enter passphrase for 'mypool/data2': ******** Enter again: ******** root@solaris:~# Creation of a descendent dataset shows that encryption is inherited from the parent: root@solaris:~# zfs create mypool/data2/data3 root@solaris:~# zfs get -r encryption,keysource,keystatus,checksum mypool/data2 NAME PROPERTY VALUE SOURCE mypool/data2 encryption on local mypool/data2 keysource passphrase,prompt local mypool/data2 keystatus available - mypool/data2 checksum sha256-mac local mypool/data2/data3 encryption on inherited from mypool/data2 mypool/data2/data3 keysource passphrase,prompt inherited from mypool/data2 mypool/data2/data3 keystatus available - mypool/data2/data3 checksum sha256-mac inherited from mypool/data2 You will find the online manual page zfs_encrypt(1M) contains examples. In particular, if time permits during this lab session you may wish to explore the changing of a key using "zfs key -c mypool/data2". Exercise Z.6: Shadow Migration Shadow Migration allows you to migrate data from an old file system to a new file system while simultaneously allowing access and modification to the new file system during the process. You can use Shadow Migration to migrate a local or remote UFS or ZFS file system to a local file system. Task: You wish to migrate data from one file system (UFS, ZFS, VxFS) to ZFS while mainaining access to it. Lab: Create the infrastructure for shadow migration and transfer one file system into another. First create the file system you want to migrate root@solaris:~# zpool create oldstuff c3t4d0 root@solaris:~# zfs create oldstuff/forgotten Then populate it with some files: root@solaris:~# cd /var/adm root@solaris:/var/adm# find . -print | cpio -pdv /oldstuff/forgotten You need the shadow-migration package installed: root@solaris:~# pkg install shadow-migration Packages to install: 1 Create boot environment: No Create backup boot environment: No Services to change: 1 DOWNLOAD PKGS FILES XFER (MB) Completed 1/1 14/14 0.2/0.2 PHASE ACTIONS Install Phase 39/39 PHASE ITEMS Package State Update Phase 1/1 Image State Update Phase 2/2 You then enable the shadowd service: root@solaris:~# svcadm enable shadowd root@solaris:~# svcs shadowd STATE STIME FMRI online 7:16:09 svc:/system/filesystem/shadowd:default Set the filesystem to be migrated to read-only root@solaris:~# zfs set readonly=on oldstuff/forgotten Create a new zfs file system with the shadow property set to the file system to be migrated: root@solaris:~# zfs create -o shadow=file:///oldstuff/forgotten mypool/remembered Use the shadowstat(1M) command to see the progress of the migration: root@solaris:~# shadowstat EST BYTES BYTES ELAPSED DATASET XFRD LEFT ERRORS TIME mypool/remembered 92.5M - - 00:00:59 mypool/remembered 99.1M 302M - 00:01:09 mypool/remembered 109M 260M - 00:01:19 mypool/remembered 133M 304M - 00:01:29 mypool/remembered 149M 339M - 00:01:39 mypool/remembered 156M 86.4M - 00:01:49 mypool/remembered 156M 8E 29 (completed) Note that if you had created /mypool/remembered as encrypted, this would be the preferred method of encrypting existing data. Similarly for compressing or deduplicating existing data. The procedure for migrating a file system over NFS is similar - see the ZFS Administration manual. That concludes this lab session.

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  • Common Live Upgrade problems

    - by user12611829
    As I have worked with customers deploying Live Upgrade in their environments, several problems seem to surface over and over. With this blog article, I will try to collect these troubles, as well as suggest some workarounds. If this sounds like the beginnings of a Wiki, you would be right. At present, there is not enough material for one, so we will use this blog for the time being. I do expect new material to be posted on occasion, so if you wish to bookmark it for future reference, a permanent link can be found here. Live Upgrade copies over ZFS root clone This was introduced in Solaris 10 10/09 (u8) and the root of the problem is a duplicate entry in the source boot environments ICF configuration file. Prior to u8, a ZFS root file system was not included in /etc/vfstab, since the mount is implicit at boot time. Starting with u8, the root file system is included in /etc/vfstab, and when the boot environment is scanned to create the ICF file, a duplicate entry is recorded. Here's what the error looks like. # lucreate -n s10u9-baseline Checking GRUB menu... System has findroot enabled GRUB Analyzing system configuration. Comparing source boot environment file systems with the file system(s) you specified for the new boot environment. Determining which file systems should be in the new boot environment. Updating boot environment description database on all BEs. Updating system configuration files. Creating configuration for boot environment . Source boot environment is . Creating boot environment . Creating file systems on boot environment . Creating file system for in zone on . The error indicator ----- /usr/lib/lu/lumkfs: test: unknown operator zfs Populating file systems on boot environment . Checking selection integrity. Integrity check OK. Populating contents of mount point . This should not happen ------ Copying. Ctrl-C and cleanup If you weren't paying close attention, you might not even know this is an error. The symptoms are lucreate times that are way too long due to the extraneous copy, or the one that alerted me to the problem, the root file system is filling up - again thanks to a redundant copy. This problem has already been identified and corrected, and a patch (121431-58 or later for x86, 121430-57 for SPARC) is available. Unfortunately, this patch has not yet made it into the Solaris 10 Recommended Patch Cluster. Applying the prerequisite patches from the latest cluster is a recommendation from the Live Upgrade Survival Guide blog, so an additional step will be required until the patch is included. Let's see how this works. # patchadd -p | grep 121431 Patch: 121429-13 Obsoletes: Requires: 120236-01 121431-16 Incompatibles: Packages: SUNWluzone Patch: 121431-54 Obsoletes: 121436-05 121438-02 Requires: Incompatibles: Packages: SUNWlucfg SUNWluu SUNWlur # unzip 121431-58 # patchadd 121431-58 Validating patches... Loading patches installed on the system... Done! Loading patches requested to install. Done! Checking patches that you specified for installation. Done! Approved patches will be installed in this order: 121431-58 Checking installed patches... Executing prepatch script... Installing patch packages... Patch 121431-58 has been successfully installed. See /var/sadm/patch/121431-58/log for details Executing postpatch script... Patch packages installed: SUNWlucfg SUNWlur SUNWluu # lucreate -n s10u9-baseline Checking GRUB menu... System has findroot enabled GRUB Analyzing system configuration. INFORMATION: Unable to determine size or capacity of slice . Comparing source boot environment file systems with the file system(s) you specified for the new boot environment. Determining which file systems should be in the new boot environment. INFORMATION: Unable to determine size or capacity of slice . Updating boot environment description database on all BEs. Updating system configuration files. Creating configuration for boot environment . Source boot environment is . Creating boot environment . Cloning file systems from boot environment to create boot environment . Creating snapshot for on . Creating clone for on . Setting canmount=noauto for in zone on . Saving existing file in top level dataset for BE as //boot/grub/menu.lst.prev. Saving existing file in top level dataset for BE as //boot/grub/menu.lst.prev. Saving existing file in top level dataset for BE as //boot/grub/menu.lst.prev. File propagation successful Copied GRUB menu from PBE to ABE No entry for BE in GRUB menu Population of boot environment successful. Creation of boot environment successful. This time it took just a few seconds. A cursory examination of the offending ICF file (/etc/lu/ICF.3 in this case) shows that the duplicate root file system entry is now gone. # cat /etc/lu/ICF.3 s10u8-baseline:-:/dev/zvol/dsk/panroot/swap:swap:8388608 s10u8-baseline:/:panroot/ROOT/s10u8-baseline:zfs:0 s10u8-baseline:/vbox:pandora/vbox:zfs:0 s10u8-baseline:/setup:pandora/setup:zfs:0 s10u8-baseline:/export:pandora/export:zfs:0 s10u8-baseline:/pandora:pandora:zfs:0 s10u8-baseline:/panroot:panroot:zfs:0 s10u8-baseline:/workshop:pandora/workshop:zfs:0 s10u8-baseline:/export/iso:pandora/iso:zfs:0 s10u8-baseline:/export/home:pandora/home:zfs:0 s10u8-baseline:/vbox/HardDisks:pandora/vbox/HardDisks:zfs:0 s10u8-baseline:/vbox/HardDisks/WinXP:pandora/vbox/HardDisks/WinXP:zfs:0 Solaris 10 9/10 introduces new autoregistration file This one is actually mentioned in the Oracle Solaris 9/10 release notes. I know, I hate it when that happens too. Here's what the "error" looks like. # luupgrade -u -s /mnt -n s10u9-baseline System has findroot enabled GRUB No entry for BE in GRUB menu Copying failsafe kernel from media. 61364 blocks miniroot filesystem is Mounting miniroot at ERROR: The auto registration file does not exist or incomplete. The auto registration file is mandatory for this upgrade. Use -k argument along with luupgrade command. autoreg_file is path to auto registration information file. See sysidcfg(4) for a list of valid keywords for use in this file. The format of the file is as follows. oracle_user=xxxx oracle_pw=xxxx http_proxy_host=xxxx http_proxy_port=xxxx http_proxy_user=xxxx http_proxy_pw=xxxx For more details refer "Oracle Solaris 10 9/10 Installation Guide: Planning for Installation and Upgrade". As with the previous problem, this is also easy to work around. Assuming that you don't want to use the auto-registration feature at upgrade time, create a file that contains just autoreg=disable and pass the filename on to luupgrade. Here is an example. # echo "autoreg=disable" /var/tmp/no-autoreg # luupgrade -u -s /mnt -k /var/tmp/no-autoreg -n s10u9-baseline System has findroot enabled GRUB No entry for BE in GRUB menu Copying failsafe kernel from media. 61364 blocks miniroot filesystem is Mounting miniroot at ####################################################################### NOTE: To improve products and services, Oracle Solaris communicates configuration data to Oracle after rebooting. You can register your version of Oracle Solaris to capture this data for your use, or the data is sent anonymously. For information about what configuration data is communicated and how to control this facility, see the Release Notes or www.oracle.com/goto/solarisautoreg. INFORMATION: After activated and booted into new BE , Auto Registration happens automatically with the following Information autoreg=disable ####################################################################### Validating the contents of the media . The media is a standard Solaris media. The media contains an operating system upgrade image. The media contains version . Constructing upgrade profile to use. Locating the operating system upgrade program. Checking for existence of previously scheduled Live Upgrade requests. Creating upgrade profile for BE . Checking for GRUB menu on ABE . Saving GRUB menu on ABE . Checking for x86 boot partition on ABE. Determining packages to install or upgrade for BE . Performing the operating system upgrade of the BE . CAUTION: Interrupting this process may leave the boot environment unstable or unbootable. The Live Upgrade operation now proceeds as expected. Once the system upgrade is complete, we can manually register the system. If you want to do a hands off registration during the upgrade, see the Oracle Solaris Auto Registration section of the Oracle Solaris Release Notes for instructions on how to do that. Technocrati Tags: Oracle Solaris Patching Live Upgrade var sc_project=1193495; var sc_invisible=1; var sc_security="a46f6831";

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  • How to fix “The requested service, ‘net.pipe://localhost/SecurityTokenServiceApplication/appsts.svc’ could not be activated.”

    - by ybbest
    Problem: When I try to publish a SharePoint2013 workflow, I received the error: The requested service, ‘net.pipe://localhost/SecurityTokenServiceApplication/appsts.svc’ could not be activated. After that, my workflow stopped working and every time I start a work I receive the following error message: System.ApplicationException: PreconditionFailed ---> System.ApplicationException: Error in the application. --- End of inner exception stack trace --- at System.Activities.Statements.Throw.Execute(CodeActivityContext context) at System.Activities.CodeActivity.InternalExecute(ActivityInstance instance, ActivityExecutor executor, BookmarkManager bookmarkManager) at System.Activities.Runtime.ActivityExecutor.ExecuteActivityWorkItem.ExecuteBody(ActivityExecutor executor, BookmarkManager bookmarkManager, Location resultLocation) Analysis: After analysis, I found the error by visiting the http://localhost:32843/SecurityTokenServiceApplication/securitytoken.svc and the error I got on the message is                                                                                                                                              Solution: The solution is basically getting more memory to the server. For development environment, you can restart your noderunner.exe or some other services to release some memories. To verify you have enough memory    you can browse to http://localhost:32843/SecurityTokenServiceApplication/securitytoken.svc , it should return the information below. Then you can republish your workflow and it will work like a charm.

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  • Migration from Exchange to BPOS - Microsoft Assessment and Planning (MAP) Toolkit Link

    - by Harish Pavithran
    The Microsoft Assessment and Planning (MAP) Toolkit is an agentless toolkit that finds computers on a network and performs a detailed inventory of the computers using Windows Management Instrumentation (WMI) and the Remote Registry Service. The data and analysis provided by this toolkit can significantly simplify the planning process for migrating to Windows® 7, Windows Vista®, Microsoft Office 2007, Windows Server® 2008 R2, Windows Server 2008, Hyper-V, Microsoft Application Virtualization, Microsoft SQL Server 2008, and Forefront® Client Security and Network Access Protection. Assessments for Windows Server 2008 R2, Windows Server 2008, Windows 7, and Windows Vista include device driver availability as well as recommendations for hardware upgrades. If you are interested in server virtualization planning, MAP provides the ability to gather performance metrics from computers you are considering for virtualization and a feature to model a library of potential host hardware and storage configurations. This information can be used to quickly perform "what-if" analysis using Hyper-V and Microsoft Virtual Server 2005 R2 as virtualization platforms. http://www.microsoft.com/downloads/details.aspx?displaylang=en&FamilyID=67240b76-3148-4e49-943d-4d9ea7f77730

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  • E-Business Suite Certified with DB 11.2.0.2 on HP-UX Itanium and IBM AIX on Power

    - by Steven Chan
    As a follow-on to our previous certification announcement, Oracle Database 11g Release 2 (11.2.0.2) s now certified with Oracle E-Business Suite Release 12 (12.0.x and 12.1.x) and 11i (11.5.10.2 + ATG PF.H RUP 6 and higher) on the following additional platforms:Oracle E-Business Suite Release 12HP-UX Itanium (11.31) IBM AIX on Power Systems (64-bit) (5.3, 6.1) Oracle E-Business Suite Release 11iIBM AIX on Power Systems (64-bit) (5.3, 6.1)

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  • Trace File Source Adapter

    The Trace File Source adapter is a useful addition to your SSIS toolbox.  It allows you to read 2005 and 2008 profiler traces stored as .trc files and read them into the Data Flow.  From there you can perform filtering and analysis using the power of SSIS. There is no need for a SQL Server connection this just uses the trace file. Example Usages Cache warming for SQL Server Analysis Services Reading the flight recorder Find out the longest running queries on a server Analyze statements for CPU, memory by user or some other criteria you choose Properties The Trace File Source adapter has two properties, both of which combine to control the source trace file that is read at runtime. SQL Server 2005 and SQL Server 2008 trace files are supported for both the Database Engine (SQL Server) and Analysis Services. The properties are managed by the Editor form or can be set directly from the Properties Grid in Visual Studio. Property Type Description AccessMode Enumeration This property determines how the Filename property is interpreted. The values available are: DirectInput Variable Filename String This property holds the path for trace file to load (*.trc). The value is either a full path, or the name of a variable which contains the full path to the trace file, depending on the AccessMode property. Trace Column Definition Hopefully the majority of you can skip this section entirely, but if you encounter some problems processing a trace file this may explain it and allow you to fix the problem. The component is built upon the trace management API provided by Microsoft. Unfortunately API methods that expose the schema of a trace file have known issues and are unreliable, put simply the data often differs from what was specified. To overcome these limitations the component uses  some simple XML files. These files enable the trace column data types and sizing attributes to be overridden. For example SQL Server Profiler or TMO generated structures define EventClass as an integer, but the real value is a string. TraceDataColumnsSQL.xml  - SQL Server Database Engine Trace Columns TraceDataColumnsAS.xml    - SQL Server Analysis Services Trace Columns The files can be found in the %ProgramFiles%\Microsoft SQL Server\100\DTS\PipelineComponents folder, e.g. "C:\Program Files\Microsoft SQL Server\100\DTS\PipelineComponents\TraceDataColumnsSQL.xml" "C:\Program Files\Microsoft SQL Server\100\DTS\PipelineComponents\TraceDataColumnsAS.xml" If at runtime the component encounters a type conversion or sizing error it is most likely due to a discrepancy between the column definition as reported by the API and the actual value encountered. Whilst most common issues have already been fixed through these files we have implemented specific exception traps to direct you to the files to enable you to fix any further issues due to different usage or data scenarios that we have not tested. An example error that you can fix through these files is shown below. Buffer exception writing value to column 'Column Name'. The string value is 999 characters in length, the column is only 111. Columns can be overridden by the TraceDataColumns XML files in "C:\Program Files\Microsoft SQL Server\100\DTS\PipelineComponents\TraceDataColumnsAS.xml". Installation The component is provided as an MSI file which you can download and run to install it. This simply places the files on disk in the correct locations and also installs the assemblies in the Global Assembly Cache as per Microsoft’s recommendations. You may need to restart the SQL Server Integration Services service, as this caches information about what components are installed, as well as restarting any open instances of Business Intelligence Development Studio (BIDS) / Visual Studio that you may be using to build your SSIS packages. Finally you will have to add the transformation to the Visual Studio toolbox manually. Right-click the toolbox, and select Choose Items.... Select the SSIS Data Flow Items tab, and then check the Trace File Source transformation in the Choose Toolbox Items window. This process has been described in detail in the related FAQ entry for How do I install a task or transform component? We recommend you follow best practice and apply the current Microsoft SQL Server Service pack to your SQL Server servers and workstations. Please note that the Microsoft Trace classes used in the component are not supported on 64-bit platforms. To use the Trace File Source on a 64-bit host you need to ensure you have the 32-bit (x86) tools available, and the way you execute your package is setup to use them, please see the help topic 64-bit Considerations for Integration Services for more details. Downloads Trace Sources for SQL Server 2005 -- Trace Sources for SQL Server 2008 Version History SQL Server 2008 Version 2.0.0.382 - SQL Sever 2008 public release. (9 Apr 2009) SQL Server 2005 Version 1.0.0.321 - SQL Server 2005 public release. (18 Nov 2008) -- Screenshots

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  • Software Architecture and Software Architecture Evaluation

    How many of us have worked at places where the concept of software architecture was ridiculed for wasting time and money? Even more ridiculous to them was the concept of evaluating software architecture. I think the next time that I am in this situation again, and I hope that I never am I will have to push for this methodology in the software development life cycle. I have spent way too many hours/days/months/years working poorly architected systems or systems that were just built ADHOC. This in software development must stop. I can understand why systems get like this due to overzealous sales staff, demanding management that wants everything yesterday, and project managers asking if things are done yet before the project has even started. But seriously, some time must be spent designing the applications that we write along with evaluating the architecture so that it will integrate will within the existing systems of an origination. If placed in this situation again, I will strive to gain buying from key players within the business, for example: Senior Software Engineers\Developers, Software Architects, Project Managers, Software Quality Assurance, Technical Services, Operations, and Finance in order for this idea to succeed with upper management. In order to convince these key players I will have to show them the benefits of architecture and even more benefits of evaluating software architecture on a system wide level. Benefits of Software Architecture Evaluation Places Stakeholders in the Same Room to Communicate Ensures Delivery of Detailed Quality Goals Prioritizes Conflicting Goals Requires Clear Explication Improves the Quality of Documentation Discovers Opportunities for Cross-Project Reuse Improves Architecture Practices Once I had key player buy in then and only then would I approach upper management about my plan regarding implementing the concept of software architecture and using evaluation to ensure that the software being designed is the proper architecture for the project. In addition to the benefits listed above I would also show upper management how much time is being wasted by not doing these evaluations. For example, if project X cost us Y amount, then why do we have several implementations in various forms of X and how much money and time could we have saved if we just reused the existing code base to give each system the same functionality that was already created? After this, I would mention what would happen if we had 50 instances of this situation? Then I would show them how the software architecture evaluation process would have prevented this and that the optimization could have leveraged its existing code base to increase the speed and quality of its development. References:Carnegie Mellon Software Engineering Institute (2011). Architecture Tradeoff Analysis Method from http://www.sei.cmu.edu/architecture/tools/evaluate/atam.cfm

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  • How to fix “The requested service, ‘net.pipe://localhost/SecurityTokenServiceApplication/appsts.svc’ could not be activated.”

    - by ybbest
    Problem: When I try to publish a SharePoint2013 workflow, I received the error: The requested service, ‘net.pipe://localhost/SecurityTokenServiceApplication/appsts.svc’ could not be activated. After that, my workflow stopped working and every time I start a work I receive the following error message: System.ApplicationException: PreconditionFailed ---> System.ApplicationException: Error in the application. --- End of inner exception stack trace --- at System.Activities.Statements.Throw.Execute(CodeActivityContext context) at System.Activities.CodeActivity.InternalExecute(ActivityInstance instance, ActivityExecutor executor, BookmarkManager bookmarkManager) at System.Activities.Runtime.ActivityExecutor.ExecuteActivityWorkItem.ExecuteBody(ActivityExecutor executor, BookmarkManager bookmarkManager, Location resultLocation) Analysis: After analysis, I found the error by visiting the http://localhost:32843/SecurityTokenServiceApplication/securitytoken.svc and the error I got on the message is                                                                                                                                              Solution: The solution is basically getting more memory to the server. For development environment, you can restart your noderunner.exe or some other services to release some memories. To verify you have enough memory    you can browse to http://localhost:32843/SecurityTokenServiceApplication/securitytoken.svc , it should return the information below. Then you can republish your workflow and it will work like a charm.

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  • Reinventing the Wheel – Automating Data Consistency Checks with Powershell

    - by Jonathan Kehayias
    When I started in my current position at the beginning of the year, one of the first things that I did was to schedule a sit down with the various teams of Analysts that exist in our organization to find out more about their systems.  One thing I am always interested in is the manual processes that people do routinely that might be able to be automated.   A couple of the analyst mentioned that they routinely run queries in their systems to identify issues so that they can proactively...(read more)

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  • Reinventing the Wheel – Automating Data Consistency Checks with Powershell

    - by Jonathan Kehayias
    When I started in my current position at the beginning of the year, one of the first things that I did was to schedule a sit down with the various teams of Analysts that exist in our organization to find out more about their systems.  One thing I am always interested in is the manual processes that people do routinely that might be able to be automated.   A couple of the analyst mentioned that they routinely run queries in their systems to identify issues so that they can proactively...(read more)

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  • SQL SERVER – Guest Post – Architecting Data Warehouse – Niraj Bhatt

    - by pinaldave
    Niraj Bhatt works as an Enterprise Architect for a Fortune 500 company and has an innate passion for building / studying software systems. He is a top rated speaker at various technical forums including Tech·Ed, MCT Summit, Developer Summit, and Virtual Tech Days, among others. Having run a successful startup for four years Niraj enjoys working on – IT innovations that can impact an enterprise bottom line, streamlining IT budgets through IT consolidation, architecture and integration of systems, performance tuning, and review of enterprise applications. He has received Microsoft MVP award for ASP.NET, Connected Systems and most recently on Windows Azure. When he is away from his laptop, you will find him taking deep dives in automobiles, pottery, rafting, photography, cooking and financial statements though not necessarily in that order. He is also a manager/speaker at BDOTNET, Asia’s largest .NET user group. Here is the guest post by Niraj Bhatt. As data in your applications grows it’s the database that usually becomes a bottleneck. It’s hard to scale a relational DB and the preferred approach for large scale applications is to create separate databases for writes and reads. These databases are referred as transactional database and reporting database. Though there are tools / techniques which can allow you to create snapshot of your transactional database for reporting purpose, sometimes they don’t quite fit the reporting requirements of an enterprise. These requirements typically are data analytics, effective schema (for an Information worker to self-service herself), historical data, better performance (flat data, no joins) etc. This is where a need for data warehouse or an OLAP system arises. A Key point to remember is a data warehouse is mostly a relational database. It’s built on top of same concepts like Tables, Rows, Columns, Primary keys, Foreign Keys, etc. Before we talk about how data warehouses are typically structured let’s understand key components that can create a data flow between OLTP systems and OLAP systems. There are 3 major areas to it: a) OLTP system should be capable of tracking its changes as all these changes should go back to data warehouse for historical recording. For e.g. if an OLTP transaction moves a customer from silver to gold category, OLTP system needs to ensure that this change is tracked and send to data warehouse for reporting purpose. A report in context could be how many customers divided by geographies moved from sliver to gold category. In data warehouse terminology this process is called Change Data Capture. There are quite a few systems that leverage database triggers to move these changes to corresponding tracking tables. There are also out of box features provided by some databases e.g. SQL Server 2008 offers Change Data Capture and Change Tracking for addressing such requirements. b) After we make the OLTP system capable of tracking its changes we need to provision a batch process that can run periodically and takes these changes from OLTP system and dump them into data warehouse. There are many tools out there that can help you fill this gap – SQL Server Integration Services happens to be one of them. c) So we have an OLTP system that knows how to track its changes, we have jobs that run periodically to move these changes to warehouse. The question though remains is how warehouse will record these changes? This structural change in data warehouse arena is often covered under something called Slowly Changing Dimension (SCD). While we will talk about dimensions in a while, SCD can be applied to pure relational tables too. SCD enables a database structure to capture historical data. This would create multiple records for a given entity in relational database and data warehouses prefer having their own primary key, often known as surrogate key. As I mentioned a data warehouse is just a relational database but industry often attributes a specific schema style to data warehouses. These styles are Star Schema or Snowflake Schema. The motivation behind these styles is to create a flat database structure (as opposed to normalized one), which is easy to understand / use, easy to query and easy to slice / dice. Star schema is a database structure made up of dimensions and facts. Facts are generally the numbers (sales, quantity, etc.) that you want to slice and dice. Fact tables have these numbers and have references (foreign keys) to set of tables that provide context around those facts. E.g. if you have recorded 10,000 USD as sales that number would go in a sales fact table and could have foreign keys attached to it that refers to the sales agent responsible for sale and to time table which contains the dates between which that sale was made. These agent and time tables are called dimensions which provide context to the numbers stored in fact tables. This schema structure of fact being at center surrounded by dimensions is called Star schema. A similar structure with difference of dimension tables being normalized is called a Snowflake schema. This relational structure of facts and dimensions serves as an input for another analysis structure called Cube. Though physically Cube is a special structure supported by commercial databases like SQL Server Analysis Services, logically it’s a multidimensional structure where dimensions define the sides of cube and facts define the content. Facts are often called as Measures inside a cube. Dimensions often tend to form a hierarchy. E.g. Product may be broken into categories and categories in turn to individual items. Category and Items are often referred as Levels and their constituents as Members with their overall structure called as Hierarchy. Measures are rolled up as per dimensional hierarchy. These rolled up measures are called Aggregates. Now this may seem like an overwhelming vocabulary to deal with but don’t worry it will sink in as you start working with Cubes and others. Let’s see few other terms that we would run into while talking about data warehouses. ODS or an Operational Data Store is a frequently misused term. There would be few users in your organization that want to report on most current data and can’t afford to miss a single transaction for their report. Then there is another set of users that typically don’t care how current the data is. Mostly senior level executives who are interesting in trending, mining, forecasting, strategizing, etc. don’t care for that one specific transaction. This is where an ODS can come in handy. ODS can use the same star schema and the OLAP cubes we saw earlier. The only difference is that the data inside an ODS would be short lived, i.e. for few months and ODS would sync with OLTP system every few minutes. Data warehouse can periodically sync with ODS either daily or weekly depending on business drivers. Data marts are another frequently talked about topic in data warehousing. They are subject-specific data warehouse. Data warehouses that try to span over an enterprise are normally too big to scope, build, manage, track, etc. Hence they are often scaled down to something called Data mart that supports a specific segment of business like sales, marketing, or support. Data marts too, are often designed using star schema model discussed earlier. Industry is divided when it comes to use of data marts. Some experts prefer having data marts along with a central data warehouse. Data warehouse here acts as information staging and distribution hub with spokes being data marts connected via data feeds serving summarized data. Others eliminate the need for a centralized data warehouse citing that most users want to report on detailed data. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Best Practices, Business Intelligence, Data Warehousing, Database, Pinal Dave, PostADay, Readers Contribution, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • New Netra SPARC T3 Servers

    - by Ferhat Hatay
    Today at the Mobile World Congress 2011, Oracle announced two new carrier-grade NEBS Level 3- certified servers: Oracle’s Netra SPARC T3-1 rackmount server and Oracle’s Netra SPARC T3-1BA ATCA blade server bringing the performance, scalability and power efficiency of the newest SPARC T3 processor to the communications market.    The Netra SPARC T3-1 server enclosure has a compact 20inch-deep carrier-grade rack-optimized design The new Netra SPARC T3 servers further expand Oracle’s complete portfolio for the communications industry, which includes carrier-grade servers, storage and application software to run operations support systems and service delivery platforms with easy migration capabilities and unmatched investment protection via the binary compatibility guarantee of the Oracle Solaris operating system. With advanced reliability, networking and security features built-in to Oracle Solaris – the most widely deployed carrier-grade OS – the systems announced today are uniquely suited for mission-critical core network infrastructure and service delivery. The world’s first carrier-grade system using the 16-core, 128-thread SPARC T3 processor, the Netra SPARC T3-1 server supports 2x the I/O bandwidth, 2x the memory and is 35 percent faster than the previous generation. With integrated on-chip 10 Gigabit Ethernet, on-chip cryptographic acceleration, and built-in, no-cost Oracle VM Server for SPARC and Oracle Solaris Containers for virtualization, the Netra SPARC T3-1 server is an ideal platform for consolidation, offering 128 virtual systems in a single server. As the next generation Netra SPARC ATCA blade, Netra SPARC T3-1BA ATCA blade server brings the PICMG 3.0 compatibility, NEBS Level 3 Certification, ETSI compliance and the Netra business practices to the customer solution. The Netra SPARC T3-1BA ATCA blade server can be mixed in the Sun Netra CT900 blade chassis with other ATCA UltraSPARC and x86 blades.     The Netra SPARC T3-1BA ATCA blade server   The Netra SPARC T3-1BA ATCA blade server delivers industry-leading scalability, density and cost efficiency with up to 36 SPARC T3 processors (3456 processing threads) in a single rack – a 50 percent increase over the previous generation. The Netra SPARC T3-1BA blade server also offers high-bandwidth and high-capacity I/O, with greater memory capacity to tackle the increasing business demands of the communications industry. For service providers faced with the rapid growth of broadband networks and the dramatic surge in global smartphone adoption, the new Netra SPARC T3 systems deliver continuous availability with massive scalability, tested and certified to run in the harshest conditions. More information Oracle’s Sun Netra Servers Scaling Throughput and Managing TCO with Oracle’s Netra SPARC T3-1 Servers Enabling End-to-End 10 Gigabit Ethernet in Oracle's Sun Netra ATCA Product Family Data Sheet: Netra SPARC T3-1BA ATCA Blade Server Data Sheet: Netra SPARC T3-1 Server Oracle Solaris: The Carrier Grade Operating System

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  • Taking AIIM at Social

    - by Christie Flanagan
    Today we are pleased to have a guest post from Christian Finn (@cfinn).  Christian is Senior Director of Product Management for Oracle WebCenter and heads up the WebCenter evangelist team.Last week I had the privilege of speaking at AIIM’s new conference in San Francisco.  AIIM, for those of you not familiar with it, is a global community of information professionals and got its start with ECM and imaging long ago. With 65,000+ members, AIIM has now set about broadening its scope to focus more on the intersection between systems of record (think traditional ECM) and systems of engagement (think social solutions).  So AIIM’s conference is a natural place to be for WebCenter types like me, who have a foot in both of those worlds.AIIM used to have their name on a very large tradeshow, but have changed direction now to run a small, intimate conference.  The lineup of keynotes was terrific, including David Pogue of The New York Times, Clay Shirky, author of Here Comes Everybody, and Ted Schadler, author of Empowered among many thought-provoking and engaging speakers. (Note: Ted will soon be featured in our Social Business webcast series. Stay tuned.)John Mancini and his team at AIIM did a fabulous job running the event and the engagement from the 450 attendees was sustained over the two and a half days.  Our proudest moment was having three finalists up for AIIM awards including: San Joaquin County, CA, for a justice case management system using WebCenter Content and Oracle BPM; Medtronic and Fishbowl Solutions for their innovative iPad solutions on WebCenter Content, and the government of Louisville, Kentucky/Jefferson County for their accounts payable solution using WebCenter Content’s Image & Process Management.  The highlight of the awards night was San Joaquin winning the small organization award against some tough competition.In addition to the conversations sparked at the show, AIIM promoted the whitepapers their industry task forces have produced on the impact and opportunities created by systems of engagement and systems of record. The task forces were led by: Geoffrey Moore, the renowned high tech marketing guru and author of Crossing The Chasm; and Andrew McAfee, who coined the term and wrote the book, Enterprise 2.0. (Note: Andy will also be featured soon on the Social Business webcast series.)  These free papers make short, excellent reading and you can download them on the AIIM website: Moore highlights the changes to Enterprise IT that the social revolution will engender, and McAfee covers where and how organizations are finding value in using social techniques to foster innovation, to scale Q&A across the organization, and to connect sales and marketing for greater efficiency and effectiveness. Moore’s whitepaper is here and McAfee’s whitepapers are available here. For the benefit of those who did not get a chance to attend the AIIM conference, I’ll be posting the topics of my AIIM presentation, “Three Principles for Fixing Your Broken Organization,” here on the WebCenter blog over the rest of this week and next in a series of posts.  

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  • Bunny Inc. – Episode 1. Mr. CIO meets Mr. Executive Manager

    - by kellsey.ruppel(at)oracle.com
    To make accurate and timely business decisions, executive managers are constantly in need of valuable information that is often hidden in old-style traditional systems. What can Mr. CIO come up with to help make Mr. Executive Manager's job easier at Bunny Inc.? Take a look and discover how you too can make informed business decisions by combining back-office systems with social media. Bunny Inc. -- Episode 1. Mr. CIO meets Mr. Executive ManagerTechnorati Tags: UXP, collaboration, enterprise 2.0, modern user experience, oracle, portals, webcenter, e20bunnies

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  • Engagement: Don’t Forget Your Employees!

    - by Kellsey Ruppel
    By Mark Brown, Sr. Director, Oracle WebCenter  This week we want to focus on Employee Engagement, and how it is critical to your business. Today we hear and read a great deal about “Customer Engagement” – and rightly so, it is those customers, whether they be traditional paying customers, citizens, students, club members, or whomever it is that are “paying the bills”.  A more engaged customer is more likely to make it easier to pay those bills by buying more, giving good reviews, or spreading the word of how wonderful their experience was. But what about those who are providing those services, those who design and make those goods; why is it that all too often they are left out of conversations concerning engagement? In fact, it is critical that we consider our employees as customers since they are using internal systems that run your organization the same way customers use external systems. Studies have shown that an organization in which the employees feel “engaged” or better able to make decisions, do their jobs, and are connected to their peers have better return to their stakeholders. (shareholders).  On the surface this seems obvious, happy employees are more productive employees. But it leads to the question – how many of our existing policies, systems and processes are actually reducing that level of engagement? Let’s look at a couple examples. If posting new information that may be of great value to everyone in the larger organization is hard to do because we use an antiquated system, then we’re making it hard to share and increasing the potential for duplicate work. If it is not trivially obvious how to create and publish this post, then chances are very high that I’ll put it on the bottom of my queue. And finally, when critical information is spread across various systems, intranet sites, workgroups and peoples inboxes, then it is very hard to learn and grow from that information.  These may sound trivial, but how often do we push things off not because it is intellectually challenging, we may have the answer at our fingertips, but because it is hard to make that information readily available.  If an engaged employee is a productive employee, then what can we do to increase their level of engagement? We can start by looking for opportunities to provide self-documenting self-service solutions. Our newer employees grew up using simplified web interfaces everyday and they loathe calling a help-desk unless it is the last resort. Sadly, many of our enterprise applications have not kept pace and we all still have processes that are based on sending an email -- like discount approvals, vacation requests, or even offer-letter approvals.   My suggestion is to pick one highly visible, high-impact process where employees are either reticent to execute on the process or openly complain about how cumbersome it is and look at the mechanism for that process. If there are better ways, streamlined steps, better UIs that could be done, then you have a candidate to reconfigure that process and make it more engaging. Looking to better engage your employees? Start here!

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  • GDD-BR 2010 [2F] Storage, Bigquery and Prediction APIs

    GDD-BR 2010 [2F] Storage, Bigquery and Prediction APIs Speaker: Patrick Chanezon Track: Cloud Computing Time slot: F [15:30 - 16:15] Room: 2 Level: 101 Google is expanding our storage products by introducing Google Storage for Developers. It offers a RESTful API for storing and accessing data at Google. Developers can take advantage of the performance and reliability of Google's storage infrastructure, as well as the advanced security and sharing capabilities. We will demonstrate key functionality of the product as well as customer use cases. Google relies heavily on data analysis and has developed many tools to understand large datasets. Two of these tools are now available on a limited sign-up basis to developers: (1) BigQuery: interactive analysis of very large data sets and (2) Prediction API: make informed predictions from your data. We will demonstrate their use and give instructions on how to get access. From: GoogleDevelopers Views: 1 0 ratings Time: 39:27 More in Science & Technology

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  • Webcast: The ART of Migrating and Modernizing IBM Mainframe Applications

    - by todd.little
    Tuxedo provides an excellent platform to migrate mainframe applications to distributed systems. As the only distributed transaction processing monitor that offers quality of service comparable or better than mainframe systems, Tuxedo allows customers to migrate their existing mainframe based applications to a platform with a much lower total cost of ownership. Please join us on Thursday April 29 at 10:00am Pacific Time for this exciting webcast covering the new Oracle Tuxedo Application Runtime for CICS and Batch 11g. Find out how easy it is to migrate your CICS and mainframe batch applications to Tuxedo.

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  • EPM 11.1.2 - R&A DATABASE CONNECTIONS DISAPPEAR FROM THE "DATABASE CONNECTION MANAGER

    - by Powder
    When accessing the database connection panel through Reporting and Analysis all previously entered database connection do not appear. This is due to a bug in the Windows SMB2 protocol. To work around this bug you have to disable the protocol. On Windows 2008 the protocol is automatically enabled. This needs to be done on both the servers and the clients. Note that “server” is the server which hosts RAF repository service and RM1 folder, “client” – server which hosts replicated Repository service that accesses repository files via network i.e. \\<server_host>\RM1  In order to disable SMB 2.0 on the server side, follow these steps:  1. Run "regedit" on Windows Server 2008 based computer.  2. Expand and locate the sub tree as follows.  HKLM\System\CurrentControlSet\Services\LanmanServer\Parameters  3. Add a new REG_DWORD key with the name of "Smb2" (without quotation mark)  Value name: Smb2  Value type: REG_DWORD  0 = disabled  1 = enabled 4. Set the value to 0 to disable SMB 2.0, or set it to 1 to re-enable SMB 2.0.  5. Reboot the server.  To disable SMB 2.0 for Windows Vista or Windows Server 2008 systems that are the “client” systems run the following commands:  sc config lanmanworkstation depend= bowser/mrxsmb10/nsi  sc config mrxsmb20 start= disabled  Note there's an extra " " (space) after the "=" sign.  To enable back SMB 2.0 for Windows Vista or Windows Server 2008 systems that  are the “client” systems run the following commands: sc config lanmanworkstation depend= bowser/mrxsmb10/mrxsmb20/nsi  sc config mrxsmb20 start= auto  Again, note there's an extra " " (space) after the "=" sign. 

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  • New e learning course on Business Intelligence

    - by simonsabin
    I just got this from fello SQL MVP Chris Testa O'Neil   "I am pleased to announce the release of the Author Model eCourseCollection 6233 AE: Implementing and Maintaining Business Intelligence in Microsoft® SQL Server® 2008: Integration Services, Reporting Services and Analysis Services This 24-hour collection provides you with the skills and knowledge required for implementing and maintaining business intelligence solutions on SQL Server 2008. You will learn about the SQL Server technologies, such as Integration Services, Analysis Services, and Reporting Services. This collection also helps students to prepare for Exam 70-448 and can be accessed from: http://www.microsoft.com/learning/elearning/course/6233.mspx   

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  • Is RTD Stateless or Stateful?

    - by [email protected]
    Yes.   A stateless service is one where each request is an independent transaction that can be processed by any of the servers in a cluster.  A stateful service is one where state is kept in a server's memory from transaction to transaction, thus necessitating the proper routing of requests to the right server. The main advantage of stateless systems is simplicity of design. The main advantage of stateful systems is performance. I'm often asked whether RTD is a stateless or stateful service, so I wanted to clarify this issue in depth so that RTD's architecture will be properly understood. The short answer is: "RTD can be configured as a stateless or stateful service." The performance difference between stateless and stateful systems can be very significant, and while in a call center implementation it may be reasonable to use a pure stateless configuration, a web implementation that produces thousands of requests per second is practically impossible with a stateless configuration. RTD's performance is orders of magnitude better than most competing systems. RTD was architected from the ground up to achieve this performance. Features like automatic and dynamic compression of prediction models, automatic translation of metadata to machine code, lack of interpreted languages, and separation of model building from decisioning contribute to achieving this performance level. Because  of this focus on performance we decided to have RTD's default configuration work in a stateful manner. By being stateful RTD requests are typically handled in a few milliseconds when repeated requests come to the same session. Now, those readers that have participated in implementations of RTD know that RTD's architecture is also focused on reducing Total Cost of Ownership (TCO) with features like automatic model building, automatic time windows, automatic maintenance of database tables, automatic evaluation of data mining models, automatic management of models partitioned by channel, geography, etcetera, and hot swapping of configurations. How do you reconcile the need for a low TCO and the need for performance? How do you get the performance of a stateful system with the simplicity of a stateless system? The answer is that you make the system behave like a stateless system to the exterior, but you let it automatically take advantage of situations where being stateful is better. For example, one of the advantages of stateless systems is that you can route a message to any server in a cluster, without worrying about sending it to the same server that was handling the session in previous messages. With an RTD stateful configuration you can still route the message to any server in the cluster, so from the point of view of the configuration of other systems, it is the same as a stateless service. The difference though comes in performance, because if the message arrives to the right server, RTD can serve it without any external access to the session's state, thus tremendously reducing processing time. In typical implementations it is not rare to have high percentages of messages routed directly to the right server, while those that are not, are easily handled by forwarding the messages to the right server. This architecture usually provides the best of both worlds with performance and simplicity of configuration.   Configuring RTD as a pure stateless service A pure stateless configuration requires session data to be persisted at the end of handling each and every message and reloading that data at the beginning of handling any new message. This is of course, the root of the inefficiency of these configurations. This is also the reason why many "stateless" implementations actually do keep state to take advantage of a request coming back to the same server. Nevertheless, if the implementation requires a pure stateless decision service, this is easy to configure in RTD. The way to do it is: Mark every Integration Point to Close the session at the end of processing the message In the Session entity persist the session data on closing the session In the session entity check if a persisted version exists and load it An excellent solution for persisting the session data is Oracle Coherence, which provides a high performance, distributed cache that minimizes the performance impact of persisting and reloading the session. Alternatively, the session can be persisted to a local database. An interesting feature of the RTD stateless configuration is that it can cope with serializing concurrent requests for the same session. For example, if a web page produces two requests to the decision service, these requests could come concurrently to the decision services and be handled by different servers. Most stateless implementation would have the two requests step onto each other when saving the state, or fail one of the messages. When properly configured, RTD will make one message wait for the other before processing.   A Word on Context Using the context of a customer interaction typically significantly increases lift. For example, offer success in a call center could double if the context of the call is taken into account. For this reason, it is important to utilize the contextual information in decision making. To make the contextual information available throughout a session it needs to be persisted. When there is a well defined owner for the information then there is no problem because in case of a session restart, the information can be easily retrieved. If there is no official owner of the information, then RTD can be configured to persist this information.   Once again, RTD provides flexibility to ensure high performance when it is adequate to allow for some loss of state in the rare cases of server failure. For example, in a heavy use web site that serves 1000 pages per second the navigation history may be stored in the in memory session. In such sites it is typical that there is no OLTP that stores all the navigation events, therefore if an RTD server were to fail, it would be possible for the navigation to that point to be lost (note that a new session would be immediately established in one of the other servers). In most cases the loss of this navigation information would be acceptable as it would happen rarely. If it is desired to save this information, RTD would persist it every time the visitor navigates to a new page. Note that this practice is preferred whether RTD is configured in a stateless or stateful manner.  

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