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Oracle HRMS API – Delete Employee Element Entry

- by PRajkumar

API -- pay_element_entry_api.delete_element_entry Example -- Consider Employee has Element Entry "Bonus". Lets try to Delete Element Entry "Bonus" using delete API DECLARE ld_effective_start_date DATE; ld_effective_end_date DATE; lb_delete_warning BOOLEAN; ln_object_version_number PAY_ELEMENT_ENTRIES_F.OBJECT_VERSION_NUMBER%TYPE := 1; BEGIN -- Delete Element Entry -- ------------------------------- pay_element_entry_api.delete_element_entry ( -- Input data elements -- ------------------------------ p_datetrack_delete_mode => 'DELETE', p_effective_date => TO_DATE('23-JUNE-2011'), p_element_entry_id => 118557, -- Output data elements -- -------------------------------- p_object_version_number => ln_object_version_number, p_effective_start_date => ld_effective_start_date, p_effective_end_date => ld_effective_end_date, p_delete_warning => lb_delete_warning ); COMMIT; EXCEPTION WHEN OTHERS THEN ROLLBACK; dbms_output.put_line(SQLERRM); END; / SHOW ERR;

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More CPU cores may not always lead to better performance – MAXDOP and query memory distribution in spotlight

- by sqlworkshops

More hardware normally delivers better performance, but there are exceptions where it can hinder performance. Understanding these exceptions and working around it is a major part of SQL Server performance tuning. When a memory allocating query executes in parallel, SQL Server distributes memory to each task that is executing part of the query in parallel. In our example the sort operator that executes in parallel divides the memory across all tasks assuming even distribution of rows. Common memory allocating queries are that perform Sort and do Hash Match operations like Hash Join or Hash Aggregation or Hash Union. In reality, how often are column values evenly distributed, think about an example; are employees working for your company distributed evenly across all the Zip codes or mainly concentrated in the headquarters? What happens when you sort result set based on Zip codes? Do all products in the catalog sell equally or are few products hot selling items? One of my customers tested the below example on a 24 core server with various MAXDOP settings and here are the results:MAXDOP 1: CPU time = 1185 ms, elapsed time = 1188 msMAXDOP 4: CPU time = 1981 ms, elapsed time = 1568 msMAXDOP 8: CPU time = 1918 ms, elapsed time = 1619 msMAXDOP 12: CPU time = 2367 ms, elapsed time = 2258 msMAXDOP 16: CPU time = 2540 ms, elapsed time = 2579 msMAXDOP 20: CPU time = 2470 ms, elapsed time = 2534 msMAXDOP 0: CPU time = 2809 ms, elapsed time = 2721 ms - all 24 cores.In the above test, when the data was evenly distributed, the elapsed time of parallel query was always lower than serial query. Why does the query get slower and slower with more CPU cores / higher MAXDOP? Maybe you can answer this question after reading the article; let me know: [email protected]. Well you get the point, let’s see an example. The best way to learn is to practice. To create the below tables and reproduce the behavior, join the mailing list by using this link: www.sqlworkshops.com/ml and I will send you the table creation script. Let’s update the Employees table with 49 out of 50 employees located in Zip code 2001. update Employees set Zip = EmployeeID / 400 + 1 where EmployeeID % 50 = 1 update Employees set Zip = 2001 where EmployeeID % 50 != 1 go update statistics Employees with fullscan go Let’s create the temporary table #FireDrill with all possible Zip codes. drop table #FireDrill go create table #FireDrill (Zip int primary key) insert into #FireDrill select distinct Zip from Employees update statistics #FireDrill with fullscan go Let’s execute the query serially with MAXDOP 1. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --First serially with MAXDOP 1 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e inner join #FireDrill fd on (e.Zip = fd.Zip) order by e.Zip option (maxdop 1) goThe query took 1011 ms to complete. The execution plan shows the 77816 KB of memory was granted while the estimated rows were 799624. No Sort Warnings in SQL Server Profiler. Now let’s execute the query in parallel with MAXDOP 0. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --In parallel with MAXDOP 0 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e inner join #FireDrill fd on (e.Zip = fd.Zip) order by e.Zip option (maxdop 0) go The query took 1912 ms to complete. The execution plan shows the 79360 KB of memory was granted while the estimated rows were 799624. The estimated number of rows between serial and parallel plan are the same. The parallel plan has slightly more memory granted due to additional overhead. Sort properties shows the rows are unevenly distributed over the 4 threads. Sort Warnings in SQL Server Profiler. Intermediate Summary: The reason for the higher duration with parallel plan was sort spill. This is due to uneven distribution of employees over Zip codes, especially concentration of 49 out of 50 employees in Zip code 2001. Now let’s update the Employees table and distribute employees evenly across all Zip codes. update Employees set Zip = EmployeeID / 400 + 1 go update statistics Employees with fullscan go Let’s execute the query serially with MAXDOP 1. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --Serially with MAXDOP 1 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e inner join #FireDrill fd on (e.Zip = fd.Zip) order by e.Zip option (maxdop 1) go The query took 751 ms to complete. The execution plan shows the 77816 KB of memory was granted while the estimated rows were 784707. No Sort Warnings in SQL Server Profiler. Now let’s execute the query in parallel with MAXDOP 0. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --In parallel with MAXDOP 0 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e inner join #FireDrill fd on (e.Zip = fd.Zip) order by e.Zip option (maxdop 0) go The query took 661 ms to complete. The execution plan shows the 79360 KB of memory was granted while the estimated rows were 784707. Sort properties shows the rows are evenly distributed over the 4 threads. No Sort Warnings in SQL Server Profiler. Intermediate Summary: When employees were distributed unevenly, concentrated on 1 Zip code, parallel sort spilled while serial sort performed well without spilling to tempdb. When the employees were distributed evenly across all Zip codes, parallel sort and serial sort did not spill to tempdb. This shows uneven data distribution may affect the performance of some parallel queries negatively. For detailed discussion of memory allocation, refer to webcasts available at www.sqlworkshops.com/webcasts. Some of you might conclude from the above execution times that parallel query is not faster even when there is no spill. Below you can see when we are joining limited amount of Zip codes, parallel query will be fasted since it can use Bitmap Filtering. Let’s update the Employees table with 49 out of 50 employees located in Zip code 2001. update Employees set Zip = EmployeeID / 400 + 1 where EmployeeID % 50 = 1 update Employees set Zip = 2001 where EmployeeID % 50 != 1 go update statistics Employees with fullscan go Let’s create the temporary table #FireDrill with limited Zip codes. drop table #FireDrill go create table #FireDrill (Zip int primary key) insert into #FireDrill select distinct Zip from Employees where Zip between 1800 and 2001 update statistics #FireDrill with fullscan go Let’s execute the query serially with MAXDOP 1. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --Serially with MAXDOP 1 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e inner join #FireDrill fd on (e.Zip = fd.Zip) order by e.Zip option (maxdop 1) go The query took 989 ms to complete. The execution plan shows the 77816 KB of memory was granted while the estimated rows were 785594. No Sort Warnings in SQL Server Profiler. Now let’s execute the query in parallel with MAXDOP 0. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --In parallel with MAXDOP 0 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e inner join #FireDrill fd on (e.Zip = fd.Zip) order by e.Zip option (maxdop 0) go The query took 1799 ms to complete. The execution plan shows the 79360 KB of memory was granted while the estimated rows were 785594. Sort Warnings in SQL Server Profiler. The estimated number of rows between serial and parallel plan are the same. The parallel plan has slightly more memory granted due to additional overhead. Intermediate Summary: The reason for the higher duration with parallel plan even with limited amount of Zip codes was sort spill. This is due to uneven distribution of employees over Zip codes, especially concentration of 49 out of 50 employees in Zip code 2001. Now let’s update the Employees table and distribute employees evenly across all Zip codes. update Employees set Zip = EmployeeID / 400 + 1 go update statistics Employees with fullscan go Let’s execute the query serially with MAXDOP 1. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --Serially with MAXDOP 1 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e inner join #FireDrill fd on (e.Zip = fd.Zip) order by e.Zip option (maxdop 1) go The query took 250 ms to complete. The execution plan shows the 9016 KB of memory was granted while the estimated rows were 79973.8. No Sort Warnings in SQL Server Profiler. Now let’s execute the query in parallel with MAXDOP 0. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --In parallel with MAXDOP 0 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e inner join #FireDrill fd on (e.Zip = fd.Zip) order by e.Zip option (maxdop 0) go The query took 85 ms to complete. The execution plan shows the 13152 KB of memory was granted while the estimated rows were 784707. No Sort Warnings in SQL Server Profiler. Here you see, parallel query is much faster than serial query since SQL Server is using Bitmap Filtering to eliminate rows before the hash join. Parallel queries are very good for performance, but in some cases it can hinder performance. If one identifies the reason for these hindrances, then it is possible to get the best out of parallelism. I covered many aspects of monitoring and tuning parallel queries in webcasts (www.sqlworkshops.com/webcasts) and articles (www.sqlworkshops.com/articles). I suggest you to watch the webcasts and read the articles to better understand how to identify and tune parallel query performance issues. Summary: One has to avoid sort spill over tempdb and the chances of spills are higher when a query executes in parallel with uneven data distribution. Parallel query brings its own advantage, reduced elapsed time and reduced work with Bitmap Filtering. So it is important to understand how to avoid spills over tempdb and when to execute a query in parallel. I explain these concepts with detailed examples in my webcasts (www.sqlworkshops.com/webcasts), I recommend you to watch them. The best way to learn is to practice. To create the above tables and reproduce the behavior, join the mailing list at www.sqlworkshops.com/ml and I will send you the relevant SQL Scripts. Register for the upcoming 3 Day Level 400 Microsoft SQL Server 2008 and SQL Server 2005 Performance Monitoring & Tuning Hands-on Workshop in London, United Kingdom during March 15-17, 2011, click here to register / Microsoft UK TechNet.These are hands-on workshops with a maximum of 12 participants and not lectures. For consulting engagements click here. Disclaimer and copyright information:This article refers to organizations and products that may be the trademarks or registered trademarks of their various owners. Copyright of this article belongs to R Meyyappan / www.sqlworkshops.com. You may freely use the ideas and concepts discussed in this article with acknowledgement (www.sqlworkshops.com), but you may not claim any of it as your own work. This article is for informational purposes only; you use any of the suggestions given here entirely at your own risk. Register for the upcoming 3 Day Level 400 Microsoft SQL Server 2008 and SQL Server 2005 Performance Monitoring & Tuning Hands-on Workshop in London, United Kingdom during March 15-17, 2011, click here to register / Microsoft UK TechNet.These are hands-on workshops with a maximum of 12 participants and not lectures. For consulting engagements click here. R Meyyappan [email protected] LinkedIn: http://at.linkedin.com/in/rmeyyappan

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Ops Center 12c - Provisioning Solaris Using a Card-Based NIC

- by scottdickson

It's been a long time since last I added something here, but having some conversations this last week, I got inspired to update things. I've been spending a lot of time with Ops Center for managing and installing systems these days. So, I suspect a number of my upcoming posts will be in that area. Today, I want to look at how to provision Solaris using Ops Center when your network is not connected to one of the built-in NICs. We'll talk about how this can work for both Solaris 10 and Solaris 11, since they are pretty similar. In both cases, WANboot is a key piece of the story. Here's what I want to do: I have a Sun Fire T2000 server with a Quad-GbE nxge card installed. The only network is connected to port 2 on that card rather than the built-in network interfaces. I want to install Solaris on it across the network, either Solaris 10 or Solaris 11. I have met with a lot of customers lately who have a similar architecture. Usually, they have T4-4 servers with the network connected via 10GbE connections. Add to this mix the fact that I use Ops Center to manage the systems in my lab, so I really would like to add this to Ops Center. If possible, I would like this to be completely hands free. I can't quite do that yet. Close, but not quite. WANBoot or Old-Style NetBoot? When a system is installed from the network, it needs some help getting the process rolling. It has to figure out what its network configuration (IP address, gateway, etc.) ought to be. It needs to figure out what server is going to help it boot and install, and it needs the instructions for the installation. There are two different ways to bootstrap an installation of Solaris on SPARC across the network. The old way uses a broadcast of RARP or more recently DHCP to obtain the IP configuration and the rest of the information needed. The second is to explicitly configure this information in the OBP and use WANBoot for installation WANBoot has a number of benefits over broadcast-based installation: it is not restricted to a single subnet; it does not require special DHCP configuration or DHCP helpers; it uses standard HTTP and HTTPS protocols which traverse firewalls much more easily than NFS-based package installation. But, WANBoot is not available on really old hardware and WANBoot requires the use o Flash Archives in Solaris 10. Still, for many people, this is a great approach. As it turns out, WANBoot is necessary if you plan to install using a NIC on a card rather than a built-in NIC. Identifying Which Network Interface to Use One of the trickiest aspects to this process, and the one that actually requires manual intervention to set up, is identifying how the OBP and Solaris refer to the NIC that we want to use to boot. The OBP already has device aliases configured for the built-in NICs called net, net0, net1, net2, net3. The device alias net typically points to net0 so that when you issue the command "boot net -v install", it uses net0 for the boot. Our task is to figure out the network instance for the NIC we want to use. We will need to get to the OBP console of the system we want to install in order to figure out what the network should be called. I will presume you know how to get to the ok prompt. Once there, we have to see what networks the OBP sees and identify which one is associated with our NIC using the OBP command show-nets. SunOS Release 5.11 Version 11.0 64-bit Copyright (c) 1983, 2011, Oracle and/or its affiliates. All rights reserved. {4} ok banner Sun Fire T200, No Keyboard Copyright (c) 1998, 2010, Oracle and/or its affiliates. All rights reserved. OpenBoot 4.30.4.b, 32640 MB memory available, Serial #69057548. Ethernet address 0:14:4f:1d:bc:c, Host ID: 841dbc0c. {4} ok show-nets a) /pci@7c0/pci@0/pci@2/network@0,1 b) /pci@7c0/pci@0/pci@2/network@0 c) /pci@780/pci@0/pci@8/network@0,3 d) /pci@780/pci@0/pci@8/network@0,2 e) /pci@780/pci@0/pci@8/network@0,1 f) /pci@780/pci@0/pci@8/network@0 g) /pci@780/pci@0/pci@1/network@0,1 h) /pci@780/pci@0/pci@1/network@0 q) NO SELECTION Enter Selection, q to quit: d /pci@780/pci@0/pci@8/network@0,2 has been selected. Type ^Y ( Control-Y ) to insert it in the command line. e.g. ok nvalias mydev ^Y for creating devalias mydev for /pci@780/pci@0/pci@8/network@0,2 {4} ok devalias ... net3 /pci@7c0/pci@0/pci@2/network@0,1 net2 /pci@7c0/pci@0/pci@2/network@0 net1 /pci@780/pci@0/pci@1/network@0,1 net0 /pci@780/pci@0/pci@1/network@0 net /pci@780/pci@0/pci@1/network@0 ... name aliases By looking at the devalias and the show-nets output, we can see that our Quad-GbE card must be the device nodes starting with /pci@780/pci@0/pci@8/network@0. The cable for our network is plugged into the 3rd slot, so the device address for our network must be /pci@780/pci@0/pci@8/network@0,2. With that, we can create a device alias for our network interface. Naming the device alias may take a little bit of trial and error, especially in Solaris 11 where the device alias seems to matter more with the new virtualized network stack. So far in my testing, since this is the "next" network interface to be used, I have found success in naming it net4, even though it's a NIC in the middle of a card that might, by rights, be called net6 (assuming the 0th interface on the card is the next interface identified by Solaris and this is the 3rd interface on the card). So, we will call it net4. We need to assign a device alias to it: {4} ok nvalias net4 /pci@780/pci@0/pci@8/network@0,2 {4} ok devalias net4 /pci@780/pci@0/pci@8/network@0,2 ... We also may need to have the MAC for this particular interface, so let's get it, too. To do this, we go to the device and interrogate its properties. {4} ok cd /pci@780/pci@0/pci@8/network@0,2 {4} ok .properties assigned-addresses 82060210 00000000 03000000 00000000 01000000 82060218 00000000 00320000 00000000 00008000 82060220 00000000 00328000 00000000 00008000 82060230 00000000 00600000 00000000 00100000 local-mac-address 00 21 28 20 42 92 phy-type mif ... From this, we can see that the MAC for this interface is 00:21:28:20:42:92. We will need this later. This is all we need to do at the OBP. Now, we can configure Ops Center to use this interface. Network Boot in Solaris 10 Solaris 10 turns out to be a little simpler than Solaris 11 for this sort of a network boot. Since WANBoot in Solaris 10 fetches a specified In order to install the system using Ops Center, it is necessary to create a OS Provisioning profile and its corresponding plan. I am going to presume that you already know how to do this within Ops Center 12c and I will just cover the differences between a regular profile and a profile that can use an alternate interface. Create a OS Provisioning profile for Solaris 10 as usual. However, when you specify the network resources for the primary network, click on the name of the NIC, probably GB_0, and rename it to GB_N/netN, where N is the instance number you used previously in creating the device alias. This is where the trial and error may come into play. You may need to try a few instance numbers before you, the OBP, and Solaris all agree on the instance number. Mark this as the boot network. For Solaris 10, you ought to be able to then apply the OS Provisioning profile to the server and it should install using that interface. And if you put your cards in the same slots and plug the networks into the same NICs, this profile is reusable across multiple servers. Why This Works If you watch the console as Solaris boots during the OSP process, Ops Center is going to look for the device alias netN. Since WANBoot requires a device alias called just net, Ops Center uses the value of your netN device alias and assigns that device to the net alias. That means that boot net will automatically use this device. Very cool! Here's a trace from the console as Ops Center provisions a server: Sun Sun Fire T200, No KeyboardCopyright (c) 1998, 2010, Oracle and/or its affiliates. All rights reserved.OpenBoot 4.30.4.b, 32640 MB memory available, Serial #69057548.Ethernet address 0:14:4f:1d:bc:c, Host ID: 841dbc0c.auto-boot? = false{0} ok {0} ok printenv network-boot-argumentsnetwork-boot-arguments = host-ip=10.140.204.234,router-ip=10.140.204.1,subnet-mask=255.255.254.0,hostname=atl-sewr-52,client-id=0100144F1DBC0C,file=http://10.140.204.22:5555/cgi-bin/wanboot-cgi{0} ok {0} ok devalias net net /pci@780/pci@0/pci@1/network@0{0} ok devalias net4 net4 /pci@780/pci@0/pci@8/network@0,2{0} ok devalias net /pci@780/pci@0/pci@8/network@0,2{0} ok setenv network-boot-arguments host-ip=10.140.204.234,router-ip=10.140.204.1,subnet-mask=255.255.254.0,hostname=atl-sewr-52,client-id=0100144F1DBC0C,file=http://10.140.204.22:8004/cgi-bin/wanboot-cginetwork-boot-arguments = host-ip=10.140.204.234,router-ip=10.140.204.1,subnet-mask=255.255.254.0,hostname=atl-sewr-52,client-id=0100144F1DBC0C,file=http://10.140.204.22:8004/cgi-bin/wanboot-cgi{0} ok {0} ok boot net - installBoot device: /pci@780/pci@0/pci@8/network@0,2 File and args: - install/pci@780/pci@0/pci@8/network@0,2: 1000 Mbps link up<time unavailable> wanboot info: WAN boot messages->console<time unavailable> wanboot info: configuring /pci@780/pci@0/pci@8/network@0,2 See what happened? Ops Center looked for the network device alias called net4 that we specified in the profile, took the value from it, and made it the net device alias for the boot. Pretty cool! WANBoot and Solaris 11 Solaris 11 requires an additional step since the Automated Installer in Solaris 11 uses the MAC address of the network to figure out which manifest to use for system installation. In order to make sure this is available, we have to take an extra step to associate the MAC of the NIC on the card with the host. So, in addition to creating the device alias like we did above, we also have to declare to Ops Center that the host has this new MAC. Declaring the NIC Start out by discovering the hardware as usual. Once you have discovered it, take a look under the Connectivity tab to see what networks it has discovered. In the case of this system, it shows the 4 built-in networks, but not the networks on the additional cards. These are not directly visible to the system controller. In order to add the additional network interface to the hardware asset, it is necessary to Declare it. We will declare that we have a server with this additional NIC, but we will also specify the existing GB_0 network so that Ops Center can associate the right resources together. The GB_0 acts as sort of a key to tie our new declaration to the old system already discovered. Go to the Assets tab, select All Assets, and then in the Actions tab, select Add Asset. Rather than going through a discovery this time, we will manually declare a new asset. When we declare it, we will give the hostname, IP address, system model that match those that have already been discovered. Then, we will declare both GB_0 with its existing MAC and the new GB_4 with its MAC. Remember that we collected the MAC for GB_4 when we created its device alias. After you declare the asset, you will see the new NIC in the connectivity tab for the asset. You will notice that only the NICs you listed when you declared it are seen now. If you want Ops Center to see all of the existing NICs as well as the additional one, declare them as well. Add the other GB_1, GB_2, GB_3 links and their MACs just as you did GB_0 and GB_4. Installing the OS Once you have declared the asset, you can create an OS Provisioning profile for Solaris 11 in the same way that you did for Solaris 10. The only difference from any other provisioning profile you might have created already is the network to use for installation. Again, use GB_N/netN where N is the interface number you used for your device alias and in your declaration. And away you go. When the system boots from the network, the automated installer (AI) is able to see which system manifest to use, based on the new MAC that was associated, and the system gets installed. {0} ok {0} ok printenv network-boot-argumentsnetwork-boot-arguments = host-ip=10.140.204.234,router-ip=10.140.204.1,subnet-mask=255.255.254.0,hostname=atl-sewr-52,client-id=01002128204292,file=http://10.140.204.22:5555/cgi-bin/wanboot-cgi{0} ok {0} ok devalias net net /pci@780/pci@0/pci@1/network@0{0} ok devalias net4 net4 /pci@780/pci@0/pci@8/network@0,2{0} ok devalias net /pci@780/pci@0/pci@8/network@0,2{0} ok setenv network-boot-arguments host-ip=10.140.204.234,router-ip=10.140.204.1,subnet-mask=255.255.254.0,hostname=atl-sewr-52,client-id=01002128204292,file=http://10.140.204.22:5555/cgi-bin/wanboot-cginetwork-boot-arguments = host-ip=10.140.204.234,router-ip=10.140.204.1,subnet-mask=255.255.254.0,hostname=atl-sewr-52,client-id=01002128204292,file=http://10.140.204.22:5555/cgi-bin/wanboot-cgi{0} ok {0} ok boot net - installBoot device: /pci@780/pci@0/pci@8/network@0,2 File and args: - install/pci@780/pci@0/pci@8/network@0,2: 1000 Mbps link up<time unavailable> wanboot info: WAN boot messages->console<time unavailable> wanboot info: configuring /pci@780/pci@0/pci@8/network@0,2...SunOS Release 5.11 Version 11.0 64-bitCopyright (c) 1983, 2011, Oracle and/or its affiliates. All rights reserved.Remounting root read/writeProbing for device nodes ...Preparing network image for useDownloading solaris.zlib--2012-02-17 15:10:17-- http://10.140.204.22:5555/var/js/AI/sparc//solaris.zlibConnecting to 10.140.204.22:5555... connected.HTTP request sent, awaiting response... 200 OKLength: 126752256 (121M) [text/plain]Saving to: `/tmp/solaris.zlib'100%[======================================>] 126,752,256 28.6M/s in 4.4s 2012-02-17 15:10:21 (27.3 MB/s) - `/tmp/solaris.zlib' saved [126752256/126752256] Conclusion So, why go to all of this trouble? More and more, I find that customers are wiring their data center to only use higher speed networks - 10GbE only to the hosts. Some customers are moving aggressively toward consolidated networks combining storage and network on CNA NICs. All of this means that network-based provisioning cannot rely exclusively on the built-in network interfaces. So, it's important to be able to provision a system using other than the built-in networks. Turns out, that this is pretty straight-forward for both Solaris 10 and Solaris 11 and fits into the Ops Center deployment process quite nicely. Hopefully, you will be able to use this as you build out your own private cloud solutions with Ops Center.

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Table sorting & pagination with jQuery and Razor in ASP.NET MVC

- by hajan

Introduction jQuery enjoys living inside pages which are built on top of ASP.NET MVC Framework. The ASP.NET MVC is a place where things are organized very well and it is quite hard to make them dirty, especially because the pattern enforces you on purity (you can still make it dirty if you want so ;) ). We all know how easy is to build a HTML table with a header row, footer row and table rows showing some data. With ASP.NET MVC we can do this pretty easy, but, the result will be pure HTML table which only shows data, but does not includes sorting, pagination or some other advanced features that we were used to have in the ASP.NET WebForms GridView. Ok, there is the WebGrid MVC Helper, but what if we want to make something from pure table in our own clean style? In one of my recent projects, I’ve been using the jQuery tablesorter and tablesorter.pager plugins that go along. You don’t need to know jQuery to make this work… You need to know little CSS to create nice design for your table, but of course you can use mine from the demo… So, what you will see in this blog is how to attach this plugin to your pure html table and a div for pagination and make your table with advanced sorting and pagination features. Demo Project Resources The resources I’m using for this demo project are shown in the following solution explorer window print screen: Content/images – folder that contains all the up/down arrow images, pagination buttons etc. You can freely replace them with your own, but keep the names the same if you don’t want to change anything in the CSS we will built later. Content/Site.css – The main css theme, where we will add the theme for our table too Controllers/HomeController.cs – The controller I’m using for this project Models/Person.cs – For this demo, I’m using Person.cs class Scripts – jquery-1.4.4.min.js, jquery.tablesorter.js, jquery.tablesorter.pager.js – required script to make the magic happens Views/Home/Index.cshtml – Index view (razor view engine) the other items are not important for the demo. ASP.NET MVC 1. Model In this demo I use only one Person class which defines Person entity with several properties. You can use your own model, maybe one which will access data from database or any other resource. Person.cs public class Person { public string Name { get; set; } public string Surname { get; set; } public string Email { get; set; } public int? Phone { get; set; } public DateTime? DateAdded { get; set; } public int? Age { get; set; } public Person(string name, string surname, string email, int? phone, DateTime? dateadded, int? age) { Name = name; Surname = surname; Email = email; Phone = phone; DateAdded = dateadded; Age = age; } } 2. View In our example, we have only one Index.chtml page where Razor View engine is used. Razor view engine is my favorite for ASP.NET MVC because it’s very intuitive, fluid and keeps your code clean. 3. Controller Since this is simple example with one page, we use one HomeController.cs where we have two methods, one of ActionResult type (Index) and another GetPeople() used to create and return list of people. HomeController.cs public class HomeController : Controller { // // GET: /Home/ public ActionResult Index() { ViewBag.People = GetPeople(); return View(); } public List<Person> GetPeople() { List<Person> listPeople = new List<Person>(); listPeople.Add(new Person("Hajan", "Selmani", "[email protected]", 070070070,DateTime.Now, 25)); listPeople.Add(new Person("Straight", "Dean", "[email protected]", 123456789, DateTime.Now.AddDays(-5), 35)); listPeople.Add(new Person("Karsen", "Livia", "[email protected]", 46874651, DateTime.Now.AddDays(-2), 31)); listPeople.Add(new Person("Ringer", "Anne", "[email protected]", null, DateTime.Now, null)); listPeople.Add(new Person("O'Leary", "Michael", "[email protected]", 32424344, DateTime.Now, 44)); listPeople.Add(new Person("Gringlesby", "Anne", "[email protected]", null, DateTime.Now.AddDays(-9), 18)); listPeople.Add(new Person("Locksley", "Stearns", "[email protected]", 2135345, DateTime.Now, null)); listPeople.Add(new Person("DeFrance", "Michel", "[email protected]", 235325352, DateTime.Now.AddDays(-18), null)); listPeople.Add(new Person("White", "Johnson", null, null, DateTime.Now.AddDays(-22), 55)); listPeople.Add(new Person("Panteley", "Sylvia", null, 23233223, DateTime.Now.AddDays(-1), 32)); listPeople.Add(new Person("Blotchet-Halls", "Reginald", null, 323243423, DateTime.Now, 26)); listPeople.Add(new Person("Merr", "South", "[email protected]", 3232442, DateTime.Now.AddDays(-5), 85)); listPeople.Add(new Person("MacFeather", "Stearns", "[email protected]", null, DateTime.Now, null)); return listPeople; } } TABLE CSS/HTML DESIGN Now, lets start with the implementation. First of all, lets create the table structure and the main CSS. 1. HTML Structure @{ Layout = null; } <!DOCTYPE html> <html> <head> <title>ASP.NET & jQuery</title>  </head> <body> <div> <table class="tablesorter"> <thead> <tr> <th> value </th> </tr> </thead> <tbody> <tr> <td>value</td> </tr> </tbody> <tfoot> <tr> <th> value </th> </tr> </tfoot> </table> <div id="pager"> </div> </div> </body> </html> So, this is the main structure you need to create for each of your tables where you want to apply the functionality we will create. Of course the scripts are referenced once ;). As you see, our table has class tablesorter and also we have a div with id pager. In the next steps we will use both these to create the needed functionalities. The complete Index.cshtml coded to get the data from controller and display in the page is: <body> <div> <table class="tablesorter"> <thead> <tr> <th>Name</th> <th>Surname</th> <th>Email</th> <th>Phone</th> <th>Date Added</th> </tr> </thead> <tbody> @{ foreach (var p in ViewBag.People) { <tr> <td>@p.Name</td> <td>@p.Surname</td> <td>@p.Email</td> <td>@p.Phone</td> <td>@p.DateAdded</td> </tr> } } </tbody> <tfoot> <tr> <th>Name</th> <th>Surname</th> <th>Email</th> <th>Phone</th> <th>Date Added</th> </tr> </tfoot> </table> <div id="pager" style="position: none;"> <form> <img src="@Url.Content("~/Content/images/first.png")" class="first" /> <img src="@Url.Content("~/Content/images/prev.png")" class="prev" /> <input type="text" class="pagedisplay" /> <img src="@Url.Content("~/Content/images/next.png")" class="next" /> <img src="@Url.Content("~/Content/images/last.png")" class="last" /> <select class="pagesize"> <option selected="selected" value="5">5</option> <option value="10">10</option> <option value="20">20</option> <option value="30">30</option> <option value="40">40</option> </select> </form> </div> </div> </body> So, mainly the structure is the same. I have added @Razor code to create table with data retrieved from the ViewBag.People which has been filled with data in the home controller. 2. CSS Design The CSS code I’ve created is: /* DEMO TABLE */ body { font-size: 75%; font-family: Verdana, Tahoma, Arial, "Helvetica Neue", Helvetica, Sans-Serif; color: #232323; background-color: #fff; } table { border-spacing:0; border:1px solid gray;} table.tablesorter thead tr .header { background-image: url(images/bg.png); background-repeat: no-repeat; background-position: center right; cursor: pointer; } table.tablesorter tbody td { color: #3D3D3D; padding: 4px; background-color: #FFF; vertical-align: top; } table.tablesorter tbody tr.odd td { background-color:#F0F0F6; } table.tablesorter thead tr .headerSortUp { background-image: url(images/asc.png); } table.tablesorter thead tr .headerSortDown { background-image: url(images/desc.png); } table th { width:150px; border:1px outset gray; background-color:#3C78B5; color:White; cursor:pointer; } table thead th:hover { background-color:Yellow; color:Black;} table td { width:150px; border:1px solid gray;} PAGINATION AND SORTING Now, when everything is ready and we have the data, lets make pagination and sorting functionalities 1. jQuery Scripts referencing <link href="@Url.Content("~/Content/Site.css")" rel="stylesheet" type="text/css" /> <script src="@Url.Content("~/Scripts/jquery-1.4.4.min.js")" type="text/javascript"></script> <script src="@Url.Content("~/Scripts/jquery.tablesorter.js")" type="text/javascript"></script> <script src="@Url.Content("~/Scripts/jquery.tablesorter.pager.js")" type="text/javascript"></script> 2. jQuery Sorting and Pagination script <script type="text/javascript"> $(function () { $("table.tablesorter").tablesorter({ widthFixed: true, sortList: [[0, 0]] }) .tablesorterPager({ container: $("#pager"), size: $(".pagesize option:selected").val() }); }); </script> So, with only two lines of code, I’m using both tablesorter and tablesorterPager plugins, giving some options to both these. Options added: tablesorter - widthFixed: true – gives fixed width of the columns tablesorter - sortList[[0,0]] – An array of instructions for per-column sorting and direction in the format: [[columnIndex, sortDirection], ... ] where columnIndex is a zero-based index for your columns left-to-right and sortDirection is 0 for Ascending and 1 for Descending. A valid argument that sorts ascending first by column 1 and then column 2 looks like: [[0,0],[1,0]] (source: http://tablesorter.com/docs/) tablesorterPager – container: $(“#pager”) – tells the pager container, the div with id pager in our case. tablesorterPager – size: the default size of each page, where I get the default value selected, so if you put selected to any other of the options in your select list, you will have this number of rows as default per page for the table too. END RESULTS 1. Table once the page is loaded (default results per page is 5 and is automatically sorted by 1st column as sortList is specified) 2. Sorted by Phone Descending 3. Changed pagination to 10 items per page 4. Sorted by Phone and Name (use SHIFT to sort on multiple columns) 5. Sorted by Date Added 6. Page 3, 5 items per page ADDITIONAL ENHANCEMENTS We can do additional enhancements to the table. We can make search for each column. I will cover this in one of my next blogs. Stay tuned. DEMO PROJECT You can download demo project source code from HERE.CONCLUSION Once you finish with the demo, run your page and open the source code. You will be amazed of the purity of your code.Working with pagination in client side can be very useful. One of the benefits is performance, but if you have thousands of rows in your tables, you will get opposite result when talking about performance. Hence, sometimes it is nice idea to make pagination on back-end. So, the compromise between both approaches would be best to combine both of them. I use at most up to 500 rows on client-side and once the user reach the last page, we can trigger ajax postback which can get the next 500 rows using server-side pagination of the same data. I would like to recommend the following blog post http://weblogs.asp.net/gunnarpeipman/archive/2010/09/14/returning-paged-results-from-repositories-using-pagedresult-lt-t-gt.aspx, which will help you understand how to return page results from repository. I hope this was helpful post for you. Wait for my next posts ;). Please do let me know your feedback. Best Regards, Hajan

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SQL Server 2012 - AlwaysOn

- by Claus Jandausch

Ich war nicht nur irritiert, ich war sogar regelrecht schockiert - und für einen kurzen Moment sprachlos (was nur selten der Fall ist). Gerade eben hatte mich jemand gefragt "Wann Oracle denn etwas Vergleichbares wie AlwaysOn bieten würde - und ob überhaupt?" War ich hier im falschen Film gelandet? Ich konnte nicht anders, als meinen Unmut kundzutun und zu erklären, dass die Fragestellung normalerweise anders herum läuft. Zugegeben - es mag vielleicht strittige Punkte geben im Vergleich zwischen Oracle und SQL Server - bei denen nicht unbedingt immer Oracle die Nase vorn haben muss - aber das Thema Clustering für Hochverfügbarkeit (HA), Disaster Recovery (DR) und Skalierbarkeit gehört mit Sicherheit nicht dazu. Dieses Erlebnis hakte ich am Nachgang als Einzelfall ab, der so nie wieder vorkommen würde. Bis ich kurz darauf eines Besseren belehrt wurde und genau die selbe Frage erneut zu hören bekam. Diesmal sogar im Exadata-Umfeld und einem Oracle Stretch Cluster. Einmal ist keinmal, doch zweimal ist einmal zu viel... Getreu diesem alten Motto war mir klar, dass man das so nicht länger stehen lassen konnte. Ich habe keine Ahnung, wie die Microsoft Marketing Abteilung es geschafft hat, unter dem AlwaysOn Brading eine innovative Technologie vermuten zu lassen - aber sie hat ihren Job scheinbar gut gemacht. Doch abgesehen von einem guten Marketing, stellt sich natürlich die Frage, was wirklich dahinter steckt und wie sich das Ganze mit Oracle vergleichen lässt - und ob überhaupt? Damit wären wir wieder bei der ursprünglichen Frage angelangt. So viel zum Hintergrund dieses Blogbeitrags - von meiner Antwort handelt der restliche Blog. "Windows was the God ..." Um den wahren Unterschied zwischen Oracle und Microsoft verstehen zu können, muss man zunächst das bedeutendste Microsoft Dogma kennen. Es lässt sich schlicht und einfach auf den Punkt bringen: "Alles muss auf Windows basieren." Die Überschrift dieses Absatzes ist kein von mir erfundener Ausspruch, sondern ein Zitat. Konkret stammt es aus einem längeren Artikel von Kurt Eichenwald in der Vanity Fair aus dem August 2012. Er lautet Microsoft's Lost Decade und sei jedem ans Herz gelegt, der die "Microsoft-Maschinerie" unter Steve Ballmer und einige ihrer Kuriositäten besser verstehen möchte. "YOU TALKING TO ME?" Microsoft C.E.O. Steve Ballmer bei seiner Keynote auf der 2012 International Consumer Electronics Show in Las Vegas am 9. Januar Manche Dinge in diesem Artikel mögen überspitzt dargestellt erscheinen - sind sie aber nicht. Vieles davon kannte ich bereits aus eigener Erfahrung und kann es nur bestätigen. Anderes hat sich mir erst so richtig erschlossen. Insbesondere die folgenden Passagen führten zum Aha-Erlebnis: “Windows was the god—everything had to work with Windows,” said Stone... “Every little thing you want to write has to build off of Windows (or other existing roducts),” one software engineer said. “It can be very confusing, …” Ich habe immer schon darauf hingewiesen, dass in einem SQL Server Failover Cluster die Microsoft Datenbank eigentlich nichts Nenneswertes zum Geschehen beiträgt, sondern sich voll und ganz auf das Windows Betriebssystem verlässt. Deshalb muss man auch die Windows Server Enterprise Edition installieren, soll ein Failover Cluster für den SQL Server eingerichtet werden. Denn hier werden die Cluster Services geliefert - nicht mit dem SQL Server. Er ist nur lediglich ein weiteres Server Produkt, für das Windows in Ausfallszenarien genutzt werden kann - so wie Microsoft Exchange beispielsweise, oder Microsoft SharePoint, oder irgendein anderes Server Produkt das auf Windows gehostet wird. Auch Oracle kann damit genutzt werden. Das Stichwort lautet hier: Oracle Failsafe. Nur - warum sollte man das tun, wenn gleichzeitig eine überlegene Technologie wie die Oracle Real Application Clusters (RAC) zur Verfügung steht, die dann auch keine Windows Enterprise Edition voraussetzen, da Oracle die eigene Clusterware liefert. Welche darüber hinaus für kürzere Failover-Zeiten sorgt, da diese Cluster-Technologie Datenbank-integriert ist und sich nicht auf "Dritte" verlässt. Wenn man sich also schon keine technischen Vorteile mit einem SQL Server Failover Cluster erkauft, sondern zusätzlich noch versteckte Lizenzkosten durch die Lizenzierung der Windows Server Enterprise Edition einhandelt, warum hat Microsoft dann in den vergangenen Jahren seit SQL Server 2000 nicht ebenfalls an einer neuen und innovativen Lösung gearbeitet, die mit Oracle RAC mithalten kann? Entwickler hat Microsoft genügend? Am Geld kann es auch nicht liegen? Lesen Sie einfach noch einmal die beiden obenstehenden Zitate und sie werden den Grund verstehen. Anders lässt es sich ja auch gar nicht mehr erklären, dass AlwaysOn aus zwei unterschiedlichen Technologien besteht, die beide jedoch wiederum auf dem Windows Server Failover Clustering (WSFC) basieren. Denn daraus ergeben sich klare Nachteile - aber dazu später mehr. Um AlwaysOn zu verstehen, sollte man sich zunächst kurz in Erinnerung rufen, was Microsoft bisher an HA/DR (High Availability/Desaster Recovery) Lösungen für SQL Server zur Verfügung gestellt hat. Replikation Basiert auf logischer Replikation und Pubisher/Subscriber Architektur Transactional Replication Merge Replication Snapshot Replication Microsoft's Replikation ist vergleichbar mit Oracle GoldenGate. Oracle GoldenGate stellt jedoch die umfassendere Technologie dar und bietet High Performance. Log Shipping Microsoft's Log Shipping stellt eine einfache Technologie dar, die vergleichbar ist mit Oracle Managed Recovery in Oracle Version 7. Das Log Shipping besitzt folgende Merkmale: Transaction Log Backups werden von Primary nach Secondary/ies geschickt Einarbeitung (z.B. Restore) auf jedem Secondary individuell Optionale dritte Server Instanz (Monitor Server) für Überwachung und Alarm Log Restore Unterbrechung möglich für Read-Only Modus (Secondary) Keine Unterstützung von Automatic Failover Database Mirroring Microsoft's Database Mirroring wurde verfügbar mit SQL Server 2005, sah aus wie Oracle Data Guard in Oracle 9i, war funktional jedoch nicht so umfassend. Für ein HA/DR Paar besteht eine 1:1 Beziehung, um die produktive Datenbank (Principle DB) abzusichern. Auf der Standby Datenbank (Mirrored DB) werden alle Insert-, Update- und Delete-Operationen nachgezogen. Modi Synchron (High-Safety Modus) Asynchron (High-Performance Modus) Automatic Failover Unterstützt im High-Safety Modus (synchron) Witness Server vorausgesetzt Zur Frage der Kontinuität Es stellt sich die Frage, wie es um diesen Technologien nun im Zusammenhang mit SQL Server 2012 bestellt ist. Unter Fanfaren seinerzeit eingeführt, war Database Mirroring das erklärte Mittel der Wahl. Ich bin kein Produkt Manager bei Microsoft und kann hierzu nur meine Meinung äußern, aber zieht man den SQL AlwaysOn Team Blog heran, so sieht es nicht gut aus für das Database Mirroring - zumindest nicht langfristig. "Does AlwaysOn Availability Group replace Database Mirroring going forward?” “The short answer is we recommend that you migrate from the mirroring configuration or even mirroring and log shipping configuration to using Availability Group. Database Mirroring will still be available in the Denali release but will be phased out over subsequent releases. Log Shipping will continue to be available in future releases.” Damit wären wir endlich beim eigentlichen Thema angelangt. Was ist eine sogenannte Availability Group und was genau hat es mit der vielversprechend klingenden Bezeichnung AlwaysOn auf sich? SQL Server 2012 - AlwaysOn Zwei HA-Features verstekcne sich hinter dem “AlwaysOn”-Branding. Einmal das AlwaysOn Failover Clustering aka SQL Server Failover Cluster Instances (FCI) - zum Anderen die AlwaysOn Availability Groups. Failover Cluster Instances (FCI) Entspricht ungefähr dem Stretch Cluster Konzept von Oracle Setzt auf Windows Server Failover Clustering (WSFC) auf Bietet HA auf Instanz-Ebene AlwaysOn Availability Groups (Verfügbarkeitsgruppen) Ähnlich der Idee von Consistency Groups, wie in Storage-Level Replikations-Software von z.B. EMC SRDF Abhängigkeiten zu Windows Server Failover Clustering (WSFC) Bietet HA auf Datenbank-Ebene Hinweis: Verwechseln Sie nicht eine SQL Server Datenbank mit einer Oracle Datenbank. Und auch nicht eine Oracle Instanz mit einer SQL Server Instanz. Die gleichen Begriffe haben hier eine andere Bedeutung - nicht selten ein Grund, weshalb Oracle- und Microsoft DBAs schnell aneinander vorbei reden. Denken Sie bei einer SQL Server Datenbank eher an ein Oracle Schema, das kommt der Sache näher. So etwas wie die SQL Server Northwind Datenbank ist vergleichbar mit dem Oracle Scott Schema. Wenn Sie die genauen Unterschiede kennen möchten, finden Sie eine detaillierte Beschreibung in meinem Buch "Oracle10g Release 2 für Windows und .NET", erhältich bei Lehmanns, Amazon, etc. Windows Server Failover Clustering (WSFC) Wie man sieht, basieren beide AlwaysOn Technologien wiederum auf dem Windows Server Failover Clustering (WSFC), um einerseits Hochverfügbarkeit auf Ebene der Instanz zu gewährleisten und andererseits auf der Datenbank-Ebene. Deshalb nun eine kurze Beschreibung der WSFC. Die WSFC sind ein mit dem Windows Betriebssystem geliefertes Infrastruktur-Feature, um HA für Server Anwendungen, wie Microsoft Exchange, SharePoint, SQL Server, etc. zu bieten. So wie jeder andere Cluster, besteht ein WSFC Cluster aus einer Gruppe unabhängiger Server, die zusammenarbeiten, um die Verfügbarkeit einer Applikation oder eines Service zu erhöhen. Falls ein Cluster-Knoten oder -Service ausfällt, kann der auf diesem Knoten bisher gehostete Service automatisch oder manuell auf einen anderen im Cluster verfügbaren Knoten transferriert werden - was allgemein als Failover bekannt ist. Unter SQL Server 2012 verwenden sowohl die AlwaysOn Avalability Groups, als auch die AlwaysOn Failover Cluster Instances die WSFC als Plattformtechnologie, um Komponenten als WSFC Cluster-Ressourcen zu registrieren. Verwandte Ressourcen werden in eine Ressource Group zusammengefasst, die in Abhängigkeit zu anderen WSFC Cluster-Ressourcen gebracht werden kann. Der WSFC Cluster Service kann jetzt die Notwendigkeit zum Neustart der SQL Server Instanz erfassen oder einen automatischen Failover zu einem anderen Server-Knoten im WSFC Cluster auslösen. Failover Cluster Instances (FCI) Eine SQL Server Failover Cluster Instanz (FCI) ist eine einzelne SQL Server Instanz, die in einem Failover Cluster betrieben wird, der aus mehreren Windows Server Failover Clustering (WSFC) Knoten besteht und so HA (High Availability) auf Ebene der Instanz bietet. Unter Verwendung von Multi-Subnet FCI kann auch Remote DR (Disaster Recovery) unterstützt werden. Eine weitere Option für Remote DR besteht darin, eine unter FCI gehostete Datenbank in einer Availability Group zu betreiben. Hierzu später mehr. FCI und WSFC Basis FCI, das für lokale Hochverfügbarkeit der Instanzen genutzt wird, ähnelt der veralteten Architektur eines kalten Cluster (Aktiv-Passiv). Unter SQL Server 2008 wurde diese Technologie SQL Server 2008 Failover Clustering genannt. Sie nutzte den Windows Server Failover Cluster. In SQL Server 2012 hat Microsoft diese Basistechnologie unter der Bezeichnung AlwaysOn zusammengefasst. Es handelt sich aber nach wie vor um die klassische Aktiv-Passiv-Konfiguration. Der Ablauf im Failover-Fall ist wie folgt: Solange kein Hardware-oder System-Fehler auftritt, werden alle Dirty Pages im Buffer Cache auf Platte geschrieben Alle entsprechenden SQL Server Services (Dienste) in der Ressource Gruppe werden auf dem aktiven Knoten gestoppt Die Ownership der Ressource Gruppe wird auf einen anderen Knoten der FCI transferriert Der neue Owner (Besitzer) der Ressource Gruppe startet seine SQL Server Services (Dienste) Die Connection-Anforderungen einer Client-Applikation werden automatisch auf den neuen aktiven Knoten mit dem selben Virtuellen Network Namen (VNN) umgeleitet Abhängig vom Zeitpunkt des letzten Checkpoints, kann die Anzahl der Dirty Pages im Buffer Cache, die noch auf Platte geschrieben werden müssen, zu unvorhersehbar langen Failover-Zeiten führen. Um diese Anzahl zu drosseln, besitzt der SQL Server 2012 eine neue Fähigkeit, die Indirect Checkpoints genannt wird. Indirect Checkpoints ähnelt dem Fast-Start MTTR Target Feature der Oracle Datenbank, das bereits mit Oracle9i verfügbar war. SQL Server Multi-Subnet Clustering Ein SQL Server Multi-Subnet Failover Cluster entspricht vom Konzept her einem Oracle RAC Stretch Cluster. Doch dies ist nur auf den ersten Blick der Fall. Im Gegensatz zu RAC ist in einem lokalen SQL Server Failover Cluster jeweils nur ein Knoten aktiv für eine Datenbank. Für die Datenreplikation zwischen geografisch entfernten Sites verlässt sich Microsoft auf 3rd Party Lösungen für das Storage Mirroring. Die Verbesserung dieses Szenario mit einer SQL Server 2012 Implementierung besteht schlicht darin, dass eine VLAN-Konfiguration (Virtual Local Area Network) nun nicht mehr benötigt wird, so wie dies bisher der Fall war. Das folgende Diagramm stellt dar, wie der Ablauf mit SQL Server 2012 gehandhabt wird. In Site A und Site B wird HA jeweils durch einen lokalen Aktiv-Passiv-Cluster sichergestellt. Besondere Aufmerksamkeit muss hier der Konfiguration und dem Tuning geschenkt werden, da ansonsten völlig inakzeptable Failover-Zeiten resultieren. Dies liegt darin begründet, weil die Downtime auf Client-Seite nun nicht mehr nur von der reinen Failover-Zeit abhängt, sondern zusätzlich von der Dauer der DNS Replikation zwischen den DNS Servern. (Rufen Sie sich in Erinnerung, dass wir gerade von Multi-Subnet Clustering sprechen). Außerdem ist zu berücksichtigen, wie schnell die Clients die aktualisierten DNS Informationen abfragen. Spezielle Konfigurationen für Node Heartbeat, HostRecordTTL (Host Record Time-to-Live) und Intersite Replication Frequeny für Active Directory Sites und Services werden notwendig. Default TTL für Windows Server 2008 R2: 20 Minuten Empfohlene Einstellung: 1 Minute DNS Update Replication Frequency in Windows Umgebung: 180 Minuten Empfohlene Einstellung: 15 Minuten (minimaler Wert) Betrachtet man diese Werte, muss man feststellen, dass selbst eine optimale Konfiguration die rigiden SLAs (Service Level Agreements) heutiger geschäftskritischer Anwendungen für HA und DR nicht erfüllen kann. Denn dies impliziert eine auf der Client-Seite erlebte Failover-Zeit von insgesamt 16 Minuten. Hierzu ein Auszug aus der SQL Server 2012 Online Dokumentation: Cons: If a cross-subnet failover occurs, the client recovery time could be 15 minutes or longer, depending on your HostRecordTTL setting and the setting of your cross-site DNS/AD replication schedule. Wir sind hier an einem Punkt unserer Überlegungen angelangt, an dem sich erklärt, weshalb ich zuvor das "Windows was the God ..." Zitat verwendet habe. Die unbedingte Abhängigkeit zu Windows wird zunehmend zum Problem, da sie die Komplexität einer Microsoft-basierenden Lösung erhöht, anstelle sie zu reduzieren. Und Komplexität ist das Letzte, was sich CIOs heutzutage wünschen. Zur Ehrenrettung des SQL Server 2012 und AlwaysOn muss man sagen, dass derart lange Failover-Zeiten kein unbedingtes "Muss" darstellen, sondern ein "Kann". Doch auch ein "Kann" kann im unpassenden Moment unvorhersehbare und kostspielige Folgen haben. Die Unabsehbarkeit ist wiederum Ursache vieler an der Implementierung beteiligten Komponenten und deren Abhängigkeiten, wie beispielsweise drei Cluster-Lösungen (zwei von Microsoft, eine 3rd Party Lösung). Wie man die Sache auch dreht und wendet, kommt man an diesem Fakt also nicht vorbei - ganz unabhängig von der Dauer einer Downtime oder Failover-Zeiten. Im Gegensatz zu AlwaysOn und der hier vorgestellten Version eines Stretch-Clusters, vermeidet eine entsprechende Oracle Implementierung eine derartige Komplexität, hervorgerufen duch multiple Abhängigkeiten. Den Unterschied machen Datenbank-integrierte Mechanismen, wie Fast Application Notification (FAN) und Fast Connection Failover (FCF). Für Oracle MAA Konfigurationen (Maximum Availability Architecture) sind Inter-Site Failover-Zeiten im Bereich von Sekunden keine Seltenheit. Wenn Sie dem Link zur Oracle MAA folgen, finden Sie außerdem eine Reihe an Customer Case Studies. Auch dies ist ein wichtiges Unterscheidungsmerkmal zu AlwaysOn, denn die Oracle Technologie hat sich bereits zigfach in höchst kritischen Umgebungen bewährt. Availability Groups (Verfügbarkeitsgruppen) Die sogenannten Availability Groups (Verfügbarkeitsgruppen) sind - neben FCI - der weitere Baustein von AlwaysOn. Hinweis: Bevor wir uns näher damit beschäftigen, sollten Sie sich noch einmal ins Gedächtnis rufen, dass eine SQL Server Datenbank nicht die gleiche Bedeutung besitzt, wie eine Oracle Datenbank, sondern eher einem Oracle Schema entspricht. So etwas wie die SQL Server Northwind Datenbank ist vergleichbar mit dem Oracle Scott Schema. Eine Verfügbarkeitsgruppe setzt sich zusammen aus einem Set mehrerer Benutzer-Datenbanken, die im Falle eines Failover gemeinsam als Gruppe behandelt werden. Eine Verfügbarkeitsgruppe unterstützt ein Set an primären Datenbanken (primäres Replikat) und einem bis vier Sets von entsprechenden sekundären Datenbanken (sekundäre Replikate). Es können jedoch nicht alle SQL Server Datenbanken einer AlwaysOn Verfügbarkeitsgruppe zugeordnet werden. Der SQL Server Spezialist Michael Otey zählt in seinem SQL Server Pro Artikel folgende Anforderungen auf: Verfügbarkeitsgruppen müssen mit Benutzer-Datenbanken erstellt werden. System-Datenbanken können nicht verwendet werden Die Datenbanken müssen sich im Read-Write Modus befinden. Read-Only Datenbanken werden nicht unterstützt Die Datenbanken in einer Verfügbarkeitsgruppe müssen Multiuser Datenbanken sein Sie dürfen nicht das AUTO_CLOSE Feature verwenden Sie müssen das Full Recovery Modell nutzen und es muss ein vollständiges Backup vorhanden sein Eine gegebene Datenbank kann sich nur in einer einzigen Verfügbarkeitsgruppe befinden und diese Datenbank düerfen nicht für Database Mirroring konfiguriert sein Microsoft empfiehl außerdem, dass der Verzeichnispfad einer Datenbank auf dem primären und sekundären Server identisch sein sollte Wie man sieht, eignen sich Verfügbarkeitsgruppen nicht, um HA und DR vollständig abzubilden. Die Unterscheidung zwischen der Instanzen-Ebene (FCI) und Datenbank-Ebene (Availability Groups) ist von hoher Bedeutung. Vor kurzem wurde mir gesagt, dass man mit den Verfügbarkeitsgruppen auf Shared Storage verzichten könne und dadurch Kosten spart. So weit so gut ... Man kann natürlich eine Installation rein mit Verfügbarkeitsgruppen und ohne FCI durchführen - aber man sollte sich dann darüber bewusst sein, was man dadurch alles nicht abgesichert hat - und dies wiederum für Desaster Recovery (DR) und SLAs (Service Level Agreements) bedeutet. Kurzum, um die Kombination aus beiden AlwaysOn Produkten und der damit verbundene Komplexität kommt man wohl in der Praxis nicht herum. Availability Groups und WSFC AlwaysOn hängt von Windows Server Failover Clustering (WSFC) ab, um die aktuellen Rollen der Verfügbarkeitsreplikate einer Verfügbarkeitsgruppe zu überwachen und zu verwalten, und darüber zu entscheiden, wie ein Failover-Ereignis die Verfügbarkeitsreplikate betrifft. Das folgende Diagramm zeigt de Beziehung zwischen Verfügbarkeitsgruppen und WSFC: Der Verfügbarkeitsmodus ist eine Eigenschaft jedes Verfügbarkeitsreplikats. Synychron und Asynchron können also gemischt werden: Availability Modus (Verfügbarkeitsmodus) Asynchroner Commit-Modus Primäres replikat schließt Transaktionen ohne Warten auf Sekundäres Synchroner Commit-Modus Primäres Replikat wartet auf Commit von sekundärem Replikat Failover Typen Automatic Manual Forced (mit möglichem Datenverlust) Synchroner Commit-Modus Geplanter, manueller Failover ohne Datenverlust Automatischer Failover ohne Datenverlust Asynchroner Commit-Modus Nur Forced, manueller Failover mit möglichem Datenverlust Der SQL Server kennt keinen separaten Switchover Begriff wie in Oracle Data Guard. Für SQL Server werden alle Role Transitions als Failover bezeichnet. Tatsächlich unterstützt der SQL Server keinen Switchover für asynchrone Verbindungen. Es gibt nur die Form des Forced Failover mit möglichem Datenverlust. Eine ähnliche Fähigkeit wie der Switchover unter Oracle Data Guard ist so nicht gegeben. SQL Sever FCI mit Availability Groups (Verfügbarkeitsgruppen) Neben den Verfügbarkeitsgruppen kann eine zweite Failover-Ebene eingerichtet werden, indem SQL Server FCI (auf Shared Storage) mit WSFC implementiert wird. Ein Verfügbarkeitesreplikat kann dann auf einer Standalone Instanz gehostet werden, oder einer FCI Instanz. Zum Verständnis: Die Verfügbarkeitsgruppen selbst benötigen kein Shared Storage. Diese Kombination kann verwendet werden für lokale HA auf Ebene der Instanz und DR auf Datenbank-Ebene durch Verfügbarkeitsgruppen. Das folgende Diagramm zeigt dieses Szenario: Achtung! Hier handelt es sich nicht um ein Pendant zu Oracle RAC plus Data Guard, auch wenn das Bild diesen Eindruck vielleicht vermitteln mag - denn alle sekundären Knoten im FCI sind rein passiv. Es existiert außerdem eine weitere und ernsthafte Einschränkung: SQL Server Failover Cluster Instanzen (FCI) unterstützen nicht das automatische AlwaysOn Failover für Verfügbarkeitsgruppen. Jedes unter FCI gehostete Verfügbarkeitsreplikat kann nur für manuelles Failover konfiguriert werden. Lesbare Sekundäre Replikate Ein oder mehrere Verfügbarkeitsreplikate in einer Verfügbarkeitsgruppe können für den lesenden Zugriff konfiguriert werden, wenn sie als sekundäres Replikat laufen. Dies ähnelt Oracle Active Data Guard, jedoch gibt es Einschränkungen. Alle Abfragen gegen die sekundäre Datenbank werden automatisch auf das Snapshot Isolation Level abgebildet. Es handelt sich dabei um eine Versionierung der Rows. Microsoft versuchte hiermit die Oracle MVRC (Multi Version Read Consistency) nachzustellen. Tatsächlich muss man die SQL Server Snapshot Isolation eher mit Oracle Flashback vergleichen. Bei der Implementierung des Snapshot Isolation Levels handelt sich um ein nachträglich aufgesetztes Feature und nicht um einen inhärenten Teil des Datenbank-Kernels, wie im Falle Oracle. (Ich werde hierzu in Kürze einen weiteren Blogbeitrag verfassen, wenn ich mich mit der neuen SQL Server 2012 Core Lizenzierung beschäftige.) Für die Praxis entstehen aus der Abbildung auf das Snapshot Isolation Level ernsthafte Restriktionen, derer man sich für den Betrieb in der Praxis bereits vorab bewusst sein sollte: Sollte auf der primären Datenbank eine aktive Transaktion zu dem Zeitpunkt existieren, wenn ein lesbares sekundäres Replikat in die Verfügbarkeitsgruppe aufgenommen wird, werden die Row-Versionen auf der korrespondierenden sekundären Datenbank nicht sofort vollständig verfügbar sein. Eine aktive Transaktion auf dem primären Replikat muss zuerst abgeschlossen (Commit oder Rollback) und dieser Transaktions-Record auf dem sekundären Replikat verarbeitet werden. Bis dahin ist das Isolation Level Mapping auf der sekundären Datenbank unvollständig und Abfragen sind temporär geblockt. Microsoft sagt dazu: "This is needed to guarantee that row versions are available on the secondary replica before executing the query under snapshot isolation as all isolation levels are implicitly mapped to snapshot isolation." (SQL Storage Engine Blog: AlwaysOn: I just enabled Readable Secondary but my query is blocked?) Grundlegend bedeutet dies, dass ein aktives lesbares Replikat nicht in die Verfügbarkeitsgruppe aufgenommen werden kann, ohne das primäre Replikat vorübergehend stillzulegen. Da Leseoperationen auf das Snapshot Isolation Transaction Level abgebildet werden, kann die Bereinigung von Ghost Records auf dem primären Replikat durch Transaktionen auf einem oder mehreren sekundären Replikaten geblockt werden - z.B. durch eine lang laufende Abfrage auf dem sekundären Replikat. Diese Bereinigung wird auch blockiert, wenn die Verbindung zum sekundären Replikat abbricht oder der Datenaustausch unterbrochen wird. Auch die Log Truncation wird in diesem Zustant verhindert. Wenn dieser Zustand längere Zeit anhält, empfiehlt Microsoft das sekundäre Replikat aus der Verfügbarkeitsgruppe herauszunehmen - was ein ernsthaftes Downtime-Problem darstellt. Die Read-Only Workload auf den sekundären Replikaten kann eingehende DDL Änderungen blockieren. Obwohl die Leseoperationen aufgrund der Row-Versionierung keine Shared Locks halten, führen diese Operatioen zu Sch-S Locks (Schemastabilitätssperren). DDL-Änderungen durch Redo-Operationen können dadurch blockiert werden. Falls DDL aufgrund konkurrierender Lese-Workload blockiert wird und der Schwellenwert für 'Recovery Interval' (eine SQL Server Konfigurationsoption) überschritten wird, generiert der SQL Server das Ereignis sqlserver.lock_redo_blocked, welches Microsoft zum Kill der blockierenden Leser empfiehlt. Auf die Verfügbarkeit der Anwendung wird hierbei keinerlei Rücksicht genommen. Keine dieser Einschränkungen existiert mit Oracle Active Data Guard. Backups auf sekundären Replikaten Über die sekundären Replikate können Backups (BACKUP DATABASE via Transact-SQL) nur als copy-only Backups einer vollständigen Datenbank, Dateien und Dateigruppen erstellt werden. Das Erstellen inkrementeller Backups ist nicht unterstützt, was ein ernsthafter Rückstand ist gegenüber der Backup-Unterstützung physikalischer Standbys unter Oracle Data Guard. Hinweis: Ein möglicher Workaround via Snapshots, bleibt ein Workaround. Eine weitere Einschränkung dieses Features gegenüber Oracle Data Guard besteht darin, dass das Backup eines sekundären Replikats nicht ausgeführt werden kann, wenn es nicht mit dem primären Replikat kommunizieren kann. Darüber hinaus muss das sekundäre Replikat synchronisiert sein oder sich in der Synchronisation befinden, um das Beackup auf dem sekundären Replikat erstellen zu können. Vergleich von Microsoft AlwaysOn mit der Oracle MAA Ich komme wieder zurück auf die Eingangs erwähnte, mehrfach an mich gestellte Frage "Wann denn - und ob überhaupt - Oracle etwas Vergleichbares wie AlwaysOn bieten würde?" und meine damit verbundene (kurze) Irritation. Wenn Sie diesen Blogbeitrag bis hierher gelesen haben, dann kennen Sie jetzt meine darauf gegebene Antwort. Der eine oder andere Punkt traf dabei nicht immer auf Jeden zu, was auch nicht der tiefere Sinn und Zweck meiner Antwort war. Wenn beispielsweise kein Multi-Subnet mit im Spiel ist, sind alle diesbezüglichen Kritikpunkte zunächst obsolet. Was aber nicht bedeutet, dass sie nicht bereits morgen schon wieder zum Thema werden könnten (Sag niemals "Nie"). In manch anderes Fettnäpfchen tritt man wiederum nicht unbedingt in einer Testumgebung, sondern erst im laufenden Betrieb. Erst recht nicht dann, wenn man sich potenzieller Probleme nicht bewusst ist und keine dedizierten Tests startet. Und wer AlwaysOn erfolgreich positionieren möchte, wird auch gar kein Interesse daran haben, auf mögliche Schwachstellen und den besagten Teufel im Detail aufmerksam zu machen. Das ist keine Unterstellung - es ist nur menschlich. Außerdem ist es verständlich, dass man sich in erster Linie darauf konzentriert "was geht" und "was gut läuft", anstelle auf das "was zu Problemen führen kann" oder "nicht funktioniert". Wer will schon der Miesepeter sein? Für mich selbst gesprochen, kann ich nur sagen, dass ich lieber vorab von allen möglichen Einschränkungen wissen möchte, anstelle sie dann nach einer kurzen Zeit der heilen Welt schmerzhaft am eigenen Leib erfahren zu müssen. Ich bin davon überzeugt, dass es Ihnen nicht anders geht. Nachfolgend deshalb eine Zusammenfassung all jener Punkte, die ich im Vergleich zur Oracle MAA (Maximum Availability Architecture) als unbedingt Erwähnenswert betrachte, falls man eine Evaluierung von Microsoft AlwaysOn in Betracht zieht. 1. AlwaysOn ist eine komplexe Technologie Der SQL Server AlwaysOn Stack ist zusammengesetzt aus drei verschiedenen Technlogien: Windows Server Failover Clustering (WSFC) SQL Server Failover Cluster Instances (FCI) SQL Server Availability Groups (Verfügbarkeitsgruppen) Man kann eine derartige Lösung nicht als nahtlos bezeichnen, wofür auch die vielen von Microsoft dargestellten Einschränkungen sprechen. Während sich frühere SQL Server Versionen in Richtung eigener HA/DR Technologien entwickelten (wie Database Mirroring), empfiehlt Microsoft nun die Migration. Doch weshalb dieser Schwenk? Er führt nicht zu einem konsisten und robusten Angebot an HA/DR Technologie für geschäftskritische Umgebungen. Liegt die Antwort in meiner These begründet, nach der "Windows was the God ..." noch immer gilt und man die Nachteile der allzu engen Kopplung mit Windows nicht sehen möchte? Entscheiden Sie selbst ... 2. Failover Cluster Instanzen - Kein RAC-Pendant Die SQL Server und Windows Server Clustering Technologie basiert noch immer auf dem veralteten Aktiv-Passiv Modell und führt zu einer Verschwendung von Systemressourcen. In einer Betrachtung von lediglich zwei Knoten erschließt sich auf Anhieb noch nicht der volle Mehrwert eines Aktiv-Aktiv Clusters (wie den Real Application Clusters), wie er von Oracle bereits vor zehn Jahren entwickelt wurde. Doch kennt man die Vorzüge der Skalierbarkeit durch einfaches Hinzufügen weiterer Cluster-Knoten, die dann alle gemeinsam als ein einziges logisches System zusammenarbeiten, versteht man was hinter dem Motto "Pay-as-you-Grow" steckt. In einem Aktiv-Aktiv Cluster geht es zwar auch um Hochverfügbarkeit - und ein Failover erfolgt zudem schneller, als in einem Aktiv-Passiv Modell - aber es geht eben nicht nur darum. An dieser Stelle sei darauf hingewiesen, dass die Oracle 11g Standard Edition bereits die Nutzung von Oracle RAC bis zu vier Sockets kostenfrei beinhaltet. Möchten Sie dazu Windows nutzen, benötigen Sie keine Windows Server Enterprise Edition, da Oracle 11g die eigene Clusterware liefert. Sie kommen in den Genuss von Hochverfügbarkeit und Skalierbarkeit und können dazu die günstigere Windows Server Standard Edition nutzen. 3. SQL Server Multi-Subnet Clustering - Abhängigkeit zu 3rd Party Storage Mirroring Die SQL Server Multi-Subnet Clustering Architektur unterstützt den Aufbau eines Stretch Clusters, basiert dabei aber auf dem Aktiv-Passiv Modell. Das eigentlich Problematische ist jedoch, dass man sich zur Absicherung der Datenbank auf 3rd Party Storage Mirroring Technologie verlässt, ohne Integration zwischen dem Windows Server Failover Clustering (WSFC) und der darunterliegenden Mirroring Technologie. Wenn nun im Cluster ein Failover auf Instanzen-Ebene erfolgt, existiert keine Koordination mit einem möglichen Failover auf Ebene des Storage-Array. 4. Availability Groups (Verfügbarkeitsgruppen) - Vier, oder doch nur Zwei? Ein primäres Replikat erlaubt bis zu vier sekundäre Replikate innerhalb einer Verfügbarkeitsgruppe, jedoch nur zwei im Synchronen Commit Modus. Während dies zwar einen Vorteil gegenüber dem stringenten 1:1 Modell unter Database Mirroring darstellt, fällt der SQL Server 2012 damit immer noch weiter zurück hinter Oracle Data Guard mit bis zu 30 direkten Stanbdy Zielen - und vielen weiteren durch kaskadierende Ziele möglichen. Damit eignet sich Oracle Active Data Guard auch für die Bereitstellung einer Reader-Farm Skalierbarkeit für Internet-basierende Unternehmen. Mit AwaysOn Verfügbarkeitsgruppen ist dies nicht möglich. 5. Availability Groups (Verfügbarkeitsgruppen) - kein asynchrones Switchover Die Technologie der Verfügbarkeitsgruppen wird auch als geeignetes Mittel für administrative Aufgaben positioniert - wie Upgrades oder Wartungsarbeiten. Man muss sich jedoch einem gravierendem Defizit bewusst sein: Im asynchronen Verfügbarkeitsmodus besteht die einzige Möglichkeit für Role Transition im Forced Failover mit Datenverlust! Um den Verlust von Daten durch geplante Wartungsarbeiten zu vermeiden, muss man den synchronen Verfügbarkeitsmodus konfigurieren, was jedoch ernstzunehmende Auswirkungen auf WAN Deployments nach sich zieht. Spinnt man diesen Gedanken zu Ende, kommt man zu dem Schluss, dass die Technologie der Verfügbarkeitsgruppen für geplante Wartungsarbeiten in einem derartigen Umfeld nicht effektiv genutzt werden kann. 6. Automatisches Failover - Nicht immer möglich Sowohl die SQL Server FCI, als auch Verfügbarkeitsgruppen unterstützen automatisches Failover. Möchte man diese jedoch kombinieren, wird das Ergebnis kein automatisches Failover sein. Denn ihr Zusammentreffen im Failover-Fall führt zu Race Conditions (Wettlaufsituationen), weshalb diese Konfiguration nicht länger das automatische Failover zu einem Replikat in einer Verfügbarkeitsgruppe erlaubt. Auch hier bestätigt sich wieder die tiefere Problematik von AlwaysOn, mit einer Zusammensetzung aus unterschiedlichen Technologien und der Abhängigkeit zu Windows. 7. Problematische RTO (Recovery Time Objective) Microsoft postioniert die SQL Server Multi-Subnet Clustering Architektur als brauchbare HA/DR Architektur. Bedenkt man jedoch die Problematik im Zusammenhang mit DNS Replikation und den möglichen langen Wartezeiten auf Client-Seite von bis zu 16 Minuten, sind strenge RTO Anforderungen (Recovery Time Objectives) nicht erfüllbar. Im Gegensatz zu Oracle besitzt der SQL Server keine Datenbank-integrierten Technologien, wie Oracle Fast Application Notification (FAN) oder Oracle Fast Connection Failover (FCF). 8. Problematische RPO (Recovery Point Objective) SQL Server ermöglicht Forced Failover (erzwungenes Failover), bietet jedoch keine Möglichkeit zur automatischen Übertragung der letzten Datenbits von einem alten zu einem neuen primären Replikat, wenn der Verfügbarkeitsmodus asynchron war. Oracle Data Guard hingegen bietet diese Unterstützung durch das Flush Redo Feature. Dies sichert "Zero Data Loss" und beste RPO auch in erzwungenen Failover-Situationen. 9. Lesbare Sekundäre Replikate mit Einschränkungen Aufgrund des Snapshot Isolation Transaction Level für lesbare sekundäre Replikate, besitzen diese Einschränkungen mit Auswirkung auf die primäre Datenbank. Die Bereinigung von Ghost Records auf der primären Datenbank, wird beeinflusst von lang laufenden Abfragen auf der lesabaren sekundären Datenbank. Die lesbare sekundäre Datenbank kann nicht in die Verfügbarkeitsgruppe aufgenommen werden, wenn es aktive Transaktionen auf der primären Datenbank gibt. Zusätzlich können DLL Änderungen auf der primären Datenbank durch Abfragen auf der sekundären blockiert werden. Und imkrementelle Backups werden hier nicht unterstützt. Keine dieser Restriktionen existiert unter Oracle Data Guard.

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Oracle Linux Training Calendar

- by Antoinette O'Sullivan

The Oracle Linux System Administrator Curriculum is designed to provide you with the knowledge and skills necessary to effectively administer an Oracle Linux environment. These classes will help you prepare to install, configure, and manage your enterprise Linux environment as well as prepare you for the Oracle Linux Certification. You can take these courses as a: Live-Virtual event: Following the instructor-led classes from your own desk - no travel required. There is an extensive list of events on the schedule to suit different timezones. See full list on http://oracle.com/education/linux. In-Class event: Travel to an education center to take these classes. Below is a sample of in-class events on the schedule: Unix and Linux Essentials: This 3-day class is for those new to the linux operating system. You learn to manage files & directories from the command line, perform remote connections, file transfers & more. Location Date Delivery Language Nairobi, Kenya 3 December 2012 English Riyadh, Saudia Arabia 5 January 2013 English Cape Town, South Africa 9 January 2013 English Durban, South Africa 9 January 2013 English Johannesburg, South Africa 9 January 2013 English Woodmead, South Africa 15 July 2013 English Denver, United States 23 January 2013 English Columbia, United States 2 January 2013 English East Lansing, United States 9 January 2013 English Roseville, United States 1 April 2013 English Morrisville, United States 11 February 2013 English Jakarta, Indonesia 26 December 2012 English Kuala Lumpur, Malaysia 29 January 2013 English Auckland, New Zealand 12 December 2012 English Makati City, Philippines 14 January 2013 English Singapore 13 February 2013 English North Sydney, Australia 4 February 2013 English Brisbane, Australia 29 April 2013 English Melbourne, Australia 29 January 2013 English Oracle Linux System Administration: This 5 day course covers a broad range of Oracle Linux system administration tasks, from installing the operating system to preparing the system for Oracle Database. The course also provides an extensive hands-on experience for key system administration tasks. You will gain comprehensive skills in installing, configuring, and managing an Oracle Linux system as well as insight into ULN, Ksplice and UEK. Location Date Delivery Language Brussels, Belgium 26 November 2012 English Windhof, Luxembourg 17 December 2012 English Utrecht, Netherlands 11 February 2013 Dutch Warsaw, Poland 25 February 2013 Polish Gabarone, Botswana 22 April 2013 English Nairobi, Kenya 10 December 2012 English Johannesburg, South Africa 11 March 2013 English Belmont, CA, United States 11 February 2013 English Irvine, CA, United States 25 March 2013 English Roseville, MN, United States 26 November 2013 English Irving, TX, United States 14 January 2013 English Jakarta, Indonesia 3 December 2012 English Singapore 26 November 2012 English Canberra, Australia 21 January 2013 English Sydney, Australia 21 January 2013 English Melbourne, Australia 11 February 2013 English To test your Oracle Linux System Administration skills, take the Oracle Linux 6 Implementation Essentials Certification Exam. For more information on the Oracle Linux Curriculum or to express interest in additional events, go to http://oracle.com/education/linux.

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Enabling Http caching and compression in IIS 7 for asp.net websites

- by anil.kasalanati

Caching – There are 2 ways to set Http caching 1- Use Max age property 2- Expires header. Doing the changes via IIS Console – 1. Select the website for which you want to enable caching and then select Http Responses in the features tab 2. Select the Expires webcontent and on changing the After setting you can generate the max age property for the cache control 3. Following is the screenshot of the headers Then you can use some tool like fiddler and see 302 response coming from the server. Doing it web.config way – We can add static content section in the system.webserver section <system.webServer> <staticContent> <clientCache cacheControlMode="UseMaxAge" cacheControlMaxAge="365.00:00:00" /> </staticContent> Compression - By default static compression is enabled on IIS 7.0 but the only thing which falls under that category is CSS but this is not enough for most of the websites using lots of javascript. If you just thought by enabling dynamic compression would fix this then you are wrong so please follow following steps – In some machines the dynamic compression is not enabled and following are the steps to enable it – Open server manager Roles > Web Server (IIS) Role Services (scroll down) > Add Role Services Add desired role (Web Server > Performance > Dynamic Content Compression) Next, Install, Wait…Done! ? Roles > Web Server (IIS) ? Role Services (scroll down) > Add Role Services Add desired role (Web Server > Performance > Dynamic Content Compression) Next, Install, Wait…Done! Enable - ? Open server manager ? Roles > Web Server (IIS) > Internet Information Services (IIS) Manager Next pane: Sites > Default Web Site > Your Web Site Main pane: IIS > Compression Then comes the custom configuration for encrypting javascript resources. The problem is that the compression in IIS 7 completely works on the mime types and by default there is a mismatch in the mime types Go to following location C:\Windows\System32\inetsrv\config Open applicationHost.config The mimemap is as follows <mimeMap fileExtension=".js" mimeType="application/javascript" /> So the section in the staticTypes should be changed <add mimeType="application/javascript" enabled="true" /> Doing the web.config way – We can add following section in the system.webserver section <system.webServer> <urlCompression doDynamicCompression="false" doStaticCompression="true"/> More Information/References – · http://weblogs.asp.net/owscott/archive/2009/02/22/iis-7-compression-good-bad-how-much.aspx · http://www.west-wind.com/weblog/posts/98538.aspx

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Three Steps to Becoming an Expert Oracle Linux System Administrator

- by Antoinette O'Sullivan

Oracle provides a complete system administration curriculum to take you from your initial experience of Unix to being an expert Oracle Linux system administrator. You can take these live instructor-led courses from your own desk through live-virtual events or by traveling to an education center through in-class events. Step 1: Unix and Linux Essentials This 3-day course is designed for users and administrators who are new to Oracle Linux. It will help you develop the basic UNIX skills needed to interact comfortably and confidently with the operating system. Below is a sample of the in-class events already on the schedule. Location Date Delivery Language Vivoorde, Belgium 28 October 2013 English Berlin, Germany 15 July 2013 German Utrecht, Netherlands 19 August 2013 Dutch Bucarest, Romania 12 August 2013 Romanian Ankara, Turkey 6 January 2013 Turkish Nairobi, Kenya 5 August 2013 English Kaduna, Nigeria 15 July 2013 English Woodmead, South Africa 15 July 2013 English Jakarta, Indonesia 23 September 2013 English Petaling Jaya, Malaysia 22 July 2013 English Makati City, Philippines 3 July 2013 English Bangkok, Thailand 20 November 2013 English Auckland, New Zealand 5 August 2013 English Melbourne, Australia 12 August 2013 English Ottawa, Montreal, Toronto, Canada 3 September 2013 English San Francisco and San Jose, CA, United States 15 July 2013 English Reston, VA, United States 7 August 2013 English Edison, NJ, and King of Prussia, PA, United States 3 September 2013 English Denver, CO, United States 25 September 2013 English Cambridge, MA, and Roseville MN, United States 6 November 2013 English Phoenix, AZ, and Sacramento, CA, United States 25 November 2013 English Step 2: Oracle Linux System Administration Through this 5-day course, become a knowledgeable Oracle Linux system administrator, learning how to install Oracle Linux and the benefits of Oracle's Unbreakable Enterprise Kernel and Ksplice. Below is a sample of in-class events already on the schedule. Location Date Delivery Language Vienna, Austria 1 July 2013 German Vivoorde, Belgium 18 November 2013 English Zagreb, Croatia 16 September 2013 Croatian London, England 3 September 2013 English Manchester, England 9 September 2013 English Paris, France 29 July 2013 French Budapest, Hungary 8 July 2013 Hungarian Utrecht, Netherland 2 September 2013 Dutch Warsaw, Poland 15 July 2013 Polish Bucharest, Romania 2 December 2013 Romanian Ankara, Turkey 7 October 2013 Turkish Istanbul, Turkey 9 September 2013 Turkish Nairobi, Kenya 12 August 2013 English Petaling Jaya, Malaysia 29 July 2013 English Kuala Lumpur, Malaysia 21 October 2013 English Makati City, Philippines 8 July 2013 English Singapore 24 July 2013 English Bangkok, Thailand 26 July 2013 English Canberra, Australia 19 August 2013 English Melbourne, Australia 16 September 2013 English Sydney, Australia 19 August 2013 English Mississauga, Canada 26 August 2013 English Ottawa, Canada 4 November 2013 English Phoenix, AZ, United States 7 October 2013 English Belmont, CA, United States 23 September 2013 English Irvine, CA, United States 18 November 2013 English Sacramento, CA, United States 19 August 2013 English San Francisco, CA, United States 15 July 2013 English Denver, CO, United States 19 August 2013 English Schaumburg, IL, United States 26 August 2013 English Indianapolis, IN, United States 14 October 2013 English Columbia, MD, United States 30 September 2013 English Roseville, MN, United States 19 August 2013 English St Louis, MO, United States 7 October 2013 English Edison, NJ, United States 28 October 2013 English Beaverton, OR, United States 12 August 2013 English Pittsburg, PA, United States 9 December 2013 English Reston, VA, United States 12 August 2013 English Brookfield, WI, United States 30 September 2013 English Sao Paolo, Brazil 15 July 2013 Brazilian Portugese Step 3: Oracle Linux Advanced System Administration This new 3-day course is ideal for administrators who want to learn about managing resources and file systems while developing troubleshooting and advanced storage administration skills. You will learn about Linux Containers, Cgroups, btrfs, DTrace and more. Below is a sample of in-class events already on the schedule. Location Date Delivery Language Melbourne, Australia 9 October 2013 English Roseville, MN, United States 3 September 2013 English To register for or learn more about these courses, go to http://oracle.com/education/linux. Watch this video to learn more about Oracle's operating system training.

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Customizing the processing of ListItems for asp:RadioButtonList with "Flow" layout and "Horizontal"

- by evovision

Hi, recently I was asked to add an ability to pad specific elements from each other to a certain distance in RadioButtonList control. Not quite common everyday task I would say :) Ok, let's get started! Prerequisites: ASP.NET Page having RadioButtonList control with RepeatLayout="Flow" RepeatDirection="Horizontal" properties set. Implementation: The underlying data was coming from another source, so the only fast way to add meta information about padding was the text value itself (yes, not very optimal solution): Id = 1, Name = "This is first element" and for padding we agreed to use <space/> meta tag: Id = 2, Name = "<space padcount="30px"/>This is second padded element" To handle items rendering in RadioButtonList control I've created custom class and subclassed from it: public class CustomRadioButtonList : RadioButtonList { private Action<ListItem, HtmlTextWriter> _preProcess; protected override void RenderItem(ListItemType itemType, int repeatIndex, RepeatInfo repeatInfo, HtmlTextWriter writer) { if (_preProcess != null) { _preProcess(this.Items[repeatIndex], writer); } base.RenderItem(itemType, repeatIndex, repeatInfo, writer); } public void SetPrePrenderItemFunction(Action<ListItem, HtmlTextWriter> func) { _preProcess = func; } } It is pretty straightforward approach, the key is to override RenderItem method. Class has SetPrePrenderItemFunction method which is used to pass custom processing function that takes 2 parameters: ListItem and HtmlTextWriter objects. Now update existing RadioButtonList control in Default.aspx: add this to beginning of the page: <%@ Register Namespace="Sample.Controls" TagPrefix="uc1" %> and update the control to: <uc1:CustomRadioButtonList ID="customRbl" runat="server" DataValueField="Id" DataTextField="Name" RepeatLayout="Flow" RepeatDirection="Horizontal"></uc1:CustomRadioButtonList> Now, from codebehind of the page: Add regular expression that will be used for parsing: private Regex _regex = new Regex(@"(?:[<]space padcount\s*?=\s*?(?:'|"")(?<padcount>\d+)(?:(?:\s+)?px)?(?:'|"")\s*?/>)(?<content>.*)?", RegexOptions.IgnoreCase | RegexOptions.Compiled); and finally setup the processing function in Page_Load: protected void Page_Load(object sender, EventArgs e) { customRbl.DataSource = DataObjects; customRbl.SetPrePrenderItemFunction((listItem, writer) => { Match match = _regex.Match(listItem.Text); if (match.Success) { writer.Write(string.Format(@"<span style=""padding-left:{0}"">Extreme values: </span>", match.Groups["padcount"].Value + "px")); // if you need to pad listitem use code below //x.Attributes.CssStyle.Add("padding-left", match.Groups["padcount"].Value + "px"); // remove meta tag from text listItem.Text = match.Groups["content"].Value; } }); customRbl.DataBind(); } That's it! :) Run the attached sample application: P.S.: of course several other approaches could have been used for that purpose including events and the functionality for processing could also be embedded inside control itself. Current solution suits slightly better due some other reasons for situation where it was used, in your case consider this as a kick start for your own implementation :) Source application: CustomRadioButtonList.zip

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Integrating Oracle Forms Applications 11g Into SOA (4-6/Mai/10)

- by Claudia Costa

Workshop Description This is a Free workshop of 3 days is targeted at Oracle Forms professionals interested in integrating Oracle Forms into a Service Oriented Architecture. The workshop highlights how Forms can be part of a Service Oriented Architecture, how the Oracle Forms functionalities make it possible to integrate existing (or new) Forms applications with new or existing development utilizing the Service Oriented Architecture concepts. The goal is to understand the incremental approach that Forms provides to developers who need to extend their business platform to JEE, allowing Oracle Forms customers to retain their investment in Oracle Forms while leveraging the opportunities offered by complementing technologies. During the event the attendees will implement the Oracle Forms functionalities that make it possible to integrate with SOA. Register Now! Prerequisites · Knowledge of the Oracle Forms development environment (mandatory) · Basic knowledge of the Oracle database · Basic knowledge of the Java Programming Language · Basic knowledge of Oracle Jdeveloper or another Java IDE System Requirements This workshop requires attendees to provide their own laptops for this class. Attendee laptops must meet the following minimum hardware/software requirements: · Laptop/PC with minimum 4 GB RAM · Oracle Database · Oracle Forms 11g R1 PS1 (WebLogic Server 10.1.3.2 + Portal, Forms, Reports and Discoverer ) · Oracle JDeveloper 11g R1 PS1 http://download.oracle.com/otn/java/jdeveloper/1112/jdevstudio11112install.exe · TCP-IP Loopback Adapter Installation (before the SOASuite installation) · Oracle SOASuite 11g R1 PS1 (without BAM component) When asked for an admin password, please use 'welcome1 http://download.oracle.com/otn/nt/middleware/11g/ofm_rcu_win_11.1.1.2.0_disk1_1of1.zip http://download.oracle.com/otn/nt/middleware/11g/ofm_soa_generic_11.1.1.2.0_disk1_1of1.zip · Oracle BI Publisher 10.1.3.4.1 http://download.oracle.com/otn/nt/ias/101341/bipublisher_windows_x86_101341.zip · Oracle BI Publisher Desktop 10.1.3.4. http://download.oracle.com/otn/nt/ias/101341/bipublisher_desktop_windows_x86_101341.zip · At least 1 Oracle Forms solution already upgraded to the Oracle FMW 11g platform. ------------------------------------------------------------------------------------------ Horário e Local: 4-6 de Maio / 9:30-18:00h Oracle, Porto Salvo Register Here Para mais informação por favor contacte: [email protected]

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Enabling OUD Entry Cache for large static groups

- by Sylvain Duloutre

Oracle Unified Directory can take advantage of several caches to improve performances. especially the so-called database cache and the file system cache. In addition to that, it is possible to use an entry cache to cache LDAP entries. By default, the entry cache is not used. In specific deployements involving large static groups, it may worth loading the group entries to the entry cache to speed up group membership and group-based aci evaluation. To do so, run the following commands: First, specify which entries should reside in the entry cache. In the commad below, only entries matching the LDAP filter " (|(objctclass=groupOfNames)(objectclass=groupOfUniqueNames)) " will be stored in the entry cache. dsconfig set-entry-cache-prop \ --cache-name FIFO \ --add include-filter:$\|\(objctclass=groupOfNames$$objectclass=groupOfUniqueNames$\) --port <ADMIN_PORT> \ --bindDN cn=Directory\ Manager \ --bindPassword ****** \ --no-prompt Then enable the entry cache: dsconfig set-entry-cache-prop \ --cache-name FIFO \ --set enabled:true \ --port <ADMIN_PORT> \ --bindDN cn=Directory\ Manager \ --bindPassword ****** \ --no-prompt In addition to that, you can control how much memory the entry cache can use: oud@s96sec1d0-v3:/application/oud : dsconfig -X -n -p <ADMIN PORT> -D "cn=Directory Manager" -w <password> get-entry-cache-prop --cache-name FIFO Property : Value(s) -------------------:----------------------------------------------------------- cache-level : 1 enabled : true exclude-filter : - include-filter : (|(objctclass=groupOfNames)(objectclass=groupOfUniqueNames)) max-entries : 2147483647 max-memory-percent : 90 You can change the max-entries amd max-memory-percent properties to control the entry cache size using the dsconfig set-entry-cache-prop command.

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Oracle HRMS API –Update Employee Fed Tax Rule

- by PRajkumar

API -- pay_federal_tax_rule_api.update_fed_tax_rule Example -- DECLARE lb_correction BOOLEAN; lb_update BOOLEAN; lb_update_override BOOLEAN; lb_update_change_insert BOOLEAN; ld_effective_start_date DATE; ld_effective_end_date DATE; ln_assignment_id NUMBER := 33561; lc_dt_ud_mode VARCHAR2(100) := NULL; ln_object_version_number NUMBER := 0; ln_supp_tax_override_rate PAY_US_EMP_FED_TAX_RULES_F.SUPP_TAX_OVERRIDE_RATE%TYPE; ln_emp_fed_tax_rule_id PAY_US_EMP_FED_TAX_RULES_F.EMP_FED_TAX_RULE_ID%TYPE; BEGIN -- Find Date Track Mode -- ------------------------------- dt_api.find_dt_upd_modes ( -- Input data elements -- ------------------------------ p_effective_date => TO_DATE('12-JUN-2011'), p_base_table_name => 'PER_ALL_ASSIGNMENTS_F', p_base_key_column => 'ASSIGNMENT_ID', p_base_key_value => ln_assignment_id, -- Output data elements -- ------------------------------- p_correction => lb_correction, p_update => lb_update, p_update_override => lb_update_override, p_update_change_insert => lb_update_change_insert ); IF ( lb_update_override = TRUE OR lb_update_change_insert = TRUE ) THEN -- UPDATE_OVERRIDE -- -------------------------------- lc_dt_ud_mode := 'UPDATE_OVERRIDE'; END IF; IF ( lb_correction = TRUE ) THEN -- CORRECTION -- ---------------------- lc_dt_ud_mode := 'CORRECTION'; END IF; IF ( lb_update = TRUE ) THEN -- UPDATE -- ------------- lc_dt_ud_mode := 'UPDATE'; END IF; -- Update Employee Fed Tax Rule -- ---------------------------------------------- pay_federal_tax_rule_api.update_fed_tax_rule ( -- Input data elements -- ----------------------------- p_effective_date => TO_DATE('20-JUN-2011'), p_datetrack_update_mode => lc_dt_ud_mode, p_emp_fed_tax_rule_id => 7417, p_withholding_allowances => 100, p_fit_additional_tax => 10, p_fit_exempt => 'N', p_supp_tax_override_rate => 5, -- Output data elements -- -------------------------------- p_object_version_number => ln_object_version_number, p_effective_start_date => ld_effective_start_date, p_effective_end_date => ld_effective_end_date ); COMMIT; EXCEPTION WHEN OTHERS THEN ROLLBACK; dbms_output.put_line(SQLERRM); END; / SHOW ERR;

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SSIS - XML Source Script

- by simonsabin

The XML Source in SSIS is great if you have a 1 to 1 mapping between entity and table. You can do more complex mapping but it becomes very messy and won't perform. What other options do you have? The challenge with XML processing is to not need a huge amount of memory. I remember using the early versions of Biztalk with loaded the whole document into memory to map from one document type to another. This was fine for small documents but was an absolute killer for large documents. You therefore need a streaming approach. For flexibility however you want to be able to generate your rows easily, and if you've ever used the XmlReader you will know its ugly code to write. That brings me on to LINQ. The is an implementation of LINQ over XML which is really nice. You can write nice LINQ queries instead of the XMLReader stuff. The downside is that by default LINQ to XML requires a whole XML document to work with. No streaming. Your code would look like this. We create an XDocument and then enumerate over a set of annoymous types we generate from our LINQ statement XDocument x = XDocument.Load("C:\\TEMP\\CustomerOrders-Attribute.xml"); foreach (var xdata in (from customer in x.Elements("OrderInterface").Elements("Customer") from order in customer.Elements("Orders").Elements("Order") select new { Account = customer.Attribute("AccountNumber").Value , OrderDate = order.Attribute("OrderDate").Value } )) { Output0Buffer.AddRow(); Output0Buffer.AccountNumber = xdata.Account; Output0Buffer.OrderDate = Convert.ToDateTime(xdata.OrderDate); } As I said the downside to this is that you are loading the whole document into memory. I did some googling and came across some helpful videos from a nice UK DPE Mike Taulty http://www.microsoft.com/uk/msdn/screencasts/screencast/289/LINQ-to-XML-Streaming-In-Large-Documents.aspx. Which show you how you can combine LINQ and the XmlReader to get a semi streaming approach. I took what he did and implemented it in SSIS. What I found odd was that when I ran it I got different numbers between using the streamed and non streamed versions. I found the cause was a little bug in Mikes code that causes the pointer in the XmlReader to progress past the start of the element and thus foreach (var xdata in (from customer in StreamReader("C:\\TEMP\\CustomerOrders-Attribute.xml","Customer") from order in customer.Elements("Orders").Elements("Order") select new { Account = customer.Attribute("AccountNumber").Value , OrderDate = order.Attribute("OrderDate").Value } )) { Output0Buffer.AddRow(); Output0Buffer.AccountNumber = xdata.Account; Output0Buffer.OrderDate = Convert.ToDateTime(xdata.OrderDate); } These look very similiar and they are the key element is the method we are calling, StreamReader. This method is what gives us streaming, what it does is return a enumerable list of elements, because of the way that LINQ works this results in the data being streamed in. static IEnumerable<XElement> StreamReader(String filename, string elementName) { using (XmlReader xr = XmlReader.Create(filename)) { xr.MoveToContent(); while (xr.Read()) //Reads the first element { while (xr.NodeType == XmlNodeType.Element && xr.Name == elementName) { XElement node = (XElement)XElement.ReadFrom(xr); yield return node; } } xr.Close(); } } This code is specifically designed to return a list of the elements with a specific name. The first Read reads the root element and then the inner while loop checks to see if the current element is the type we want. If not we do the xr.Read() again until we find the element type we want. We then use the neat function XElement.ReadFrom to read an element and all its sub elements into an XElement. This is what is returned and can be consumed by the LINQ statement. Essentially once one element has been read we need to check if we are still on the same element type and name (the inner loop) This was Mikes mistake, if we called .Read again we would advance the XmlReader beyond the start of the Element and so the ReadFrom method wouldn't work. So with the code above you can use what ever LINQ statement you like to flatten your XML into the rowsets you want. You could even have multiple outputs and generate your own surrogate keys.

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On automating a split-mirror ASM backup with EMC TimeFinder ...

- by [email protected]

Normal 0 21 false false false MicrosoftInternetExplorer4 st1\:*{behavior:url(#ieooui) } /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman"; mso-ansi-language:#0400; mso-fareast-language:#0400; mso-bidi-language:#0400;} Hi clerks, Offloading the backup operation to another host using disk cloning could really improve the performance on highly busy databases ( 24x7, zero downtime and all this stuff ...) There are well know white papers on this subject, ASM included, but today Im showing you a nice way to automate the procedure using shell scripting with EMC TimeFinder technologies: Assumptions: *********** ASM diskgroups name: +data_${db_name} : asm data diskgroup +fra_${db_name} : asm fra diskgroup EMC Time Finder sync groups name: rac_${DB_NAME}_data_tf : data group rac_${DB_NAME}_fra_tf: fra group There are two scripts, one located on the production box ( bck_database.sh ) and the other one on the backup server node ( bck_database_mirror.sh ) The second one is remotly executed from the production host There are a bunch of variables along the code with selfexplanatory names I guess, anyway let me know if you want some help #!/bin/ksh ### ### Copyright (c) 1988, 2010, Oracle Corporation. All Rights Reserved. ### ### NAME ### bck_database.sh ### ### DESCRIPTION ### Database backup on third mirror ### ### RETURNS ### ### NOTES ### ### MODIFIED (DD/MM/YY) ### Oracle 28/01/10 - Creacion ### V_DATE=`/bin/date +%Y%m%d_%H%M%S` V_FICH_LOG=`dirname $0`/trace_dir_location/`basename $0`.${V_DATE}.log exec 4>&1 tee ${V_FICH_LOG} >&4 |& exec 1>&p 2>&1 ADMIN_DIR=`dirname $0` . ${ADMIN_DIR}/setenv_instance.sh -- This script should set the instance vars like Oracle Home, Sid, db_name ... if [ $? -ne 0 ] then echo "Error when setting the environment." exit 1 fi echo "${V_DATE} ####################################################" echo "Executing database backup: ${DB_NAME}" echo "####################################################################" V_DATE=`/bin/date +%Y%m%d_%H%M%S` echo "${V_DATE} ####################################################" echo "Sync asm data diskgroups ..." echo "####################################################################" sudo symmir -g rac_${DB_NAME}_data_tf establish -noprompt if [ $? -ne 0 ] then echo "Error when sync asm data diskgroups" exit 2 fi V_DATE=`/bin/date +%Y%m%d_%H%M%S` echo "${V_DATE} ####################################################" echo "Verifying asm data disks ..." echo "####################################################################" sudo symmir -g rac_${DB_NAME}_data_tf -i 30 verify if [ $? -ne 0 ] then echo "Error when verifying asm data diskgroups" exit 3 fi V_DATE=`/bin/date +%Y%m%d_%H%M%S` echo "${V_DATE} ####################################################" echo "Sync asm fra diskgroups ..." echo "####################################################################" sudo symmir -g rac_${DB_NAME}_fra_tf establish -noprompt if [ $? -ne 0 ] then echo "Error when sync asm fra diskgroups" exit 4 fi V_DATE=`/bin/date +%Y%m%d_%H%M%S` echo "${V_DATE} ####################################################" echo "Verifying asm fra disks ..." echo "####################################################################" sudo symmir -g rac_${DB_NAME}_fra_tf -i 30 verify if [ $? -ne 0 ] then echo "Error when verifying asm fra diskgroups" exit 5 fi V_DATE=`/bin/date +%Y%m%d_%H%M%S` echo "${V_DATE} ####################################################" echo "ASM sync sucessfully completed!" echo "####################################################################" V_DATE=`/bin/date +%Y%m%d_%H%M%S` echo "${V_DATE} ####################################################" echo "Updating status ${DB_NAME} to BEGIN BACKUP ..." echo "####################################################################" sqlplus -s /nolog <<-! whenever sqlerror exit 1 connect / as sysdba whenever sqlerror exit alter system archive log current; alter database ${DB_NAME} begin backup; ! if [ $? -ne 0 ] then echo "Error when updating database status to BEGIN backup" exit 6 fi V_DATE=`/bin/date +%Y%m%d_%H%M%S` echo "${V_DATE} ####################################################" echo "Splitting asm data disks....." echo "####################################################################" sudo symmir -g rac_${DB_NAME}_data_tf split -noprompt if [ $? -ne 0 ] then echo "Error when splitting asm data disks" exit 7 fi V_DATE=`/bin/date +%Y%m%d_%H%M%S` echo "${V_DATE} ####################################################" echo "Updating status ${DB_NAME} to END BACKUP ..." echo "####################################################################" sqlplus -s /nolog <<-! whenever sqlerror exit 1 connect / as sysdba whenever sqlerror exit alter database ${DB_NAME} end backup; alter system archive log current; ! if [ $? -ne 0 ] then echo "Error when updating database status to END backup" exit 8 fi V_DATE=`/bin/date +%Y%m%d_%H%M%S` echo "${V_DATE} ####################################################" echo "Generating controlfile copies...." echo "####################################################################" rman<<-! connect target / run { allocate channel ch1 type DISK; copy current controlfile to '+FRA_${DB_NAME}/${DB_NAME}/CONTROLFILE/control_mount.ctl'; copy current controlfile to '+FRA_${DB_NAME}/${DB_NAME}/CONTROLFILE/control_backup.ctl'; } ! if [ $? -ne 0 ] then echo "Error generating controlfile copies" exit 9 fi V_DATE=`/bin/date +%Y%m%d_%H%M%S` echo "${V_DATE} ####################################################" echo "Resync RMAN catalog ....." echo "####################################################################" rman<<-! connect target / connect catalog ${V_RMAN_USR}/${V_RMAN_PWD}@${V_DB_CATALOG} resync catalog; ! if [ $? -ne 0 ] then echo "Error when resyncing RMAN catalog" exit 10 fi V_DATE=`/bin/date +%Y%m%d_%H%M%S` echo "${V_DATE} ####################################################" echo "Splitting asm fra disks....." echo "####################################################################" sudo symmir -g rac_${DB_NAME}_fra_tf split -noprompt if [ $? -ne 0 ] then echo "Error when splitting asm fra disks" exit 11 fi echo "WARNING!: Calling bck_database_mirror.sh host ${NODE_BCK_SERVER}..." ssh ${NODO_BCK_SERVER} ${ADMIN_DIR_BCK}/bck_database_mirror.sh if [ $? -ne 0 ] then echo "Error, when remote executing the backup " exit 12 fi V_DATE=`/bin/date +%Y%m%d_%H%M%S` echo "${V_DATE} ####################################################" echo "Cleaning the archived redo logs already copied to tape ..." echo "####################################################################" rman<<-! connect target / connect catalog ${V_RMAN_USR}/${V_RMAN_PWD}@${V_DB_CATALOG} run { resync catalog; delete noprompt archivelog all backed up 1 times to device type sbt; } ! if [ $? -ne 0 ] then echo "Error when cleaning the archived redo logs" exit 13 fi echo "${V_DATE} ####################################################" echo "Backup sucessfully executed!!" echo "####################################################################" exit 0 ------------------------------------------------------------------------------ ------------------------** BACKUP SERVER NODE ** ----------------------------- ------------------------------------------------------------------------------ #!/bin/ksh ### ### Copyright (c) 1988, 2010, Oracle Corporation. All Rights Reserved. ### ### ### NAME ### bck_database_mirror.sh ### ### DESCRIPTION ### Backup @ backup server ### ### RETURNS ### ### NOTES ### ### MODIFIED (DD/MM/YY) ### Oracle 28/01/10 - Creacion V_DATE=`/bin/date +%Y%m%d_%H%M%S` echo "${V_DATE} ####################################################" echo "Starting ASM instance ..." echo "####################################################################" ${V_ADMIN_DIR}/start_asm.sh -- This script is supposed to start the ASM instance in the backup server if [ $? -ne 0 ] then echo "Error when tying to start ASM instance." exit 1 fi . ${V_ADMIN_DIR}/setenv_asm.sh -- This script is supposed to set the env. variables of the ASM instance if [ $? -ne 0 ] then echo "Error when setting the ASM environment" exit 1 fi V_DATE=`/bin/date +%Y%m%d_%H%M%S` echo "${V_DATE} ####################################################" echo "The asm diskgroups/disks dettected are the following ..." echo "####################################################################" sqlplus /nolog <<-! whenever sqlerror exit 1 connect / as sysdba whenever sqlerror exit SET LINES 200 COL PATH FORMAT A25 SELECT DISK.MOUNT_STATUS, DISK.PATH, DISK.NAME, DISK_GROUP.NAME, DISK_GROUP.TOTAL_MB FROM V\$ASM_DISK DISK, V\$ASM_DISKGROUP DISK_GROUP WHERE DISK.GROUP_NUMBER=DISK_GROUP.GROUP_NUMBER; ! V_ADMIN_DIR=`dirname $0` . ${V_ADMIN_DIR}/setenv_instance.sh -- This script is supposed to set the env. variables of the database instance if [ $? -ne 0 ] then echo "Error when setting the database instance environment" exit 1 fi V_DATE=`/bin/date +%Y%m%d_%H%M%S` echo "${V_DATE} ####################################################" echo "Starting ${DB_NAME} in MOUNT mode..." echo "####################################################################" ${V_ADMIN_DIR}/start_instance_mount.sh -- This script is supposed to do a startup mount if [ $? -ne 0 ] then echo "Error starting ${DB_NAME} in MOUNT mode" exit 1 fi V_DATE=`/bin/date +%Y%m%d_%H%M%S` echo "${V_DATE} ####################################################" echo "Executing RMAN backup..." echo "####################################################################" rman<<-! connect target / connect catalog ${V_RMAN_USR}/${V_RMAN_PWD}@${V_DB_CATALOG} run { allocate channel ch1 type 'SBT_TAPE' parms'ENV=(TDPO_OPTFILE=/opt/tivoli/tsm/client/oracle/bin64/tdpo.opt)'; -- TDPO Media Library crosscheck archivelog all; backup tag BCK_CONTROLFILE_ST_${DB_NAME} format 'ctl_%d_%s__%p_%t' controlfilecopy '+FRA_${DB_NAME}/${DB_NAME}/CONTROLFILE/control_backup.ctl'; backup tag BCK_DATAFILE_ST_${DB_NAME} full format 'db_%d_%s_%p_%t'database; backup tag BCK_ARCHLOG_ST_${DB_NAME} format 'al_%d_%s_%p_%t' archivelog all; release channel ch1; } ! if [ $? -ne 0 ] then echo "Error executing the RMAN backup" exit 1 fi ${V_ADMIN_DIR}/stop_instance_immediate.sh -- This script is supposed to do a shutdown immediate of the database instance ${ADMIN_DIR}/stop_asm_immediate.sh -- This script is supposed to do a shutdown immediate of the ASM instance exit 0 fi Hope it helps someone! --L

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ASP.NET Cookies

- by Aamir Hasan

Cookies are domain specific and cannot be used across different network domains. The only domain that can read a cookie is the domain that sets it. It does not matter what domain name you set.Cookies are used to store small pieces of information on a client machine. A cookie can store only up to 4 KB of information. Generally cookies are used to store data which user types frequently such as user id and password to login to a site.The HttpCookie class defined in the System.Web namespace represents a browser cookie.Creating cookies (C#)Dim cookie As HttpCookie = New HttpCookie("UID")cookie.Value = "id"cookie.Expires = #3/30/2010#Response.Cookies.Add(cookie)cookie = New HttpCookie("username")cookie.Value = "username"cookie.Expires = #3/31/2010#Response.Cookies.Add(cookie)Creating cookies (VB.NET) HttpCookie cookie = Request.Cookies["Preferences"]; if (cookie == null) { cookie = new HttpCookie("Preferences"); } cookie["Name"] = txtName.Text; cookie.Expires = DateTime.Now.AddYears(1); Response.Cookies.Add(cookie);Creating cookies (C#) HttpCookie MyCookie = new HttpCookie("Background"); MyCookie.Value = "value"; Response.Cookies.Add(MyCookie);Reading cookies (VB.NET)Dim cookieCols As New HttpCookieCollectioncookieCols = Request.CookiesDim str As String' Read and add all cookies to the list boxFor Each str In cookieColsListBox1.Items.Add("Value:" Request.Cookies(str).Value)Next Reading cookies (C#) ArrayList colCookies = new ArrayList(); for (int i = 0; i < Request.Cookies.Count; i++) colCookies.Add(Request.Cookies[i]); grdCookies.DataSource = colCookies; grdCookies.DataBind();Deleting cookies (VB.NET)Dim cookieCols As New HttpCookieCollectioncookieCols = Request.CookiesDim str As String' Read and add all cookies to the list boxRequest.Cookies.Remove("PASS")Request.Cookies.Remove("UID")Deleting cookies (C#)string[] cookies = Request.Cookies.AllKeys; foreach (string cookie in cookies) { ListBox1.Items.Add("Deleting " + cookie); Response.Cookies[cookie].Expires = DateTime.Now.AddDays(-1); }

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Diving into OpenStack Network Architecture - Part 1

- by Ronen Kofman

v\:* {behavior:url(#default#VML);} o\:* {behavior:url(#default#VML);} w\:* {behavior:url(#default#VML);} .shape {behavior:url(#default#VML);} rkofman Normal rkofman 83 3045 2014-05-23T21:11:00Z 2014-05-27T06:58:00Z 3 1883 10739 Oracle Corporation 89 25 12597 12.00 140 Clean Clean false false false false EN-US X-NONE HE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:Arial; mso-bidi-theme-font:minor-bidi; mso-bidi-language:AR-SA;} Before we begin OpenStack networking has very powerful capabilities but at the same time it is quite complicated. In this blog series we will review an existing OpenStack setup using the Oracle OpenStack Tech Preview and explain the different network components through use cases and examples. The goal is to show how the different pieces come together and provide a bigger picture view of the network architecture in OpenStack. This can be very helpful to users making their first steps in OpenStack or anyone wishes to understand how networking works in this environment. We will go through the basics first and build the examples as we go. According to the recent Icehouse user survey and the one before it, Neutron with Open vSwitch plug-in is the most widely used network setup both in production and in POCs (in terms of number of customers) and so in this blog series we will analyze this specific OpenStack networking setup. As we know there are many options to setup OpenStack networking and while Neturon + Open vSwitch is the most popular setup there is no claim that it is either best or the most efficient option. Neutron + Open vSwitch is an example, one which provides a good starting point for anyone interested in understanding OpenStack networking. Even if you are using different kind of network setup such as different Neutron plug-in or even not using Neutron at all this will still be a good starting point to understand the network architecture in OpenStack. The setup we are using for the examples is the one used in the Oracle OpenStack Tech Preview. Installing it is simple and it would be helpful to have it as reference. In this setup we use eth2 on all servers for VM network, all VM traffic will be flowing through this interface.The Oracle OpenStack Tech Preview is using VLANs for L2 isolation to provide tenant and network isolation. The following diagram shows how we have configured our deployment: This first post is a bit long and will focus on some basic concepts in OpenStack networking. The components we will be discussing are Open vSwitch, network namespaces, Linux bridge and veth pairs. Note that this is not meant to be a comprehensive review of these components, it is meant to describe the component as much as needed to understand OpenStack network architecture. All the components described here can be further explored using other resources. Open vSwitch (OVS) In the Oracle OpenStack Tech Preview OVS is used to connect virtual machines to the physical port (in our case eth2) as shown in the deployment diagram. OVS contains bridges and ports, the OVS bridges are different from the Linux bridge (controlled by the brctl command) which are also used in this setup. To get started let’s view the OVS structure, use the following command: # ovs-vsctl show 7ec51567-ab42-49e8-906d-b854309c9edf Bridge br-int Port br-int Interface br-int type: internal Port "int-br-eth2" Interface "int-br-eth2" Bridge "br-eth2" Port "br-eth2" Interface "br-eth2" type: internal Port "eth2" Interface "eth2" Port "phy-br-eth2" Interface "phy-br-eth2" ovs_version: "1.11.0" We see a standard post deployment OVS on a compute node with two bridges and several ports hanging off of each of them. The example above is a compute node without any VMs, we can see that the physical port eth2 is connected to a bridge called “br-eth2”. We also see two ports "int-br-eth2" and "phy-br-eth2" which are actually a veth pair and form virtual wire between the two bridges, veth pairs are discussed later in this post. When a virtual machine is created a port is created on one the br-int bridge and this port is eventually connected to the virtual machine (we will discuss the exact connectivity later in the series). Here is how OVS looks after a VM was launched: # ovs-vsctl show efd98c87-dc62-422d-8f73-a68c2a14e73d Bridge br-int Port "int-br-eth2" Interface "int-br-eth2" Port br-int Interface br-int type: internal Port "qvocb64ea96-9f" tag: 1 Interface "qvocb64ea96-9f" Bridge "br-eth2" Port "phy-br-eth2" Interface "phy-br-eth2" Port "br-eth2" Interface "br-eth2" type: internal Port "eth2" Interface "eth2" ovs_version: "1.11.0" Bridge "br-int" now has a new port "qvocb64ea96-9f" which connects to the VM and tagged with VLAN 1. Every VM which will be launched will add a port on the “br-int” bridge for every network interface the VM has. Another useful command on OVS is dump-flows for example: # ovs-ofctl dump-flows br-int NXST_FLOW reply (xid=0x4): cookie=0x0, duration=735.544s, table=0, n_packets=70, n_bytes=9976, idle_age=17, priority=3,in_port=1,dl_vlan=1000 actions=mod_vlan_vid:1,NORMAL cookie=0x0, duration=76679.786s, table=0, n_packets=0, n_bytes=0, idle_age=65534, hard_age=65534, priority=2,in_port=1 actions=drop cookie=0x0, duration=76681.36s, table=0, n_packets=68, n_bytes=7950, idle_age=17, hard_age=65534, priority=1 actions=NORMAL As we see the port which is connected to the VM has the VLAN tag 1. However the port on the VM network (eth2) will be using tag 1000. OVS is modifying the vlan as the packet flow from the VM to the physical interface. In OpenStack the Open vSwitch agent takes care of programming the flows in Open vSwitch so the users do not have to deal with this at all. If you wish to learn more about how to program the Open vSwitch you can read more about it at http://openvswitch.org looking at the documentation describing the ovs-ofctl command. Network Namespaces (netns) Network namespaces is a very cool Linux feature can be used for many purposes and is heavily used in OpenStack networking. Network namespaces are isolated containers which can hold a network configuration and is not seen from outside of the namespace. A network namespace can be used to encapsulate specific network functionality or provide a network service in isolation as well as simply help to organize a complicated network setup. Using the Oracle OpenStack Tech Preview we are using the latest Unbreakable Enterprise Kernel R3 (UEK3), this kernel provides a complete support for netns. Let's see how namespaces work through couple of examples to control network namespaces we use the ip netns command: Defining a new namespace: # ip netns add my-ns # ip netns list my-ns As mentioned the namespace is an isolated container, we can perform all the normal actions in the namespace context using the exec command for example running the ifconfig command: # ip netns exec my-ns ifconfig -a lo Link encap:Local Loopback LOOPBACK MTU:16436 Metric:1 RX packets:0 errors:0 dropped:0 overruns:0 frame:0 TX packets:0 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:0 RX bytes:0 (0.0 b) TX bytes:0 (0.0 b) We can run every command in the namespace context, this is especially useful for debug using tcpdump command, we can ping or ssh or define iptables all within the namespace. Connecting the namespace to the outside world: There are various ways to connect into a namespaces and between namespaces we will focus on how this is done in OpenStack. OpenStack uses a combination of Open vSwitch and network namespaces. OVS defines the interfaces and then we can add those interfaces to namespace. So first let's add a bridge to OVS: # ovs-vsctl add-br my-bridge Now let's add a port on the OVS and make it internal: # ovs-vsctl add-port my-bridge my-port # ovs-vsctl set Interface my-port type=internal And let's connect it into the namespace: # ip link set my-port netns my-ns Looking inside the namespace: # ip netns exec my-ns ifconfig -a lo Link encap:Local Loopback LOOPBACK MTU:65536 Metric:1 RX packets:0 errors:0 dropped:0 overruns:0 frame:0 TX packets:0 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:0 RX bytes:0 (0.0 b) TX bytes:0 (0.0 b) my-port Link encap:Ethernet HWaddr 22:04:45:E2:85:21 BROADCAST MTU:1500 Metric:1 RX packets:0 errors:0 dropped:0 overruns:0 frame:0 TX packets:0 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:0 RX bytes:0 (0.0 b) TX bytes:0 (0.0 b) Now we can add more ports to the OVS bridge and connect it to other namespaces or other device like physical interfaces. Neutron is using network namespaces to implement network services such as DCHP, routing, gateway, firewall, load balance and more. In the next post we will go into this in further details. Linux Bridge and veth pairs Linux bridge is used to connect the port from OVS to the VM. Every port goes from the OVS bridge to a Linux bridge and from there to the VM. The reason for using regular Linux bridges is for security groups’ enforcement. Security groups are implemented using iptables and iptables can only be applied to Linux bridges and not to OVS bridges. Veth pairs are used extensively throughout the network setup in OpenStack and are also a good tool to debug a network problem. Veth pairs are simply a virtual wire and so veths always come in pairs. Typically one side of the veth pair will connect to a bridge and the other side to another bridge or simply left as a usable interface. In this example we will create some veth pairs, connect them to bridges and test connectivity. This example is using regular Linux server and not an OpenStack node: Creating a veth pair, note that we define names for both ends: # ip link add veth0 type veth peer name veth1 # ifconfig -a . . veth0 Link encap:Ethernet HWaddr 5E:2C:E6:03:D0:17 BROADCAST MULTICAST MTU:1500 Metric:1 RX packets:0 errors:0 dropped:0 overruns:0 frame:0 TX packets:0 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:1000 RX bytes:0 (0.0 b) TX bytes:0 (0.0 b) veth1 Link encap:Ethernet HWaddr E6:B6:E2:6D:42:B8 BROADCAST MULTICAST MTU:1500 Metric:1 RX packets:0 errors:0 dropped:0 overruns:0 frame:0 TX packets:0 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:1000 RX bytes:0 (0.0 b) TX bytes:0 (0.0 b) . . To make the example more meaningful this we will create the following setup: veth0 => veth1 => br-eth3 => eth3 ======> eth2 on another Linux server br-eth3 – a regular Linux bridge which will be connected to veth1 and eth3 eth3 – a physical interface with no IP on it, connected to a private network eth2 – a physical interface on the remote Linux box connected to the private network and configured with the IP of 50.50.50.1 Once we create the setup we will ping 50.50.50.1 (the remote IP) through veth0 to test that the connection is up: # brctl addbr br-eth3 # brctl addif br-eth3 eth3 # brctl addif br-eth3 veth1 # brctl show bridge name bridge id STP enabled interfaces br-eth3 8000.00505682e7f6 no eth3 veth1 # ifconfig veth0 50.50.50.50 # ping -I veth0 50.50.50.51 PING 50.50.50.51 (50.50.50.51) from 50.50.50.50 veth0: 56(84) bytes of data. 64 bytes from 50.50.50.51: icmp_seq=1 ttl=64 time=0.454 ms 64 bytes from 50.50.50.51: icmp_seq=2 ttl=64 time=0.298 ms When the naming is not as obvious as the previous example and we don't know who are the paired veth interfaces we can use the ethtool command to figure this out. The ethtool command returns an index we can look up using ip link command, for example: # ethtool -S veth1 NIC statistics: peer_ifindex: 12 # ip link . . 12: veth0: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc pfifo_fast state UP qlen 1000 Summary That’s all for now, we quickly reviewed OVS, network namespaces, Linux bridges and veth pairs. These components are heavily used in the OpenStack network architecture we are exploring and understanding them well will be very useful when reviewing the different use cases. In the next post we will look at how the OpenStack network is laid out connecting the virtual machines to each other and to the external world. @RonenKofman

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Insert Record by Drag & Drop from ADF Tree to ADF Tree Table

- by arul.wilson(at)oracle.com

If you want to create record based on the values Dragged from ADF Tree and Dropped on a ADF Tree Table, then here you go.UseCase DescriptionUser Drags a tree node from ADF Tree and Drops it on a ADF Tree Table node. A new row gets added in the Tree Table based on the source tree node, subsequently a record gets added to the database table on which Tree table in based on.Following description helps to achieve this using ADF BC.Run the DragDropSchema.sql to create required tables.Create Business Components from tables (PRODUCTS, COMPONENTS, SUB_COMPONENTS, USERS, USER_COMPONENTS) created above.Add custom method to App Module Impl, this method will be used to insert record from view layer. public String createUserComponents(String p_bugdbId, String p_productId, String p_componentId, String p_subComponentId){ Row newUserComponentsRow = this.getUserComponentsView1().createRow(); try { newUserComponentsRow.setAttribute("Bugdbid", p_bugdbId); newUserComponentsRow.setAttribute("ProductId", new oracle.jbo.domain.Number(p_productId)); newUserComponentsRow.setAttribute("Component1", p_componentId); newUserComponentsRow.setAttribute("SubComponent", p_subComponentId); } catch (Exception e) { e.printStackTrace(); return "Failure"; } return "Success"; }Expose this method to client interface.To display the root node we need a custom VO which can be achieved using below query. SELECT Users.ACTIVE, Users.BUGDB_ID, Users.EMAIL, Users.FIRSTNAME, Users.GLOBAL_ID, Users.LASTNAME, Users.MANAGER_ID, Users.MANAGER_PRIVILEGEFROM USERS UsersWHERE Users.MANAGER_ID is NULLCreate VL between UsersView and UsersRootNodeView VOs.Drop ProductsView from DC as ADF Tree to jspx page.Add Tree Level Rule based on ComponentsView and SubComponentsView.Drop UsersRootNodeView as ADF Tree TableAdd Tree Level Rules based on UserComponentsView and UsersView.Add DragSource to ADF Tree and CollectionDropTarget to ADF Tree Table respectively.Bind CollectionDropTarget's DropTarget to backing bean and implement method of signature DnDAction (DropEvent), this method gets invoked when Tree Table encounters a drop action, here details required for creating new record are captured from the drag source and passed to 'createUserComponents' method. public DnDAction onTreeDrop(DropEvent dropEvent) { String newBugdbId = ""; String msgtxt=""; try { // Getting the target node bugdb id Object serverRowKey = dropEvent.getDropSite(); if (serverRowKey != null) { //Code for Tree Table as target String dropcomponent = dropEvent.getDropComponent().toString(); dropcomponent = (String)dropcomponent.subSequence(0, dropcomponent.indexOf("[")); if (dropcomponent.equals("RichTreeTable")){ RichTreeTable richTreeTable = (RichTreeTable)dropEvent.getDropComponent(); richTreeTable.setRowKey(serverRowKey); int rowIndexTreeTable = richTreeTable.getRowIndex(); //Drop Target Logic if (((JUCtrlHierNodeBinding)richTreeTable.getRowData(rowIndexTreeTable)).getAttributeValue()==null) { //Get Parent newBugdbId = (String)((JUCtrlHierNodeBinding)richTreeTable.getRowData(rowIndexTreeTable)).getParent().getAttributeValue(); } else { if (isNum(((JUCtrlHierNodeBinding)richTreeTable.getRowData(rowIndexTreeTable)).getAttributeValue().toString())) { //Get Parent's parent newBugdbId = (String)((JUCtrlHierNodeBinding)richTreeTable.getRowData(rowIndexTreeTable)).getParent().getParent().getAttributeValue(); } else{ //Dropped on USER newBugdbId = (String)((JUCtrlHierNodeBinding)richTreeTable.getRowData(rowIndexTreeTable)).getAttributeValue(); } } } } DataFlavor<RowKeySet> df = DataFlavor.getDataFlavor(RowKeySet.class); RowKeySet droppedValue = dropEvent.getTransferable().getData(df); Object[] keys = droppedValue.toArray(); Key componentKey = null; Key subComponentKey = null; // binding for createUserComponents method defined in AppModuleImpl class to insert record in database. operationBinding = bindings.getOperationBinding("createUserComponents"); // get the Product, Component, Subcomponent details and insert to UserComponents table. // loop through the keys if more than one comp/subcomponent is select. for (int i = 0; i < keys.length; i++) { System.out.println("in for :"+i); List list = (List)keys[i]; System.out.println("list "+i+" : "+list); System.out.println("list size "+list.size()); if (list.size() == 1) { // we cannot drag and drop the highest node ! msgtxt="You cannot drop Products, please drop Component or SubComponent from the Tree."; System.out.println(msgtxt); this.showInfoMessage(msgtxt); } else { if (list.size() == 2) { // were doing the first branch, in this case all components. componentKey = (Key)list.get(1); Object[] droppedProdCompValues = componentKey.getAttributeValues(); operationBinding.getParamsMap().put("p_bugdbId",newBugdbId); operationBinding.getParamsMap().put("p_productId",droppedProdCompValues[0]); operationBinding.getParamsMap().put("p_componentId",droppedProdCompValues[1]); operationBinding.getParamsMap().put("p_subComponentId","ALL"); Object result = operationBinding.execute(); } else { subComponentKey = (Key)list.get(2); Object[] droppedProdCompSubCompValues = subComponentKey.getAttributeValues(); operationBinding.getParamsMap().put("p_bugdbId",newBugdbId); operationBinding.getParamsMap().put("p_productId",droppedProdCompSubCompValues[0]); operationBinding.getParamsMap().put("p_componentId",droppedProdCompSubCompValues[1]); operationBinding.getParamsMap().put("p_subComponentId",droppedProdCompSubCompValues[2]); Object result = operationBinding.execute(); } } } /* this.getCil1().setDisabled(false); this.getCil1().setPartialSubmit(true); */ return DnDAction.MOVE; } catch (Exception ex) { System.out.println("drop failed with : " + ex.getMessage()); ex.printStackTrace(); /* this.getCil1().setDisabled(true); */ return DnDAction.NONE; } } Run jspx page and drop a Component or Subcomponent from Products Tree to UserComponents Tree Table.

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ViewBag dynamic in ASP.NET MVC 3 - RC 2

- by hajan

Earlier today Scott Guthrie announced the ASP.NET MVC 3 - Release Candidate 2. I installed the new version right after the announcement since I was eager to see the new features. Among other cool features included in this release candidate, there is a new ViewBag dynamic which can be used to pass data from Controllers to Views same as you use ViewData[] dictionary. What is great and nice about ViewBag (despite the name) is that its a dynamic type which means you can dynamically get/set values and add any number of additional fields without need of strongly-typed classes. In order to see the difference, please take a look at the following examples. Example - Using ViewData Controller public ActionResult Index() { List<string> colors = new List<string>(); colors.Add("red"); colors.Add("green"); colors.Add("blue"); ViewData["listColors"] = colors; ViewData["dateNow"] = DateTime.Now; ViewData["name"] = "Hajan"; ViewData["age"] = 25; return View(); } View (ASPX View Engine) <p> My name is <b><%: ViewData["name"] %></b>, <b><%: ViewData["age"] %></b> years old. <br /> I like the following colors: </p> <ul id="colors"> <% foreach (var color in ViewData["listColors"] as List<string>){ %> <li> <font color="<%: color %>"><%: color %></font> </li> <% } %> </ul> <p> <%: ViewData["dateNow"] %> </p> (I know the code might look cleaner with Razor View engine, but it doesn’t matter right? ;) ) Example - Using ViewBag Controller public ActionResult Index() { List<string> colors = new List<string>(); colors.Add("red"); colors.Add("green"); colors.Add("blue"); ViewBag.ListColors = colors; //colors is List ViewBag.DateNow = DateTime.Now; ViewBag.Name = "Hajan"; ViewBag.Age = 25; return View(); } You see the difference? View (ASPX View Engine) <p> My name is <b><%: ViewBag.Name %></b>, <b><%: ViewBag.Age %></b> years old. <br /> I like the following colors: </p> <ul id="colors"> <% foreach (var color in ViewBag.ListColors) { %> <li> <font color="<%: color %>"><%: color %></font> </li> <% } %> </ul> <p> <%: ViewBag.DateNow %> </p> In my example now I don’t need to cast ViewBag.ListColors as List<string> since ViewBag is dynamic type! On the other hand the ViewData[“key”] is object.I would like to note that if you use ViewData["ListColors"] = colors; in your Controller, you can retrieve it in the View by using ViewBag.ListColors. And the result in both cases is Hope you like it! Regards, Hajan

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RSS Feeds currently on Simple-Talk

- by Andrew Clarke

There are a number of news-feeds for the Simple-Talk site, but for some reason they are well hidden. Whilst we set about reorganizing them, I thought it would be a good idea to list some of the more important ones. The most important one for almost all purposes is the Homepage RSS feed which represents the blogs and articles that are placed on the homepage. Main Site Feed representing the Homepage ..which is good for most purposes but won't always have all the blogs, or maybe it will occasionally miss an article. If you aren't interested in all the content, you can just use the RSS feeds that are more relevant to your interests. (We'll be increasing these categories soon) The newsfeed for SQL articles The .NET section newsfeed The newsfeed for Red Gate books The newsfeed for Opinion articles The SysAdmin section newsfeed if you want to get a more refined feed, then you can pick and choose from these feeds for each category so as to make up your custom news-feed in the SQL section, SQL Training Learn SQL Server Database Administration TSQL Programming SQL Server Performance Backup and Recovery SQL Tools SSIS SSRS (Reporting Services) in .NET there are... ASP.NET Windows Forms .NET Framework ,NET Performance Visual Studio .NET tools in Sysadmin there are Exchange General Virtualisation Unified Messaging Powershell in opinion, there is... Geek of the Week Opinion Pieces in Books, there is .NET Books SQL Books SysAdmin Books And all the blogs have got feeds. So although you can get all the blogs from here.. Main Blog Feed You can get individual RSS feeds.. AdamRG's Blog Alex.Davies's Blog AliceE's Blog Andrew Clarke's Blog Andrew Hunter's Blog Bart Read's Blog Ben Adderson's Blog BobCram's Blog bradmcgehee's Blog Brian Donahue's Blog Charles Brown's Blog Chris Massey's Blog CliveT's Blog Damon's Blog David Atkinson's Blog David Connell's Blog Dr Dionysus's Blog drsql's Blog FatherJack's Blog Flibble's Blog Gareth Marlow's Blog Helen Joyce's Blog James's Blog Jason Crease's Blog John Magnabosco's Blog Laila's Blog Lionel's Blog Matt Lee's Blog mikef's Blog Neil Davidson's Blog Nigel Morse's Blog Phil Factor's Blog red@work's Blog reka.burmeister's Blog Richard Mitchell's Blog RobbieT's Blog RobertChipperfield's Blog Rodney's Blog Roger Hart's Blog Simon Cooper's Blog Simon Galbraith's Blog TheFutureOfMonitoring's Blog Tim Ford's Blog Tom Crossman's Blog Tony Davis's Blog As well as these blogs, you also have the forums.... SQL Server for Beginners Forum Programming SQL Server Forum Administering SQL Server Forum .NET framework Forum .Windows Forms Forum ASP.NET Forum ADO.NET Forum

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On configuring GC 10.2.0.5 to monitor LISTENER SCAN using UDMs ...

- by [email protected]

Hi,Looks like Grid Control 10.2.0.5 is not fully prepared for monitoringthe Grid Infrastructure (11gR2).Even I'm pretty sure the upcoming version of GC (11g) will of course support all the new features of 11gR2, some customersare asking for some "hand-made" procedures for monitoring all the new stuff.I think one of the most critical components that cant be monitored are the LISTENER SCAN, so I have developed a little script for doing sousing the GC User Defined Metrics ( at host level )I am more than happy to share with you:#!/bin/ksh ### NAME### monitor_scan.sh###### DESCRIPTION### SCAN Listener monitoring###### RETURNS###### NOTES###### MODIFIED (DD/MM/YY)### Oracle 25/03/10 - Creation###export ORACLE_HOME=/opt/oracle/soft/11.2/gridRSC_KEY=$1AWK=/sbin/awk LISTENER_DOWN_COUNT=$(${ORACLE_HOME}/bin/crsctl status resource -w 'TYPE = ora.scan_listener.type' | grep OFFLINE | wc -l)if [ ${LISTENER_DOWN_COUNT} != 0 ]; then SCAN_DOWN_LIST=$(${ORACLE_HOME}/bin/crsctl status resource -w 'TYPE = ora.scan_listener.type' | $AWK \ 'BEGIN { FS="="; state = 0; } $1~/NAME/ && $2~/'$RSC_KEY'/ {appname = $2; state=1}; state == 0 {next;} $1~/TARGET/ && state == 1 {apptarget = $2; state=2;} $1~/STATE/ && state == 2 {appstate = $2; state=3;} state == 3 {printf "%-45s %-10s %-18s\n", appname, apptarget, appstate; state=0;}' | grep OFFLINE | awk '{ print $1 }') echo em_result=ALERT echo em_message=There are LISTENER SCAN with down status: [${SCAN_DOWN_LIST}]else echo em_result=NORMAL echo em_message=All SCAN Listener are UPfiHope it helpsL

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NoSQL with RavenDB and ASP.NET MVC - Part 2

- by shiju

In my previous post, we have discussed on how to work with RavenDB document database in an ASP.NET MVC application. We have setup RavenDB for our ASP.NET MVC application and did basic CRUD operations against a simple domain entity. In this post, let’s discuss on domain entity with deep object graph and how to query against RavenDB documents using Indexes.Let's create two domain entities for our demo ASP.NET MVC appplication public class Category { public string Id { get; set; } [Required(ErrorMessage = "Name Required")] [StringLength(25, ErrorMessage = "Must be less than 25 characters")] public string Name { get; set;} public string Description { get; set; } public List<Expense> Expenses { get; set; } public Category() { Expenses = new List<Expense>(); } } public class Expense { public string Id { get; set; } public Category Category { get; set; } public string Transaction { get; set; } public DateTime Date { get; set; } public double Amount { get; set; } } We have two domain entities - Category and Expense. A single category contains a list of expense transactions and every expense transaction should have a Category.Let's create ASP.NET MVC view model for Expense transaction public class ExpenseViewModel { public string Id { get; set; } public string CategoryId { get; set; } [Required(ErrorMessage = "Transaction Required")] public string Transaction { get; set; } [Required(ErrorMessage = "Date Required")] public DateTime Date { get; set; } [Required(ErrorMessage = "Amount Required")] public double Amount { get; set; } public IEnumerable<SelectListItem> Category { get; set; } } Let's create a contract type for Expense Repository public interface IExpenseRepository { Expense Load(string id); IEnumerable<Expense> GetExpenseTransactions(DateTime startDate,DateTime endDate); void Save(Expense expense,string categoryId); void Delete(string id); } Let's create a concrete type for Expense Repository for handling CRUD operations. public class ExpenseRepository : IExpenseRepository { private IDocumentSession session; public ExpenseRepository() { session = MvcApplication.CurrentSession; } public Expense Load(string id) { return session.Load<Expense>(id); } public IEnumerable<Expense> GetExpenseTransactions(DateTime startDate, DateTime endDate) { //Querying using the Index name "ExpenseTransactions" //filtering with dates var expenses = session.LuceneQuery<Expense>("ExpenseTransactions") .WaitForNonStaleResults() .Where(exp => exp.Date >= startDate && exp.Date <= endDate) .ToArray(); return expenses; } public void Save(Expense expense,string categoryId) { var category = session.Load<Category>(categoryId); if (string.IsNullOrEmpty(expense.Id)) { //new expense transaction expense.Category = category; session.Store(expense); } else { //modifying an existing expense transaction var expenseToEdit = Load(expense.Id); //Copy values to expenseToEdit ModelCopier.CopyModel(expense, expenseToEdit); //set category object expenseToEdit.Category = category; } //save changes session.SaveChanges(); } public void Delete(string id) { var expense = Load(id); session.Delete<Expense>(expense); session.SaveChanges(); } } Insert/Update Expense Transaction The Save method is used for both insert a new expense record and modifying an existing expense transaction. For a new expense transaction, we store the expense object with associated category into document session object and load the existing expense object and assign values to it for editing a existing record. public void Save(Expense expense,string categoryId) { var category = session.Load<Category>(categoryId); if (string.IsNullOrEmpty(expense.Id)) { //new expense transaction expense.Category = category; session.Store(expense); } else { //modifying an existing expense transaction var expenseToEdit = Load(expense.Id); //Copy values to expenseToEdit ModelCopier.CopyModel(expense, expenseToEdit); //set category object expenseToEdit.Category = category; } //save changes session.SaveChanges(); } Querying Expense transactions public IEnumerable<Expense> GetExpenseTransactions(DateTime startDate, DateTime endDate) { //Querying using the Index name "ExpenseTransactions" //filtering with dates var expenses = session.LuceneQuery<Expense>("ExpenseTransactions") .WaitForNonStaleResults() .Where(exp => exp.Date >= startDate && exp.Date <= endDate) .ToArray(); return expenses; } The GetExpenseTransactions method returns expense transactions using a LINQ query expression with a Date comparison filter. The Lucene Query is using a index named "ExpenseTransactions" for getting the result set. In RavenDB, Indexes are LINQ queries stored in the RavenDB server and would be executed on the background and will perform query against the JSON documents. Indexes will be working with a lucene query expression or a set operation. Indexes are composed using a Map and Reduce function. Check out Ayende's blog post on Map/Reduce We can create index using RavenDB web admin tool as well as programmitically using its Client API. The below shows the screen shot of creating index using web admin tool. We can also create Indexes using Raven Cleint API as shown in the following code documentStore.DatabaseCommands.PutIndex("ExpenseTransactions", new IndexDefinition<Expense,Expense>() { Map = Expenses => from exp in Expenses select new { exp.Date } }); In the Map function, we used a Linq expression as shown in the following from exp in docs.Expensesselect new { exp.Date };We have not used a Reduce function for the above index. A Reduce function is useful while performing aggregate functions based on the results from the Map function. Indexes can be use with set operations of RavenDB.SET OperationsUnlike other document databases, RavenDB supports set based operations that lets you to perform updates, deletes and inserts to the bulk_docs endpoint of RavenDB. For doing this, you just pass a query to a Index as shown in the following commandDELETE http://localhost:8080/bulk_docs/ExpenseTransactions?query=Date:20100531The above command using the Index named "ExpenseTransactions" for querying the documents with Date filter and will delete all the documents that match the query criteria. The above command is equivalent of the following queryDELETE FROM ExpensesWHERE Date='2010-05-31' Controller & ActionsWe have created Expense Repository class for performing CRUD operations for the Expense transactions. Let's create a controller class for handling expense transactions. public class ExpenseController : Controller { private ICategoryRepository categoyRepository; private IExpenseRepository expenseRepository; public ExpenseController(ICategoryRepository categoyRepository, IExpenseRepository expenseRepository) { this.categoyRepository = categoyRepository; this.expenseRepository = expenseRepository; } //Get Expense transactions based on dates public ActionResult Index(DateTime? StartDate, DateTime? EndDate) { //If date is not passed, take current month's first and last dte DateTime dtNow; dtNow = DateTime.Today; if (!StartDate.HasValue) { StartDate = new DateTime(dtNow.Year, dtNow.Month, 1); EndDate = StartDate.Value.AddMonths(1).AddDays(-1); } //take last date of startdate's month, if endate is not passed if (StartDate.HasValue && !EndDate.HasValue) { EndDate = (new DateTime(StartDate.Value.Year, StartDate.Value.Month, 1)).AddMonths(1).AddDays(-1); } var expenses = expenseRepository.GetExpenseTransactions(StartDate.Value, EndDate.Value); if (Request.IsAjaxRequest()) { return PartialView("ExpenseList", expenses); } ViewData.Add("StartDate", StartDate.Value.ToShortDateString()); ViewData.Add("EndDate", EndDate.Value.ToShortDateString()); return View(expenses); } // GET: /Expense/Edit public ActionResult Edit(string id) { var expenseModel = new ExpenseViewModel(); var expense = expenseRepository.Load(id); ModelCopier.CopyModel(expense, expenseModel); var categories = categoyRepository.GetCategories(); expenseModel.Category = categories.ToSelectListItems(expense.Category.Id.ToString()); return View("Save", expenseModel); } // // GET: /Expense/Create public ActionResult Create() { var expenseModel = new ExpenseViewModel(); var categories = categoyRepository.GetCategories(); expenseModel.Category = categories.ToSelectListItems("-1"); expenseModel.Date = DateTime.Today; return View("Save", expenseModel); } // // POST: /Expense/Save // Insert/Update Expense Tansaction [HttpPost] public ActionResult Save(ExpenseViewModel expenseViewModel) { try { if (!ModelState.IsValid) { var categories = categoyRepository.GetCategories(); expenseViewModel.Category = categories.ToSelectListItems(expenseViewModel.CategoryId); return View("Save", expenseViewModel); } var expense=new Expense(); ModelCopier.CopyModel(expenseViewModel, expense); expenseRepository.Save(expense, expenseViewModel.CategoryId); return RedirectToAction("Index"); } catch { return View(); } } //Delete a Expense Transaction public ActionResult Delete(string id) { expenseRepository.Delete(id); return RedirectToAction("Index"); } } Download the Source - You can download the source code from http://ravenmvc.codeplex.com

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Using a "white list" for extracting terms for Text Mining, Part 2

- by [email protected]

In my last post, we set the groundwork for extracting specific tokens from a white list using a CTXRULE index. In this post, we will populate a table with the extracted tokens and produce a case table suitable for clustering with Oracle Data Mining. Our corpus of documents will be stored in a database table that is defined as create table documents(id NUMBER, text VARCHAR2(4000)); However, any suitable Oracle Text-accepted data type can be used for the text. We then create a table to contain the extracted tokens. The id column contains the unique identifier (or case id) of the document. The token column contains the extracted token. Note that a given document many have many tokens, so there will be one row per token for a given document. create table extracted_tokens (id NUMBER, token VARCHAR2(4000)); The next step is to iterate over the documents and extract the matching tokens using the index and insert them into our token table. We use the MATCHES function for matching the query_string from my_thesaurus_rules with the text. DECLARE cursor c2 is select id, text from documents; BEGIN for r_c2 in c2 loop insert into extracted_tokens select r_c2.id id, main_term token from my_thesaurus_rules where matches(query_string, r_c2.text)>0; end loop; END; Now that we have the tokens, we can compute the term frequency - inverse document frequency (TF-IDF) for each token of each document. create table extracted_tokens_tfidf as with num_docs as (select count(distinct id) doc_cnt from extracted_tokens), tf as (select a.id, a.token, a.token_cnt/b.num_tokens token_freq from (select id, token, count(*) token_cnt from extracted_tokens group by id, token) a, (select id, count(*) num_tokens from extracted_tokens group by id) b where a.id=b.id), doc_freq as (select token, count(*) overall_token_cnt from extracted_tokens group by token) select tf.id, tf.token, token_freq * ln(doc_cnt/df.overall_token_cnt) tf_idf from num_docs, tf, doc_freq df where df.token=tf.token; From the WITH clause, the num_docs query simply counts the number of documents in the corpus. The tf query computes the term (token) frequency by computing the number of times each token appears in a document and divides that by the number of tokens found in the document. The doc_req query counts the number of times the token appears overall in the corpus. In the SELECT clause, we compute the tf_idf. Next, we create the nested table required to produce one record per case, where a case corresponds to an individual document. Here, we COLLECT all the tokens for a given document into the nested column extracted_tokens_tfidf_1. CREATE TABLE extracted_tokens_tfidf_nt NESTED TABLE extracted_tokens_tfidf_1 STORE AS extracted_tokens_tfidf_tab AS select id, cast(collect(DM_NESTED_NUMERICAL(token,tf_idf)) as DM_NESTED_NUMERICALS) extracted_tokens_tfidf_1 from extracted_tokens_tfidf group by id; To build the clustering model, we create a settings table and then insert the various settings. Most notable are the number of clusters (20), using cosine distance which is better for text, turning off auto data preparation since the values are ready for mining, the number of iterations (20) to get a better model, and the split criterion of size for clusters that are roughly balanced in number of cases assigned. CREATE TABLE km_settings (setting_name VARCHAR2(30), setting_value VARCHAR2(30)); BEGIN INSERT INTO km_settings (setting_name, setting_value) VALUES VALUES (dbms_data_mining.clus_num_clusters, 20); INSERT INTO km_settings (setting_name, setting_value) VALUES (dbms_data_mining.kmns_distance, dbms_data_mining.kmns_cosine); INSERT INTO km_settings (setting_name, setting_value) VALUES VALUES (dbms_data_mining.prep_auto,dbms_data_mining.prep_auto_off); INSERT INTO km_settings (setting_name, setting_value) VALUES VALUES (dbms_data_mining.kmns_iterations,20); INSERT INTO km_settings (setting_name, setting_value) VALUES VALUES (dbms_data_mining.kmns_split_criterion,dbms_data_mining.kmns_size); COMMIT; END; With this in place, we can now build the clustering model. BEGIN DBMS_DATA_MINING.CREATE_MODEL( model_name => 'TEXT_CLUSTERING_MODEL', mining_function => dbms_data_mining.clustering, data_table_name => 'extracted_tokens_tfidf_nt', case_id_column_name => 'id', settings_table_name => 'km_settings'); END;To generate cluster names from this model, check out my earlier post on that topic.

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ComboBox Control using silverlight

- by Aamir Hasan

DropDown.zip (135.33 kb) LiveDemo Introduction In this article i am going to explore some of the features of the ComboBox.ComboBox makes the collection visible and allows users to pick an item from the collection.After its first initialization, no matter if you bind a new datasource with fewer or more elements, the dropdown persists its original height.One workaround is the following:1. store the Properties from the original ComboBox2. delete the ComboBox removing it from its container3. create a new ComboBox and place it in the container4. recover the stores Properties5. bind the new DataSource to the newly created combobox Creating Silverlight ProjectCreate a new Silverlight 3 Project in VS 2008. Name it as ComboBoxtSample. Simple Data BindingAdd System.Windows.Control.Data reference to the Silverlight project. Silverlight UserControl Add a new page to display Bus data using DataGrid. Following shows Bus column XAML snippet:The ComboBox element represents a ComboBox control in XAML. <ComboBox></ComboBox>ComboBox XAML <StackPanel Orientation="Vertical"> <ComboBox Width="120" Height="30" x:Name="DaysDropDownList" DisplayMemberPath="Name">  </ComboBox> </StackPanel> The following code below is an example implementation Combobox control support data binding 1 By setting the DisplayMemberPath property you can specify which data item in your data you want displayed in the ComboBox. 2 Setting the SelectedIndex allows you to specify which item in the ComboBox you want selected. Business Object public class Bus { public string Name { get; set; } public float Price { get; set; } } Data Binding private List populatedlistBus() { listBus = new List(); listBus.Add(new Bus() {Name = "Bus 1", Price = 55f }); listBus.Add(new Bus() { Name = "Bus 2", Price = 55.7f }); listBus.Add(new Bus() { Name = "Bus 3", Price = 2f }); listBus.Add(new Bus() { Name = "Bus 4", Price = 6f }); listBus.Add(new Bus() { Name = "Bus 5", Price = 9F }); listBus.Add(new Bus() { Name = "Bus 6", Price = 10.1f }); return listBus; } The following line of code sets the ItemsSource property of a ComboBox. DaysDropDownList.ItemsSource = populatedlistBus(); Output I hope you enjoyed this simple Silverlight example Conclusion In this article, we saw how data binding works in ComboBox.You learnt how to work with the ComboBox control in Silverlight.

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DMV {dm_os_ring_buffers} - Queries to help pinpoint current Issues / usual usage patterns

- by NeilHambly

I'm been running some queries (below) to help me identify when I have had time-sensitive performance issues around Memory/CPU, I didn't want to load up additional overhead to the system (unless absolutely neccessary) using traces or profiler - naturally we have various methods to do this Perfmon counters, DBCC, DMVs etc.. One quick way I like is to run a few DMV queries (normally back in seconds) to help me find those RECENT specific time periods when the system has been substantially changed in some way using, this is using the DMV dm_os_ring_buffers This one helps me identify when I'm expericing Timeout Errors (1222).. modiy code to look for other error as highlight belowDECLARE @ts_now BIGINT,@dt_max BIGINT, @dt_min BIGINT SELECT @ts_now = cpu_ticks / CONVERT(FLOAT, cpu_ticks_in_ms) FROM sys.dm_os_sys_info SELECT @dt_max = MAX(timestamp), @dt_min = MIN(timestamp) FROM sys.dm_os_ring_buffers WHERE ring_buffer_type = N'RING_BUFFER_EXCEPTION' SELECT record_id ,DATEADD(ms, -1 * (@ts_now - [timestamp]), GETDATE()) AS EventTime ,y.Error ,UserDefined ,b.description as NormalizedText FROM ( SELECT record.value('(./Record/@id)[1]', 'int') AS record_id, record.value('(./Record/Exception/Error)[1]', 'int') AS Error, record.value('(./Record/Exception/UserDefined)[1]', 'int') AS UserDefined, TIMESTAMP FROM ( SELECT TIMESTAMP, CONVERT(XML, record) AS record FROM sys.dm_os_ring_buffers WHERE ring_buffer_type = N'RING_BUFFER_EXCEPTION' AND record LIKE '% %' ) AS x ) AS y INNER JOIN sys.sysmessages b on y.Error = b.error WHERE b.msglangid = 1033 and y.Error = 1222 ORDER BY record_id DESC Sample Output record_id EventTime Error UserDefined NormalizedText 15199195 18/03/2010 14:00 1222 0 Lock request time out period exceeded. 15199194 18/03/2010 14:00 1222 0 Lock request time out period exceeded. 15199193 18/03/2010 14:00 1222 0 Lock request time out period exceeded. 15199192 18/03/2010 14:00 1222 0 Lock request time out period exceeded. 15199191 18/03/2010 14:00 1222 0 Lock request time out period exceeded. This one helps me identify when I have Unusally High Processing (> 50%) or # Page-FaultsSELECT record.value('(./Record/@id)[1]', 'int') AS record_id,record.value('(./Record/SchedulerMonitorEvent/SystemHealth/SystemIdle)[1]', 'int') AS SystemIdle,record.value('(./Record/SchedulerMonitorEvent/SystemHealth/ProcessUtilization)[1]', 'int') AS SQLProcessUtilization,record.value('(./Record/SchedulerMonitorEvent/SystemHealth/UserModeTime)[1]', 'bigint') AS UserModeTime,record.value('(./Record/SchedulerMonitorEvent/SystemHealth/KernelModeTime)[1]', 'bigint') AS KernelModeTime,record.value('(./Record/SchedulerMonitorEvent/SystemHealth/PageFaults)[1]', 'bigint') AS PageFaults,record.value('(./Record/SchedulerMonitorEvent/SystemHealth/WorkingSetDelta)[1]', 'bigint') AS WorkingSetDelta,record.value('(./Record/SchedulerMonitorEvent/SystemHealth/MemoryUtilization)[1]', 'int') AS MemoryUtilization,TIMESTAMPFROM ( SELECT TIMESTAMP, CONVERT(XML, record) AS record FROM sys.dm_os_ring_buffers WHERE ring_buffer_type = N'RING_BUFFER_SCHEDULER_MONITOR' AND record LIKE '% %' ) AS x Example: Showing entries > 50% SQL CPU record_id SystemIdle SQLProcessUtilization UserModeTime KernelModeTime PageFaults WorkingSetDelta MemoryUtilization TIMESTAMP 111916 66 29 36718750 1374843750 21333 -40960 100 7991061289 111917 54 41 50156250 1954062500 26914 -28672 100 7991121290 111918 57 39 42968750 1838437500 30096 20480 100 7991181290 111919 41 53 43906250 2530156250 22088 -4096 100 7991241307 111920 48 45 40937500 2124062500 26395 8192 100 7991301310 111921 52 43 35625000 2052812500 21996 155648 100 7991361311 111922 40 55 36875000 2637343750 33355 -262144 100 7991421311 111923 36 58 44843750 2786562500 47019 28672 100 7991481311 111924 31 64 53437500 3046562500 31027 61440 100 7991541314 111925 36 57 43906250 2711250000 37074 -8192 100 7991601317 111926 52 43 43437500 2060156250 29176 20480 100 7991661318 111927 71 24 33750000 1141250000 14478 16384 100 7991721320 111928 71 23 34531250 1116250000 12711 -20480 100 7991781320 111929 53 36 46562500 1714062500 26684 200704 100 7991841323 Finally one to provide some understanding of the level of memory state changes that are ocuringSELECT record.value('(./Record/@id)[1]', 'int') AS 'record_id',record.value('(./Record/ResourceMonitor/Notification)[1]', 'VARCHAR(100)') AS 'ReservedMemory',record.value('(./Record/ResourceMonitor/Indicators)[1]', 'int') AS 'Indicators',record.value('(./Record/ResourceMonitor/Effect/@state)[1]', 'VARCHAR(100)') + ' - ' + record.value('(./Record/ResourceMonitor/Effect/@reversed)[1]', 'VARCHAR(100)') + ' - ' + record.value('(./Record/ResourceMonitor/Effect)[1]', 'VARCHAR(100)') AS 'APPLY-HIGHPM',record.value('(./Record/ResourceMonitor/Effect/@state)[2]', 'VARCHAR(100)') + ' - ' + record.value('(./Record/ResourceMonitor/Effect/@reversed)[2]', 'VARCHAR(100)') + ' - ' + record.value('(./Record/ResourceMonitor/Effect)[2]', 'VARCHAR(100)') AS 'APPLY-HIGHPM',record.value('(./Record/ResourceMonitor/Effect/@state)[3]', 'VARCHAR(100)') + ' - ' + record.value('(./Record/ResourceMonitor/Effect/@reversed)[3]', 'VARCHAR(100)') + ' - ' + record.value('(./Record/ResourceMonitor/Effect)[3]', 'VARCHAR(100)') AS 'REVERT_HIGHPM',record.value('(./Record/MemoryNode/ReservedMemory)[1]', 'int') AS 'ReservedMemory',record.value('(./Record/MemoryNode/CommittedMemory)[1]', 'int') AS 'CommittedMemory',record.value('(./Record/MemoryNode/SharedMemory)[1]', 'int') AS 'SharedMemory',record.value('(./Record/MemoryNode/AWEMemory)[1]', 'int') AS 'AWEMemory',record.value('(./Record/MemoryNode/SinglePagesMemory)[1]', 'int') AS 'SinglePagesMemory',record.value('(./Record/MemoryNode/CachedMemory)[1]', 'int') AS 'CachedMemory',record.value('(./Record/MemoryRecord/MemoryUtilization)[1]', 'int') AS 'MemoryUtilization',record.value('(./Record/MemoryRecord/TotalPhysicalMemory)[1]', 'int') AS 'TotalPhysicalMemory',record.value('(./Record/MemoryRecord/AvailablePhysicalMemory)[1]', 'int') AS 'AvailablePhysicalMemory',record.value('(./Record/MemoryRecord/TotalPageFile)[1]', 'int') AS 'TotalPageFile',record.value('(./Record/MemoryRecord/AvailablePageFile)[1]', 'int') AS 'AvailablePageFile',record.value('(./Record/MemoryRecord/TotalVirtualAddressSpace)[1]', 'bigint') AS 'TotalVirtualAddressSpace',record.value('(./Record/MemoryRecord/AvailableVirtualAddressSpace)[1]', 'bigint') AS 'AvailableVirtualAddressSpace',record.value('(./Record/MemoryRecord/AvailableExtendedVirtualAddressSpace)[1]', 'bigint') AS 'AvailableExtendedVirtualAddressSpace', TIMESTAMPFROM ( SELECT TIMESTAMP, CONVERT(XML, record) AS record FROM sys.dm_os_ring_buffers WHERE ring_buffer_type = N'RING_BUFFER_RESOURCE_MONITOR' AND record LIKE '% %' ) AS x

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How to work RavenDB Id with ASP.NET MVC Routes

- by shiju

By default RavenDB's Id would be sperated by "/". Let's say that we have a category object, the Ids would be like "categories/1". This will make problems when working with ASP.NET MVC's route rule. For a route category/edit/id, the uri would be category/edit/categories/1. You can solve this problem in two waysSolution 1 - Change Id SeparatorWe can use different Id Separator for RavenDB Ids in order to working with ASP.NET MVC route rules. The following code specify that Ids would be seperated by "-" rather than the default "/" documentStore = new DocumentStore { Url = "http://localhost:8080/" }; documentStore.Initialize(); documentStore.Conventions.IdentityPartsSeparator = "-"; The above IdentityPartsSeparator would be generate Ids like "categories-1"Solution 2 - Modify ASP.NET MVC Route Modify the ASP.NET MVC routes in the Global.asax.cs file, as shown in the following code routes.MapRoute( "WithParam", // Route name "{controller}/{action}/{*id}" // URL with parameters ); We just put "*" in front of the id variable that will be working with the default Id separator of RavenDB

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