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  • Process runs slower as a scheduled task than it does interactively

    - by Charlie
    I have a scheduled task which is very CPU- and IO-intensive, and takes about four hours to run (building source code, if you're curious). The task is a Powershell script which spawns various sub-processes to do its work. When I run the same process interactively from a Powershell prompt, as the same user account, it runs in about two and a half hours. The task is running on Windows Server 2008 R2. What I want to know is why it takes so much longer to run as a scheduled task - more than an hour longer. One thing I noticed is that the task scheduler runs at Below-Normal priority, so when my task starts, it inherits the same lowered priority. However, I've updated the script to set the Powershell process priority back to Normal, and it still takes just as long. Anybody have an idea what could be different between the two scenarios? I've ruled out differences in processor and IO load - this task is the only thing the system is used for, so there's nothing else running that could be competing for resources.

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  • MySQL is hogging my server resources

    - by Reacen
    Does anyone have any idea of what can cause this weird behaviour and how I go about fixing it? This is all coming from MySQL only (both RAM and CPU usage), for about 10 minutes after I reboot my Java game server (that has a pool of 256 connections). There are not that many queries and I think it may be more of a MySQL misconfiguration problem. My server: 3.20 GHz * 6 core / 24 GB RAM / 64 bit Windows Server 2003. My game server: Java server, with 256 MySQL connections pool (MyISAM engine), about 500,000 accounts, and 9 million rows of game items in database and about 3,000 players are connected. After about 15 minutes of the game server reboot, the server resumes its stability and CPU usage drop down to 1% ~ 5% and memory to 6 GB. Here is a copy of my MySQL configuration. Also, any advice about my MySQL configuration will be appreciated. I really set it up almost at random. # Example MySQL config file for very large systems. # # This is for a large system with memory of 1G-2G where the system runs mainly # MySQL. # # You can copy this file to # /etc/my.cnf to set global options, # mysql-data-dir/my.cnf to set server-specific options (in this # installation this directory is C:\mysql\data) or # ~/.my.cnf to set user-specific options. # # In this file, you can use all long options that a program supports. # If you want to know which options a program supports, run the program # with the "--help" option. # The following options will be passed to all MySQL clients [client] #password = your_password port = 3306 socket = /tmp/mysql.sock # Here follows entries for some specific programs # The MySQL server [mysqld] #log=c:\mysql.log port = 3306 socket = /tmp/mysql.sock skip-locking key_buffer_size = 2572M max_allowed_packet = 64M table_open_cache = 512 sort_buffer_size = 128M read_buffer_size = 128M read_rnd_buffer_size = 128M myisam_sort_buffer_size = 500M thread_cache_size = 32 query_cache_size = 1948M # Try number of CPU's*2 for thread_concurrency thread_concurrency = 12 max_connections = 5000 # Don't listen on a TCP/IP port at all. This can be a security enhancement, # if all processes that need to connect to mysqld run on the same host. # All interaction with mysqld must be made via Unix sockets or named pipes. # Note that using this option without enabling named pipes on Windows # (via the "enable-named-pipe" option) will render mysqld useless! # #skip-networking # Replication Master Server (default) # binary logging is required for replication log-bin=mysql-bin # required unique id between 1 and 2^32 - 1 # defaults to 1 if master-host is not set # but will not function as a master if omitted server-id = 1 # Replication Slave (comment out master section to use this) # # To configure this host as a replication slave, you can choose between # two methods : # # 1) Use the CHANGE MASTER TO command (fully described in our manual) - # the syntax is: # # CHANGE MASTER TO MASTER_HOST=<host>, MASTER_PORT=<port>, # MASTER_USER=<user>, MASTER_PASSWORD=<password> ; # # where you replace <host>, <user>, <password> by quoted strings and # <port> by the master's port number (3306 by default). # # Example: # # CHANGE MASTER TO MASTER_HOST='125.564.12.1', MASTER_PORT=3306, # MASTER_USER='joe', MASTER_PASSWORD='secret'; # # OR # # 2) Set the variables below. However, in case you choose this method, then # start replication for the first time (even unsuccessfully, for example # if you mistyped the password in master-password and the slave fails to # connect), the slave will create a master.info file, and any later # change in this file to the variables' values below will be ignored and # overridden by the content of the master.info file, unless you shutdown # the slave server, delete master.info and restart the slaver server. # For that reason, you may want to leave the lines below untouched # (commented) and instead use CHANGE MASTER TO (see above) # # required unique id between 2 and 2^32 - 1 # (and different from the master) # defaults to 2 if master-host is set # but will not function as a slave if omitted #server-id = 2 # # The replication master for this slave - required #master-host = <hostname> # # The username the slave will use for authentication when connecting # to the master - required #master-user = <username> # # The password the slave will authenticate with when connecting to # the master - required #master-password = <password> # # The port the master is listening on. # optional - defaults to 3306 #master-port = <port> # # binary logging - not required for slaves, but recommended #log-bin=mysql-bin # # binary logging format - mixed recommended #binlog_format=mixed # Point the following paths to different dedicated disks #tmpdir = /tmp/ #log-update = /path-to-dedicated-directory/hostname # Uncomment the following if you are using InnoDB tables #innodb_data_home_dir = C:\mysql\data/ #innodb_data_file_path = ibdata1:2000M;ibdata2:10M:autoextend #innodb_log_group_home_dir = C:\mysql\data/ # You can set .._buffer_pool_size up to 50 - 80 % # of RAM but beware of setting memory usage too high #innodb_buffer_pool_size = 384M #innodb_additional_mem_pool_size = 20M # Set .._log_file_size to 25 % of buffer pool size #innodb_log_file_size = 100M #innodb_log_buffer_size = 8M #innodb_flush_log_at_trx_commit = 1 #innodb_lock_wait_timeout = 50 [mysqldump] quick max_allowed_packet = 64M [mysql] no-auto-rehash # Remove the next comment character if you are not familiar with SQL #safe-updates [myisamchk] key_buffer_size = 256M sort_buffer_size = 256M read_buffer = 8M write_buffer = 8M [mysqlhotcopy] interactive-timeout

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  • IPCop server slows down download speed

    - by noocyte
    I have an IPCop server running at home, been doing just fine for ~5 months, but last week I suddenly started getting time-outs and slow downloads from the 'net. I first thought that this was my ISP acting up, then I thought it might be one of my 3 switches or some of my cabling. In due order I've tested everything above and found them all to be working as they should. The only factor remaining is my IPCop server. Facts: I've got a 15/15 Mbit line (fiber) and I get ~15 Mbit upload, but only 0.5 Mbit download with the IPCop box as router (ISP router set in bridge mode). If I connect without the IPCop box (using the ISP router) I get ~12 Mbit upload and ~15 Mbit download. The load on the IPCop box appears to be light and it used to handle this traffic just fine 2 weeks ago. The memory usage is ~60%, I tried to restart it and test again, the memory fell to ~50% then (5 months of uptime). I'm thinking that one of my nics are busted, but I'm sort of perplexed that this could be the outcome; slow download but full speed upload. Anybody ever seen that happening before? Could it just be one of the nics that needs to be replaced? Will try that as soon as I can get my hands on a couple of new ones.

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  • SSD for Visual studio : Intel X25-m G2 or OCZ Vertex

    - by meska
    hi, looking for laptop upgrade, and thinking about SSD drive. Laptop would be Dell Studio XPS with T9400 as i can get one for a very good price. So i was thinking about replacing the built in 500 GB hdd with some kind of SDD Currently two choices: OCZ Vertex Series 60 GB vs. Intel X25-M G2 MLC 80 GB Price is almost the same. From anandtech Intel performs badly in sequential write, but scores very high numbers in random write and random read (good for visual studio?) and i get more space. What do you think? OCZ Vertex or Intel X25-M G2 ? Purely from Visual Studio 2008 and upcoming 2010 perspective?

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  • Running perfmon continuously with periodic reports

    - by Sal
    I have a question very similar to this one, but I want to continuously run perfmon, during reboots and throughout the day. Further, I'd like to generate a perfmon report every 10 mins or so. The original question tells me how to run perfmon when the server is restarted, but I don't know how to make perfmon continuously run while throwing periodic files. I've tried setting it as a scheduled task that needs to be done every 10 mins, but this is too sloppy, and when the scheduled task kicks another instance, the current perfmon report writer crashes, and I get a garbage report. I've also tried writing a sloppy batch script that would fire off the task at scheduled intervals, but this is the same problem as the scheduled task. I'm sure I'm just missing something silly, but I don't see it. Ideas? (If it helps, I'm running Windows 7 locally, and I'm trying to set up the processes for boxes running Windows 2008.)

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  • Running perfmon continuously with periodic files

    - by Sal
    I have a question very similar to this one, but I want to continuously run perfmon, during reboots and throughout the day. Further, I'd like to generate a perfmon report every 10 mins or so. The original question tells me how to run perfmon when the server is restarted, but I don't know how to make perfmon continuously run while throwing periodic files. I've tried setting it as a scheduled task that needs to be done every 10 mins, but this is too sloppy, and when the scheduled task kicks another instance, the current perfmon report writer crashes, and I get a garbage report. I've also tried writing a sloppy batch script that would fire off the task at scheduled intervals, but this is the same problem as the scheduled task. I'm sure I'm just missing something silly, but I don't see it. Ideas? (If it helps, I'm running Windows 7 locally, and I'm trying to set up the processes for boxes running Windows 2008.)

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  • COM+/Desktop Heap errors in IIS affecting sites at random?

    - by tresstylez
    We have a Win2K3 server that is hosting 30+ sites. Each site is configured to have its own unique application pool -- so that we can manually recycle specific sites if needed and not kill sessions for the others. From what I've read, the consequence of this type of setup is that each application pool worker process gets allocated a Desktop Heap (normally 512 kb's) and we limit the number of app pools we can serve. http://blogs.msdn.com/b/david.wang/archive/2006/01/25/security-considerations-of-usesharedwpdesktop-on-iis6.aspx PROBLEM: What we're seeing is that occasionally COM+ errors get triggered, presumably by hitting our 512 kb limit of the desktop heap -- and certain sites become unresponsive (or have errors) until we manually recycle that specific app pool. I know that I can increase the desktop heap limit to 1024, and make other tweaks/tunes, but I've been tasked with finding out what exactly causes one site's heap to max out as opposed to another. It seems that when we start seeing COM+ errors, the sites it affects are random -- small sites or big sites (heavier used). Is it based on process id? Traffic? Any pointers on understanding this a little more would be excellent. Thanks! jg

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  • Best Practices - updated: which domain types should be used to run applications

    - by jsavit
    This post is one of a series of "best practices" notes for Oracle VM Server for SPARC (formerly named Logical Domains). This is an updated and enlarged version of the post on this topic originally posted October 2012. One frequent question "what type of domain should I use to run applications?" There used to be a simple answer: "run applications in guest domains in almost all cases", but now there are more things to consider. Enhancements to Oracle VM Server for SPARC and introduction of systems like the current SPARC servers including the T4 and T5 systems, the Oracle SuperCluster T5-8 and Oracle SuperCluster M6-32 provide scale and performance much higher than the original servers that ran domains. Single-CPU performance, I/O capacity, memory sizes, are much larger now, and far more demanding applications are now being hosted in logical domains. The general advice continues to be "use guest domains in almost all cases", meaning, "use virtual I/O rather than physical I/O", unless there is a specific reason to use the other domain types. The sections below will discuss the criteria for choosing between domain types. Review: division of labor and types of domain Oracle VM Server for SPARC offloads management and I/O functionality from the hypervisor to domains (also called virtual machines), providing a modern alternative to older VM architectures that use a "thick", monolithic hypervisor. This permits a simpler hypervisor design, which enhances reliability, and security. It also reduces single points of failure by assigning responsibilities to multiple system components, further improving reliability and security. Oracle VM Server for SPARC defines the following types of domain, each with their own roles: Control domain - management control point for the server, runs the logical domain daemon and constraints engine, and is used to configure domains and manage resources. The control domain is the first domain to boot on a power-up, is always an I/O domain, and is usually a service domain as well. It doesn't have to be, but there's no reason to not leverage it for virtual I/O services. There is one control domain per T-series system, and one per Physical Domain (PDom) on an M5-32 or M6-32 system. M5 and M6 systems can be physically domained, with logical domains within the physical ones. I/O domain - a domain that has been assigned physical I/O devices. The devices may be one more more PCIe root complexes (in which case the domain is also called a root complex domain). The domain has native access to all the devices on the assigned PCIe buses. The devices can be any device type supported by Solaris on the hardware platform. a SR-IOV (Single-Root I/O Virtualization) function. SR-IOV lets a physical device (also called a physical function) or PF) be subdivided into multiple virtual functions (VFs) which can be individually assigned directly to domains. SR-IOV devices currently can be Ethernet or InfiniBand devices. direct I/O ownership of one or more PCI devices residing in a PCIe bus slot. The domain has direct access to the individual devices An I/O domain has native performance and functionality for the devices it owns, unmediated by any virtualization layer. It may also have virtual devices. Service domain - a domain that provides virtual network and disk devices to guest domains. The services are defined by commands that are run in the control domain. It usually is an I/O domain as well, in order for it to have devices to virtualize and serve out. Guest domain - a domain whose devices are all virtual rather than physical: virtual network and disk devices provided by one or more service domains. In common practice, this is where applications are run. Device considerations Consider the following when choosing between virtual devices and physical devices: Virtual devices provide the best flexibility - they can be dynamically added to and removed from a running domain, and you can have a large number of them up to a per-domain device limit. Virtual devices are compatible with live migration - domains that exclusively have virtual devices can be live migrated between servers supporting domains. On the other hand: Physical devices provide the best performance - in fact, native "bare metal" performance. Virtual devices approach physical device throughput and latency, especially with virtual network devices that can now saturate 10GbE links, but physical devices are still faster. Physical I/O devices do not add load to service domains - all the I/O goes directly from the I/O domain to the device, while virtual I/O goes through service domains, which must be provided sufficient CPU and memory capacity. Physical I/O devices can be other than network and disk - we virtualize network, disk, and serial console, but physical devices can be the wide range of attachable certified devices, including things like tape and CDROM/DVD devices. In some cases the lines are now blurred: virtual devices have better performance than previously: starting with Oracle VM Server for SPARC 3.1 there is near-native virtual network performance. There is more flexibility with physical devices than before: SR-IOV devices can now be dynamically reconfigured on domains. Tradeoffs one used to have to make are now relaxed: you can often have the flexibility of virtual I/O with performance that previously required physical I/O. You can have the performance and isolation of SR-IOV with the ability to dynamically reconfigure it, just like with virtual devices. Typical deployment A service domain is generally also an I/O domain: otherwise it wouldn't have access to physical device "backends" to offer to its clients. Similarly, an I/O domain is also typically a service domain in order to leverage the available PCI buses. Control domains must be I/O domains, because they boot up first on the server and require physical I/O. It's typical for the control domain to also be a service domain too so it doesn't "waste" the I/O resources it uses. A simple configuration consists of a control domain that is also the one I/O and service domain, and some number of guest domains using virtual I/O. In production, customers typically use multiple domains with I/O and service roles to eliminate single points of failure, as described in Availability Best Practices - Avoiding Single Points of Failure . Guest domains have virtual disk and virtual devices provisioned from more than one service domain, so failure of a service domain or I/O path or device does not result in an application outage. This also permits "rolling upgrades" in which service domains are upgraded one at a time while their guests continue to operate without disruption. (It should be noted that resiliency to I/O device failures can also be provided by the single control domain, using multi-path I/O) In this type of deployment, control, I/O, and service domains are used for virtualization infrastructure, while applications run in guest domains. Changing application deployment patterns The above model has been widely and successfully used, but more configuration options are available now. Servers got bigger than the original T2000 class machines with 2 I/O buses, so there is more I/O capacity that can be used for applications. Increased server capacity made it attractive to run more vertically-scaled applications, such as databases, with higher resource requirements than the "light" applications originally seen. This made it attractive to run applications in I/O domains so they could get bare-metal native I/O performance. This is leveraged by the Oracle SuperCluster engineered systems mentioned previously. In those engineered systems, I/O domains are used for high performance applications with native I/O performance for disk and network and optimized access to the Infiniband fabric. Another technical enhancement is Single Root I/O Virtualization (SR-IOV), which make it possible to give domains direct connections and native I/O performance for selected I/O devices. Not all I/O domains own PCI complexes, and there are increasingly more I/O domains that are not service domains. They use their I/O connectivity for performance for their own applications. However, there are some limitations and considerations: at this time, a domain using physical I/O cannot be live-migrated to another server. There is also a need to plan for security and introducing unneeded dependencies: if an I/O domain is also a service domain providing virtual I/O to guests, it has the ability to affect the correct operation of its client guest domains. This is even more relevant for the control domain. where the ldm command must be protected from unauthorized (or even mistaken) use that would affect other domains. As a general rule, running applications in the service domain or the control domain should be avoided. For reference, an excellent guide to secure deployment of domains by Stefan Hinker is at Secure Deployment of Oracle VM Server for SPARC. To recap: Guest domains with virtual I/O still provide the greatest operational flexibility, including features like live migration. They should be considered the default domain type to use unless there is a specific requirement that mandates an I/O domain. I/O domains can be used for applications with the highest performance requirements. Single Root I/O Virtualization (SR-IOV) makes this more attractive by giving direct I/O access to more domains, and by permitting dynamic reconfiguration of SR-IOV devices. Today's larger systems provide multiple PCIe buses - for example, 16 buses on the T5-8 - making it possible to configure multiple I/O domains each owning their own bus. Service domains should in general not be used for applications, because compromised security in the domain, or an outage, can affect domains that depend on it. This concern can be mitigated by providing guests' their virtual I/O from more than one service domain, so interruption of service in one service domain does not cause an application outage. The control domain should in general not be used to run applications, for the same reason. Oracle SuperCluster uses the control domain for applications, but it is an exception. It's not a general purpose environment; it's an engineered system with specifically configured applications and optimization for optimal performance. These are recommended "best practices" based on conversations with a number of Oracle architects. Keep in mind that "one size does not fit all", so you should evaluate these practices in the context of your own requirements. Summary Higher capacity servers that run Oracle VM Server for SPARC are attractive for applications with the most demanding resource requirements. New deployment models permit native I/O performance for demanding applications by running them in I/O domains with direct access to their devices. This is leveraged in SPARC SuperCluster, and can be leveraged in T-series servers to provision high-performance applications running in domains. Carefully planned, this can be used to provide peak performance for critical applications. That said, the improved virtual device performance in Oracle VM Server means that the default choice should still be guest domains with virtual I/O.

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  • How do I calculate the amount of tuning needed for my server ?

    - by Low Kian Seong
    I have a server which is running a few discrete Python, Java application which most of the time imports data into a PostGreSQL database. I would like to know from people out there who have experience tuning enterprise grade servers how do i go about calculating in a holistic way the amount of tuning needed for my server for example vm.swappiness, vm.overcommit_ratio and other numerical tunings needed for my server. I tried to enable sar on my server to capture daily numbers but these are more along the lines of total numbers and I can't figure out how to allocate memory for my applications. Help would be appreciated. Thanks.

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  • Dedicated NIC or dedicated port for iSCSI?

    - by Newt
    When spec'ing and configuring a machine that will utilise shared iSCSI storage, I've read a lot of documentation which suggests a dedicated network adapter should be used for iSCSI communication. That makes a lot of sense and I have no problem with it. The question I do have, is this - should that suggestion be taken to mean that a separate physical NIC should be used, or will a dedicated port/ports on a dual/quad port NIC be just as good? My suspicion is that simply using dedicated port(s) on a shared NIC would be just as good. Any input greatly appreciated.

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  • Fastest SFTP client

    - by Stan
    Protocol: SFTP (port 22) I've tested CuteFtp, FileZilla, SecureCRT and several others. Looks like CuteFTP has the best throughput, usually 200%-400% than others. I've read something about SecureFtp may have slower rate from here. Can anyone explain why CuteFtp has better throughput? And, is there any other FTP client even faster than CuteFtp? Thanks a lot!

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  • SPARC T4-4 Beats 8-CPU IBM POWER7 on TPC-H @3000GB Benchmark

    - by Brian
    Oracle's SPARC T4-4 server delivered a world record TPC-H @3000GB benchmark result for systems with four processors. This result beats eight processor results from IBM (POWER7) and HP (x86). The SPARC T4-4 server also delivered better performance per core than these eight processor systems from IBM and HP. Comparisons below are based upon system to system comparisons, highlighting Oracle's complete software and hardware solution. This database world record result used Oracle's Sun Storage 2540-M2 arrays (rotating disk) connected to a SPARC T4-4 server running Oracle Solaris 11 and Oracle Database 11g Release 2 demonstrating the power of Oracle's integrated hardware and software solution. The SPARC T4-4 server based configuration achieved a TPC-H scale factor 3000 world record for four processor systems of 205,792 QphH@3000GB with price/performance of $4.10/QphH@3000GB. The SPARC T4-4 server with four SPARC T4 processors (total of 32 cores) is 7% faster than the IBM Power 780 server with eight POWER7 processors (total of 32 cores) on the TPC-H @3000GB benchmark. The SPARC T4-4 server is 36% better in price performance compared to the IBM Power 780 server on the TPC-H @3000GB Benchmark. The SPARC T4-4 server is 29% faster than the IBM Power 780 for data loading. The SPARC T4-4 server is up to 3.4 times faster than the IBM Power 780 server for the Refresh Function. The SPARC T4-4 server with four SPARC T4 processors is 27% faster than the HP ProLiant DL980 G7 server with eight x86 processors on the TPC-H @3000GB benchmark. The SPARC T4-4 server is 52% faster than the HP ProLiant DL980 G7 server for data loading. The SPARC T4-4 server is up to 3.2 times faster than the HP ProLiant DL980 G7 for the Refresh Function. The SPARC T4-4 server achieved a peak IO rate from the Oracle database of 17 GB/sec. This rate was independent of the storage used, as demonstrated by the TPC-H @3000TB benchmark which used twelve Sun Storage 2540-M2 arrays (rotating disk) and the TPC-H @1000TB benchmark which used four Sun Storage F5100 Flash Array devices (flash storage). [*] The SPARC T4-4 server showed linear scaling from TPC-H @1000GB to TPC-H @3000GB. This demonstrates that the SPARC T4-4 server can handle the increasingly larger databases required of DSS systems. [*] The SPARC T4-4 server benchmark results demonstrate a complete solution of building Decision Support Systems including data loading, business questions and refreshing data. Each phase usually has a time constraint and the SPARC T4-4 server shows superior performance during each phase. [*] The TPC believes that comparisons of results published with different scale factors are misleading and discourages such comparisons. Performance Landscape The table lists the leading TPC-H @3000GB results for non-clustered systems. TPC-H @3000GB, Non-Clustered Systems System Processor P/C/T – Memory Composite(QphH) $/perf($/QphH) Power(QppH) Throughput(QthH) Database Available SPARC Enterprise M9000 3.0 GHz SPARC64 VII+ 64/256/256 – 1024 GB 386,478.3 $18.19 316,835.8 471,428.6 Oracle 11g R2 09/22/11 SPARC T4-4 3.0 GHz SPARC T4 4/32/256 – 1024 GB 205,792.0 $4.10 190,325.1 222,515.9 Oracle 11g R2 05/31/12 SPARC Enterprise M9000 2.88 GHz SPARC64 VII 32/128/256 – 512 GB 198,907.5 $15.27 182,350.7 216,967.7 Oracle 11g R2 12/09/10 IBM Power 780 4.1 GHz POWER7 8/32/128 – 1024 GB 192,001.1 $6.37 210,368.4 175,237.4 Sybase 15.4 11/30/11 HP ProLiant DL980 G7 2.27 GHz Intel Xeon X7560 8/64/128 – 512 GB 162,601.7 $2.68 185,297.7 142,685.6 SQL Server 2008 10/13/10 P/C/T = Processors, Cores, Threads QphH = the Composite Metric (bigger is better) $/QphH = the Price/Performance metric in USD (smaller is better) QppH = the Power Numerical Quantity QthH = the Throughput Numerical Quantity The following table lists data load times and refresh function times during the power run. TPC-H @3000GB, Non-Clustered Systems Database Load & Database Refresh System Processor Data Loading(h:m:s) T4Advan RF1(sec) T4Advan RF2(sec) T4Advan SPARC T4-4 3.0 GHz SPARC T4 04:08:29 1.0x 67.1 1.0x 39.5 1.0x IBM Power 780 4.1 GHz POWER7 05:51:50 1.5x 147.3 2.2x 133.2 3.4x HP ProLiant DL980 G7 2.27 GHz Intel Xeon X7560 08:35:17 2.1x 173.0 2.6x 126.3 3.2x Data Loading = database load time RF1 = power test first refresh transaction RF2 = power test second refresh transaction T4 Advan = the ratio of time to T4 time Complete benchmark results found at the TPC benchmark website http://www.tpc.org. Configuration Summary and Results Hardware Configuration: SPARC T4-4 server 4 x SPARC T4 3.0 GHz processors (total of 32 cores, 128 threads) 1024 GB memory 8 x internal SAS (8 x 300 GB) disk drives External Storage: 12 x Sun Storage 2540-M2 array storage, each with 12 x 15K RPM 300 GB drives, 2 controllers, 2 GB cache Software Configuration: Oracle Solaris 11 11/11 Oracle Database 11g Release 2 Enterprise Edition Audited Results: Database Size: 3000 GB (Scale Factor 3000) TPC-H Composite: 205,792.0 QphH@3000GB Price/performance: $4.10/QphH@3000GB Available: 05/31/2012 Total 3 year Cost: $843,656 TPC-H Power: 190,325.1 TPC-H Throughput: 222,515.9 Database Load Time: 4:08:29 Benchmark Description The TPC-H benchmark is a performance benchmark established by the Transaction Processing Council (TPC) to demonstrate Data Warehousing/Decision Support Systems (DSS). TPC-H measurements are produced for customers to evaluate the performance of various DSS systems. These queries and updates are executed against a standard database under controlled conditions. Performance projections and comparisons between different TPC-H Database sizes (100GB, 300GB, 1000GB, 3000GB, 10000GB, 30000GB and 100000GB) are not allowed by the TPC. TPC-H is a data warehousing-oriented, non-industry-specific benchmark that consists of a large number of complex queries typical of decision support applications. It also includes some insert and delete activity that is intended to simulate loading and purging data from a warehouse. TPC-H measures the combined performance of a particular database manager on a specific computer system. The main performance metric reported by TPC-H is called the TPC-H Composite Query-per-Hour Performance Metric (QphH@SF, where SF is the number of GB of raw data, referred to as the scale factor). QphH@SF is intended to summarize the ability of the system to process queries in both single and multiple user modes. The benchmark requires reporting of price/performance, which is the ratio of the total HW/SW cost plus 3 years maintenance to the QphH. A secondary metric is the storage efficiency, which is the ratio of total configured disk space in GB to the scale factor. Key Points and Best Practices Twelve Sun Storage 2540-M2 arrays were used for the benchmark. Each Sun Storage 2540-M2 array contains 12 15K RPM drives and is connected to a single dual port 8Gb FC HBA using 2 ports. Each Sun Storage 2540-M2 array showed 1.5 GB/sec for sequential read operations and showed linear scaling, achieving 18 GB/sec with twelve Sun Storage 2540-M2 arrays. These were stand alone IO tests. The peak IO rate measured from the Oracle database was 17 GB/sec. Oracle Solaris 11 11/11 required very little system tuning. Some vendors try to make the point that storage ratios are of customer concern. However, storage ratio size has more to do with disk layout and the increasing capacities of disks – so this is not an important metric in which to compare systems. The SPARC T4-4 server and Oracle Solaris efficiently managed the system load of over one thousand Oracle Database parallel processes. Six Sun Storage 2540-M2 arrays were mirrored to another six Sun Storage 2540-M2 arrays on which all of the Oracle database files were placed. IO performance was high and balanced across all the arrays. The TPC-H Refresh Function (RF) simulates periodical refresh portion of Data Warehouse by adding new sales and deleting old sales data. Parallel DML (parallel insert and delete in this case) and database log performance are a key for this function and the SPARC T4-4 server outperformed both the IBM POWER7 server and HP ProLiant DL980 G7 server. (See the RF columns above.) See Also Transaction Processing Performance Council (TPC) Home Page Ideas International Benchmark Page SPARC T4-4 Server oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Sun Storage 2540-M2 Array oracle.com OTN Disclosure Statement TPC-H, QphH, $/QphH are trademarks of Transaction Processing Performance Council (TPC). For more information, see www.tpc.org. SPARC T4-4 205,792.0 QphH@3000GB, $4.10/QphH@3000GB, available 5/31/12, 4 processors, 32 cores, 256 threads; IBM Power 780 QphH@3000GB, 192,001.1 QphH@3000GB, $6.37/QphH@3000GB, available 11/30/11, 8 processors, 32 cores, 128 threads; HP ProLiant DL980 G7 162,601.7 QphH@3000GB, $2.68/QphH@3000GB available 10/13/10, 8 processors, 64 cores, 128 threads.

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  • Computer specs for a large database

    - by SpeksETC
    What sort of computer specs (CPU, RAM, disk speed) should I use for running queries on a database of 200+ million records? The queries are for a research project, so there is only one "user" and only one query will be running at a time. I tried it on my own laptop with SQL Server with an i3 processor, 2GB RAM, 5400 RPM disk and a simple query didn't finish even after 8+ hours. I have an option to connect a SSD via eSata and upgrade to 4GB RAM, but not sure if this will be enough... Thanks! Edit: The database is about 25 GB and the indexes are not setup properly. When I tried to add an index, I let it run for about 8 hours and it still hadn't finished so I gave up. Should I have more patience :)? In general, the queries will run once in a while and its ok even if it takes a couple hours to complete.... Also, the queries will produce probably about 10 million records which I need to process using Stata/Matlab and I'm concerned that my current laptop is not strong enough, but unsure of the bottleneck....

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  • Cleaning up temp files in Mac OS X

    - by deddebme
    I was a Windows person for more than 10 years. Around 4 months ago, I switched to Mac, and I have never looked back. But there is one thing that bothers me, which is my Mac partition volume is losing space slowly and gradually. I am pretty sure there are a lot of orphaned temporary files laying around in the volume. I know where to find the obsoleted temp files in my Windows partition, how about in Mac OSX?

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  • How to use most of memory available on MySQL

    - by Zilvinas
    I've got a MySQL server which has both InnoDB and MyISAM tables. InnoDB tablespace is quite small under 4 GB. MyISAM is big ~250 GB in total of which 50 GB is for indexes. Our server has 32 GB of RAM but it usually uses only ~8GB. Our key_buffer_size is only 2GB. But our key cache hit ratio is ~95%. I find it hard to believe.. Here's our key statistics: | Key_blocks_not_flushed | 1868 | | Key_blocks_unused | 109806 | | Key_blocks_used | 1714736 | | Key_read_requests | 19224818713 | | Key_reads | 60742294 | | Key_write_requests | 1607946768 | | Key_writes | 64788819 | key_cache_block_size is default at 1024. We have 52 GB's of index data and 2GB key cache is enough to get a 95% hit ratio. Is that possible? On the other side data set is 200GB and since MyISAM uses OS (Centos) caching I would expect it to use a lot more memory to cache accessed myisam data. But at this stage I see that key_buffer is completely used, our buffer pool size for innodb is 4gb and is also completely used that adds up to 6GB. Which means data is cached using just 1 GB? My question is how could I check where all the free memory could be used? How could I check if MyISAM hits OS cache for data reads instead of disk?

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  • Why does max-width behave counter intuitively on columns in a table? [migrated]

    - by Nate
    Basically, I have a stretchy table, I want my label column to be fixed width and my data column to be dynamically sized. My inclination would be to set the max-width via CSS on my label column. However, this has the opposite effect. I've created a jsfiddle that replicates this. (Re-size the window to see the left column dynamically sized and the right column fixed size) On my own site, I see the same behavior and it happens in IE and Chrome. If I switch it, and set max-width on the data column, everything behaves as I want, but it feels backwards to me. Am I doing something wrong here?

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  • Just to not to be ignorant.

    - by atch
    Could anyone explain to me why is it that producers of processors claim that their processor can perform so many thousands (or millions) operations per second and yet typical program (Word, VS etc.) on my machine with 4GB, 3500hz starts with no less than 10 sec. Have to mention that I've just formatted disk and tick any necessary boxes to optimize my machine. So if for example outlook starts in 10 sec I wonder how many millions of operations have to be performed to run such program? Thanks

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  • Is Splitting IDE hdds between Primary and Secondary faster?

    - by earlz
    Hello, I'm doing RAID 0 on two IDE harddrives (yes, this is old hardware). Will the harddrives be faster if I attach them separately so that one is on the Primary IDE controller and the other is on the Secondary IDE controller? Or would it just be as good as having them both on the Primary IDE as master and slave?

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  • TIME_WAIT connections not being cleaned up after timeout period expires

    - by Mark Dawson
    I am stress testing one of my servers by hitting it with a constant stream of new network connections, the tcp_fin_timeout is set to 60, so if I send a constant stream of something like 100 requests per second, I would expect to see a rolling average of 6000 (60 * 100) connections in a TIME_WAIT state, this is happening, but looking in netstat (using -o) to see the timers, I see connections like: TIME_WAIT timewait (0.00/0/0) where their timeout has expired but the connection is still hanging around, I then eventually run out of connections. Anyone know why these connections don't get cleaned up? If I stop creating new connections they do eventually disappear but while I am constantly creating new connections they don't, seems like the kernel isn't getting chance to clean them up? Is there some other config options I need to set to remove the connections as soon as they have expired? The server is running Ubuntu and my web server is nginx. Also it has iptables with connection tracking, not sure if that would cause these TIME_WAIT connections to live on. Thanks Mark.

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  • How to speed up a HP M9517C

    - by Jen
    I bought a system with 8GB RAM, 1TB HD, Quad-Core AMD Phenom 9550, Nvidia Geforce 9300GE, 64-bit Windows Vista Machine. Bought it primarily because it was cheap and came with 25.5 inch screen. Problem: It's slow - if you can believe it. My Dell laptop 1525 is faster and more stable! I tried installing and dual-booting Linux Mint and ran into video and audio troubles. I need fast and stable and I'm going for awesome. Anyone have some suggestions on making this thing smoking hot? Vista is fine, but slows over time - suspect virus/spyware/etc.. But I need to use Photoshop, Fireworks, Dreamweaver, Illustrator. I've tried the alternatives and I just don't like them. When you've got deadlines looming you want to work with what you know. Also use Skype (and I had audio problems with it in Linux), gotomeeting, gotowebinar. Don't need MS Office. Tried VMWare, Virtualbox and again - I keep getting audio/video problems. I'd love someone's input on THEIR setup and how they got there. I'm sure I need to upgrade my video card, but what should I go to?

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