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• zlib memory usage / performance. With 500kb of data.

  - by unixman83

  Is zLib Worth it? Are there other better suited compressors? I am using an embedded system. Frequently, I have only 3MB of RAM or less available to my application. So I am considering using zlib to compress my buffers. I am concerned about overhead however. The buffer's average size will be 30kb. This probably won't get compressed by zlib. Anyone know of a good compressor for extremely limited memory environments? However, I will experience occasional maximum buffer sizes of 700kb, with 500kb much more common. Is zlib worth it in this case? Or is the overhead too much to justify? My sole considerations for compression are RAM overhead of algorithm and performance at least as good as zlib.

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• ASP.NET Web App to compare performance on different hardware?

  - by Guy

  I'm looking for an open source C# ASP.NET Web App that can be loaded onto 2 or more dedicated servers and provide me with metrics on how that server is performing. E.g. Click on a page and the app does a number of in-memory iterations and/or calculations to test processor throughput. Another page would do a bunch of disk access and report on that. I could put one together myself but there might already be something out there with a whole ton of tools in it to do this. I would imagine that I'm not the first one that would want to compare two machines for use as a web server.

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• transform:translateX vs transition on left property. Which has better performance? CSS

  - by JackMahoney

  I'm making a slide out menu with HTML and CSS3 - especially transitions. I would like to know what is best practice / best performance to slide a relatively positioned div horizontally. When i click a button it adds a class to my div. Which class is better? (Note I can add all the browser prefixes later and this site only targets modern browsers). //option 1 .animate{ -webkit-transition:all ease 0.3s; -webkit-transform:translateZ(200px); } //option 2 .animate{ -webkit-transition:all ease 0.3s; left:200px; } Thanks

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• Maximum number of files one ext3 directory while still getting acceptable performance?

  - by knorv

  I have an application writing to an ext3 directory which over time has grown to roughly three million files. Needless to say, reading the file listing of this directory is unbearably slow. I don't blame ext3. The proper solution would have been to let the directory write to sub-directories such as ./a/b/c/abc.ext rather than just ./abc.ext. I'm changing to such a sub-directory structure and my question is simply: roughly how many files should I expect to store in one ext3 directory while still getting acceptable performance? Or in other words; assuming that I need to store three million files in the structure, how many levels deep should the ./a/b/c/abc.ext structure be? Obviously this is a question that cannot be answered exactly, but I'm looking for a ball park estimate.

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• Chaning coding style due to Android GC performance, how far is too far?

  - by Benju

  I keep hearing that Android applications should try to limit the number of objects created in order to reduce the workload on the garbage collector. It makes sense that you may not want to created massive numbers of objects to track on a limited memory footprint, for example on a traditional server application created 100,000 objects within a few seconds would not be unheard of. The problem is how far should I take this? I've seen tons of examples of Android applications relying on static state in order supposedly "speed things up". Does increasing the number of instances that need to be garbage collected from dozens to hundreds really make that big of a difference? I can imagine changing my coding style to now created hundreds of thousands of objects like you might have on a full-blown Java-EE server but relying on a bunch of static state to (supposedly) reduce the number of objects to be garbage collected seems odd. How much is it really necessary to change your coding style in order to create performance Android apps?

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• How to solve the performance decay of a VB.NET 1.1 application?

  - by marco.ragogna

  I have single-thread windows form application written with VB.NET and targeting Framework 1.1. The software communicates with external boards through a serial interface, and it mainly consist of a state machine that run some tests, driven in a loop done with a Timer and an Interval of 50ms. The feedback on the user interface is done through some custom events raised during the tests. The problem that is driving me crazy is that the performance slightly decrease over time, and in particular after 1200/1300 test operations. The memory occupied does not increase over time, it is only the CPU that seems interested by this problem. The strange thing is that, targeting framework 2.0 and using the same identical code, I do not have this problem. I know that is difficult without looking at the code, but do you have suggestions how can I approach the problem?

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• java System.nanoTime is really slow. Is it possible to implement a high performance java profiler?

  - by willpowerforever

  I did a test and found the overhead of a function call to System.nanoTime() is at least 500 ns on my machine. Seemed that it is very hard to have a high performance java profiler. For enterprise software, suppose a function takes about 350 seconds and has 12,500,000,000 times of method calls. Therefore, the number of calls to System.nanoTime() is: 12,500,000,000 * 2 = 25,000,000,000 (one for start timestamp, one for end timestamp) And the overhead of System.nanoTime in total is: 500 ns * 25,000,000,000 = 500 * 25000 s = 12500000s. Note: all data from real case. Any better way to acquire the timestamp?

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• Does the number of busy worker threads in the CLR ThreadPool affect performance of I/O threads?

  - by andrej351

  We have a Windows Service which hosts a number of WCF services and, in an unrelated part of the app, makes extensive use of the TPL Task class to asynchronously do relatively short bits of work. It is my understanding that WCF uses managed I/O threads from the ThreadPool to execute requests. I noticed that after deploying a feature which significantly raised the applications use of Tasks, and as such the use of ThreadPool worker threads as well, performance of a couple of web services has become very slow. We're talking minutes instead of less than a second. The number of Tasks actually trying to run at any one time can range between 20 and 1000, which makes me think that any new (last in) work needing some CPU time could be forced to wait for quite some time. Does the (in my case extremely large) number of busy ThreadPool worker threads affect the ThreadPool's managed I/O threads? Or could these two be connected in any way? Thanks!

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• Does the order of case in Switch statement can vary the performance?

  - by Bipul

  Let say I have a switch statement as below Switch(alphabet){ case "f": //do something break; case "c": //do something break; case "a": //do something break; case "e": //do something break; } Now suppose I know that the frequency of having Alphabet e is highest followed by a, c and f respectively. So, I just restructured the case statement order and made them as follows. Switch(alphabet){ case "e": //do something break; case "a": //do something break; case "c": //do something break; case "f": //do something break; } Will the second Switch statement better perform(means faster) than the first switch statement? If yes and if in my program I need to call this switch statement say many times, will that be a substantial improvement? Or if not in any how can I use my frequency knowledge to improve the performance? Thanks

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• Why does SQLAlchemy with psycopg2 use_native_unicode have poor performance?

  - by Bob Dover

  I'm having a difficult time figuring out why a simple SELECT query is taking such a long time with sqlalchemy using raw SQL (I'm getting 14600 rows/sec, but when running the same query through psycopg2 without sqlalchemy, I'm getting 38421 rows/sec). After some poking around, I realized that toggling sqlalchemy's use_native_unicode parameter in the create_engine call actually makes a huge difference. This query takes 0.5secs to retrieve 7300 rows: from sqlalchemy import create_engine engine = create_engine("postgresql+psycopg2://localhost...", use_native_unicode=True) r = engine.execute("SELECT * FROM logtable") fetched_results = r.fetchall() This query takes 0.19secs to retrieve the same 7300 rows: engine = create_engine("postgresql+psycopg2://localhost...", use_native_unicode=False) r = engine.execute("SELECT * FROM logtable") fetched_results = r.fetchall() The only difference between the 2 queries is use_native_unicode. But sqlalchemy's own docs state that it is better to keep use_native_unicode=True (http://docs.sqlalchemy.org/en/latest/dialects/postgresql.html). Does anyone know why use_native_unicode is making such a big performance difference? And what are the ramifications of turning off use_native_unicode?

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• Maximum number of files in one ext3 directory while still getting acceptable performance?

  - by knorv

  I have an application writing to an ext3 directory which over time has grown to roughly three million files. Needless to say, reading the file listing of this directory is unbearably slow. I don't blame ext3. The proper solution would have been to let the application code write to sub-directories such as ./a/b/c/abc.ext rather than using only ./abc.ext. I'm changing to such a sub-directory structure and my question is simply: roughly how many files should I expect to store in one ext3 directory while still getting acceptable performance? What's your experience? Or in other words; assuming that I need to store three million files in the structure, how many levels deep should the ./a/b/c/abc.ext structure be? Obviously this is a question that cannot be answered exactly, but I'm looking for a ball park estimate.

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• How to query range of data in DB2 with highest performance?

  - by Fuangwith S.

  Usually, I need to retrieve data from a table in some range; for example, a separate page for each search result. In MySQL I use LIMIT keyword but in DB2 I don't know. Now I use this query for retrieve range of data. SELECT * FROM( SELECT SMALLINT(RANK() OVER(ORDER BY NAME DESC)) AS RUNNING_NO , DATA_KEY_VALUE , SHOW_PRIORITY FROM EMPLOYEE WHERE NAME LIKE 'DEL%' ORDER BY NAME DESC FETCH FIRST 20 ROWS ONLY ) AS TMP ORDER BY TMP.RUNNING_NO ASC FETCH FIRST 10 ROWS ONLY but I know it's bad style. So, how to query for highest performance?

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• Does the order of conditions in a WHERE clause affect MySQL performance?

  - by Greg

  Say that I have a long, expensive query, packed with conditions, searching a large number of rows. I also have one particular condition, like a company id, that will limit the number of rows that need to be searched considerably, narrowing it down to dozens from hundreds of thousands. Does make any difference to MySQL performance whether I do this: SELECT * FROM clients WHERE (firstname LIKE :foo OR lastname LIKE :foo OR phone LIKE :foo) AND (firstname LIKE :bar OR lastname LIKE :bar OR phone LIKE :bar) AND company = :ugh or this: SELECT * FROM clients WHERE company = :ugh AND (firstname LIKE :foo OR lastname LIKE :foo OR phone LIKE :foo) AND (firstname LIKE :bar OR lastname LIKE :bar OR phone LIKE :bar)

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• Which approach to create the data access layer has the highest performance?

  - by pooyakhamooshi

  I have to create a very high performance application. Currently, I am using Entity Framework for my data access layer. My application has to insert some communication data almost every second. I found that Entity Framework is slow; it has about 2 seconds delay to finish the SaveChanges() method. I was thinking I have the following options: 1. Create the data access layer myself using ADO.NET; using stored procedures or ad-hoc queries 2. Use Enterprise Library Data access Layer 3. Use NHibernate 4. Use Repository Factory: http://pooyakhamooshi.blogspot.com/search?q=repository What do you think? which one is quicker for inserting data? Which one is quicker to set up?

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• Aside from performance concerns, is Java still chosen over Groovy/JRuby etc.?

  - by yar

  [This is an empirical question about the state-of-the-art: I am NOT asking if Java is cooler or less cool than the dynamic languages that work in the JVM.] Aside from cases where performance is a main decision factor, do companies/developers still willingly chose Java over Groovy, JRuby or JPython? Personal Note: The reason I am asking is that, while I do some subset of my professional work in Ruby (not JRuby, for now), in my personal projects I use Java. While I have written non-trivial apps in Groovy, I prefer Java, but I wonder if I should just get over it and do everything in Groovy. I like Java because I feel that static typing saves me time and aids refactoring. (No, I am not familiar with Scala.) However, I feel that this very empirical, on-topic programming question may inform my decision.

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• is NATURAL JOIN any better than SELECT FROM WHERE in terms of performance ?

  - by ashy_32bit

  Today I got into a debate with my project manager about Cartesian products. He says a 'natural join' is somehow much better than using 'select from where' because the later cause the db engine to internally perform a Cartesian product but the former uses another approach that prevents this. As far as I know, the natural join syntax is not any different in anyway than 'select from where' in terms of performance or meaning, I mean you can use either based on your taste. SELECT * FROM table1,table2 WHERE table1.id=table2.id SELECT * FROM table1 NATURAL JOIN table2 please elaborate about the first query causing a Cartesian product but the second one being somehow more smart

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• Does certain tags we write in PHP affects the performance of the live server???

  - by Sachindra

  I have written some tags in PHP as <a href="<?php bloginfo('url'); ?>/?cat=<?php $cate_id ?>"><?php echo $resid->post_content ?></a> or even this one echo "<li><a href = '?cat=$cate_id'>".$resid->post_content."</a></li>";?> Does this in any case affect the performance on the live server. I am no getting the image to appear on the live server after upload but on my local system(on my side) , things are fine..

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• SQL Server and Hyper-V Dynamic Memory Part 3

  - by SQLOS Team

  In parts 1 and 2 of this series we looked at the basics of Hyper-V Dynamic Memory and SQL Server memory management. In this part Serdar looks at configuration guidelines for SQL Server memory management. Part 3: Configuration Guidelines for Hyper-V Dynamic Memory and SQL Server Now that we understand SQL Server Memory Management and Hyper-V Dynamic Memory basics, let’s take a look at general configuration guidelines in order to utilize benefits of Hyper-V Dynamic Memory in your SQL Server VMs. Requirements Host Operating System Requirements Hyper-V Dynamic Memory feature is introduced with Windows Server 2008 R2 SP1. Therefore in order to use Dynamic Memory for your virtual machines, you need to have Windows Server 2008 R2 SP1 or Microsoft Hyper-V Server 2008 R2 SP1 in your Hyper-V host. Guest Operating System Requirements In addition to this Dynamic Memory is only supported in Standard, Web, Enterprise and Datacenter editions of windows running inside VMs. Make sure that your VM is running one of these editions. For additional requirements on each operating system see “Dynamic Memory Configuration Guidelines” here. SQL Server Requirements All versions of SQL Server support Hyper-V Dynamic Memory. However, only certain editions of SQL Server are aware of dynamically changing system memory. To have a truly dynamic environment for your SQL Server VMs make sure that you are running one of the SQL Server editions listed below: ·         SQL Server 2005 Enterprise ·         SQL Server 2008 Enterprise / Datacenter Editions ·         SQL Server 2008 R2 Enterprise / Datacenter Editions Configuration guidelines for other versions of SQL Server are covered below in the FAQ section. Guidelines for configuring Dynamic Memory Parameters Here is how to configure Dynamic Memory for your SQL VMs in a nutshell: Hyper-V Dynamic Memory Parameter Recommendation Startup RAM 1 GB + SQL Min Server Memory Maximum RAM > SQL Max Server Memory Memory Buffer % 5 Memory Weight Based on performance needs   Startup RAM In order to ensure that your SQL Server VMs can start correctly, ensure that Startup RAM is higher than configured SQL Min Server Memory for your VMs. Otherwise SQL Server service will need to do paging in order to start since it will not be able to see enough memory during startup. Also note that Startup Memory will always be reserved for your VMs. This will guarantee a certain level of performance for your SQL Servers, however setting this too high will limit the consolidation benefits you’ll get out of your virtualization environment. Maximum RAM This one is obvious. If you’ve configured SQL Max Server Memory for your SQL Server, make sure that Dynamic Memory Maximum RAM configuration is higher than this value. Otherwise your SQL Server will not grow to memory values higher than the value configured for Dynamic Memory. Memory Buffer % Memory buffer configuration is used to provision file cache to virtual machines in order to improve performance. Due to the fact that SQL Server is managing its own buffer pool, Memory Buffer setting should be configured to the lowest value possible, 5%. Configuring a higher memory buffer will prevent low resource notifications from Windows Memory Manager and it will prevent reclaiming memory from SQL Server VMs. Memory Weight Memory weight configuration defines the importance of memory to a VM. Configure higher values for the VMs that have higher performance requirements. VMs with higher memory weight will have more memory under high memory pressure conditions on your host. Questions and Answers Q1 – Which SQL Server memory model is best for Dynamic Memory? The best SQL Server model for Dynamic Memory is “Locked Page Memory Model”. This memory model ensures that SQL Server memory is never paged out and it’s also adaptive to dynamically changing memory in the system. This will be extremely useful when Dynamic Memory is attempting to remove memory from SQL Server VMs ensuring no SQL Server memory is paged out. You can find instructions on configuring “Locked Page Memory Model” for your SQL Servers here. Q2 – What about other SQL Server Editions, how should I configure Dynamic Memory for them? Other editions of SQL Server do not adapt to dynamically changing environments. They will determine how much memory they should allocate during startup and don’t change this value afterwards. Therefore make sure that you configure a higher startup memory for your VM because that will be all the memory that SQL Server utilize Tune Maximum Memory and Memory Buffer based on the other workloads running on the system. If there are no other workloads consider using Static Memory for these editions. Q3 – What if I have multiple SQL Server instances in a VM? Having multiple SQL Server instances in a VM is not a general recommendation for predictable performance, manageability and isolation. In order to achieve a predictable behavior make sure that you configure SQL Min Server Memory and SQL Max Server Memory for each instance in the VM. And make sure that: ·         Dynamic Memory Startup Memory is greater than the sum of SQL Min Server Memory values for the instances in the VM ·         Dynamic Memory Maximum Memory is greater than the sum of SQL Max Server Memory values for the instances in the VM Q4 – I’m using Large Page Memory Model for my SQL Server. Can I still use Dynamic Memory? The short answer is no. SQL Server does not dynamically change its memory size when configured with Large Page Memory Model. In virtualized environments Hyper-V provides large page support by default. Most of the time, Large Page Memory Model doesn’t bring any benefits to a SQL Server if it’s running in virtualized environments. Q5 – How do I monitor SQL performance when I’m trying Dynamic Memory on my VMs? Use the performance counters below to monitor memory performance for SQL Server: Process - Working Set: This counter is available in the VM via process performance counters. It represents the actual amount of physical memory being used by SQL Server process in the VM. SQL Server – Buffer Cache Hit Ratio: This counter is available in the VM via SQL Server counters. This represents the paging being done by SQL Server. A rate of 90% or higher is desirable. Conclusion These blog posts are a quick start to a story that will be developing more in the near future. We’re still continuing our testing and investigations to provide more detailed configuration guidelines with example performance numbers with a white paper in the upcoming months. Now it’s time to give SQL Server and Hyper-V Dynamic Memory a try. Use this guidelines to kick-start your environment. See what you think about it and let us know of your experiences. - Serdar Sutay Originally posted at http://blogs.msdn.com/b/sqlosteam/

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• Why did Ubuntu suddenly get so slow?

  - by user101383

  12.10 has been slowing down mysteriously. Normally, in past versions, I can log in, open Firefox, and it will pop up within seconds. 12.10 is like that upon install too, though once I install my old apps, it gets very slow by Ubuntu standards. After login the hard drive will just make noise for a while before the OS will do anything. Hardware: enter description: Desktop Computer product: XPS 8300 () vendor: Dell Inc. serial: B6G2WR1 width: 64 bits capabilities: smbios-2.6 dmi-2.6 vsyscall32 configuration: boot=normal chassis=desktop uuid=44454C4C-3600-1047-8032-C2C04F575231 core description: Motherboard product: 0Y2MRG vendor: Dell Inc. physical id: 0 version: A00 serial: ..CN7360419G04VQ. slot: To Be Filled By O.E.M. *cpu description: CPU product: Intel(R) Core(TM) i7-2600 CPU @ 3.40GHz vendor: Intel Corp. physical id: 4 bus info: cpu@0 version: Intel(R) Core(TM) i7-2600 CPU @ 3.40GHz serial: To Be Filled By O.E.M. slot: CPU 1 size: 1600MHz capacity: 1600MHz width: 64 bits clock: 100MHz capabilities: x86-64 fpu fpu_exception wp vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx rdtscp constant_tsc arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic popcnt tsc_deadline_timer aes xsave avx lahf_lm ida arat epb xsaveopt pln pts dtherm tpr_shadow vnmi flexpriority ept vpid cpufreq configuration: cores=4 enabledcores=1 threads=2 *-cache:0 description: L1 cache physical id: 5 slot: L1-Cache size: 256KiB capacity: 256KiB capabilities: internal write-through unified *-cache:1 description: L2 cache physical id: 6 slot: L2-Cache size: 1MiB capacity: 1MiB capabilities: internal write-through unified *-cache:2 DISABLED description: L3 cache physical id: 7 slot: L3-Cache size: 8MiB capacity: 8MiB capabilities: internal write-back unified *-memory description: System Memory physical id: 20 slot: System board or motherboard size: 8GiB *-bank:0 description: SODIMM DDR3 Synchronous 1333 MHz (0.8 ns) product: NT2GC64B88B0NF-CG vendor: Nanya physical id: 0 serial: 7228183 slot: DIMM3 size: 2GiB width: 64 bits clock: 1333MHz (0.8ns) *-bank:1 description: SODIMM DDR3 Synchronous 1333 MHz (0.8 ns) product: NT2GC64B88B0NF-CG vendor: Nanya physical id: 1 serial: 1E28183 slot: DIMM1 size: 2GiB width: 64 bits clock: 1333MHz (0.8ns) *-bank:2 description: SODIMM DDR3 Synchronous 1333 MHz (0.8 ns) product: NT2GC64B88B0NF-CG vendor: Nanya physical id: 2 serial: 9E28183 slot: DIMM4 size: 2GiB width: 64 bits clock: 1333MHz (0.8ns) *-bank:3 description: SODIMM DDR3 Synchronous 1333 MHz (0.8 ns) product: NT2GC64B88B0NF-CG vendor: Nanya physical id: 3 serial: 5527183 slot: DIMM2 size: 2GiB width: 64 bits clock: 1333MHz (0.8ns) *-firmware description: BIOS vendor: Dell Inc. physical id: 0 version: A05 date: 09/21/2011 size: 64KiB capacity: 4032KiB capabilities: mca pci upgrade shadowing escd cdboot bootselect socketedrom edd int13floppy1200 int13floppy720 int13floppy2880 int5printscreen int9keyboard int14serial int17printer int10video acpi usb zipboot biosbootspecification *-pci description: Host bridge product: 2nd Generation Core Processor Family DRAM Controller vendor: Intel Corporation physical id: 100 bus info: pci@0000:00:00.0 version: 09 width: 32 bits clock: 33MHz *-pci:0 description: PCI bridge product: Xeon E3-1200/2nd Generation Core Processor Family PCI Express Root Port vendor: Intel Corporation physical id: 1 bus info: pci@0000:00:01.0 version: 09 width: 32 bits clock: 33MHz capabilities: pci pm msi pciexpress normal_decode bus_master cap_list configuration: driver=pcieport resources: irq:40 ioport:e000(size=4096) memory:fe600000-fe6fffff ioport:d0000000(size=268435456) *-display description: VGA compatible controller product: Juniper [Radeon HD 5700 Series] vendor: Advanced Micro Devices [AMD] nee ATI physical id: 0 bus info: pci@0000:01:00.0 version: 00 width: 64 bits clock: 33MHz capabilities: pm pciexpress msi vga_controller bus_master cap_list rom configuration: driver=radeon latency=0 resources: irq:44 memory:d0000000-dfffffff memory:fe620000-fe63ffff ioport:e000(size=256) memory:fe600000-fe61ffff *-multimedia description: Audio device product: Juniper HDMI Audio [Radeon HD 5700 Series] vendor: Advanced Micro Devices [AMD] nee ATI physical id: 0.1 bus info: pci@0000:01:00.1 version: 00 width: 64 bits clock: 33MHz capabilities: pm pciexpress msi bus_master cap_list configuration: driver=snd_hda_intel latency=0 resources: irq:48 memory:fe640000-fe643fff *-communication description: Communication controller product: 6 Series/C200 Series Chipset Family MEI Controller #1 vendor: Intel Corporation physical id: 16 bus info: pci@0000:00:16.0 version: 04 width: 64 bits clock: 33MHz capabilities: pm msi bus_master cap_list configuration: driver=mei latency=0 resources: irq:45 memory:fe708000-fe70800f *-usb:0 description: USB controller product: 6 Series/C200 Series Chipset Family USB Enhanced Host Controller #2 vendor: Intel Corporation physical id: 1a bus info: pci@0000:00:1a.0 version: 05 width: 32 bits clock: 33MHz capabilities: pm debug ehci bus_master cap_list configuration: driver=ehci_hcd latency=0 resources: irq:16 memory:fe707000-fe7073ff *-multimedia description: Audio device product: 6 Series/C200 Series Chipset Family High Definition Audio Controller vendor: Intel Corporation physical id: 1b bus info: pci@0000:00:1b.0 version: 05 width: 64 bits clock: 33MHz capabilities: pm msi pciexpress bus_master cap_list configuration: driver=snd_hda_intel latency=0 resources: irq:46 memory:fe700000-fe703fff *-pci:1 description: PCI bridge product: 6 Series/C200 Series Chipset Family PCI Express Root Port 1 vendor: Intel Corporation physical id: 1c bus info: pci@0000:00:1c.0 version: b5 width: 32 bits clock: 33MHz capabilities: pci pciexpress msi pm normal_decode bus_master cap_list configuration: driver=pcieport resources: irq:41 memory:fe500000-fe5fffff *-network description: Network controller product: BCM4313 802.11b/g/n Wireless LAN Controller vendor: Broadcom Corporation physical id: 0 bus info: pci@0000:02:00.0 version: 01 width: 64 bits clock: 33MHz capabilities: pm msi pciexpress bus_master cap_list configuration: driver=bcma-pci-bridge latency=0 resources: irq:16 memory:fe500000-fe503fff *-pci:2 description: PCI bridge product: 6 Series/C200 Series Chipset Family PCI Express Root Port 4 vendor: Intel Corporation physical id: 1c.3 bus info: pci@0000:00:1c.3 version: b5 width: 32 bits clock: 33MHz capabilities: pci pciexpress msi pm normal_decode bus_master cap_list configuration: driver=pcieport resources: irq:42 memory:fe400000-fe4fffff *-network description: Ethernet interface product: NetLink BCM57788 Gigabit Ethernet PCIe vendor: Broadcom Corporation physical id: 0 bus info: pci@0000:03:00.0 logical name: eth0 version: 01 serial: 18:03:73:e1:a7:71 size: 100Mbit/s capacity: 1Gbit/s width: 64 bits clock: 33MHz capabilities: pm msi pciexpress bus_master cap_list ethernet physical tp mii 10bt 10bt-fd 100bt 100bt-fd 1000bt 1000bt-fd autonegotiation configuration: autonegotiation=on broadcast=yes driver=tg3 driverversion=3.123 duplex=full firmware=sb ip=192.168.1.3 latency=0 link=yes multicast=yes port=MII speed=100Mbit/s resources: irq:47 memory:fe400000-fe40ffff *-usb:1 description: USB controller product: 6 Series/C200 Series Chipset Family USB Enhanced Host Controller #1 vendor: Intel Corporation physical id: 1d bus info: pci@0000:00:1d.0 version: 05 width: 32 bits clock: 33MHz capabilities: pm debug ehci bus_master cap_list configuration: driver=ehci_hcd latency=0 resources: irq:23 memory:fe706000-fe7063ff *-isa description: ISA bridge product: H67 Express Chipset Family LPC Controller vendor: Intel Corporation physical id: 1f bus info: pci@0000:00:1f.0 version: 05 width: 32 bits clock: 33MHz capabilities: isa bus_master cap_list configuration: latency=0 *-storage description: SATA controller product: 6 Series/C200 Series Chipset Family SATA AHCI Controller vendor: Intel Corporation physical id: 1f.2 bus info: pci@0000:00:1f.2 version: 05 width: 32 bits clock: 66MHz capabilities: storage msi pm ahci_1.0 bus_master cap_list configuration: driver=ahci latency=0 resources: irq:43 ioport:f070(size=8) ioport:f060(size=4) ioport:f050(size=8) ioport:f040(size=4) ioport:f020(size=32) memory:fe705000-fe7057ff *-serial UNCLAIMED description: SMBus product: 6 Series/C200 Series Chipset Family SMBus Controller vendor: Intel Corporation physical id: 1f.3 bus info: pci@0000:00:1f.3 version: 05 width: 64 bits clock: 33MHz configuration: latency=0 resources: memory:fe704000-fe7040ff ioport:f000(size=32) *-scsi:0 physical id: 1 logical name: scsi0 capabilities: emulated *-disk description: ATA Disk product: Hitachi HUA72201 vendor: Hitachi physical id: 0.0.0 bus info: scsi@0:0.0.0 logical name: /dev/sda version: JP4O serial: JPW9J0HD21BTZC size: 931GiB (1TB) capabilities: partitioned partitioned:dos configuration: ansiversion=5 sectorsize=512 signature=000641dc *-volume:0 description: EXT4 volume vendor: Linux physical id: 1 bus info: scsi@0:0.0.0,1 logical name: /dev/sda1 logical name: / version: 1.0 serial: 4e3d91b7-fd38-4f44-a9e9-ba3c39b926ec size: 585GiB capacity: 585GiB capabilities: primary journaled extended_attributes large_files huge_files dir_nlink recover extents ext4 ext2 initialized configuration: created=2012-10-21 16:26:50 filesystem=ext4 lastmountpoint=/ modified=2012-10-29 18:12:08 mount.fstype=ext4 mount.options=rw,relatime,errors=remount-ro,data=ordered mounted=2012-10-29 18:12:08 state=mounted *-volume:1 description: Extended partition physical id: 2 bus info: scsi@0:0.0.0,2 logical name: /dev/sda2 size: 7823MiB capacity: 7823MiB capabilities: primary extended partitioned partitioned:extended *-logicalvolume description: Linux swap / Solaris partition physical id: 5 logical name: /dev/sda5 capacity: 7823MiB capabilities: nofs *-volume:2 description: Windows NTFS volume physical id: 3 bus info: scsi@0:0.0.0,3 logical name: /dev/sda3 version: 3.1 serial: 84a92aae-347b-7940-a2d1-f4745b885ef2 size: 337GiB capacity: 337GiB capabilities: primary bootable ntfs initialized configuration: clustersize=4096 created=2012-10-21 18:43:39 filesystem=ntfs modified_by_chkdsk=true mounted_on_nt4=true resize_log_file=true state=dirty upgrade_on_mount=true *-scsi:1 physical id: 2 logical name: scsi1 capabilities: emulated *-cdrom description: DVD-RAM writer product: DVDRWBD DH-12E3S vendor: PLDS physical id: 0.0.0 bus info: scsi@1:0.0.0 logical name: /dev/cdrom logical name: /dev/cdrw logical name: /dev/dvd logical name: /dev/dvdrw logical name: /dev/sr0 version: MD11 capabilities: removable audio cd-r cd-rw dvd dvd-r dvd-ram configuration: ansiversion=5 status=nodisc *-scsi:2 physical id: 3 bus info: usb@2:1.8 logical name: scsi6 capabilities: emulated scsi-host configuration: driver=usb-storage *-disk:0 description: SCSI Disk physical id: 0.0.0 bus info: scsi@6:0.0.0 logical name: /dev/sdb configuration: sectorsize=512 *-disk:1 description: SCSI Disk physical id: 0.0.1 bus info: scsi@6:0.0.1 logical name: /dev/sdc configuration: sectorsize=512 *-disk:2 description: SCSI Disk physical id: 0.0.2 bus info: scsi@6:0.0.2 logical name: /dev/sdd configuration: sectorsize=512 *-disk:3 description: SCSI Disk product: MS/MS-Pro vendor: Generic- physical id: 0.0.3 bus info: scsi@6:0.0.3 logical name: /dev/sde version: 1.03 serial: 3 capabilities: removable configuration: sectorsize=512 *-medium physical id: 0 logical name: /dev/sde

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• Issue 15: Oracle PartnerNetwork Exchange @ Oracle OpenWorld

  - by rituchhibber

       ORACLE FOCUS Oracle PartnerNetwork Exchange@ ORACLE OpenWorld Sylvie MichouSenior DirectorPartner Marketing & Communications and Strategic Programs RESOURCES -- Oracle OpenWorld 2012 Oracle PartnerNetwork Exchange @ OpenWorld Oracle PartnerNetwork Exchange @ OpenWorld Registration Oracle PartnerNetwork Exchange SpecializationTest Fest Oracle OpenWorld Schedule Builder Oracle OpenWorld Promotional Toolkit for Partners Oracle Partner Events Oracle Partner Webcasts Oracle EMEA Partner News SUBSCRIBE FEEDBACK PREVIOUS ISSUES If you are attending our forthcoming Oracle OpenWorld 2012 conference in San Francisco from 30 September to 4 October, you will discover a new dedicated programme of keynotes and sessions tailored especially for you, our valued partners. Oracle PartnerNetwork Exchange @ OpenWorld has been created to enhance the opportunities for you to learn from and network with Oracle executives and experts. The programme also provides more informal opportunities than ever throughout the week to meet up with the people who are most important to your business: customers, prospects, colleagues and the Oracle EMEA Alliances & Channels management team. Oracle remains fully focused on building the industry's most admired partner ecosystem—which today spans over 25,000 partners. This new OPN Exchange programme offers an exciting change of pace for partners throughout the conference. Now it will be possible to enjoy a fully-integrated, partner-dedicated session schedule throughout the week, as well as key social events such as the Sunday night Welcome Reception, networking lunches from Monday to Thursday at the Howard Street Tent, and a fantastic closing event on the last Thursday afternoon. In addition to the regular Oracle OpenWorld conference schedule, if you have registered for the Oracle PartnerNetwork Exchange @ OpenWorld programme, you will be invited to attend a much anticipated global partner keynote presentation, plus more than 40 conference sessions aimed squarely at what's most important to you, as partners. Prominent topics for discussion will include: Oracle technologies and roadmaps and how they fit with partners' business plans; business development; regional distinctions in business practices; and much more. Each session will provide plenty of food for thought ahead of the numerous networking opportunities throughout the week, encouraging the knowledge exchange with Oracle executives, customers, prospects, and colleagues that will make this conference of even greater value for you. At Oracle we always work closely with our partners to deliver solution offerings that improve business value, simplify the IT experience and drive innovation and efficiencies for joint customers. The most important element of our new OPN Exchange is content that helps you get more from technology investments, more from your peer-to-peer connections, and more from your interactions with customers. To this end we've created some partner-specific tools which can be used by OPN members ahead of the conference itself. Crucially, a comprehensive Content Catalog already lists and organises details of every OPN Exchange session, speaker, exhibitor, demonstration and related materials. This Content Catalog can be used by all our partners to identify interesting content that you can add to your own personalised Oracle OpenWorld Schedule Builder, allowing more effective planning and pre-enrolment for vital sessions. There are numerous highlights that you will definitely want to include in those personal schedules. On Sunday morning, 30 September we will start the week with partner dedicated OPN Exchange sessions, following our Global Partner Keynote at 13:00 with Judson Althoff, SVP, Worldwide Alliances & Channels and Embedded Sales and senior executives, giving insight into Oracle's partner vision, strategy, and resources—all designed to help build and strengthen market opportunities for you. This will be followed by a number of OPN Exchange general sessions, the Oracle OpenWorld Opening Keynote with Larry Ellison, CEO, Oracle and concluded with the OPN Exchange AfterDark Welcome Reception, starting at 19:30 at the Metreon. From Monday 1 to Thursday 4 October, you can attend the OPN Exchange sessions that are most relevant to your business today and over the coming year. Oracle's top product and sales leaders will be on hand to discuss Oracle's strategic direction in 40+ targeted and in-depth sessions focussing on critical success factors to develop your business. Oracle's dedication to innovation, specialization, enablement and engineering provides Oracle partners with a huge opportunity to create new services and solutions, differentiate themselves and deliver extreme value to joint customers across the globe. Oracle will even be helping over 1000 partners to earn OPN Specialization certification during the Oracle OpenWorld OPN Exchange Test Fest, which will be providing all the study materials and exams required to drive Specialization for free at the conference. You simply need to check the list of current certification tracks available, and make sure you pre-register to reserve a seat in one of the ten sessions being offered free to OPN Exchange registered attendees. And finally, let's not forget those all-important networking opportunities, which can so often provide partners with valuable long-term alliances as well as exciting new business leads. The Oracle PartnerNetwork Lounge, located at Moscone South, exhibition hall, room 100 is the place where partners can meet formally or informally with colleagues, customers, prospects, and other industry professionals. OPN Specialized partners with OPN Exchange passes can also visit the OPN Video Blogging room to record and share ideas, and at the OPN Information Station you will find consultants available to answer your questions. "For the first time ever we will have a full partner conference within OpenWorld. OPN Exchange @ OpenWorld will kick-off on the first Sunday and run the entire week. We'll have over 40 sessions throughout that time and partners will hear from our top development executives, with special sessions dedicated to partnering throughout. It's going to be a phenomenal event, and we look forward to seeing our partners there." Judson Althoff, SVP, Oracle Worldwide Alliances & Channels and Embedded Sales So if you haven't done so already, please register for Oracle PartnerNetwork Exchange @ OpenWorld today or add OPN Exchange to your existing registration for just $100 through My Account. And if you have any further questions regarding partner activities at Oracle OpenWorld, please don't hesitate to contact the Oracle PartnerNetwork team at [email protected] will be on hand to share the very latest information about: Oracle's SPARC Superclusters: the latest Engineered Systems from Oracle, delivering radically improved performance, faster deployment and greatly reduced operational costs for mixed database and enterprise application consolidation Oracle's SPARC T4 servers: with the newly developed T4 processor and Oracle Solaris providing up to five times the single threaded performance and better overall system throughput for expanded application versatility Oracle Database Appliance: a new way to take advantage of the world's most popular database, Oracle Database 11g, in a single, easy-to-deploy and manage system. It's a complete package engineered to deliver simple, reliable and affordable database services to small and medium size businesses and departmental systems. All hardware and software components are supported together and offer customers unique pay-as-you-grow software licensing to quickly scale from two to 24 processor cores without incurring the costs and downtime usually associated with hardware upgrades Oracle Exalogic: the world's only integrated cloud machine, featuring server hardware and middleware software engineered together for maximum performance with minimum set-up and operational cost Oracle Exadata Database Machine: the only database machine that provides extreme performance for both data warehousing and online transaction processing (OLTP) applications, making it the ideal platform for consolidating onto grids or private clouds. It is a complete package of servers, storage, networking and software that is massively scalable, secure and redundant Oracle Sun ZFS Storage Appliances: providing enterprise-class NAS performance, price-performance, manageability and TCO by combining third-generation software with high-performance controllers, flash-based caches and disks Oracle Pillar Axiom Quality-of-Service: confidently consolidate storage for multiple applications into a single datacentre storage solution Oracle Solaris 11: delivering secure enterprise cloud deployments with the ability to run hundreds of virtual application with no overhead and co-engineered with other Oracle software products to provide the highest levels of security, manageability and performance Oracle Enterprise Manager 12c: Oracle's integrated enterprise IT management product, providing the industry's only complete, integrated and business-driven enterprise cloud management solution Oracle VM 3.0: the latest release of Oracle's server virtualisation and management solution, helping to move datacentres beyond server consolidation to improve application deployment and management. Register today and ensure your place at the Extreme Performance Tour! Extreme Performance Tour events are free to attend, but places are limited. To make sure that you don't miss out, please visit Oracle's Extreme Performance Tour website, select the city that you'd be interest in attending an event in, and then click on the 'Register Now' button for that city to secure your interest. Each individual city page also contains more in-depth information about your local event, including logistics, agenda and maybe even a preview of VIP guest speakers. -- Oracle OpenWorld 2010 Whether you attended Oracle OpenWorld 2009 or not, don't forget to save the date now for Oracle OpenWorld 2010. The event will be held a little earlier next year, from 19th-23rd September, so please don't miss out. With thousands of sessions and hundreds of exhibits and demos already lined up, there's no better place to learn how to optimise your existing systems, get an inside line on upcoming technology breakthroughs, and meet with your partner peers, Oracle strategists and even the developers responsible for the products and services that help you get better results for your end customers. Register Now for Oracle OpenWorld 2010! Perhaps you are interested in learning more about Oracle OpenWorld 2010, but don't wish to register at this time? Great! Please just enter your contact information here and we will contact you at a later date. How to Exhibit at Oracle OpenWorld 2010 Sponsorship Opportunities at Oracle OpenWorld 2010 Advertising Opportunities at Oracle OpenWorld 2010 -- Back to the welcome page

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• How can I test this SQL Server performance Utility?

  - by Martin Smith

  As part of my MSc I need to do a three month project later this year. I have decided to do something which will likely be useful for me in the workplace and spend the time getting to understand SQL Server internals. The deliverable for this project will be a performance advisor looking at a variety of different rules. Some static such as finding redundant indexes, some more dynamic such as using XEvents to find outlying invocations of stored procedure execution times when certain parameters are passed. I am struggling to come up with a good way of testing this though. I can obviously design a "bad" database and a synthetic workload that my tool will pick up issues on but I also need to demonstrate that it has real world utility. Looking at the self tuning database literature it is common to use TPC benchmarks but I've had a look at the TPCC site and it looks very time consuming to implement and not that good a fit to my project's testing needs in any event (I would still be able to "rig" it by the decisions I made on indexing or physical architecture). Plan A would be to find willing beta tester(s) but in the event that isn't possible I will need a fallback plan. The best idea I have come up with so far is to use the various MS sample applications as examples of real world applications. e.g. http://msftdpprodsamples.codeplex.com/ http://www.asp.net/community/projects/ Does anyone have any better suggestions?

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• Why can't perfmon see instances of my custom performance counter?

  - by spoulson

  I'm creating some custom performance counters for an application. I wrote a simple C# tool to create the categories and counters. For example, the code snippet below is basically what I'm running. Then, I run a separate app that endlessly refreshes the raw value of the counter. While that runs, the counter and dummy instance are seen locally in perfmon. The problem I'm having is that the monitoring system we use can't see the instances in the multi-instance counter I've created when viewing remotely from another server. When using perfmon to browse the counters, I can see the category and counters, but the instances box is grayed out and I can't even select "All instances", nor can I click "Add". Using other access methods, like [typeperf][1] exhibit similar issues. I'm not sure if this is a server or code issue. This is only reproducible in the production environment where I need it. On my desktop and development servers, it works great. I'm a local admin on all servers. CounterCreationDataCollection collection = new CounterCreationDataCollection(); var category_name = "My Application"; var counter_name = "My counter name"; CounterCreationData ccd = new CounterCreationData(); ccd.CounterType = PerformanceCounterType.RateOfCountsPerSecond64; ccd.CounterName = counter_name; ccd.CounterHelp = counter_name; collection.Add(ccd); PerformanceCounterCategory.Create(category_name, category_name, PerformanceCounterCategoryType.MultiInstance, collection); Then, in a separate app, I run this to generate dummy instance data: var pc = new PerformanceCounter(category_name, counter_name, instance_name, false); while (true) { pc.RawValue = 0; Thread.Sleep(1000); }

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• How to store data in mysql, to get the fastest performance?

  - by Oden

  Hey, I'm thinking about it, witch of the following two query types would give me the fastest performance for a user messaging module inside my site: The first one i thought about is a multi table setup, witch has a connection table, and a main table. The connection table holds the connection between accounts, and the messaging table. In this case a query would look like following, to get some data of the author, and the messages he has sent: SELECT m.*, a.username FROM messages AS m LEFT JOIN connection_table ON (message_id = m.id) LEFT JOIN accounts AS a ON (account_id = a.id) WHERE m.id = '32341' Inserting into it is a little bit more "complicated". My other idea, and in my thought the better solution of this problem is that i store the data i would use in a connection table in the same table where is store the data of the mail. Sounds like i would get lots of duplicated entries, but no, because i have a field witch has text type and holds user ids like this: *24*32*249* If I want to query them, i use the mysql LIKE method. Deleting is an other problem, but for this i have one more field where i store who has deleted the post. Sad about that i don't know how to join this. So what would you recommend? Are there other ways?

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• Why the performance of following code is degrading when I use threads ?

  - by DotNetBeginner

  Why the performance of following code is degrading when I use threads ? **1.Without threads int[] arr = new int[100000000]; //Array elements - [0][1][2][3]---[100000000-1] addWithOutThreading(arr); // Time required for this operation - 1.16 sec Definition for addWithOutThreading public void addWithOutThreading(int[] arr) { UInt64 result = 0; for (int i = 0; i < 100000000; i++) { result = result + Convert.ToUInt64(arr[i]); } Console.WriteLine("Addition = " + result.ToString()); } **2.With threads int[] arr = new int[100000000]; int part = (100000000 / 4); UInt64 res1 = 0, res2 = 0, res3 = 0, res4 = 0; ThreadStart starter1 = delegate { addWithThreading(arr, 0, part, ref res1); }; ThreadStart starter2 = delegate { addWithThreading(arr, part, part * 2, ref res2); }; ThreadStart starter3 = delegate { addWithThreading(arr, part * 2, part * 3, ref res3); }; ThreadStart starter4 = delegate { addWithThreading(arr, part * 3, part * 4, ref res4); }; Thread t1 = new Thread(starter1); Thread t2 = new Thread(starter2); Thread t3 = new Thread(starter3); Thread t4 = new Thread(starter4); t1.Start(); t2.Start(); t3.Start(); t4.Start(); t1.Join(); t2.Join(); t3.Join(); t4.Join(); Console.WriteLine("Addition = "+(res1+res2+res3+res4).ToString()); // Time required for this operation - 1.30 sec Definition for addWithThreading public void addWithThreading(int[] arr,int startIndex, int endIndex,ref UInt64 result) { for (int i = startIndex; i < endIndex; i++) { result = result + Convert.ToUInt64(arr[i]); } }

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• Application Code Redesign to reduce no. of Database Hits from Performance Perspective

  - by Rachel

  Scenario I want to parse a large CSV file and inserts data into the database, csv file has approximately 100K rows of data. Currently I am using fgetcsv to parse through the file row by row and insert data into Database and so right now I am hitting database for each line of data present in csv file so currently database hit count is 100K which is not good from performance point of view. Current Code: public function initiateInserts() { //Open Large CSV File(min 100K rows) for parsing. $this->fin = fopen($file,'r') or die('Cannot open file'); //Parsing Large CSV file to get data and initiate insertion into schema. while (($data=fgetcsv($this->fin,5000,";"))!==FALSE) { $query = "INSERT INTO dt_table (id, code, connectid, connectcode) VALUES (:id, :code, :connectid, :connectcode)"; $stmt = $this->prepare($query); // Then, for each line : bind the parameters $stmt->bindValue(':id', $data[0], PDO::PARAM_INT); $stmt->bindValue(':code', $data[1], PDO::PARAM_INT); $stmt->bindValue(':connectid', $data[2], PDO::PARAM_INT); $stmt->bindValue(':connectcode', $data[3], PDO::PARAM_INT); // Execute the statement $stmt->execute(); $this->checkForErrors($stmt); } } I am looking for a way wherein instead of hitting Database for every row of data, I can prepare the query and than hit it once and populate Database with the inserts. Any Suggestions !!! Note: This is the exact sample code that I am using but CSV file has more no. of field and not only id, code, connectid and connectcode but I wanted to make sure that I am able to explain the logic and so have used this sample code here. Thanks !!!

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