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  • Why is MySQL making the CPU run at about 80%?

    - by Robert
    MySQL is eating up about 80% of my CPU for no reason as far as I can see. Right now this server is rarely used, more of a test site I set up that will eventually be a used for production once I fix small problems like this. I run 3 instances of MySQL but it seems that my first instance is taking up all the CPU. When I turn off the first instance and leave the other two on everything runs fine. Any suggestions? I tried Show Processlist and no statements are being run besides "Sleep" and the query "Show Processlist" (obviously) at the time it's using up all this CPU. my.cnf is basic. I did not optimize or change any MySQL settings. Do you think this would cause such strange behavior? The machine is running Linux Centos 5.7 64 bit and MySQL 5.0.95. Thanks

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  • How can I know I'm buying a heatsink that will work with my CPU?

    - by Mike Peshka
    Recently I've been using my CPU a lot more for gaming, and as of two days ago, my computer had just been shutting off suddenly with no warning. I'm inclined to believe I need a new heatsink and cooling fan system. (Correct me if I am wrong.) Now I went around to BestBuy and Staples to purchase a new one, but both places instructed me to look online. Now I am posed with a problem. I don't know how to shop for one online because I want to make sure it will work with my unit. My CPU is a Pentium® Dual-Core CPU E2210 @ 2. 20GHz

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  • How do I lower idle cpu usage in ubuntu linux? Gnome or KDE Variants

    - by Jasen
    My question comes from a kde desktop currently, but it also happens with the gnome instance. When just sitting there, with only the cpu monitor widget running. no open windows, no background processes other than the desktop, my cpu is at ~20%. I wanna know how to fix this, and possibly get better performance out of it. When running my windows side, the cpu will sit at zero, and i generally load new programs about 400ms faster. With windows 7 being as slow as it is, this is not acceptable. and the widget is only set to check every 500ms, so im almost completely sure its not the widget. My system is a Gateway nv 53 amd 2.0 ghz turion with 4 gb of installed ram, and 500 gb hd. both linux and windows are 64 bit. average ram use on either system is about 1.4 gb for just the os

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  • Is there a difference in page fault rates between CPU bound and I/O bound processes?

    - by user198864
    I was thinking, should there be any difference in expectation of the page fault rate on CPU-bound vs I/O bound processes? At first I thought maybe we could, since CPU-bound processes would likely be using more memory accesses per time quantum, so I expect it would move from locality to locality faster. At the same time, the CPU-bound process is probably given a larger working set... but this doesn't affect the fault overhead as it hits a new locality IF this wasn't pre-paged in. Is there actually any real difference in the page fault rates or am I just musing about something nonexistent? And if there is, how would it impact a real-world OS like linux?

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  • For web development which is more important - CPU and Graphics card OR Ram and SSD Harddrive?

    - by adam
    Buying a laptop is always hard work and questions about specific models dont age well on forums. A popular dilema (especially with apple macbooks) is whether to spend more for a faster cpu and graphics card but settle for standard ram and hd OR drop down and spend the savings on more ram and a faster harddrive such as a ssd. Im wondering for web development i.e. ide, unit tests, photoshop work and some user testing screen capturing now and again what would provide better performance. ( No games, music production or spielberg standard video editing.) For examples sake the current apple lineup for their 15inch macbookpros. 2.66 cpu i7 4gb ram 5400rpm drive 4gig ram vs 2.4 cpu i5 8gb ram 124gb sdd roughly the same price.

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  • perfmon.exe itself taking 52.71% of cpu on windows 7 after chrome dies?

    - by jamesmoorecode
    On my Windows 7 machine (build 7100, x64, Dell XPS M1710 laptop), I'm getting horrible performance after chrome crashes. I kill the chrome process from the Resource Monitor, but after that perfmon.exe itself is shown as taking about 50% of the cpu (52.31% right now). Quitting Performance Monitor, then starting it again, shows perfmon starting out with a reasonable CPU, but it quickly (ten seconds) shoots right back up. Suggestions? So far a reboot seems to be the only way to solve the problem. I'm assuming that the perfmon issue is just a symptom of the real problem. (Update, much later: this never got resolved. I'm not seeing the problem in the RTM Win7 + latest Chrome. Yes, it was a core 2 duo, so presumably Chrome was running full blast on one cpu.)

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  • Configuring MySQL Cluster Data Nodes

    - by Mat Keep
    0 0 1 692 3948 Homework 32 9 4631 14.0 Normal 0 false false false EN-US JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:Cambria; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin; mso-ansi-language:EN-US;} In my previous blog post, I discussed the enhanced performance and scalability delivered by extensions to the multi-threaded data nodes in MySQL Cluster 7.2. In this post, I’ll share best practices on the configuration of data nodes to achieve optimum performance on the latest generations of multi-core, multi-thread CPU designs. Configuring the Data Nodes The configuration of data node threads can be managed in two ways via the config.ini file: - Simply set MaxNoOfExecutionThreads to the appropriate number of threads to be run in the data node, based on the number of threads presented by the processors used in the host or VM. - Use the new ThreadConfig variable that enables users to configure both the number of each thread type to use and also which CPUs to bind them too. The flexible configuration afforded by the multi-threaded data node enhancements means that it is possible to optimise data nodes to use anything from a single CPU/thread up to a 48 CPU/thread server. Co-locating the MySQL Server with a single data node can fully utilize servers with 64 – 80 CPU/threads. It is also possible to co-locate multiple data nodes per server, but this is now only required for very large servers with 4+ CPU sockets dense multi-core processors. 24 Threads and Beyond! An example of how to make best use of a 24 CPU/thread server box is to configure the following: - 8 ldm threads - 4 tc threads - 3 recv threads - 3 send threads - 1 rep thread for asynchronous replication. Each of those threads should be bound to a CPU. It is possible to bind the main thread (schema management domain) and the IO threads to the same CPU in most installations. In the configuration above, we have bound threads to 20 different CPUs. We should also protect these 20 CPUs from interrupts by using the IRQBALANCE_BANNED_CPUS configuration variable in /etc/sysconfig/irqbalance and setting it to 0x0FFFFF. The reason for doing this is that MySQL Cluster generates a lot of interrupt and OS kernel processing, and so it is recommended to separate activity across CPUs to ensure conflicts with the MySQL Cluster threads are eliminated. When booting a Linux kernel it is also possible to provide an option isolcpus=0-19 in grub.conf. The result is that the Linux scheduler won't use these CPUs for any task. Only by using CPU affinity syscalls can a process be made to run on those CPUs. By using this approach, together with binding MySQL Cluster threads to specific CPUs and banning CPUs IRQ processing on these tasks, a very stable performance environment is created for a MySQL Cluster data node. On a 32 CPU/Thread server: - Increase the number of ldm threads to 12 - Increase tc threads to 6 - Provide 2 more CPUs for the OS and interrupts. - The number of send and receive threads should, in most cases, still be sufficient. On a 40 CPU/Thread server, increase ldm threads to 16, tc threads to 8 and increment send and receive threads to 4. On a 48 CPU/Thread server it is possible to optimize further by using: - 12 tc threads - 2 more CPUs for the OS and interrupts - Avoid using IO threads and main thread on same CPU - Add 1 more receive thread. Summary As both this and the previous post seek to demonstrate, the multi-threaded data node extensions not only serve to increase performance of MySQL Cluster, they also enable users to achieve significantly improved levels of utilization from current and future generations of massively multi-core, multi-thread processor designs. A big thanks to Mikael Ronstrom, Senior MySQL Architect at Oracle, for his work in developing these enhancements and best practices. You can download MySQL Cluster 7.2 today and try out all of these enhancements. The Getting Started guides are an invaluable aid to quickly building a Proof of Concept Don’t forget to check out the MySQL Cluster 7.2 New Features whitepaper to discover everything that is new in the latest GA release

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  • Best pathfinding for a 2D world made by CPU Perlin Noise, with random start- and destinationpoints?

    - by Mathias Lykkegaard Lorenzen
    I have a world made by Perlin Noise. It's created on the CPU for consistency between several devices (yes, I know it takes time - I have my techniques that make it fast enough). Now, in my game you play as a fighter-ship-thingy-blob or whatever it's going to be. What matters is that this "thing" that you play as, is placed in the middle of the screen, and moves along with the camera. The white stuff in my world are walls. The black stuff is freely movable. Now, as the player moves around he will constantly see "monsters" spawning around him in a circle (a circle that's larger than the screen though). These monsters move inwards and try to collide with the player. This is the part that's tricky. I want these monsters to constantly spawn, moving towards the player, but avoid walls entirely. I've added a screenshot below that kind of makes it easier to understand (excuse me for my bad drawing - I was using Paint for this). In the image above, the following rules apply. The red dot in the middle is the player itself. The light-green rectangle is the boundaries of the screen (in other words, what the player sees). These boundaries move with the player. The blue circle is the spawning circle. At the circumference of this circle, monsters will spawn constantly. This spawncircle moves with the player and the boundaries of the screen. Each monster spawned (shown as yellow triangles) wants to collide with the player. The pink lines shows the path that I want the monsters to move along (or something similar). What matters is that they reach the player without colliding with the walls. The map itself (the one that is Perlin Noise generated on the CPU) is saved in memory as two-dimensional bit-arrays. A 1 means a wall, and a 0 means an open walkable space. The current tile size is pretty small. I could easily make it a lot larger for increased performance. I've done some path algorithms before such as A*. I don't think that's entirely optimal here though.

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  • Which parts of Graphics Pipelines are done using CPU & GPU?

    - by afriza
    Which parts of pipelines are done using CPU and which are done using GPU? Reading Wikipedia on Graphics Pipeline, maybe my question does not precisely represent what I am asking. Referring to this question, which "steps" are done in CPU and which are done in GPU? Edit: My question is more into which parts of logical high level steps needed to display terrain+3D models are using CPU/GPU instead of which functions.

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  • How do I allow mysqld to use more than 24.9% of my cpu?

    - by Joseph Yancey
    I have a Web server running on RHEL that is running Apache and MySQL. It has a Quad core 3.2Ghz Xeon CPU and 8 Gigs of RAM Most of the time, we don't have any issues at all. Our web application is very database intensive. When our usage gets pretty heavy MySQL will peg out at using 24.9% of the cpu. Most of the time, it hangs around below 5%. I have speculated that it is only using one core of the CPU and it is pegging out that core but TOP shows me in the cpu column that mysqld changes cores even while the usage stays at 24.9%. When it does this MySQL gets painfully slow as it is queuing up queries Is there some magic configuration that will tell mysql to use more cpu when it needs to? Also, any other advice on my configuration would be helpful. We run two applications on this server. One that runs Innodb but doesn't get much usage (it has been replaced by the other app), and one that runs MyIsam and gets lots of use. Overall, our whole mysql data directory is something like 13Gigs if that matters at all. Here is my config: [root@ProductionLinux root]# cat /etc/my.cnf [mysqld] server-id = 71 log-bin = /var/log/mysql/mysql-bin.log binlog-do-db = oldapplication binlog-do-db = newapplication binlog-do-db = support thread_cache_size = 30 key_buffer_size = 256M table_cache = 256 sort_buffer_size = 4M read_buffer_size = 1M skip-name-resolve innodb_data_home_dir = /usr/local/mysql/data/ innodb_data_file_path = InnoDB:100M:autoextend set-variable = innodb_buffer_pool_size=70M set-variable = innodb_additional_mem_pool_size=10M set-variable = max_connections=500 innodb_log_group_home_dir = /usr/local/mysql/data innodb_log_arch_dir = /usr/local/mysql/data set-variable = innodb_log_file_size=20M set-variable = innodb_log_buffer_size=8M innodb_flush_log_at_trx_commit = 1 log-queries-not-using-indexes log-error = /var/log/mysql/mysql-error.log mysql show variables; +---------------------------------+-----------------------------------------------------------------------------+ | Variable_name | Value | +---------------------------------+-----------------------------------------------------------------------------+ | auto_increment_increment | 1 | | auto_increment_offset | 1 | | automatic_sp_privileges | ON | | back_log | 50 | | basedir | /usr/local/mysql-standard-5.0.18-linux-x86_64-glibc23/ | | binlog_cache_size | 32768 | | bulk_insert_buffer_size | 8388608 | | character_set_client | latin1 | | character_set_connection | latin1 | | character_set_database | latin1 | | character_set_results | latin1 | | character_set_server | latin1 | | character_set_system | utf8 | | character_sets_dir | /usr/local/mysql-standard-5.0.18-linux-x86_64-glibc23/share/mysql/charsets/ | | collation_connection | latin1_swedish_ci | | collation_database | latin1_swedish_ci | | collation_server | latin1_swedish_ci | | completion_type | 0 | | concurrent_insert | 1 | | connect_timeout | 5 | | datadir | /usr/local/mysql/data/ | | date_format | %Y-%m-%d | | datetime_format | %Y-%m-%d %H:%i:%s | | default_week_format | 0 | | delay_key_write | ON | | delayed_insert_limit | 100 | | delayed_insert_timeout | 300 | | delayed_queue_size | 1000 | | div_precision_increment | 4 | | engine_condition_pushdown | OFF | | expire_logs_days | 0 | | flush | OFF | | flush_time | 0 | | | ft_max_word_len | 84 | | ft_min_word_len | 4 | | ft_query_expansion_limit | 20 | | ft_stopword_file | (built-in) | | group_concat_max_len | 1024 | | have_archive | YES | | have_bdb | NO | | have_blackhole_engine | NO | | have_compress | YES | | have_crypt | YES | | have_csv | NO | | have_example_engine | NO | | have_federated_engine | NO | | have_geometry | YES | | have_innodb | YES | | have_isam | NO | | have_ndbcluster | NO | | have_openssl | NO | | have_query_cache | YES | | have_raid | NO | | have_rtree_keys | YES | | have_symlink | YES | | init_connect | | | init_file | | | init_slave | | | innodb_additional_mem_pool_size | 10485760 | | innodb_autoextend_increment | 8 | | innodb_buffer_pool_awe_mem_mb | 0 | | innodb_buffer_pool_size | 73400320 | | innodb_checksums | ON | | innodb_commit_concurrency | 0 | | innodb_concurrency_tickets | 500 | | innodb_data_file_path | InnoDB:100M:autoextend | | innodb_data_home_dir | /usr/local/mysql/data/ | | innodb_doublewrite | ON | | innodb_fast_shutdown | 1 | | innodb_file_io_threads | 4 | | innodb_file_per_table | OFF | | innodb_flush_log_at_trx_commit | 1 | | innodb_flush_method | | | innodb_force_recovery | 0 | | innodb_lock_wait_timeout | 50 | | innodb_locks_unsafe_for_binlog | OFF | | innodb_log_arch_dir | /usr/local/mysql/data | | innodb_log_archive | OFF | | innodb_log_buffer_size | 8388608 | | innodb_log_file_size | 20971520 | | innodb_log_files_in_group | 2 | | innodb_log_group_home_dir | /usr/local/mysql/data | | innodb_max_dirty_pages_pct | 90 | | innodb_max_purge_lag | 0 | | innodb_mirrored_log_groups | 1 | | innodb_open_files | 300 | | innodb_support_xa | ON | | innodb_sync_spin_loops | 20 | | innodb_table_locks | ON | | innodb_thread_concurrency | 20 | | innodb_thread_sleep_delay | 10000 | | interactive_timeout | 28800 | | join_buffer_size | 131072 | | key_buffer_size | 268435456 | | key_cache_age_threshold | 300 | | key_cache_block_size | 1024 | | key_cache_division_limit | 100 | | language | /usr/local/mysql-standard-5.0.18-linux-x86_64-glibc23/share/mysql/english/ | | large_files_support | ON | | large_page_size | 0 | | large_pages | OFF | | license | GPL | | local_infile | ON | | locked_in_memory | OFF | | log | OFF | | log_bin | ON | | log_bin_trust_function_creators | OFF | | log_error | /var/log/mysql/mysql-error.log | | log_slave_updates | OFF | | log_slow_queries | OFF | | log_warnings | 1 | | long_query_time | 10 | | low_priority_updates | OFF | | lower_case_file_system | OFF | | lower_case_table_names | 0 | | max_allowed_packet | 1048576 | | max_binlog_cache_size | 18446744073709551615 | | max_binlog_size | 1073741824 | | max_connect_errors | 10 | | max_connections | 500 | | max_delayed_threads | 20 | | max_error_count | 64 | | max_heap_table_size | 16777216 | | max_insert_delayed_threads | 20 | | max_join_size | 18446744073709551615 | | max_length_for_sort_data | 1024 | | max_relay_log_size | 0 | | max_seeks_for_key | 18446744073709551615 | | max_sort_length | 1024 | | max_sp_recursion_depth | 0 | | max_tmp_tables | 32 | | max_user_connections | 0 | | max_write_lock_count | 18446744073709551615 | | multi_range_count | 256 | | myisam_data_pointer_size | 6 | | myisam_max_sort_file_size | 9223372036854775807 | | myisam_recover_options | OFF | | myisam_repair_threads | 1 | | myisam_sort_buffer_size | 8388608 | | myisam_stats_method | nulls_unequal | | net_buffer_length | 16384 | | net_read_timeout | 30 | | net_retry_count | 10 | | net_write_timeout | 60 | | new | OFF | | old_passwords | OFF | | open_files_limit | 2510 | | optimizer_prune_level | 1 | | optimizer_search_depth | 62 | | pid_file | /usr/local/mysql/data/ProductionLinux.pid | | port | 3306 | | preload_buffer_size | 32768 | | protocol_version | 10 | | query_alloc_block_size | 8192 | | query_cache_limit | 1048576 | | query_cache_min_res_unit | 4096 | | query_cache_size | 0 | | query_cache_type | ON | | query_cache_wlock_invalidate | OFF | | query_prealloc_size | 8192 | | range_alloc_block_size | 2048 | | read_buffer_size | 1044480 | | read_only | OFF | | read_rnd_buffer_size | 262144 | | relay_log_purge | ON | | relay_log_space_limit | 0 | | rpl_recovery_rank | 0 | | secure_auth | OFF | | server_id | 71 | | skip_external_locking | ON | | skip_networking | OFF | | skip_show_database | OFF | | slave_compressed_protocol | OFF | | slave_load_tmpdir | /tmp/ | | slave_net_timeout | 3600 | | slave_skip_errors | OFF | | slave_transaction_retries | 10 | | slow_launch_time | 2 | | socket | /tmp/mysql.sock | | sort_buffer_size | 4194296 | | sql_mode | | | sql_notes | ON | | sql_warnings | ON | | storage_engine | MyISAM | | sync_binlog | 0 | | sync_frm | ON | | sync_replication | 0 | | sync_replication_slave_id | 0 | | sync_replication_timeout | 10 | | system_time_zone | CST | | table_cache | 256 | | table_lock_wait_timeout | 50 | | table_type | MyISAM | | thread_cache_size | 30 | | thread_stack | 262144 | | time_format | %H:%i:%s | | time_zone | SYSTEM | | timed_mutexes | OFF | | tmp_table_size | 33554432 | | tmpdir | | | transaction_alloc_block_size | 8192 | | transaction_prealloc_size | 4096 | | tx_isolation | REPEATABLE-READ | | updatable_views_with_limit | YES | | version | 5.0.18-standard-log | | version_comment | MySQL Community Edition - Standard (GPL) | | version_compile_machine | x86_64 | | version_compile_os | unknown-linux-gnu | | wait_timeout | 28800 | +---------------------------------+-----------------------------------------------------------------------------+ 210 rows in set (0.00 sec)

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  • Munq is for web, Unity is for Enterprise

    - by oazabir
    The Unity Application Block (Unity) is a lightweight extensible dependency injection container with support for constructor, property, and method call injection. It’s a great library for facilitating Inversion of Control and the recent version supports AOP as well. However, when it comes to performance, it’s CPU hungry. In fact it’s so CPU hungry that it makes it impossible to make it work at Internet Scale. I was investigating some CPU issue on a portal that gets around 3MM hits per day and I found unusually high CPU. Here’s why: I did some CPU profiling on my open source project Dropthings and found that the highest CPU is consumed by Unity’s Resolve<>(). There’s no funky use of Unity in the project. Straightforward Register<>() and Resolve<>(). But as you can see, Resolve<>() is consuming significantly high CPU even after the site is warm and has been running for a while. Then I tried Munq, which is a basic Dependency Injection Container. It has everything you will usually need in a regular project. It boasts to be the fastest DI out there. So, I converted all Unity code to Munq in Dropthings and did a CPU profile and Whala!   There’s no trace of any Munq calls anywhere. That proves Munq is a lot faster than Unity.

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  • My processor is not detected intel core 2 duo

    - by walid
    My processor is not detected intel core 2 duo When I type $uname -m -p I get this i686 unknown I have Ubuntu 10.10 netbook remix but the cat /proc/cpuinfo gives right identification of two processors as below processor : 0 vendor_id : GenuineIntel cpu family : 6 model : 15 model name : Intel(R) Core(TM)2 CPU T5600 @ 1.83GHz stepping : 6 cpu MHz : 1826.000 cache size : 2048 KB physical id : 0 siblings : 2 core id : 0 cpu cores : 2 apicid : 0 initial apicid : 0 fdiv_bug : no hlt_bug : no f00f_bug : no coma_bug : no fpu : yes fpu_exception : yes cpuid level : 10 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe nx lm constant_tsc arch_perfmon pebs bts aperfmperf pni dtes64 monitor ds_cpl vmx est tm2 ssse3 cx16 xtpr pdcm lahf_lm dts tpr_shadow bogomips : 3657.99 clflush size : 64 cache_alignment : 64 address sizes : 36 bits physical, 48 bits virtual power management: processor : 1 vendor_id : GenuineIntel cpu family : 6 model : 15 model name : Intel(R) Core(TM)2 CPU T5600 @ 1.83GHz stepping : 6 cpu MHz : 1826.000 cache size : 2048 KB physical id : 0 siblings : 2 core id : 1 cpu cores : 2 apicid : 1 initial apicid : 1 fdiv_bug : no hlt_bug : no f00f_bug : no coma_bug : no fpu : yes fpu_exception : yes cpuid level : 10 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe nx lm constant_tsc arch_perfmon pebs bts aperfmperf pni dtes64 monitor ds_cpl vmx est tm2 ssse3 cx16 xtpr pdcm lahf_lm dts tpr_shadow bogomips : 3657.53 clflush size : 64 cache_alignment : 64 address sizes : 36 bits physical, 48 bits virtual power management: The problem is with programs that uses more than one core like virtualbox and bitcoin which refuses to use more than one core Is there anythign wrong or anything that I can do? My installation is from a live usb iso on a USB

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  • SQL SERVER – SOS_SCHEDULER_YIELD – Wait Type – Day 8 of 28

    - by pinaldave
    This is a very interesting wait type and quite often seen as one of the top wait types. Let us discuss this today. From Book On-Line: Occurs when a task voluntarily yields the scheduler for other tasks to execute. During this wait the task is waiting for its quantum to be renewed. SOS_SCHEDULER_YIELD Explanation: SQL Server has multiple threads, and the basic working methodology for SQL Server is that SQL Server does not let any “runnable” thread to starve. Now let us assume SQL Server OS is very busy running threads on all the scheduler. There are always new threads coming up which are ready to run (in other words, runnable). Thread management of the SQL Server is decided by SQL Server and not the operating system. SQL Server runs on non-preemptive mode most of the time, meaning the threads are co-operative and can let other threads to run from time to time by yielding itself. When any thread yields itself for another thread, it creates this wait. If there are more threads, it clearly indicates that the CPU is under pressure. You can fun the following DMV to see how many runnable task counts there are in your system. SELECT scheduler_id, current_tasks_count, runnable_tasks_count, work_queue_count, pending_disk_io_count FROM sys.dm_os_schedulers WHERE scheduler_id < 255 GO If you notice a two-digit number in runnable_tasks_count continuously for long time (not once in a while), you will know that there is CPU pressure. The two-digit number is usually considered as a bad thing; you can read the description of the above DMV over here. Additionally, there are several other counters (%Processor Time and other processor related counters), through which you can refer to so you can validate CPU pressure along with the method explained above. Reducing SOS_SCHEDULER_YIELD wait: This is the trickiest part of this procedure. As discussed, this particular wait type relates to CPU pressure. Increasing more CPU is the solution in simple terms; however, it is not easy to implement this solution. There are other things that you can consider when this wait type is very high. Here is the query where you can find the most expensive query related to CPU from the cache Note: The query that used lots of resources but is not cached will not be caught here. SELECT SUBSTRING(qt.TEXT, (qs.statement_start_offset/2)+1, ((CASE qs.statement_end_offset WHEN -1 THEN DATALENGTH(qt.TEXT) ELSE qs.statement_end_offset END - qs.statement_start_offset)/2)+1), qs.execution_count, qs.total_logical_reads, qs.last_logical_reads, qs.total_logical_writes, qs.last_logical_writes, qs.total_worker_time, qs.last_worker_time, qs.total_elapsed_time/1000000 total_elapsed_time_in_S, qs.last_elapsed_time/1000000 last_elapsed_time_in_S, qs.last_execution_time, qp.query_plan FROM sys.dm_exec_query_stats qs CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) qt CROSS APPLY sys.dm_exec_query_plan(qs.plan_handle) qp ORDER BY qs.total_worker_time DESC -- CPU time You can find the most expensive queries that are utilizing lots of CPU (from the cache) and you can tune them accordingly. Moreover, you can find the longest running query and attempt to tune them if there is any processor offending code. Additionally, pay attention to total_worker_time because if that is also consistently higher, then  the CPU under too much pressure. You can also check perfmon counters of compilations as they tend to use good amount of CPU. Index rebuild is also a CPU intensive process but we should consider that main cause for this query because that is indeed needed on high transactions OLTP system utilized to reduce fragmentations. Note: The information presented here is from my experience and there is no way that I claim it to be accurate. I suggest reading Book OnLine for further clarification. All of the discussions of Wait Stats in this blog is generic and varies from system to system. It is recommended that you test this on a development server before implementing it to a production server. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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  • how to get CPU utilization in zabbix from Windows server?

    - by kusoksna
    I'm trying to monitor CPU utilization of windows 7 32bit PC (C2D E8400) using zabbix. I tried both "perf_counter[\Processor Information(_Total)\% Processor Time]" and "system.cpu.util[,system,avg5]". After some time status of these items reverted itself to "Unsupported". Is this problem on agent side, or at server? How to fix it? Ideally I want to see percentages load per each core. UPD: topic and description updated.

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  • Power management on Android -- is app CPU correlated to power usage? [closed]

    - by foampile
    2 questions: Is application CPU usage on Android correlated and how highly to battery usage? In other words, are apps that suck a lot of CPU also draining the battery or not necessarily? Is there a way to itemize and display the phone's power use by application, at any given point in time as well as within defined time buckets and maybe view charts and such? Sort of like a diagnostic monitor for power usage by application or system component? Thanks

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  • A gigabit network interface is CPU-limited to 25MB/s. How can I maximize the throughput?

    - by netvope
    I have a Acer Aspire R1600-U910H with a nForce gigabit network adapter. The maximum TCP throughput of it is about 25MB/s, and apparently it is limited by the single core Intel Atom 230; when the maximum throughput is reached, the CPU usage is about 50%-60%, which corresponds to full utilization considering this is a Hyper-threading enabled CPU. The same problem occurs on both Windows XP and on Ubuntu 8.04. On Windows, I have installed the latest nForce chipset driver, disabled power saving features, and enabled checksum offload. On Linux, the default driver has checksum offload enabled. There is no Linux driver available on Nvidia's website. ethtool -k eth0 shows that checksum offload is enabled: Offload parameters for eth0: rx-checksumming: on tx-checksumming: on scatter-gather: on tcp segmentation offload: on udp fragmentation offload: off generic segmentation offload: off The following is the output of powertop when the network is idle: Wakeups-from-idle per second : 61.9 interval: 10.0s no ACPI power usage estimate available Top causes for wakeups: 90.9% (101.3) <interrupt> : eth0 4.5% ( 5.0) iftop : schedule_timeout (process_timeout) 1.8% ( 2.0) <kernel core> : clocksource_register (clocksource_watchdog) 0.9% ( 1.0) dhcdbd : schedule_timeout (process_timeout) 0.5% ( 0.6) <kernel core> : neigh_table_init_no_netlink (neigh_periodic_timer) And when the maximum throughput of about 25MB/s is reached: Wakeups-from-idle per second : 11175.5 interval: 10.0s no ACPI power usage estimate available Top causes for wakeups: 99.9% (22097.4) <interrupt> : eth0 0.0% ( 5.0) iftop : schedule_timeout (process_timeout) 0.0% ( 2.0) <kernel core> : clocksource_register (clocksource_watchdog) 0.0% ( 1.0) dhcdbd : schedule_timeout (process_timeout) 0.0% ( 0.6) <kernel core> : neigh_table_init_no_netlink (neigh_periodic_timer) Notice the 20000 interrupts per second. Could this be the cause for the high CPU usage and low throughput? If so, how can I improve the situation? As a reference, the other computers in the network can usually transfer at 50+MB/s without problems. A computer with a Core 2 CPU generates only 5000 interrupts per second when it's transferring at 110MB/s. The number of interrupts is about 20 times less than the Atom system (if interrupts scale linearly with throughput.) And a minor question: How can I find out what is the driver in use for eth0?

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  • What tools exist for monitoring the CPU and memory utilization of Firefox?

    - by vfclists
    Firefox appears to using too much memory and cpu even when it is idle What tools exist for monitoring the CPU and memory utilization of Firefox? I am thinking of an equivalent of Sysinternals Process Explorer for Firefox or something like top or htop, on a page, script and addon basis. More technically oriented, something I can see and hand over to the script designers or Mozilla and say "see what this doing to my browsing experience!!"

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  • How to prevent a Windows 7 PC from sleeping when CPU usage is over X%?

    - by MaxVT
    I often leave the PC running into the night to process video files, so it shouldn't sleep while it's working but it would be nice if it went into sleep when it's done. During the export the CPU is always above a set %, and when idle it's typically in the single digits. Is there some tool or setting that would prevent the PC from going to sleep as long as the CPU usage (let's say averaged over one minute) stays above a specified limit?

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  • Possible reasons for high CPU load of taskmgr.exe process on VM?

    - by mjn
    On a VMware virtual machine which has severe performance problems I can see a constant average of 20+ percent CPU load for the TASKMGR.EXE (task manager) process. The apps running on this server have lower load, around 4 to 10 percent average. The VM is running Windows 2003 Server Standard with 3.75 GB assigned RAM. I suspect that the task manager CPU load has something to do with other VM instances on the VMWare server but could not see a similar value on internal ESXi systems (the problematic VM runs in the customers IT).

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  • Les CPU monocoeur des smartphones et tablettes sont-ils assez puissants ? NVIDIA souhaite mettre plus de coeurs dans ces appareils

    Les CPU monocoeur des smartphones et tablettes sont-ils assez puissants ? Non répond Nvidia, qui souhaite implémenter plus de coeurs dans ces appareils Pour Nvidia, "les processeurs dual-core seront le standard en 2011, et les quad-core ne tarderont pas à suivre". L'entreprise trouve en effet que les appareil mobiles, actuellement équipés de puces à un seul coeur, ne sont pas assez puissants. Pourtant, on leur en demande toujours plus, notamment de nos jours avec l'arrivée des jeux en 3D ; qui sont plutôt gourmands. Face à cela, Nvidia propose d'ajouter des coeurs supplémentaires dans les circuits de ces machines. Les bénéfices ? Une durée de vie des batteries allongée, et l'e...

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  • Ubuntu Variant / Linux Distros which uses least system resources (RAM, CPU)?

    - by elegantonyx
    I have a netbook (an older Asus EEEPC 1005HA) which I want to get rid of Windoze on (I like Windows, but I don't think it works well in a netbook environment). Basically, my question is which Ubuntu variant will use the least RAM and CPU running idle, and/or the same question except when running Firefox and Libreoffice Writer, say. I am also open to suggestions of non-Ubuntu Linux distros, but since this is AskUbuntu I thought the first question would be more appropriate. I have a disk drive which I can attach to the netbook, so it doesn't have to be a Ubuntu Variant / Linux Distro which solely boots from a USB drive. I have at my disposal: DVDs, DVD writer/ disk drive, 4gb flash drive, 8 gb flash drive I was thinking either Lubuntu or Archbang / Crunchbang but I would like some help from more knowledgable people Specs: Can't boot into it right now, but I think I have either Intel Atom N270 @1.60ghz OR Intel Atom N280 @1.66ghz (single core, I think) 2gb RAM 160 GB hard drive

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  • I have an apache process that takes 98% CPU. How can I find what apache call it runs?

    - by Nir
    As you can see below, a single Apache process hangs and takes large amount of CPU resources. How can I find what http call this apache process runs? PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 12554 www-data 20 0 776m 285m 199m R 97 3.7 67:15.84 apache2 14580 www-data 20 0 748m 372m 314m S 4 4.8 0:13.60 apache2 12561 www-data 20 0 784m 416m 322m S 3 5.4 0:58.10 apache2 12592 www-data 20 0 785m 427m 332m S 2 5.6 0:57.06 apache2

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