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  • How to change the setting for a network device reported by ethtool, specifically Speed, on VM?

    - by Ramadheer Singh
    This is related to these two questions, although they don't answer my question. The machines are RHEL6. 1.ethtool not showing all the properties 2.changing network speed to 1000Mb/s Output on VM: [root@foo ~]# ethtool eth0 Settings for eth0: Current message level: 0x00000007 (7) Link detected: yes Output on Real Hardware: (interested in Speed) # ethtool eth0 Settings for eth0: Supported ports: [ TP ] Supported link modes: 10baseT/Half 10baseT/Full 100baseT/Half 100baseT/Full 1000baseT/Full Supports auto-negotiation: Yes Advertised link modes: 10baseT/Half 10baseT/Full 100baseT/Half 100baseT/Full 1000baseT/Full Advertised auto-negotiation: Yes ***Speed: 1000Mb/s*** Duplex: Full Port: Twisted Pair PHYAD: 1 Transceiver: internal Auto-negotiation: on Supports Wake-on: d Wake-on: d Link detected: yes if there's anyway I can set this in VM, please suggest.

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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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  • Does OO, TDD, and Refactoring to Smaller Functions affect Speed of Code?

    - by Dennis
    In Computer Science field, I have noticed a notable shift in thinking when it comes to programming. The advice as it stands now is write smaller, more testable code refactor existing code into smaller and smaller chunks of code until most of your methods/functions are just a few lines long write functions that only do one thing (which makes them smaller again) This is a change compared to the "old" or "bad" code practices where you have methods spanning 2500 lines, and big classes doing everything. My question is this: when it call comes down to machine code, to 1s and 0s, to assembly instructions, should I be at all concerned that my class-separated code with variety of small-to-tiny functions generates too much extra overhead? While I am not exactly familiar with how OO code and function calls are handled in ASM in the end, I do have some idea. I assume that each extra function call, object call, or include call (in some languages), generate an extra set of instructions, thereby increasing code's volume and adding various overhead, without adding actual "useful" code. I also imagine that good optimizations can be done to ASM before it is actually ran on the hardware, but that optimization can only do so much too. Hence, my question -- how much overhead (in space and speed) does well-separated code (split up across hundreds of files, classes, and methods) actually introduce compared to having "one big method that contains everything", due to this overhead? UPDATE for clarity: I am assuming that adding more and more functions and more and more objects and classes in a code will result in more and more parameter passing between smaller code pieces. It was said somewhere (quote TBD) that up to 70% of all code is made up of ASM's MOV instruction - loading CPU registers with proper variables, not the actual computation being done. In my case, you load up CPU's time with PUSH/POP instructions to provide linkage and parameter passing between various pieces of code. The smaller you make your pieces of code, the more overhead "linkage" is required. I am concerned that this linkage adds to software bloat and slow-down and I am wondering if I should be concerned about this, and how much, if any at all, because current and future generations of programmers who are building software for the next century, will have to live with and consume software built using these practices. UPDATE: Multiple files I am writing new code now that is slowly replacing old code. In particular I've noted that one of the old classes was a ~3000 line file (as mentioned earlier). Now it is becoming a set of 15-20 files located across various directories, including test files and not including PHP framework I am using to bind some things together. More files are coming as well. When it comes to disk I/O, loading multiple files is slower than loading one large file. Of course not all files are loaded, they are loaded as needed, and disk caching and memory caching options exist, and yet still I believe that loading multiple files takes more processing than loading a single file into memory. I am adding that to my concern.

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  • What do different patterns mean in Windows 8 file copy dialog

    - by MainMa
    When copying or extracting files, Windows 8 shows the chart with the speed of the operation. I noticed several patterns: Randomness, High speed at the beginning, then low speed during the most part of the operation, Mostly constant speed. 1. Randomness/nice mountains. 2. High speed at the beginning, then low speed during the most part of the operation. 3. Low speed at the beginning, then high speed during the most part of the operation. (Similar to the previous image, but inverted) 3. Mostly constant speed. (Same as previous image, but without the fast start) I'm curious, what each of those patterns mean? Do some indicate that there may be a problem with hard disk performance? Why the nearly constant speed is so rare, even when copying a single large file from and to a spinning drive, or when copying a single large file or a bunch of small files from and to an SSD?

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  • Understanding GPU clock rates

    - by trizicus
    I know how to overclock my CPU (mess with multiplier, and bus speed)... However, I've noticed that it seems a bit more complicated with GPU's. How and where do I start? I've noticed that I can adjust the GPU clock speed in my BIOS. Card I'm overclocking: http://www.nvidia.com/object/product_geforce_gt_240_us.html I found that memory bus speed is (Mem Speed * Bus width) / 8. So obviously a good way to overclock the memory bandwidth is to adjust the memory speed. Now, GPU speed is 550 Mhz. How do I find its speed as well? Do I multiply it by the bus width (128)? What is ideal GPU speed relative to memory bandwidth?

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  • solaris + dladm + what is unknown state and how to bring it to up?

    - by yael
    I installed Solaris 10 on my netra machine from dladm show-dev I can see which interface are down or up all interfaces are connected to the Cisco switch , and all leds are light's on all LAN cards but I not understand why all interfaces except e1000g0 are in unknown ? Please advice how to bring the unknown interfaces to up ? # dladm show-dev e1000g0 link: up speed: 1000 Mbps duplex: full e1000g1 link: unknown speed: 0 Mbps duplex: unknown e1000g2 link: unknown speed: 0 Mbps duplex: unknown e1000g3 link: unknown speed: 0 Mbps duplex: unknown nxge0 link: unknown speed: 0 Mbps duplex: unknown nxge1 link: unknown speed: 0 Mbps duplex: unknown nxge2 link: unknown speed: 0 Mbps duplex: unknown nxge3 link: unknown speed: 0 Mbps duplex: unknown

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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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  • C#: how to obtain the current clock speed of an Intel i-series CPU when TurboBoost is activated

    - by shifuimam
    I know that it's possible to get this information - Intel's own TurboBoost sidebar gadget appears to use an ActiveX control to determine the current clock speed of an i3/i5/i7 CPU when TurboBoost is active. However, I'm wanting to do this programmatically in C# - obtaining the CurrentClockSpeed value from WMI tops out at the set maximum clock speed of the CPU, so in TurboBoost mode, it doesn't report the current actual clock speed.

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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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