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  • Is recursion preferred compare to iteration in multicore era?

    - by prM
    Or say, do multicore CPUs process recursion faster than iteration? Or it simply depends on how one language runs on the machine? like c executes function calls with large cost, comparing to doing simple iterations. I had this question because one day I told one of my friend that recursion isn't any amazing magic that can speed up programs, and he told me that with multicore CPUs recursion can be faster than iteration. EDIT: If we consider the most recursion-loved situation (data structure, function call), is it even possible for recursion to be faster?

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  • MySQL running on an EC2 m1.small instance has high load but low memory usage, possible resolutions?

    - by Tosh
    I have a MySQL server 5.0.75 Ubuntu, on an m1.small instance running on Amazon's EC2 as part of an application. During peak usage the server load will rise very high, while the memory usage stays low and the application server is no longer responsive since it's waiting for query results. The application server has only 5-8 apache processes running (mod_perl processes). The data directory uses only 140MB of data so the MyIsam tables aren't very big. The queries are pretty complicated with some big joins being performed, and the application makes a lot of queries. mysqltuner reports everything OK except "Maximum possible memory usage: 1.7G (99% of installed RAM)" but I'm nowhere close to using that. My question is, where should I be looking to fix this? Is this something that can be tuned away, or do I just need a larger instance/server? Googling indicates either or also upgrading MySQL server. Any pointers in the right direction would be greatly appreciated, thanks! EDIT: I just discovered this in my slow queries log: # Time: 101116 11:17:00 # User@Host: user[pass] @ [host] # Query_time: 4063 Lock_time: 1035 Rows_sent: 0 Rows_examined: 19960174 SELECT * FROM contacts WHERE contacts.contact_id IN (SELECT external_id FROM contact_relations WHERE external_table = 'contacts' AND contact_id IN (SELECT contact_id FROM contacts WHERE (company_name like '%%butan%%%' OR country like '%%butan%%%' OR city like '%%butan%%%' OR email1 like '%%butan%%%') AND (company_name is not null and company_name != ''))); Which actually brings up a different but related question: If I have a contact table containing: John Smith,The Fun Factory,555-1212,[email protected] What's the best way to search for that record using "factory" as a search key? Fulltext rarely seems to find items in the middle of a word, for example "actor" should bring up "Factory"

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  • How can I dual boot my iphone or ipad to run a very simple custom os?

    - by Jim98
    I am an experienced C/C++ programmer and have worked with assembly and many other programing language and I want to start a project as a learning process. I want to try and run a simple custom os on the iphone or ipad. What knowledge would I need to do this, and how does the iphone or ipad bootloader load the os and how could I modify it to load a custom os? Im not really sure what to ask here so I really just need to get as much information as possible so I could ask some more informed questions to get my project started Thanks

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  • How to use all the cores in Windows 7?

    - by Anon
    I am not sure if this belongs to Stackoverflow or Superuser but I thought I would ask here. I have a console based application written in C which currently takes about an hour to terminate in Windows 7 64-bit OS. The task manager reports that the application is using only 25% of the available CPU. I would like to reduce the run time by increasing cpu usage. Is there any way to let the application use all four cores (the laptop has Core i5) instead of just one? I am assuming that task manager reports 25% because only one core is allocated to the program.

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  • Simple way to print value of a register in x86 assembly.

    - by Bob
    I need to write a program in 8086 Assembly that receives data from the user, does some mathematical calculations and prints the answer on the screen, I have written all parts of the program and all work fine but I don't know how to print the number to the screen. At the end of all my calculation the answer is AX and it is treated as an unsigned 16 bit integer. How do I print the decimal (unsigned) value of the AX register?

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  • Grep without storing search to the "/ register in Vim

    - by Phro
    In my .vimrc I have a mapping that makes a line of text 'title capitalized': noremap <Leader>at :s/\v<(.)(\w{2,})/\u\1\L\2/g<CR> However, whenever I run this function, it highlights every word that is at least three characters long in my entire document. Of course I could get this behaviour to stop simply by appending :nohlsearch<CR> to the end of the mapping, but this is more of an awkward hack that still avoids a bigger problem: The last search has been replaced by \v<(.)(\w{2,}). Is there any way to use the search commands in Vim without storing the last search in the "/ register; a 'silent' search of sorts? That way, after running this title-making command, I can still use my previous search to navigate the document using n, N, etc. Edit Using @brettanomyces' answer, I found that simply setting the mapping: noremap <Leader>at :call setline(line('.'),substitute(getline('.'), '\v<(.)(\w{2,})', '\u\1\L\2', 'g'))<CR> will successfully perform the substitution without storing the searched text into the / register.

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  • Porting 32 bit C++ code to 64 bit - is it worth it? Why?

    - by NTDLS
    I am aware of some the obvious gains of the x64 architecture (higher addressable RAM addresses, ect)... but: What if my program has no real need to run in native 64 bit mode. Should I port it anyway? Are there any foreseeable deadlines for ending 32 bit support? Would my application run faster / better / more secure as native x64 code?

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  • What's the purpose of the rotate instructions (ROL, RCL on x86) ?

    - by lgratian
    I always wondered what's the purpose of the rotate instructions some CPUs have (ROL, RCL on x86, for example). What kind of software makes use of these instructions? I first thought they may be used for encryption/computing hash codes, but these libraries are written usually in C, which doesn't have operators that map to these instructions. Has anybody found an use for them? Why where they added to the instructions set?

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  • How is the implicit segment register of a near pointer determined?

    - by Daniel Trebbien
    In section 4.3 of Intel 64® and IA-32 Architectures Software Developer's Manual. Volume 1: Basic Architecture, it says: A near pointer is a 32-bit offset ... within a segment. Near pointers are used for all memory references in a flat memory model or for references in a segmented model where the identity of the segment being accessed is implied. This leads me to wondering: how is the implied segment register determined? I know that (%eip) and displaced (%eip) (e.g. -4(%eip)) addresses use %cs by default, and that (%esp) and displaced (%esp) addresses use %ss, but what about (%eax), (%edx), (%edi), (%ebp) etc., and can the implicit segment register depend also on the instruction that the memory address operand appears in?

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  • Intel cpu hyperthreading on or off for ibm db2?

    - by rtorti19
    Has anyone ever done any database performance comparisons with hyper-threading enabled vs disabled? We are running ibm db2 and I'm curious if anyone has an recommendations for enabling hyper-threading or not. With hyper-threading enabled it makes it quite difficult to do capacity planning for cpu usage. For example. "With 8 physical cores represented as 16 "threads" on the OS and a cpu-bound workload, does that mean when your cpu usage hit's 50% you are actually running at 100%." What real benefits do I gain with leaving hyper-threading enabled on an intel server running DB2? Does hyper-threading help if you're workload is truly disk IO bound? If so, up to what percentage? These are the types of questions I'm trying to answer. Any thoughts?

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  • Z77 Motherboard with i7-2600K cpu, what will not work?

    - by Mxx
    I'm building a new system. So far I think I narrowed it down to Gigabyte GA-Z77X-UD5H (Z77 Ivy Bridge chipset) motherboard. I was planning to get i5-3570K(Ivy Bridge) cpu, but now I can get i7-2600K(Sandy Bridge) cpu for free. It is my understanding that Ivy Bridge platform brings support for PCIe3 and (additional?)USB3 ports. If I were to put SB cpu into IB motherboard, what is going to happen to PCIe3 slot? Will it not work at all or downgrade to PCIe2? Also, what is the situation with USB3 ports?

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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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  • 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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  • 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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  • GNU make: should -j equal number the number of CPU cores in a system?

    - by Johan
    Hi What is you experience with the make -j flag? There seem to be some controversial if the jobs are supposed to be equal to the numbers of cores, or if you can maximize the build by adding one extra job that can be cued up while the others "work". The question is if it is better to use -j4 or -j5? And have you seen (or done) any benchmarking that support one or the other? Thanks Johan

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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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  • Are there any .net classes/functions that are optimized for multiple cores?

    - by diamandiev
    I know that the developer is supposed to do this himself. But seeing how we are getting cpu's with more and more cores and there are still many developers who do not use multithreading, if we have this functionality built in, it could increase performance dramatically in some scenarios. One particular example where this could be quite useful is in image processing. I doubt that the built in GDI+ classes are multithreaded.

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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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