Search Results

Search found 13313 results on 533 pages for 'hit count'.

Page 124/533 | < Previous Page | 120 121 122 123 124 125 126 127 128 129 130 131  | Next Page >

  • NFSv3 Asynchronous Write Depends on Block Size?

    - by Joe Swanson
    I am trying to figure out if my NFSv3 deployment is performing SAFE asynchronous writes. I suspect that it is doing strictly synchronous writes, as I am getting poor performance in general. I used Wireshark to look at the 'stable' flag in write calls, and look for 'commit' calls. I noticed that, with especially large block sizes, writes to appear to be performed asynchronously: dd if=/dev/zero of=/proj/re3/0/zero bs=2097152 count=512 However, smaller block sizes appear to be performed strictly synchronously: dd if=/dev/zero of=/proj/re3/0/zero bs=8192 count=655360 What gives? How does the client decide whether to tell the server to perform writes synchronously or asynchronously? Is there any way I can get smaller block sizes to be performed asynchronously?

    Read the article

  • OpenLDAP with StartTLS broken on Debian Lenny

    - by mr.zog
    I'm trying to get OpenLDAP on Lenny to work with StartTLS. I have a Fedora 13 machine which I'm using as a client for testing. So far the Fedora client is ignoring the 'host' directive in /etc/ldap.conf when I try to connect using ldapsearch. The client wants to connect to 127.0.0.1:389 even if I specify -H ldaps://server.name on when using ldapsearch. /etc/ldap.conf on the client machine is in mode 444. But even when I try connecting locally from an ssh session, I see errors like this: ldap_sasl_interactive_bind_s: Can't contact LDAP server (-1) Someone hit me with a cluebat, plz. Update: you must use ~/.ldaprc for settings such as 'host'. Also, I just used nmap against the ldap server and it showed 636 and 389 in an open state. Here's what prints to screen when I try to connect with, ldapsearch -ZZ –x '(objectclass=*)'+ -d -1 ldap_create ldap_extended_operation_s ldap_extended_operation ldap_send_initial_request ldap_new_connection 1 1 0 ldap_int_open_connection ldap_connect_to_host: TCP 192.168.10.41:636 ldap_new_socket: 3 ldap_prepare_socket: 3 ldap_connect_to_host: Trying 192.168.10.41:636 ldap_pvt_connect: fd: 3 tm: -1 async: 0 ldap_open_defconn: successful ldap_send_server_request ber_scanf fmt ({it) ber: ber_dump: buf=0x9bdbdb8 ptr=0x9bdbdb8 end=0x9bdbdd7 len=31 0000: 30 1d 02 01 01 77 18 80 16 31 2e 33 2e 36 2e 31 0....w...1.3.6.1 0010: 2e 34 2e 31 2e 31 34 36 36 2e 32 30 30 33 37 .4.1.1466.20037 ber_scanf fmt ({) ber: ber_dump: buf=0x9bdbdb8 ptr=0x9bdbdbd end=0x9bdbdd7 len=26 0000: 77 18 80 16 31 2e 33 2e 36 2e 31 2e 34 2e 31 2e w...1.3.6.1.4.1. 0010: 31 34 36 36 2e 32 30 30 33 37 1466.20037 ber_flush2: 31 bytes to sd 3 0000: 30 1d 02 01 01 77 18 80 16 31 2e 33 2e 36 2e 31 0....w...1.3.6.1 0010: 2e 34 2e 31 2e 31 34 36 36 2e 32 30 30 33 37 .4.1.1466.20037 ldap_write: want=31, written=31 0000: 30 1d 02 01 01 77 18 80 16 31 2e 33 2e 36 2e 31 0....w...1.3.6.1 0010: 2e 34 2e 31 2e 31 34 36 36 2e 32 30 30 33 37 .4.1.1466.20037 ldap_result ld 0x9bd3050 msgid 1 wait4msg ld 0x9bd3050 msgid 1 (infinite timeout) wait4msg continue ld 0x9bd3050 msgid 1 all 1 ** ld 0x9bd3050 Connections: * host: 192.168.10.41 port: 636 (default) refcnt: 2 status: Connected last used: Sun Jun 6 12:54:05 2010 ** ld 0x9bd3050 Outstanding Requests: * msgid 1, origid 1, status InProgress outstanding referrals 0, parent count 0 ld 0x9bd3050 request count 1 (abandoned 0) ** ld 0x9bd3050 Response Queue: Empty ld 0x9bd3050 response count 0 ldap_chkResponseList ld 0x9bd3050 msgid 1 all 1 ldap_chkResponseList returns ld 0x9bd3050 NULL ldap_int_select read1msg: ld 0x9bd3050 msgid 1 all 1 ber_get_next ldap_read: want=8, got=0 ber_get_next failed. ldap_err2string ldap_start_tls: Can't contact LDAP server (-1)

    Read the article

  • Exim - Sender verify failed - rejected RCPT

    - by Newtonx
    While checking on Exim's log messages I found many entries of the following message "Sender verify failed" "rejected RCPT" ... I 'm not an exim expert... I'm afraid Exim is not delivering 100% emails to recipients, because our Email Marketing Application its getting a lower OPEN RATE. Can someone helpe understand this log messages? Is it my server saying "No Such User Here" or a remote server? 174.111.111.11 represents my server IP. Thanks Exim log 2010-10-02 14:00:19 SMTP connection from myserverdomain.com.br () [174.111.111.11]:54514 I=[174.111.111.11]:25 closed by QUIT 2010-10-02 14:00:19 SMTP connection from [174.111.111.11]:54515 I=[174.111.111.11]:25 (TCP/IP connection count = 2) 2010-10-02 14:00:19 H=myserverdomain.com.br () [174.111.111.11]:54515 I=[174.111.111.11]:25 Warning: Sender rate 672.4 / 1h 2010-10-02 14:00:19 H=myserverdomain.com.br () [174.111.111.11]:54515 I=[174.111.111.11]:25 sender verify fail for <[email protected]>: No Such User Here 2010-10-02 14:00:19 H=myserverdomain.com.br () [174.111.111.11]:54515 I=[174.111.111.11]:25 F=<[email protected]> rejected RCPT <[email protected]>: Sender verify failed 2010-10-02 14:00:19 SMTP connection from myserverdomain.com.br () [174.111.111.11]:54515 I=[174.111.111.11]:25 closed by QUIT 2010-10-02 14:00:19 SMTP connection from [174.111.111.11]:54516 I=[174.111.111.11]:25 (TCP/IP connection count = 2) 2010-10-02 14:00:19 H=myserverdomain.com.br () [174.111.111.11]:54516 I=[174.111.111.11]:25 Warning: Sender rate 673.3 / 1h 2010-10-02 14:00:19 H=myserverdomain.com.br () [174.111.111.11]:54516 I=[174.111.111.11]:25 sender verify fail for <[email protected]>: No Such User Here 2010-10-02 14:00:19 H=myserverdomain.com.br () [174.111.111.11]:54516 I=[174.111.111.11]:25 F=<[email protected]> rejected RCPT <[email protected]>: Sender verify failed 2010-10-02 14:00:19 SMTP connection from myserverdomain.com.br () [174.111.111.11]:54516 I=[174.111.111.11]:25 closed by QUIT 2010-10-02 14:00:19 SMTP connection from [174.111.111.11]:54517 I=[174.111.111.11]:25 (TCP/IP connection count = 2) 2010-10-02 14:00:19 H=myserverdomain.com.br () [174.111.111.11]:54517 I=[174.111.111.11]:25 Warning: Sender rate 674.3 / 1h 2010-10-02 14:00:20 H=myserverdomain.com.br () [174.111.111.11]:54517 I=[174.111.111.11]:25 sender verify fail for <Luciene_souza_vasconcellos=hotmail.com--2723--bounce@e-mydomain.com.br>: No Such User Here 2010-10-02 14:00:20 H=myserverdomain.com.br () [174.111.111.11]:54517 I=[174.111.111.11]:25 F=<Luciene_souza_vasconcellos=hotmail.com--2723--bounce@e-mydomain.com.br> rejected RCPT <[email protected]>: Sender verify failed

    Read the article

  • excel rows,find if include,low and high

    - by Malin Pedersen
    Link to full-size image For what is marked in orange: As mentioned in the example in the picture it says "headphones". I would like it to search through all the lines in column A, to find something that has that name in it, then it should count the number of people, and come out with the number (in how many) the "middle price" I want it to take the price of B (depending on where it found it called headphones) and take the average price of it. In secured, as I would like it to count how many of them (from the number, or from the beginning) that have "secured" as "no" and "yes." I would like to use this on several things. For what is marked in pink: Where would I find the average price of all the goods, and what the name of the particular item is? Same with the highest and lowest price. How can I do this?

    Read the article

  • Val2 function in iWork Numbers?

    - by David.Chu.ca
    Is there equivalent Excel Val2() function in Numbers? I want to get value of a cell, which contains formula. What I need to get the result text from the cell. The following is example data: A B C ? 0 what? For example, in cell A1 I have a function like: =Right(C1) which is the end character of string in C1. Then I need to use the result of A1 in B1 =Count(C$1:C1, A1 = "?") As you can see, the result is 0. I think that A1 in above expression is referring to the formula of A1, instead of its result. Is there anything available like this in Numbers? =Count(C$1:C1, Val2(A1) = "?")

    Read the article

  • How do I reference the value of a constructed environment variable in a loop?

    - by Rob Spieldenner
    What I'm trying to do is loop over environment variables. I have a number of installs that change and each install has 3 IPs to push files to and run scripts on, and I want to automate this as much as possible (so that I only have to modify a file that I'll source with the environment variables). The following is a simplified version that once I figure out I can solve my problem. So given in my.props: COUNT=2 A_0=foo B_0=bar A_1=fizz B_1=buzz I want to fill in the for loop in the following script #!/bin/bash . <path>/my.props for ((i=0; i < COUNT; i++)) do <script here> done So that I can get the values from the environment variables. Like the following(but that actually work): echo $A_$i $B_$i or A=A_$i B=B_$i echo $A $B returns foo bar then fizz buzz

    Read the article

  • CPU Utilization LAMP stack

    - by Max
    We've got an ec2 m2.4xlarge running Magento (centos 5.6, httpd 2.2, php 5.2.17 with eaccelerator 0.9.5.3, mysql 5.1.52). Right now we're getting a large traffic spike, and our top looks like this: top - 09:41:29 up 31 days, 1:12, 1 user, load average: 120.01, 129.03, 113.23 Tasks: 1190 total, 18 running, 1172 sleeping, 0 stopped, 0 zombie Cpu(s): 97.3%us, 1.8%sy, 0.0%ni, 0.5%id, 0.0%wa, 0.0%hi, 0.0%si, 0.4%st Mem: 71687720k total, 36898928k used, 34788792k free, 49692k buffers Swap: 880737784k total, 0k used, 880737784k free, 1586524k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 2433 mysql 15 0 23.6g 4.5g 7112 S 564.7 6.6 33607:34 mysqld 24046 apache 16 0 411m 65m 28m S 26.4 0.1 0:09.05 httpd 24360 apache 15 0 410m 60m 25m S 26.4 0.1 0:03.65 httpd 24993 apache 16 0 410m 57m 21m S 26.1 0.1 0:01.41 httpd 24838 apache 16 0 428m 74m 20m S 24.8 0.1 0:02.37 httpd 24359 apache 16 0 411m 62m 26m R 22.3 0.1 0:08.12 httpd 23850 apache 15 0 411m 64m 27m S 16.8 0.1 0:14.54 httpd 25229 apache 16 0 404m 46m 17m R 10.2 0.1 0:00.71 httpd 14594 apache 15 0 404m 63m 34m S 8.4 0.1 1:10.26 httpd 24955 apache 16 0 404m 50m 21m R 8.4 0.1 0:01.66 httpd 24313 apache 16 0 399m 46m 22m R 8.1 0.1 0:02.30 httpd 25119 apache 16 0 411m 59m 23m S 6.8 0.1 0:01.45 httpd Questions: Would giving msyqld more memory help it cache queries and react faster? If so, how? Other than splitting mysql and php to separate servers (which we're about to do) is there anything else we could/should be doing? Thanks! UPDATE: Here's our my.cnf along with the output of mysqltuner. It looks like a cache problem. Thanks again! # cat /etc/my.cnf [client] port = **** socket = /var/lib/mysql/mysql.sock [mysqld] datadir=/mnt/persistent/mysql port=**** socket=/var/lib/mysql/mysql.sock key_buffer = 512M max_allowed_packet = 64M table_cache = 1024 sort_buffer_size = 8M read_buffer_size = 4M read_rnd_buffer_size = 2M myisam_sort_buffer_size = 64M thread_cache_size = 128M tmp_table_size = 128M join_buffer_size = 1M query_cache_limit = 2M query_cache_size= 64M query_cache_type = 1 max_connections = 1000 thread_stack = 128K thread_concurrency = 48 log-bin=mysql-bin server-id = 1 wait_timeout = 300 innodb_data_home_dir = /mnt/persistent/mysql/ innodb_data_file_path = ibdata1:10M:autoextend innodb_buffer_pool_size = 20G innodb_additional_mem_pool_size = 20M innodb_log_file_size = 64M innodb_log_buffer_size = 8M innodb_flush_log_at_trx_commit = 1 innodb_lock_wait_timeout = 50 innodb_thread_concurrency = 48 ft_min_word_len=3 [myisamchk] ft_min_word_len=3 key_buffer = 128M sort_buffer_size = 128M read_buffer = 2M write_buffer = 2M # ./mysqltuner.pl >> MySQLTuner 1.2.0 - Major Hayden <[email protected]> >> Bug reports, feature requests, and downloads at http://mysqltuner.com/ >> Run with '--help' for additional options and output filtering -------- General Statistics -------------------------------------------------- [--] Skipped version check for MySQLTuner script [OK] Currently running supported MySQL version 5.1.52-log [OK] Operating on 64-bit architecture -------- Storage Engine Statistics ------------------------------------------- [--] Status: +Archive -BDB +Federated +InnoDB -ISAM -NDBCluster [--] Data in MyISAM tables: 2G (Tables: 26) [--] Data in InnoDB tables: 749M (Tables: 250) [!!] Total fragmented tables: 262 -------- Security Recommendations ------------------------------------------- -------- Performance Metrics ------------------------------------------------- [--] Up for: 31d 2h 30m 38s (680M q [253.371 qps], 2M conn, TX: 4825B, RX: 236B) [--] Reads / Writes: 89% / 11% [--] Total buffers: 20.6G global + 15.1M per thread (1000 max threads) [OK] Maximum possible memory usage: 35.4G (51% of installed RAM) [OK] Slow queries: 0% (35K/680M) [OK] Highest usage of available connections: 53% (537/1000) [OK] Key buffer size / total MyISAM indexes: 512.0M/457.2M [OK] Key buffer hit rate: 100.0% (9B cached / 264K reads) [OK] Query cache efficiency: 42.3% (260M cached / 615M selects) [!!] Query cache prunes per day: 4384652 [OK] Sorts requiring temporary tables: 0% (1K temp sorts / 38M sorts) [!!] Joins performed without indexes: 100404 [OK] Temporary tables created on disk: 17% (7M on disk / 45M total) [OK] Thread cache hit rate: 99% (537 created / 2M connections) [!!] Table cache hit rate: 0% (1K open / 946K opened) [OK] Open file limit used: 9% (453/5K) [OK] Table locks acquired immediately: 99% (758M immediate / 758M locks) [OK] InnoDB data size / buffer pool: 749.3M/20.0G -------- Recommendations ----------------------------------------------------- General recommendations: Run OPTIMIZE TABLE to defragment tables for better performance Enable the slow query log to troubleshoot bad queries Adjust your join queries to always utilize indexes Increase table_cache gradually to avoid file descriptor limits Variables to adjust: query_cache_size (> 64M) join_buffer_size (> 1.0M, or always use indexes with joins) table_cache (> 1024)

    Read the article

  • Help me find the offending process waking my Windows 7 PC from hibernate every night

    - by DavidGugick
    Recently my Windows 7 64-bit PC has started waking every night from hibernation around 3:30am. I have done the following to try and figure out what is causing the issue with no luck: Examined the Windows Event logs. Nothing is noted Ran powercfg -lastwake and that reports nothing c:\powercfg -lastwake Wake History Count - 1 Wake History [0] Wake Source Count - 0 Ran powercfg to find what devices are armed for wake. Interestingly, this reports two items (I've already unchecked the "Allow this device to wake the computer" in device manager): The keyboard and something called the "eHome Infrared Receiver (USBCIR)". This is a desktop PC and it does not have an Infrared received, so I'm not sure what that device is. Suffice to say it does not have the option to "Allow device to wake..." available in Device Manager. C:\powercfg -devicequery wake_armed eHome Infrared Receiver (USBCIR) HID Keyboard Device My next step is to disable the Keyboard from wake, but I'm not convined that's the problem. This is on a Dell XPS435 if that helps anyone.

    Read the article

  • Optimum number of threads while multitasking

    - by Gun Deniz
    I know similar questions have been asked but I think my case is a little bit diffrent. Let's say I have a computer with 8 cores and infinite memory with a Linux OS. I have a calculation software called Gaussian that can take advantage of multithreading. So I set its thread count to 8 for a single calculation for maximum speed. However I really can't decide what to do when I need to do run for instance 8 calculations simultaneously. In that case should I set the thread count to 1(total 8 threads spawned in 8 processes) or keep it 8(total 64 threads spawned in 8 processes) for each job? Does it really matter much? A related question is does the OS automatically does the core-parking to diffrent cores for each thread?

    Read the article

  • What Are All the Variables Necessary to Create Blackbox Logs for Nginx?

    - by Alan Gutierrez
    There's an article out there, Profiling LAMP Applications with Apache's Blackbox Logs, that describes how to create a log that records a lot of detailed information missing in the common and combined log formats. This information is supposed to help you resolve performance issues. As the author notes "While the common log-file format (and the combined format) are great for hit tracking, they aren't suitable for getting hardcore performance data." The article describes a "blackbox" log format, like a blackbox flight recorder on an aircraft, that gathers information used to profile server performance, missing from the hit tracking log formats: Keep alive status, remote port, child processes, bytes sent, etc. LogFormat "%a/%S %X %t \"%r\" %s/%>s %{pid}P/%{tid}P %T/%D %I/%O/%B" blackbox I'm trying to recreate as much of the format for Nginx, and would like help filling in the blanks. Here's what Nginx blackbox format would look like, the unmapped Apache directives have question marks after their names. access_log blackbox '$remote_addr/$remote_port X? [$time_local] "$request"' 's?/$status $pid/0 T?/D? I?/O?/B?' Here's a table of the variables I've been able to map from the Nginx documentation. %a = $remote_addr - The IP address of the remote client. %S = $remote_port - The port of the remote client. %X = ? - Keep alive status. %t = $time_local - The start time of the request. %r = $request - The first line of request containing method verb, path and protocol. %s = ? - Status before any redirections. %>s = $status - Status after any redirections. %{pid}P = $pid - The process id. %{tid}P = N/A - The thread id, which is non-applicable to Nignx. %T = ? - The time in seconds to handle the request. %D = ? - The time in milliseconds to handle the request. %I = ? - The count of bytes received including headers. %O = ? - The count of bytes sent including headers. %B = ? - The count of bytes sent excluding headers, but with a 0 for none instead of '-'. Looking for help filling in the missing variables, or confirmation that the missing variables are in fact, unavailable in Nginx.

    Read the article

  • How Can We Create Blackbox Logs for Nginx?

    - by Alan Gutierrez
    There's an article out there, Profiling LAMP Applications with Apache's Blackbox Logs, that describes how to create a log that records a lot of detailed information missing in the common and combined log formats. This information is supposed to help you resolve performance issues. As the author notes "While the common log-file format (and the combined format) are great for hit tracking, they aren't suitable for getting hardcore performance data." The article describes a "blackbox" log format, like a blackbox flight recorder on an aircraft, that gathers information used to profile server performance, missing from the hit tracking log formats: Keep alive status, remote port, child processes, bytes sent, etc. LogFormat "%a/%S %X %t \"%r\" %s/%>s %{pid}P/%{tid}P %T/%D %I/%O/%B" blackbox I'm trying to recreate as much of the format for Nginx, and would like help filling in the blanks. Here's what Nginx blackbox format would look like, the unmapped Apache directives have question marks after their names. access_log blackbox '$remote_addr/$remote_port X? [$time_local] "$request"' 's?/$status $pid/0 T?/D? I?/$bytes_sent/$body_bytes_sent' Here's a table of the variables I've been able to map from the Nginx documentation. %a = $remote_addr - The IP address of the remote client. %S = $remote_port - The port of the remote client. %X = ? - Keep alive status. %t = $time_local - The start time of the request. %r = $request - The first line of request containing method verb, path and protocol. %s = ? - Status before any redirections. %>s = $status - Status after any redirections. %{pid}P = $pid - The process id. %{tid}P = N/A - The thread id, which is non-applicable to Nignx. %T = ? - The time in seconds to handle the request. %D = $request_time - The time in milliseconds to handle the request. %I = ? - The count of bytes received including headers. %O = $bytes_sent - The count of bytes sent including headers. %B = $body_bytes_sent - The count of bytes sent excluding headers, but with a 0 for none instead of '-'. Looking for help filling in the missing variables, or confirmation that the missing variables are in fact, unavailable in Nginx.

    Read the article

  • How to stop iPhone's safari browser from silently dropping tabs when you open a 9th tab?

    - by MattH
    Currently in the iPhone safari mobile browser, if you have 8 tabs open and open a new tab, the new tab opens as requested, but one of the existing tabs is silently discarded. Is there any known way to change this behaviour, e.g. to prompt me first and allow me to choose which tab to close, or to open the 9th tab, or to at least have visibility of what tab was closed? When I open something in a new tab it's because I want to come back to the previous tab later, so this conflicts with the way I usually browse the web. My current workaround is to manually monitor the tab count -- i.e. to check that the count is 7 or less before opening a new tab.

    Read the article

  • Sync Banshee library data.

    - by Dom
    I use Banshee to organise my music, I particularly like its scoring system and I have smart playlists based on it. However, I have two versions of my music library, one on each of my computers. As one of the computers is small I only have a favourite set of songs on that computer rather than my whole collection. The computers are not on a local network, but I do use Ubuntu One for file sharing between them. Is there any way I can synchronise song data (play count, score, skip count ...) and playlist data (including smart playlists that include songs based on this data) between the two computers? This would only be relevant of course for the songs that exist on both computers, the songs that exist on only one would need to be ignored. I did consider putting the library data file (I think it is .xml but I'm not sure) into the shared file and creating a symbolic link to it, but then I wouldn't be able to have a different set of songs on each computer. Thank you.

    Read the article

  • Cisco redundancy modes

    - by user974896
    I am using a Cisco 6500 series with an SSO redundancy configuration. The show redundancy output is as follows: Hardware Mode = Duplex Configured Redundancy Mode = sso Operating Redundancy Mode = rpr Maintenance Mode = Disabled Communications = Up I would assume the device is operating in RPR mode although SSO is configured. What could cause this? Shouldn't the operating mode be SSO? EDIT (show redundancy states): my state = 13 -ACTIVE peer state = 4 -STANDBY COLD Mode = Duplex Unit = Primary Unit ID = 5 Redundancy Mode (Operational) = rpr Redundancy Mode (Configured) = sso Redundancy State = rpr Split Mode = Disabled Manual Swact = Enabled Communications = Up client count = 60 client_notification_TMR = 30000 milliseconds keep_alive TMR = 9000 milliseconds keep_alive count = 1 keep_alive threshold = 18 RF debug mask = 0x0

    Read the article

  • Compute number of occurrences in a column of a spreadsheet

    - by wnstnsmth
    I have a Google Drive spreadsheet with a single column that holds string values (Twitter screen names) such as "user1", "user1", "UserX", and I would like to count those values so that I can easily craft a bar chart out of it. So the result should be value occurrence ----------------------- user1 2 UserX 1 ... .... Please note, I only want to look for whole words, and not part words. EG, the words 'on' and 'one' appears in the word 'money' - I would not count this (eg, only the word money is counted). Hope that is clear enough. What formula should I use?

    Read the article

  • Why is this MySQL FULLTEXT query returning 0 rows when matching rows are present?

    - by Don MacAskill
    I have a MySQL table with 200M rows which has a FULLTEXT index on two columns (Title,Body). When I do a simple FULLTEXT query in the default NATURAL LANGUAGE mode for some popular results (they'd return 2M+ rows), I'm getting zero rows back: SELECT COUNT(*) FROM itemsearch WHERE MATCH (Title, Body) AGAINST ('fubar'); But when I do a FULLTEXT query in BOOLEAN mode, I can see the rows in question do exist (I get 2M+ back, depending): SELECT COUNT(*) FROM itemsearch WHERE MATCH (Title, Body) AGAINST ('+fubar' IN BOOLEAN MODE); I have some queries which return ~500K rows which are working fine in either mode, so if it's result size related, it seems to crop up somewhere between 500K and a little north of 2M. I've tried playing with the various buffer size variables, to no avail. It's clearly not the 50% threshold, since we're not getting 100M rows back for any result. Any ideas?

    Read the article

  • need assistance with my.cnf - 1500% CPU usage

    - by Alan Long
    I'm running into a few issues with our new database server. It is a HP G8 with 2 INTEL XEON E5-2650 processors and 32GB of ram. This server is dedicated as a MySQL server (5.1.69) for our intranet portal. I have been having issues with this server staying alive - I notice high CPU usage during certain times of day (8% ~ 1500%+) and see very low memory usage (7 ~ 15%) based on using the 'top' command. When the CPU usage passes 1000%, that is when the app usually dies. I'm trying to see what I'm doing wrong with the config file, hopefully one of the experts can chime in and let me know what they think. See below for my.cnf file: [mysqld] default-storage-engine=InnoDB datadir=/var/lib/mysql socket=/var/lib/mysql/mysql.sock #user=mysql large-pages # Disabling symbolic-links is recommended to prevent assorted security risks symbolic-links=0 max_connections=275 tmp_table_size=1G key_buffer_size=384M key_buffer=384M thread_cache_size=1024 long_query_time=5 low_priority_updates=1 max_heap_table_size=1G myisam_sort_buffer_size=8M concurrent_insert=2 table_cache=1024 sort_buffer_size=8M read_buffer_size=5M read_rnd_buffer_size=6M join_buffer_size=16M table_definition_cache=6k open_files_limit=8k slow_query_log #skip-name-resolve # Innodb Settings innodb_buffer_pool_size=18G innodb_thread_concurrency=0 innodb_log_file_size=1G innodb_log_buffer_size=16M innodb_flush_log_at_trx_commit=2 innodb_lock_wait_timeout=50 innodb_file_per_table #innodb_buffer_pool_instances=4 #eliminating double buffering innodb_flush_method = O_DIRECT flush_time=86400 innodb_additional_mem_pool_size=40M #innodb_io_capacity = 5000 #innodb_read_io_threads = 64 #innodb_write_io_threads = 64 # increase until threads_created doesnt grow anymore thread_cache=1024 query_cache_type=1 query_cache_limit=4M query_cache_size=256M # Try number of CPU's*2 for thread_concurrency thread_concurrency = 0 wait_timeout = 1800 connect_timeout = 10 interactive_timeout = 60 [mysqldump] max_allowed_packet=32M [mysqld_safe] log-error=/var/log/mysqld.log pid-file=/var/run/mysqld/mysqld.pid log-slow-queries=/var/log/mysql/slow-queries.log long_query_time = 1 log-queries-not-using-indexes we connect to one database with 75 tables, the largest table has 1,150,000 entries and the second largest has 128,036 entries. I have also verified that our PHP queries are optimized as best as possible. Reference - MySQLtuner: >> MySQLTuner 1.2.0 - Major Hayden <[email protected]> >> Bug reports, feature requests, and downloads at http://mysqltuner.com/ >> Run with '--help' for additional options and output filtering -------- General Statistics -------------------------------------------------- [--] Skipped version check for MySQLTuner script [OK] Currently running supported MySQL version 5.1.69-log [OK] Operating on 64-bit architecture -------- Storage Engine Statistics ------------------------------------------- [--] Status: -Archive -BDB -Federated +InnoDB -ISAM -NDBCluster [--] Data in InnoDB tables: 420M (Tables: 75) [!!] Total fragmented tables: 75 -------- Security Recommendations ------------------------------------------- [!!] User '[email protected]' has no password set. -------- Performance Metrics ------------------------------------------------- [--] Up for: 1h 14m 50s (8M q [1K qps], 705 conn, TX: 6B, RX: 892M) [--] Reads / Writes: 68% / 32% [--] Total buffers: 19.7G global + 35.2M per thread (275 max threads) [!!] Maximum possible memory usage: 29.1G (93% of installed RAM) [OK] Slow queries: 0% (472/8M) [OK] Highest usage of available connections: 66% (183/275) [OK] Key buffer size / total MyISAM indexes: 384.0M/91.0K [OK] Key buffer hit rate: 100.0% (173 cached / 0 reads) [OK] Query cache efficiency: 96.2% (7M cached / 7M selects) [!!] Query cache prunes per day: 553614 [OK] Sorts requiring temporary tables: 0% (3 temp sorts / 1K sorts) [!!] Temporary tables created on disk: 49% (3K on disk / 7K total) [OK] Thread cache hit rate: 74% (183 created / 705 connections) [OK] Table cache hit rate: 97% (231 open / 238 opened) [OK] Open file limit used: 0% (17/8K) [OK] Table locks acquired immediately: 100% (432K immediate / 432K locks) [OK] InnoDB data size / buffer pool: 420.9M/18.0G -------- Recommendations ----------------------------------------------------- General recommendations: Run OPTIMIZE TABLE to defragment tables for better performance MySQL started within last 24 hours - recommendations may be inaccurate Reduce your overall MySQL memory footprint for system stability Increasing the query_cache size over 128M may reduce performance Temporary table size is already large - reduce result set size Reduce your SELECT DISTINCT queries without LIMIT clauses Variables to adjust: *** MySQL's maximum memory usage is dangerously high *** *** Add RAM before increasing MySQL buffer variables *** query_cache_size (> 256M) [see warning above] Thanks in advanced for your help!

    Read the article

  • mySQL Optimization Suggestions

    - by Brian Schroeter
    I'm trying to optimize our mySQL configuration for our large Magento website. The reason I believe that mySQL needs to be configured further is because New Relic has shown that our SELECT queries are taking a long time (20,000+ ms) in some categories. I ran MySQLTuner 1.3.0 and got the following results... (Disclaimer: I restarted mySQL earlier after tweaking some settings, and so the results here may not be 100% accurate): >> MySQLTuner 1.3.0 - Major Hayden <[email protected]> >> Bug reports, feature requests, and downloads at http://mysqltuner.com/ >> Run with '--help' for additional options and output filtering [OK] Currently running supported MySQL version 5.5.37-35.0 [OK] Operating on 64-bit architecture -------- Storage Engine Statistics ------------------------------------------- [--] Status: +ARCHIVE +BLACKHOLE +CSV -FEDERATED +InnoDB +MRG_MYISAM [--] Data in MyISAM tables: 7G (Tables: 332) [--] Data in InnoDB tables: 213G (Tables: 8714) [--] Data in PERFORMANCE_SCHEMA tables: 0B (Tables: 17) [--] Data in MEMORY tables: 0B (Tables: 353) [!!] Total fragmented tables: 5492 -------- Security Recommendations ------------------------------------------- [!!] User '@host5.server1.autopartsnetwork.com' has no password set. [!!] User '@localhost' has no password set. [!!] User 'root@%' has no password set. -------- Performance Metrics ------------------------------------------------- [--] Up for: 5h 3m 4s (5M q [317.443 qps], 42K conn, TX: 18B, RX: 2B) [--] Reads / Writes: 95% / 5% [--] Total buffers: 35.5G global + 184.5M per thread (1024 max threads) [!!] Maximum possible memory usage: 220.0G (174% of installed RAM) [OK] Slow queries: 0% (6K/5M) [OK] Highest usage of available connections: 5% (61/1024) [OK] Key buffer size / total MyISAM indexes: 512.0M/3.1G [OK] Key buffer hit rate: 100.0% (102M cached / 45K reads) [OK] Query cache efficiency: 66.9% (3M cached / 5M selects) [!!] Query cache prunes per day: 3486361 [OK] Sorts requiring temporary tables: 0% (0 temp sorts / 812K sorts) [!!] Joins performed without indexes: 1328 [OK] Temporary tables created on disk: 11% (126K on disk / 1M total) [OK] Thread cache hit rate: 99% (61 created / 42K connections) [!!] Table cache hit rate: 19% (9K open / 49K opened) [OK] Open file limit used: 2% (712/25K) [OK] Table locks acquired immediately: 100% (5M immediate / 5M locks) [!!] InnoDB buffer pool / data size: 32.0G/213.4G [OK] InnoDB log waits: 0 -------- Recommendations ----------------------------------------------------- General recommendations: Run OPTIMIZE TABLE to defragment tables for better performance MySQL started within last 24 hours - recommendations may be inaccurate Reduce your overall MySQL memory footprint for system stability Enable the slow query log to troubleshoot bad queries Increasing the query_cache size over 128M may reduce performance Adjust your join queries to always utilize indexes Increase table_cache gradually to avoid file descriptor limits Read this before increasing table_cache over 64: http://bit.ly/1mi7c4C Variables to adjust: *** MySQL's maximum memory usage is dangerously high *** *** Add RAM before increasing MySQL buffer variables *** query_cache_size (> 512M) [see warning above] join_buffer_size (> 128.0M, or always use indexes with joins) table_cache (> 12288) innodb_buffer_pool_size (>= 213G) My my.cnf configuration is as follows... [client] port = 3306 [mysqld_safe] nice = 0 [mysqld] tmpdir = /var/lib/mysql/tmp user = mysql port = 3306 skip-external-locking character-set-server = utf8 collation-server = utf8_general_ci event_scheduler = 0 key_buffer = 512M max_allowed_packet = 64M thread_stack = 512K thread_cache_size = 512 sort_buffer_size = 24M read_buffer_size = 8M read_rnd_buffer_size = 24M join_buffer_size = 128M # for some nightly processes client sessions set the join buffer to 8 GB auto-increment-increment = 1 auto-increment-offset = 1 myisam-recover = BACKUP max_connections = 1024 # max connect errors artificially high to support behaviors of NetScaler monitors max_connect_errors = 999999 concurrent_insert = 2 connect_timeout = 5 wait_timeout = 180 net_read_timeout = 120 net_write_timeout = 120 back_log = 128 # this table_open_cache might be too low because of MySQL bugs #16244691 and #65384) table_open_cache = 12288 tmp_table_size = 512M max_heap_table_size = 512M bulk_insert_buffer_size = 512M open-files-limit = 8192 open-files = 1024 query_cache_type = 1 # large query limit supports SOAP and REST API integrations query_cache_limit = 4M # larger than 512 MB query cache size is problematic; this is typically ~60% full query_cache_size = 512M # set to true on read slaves read_only = false slow_query_log_file = /var/log/mysql/slow.log slow_query_log = 0 long_query_time = 0.2 expire_logs_days = 10 max_binlog_size = 1024M binlog_cache_size = 32K sync_binlog = 0 # SSD RAID10 technically has a write capacity of 10000 IOPS innodb_io_capacity = 400 innodb_file_per_table innodb_table_locks = true innodb_lock_wait_timeout = 30 # These servers have 80 CPU threads; match 1:1 innodb_thread_concurrency = 48 innodb_commit_concurrency = 2 innodb_support_xa = true innodb_buffer_pool_size = 32G innodb_file_per_table innodb_flush_log_at_trx_commit = 1 innodb_log_buffer_size = 2G skip-federated [mysqldump] quick quote-names single-transaction max_allowed_packet = 64M I have a monster of a server here to power our site because our catalog is very large (300,000 simple SKUs), and I'm just wondering if I'm missing anything that I can configure further. :-) Thanks!

    Read the article

  • Server Requirement and Cost for an android Application [duplicate]

    - by CagkanToptas
    This question already has an answer here: How do you do load testing and capacity planning for web sites? 3 answers Can you help me with my capacity planning? 2 answers I am working on a project which is an android application. For my project proposal, I need to calculate what is my server requirements to overcome the traffic I explained below? and if possible, I want to learn what is approximate cost of such server? I am giving the maximum expected values for calculation : -Database will be in mysql (Average service time of DB is 100-110ms in my computer[i5,4GB Ram]) -A request will transfer 150Kb data for each request on average. -Total user count : 1m -Active user count : 50k -Estimated request/sec for 1 active user : 0.06 -Total expected request/second to the server = ~5000 I am expecting this traffic between 20:00-1:00 everyday and then this values will decrease to 1/10 rest of the day. Is there any solution to this? [e.g increasing server capacity in a specific time period everyday to reduce cost]

    Read the article

  • Iptables and counters

    - by mehturt
    I'm trying to use iptables counters with munin to monitor traffic of hosts on my local subnet. For each host I set up a rule like this: iptables -I OUTPUT -d $ip This should count the packets going from firewall to $ip, correct? I found out that this does not seem to count all packets. I start tcpdump on my router (Linux) and I see packets to $ip that are not counted. For example I check number of packets for rule to my phone IP. I start tcpdump, refresh Gmail on my phoone, I see packets in tcpdump's output but iptables rule counters are not incremented. Then I open a web page on the same phone and the counters are incremented. What could be the reason?

    Read the article

  • Use `dd` linux program to save / recover a disk's MBR

    - by Graduate
    I have an Ubuntu OS installed on my laptop. I want to install Windows 7 as well to another disk partition (I will do it by recovering it from a special partition on my laptop). After installing Windows, I want to recover my hard drive MBR to be able to load Ubuntu. I have a plan to use linux dd program: 1) (Before installing, perform this command in Linux) dd if=/dev/sda of=/home/user/mbr_backup bs=512 count=1 2) (after installing, load Ubuntu Live CD and launch this) dd if=/home/user/mbr_backup of=/dev/sda bs=512 count=1 3) Load Ubuntu on PC and re-configure the GRUB2 to be able start Windows I need your advice, I want to be sure I won't damage the disk (it's partition table).

    Read the article

  • SQL SERVER – Generate Report for Index Physical Statistics – SSMS

    - by pinaldave
    Few days ago, I wrote about SQL SERVER – Out of the Box – Activity and Performance Reports from SSSMS (Link). A user asked me a question regarding if we can use similar reports to get the detail about Indexes. Yes, it is possible to do the same. There are similar type of reports are available at Database level, just like those available at the Server Instance level. You can right click on Database name and click Reports. Under Standard Reports, you will find following reports. Disk Usage Disk Usage by Top Tables Disk Usage by Table Disk Usage by Partition Backup and Restore Events All Transactions All Blocking Transactions Top Transactions by Age Top Transactions by Blocked Transactions Count Top Transactions by Locks Count Resource Locking Statistics by Objects Object Execute Statistics Database Consistency history Index Usage Statistics Index Physical Statistics Schema Change history User Statistics Select the Reports with name Index Physical Statistics. Once click, a report containing all the index names along with other information related to index will be visible, e.g. Index Type and number of partitions. One column that caught my interest was Operation Recommended. In some place, it suggested that index needs to be rebuilt. It is also possible to click and expand the column of partitions and see additional details about index as well. DBA and Developers who just want to have idea about how your index is and its physical statistics can use this tool. Click to Enlarge Note: Please note that I will rebuild my indexes just because this report is recommending it. There are many other parameters you need to consider before rebuilding indexes. However, this tool gives you the accurate stats of your index and it can be right away exported to Excel or PDF writing by clicking on the report. Reference : Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, SQL, SQL Authority, SQL Index, SQL Optimization, SQL Performance, SQL Query, SQL Server, SQL Server Management Studio, SQL Tips and Tricks, SQL Utility, T SQL, Technology

    Read the article

  • SQL SERVER – Difference Between DATETIME and DATETIME2 – WITH GETDATE

    - by pinaldave
    Earlier I wrote blog post SQL SERVER – Difference Between GETDATE and SYSDATETIME which inspired me to write SQL SERVER – Difference Between DATETIME and DATETIME2. Now earlier two blog post inspired me to write this blog post (and 4 emails and 3 reads from readers). I previously populated DATETIME and DATETIME2 field with SYSDATETIME, which gave me very different behavior as SYSDATETIME was rounded up/down for the DATETIME datatype. I just ran the same experiment but instead of populating SYSDATETIME in this script I will be using GETDATE function. DECLARE @Intveral INT SET @Intveral = 10000 CREATE TABLE #TimeTable (FirstDate DATETIME, LastDate DATETIME2) WHILE (@Intveral > 0) BEGIN INSERT #TimeTable (FirstDate, LastDate) VALUES (GETDATE(), GETDATE()) SET @Intveral = @Intveral - 1 END GO SELECT COUNT(DISTINCT FirstDate) D_FirstDate, COUNT(DISTINCT LastDate) D_LastDate FROM #TimeTable GO SELECT DISTINCT a.FirstDate, b.LastDate FROM #TimeTable a INNER JOIN #TimeTable b ON a.FirstDate = b.LastDate GO SELECT * FROM #TimeTable GO DROP TABLE #TimeTable GO Let us run above script and observe the results. You will find that the values of GETDATE which is populated in both the columns FirstDate and LastDate are very much same. This is because GETDATE is of datatype DATETIME and the precision of the GETDATE is smaller than DATETIME2 there is no rounding happening. In other word, this experiment is pointless. I have included this as I got 4 emails and 3 twitter questions on this subject. If your datatype of variable is smaller than column datatype there is no manipulation of data, if data type of variable is larger than column datatype the data is rounded. Reference: Pinal Dave (http://www.SQLAuthority.com) Filed under: Pinal Dave, SQL, SQL Authority, SQL DateTime, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology

    Read the article

< Previous Page | 120 121 122 123 124 125 126 127 128 129 130 131  | Next Page >