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  • Logs are written to *.log.1 instead of *.log

    - by funkadelic
    For some reason my log files are writing to the *.log.1 files instead of the *.log files, e.g. for my Postfix log files it is writing to /var/log/mail.log.1 and not /var/log/mail.log as expected. Same goes for mail.err. It looks like it's also doing it for auth.log and syslog. Here is a ls -lt snippet of my /var/log directory, showing the more recently touched log files in reverse chronological order -rw-r----- 1 syslog adm 4608882 Dec 18 12:12 auth.log.1 -rw-r----- 1 syslog adm 4445258 Dec 18 12:12 syslog.1 -rw-r----- 1 syslog adm 2687708 Dec 18 12:11 mail.log.1 -rw-r----- 1 root adm 223033 Dec 18 12:04 denyhosts -rw-r--r-- 1 root root 56631 Dec 18 11:40 dpkg.log -rw-rw-r-- 1 root utmp 292584 Dec 18 11:39 lastlog -rw-rw-r-- 1 root utmp 9216 Dec 18 11:39 wtmp ... And ls -l mail.log*: -rw-r----- 1 syslog adm 0 Dec 16 06:31 mail.log -rw-r----- 1 syslog adm 2699809 Dec 18 12:28 mail.log.1 -rw-r----- 1 syslog adm 331704 Dec 9 06:45 mail.log.2.gz -rw-r----- 1 syslog adm 235751 Dec 2 06:40 mail.log.3.gz Is there something that is misconfigured? I tried restarting postfix and it still wrote to mail.log.1 afterwards (same with a postix stop; postfix start, too).

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  • Windows 7 extremely slow login, exchange performance, printer enumeration, etc...

    - by Jeff
    Background: I have a fresh copy of Windows 7 Professional x64 on a Dell Latitude E6500. The laptop has 8GB RAM, 250GB drive, and all Intel peripherals (net/wifi/graphics). All available Windows updates, as well as hardware drivers are installed. The IT folks where I work joined the computer to our Windows 2003-based Active Directory domain. There are no errors in any logs that we've looked at, and Group Policy templates appear to have applied properly. Problem: Every time I turn on or reboot the computer, it takes between 2 to 10 (all times are actual) minutes after successfully typing my username/password to get to my desktop. My login script does not always run. Sometimes I get a black screen, and a couple of minutes later the login script will pop up and take up to 10 minutes to complete. I can get around this by hitting cntrl-shift-esc and running explorer.exe from the Task Manager. The login script continues to hang, but I can minimize it and go on about my business. Either way, it generally throws errors prior to completing. I often get slow or failed connectivity to Exchange via Outlook. When I bring up printer dialogs, they take several minutes to populate, and block the calling app while doing so. Copies to SMB shares are very slow. On my home network, everything works fine. On both the work network and home network, I can use remote internet resources just fine. Web pages pull up, remote VPN's are fine, I can max out bandwidth on SpeakEasy Speed Test. I can get almost max bandwidth transferring FTP/HTTP over a LAN. Another symptom of the problem is that when I first log in, the work network shows as "Identifying" for a long time in the Network and Sharing Center, and will often then change to the name of the work domain, but say "Unauthenticated Network". Note that this computer previously ran Windows Vista with none of these problems. Attempts to Fix: Installed the Win7 admin pack Uninstalled/reinstalled all hardware drivers Verified Active Directory DNS settings (Vista works relatively well on the same network) Reset all TCP/IP settings on all adapters using the netsh commands to do so Disabled ipv6 on all adapters Disable wifi adapter while on work network Locked the network card to 100/Full, 1000/Full; also tried Auto Added various important addresses to hosts file (exchange, dns, ad) -- removed when didn't help My background is a jpeg (sounds unrelated but there is apparently a win7 login bug related to solid color background) More I have forgotten The IT staff at my company indicated they believe this is due to having Windows 2003 AD servers and not having any Windows 2008 R2 AD servers. Other than that, they have no advice or assistance to offer other than a rebuild (already tried that once with similar symptoms), or downgrade to Vista. Any thoughts out there?

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  • SQL SERVER – Log File Growing for Model Database – model Database Log File Grew Too Big

    - by pinaldave
    After reading my earlier article SQL SERVER – master Database Log File Grew Too Big, I received an email recently from another reader asking why does the log file of model database grow every day when he is not carrying out any operation in the model database. As per the email, he is absolutely sure that he is doing nothing on his model database; he had used policy management to catch any T-SQL operation in the model database and there were none. This was indeed surprising to me. I sent a request to access to his server, which he happily agreed for and within a min, we figured out the issue. He was taking the backup of the model database every day taking the database backup every night. When I explained the same to him, he did not believe it; so I quickly wrote down the following script. The results before and after the usage of the script were very clear. What is a model database? The model database is used as the template for all databases created on an instance of SQL Server. Any object you create in the model database will be automatically created in subsequent user database created on the server. NOTE: Do not run this in production environment. During the demo, the model database was in full recovery mode and only full backup operation was performed (no log backup). Before Backup Script Backup Script in loop DECLARE @FLAG INT SET @FLAG = 1 WHILE(@FLAG < 1000) BEGIN BACKUP DATABASE [model] TO  DISK = N'D:\model.bak' SET @FLAG = @FLAG + 1 END GO After Backup Script Why did this happen? The model database was in full recovery mode and taking full backup is logged operation. As there was no log backup and only full backup was performed on the model database, the size of the log file kept growing. Resolution: Change the backup mode of model database from “Full Recovery” to “Simple Recovery.”. Take full backup of the model database “only” when you change something in the model database. Let me know if you have encountered a situation like this? If so, how did you resolve it? It will be interesting to know about your experience. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Backup and Restore, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Webinar: MySQL Enterprise Backup - Online "Hot" Backup for MySQL

    - by mike.frank(at)oracle.com
    Online backup has been one of the most requested features for MySQL. With MySQL Enterprise Backup, developers and DBAs have tools they need to safely and rapidly backup and restore their databases. In this webinar we will go into the advantages of Hot "Online" backups. We will show how MySQL Enterprise Backup supports full, incremental, partial, and compressed backups that allow you to perform consistent Point-in-Time Recovery, as well as saving both time and money.In this Free Webinar you will learn:    * Backup Strategies & Methods    * Comparison of backup types for MySQL    * MySQL Enterprise Backup: Features    * MySQL Enterprise Backup  Performance    * MySQL Enterprise Backup: Architecture    * MySQL Enterprise Backup: How it Works    * MySQL Enterprise Backup: Script ExamplesEnglish WebinarWhoMike Frank and Alex Roedling WhenThursday, January 20, 2011: 09:00 Pacific time (English)Italian WebinarLuca Olivari Thursday, January 20, 2011: 10:00 Central European time (Italian)Register now: English, Italian.On demand French and German versions available as well.Related articles    * Introducing our "Hot" MySQL Enterprise Backup (blogs.oracle.com)

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  • Get The Most From MySQL Database With MySQL Performance Tuning Training

    - by Antoinette O'Sullivan
    Get the most from MySQL Server's top-level performance by improving your understanding of perforamnce tuning techniques. MySQL Performance Tuning Class In this 4 day class, you'll learn practical, safe, highly efficient ways to optimize performance for the MySQL Server. You can take this class as: Training-on-Demand: Start training within 24 hours of registering and follow the instructor-led lecture material through streaming video at your own pace. Schedule time lab-time to perform the hands-on exercises at your convenience. Live-Virtual Class: Follow the live instructor led class from your own desk - no travel required. There are already a range of events on the schedule to suit different timezones and with delivery in languages including English and German. In-Class Event: Travel to a training center to follow this class. For more information on this class, to see the schedule or register interest in additional events, go to http://oracle.com/education/mysql Troubleshooting MySQL Performance with Sveta Smirnova  During this one-day, live-virtual event, you get a unique opportunity to hear Sveta Smirnova, author of MySQL Troubleshooting, share her indepth experience of identifying and solving performance problems with a MySQL Database. And you can benefit from this opportunity without incurring any travel costs! Dimitri's Blog If MySQL Performance is a topic that interests you, then you should be following Dimitri Kravtchuk's blog. For more information on any aspect of the Authentic MySQL Curriculum, go to http://oracle.com/education/mysql.

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  • MySQL – Scalability on Amazon RDS: Scale out to multiple RDS instances

    - by Pinal Dave
    Today, I’d like to discuss getting better MySQL scalability on Amazon RDS. The question of the day: “What can you do when a MySQL database needs to scale write-intensive workloads beyond the capabilities of the largest available machine on Amazon RDS?” Let’s take a look. In a typical EC2/RDS set-up, users connect to app servers from their mobile devices and tablets, computers, browsers, etc.  Then app servers connect to an RDS instance (web/cloud services) and in some cases they might leverage some read-only replicas.   Figure 1. A typical RDS instance is a single-instance database, with read replicas.  This is not very good at handling high write-based throughput. As your application becomes more popular you can expect an increasing number of users, more transactions, and more accumulated data.  User interactions can become more challenging as the application adds more sophisticated capabilities. The result of all this positive activity: your MySQL database will inevitably begin to experience scalability pressures. What can you do? Broadly speaking, there are four options available to improve MySQL scalability on RDS. 1. Larger RDS Instances – If you’re not already using the maximum available RDS instance, you can always scale up – to larger hardware.  Bigger CPUs, more compute power, more memory et cetera. But the largest available RDS instance is still limited.  And they get expensive. “High-Memory Quadruple Extra Large DB Instance”: 68 GB of memory 26 ECUs (8 virtual cores with 3.25 ECUs each) 64-bit platform High I/O Capacity Provisioned IOPS Optimized: 1000Mbps 2. Provisioned IOPs – You can get provisioned IOPs and higher throughput on the I/O level. However, there is a hard limit with a maximum instance size and maximum number of provisioned IOPs you can buy from Amazon and you simply cannot scale beyond these hardware specifications. 3. Leverage Read Replicas – If your application permits, you can leverage read replicas to offload some reads from the master databases. But there are a limited number of replicas you can utilize and Amazon generally requires some modifications to your existing application. And read-replicas don’t help with write-intensive applications. 4. Multiple Database Instances – Amazon offers a fourth option: “You can implement partitioning,thereby spreading your data across multiple database Instances” (Link) However, Amazon does not offer any guidance or facilities to help you with this. “Multiple database instances” is not an RDS feature.  And Amazon doesn’t explain how to implement this idea. In fact, when asked, this is the response on an Amazon forum: Q: Is there any documents that describe the partition DB across multiple RDS? I need to use DB with more 1TB but exist a limitation during the create process, but I read in the any FAQ that you need to partition database, but I don’t find any documents that describe it. A: “DB partitioning/sharding is not an official feature of Amazon RDS or MySQL, but a technique to scale out database by using multiple database instances. The appropriate way to split data depends on the characteristics of the application or data set. Therefore, there is no concrete and specific guidance.” So now what? The answer is to scale out with ScaleBase. Amazon RDS with ScaleBase: What you get – MySQL Scalability! ScaleBase is specifically designed to scale out a single MySQL RDS instance into multiple MySQL instances. Critically, this is accomplished with no changes to your application code.  Your application continues to “see” one database.   ScaleBase does all the work of managing and enforcing an optimized data distribution policy to create multiple MySQL instances. With ScaleBase, data distribution, transactions, concurrency control, and two-phase commit are all 100% transparent and 100% ACID-compliant, so applications, services and tooling continue to interact with your distributed RDS as if it were a single MySQL instance. The result: now you can cost-effectively leverage multiple MySQL RDS instance to scale out write-intensive workloads to an unlimited number of users, transactions, and data. Amazon RDS with ScaleBase: What you keep – Everything! And how does this change your Amazon environment? 1. Keep your application, unchanged – There is no change your application development life-cycle at all.  You still use your existing development tools, frameworks and libraries.  Application quality assurance and testing cycles stay the same. And, critically, you stay with an ACID-compliant MySQL environment. 2. Keep your RDS value-added services – The value-added services that you rely on are all still available. Amazon will continue to handle database maintenance and updates for you. You can still leverage High Availability via Multi A-Z.  And, if it benefits youra application throughput, you can still use read replicas. 3. Keep your RDS administration – Finally the RDS monitoring and provisioning tools you rely on still work as they did before. With your one large MySQL instance, now split into multiple instances, you can actually use less expensive, smallersmaller available RDS hardware and continue to see better database performance. Conclusion Amazon RDS is a tremendous service, but it doesn’t offer solutions to scale beyond a single MySQL instance. Larger RDS instances get more expensive.  And when you max-out on the available hardware, you’re stuck.  Amazon recommends scaling out your single instance into multiple instances for transaction-intensive apps, but offers no services or guidance to help you. This is where ScaleBase comes in to save the day. It gives you a simple and effective way to create multiple MySQL RDS instances, while removing all the complexities typically caused by “DIY” sharding andwith no changes to your applications . With ScaleBase you continue to leverage the AWS/RDS ecosystem: commodity hardware and value added services like read replicas, multi A-Z, maintenance/updates and administration with monitoring tools and provisioning. SCALEBASE ON AMAZON If you’re curious to try ScaleBase on Amazon, it can be found here – Download NOW. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: MySQL, PostADay, SQL, SQL Authority, SQL Optimization, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • MySQL – How to Find mysqld.exe with Command Prompt – Fix: ‘mysql’ is not recognized as an internal or external command, operable program or batch file

    - by Pinal Dave
    One of the most popular question I get after watching my MySQL courses on Pluralsight is that beginning users are not able to find where they have installed MySQL Server. The error they receive is as follows when they type mysqld command on their default command line. ‘mysql‘ is not recognized as an internal or external command, operable program or batch file. This error comes up if user try to execute mysqld command on default command prompt. The user should execute this command where mysql.exe file exists.  If you are using Windows Explorer you can easily search on your drive mysqld.exe and find the location of the file and execute the above command there. However, if you want to find out with command prompt the location of mysqld.exe file you can follow the direction here. Step 1: Open a command prompt Open command prompt from Start >> Run >> cmd >> enter Step 2: Change directory You need to change the default directory to root directory, hence type cd\ command on the prompt to change the default directory to c:\ . Here we are assuming that you have installed MySQL on your c: drive. If you have installed it on any other drive change the drive to that letter. Step 3: Search Drive Type the command dir mysqld.exe /s /p on the command prompt. It will search your directories and will list the directory where mysqld.exe is located. Step 4: Change Directory Now once again change your command prompt file location to the folder where your mysqld.exe is located. In my case it is located here in folder C:\Program Files\MySQL\MySQL Server 5.6\bin hence I will run following command: cd C:\Program Files\MySQL\MySQL Server 5.6\bin . Step 5: Execute mysqld.exe Now you can once again mysqld.exe on your command prompt. You can use this method to search pretty much any file with the help of command prompt. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: MySQL, PostADay, SQL, SQL Authority, SQL Query, SQL Tips and Tricks, T SQL

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  • Learn about MySQL with the Authentic MySQL for Beginners course

    - by Antoinette O'Sullivan
    Learn about the MySQL Server and other MySQL products by taking the authentic MySQL for Beginners course. This course covers all the basics from MySQL download and installation, to relational database concepts and database design. This course is your first step to becoming a MySQL administrator. You can take this course through one of the following delivery types: Training-on-Demand: Start the class from your desk, at your base and within 24 hrs of registering. Read Ben Krug on Day 3 of his experience taking the MySQL for Beginners course Training-on-Demand option. Live-Virtual Class: Attend this live class from your own office - no travel required. Choose from a selection of events on the schedule to suit different timezones. Delivery languages include English and German. In-Class event: Attend this class in an education center. Events already on the schedule include:  Location  Date  Delivery Language  Mechelen, Belgium  14 January 2013  English  London, England  5 March 2013  English  Hamburg, Germany  25 March 2013  German  Munich, Germany  3 June 2013  German  Budapest, Hungary  5 February 2013  Hungary  Milan, Italy  11 February 2013  Italian  Rome, Italy  4 March 2013  Italian  Riga, Latvia  18 February 2013  Latvian  Amsterdam, Netherlands  21 May 2013  Dutch  Nieuwegein, Netherlands  18 February 2013  Dutch  Warsaw, Poland  18 February 2013  Polish  Lisbon, Portugal  25 March 2013  European Portugese  Porto, Portugal  25 March 2013  European Portugese  Barcelona, Spain  11 February 2013  Spanish  Madrid, Spain  22 April 2013  Spanish  Nairobi, Kenya  14 January 2013  English  Capetown, South Africa  22 July 2013  English  Pretoria, South Africa  22 April 2013  English  Petaling Jaya, Malaysia  28 January 2013  English  Ottawa, Canada  25 March 2013  English  Toronto, Canada  25 March 2013  English  Montreal, Canada 25 March 2013   English Mexico City, Mexico  14 January 2013   Spanish  San Pedro Garza Garcia, Mexico  5 February 2013  Spanish  Sao Paolo, Brazil  29 January 2013  Brazilian Portugese For more information on this or other courses on the authentic MySQL Curriculum, go to http://oracle.com/education/mysql. Note, many organizations deploy both Oracle Database and MySQL side by side to serve different needs, and as a database professional you can find training courses on both topics at Oracle University! Check out the upcoming Oracle Database training courses and MySQL training courses. Even if you're only managing Oracle Databases at this point of time, getting familiar with MySQL will broaden your career path with growing job demand.

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  • Mysql 5.5 server not working

    - by rajesh
    I had Ubuntu 14.04 installed on my system. I recently updated ubuntu and now my mysql does not start and workbench says that mysql server has been stopped. And when i try to start it gives me the following error 2014-08-12 23:02:04 - Checking server status... 2014-08-12 23:02:04 - Trying to connect to MySQL... 2014-08-12 23:02:04 - Can't connect to MySQL server on '127.0.0.1' (111) (2003) 2014-08-12 23:02:04 - Assuming server is not running 2014-08-12 23:02:04 - Server start done. 2014-08-12 23:02:04 - Checking server status... 2014-08-12 23:02:04 - Trying to connect to MySQL... 2014-08-12 23:02:04 - Can't connect to MySQL server on '127.0.0.1' (111) (2003) 2014-08-12 23:02:04 - Assuming server is not running And also when i try to login using terminal (mysql -u root -p <password>) i get the following error: ERROR 2002 (HY000): Can't connect to local MySQL server through socket '/var/run/mysqld/mysqld.sock' (2) I have also tried to reinstall Ubuntu but i am unable to do so. Gives me the following error: Reading package lists... Done Building dependency tree Reading state information... Done mysql-server-5.5 is already the newest version. 0 upgraded, 0 newly installed, 0 to remove and 4 not upgraded. I have data which i have not taken backup of as i am unable to log into the server. I am a newbie please help me resolve this issue without losing my data. Awaiting for your earliest response. Below is the error message from cat /var/log/mysql/error.log 140813 21:22:50 [Warning] Using unique option prefix myisam-recover instead of myisam-recover-options is deprecated and will be removed in a future release. Please use the full name instead. 140813 21:22:50 [Note] Plugin 'FEDERATED' is disabled. 140813 21:22:50 InnoDB: The InnoDB memory heap is disabled 140813 21:22:50 InnoDB: Mutexes and rw_locks use GCC atomic builtins 140813 21:22:50 InnoDB: Compressed tables use zlib 1.2.8 140813 21:22:50 InnoDB: Using Linux native AIO 140813 21:22:50 InnoDB: Initializing buffer pool, size = 128.0M 140813 21:22:50 InnoDB: Completed initialization of buffer pool 140813 21:22:50 InnoDB: highest supported file format is Barracuda. 140813 21:22:50 InnoDB: Waiting for the background threads to start 140813 21:22:51 InnoDB: 5.5.38 started; log sequence number 80726593570 140813 21:22:51 [Note] Server hostname (bind-address): '127.0.0.1'; port: 3306 140813 21:22:51 [Note] - '127.0.0.1' resolves to '127.0.0.1'; 140813 21:22:51 [Note] Server socket created on IP: '127.0.0.1'. 140813 21:22:51 [ERROR] Fatal error: Can't open and lock privilege tables: Incorrect file format 'user'

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  • MySQL is killing the server IO.

    - by OneOfOne
    I manage a fairly large/busy vBulletin forums (running on gigenet cloud), the database is ~ 10 GB (~9 milion posts, ~60 queries per second), lately MySQL have been grinding the disk like there's no tomorrow according to iotop and slowing the site. The last idea I can think of is using replication, but I'm not sure how much that would help and worried about database sync. I'm out of ideas, any tips on how to improve the situation would be highly appreciated. Specs : Debian Lenny 64bit ~12Ghz (6x2GHz) CPU, 7520gb RAM, 160gb disk. Kernel : 2.6.32-4-amd64 mysqld Ver 5.1.54-0.dotdeb.0 for debian-linux-gnu on x86_64 ((Debian)) Other software: vBulletin 3.8.4 memcached 1.2.2 PHP 5.3.5-0.dotdeb.0 (fpm-fcgi) (built: Jan 7 2011 00:07:27) lighttpd/1.4.28 (ssl) - a light and fast webserver PHP and vBulletin are configured to use memcached. MySQL Settings : [mysqld] key_buffer = 128M max_allowed_packet = 16M thread_cache_size = 8 myisam-recover = BACKUP max_connections = 1024 query_cache_limit = 2M query_cache_size = 128M expire_logs_days = 10 max_binlog_size = 100M key_buffer_size = 128M join_buffer_size = 8M tmp_table_size = 16M max_heap_table_size = 16M table_cache = 96 Other : From the cloud's IO chart, we're averaging 100mb/s read. > vmstat procs -----------memory---------- ---swap-- -----io---- -system-- ----cpu---- r b swpd free buff cache si so bi bo in cs us sy id wa 9 0 73140 36336 8968 1859160 0 0 42 15 3 2 6 1 89 5 > /etc/init.d/mysql status Threads: 49 Questions: 252139 Slow queries: 164 Opens: 53573 Flush tables: 1 Open tables: 337 Queries per second avg: 61.302. moved from superuser

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  • MySQL – Introduction to User Defined Variables

    - by Pinal Dave
    MySQL supports user defined variables to have some data that can be used later part of your query. You can save a value to a variable using a SELECT statement and later you can access its value. Unlike other RDBMSs, you do not need to declare the data type for a variable. The data type is automatically assumed when you assign a value. A value can be assigned to a variable using a SET command as shown below SET @server_type:='MySQL'; When you above command is executed, the value, MySQL is assigned to the variable called @server_type. Now you can use this variable in the later part of the code. Suppose if you want to display the value, you can use SELECT statement. SELECT @server_type; The result is MySQL. Once the value is assigned it remains for the entire session until changed by the later statements. So unlike SQL Server, you do not need to have this as part the execution code every time. (Because in SQL Server, the variables are execution scoped and dropped after the execution). You can give column name as below SELECT @server_type AS server_type; You can also SELECT statement to DECLARE and SELECT the values for a variable. SELECT @message:='Welcome to MySQL' AS MESSAGE; The result is Message -------- Welcome to MySQL You can make use of variables to effectively apply many logics. One of the useful method is to generate the row number as shown in this post MySQL – Generating Row Number for Each Row using Variable. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: MySQL, PostADay, SQL, SQL Authority, SQL Query, SQL Tips and Tricks, T SQL

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  • Slow MySQL Query not using filesort

    - by Canadaka
    I have a query on my homepage that is getting slower and slower as my database table grows larger. tablename = tweets_cache rows = 572,327 this is the query I'm currently using that is slow, over 5 seconds. SELECT * FROM tweets_cache t WHERE t.province='' AND t.mp='0' ORDER BY t.published DESC LIMIT 50; If I take out either the WHERE or the ORDER BY, then the query is super fast 0.016 seconds. I have the following indexes on the tweets_cache table. PRIMARY published mp category province author So i'm not sure why its not using the indexes since mp, provice and published all have indexes? Doing a profile of the query shows that its not using an index to sort the query and is using filesort which is really slow. possible_keys = mp,province Extra = Using where; Using filesort I tried adding a new multie-colum index with "profiles & mp". The explain shows that this new index listed under "possible_keys" and "key", but the query time is unchanged, still over 5 seconds. Here is a screenshot of the profiler info on the query. http://i355.photobucket.com/albums/r469/canadaka_bucket/slow_query_profile.png Something weird, I made a dump of my database to test on my local desktop so i don't screw up the live site. The same query on my local runs super fast, milliseconds. So I copied all the same mysql startup variables from the server to my local to make sure there wasn't some setting that might be causing this. But even after that the local query runs super fast, but the one on the live server is over 5 seconds. My database server is only using around 800MB of the 4GB it has available. here are the related my.ini settings i'm using default-storage-engine = MYISAM max_connections = 800 skip-locking key_buffer = 512M max_allowed_packet = 1M table_cache = 512 sort_buffer_size = 4M read_buffer_size = 4M read_rnd_buffer_size = 16M myisam_sort_buffer_size = 64M thread_cache_size = 8 query_cache_size = 128M # Try number of CPU's*2 for thread_concurrency thread_concurrency = 8 # Disable Federated by default skip-federated key_buffer = 512M sort_buffer_size = 256M read_buffer = 2M write_buffer = 2M key_buffer = 512M sort_buffer_size = 256M read_buffer = 2M write_buffer = 2M

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  • Can't install MySQL

    - by James Marthenal
    I have a Debian machine that I have previously installed MySQL on. In an attempt to delete it, I stupidly deleted the directories/files /etc/mysql/, /etc/init.d/mysql, /usr/lib/mysql/, /var/lib/mysql/. I then later did sudo apt-get purge mysql-server mysql-server-5.0. Now, when I try to install mysql-server, I get: $ sudo apt-get install mysql-server Reading package lists... Done Building dependency tree Reading state information... Done The following extra packages will be installed: mysql-server-5.0 The following NEW packages will be installed: mysql-server mysql-server-5.0 0 upgraded, 2 newly installed, 0 to remove and 0 not upgraded. Need to get 0B/27.4MB of archives. After this operation, 86.6MB of additional disk space will be used. Do you want to continue [Y/n]? y WARNING: The following packages cannot be authenticated! mysql-server-5.0 mysql-server Authentication warning overridden. Preconfiguring packages ... Can't exec "/tmp/mysql-server-5.0.config.122781": Permission denied at /usr/share/perl/5.10/IPC/Open3.pm line 168. open2: exec of /tmp/mysql-server-5.0.config.122781 configure failed at /usr/share/perl5/Debconf/ConfModule.pm line 59 mysql-server-5.0 failed to preconfigure, with exit status 255 Selecting previously deselected package mysql-server-5.0. (Reading database ... 158138 files and directories currently installed.) Unpacking mysql-server-5.0 (from .../mysql-server-5.0_5.0.51a-24+lenny5_amd64.deb) ... Selecting previously deselected package mysql-server. Unpacking mysql-server (from .../mysql-server_5.0.51a-24+lenny5_all.deb) ... Processing triggers for man-db ... Setting up mysql-server-5.0 (5.0.51a-24+lenny5) ... Stopping MySQL database server: mysqld. 110206 19:31:13 [ERROR] /usr/sbin/mysqld: Can't find file: './mysql/user.frm' (errno: 13) 110206 19:31:13 [ERROR] /usr/sbin/mysqld: Can't find file: './mysql/user.frm' (errno: 13) ERROR: 1017 Can't find file: './mysql/user.frm' (errno: 13) 110206 19:31:13 [ERROR] Aborting 110206 19:31:13 [Note] /usr/sbin/mysqld: Shutdown complete /etc/init.d/mysql: WARNING: /etc/mysql/my.cnf cannot be read. See README.Debian.gz (warning). Starting MySQL database server: mysqld . . . . . . . . . . . . . . failed! invoke-rc.d: initscript mysql, action "start" failed. dpkg: error processing mysql-server-5.0 (--configure): subprocess post-installation script returned error exit status 1 dpkg: dependency problems prevent configuration of mysql-server: mysql-server depends on mysql-server-5.0; however: Package mysql-server-5.0 is not configured yet. dpkg: error processing mysql-server (--configure): dependency problems - leaving unconfigured Errors were encountered while processing: mysql-server-5.0 mysql-server E: Sub-process /usr/bin/dpkg returned an error code (1) I have tried to search for a solution via Google and have found lots of suggestions for this problem, but ultimately it seems like the problem is that by deleting the files manually, I messed up the mysql-common package. I have tried to do sudo apt-get install --reinstall mysql-common followed by installing mysql-server, but it does the exact same thing. I previously had MySQL working great, I just want to get it back to that state. Thanks so much for your help.

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  • MySQL 5.5

    - by trond-arne.undheim
    New performance and scalability enhancements, continued Investment in MySQL (see press release). "The latest release of MySQL further exemplifies Oracle's commitment to the MySQL community and investment in delivering rapid innovation and enhancements to the MySQL platform" said Edward Screven, Oracle's Chief Corporate Architect. MySQL is integral to Oracle's complete, open and integrated strategy. The MySQL 5.5 Community Edition, which is licensed under the GNU General Public License (GPL), and is available for free download, includes InnoDB as the default storage engine. We cannot stress the importance of using open standards enough, whether in the context of open source or non-open source software. For more on Oracle's Open Source offering, see Oracle.com/opensource or oss.oracle.com (for developers).

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  • Replicate between mysql 5.0.xx community and enterprise edition over ssh

    - by Arlukin
    I'm trying to setup a mysql replication over an SSH tunnel. The odd thing about this setup is that I have one master with mysql 5.0.60sp1-enterprise-gpl-log and one slave with mysql 5.0.67-community-log. Could it be so that it's not possible to replicate between community and enterprise edition? As you can see in my log below, it's possible to login on the remote server with the mysql client. But the replication get "Can't connect to MySQL server on '127.0.0.1' (13)" Is it any log file I have forgotten to look in, to get more info? [root@mysql1-av ~]# mysql -uroot -p Enter password: Welcome to the MySQL monitor. Commands end with ; or \g. Your MySQL connection id is 73 Server version: 5.0.67-community-log MySQL Community Edition (GPL) Type 'help;' or '\h' for help. Type '\c' to clear the buffer. The version of the slave mysql [root@mysql1-av ~]# autossh -f -M 20001 -L 3307:10.200.200.200:3306 [email protected] -N [root@mysql1-av ~]# mysql -h127.0.0.1 --port 3307 -uroot -p Enter password: Welcome to the MySQL monitor. Commands end with ; or \g. Your MySQL connection id is 5189 Server version: 5.0.60sp1-enterprise-gpl-log MySQL Enterprise Server (GPL) Type 'help;' or '\h' for help. Type '\c' to clear the buffer. mysql> Aborted Login to the master mysql with the mysql client over the ssh tunnel. [root@mysql1-av ~]# mysql -uroot -p Enter password: Welcome to the MySQL monitor. Commands end with ; or \g. Your MySQL connection id is 75 Server version: 5.0.67-community-log MySQL Community Edition (GPL) Type 'help;' or '\h' for help. Type '\c' to clear the buffer. mysql> change master to master_host='127.0.0.1', MASTER_PORT=3307, master_user='xxxx', master_password='xxxx', master_log_file='bin.000001'; Query OK, 0 rows affected (0.00 sec) mysql> start slave; Query OK, 0 rows affected (0.00 sec) mysql> show slave status \G *************************** 1. row *************************** Slave_IO_State: Connecting to master Master_Host: 127.0.0.1 Master_User: replNSG Master_Port: 3307 Connect_Retry: 60 Master_Log_File: bin.000001 Read_Master_Log_Pos: 4 Relay_Log_File: relay.000001 Relay_Log_Pos: 98 Relay_Master_Log_File: bin.000001 Slave_IO_Running: No Slave_SQL_Running: Yes Replicate_Do_DB: Replicate_Ignore_DB: Replicate_Do_Table: Replicate_Ignore_Table: Replicate_Wild_Do_Table: Replicate_Wild_Ignore_Table: Last_Errno: 0 Last_Error: Skip_Counter: 0 Exec_Master_Log_Pos: 4 Relay_Log_Space: 98 Until_Condition: None Until_Log_File: Until_Log_Pos: 0 Master_SSL_Allowed: No Master_SSL_CA_File: Master_SSL_CA_Path: Master_SSL_Cert: Master_SSL_Cipher: Master_SSL_Key: Seconds_Behind_Master: NULL 1 row in set (0.00 sec) Start the replication, but it breaks on IO. [root@mysql1-av ~]# tail /var/log/mysqld.log 120921 22:17:59 [Note] Slave I/O thread killed while connecting to master 120921 22:17:59 [Note] Slave I/O thread exiting, read up to log 'bin.000001', position 4 120921 22:17:59 [Note] Error reading relay log event: slave SQL thread was killed 120921 22:29:36 [Note] Slave SQL thread initialized, starting replication in log 'bin.000001' at position 4, relay log '/var/lib/mysql/relay.000001' position: 4 120921 22:29:36 [ERROR] Slave I/O thread: error connecting to master '[email protected]:3307': Error: 'Can't connect to MySQL server on '127.0.0.1' (13)' errno: 2003 retry-time: 60 retries: 86400 Because it can't connect to the master server.

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  • Mysql 100% CPU + Slow query

    - by felipeclopes
    I'm using the RDS database from amazon with a some very big tables, and yesterday I started to face 100% CPU utilisation on the server and a bunch of slow query logs that were not happening before. I tried to check the queries that were running and faced this result from the explain command +----+-------------+-------------------------------+--------+----------------------------------------------------------------------------------------------+---------------------------------------+---------+-----------------------------------------------------------------+------+----------------------------------------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+-------------+-------------------------------+--------+----------------------------------------------------------------------------------------------+---------------------------------------+---------+-----------------------------------------------------------------+------+----------------------------------------------+ | 1 | SIMPLE | businesses | const | PRIMARY | PRIMARY | 4 | const | 1 | Using index; Using temporary; Using filesort | | 1 | SIMPLE | activities_businesses | ref | PRIMARY,index_activities_users_on_business_id,index_tweets_users_on_tweet_id_and_business_id | index_activities_users_on_business_id | 9 | const | 2252 | Using index condition; Using where | | 1 | SIMPLE | activities_b_taggings_975e9c4 | ref | taggings_idx | taggings_idx | 782 | const,myapp_production.activities_businesses.id,const | 1 | Using index condition; Using where | | 1 | SIMPLE | activities | eq_ref | PRIMARY,index_activities_on_created_at | PRIMARY | 8 | myapp_production.activities_businesses.activity_id | 1 | Using where | +----+-------------+-------------------------------+--------+----------------------------------------------------------------------------------------------+---------------------------------------+---------+-----------------------------------------------------------------+------+----------------------------------------------+ Also checkin in the process list, I got something like this: +----+-----------------+-------------------------------------+----------------------------+---------+------+--------------+------------------------------------------------------------------------------------------------------+ | Id | User | Host | db | Command | Time | State | Info | +----+-----------------+-------------------------------------+----------------------------+---------+------+--------------+------------------------------------------------------------------------------------------------------+ | 1 | my_app | my_ip:57152 | my_app_production | Sleep | 0 | | NULL | | 2 | my_app | my_ip:57153 | my_app_production | Sleep | 2 | | NULL | | 3 | rdsadmin | localhost:49441 | NULL | Sleep | 9 | | NULL | | 6 | my_app | my_other_ip:47802 | my_app_production | Sleep | 242 | | NULL | | 7 | my_app | my_other_ip:47807 | my_app_production | Query | 231 | Sending data | SELECT my_fields... | | 8 | my_app | my_other_ip:47809 | my_app_production | Query | 231 | Sending data | SELECT my_fields... | | 9 | my_app | my_other_ip:47810 | my_app_production | Query | 231 | Sending data | SELECT my_fields... | | 10 | my_app | my_other_ip:47811 | my_app_production | Query | 231 | Sending data | SELECT my_fields... | | 11 | my_app | my_other_ip:47813 | my_app_production | Query | 231 | Sending data | SELECT my_fields... | ... So based on the numbers, it looks like there is no reason to have a slow query, since the worst execution plan is the one that goes through 2k rows which is not much. Edit 1 Another information that might be useful is the slow query_log SET timestamp=1401457485; SELECT my_query... # User@Host: myapp[myapp] @ ip-10-195-55-233.ec2.internal [IP] Id: 435 # Query_time: 95.830497 Lock_time: 0.000178 Rows_sent: 0 Rows_examined: 1129387 Edit 2 After profiling, I got this result. The result have approximately 250 rows with two columns each. +----------------------+----------+ | state | duration | +----------------------+----------+ | Sending data | 272 | | removing tmp table | 0 | | optimizing | 0 | | Creating sort index | 0 | | init | 0 | | cleaning up | 0 | | executing | 0 | | checking permissions | 0 | | freeing items | 0 | | Creating tmp table | 0 | | query end | 0 | | statistics | 0 | | end | 0 | | System lock | 0 | | Opening tables | 0 | | logging slow query | 0 | | Sorting result | 0 | | starting | 0 | | closing tables | 0 | | preparing | 0 | +----------------------+----------+ Edit 3 Adding query as requested SELECT activities.share_count, activities.created_at FROM `activities_businesses` INNER JOIN `businesses` ON `businesses`.`id` = `activities_businesses`.`business_id` INNER JOIN `activities` ON `activities`.`id` = `activities_businesses`.`activity_id` JOIN taggings activities_b_taggings_975e9c4 ON activities_b_taggings_975e9c4.taggable_id = activities_businesses.id AND activities_b_taggings_975e9c4.taggable_type = 'ActivitiesBusiness' AND activities_b_taggings_975e9c4.tag_id = 104 AND activities_b_taggings_975e9c4.created_at >= '2014-04-30 13:36:44' WHERE ( businesses.id = 1 ) AND ( activities.created_at > '2014-04-30 13:36:44' ) AND ( activities.created_at < '2014-05-30 12:27:03' ) ORDER BY activities.created_at; Edit 4 There may be a chance that the indexes are not being applied due to difference in column type between the taggings and the activities_businesses, on the taggable_id column. mysql> SHOW COLUMNS FROM activities_businesses; +-------------+------------+------+-----+---------+----------------+ | Field | Type | Null | Key | Default | Extra | +-------------+------------+------+-----+---------+----------------+ | id | int(11) | NO | PRI | NULL | auto_increment | | activity_id | bigint(20) | YES | MUL | NULL | | | business_id | bigint(20) | YES | MUL | NULL | | +-------------+------------+------+-----+---------+----------------+ 3 rows in set (0.01 sec) mysql> SHOW COLUMNS FROM taggings; +---------------+--------------+------+-----+---------+----------------+ | Field | Type | Null | Key | Default | Extra | +---------------+--------------+------+-----+---------+----------------+ | id | int(11) | NO | PRI | NULL | auto_increment | | tag_id | int(11) | YES | MUL | NULL | | | taggable_id | bigint(20) | YES | | NULL | | | taggable_type | varchar(255) | YES | | NULL | | | tagger_id | int(11) | YES | | NULL | | | tagger_type | varchar(255) | YES | | NULL | | | context | varchar(128) | YES | | NULL | | | created_at | datetime | YES | | NULL | | +---------------+--------------+------+-----+---------+----------------+ So it is examining way more rows than it shows in the explain query, probably because some indexes are not being applied. Do you guys can help m with that?

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  • How to optimize this MySQL query

    - by James Simpson
    This query was working fine when the database was small, but now that there are millions of rows in the database, I am realizing I should have looked at optimizing this earlier. It is looking at over 600,000 rows and is Using where; Using temporary; Using filesort (which leads to an execution time of 5-10 seconds). It is using an index on the field 'battle_type.' SELECT username, SUM( outcome ) AS wins, COUNT( * ) - SUM( outcome ) AS losses FROM tblBattleHistory WHERE battle_type = '0' && outcome < '2' GROUP BY username ORDER BY wins DESC , losses ASC , username ASC LIMIT 0 , 50

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  • Setting up MySQL database replication [without restarting mysql]

    - by FunkyChicken
    I'm trying to setup MySQL db replication, it seems pretty straight forward. I was using this tutorial: http://www.howtoforge.com/mysql_database_replication Now I run a rather large MySQL database for a very large website, and in this tutorial it asks me to restart MySQL to apply the new settings in the /etc/my.cnf file. I'm try to avoid that step at all costs, as I know that restarting MySQL can take a few minutes on my machine (due to large logs/dbs), and I don't want any downtime. Is there a way to apply the necessary settings WITHOUT fully restarting Mysql?

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  • How To - Guide to Importing Data from a MySQL Database to Excel using MySQL for Excel

    - by Javier Treviño
    Fetching data from a database to then get it into an Excel spreadsheet to do analysis, reporting, transforming, sharing, etc. is a very common task among users. There are several ways to extract data from a MySQL database to then import it to Excel; for example you can use the MySQL Connector/ODBC to configure an ODBC connection to a MySQL database, then in Excel use the Data Connection Wizard to select the database and table from which you want to extract data from, then specify what worksheet you want to put the data into.  Another way is to somehow dump a comma delimited text file with the data from a MySQL table (using the MySQL Command Line Client, MySQL Workbench, etc.) to then in Excel open the file using the Text Import Wizard to attempt to correctly split the data in columns. These methods are fine, but involve some degree of technical knowledge to make the magic happen and involve repeating several steps each time data needs to be imported from a MySQL table to an Excel spreadsheet. So, can this be done in an easier and faster way? With MySQL for Excel you can. MySQL for Excel features an Import MySQL Data action where you can import data from a MySQL Table, View or Stored Procedure literally with a few clicks within Excel.  Following is a quick guide describing how to import data using MySQL for Excel. This guide assumes you already have a working MySQL Server instance, Microsoft Office Excel 2007 or 2010 and MySQL for Excel installed. 1. Opening MySQL for Excel Being an Excel Add-In, MySQL for Excel is opened from within Excel, so to use it open Excel, go to the Data tab located in the Ribbon and click MySQL for Excel at the far right of the Ribbon. 2. Creating a MySQL Connection (may be optional) If you have MySQL Workbench installed you will automatically see the same connections that you can see in MySQL Workbench, so you can use any of those and there may be no need to create a new connection. If you want to create a new connection (which normally you will do only once), in the Welcome Panel click New Connection, which opens the Setup New Connection dialog. Here you only need to give your new connection a distinctive Connection Name, specify the Hostname (or IP address) where the MySQL Server instance is running on (if different than localhost), the Port to connect to and the Username for the login. If you wish to test if your setup is good to go, click Test Connection and an information dialog will pop-up stating if the connection is successful or errors were found. 3.Opening a connection to a MySQL Server To open a pre-configured connection to a MySQL Server you just need to double-click it, so the Connection Password dialog is displayed where you enter the password for the login. 4. Selecting a MySQL Schema After opening a connection to a MySQL Server, the Schema Selection Panel is shown, where you can select the Schema that contains the Tables, Views and Stored Procedures you want to work with. To do so, you just need to either double-click the desired Schema or select it and click Next >. 5. Importing data… All previous steps were really the basic minimum needed to drill-down to the DB Object Selection Panel  where you can see the Database Objects (grouped by type: Tables, Views and Procedures in that order) that you want to perform actions against; in the case of this guide, the action of importing data from them. a. From a MySQL Table To import from a Table you just need to select it from the list of Database Objects’ Tables group, after selecting it you will note actions below the list become available; then click Import MySQL Data. The Import Data dialog is displayed; you can see some basic information here like the name of the Excel worksheet the data will be imported to (in the window title), the Table Name, the total Row Count and a 10 row preview of the data meant for the user to see the columns that the table contains and to provide a way to select which columns to import. The Import Data dialog is designed with defaults in place so all data is imported (all rows and all columns) by just clicking Import; this is important to minimize the number of clicks needed to get the job done. After the import is performed you will have the data in the Excel worksheet formatted automatically. If you need to override the defaults in the Import Data dialog to change the columns selected for import or to change the number of imported rows you can easily do so before clicking Import. In the screenshot below the defaults are overridden to import only the first 3 columns and rows 10 – 60 (Limit to 50 Rows and Start with Row 10). If the number of rows to be imported exceeds the maximum number of rows Excel can hold in its worksheet, a warning will be displayed in the dialog, meaning the imported number of rows will be limited by that maximum number (65,535 rows if the worksheet is in Compatibility Mode).  In the screenshot below you can see the Table contains 80,559 rows, but only 65,534 rows will be imported since the first row is used for the column names if the Include Column Names as Headers checkbox is checked. b. From a MySQL View Similar to the way of importing from a Table, to import from a View you just need to select it from the list of Database Objects’ Views group, then click Import MySQL Data. The Import Data dialog is displayed; identically to the way everything looks when importing from a table, the dialog displays the View Name, the total Row Count and the data preview grid. Since Views are really a filtered way to display data from Tables, it is actually as if we are extracting data from a Table; so the Import Data dialog is actually identical for those 2 Database Objects. After the import is performed, the data in the Excel spreadsheet looks like the following screenshot. Note that you can override the defaults in the Import Data dialog in the same way described above for importing data from Tables. Also the Compatibility Mode warning will be displayed if data exceeds the maximum number of rows explained before. c. From a MySQL Procedure Too import from a Procedure you just need to select it from the list of Database Objects’ Procedures group (note you can see Procedures here but not Functions since these return a single value, so by design they are filtered out). After the selection is made, click Import MySQL Data. The Import Data dialog is displayed, but this time you can see it looks different to the one used for Tables and Views.  Given the nature of Store Procedures, they require first that values are supplied for its Parameters and also Procedures can return multiple Result Sets; so the Import Data dialog shows the Procedure Name and the Procedure Parameters in a grid where their values are input. After you supply the Parameter Values click Call. After calling the Procedure, the Result Sets returned by it are displayed at the bottom of the dialog; output parameters and the return value of the Procedure are appended as the last Result Set of the group. You can see each Result Set is displayed as a tab so you can see a preview of the returned data.  You can specify if you want to import the Selected Result Set (default), All Result Sets – Arranged Horizontally or All Result Sets – Arranged Vertically using the Import drop-down list; then click Import. After the import is performed, the data in the Excel spreadsheet looks like the following screenshot.  Note in this example all Result Sets were imported and arranged vertically. As you can see using MySQL for Excel importing data from a MySQL database becomes an easy task that requires very little technical knowledge, so it can be done by any type of user. Hope you enjoyed this guide! Remember that your feedback is very important for us, so drop us a message: MySQL on Windows (this) Blog - https://blogs.oracle.com/MySqlOnWindows/ Forum - http://forums.mysql.com/list.php?172 Facebook - http://www.facebook.com/mysql Cheers!

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  • Problem while Installing mysql cluster

    - by Champion
    I downloaded latest mysql cluster file 64 bit (mysql-cluster-gpl-7.1.9-linux-x86_64-glibc23) from mysql site. Ran following command to install mysql server. /home/mysql_cluster/mysqlc/scripts/mysql_install_db --no-defaults --basedir=/home/mysql_cluster/mysqlc --datadir=/home/mysql_cluster/my_cluster/mysqld_data It's giving following issues. /home/mysql_cluster/mysqlc/scripts/mysql_install_db: line 245: /home/mysql_cluster/mysqlc/bin/my_print_defaults: No such file or directory Neither host 'db' nor 'localhost' could be looked up with /home/mysql_cluster/mysqlc/bin/resolveip Please configure the 'hostname' command to return a correct hostname. If you want to solve this at a later stage, restart this script with the --force option My host is pinging and hostname command gives correct hostname. I tried also with --force option force but still not working giving following issues: /home/mysql_cluster/mysqlc/scripts/mysql_install_db: line 245: /home/mysql_cluster/mysqlc/bin/my_print_defaults: No such file or directory Installing MySQL system tables... /home/mysql_cluster/mysqlc/scripts/mysql_install_db: line 393: /home/mysql_cluster/mysqlc/bin/mysqld: No such file or directory Installation of system tables failed! Examine the logs in /home/mysql_cluster/my_cluster/mysqld_data for more information. It says above files doesn't exist but this files are present checked with ls command. We are using XEN VM with 64 bit debian lenny os. How this issue can be resolved ?

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  • mysql never releases memory

    - by Ishu
    I have a production server clocking about 4 million page views per month. The server has got 8GB of RAM and mysql acts as a database. I am facing problems in handling mysql to take this load. I need to restart mysql twice a day to handle this thing. The problem with mysql is that it starts with some particular occupation, the memory consumed by mysql keeps on increasing untill it reaches the maximum it can consume and then mysql stops responding slowly or does not respond at all, which freezes the server. All my tables are indexed properly and there are no long queries. I need some one to help on how to go about debugging what to do here. All my tables are myisam. I have tried configuring the parameters key_buffer etc but to no rescue. Any sort of help is greatly appreciated. Here are some parameters which may help. mysql --version mysql Ver 14.12 Distrib 5.0.77, for redhat-linux-gnu (i686) using readline 5.1 mysql> show variables; +---------------------------------+------------------------------------------------------------+ | Variable_name | Value | +---------------------------------+------------------------------------------------------------+ | auto_increment_increment | 1 | | auto_increment_offset | 1 | | automatic_sp_privileges | ON | | back_log | 50 | | basedir | /usr/ | | bdb_cache_size | 8384512 | | bdb_home | /var/lib/mysql/ | | bdb_log_buffer_size | 262144 | | bdb_logdir | | | bdb_max_lock | 10000 | | bdb_shared_data | OFF | | bdb_tmpdir | /tmp/ | | binlog_cache_size | 32768 | | bulk_insert_buffer_size | 8388608 | | character_set_client | latin1 | | character_set_connection | latin1 | | character_set_database | latin1 | | character_set_filesystem | binary | | character_set_results | latin1 | | character_set_server | latin1 | | character_set_system | utf8 | | character_sets_dir | /usr/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 | 10 | | datadir | /var/lib/mysql/ | | 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 | | keep_files_on_create | OFF | | engine_condition_pushdown | OFF | | expire_logs_days | 0 | | flush | OFF | | flush_time | 0 | | ft_boolean_syntax | + -><()~*:""&| | | 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 | NO | | have_bdb | YES | | have_blackhole_engine | NO | | have_compress | YES | | have_crypt | YES | | have_csv | NO | | have_dynamic_loading | YES | | have_example_engine | NO | | have_federated_engine | NO | | have_geometry | YES | | have_innodb | YES | | have_isam | NO | | have_merge_engine | YES | | have_ndbcluster | NO | | have_openssl | DISABLED | | have_ssl | DISABLED | | have_query_cache | YES | | have_raid | NO | | have_rtree_keys | YES | | have_symlink | YES | | | init_connect | | | init_file | | | init_slave | | | interactive_timeout | 28800 | | join_buffer_size | 131072 | | key_buffer_size | 2621440000 | | key_cache_age_threshold | 300 | | key_cache_block_size | 1024 | | key_cache_division_limit | 100 | | language | /usr/share/mysql/english/ | | large_files_support | ON | | large_page_size | 0 | | large_pages | OFF | | lc_time_names | en_US | | license | GPL | | local_infile | ON | | locked_in_memory | OFF | | log | OFF | | log_bin | ON | | log_bin_trust_function_creators | OFF | | log_error | | | log_queries_not_using_indexes | OFF | | log_slave_updates | OFF | | log_slow_queries | ON | | log_warnings | 1 | | long_query_time | 8 | | low_priority_updates | OFF | | lower_case_file_system | OFF | | lower_case_table_names | 0 | | max_allowed_packet | 8388608 | | max_binlog_cache_size | 4294963200 | | max_binlog_size | 1073741824 | | max_connect_errors | 10 | | max_connections | 400 | | max_delayed_threads | 20 | | max_error_count | 64 | | max_heap_table_size | 16777216 | | max_insert_delayed_threads | 20 | | max_join_size | 4294967295 | | max_length_for_sort_data | 1024 | | max_prepared_stmt_count | 16382 | | max_relay_log_size | 0 | | max_seeks_for_key | 4294967295 | | max_sort_length | 1024 | | max_sp_recursion_depth | 0 | | max_tmp_tables | 32 | | max_user_connections | 0 | | max_write_lock_count | 4294967295 | | multi_range_count | 256 | | myisam_data_pointer_size | 6 | | myisam_max_sort_file_size | 2146435072 | | myisam_recover_options | OFF | | myisam_repair_threads | 1 | | myisam_sort_buffer_size | 16777216 | | 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 | 2000 | | optimizer_prune_level | 1 | | optimizer_search_depth | 62 | | pid_file | /var/run/mysqld/mysqld.pid | | plugin_dir | | | port | 3306 | | preload_buffer_size | 32768 | | profiling | OFF | | profiling_history_size | 15 | | protocol_version | 10 | | query_alloc_block_size | 8192 | | query_cache_limit | 1048576 | | query_cache_min_res_unit | 4096 | | query_cache_size | 134217728 | | query_cache_type | ON | | query_cache_wlock_invalidate | OFF | | query_prealloc_size | 8192 | | range_alloc_block_size | 4096 | | read_buffer_size | 2097152 | | read_only | OFF | | read_rnd_buffer_size | 8388608 | | relay_log | | | relay_log_index | | | relay_log_info_file | relay-log.info | | relay_log_purge | ON | | relay_log_space_limit | 0 | | rpl_recovery_rank | 0 | | secure_auth | OFF | | secure_file_priv | | | server_id | 1 | | 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 | /var/lib/mysql/mysql.sock | | sort_buffer_size | 2097152 | | sql_big_selects | ON | | sql_mode | | | sql_notes | ON | | sql_warnings | OFF | | ssl_ca | | | ssl_capath | | | ssl_cert | | | ssl_cipher | | | ssl_key | | | storage_engine | MyISAM | | sync_binlog | 0 | | sync_frm | ON | | system_time_zone | CST | | table_cache | 256 | | table_lock_wait_timeout | 50 | | table_type | MyISAM | | thread_cache_size | 8 | | thread_stack | 196608 | | time_format | %H:%i:%s | | time_zone | SYSTEM | | timed_mutexes | OFF | | tmp_table_size | 33554432 | | tmpdir | /tmp/ | | transaction_alloc_block_size | 8192 | | transaction_prealloc_size | 4096 | | tx_isolation | REPEATABLE-READ | | updatable_views_with_limit | YES | | version | 5.0.77-log | | version_bdb | Sleepycat Software: Berkeley DB 4.1.24: (January 29, 2009) | | version_comment | Source distribution | | version_compile_machine | i686 | | version_compile_os | redhat-linux-gnu | | wait_timeout | 28800 | +---------------------------------+------------------------------------------------------------+

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  • mysql replication 1x master, 1x slave

    - by clarkk
    I have just setup one master and one slave server, but its not working.. On my website I connect to the slave server and I insert some rows, but they do not appear on the master and vice versa.. What is wrong? This is what I did: Master: -> /etc/mysql/my.cnf [mysqld] log-bin = mysql-master-bin server-id=1 # bind-address = 127.0.0.1 binlog-do-db = test_db Slave: -> /etc/mysql/my.cnf [mysqld] log-bin = mysql-slave-bin server-id=2 # bind-address = 127.0.0.1 replicate-do-db = test_db Slave: terminal 0 > mysql> STOP SLAVE; // and drop tables Master: terminal 1 > mysql> CREATE USER 'repl_slave'@'slave_ip' IDENTIFIED BY 'repl_pass'; mysql> GRANT REPLICATION SLAVE ON *.* TO 'repl_slave'@'slave_ip'; mysql> FLUSH PRIVILEGES; mysql> FLUSH TABLES WITH READ LOCK; -- leave terminal open terminal 2 > shell> mysqldump -u root -pPASSWORD test_db --lock-all-tables > dump.sql mysql> SHOW MASTER STATUS; Slave: terminal 3 > shell> mysql -u root -pPASSWORD test_db < dump.sql terminal 0 > mysql> CHANGE MASTER TO mysql> MASTER_HOST='master_ip', mysql> MASTER_USER='repl_slave', mysql> MASTER_PASSWORD='repl_pass', mysql> MASTER_PORT=3306, mysql> MASTER_LOG_FILE='mysql-master-bin.000003', // terminal 2 > SHOW MASTER STATUS mysql> MASTER_LOG_POS=4, // terminal 2 > SHOW MASTER STATUS mysql> MASTER_CONNECT_RETRY=10; mysql> START SLAVE; mysql> SHOW SLAVE STATUS; Here is the slave status: Array ( [Slave_IO_State] => Waiting for master to send event [Master_Host] => xx.xx.xx.xx [Master_User] => repl_slave [Master_Port] => 3306 [Connect_Retry] => 10 [Master_Log_File] => mysql-master-bin.000003 [Read_Master_Log_Pos] => 106 [Relay_Log_File] => mysqld-relay-bin.000002 [Relay_Log_Pos] => 258 [Relay_Master_Log_File] => mysql-master-bin.000003 [Slave_IO_Running] => Yes [Slave_SQL_Running] => Yes [Replicate_Do_DB] => test_db [Replicate_Ignore_DB] => [Replicate_Do_Table] => [Replicate_Ignore_Table] => [Replicate_Wild_Do_Table] => [Replicate_Wild_Ignore_Table] => [Last_Errno] => 0 [Last_Error] => [Skip_Counter] => 0 [Exec_Master_Log_Pos] => 106 [Relay_Log_Space] => 414 [Until_Condition] => None [Until_Log_File] => [Until_Log_Pos] => 0 [Master_SSL_Allowed] => No [Master_SSL_CA_File] => [Master_SSL_CA_Path] => [Master_SSL_Cert] => [Master_SSL_Cipher] => [Master_SSL_Key] => [Seconds_Behind_Master] => 0 [Master_SSL_Verify_Server_Cert] => No [Last_IO_Errno] => 0 [Last_IO_Error] => [Last_SQL_Errno] => 0 [Last_SQL_Error] => )

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  • what service to restart for /var/log/auth.log to start

    - by Bond
    Here is a situation since the log files on my server had grown to several Gigabytes I took a backup of directory /var/log and then manually when to each subdirectory of /var/log and the files which were big in size I did cat > /var/log/file_which_is_big press 2 times enter key (basically over wrote those files with a blank space) and then Ctrl+C So basically I over wrote those files to be blank. Now when I open /var/log/auth.log I don't see any entry (which is expected also since I over wrote) but when I exit the SSH session and login again then also I do not see any entry in auth.log is there any way other than rebooting the machine to make sure I keep getting the entries in /var/log/auth.log I am not sure which service writes in this file. This is a Ubuntu 10.04 server.

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  • MySQL Connect Content Catalog Live

    - by Bertrand Matthelié
    The MySQL Connect Content Catalog is now live and you can check out the great program the content committee put together for you. We received a lot of very good submissions during the call for papers and we’d like to thank you all again for those, it was a very difficult job to choose. Overall MySQL Connect will in two days include: Keynotes, with speakers such as Oracle Chief Corporate Architect Edward Screven and Vice President of MySQL Engineering Tomas Ulin 66 conference sessions, enabling you to hear from: Oracle engineers on MySQL 5.6 new features, InnoDB, performance and scalability, security, NoSQL, MySQL Cluster…and more MySQL users and customers including Facebook, Twitter, PayPal, Yahoo, Ticketmaster, and CERN Internationally recognized MySQL community members and partners on topics such as performance, security or high availability 6 Birds-of-a-feather sessions, in which you’ll be able to engage into passionate discussions about replication, backup and other subjects, and help influence the MySQL roadmap 8 Hands-On Labs designed to give you hands-on experience about MySQL replication, MySQL Cluster, the MySQL Performance Schema…and more Demo pods about MySQL Workbench, MySQL Cluster, MySQL Enterprise Edition and other technologies and services We’ll also have networking receptions on both Saturday and Sunday evening, enabling you to discuss with the Oracle engineers developing and supporting the MySQL products, as well as with other users and customers. Additionally, you’ll have the opportunity to meet and learn from our partners in the exhibition hall. Some of the MySQL Connect speakers such as Henrik Ingo and Andrew Morgan have already blogged about their presence at MySQL Connect, and you can find more information about their sessions or their thoughts about the conference in their blogs. We also published an interview with Tomas Ulin a few weeks ago. In summary, don’t miss MySQL Connect! And you only have about 3 weeks left to register with the early bird discount and save US$500. Don’t wait, Register Now! Interested in sponsorship and exhibit opportunities? You will find more information here.

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