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  • The database 'DB Name' is not accessible.

    - by Gurucharan
    I am getting following error each time I tried to select database. The database 'DB Name' is not accessible. (Microsoft.SqlServer.Express.ObjectExplorer) Note: My OS is Win Vista. When I tried to open SQL Mgmt Studio as Run as administrator than I can able to access database properly. Any idea why it is giving error. I am also getting following error when my asp.net application is trying to access database. Cannot open database "DBName" requested by the login. The login failed. Login failed for user 'PCName\abcd'. I am not very good with SQL Server, please let me know how to create user and grant them permission in case that is what causing the problem. Thanks.

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  • performance issue with a website.

    - by pradeep
    Hi, I have a website .. [SPAM LINK REMOVED]. When you see pages like [SPAM LINK REMOVED] and [SPAM LINK REMOVED]. These pages load a bit slowly in FF. Please see if the speed is reasonable or speed needs to improve and in IE 6 it takes ages to load the website. Please let me know what all should i do to increase the performance of website. I tried all the options given by firebug. But nothing much helped. If any1 can let me know where all i should take care to increase the performance it will be very helpful.

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  • How can I set default seed for all identities within a SQL Server database?

    - by Brandon DuRette
    Is there a way to tell SQL server to use specific default seed value for IDENTITY columns - assuming the (to be run) CREATE TABLE statements do not specify one? I don't really care about altering existing data or altering the seed values for specific IDENTITY columns. I want the same seed for all newly created identity columns. Assume I cannot modify the individual CREATE TABLE statements in any way.

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  • How to organize database access code in Android project?

    - by Mladen Jablanovic
    I have created a ContentProvider for my main Sqlite table, pretty much following NotePad example from SDK (although I am not sure whether I will ever be exposing my data to other apps). However, I need to create lots of other, non-trivial queries on that and other tables and views. A good example would be queries to extract some statistics from the base data, averages, totals etc. So what's the best place for this code in an Android project? How it should be related and connected to the Uri-based data access exposed by a Provider? Any good examples out there?

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  • PHP - Setting Database Info

    - by user1710648
    First off, I'm sorry if this shows no code which is not what Stack Overflow is about..But I have no clue where to go on this. I have a basic CMS I made, and I am trying to distribute it. I want to make it so that upon going to /cms/install for example, they set the database info, and different info to integrate into the CMS. Now my issue is, what would be the best method to allow the user to store that database info? A cookie seems to not be the right way..Could I store database info inside of a database? Not too sure where to go on this. More or less. What is the best way to temporarily store the database information the user gave before arrival of the full CMS.

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  • Benchmarks for Single and MultiThreaded programs

    - by user280848
    Hi I am trying to compare the performance of Single and Multithreaded Java programs. Are there any single thread benchmarks which are available which I could then use and convert to their multithreaded version and compare the performance. Could anybody guide me as to what kind of programs(not very small) are suitable for this empirical comparison. Thanks in advance

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  • How can I Display an extract from MySQL database entry?

    - by ThatMacLad
    I'm after creating a webpage that includes a blog section and it currently displays the whole post on the homepage. I'd like to set it so that it only displays a certain part of the entry i.e 50 words. I'd then like to be able to set it so that I have a read more button below the post that links to the post id. I currently use post.php?=# (# = whatever the post id is). Here is the homepage: <!DOCTYPE html> <html> <head> <meta charset="UTF-8"> <title>Blog Name</title> <link rel="stylesheet" href="css/style.css" type="text/css" /> <body> <div id="upper-bar"> <div id="bar-content"> <a href="#">Home</a> <a href="#">Archives</a> <a href="#">Contact</a> <a href="#">About</a> <a href="#"><img src="images/twitter.png" id="tweet"></a><a href="#"><img src="images/feed.png" id="feed"></a> </div> </div> <div id="clear"> </div> <div class="main"> <h1>Blog Name</h1> <div class="post-col"> <?php mysql_connect ('localhost', 'root', 'root') ; mysql_select_db ('tmlblog'); $sql = "SELECT * FROM php_blog ORDER BY timestamp DESC LIMIT 5"; $result = mysql_query($sql) or print ("Can't select entries from table php_blog.<br />" . $sql . "<br />" . mysql_error()); while($row = mysql_fetch_array($result)) { $date = date("l F d Y", $row['timestamp']); $title = stripslashes($row['title']); $entry = stripslashes($row['entry']); $id = $row['id']; ?> <div id='post-info'><?php echo "<p id='title'><strong><a href=\"post.php?id=". $id . "\">" . $title . "</a></strong></p>"; ?><br /></div> <div id="post"> <?php echo $entry; ?> <!--<br /><br /> Posted on <?php echo $date; ?> !--> </p> </div> </p> </div> <?php } ?> </div> </div> </body> </html>

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  • What is the best practise for relational database tables in mysql?

    - by George
    Hi, I know, there is a lot of info on mysql out there. But I was not really able to find an answer to this specific and actually simple question: Let's say I have two tables: USERS (with many fields, e.g. name, street, email, etc.) and GROUPS (also with many fields) The relation is (I guess?) 1:n, that is ONE user can be a member of MANY groups. What I dis, is create another table, named USERS_GROUPS_REL. This table has only two fields: us_id (unique key of table USERS) and gr_id (unique key of table GROUPS) In PHP I do a query with join. Is this "best practice" or is there a better way? Thankful for any hint!

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  • How to design a database where the main entity table has 25+ columns but a single entity's columns g

    - by thenextwebguy
    The entities to be stored have 25+ properties (table columns). The entities are pretty diverse, meaning that, most of the columns are empty. On average, I'd say, less than 20% (<5) properties have a value in any particular item. So, I have a lot of redundant empty columns for most of the table rows. Almost all of the columns are decimal numbers. Given this scenario, would you suggest serializing the columns instead, or perhaps, create another table named "Property", which would contain all the possible properties and then creating yet another table "EntityProperty" which would map an property to an entity using foreign keys? Or would you leave it as it is?

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  • Windows web server and SQL Server on same dedicated server

    - by asinc
    I'm currently trying to decide on the best approach to handle hosting a few moderate traffic websites for production e-commerce and online applications. We'd like to move to a dedicated server and are looking at this as the most likely machine: Quad Core Intel Core2Quad Q9550 Processor, 2.83 Ghz X 4, 4 GB Kingston Ram This would run Windows Web Server 2008 R2 x64 and potentially also Sql Server Web 2008 and SmarterMail server. Given that we already pay for a high-end VPS for development, testing, shared version control we'd like to avoid going with two servers for production. We'd like to avoid using shared sql server hosting and have thought of using the development server as the database server as an option too - but potentially a security risk due to use for development by internal and contract users. The questions are: - Do you feel there would be performance degradation by running this on the same machine? - Are there significant issues to be concerned about if we do this? We understand that best practice would be to run separate db and app servers but the volume of traffic is currently not that high and adding another server just for database is currently too costly. - What are others doing out there? Alternatively, would you recommend instead going with two separate VPS servers with 2GB RAM each on Hyper-v which would be about the same cost as the single dedicated server above? Thanks!

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  • What is optimal hardware configuration for heavy load LAMP application

    - by Piotr K.
    I need to run Linux-Apache-PHP-MySQL application (Moodle e-learning platform) for a large number of concurrent users - I am aiming 5000 users. By concurrent I mean that 5000 people should be able to work with the application at the same time. "Work" means not only do database reads but writes as well. The application is not very typical, since it is doing a lot of inserts/updates on the database, so caching techniques are not helping to much. We are using InnoDB storage engine. In addition application is not written with performance in mind. For instance one Apache thread usually occupies about 30-50 MB of RAM. I would be greatful for information what hardware is needed to build scalable configuration that is able to handle this kind of load. We are using right now two HP DLG 380 with two 4 core processors which are able to handle much lower load (typically 300-500 concurrent users). Is it reasonable to invest in this kind of boxes and build cluster using them or is it better to go with some more high-end hardware? I am particularly curious how many and how powerful servers are needed (number of processors/cores, size of RAM) what network equipment should be used (what kind of switches, network cards) any other hardware, like particular disc storage solutions, etc, that are needed Another thing is how to put together everything, that is what is the most optimal architecture. Clustering with MySQL is rather hard (people are complaining about MySQL Cluster, even here on Stackoverflow).

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  • PHP + MYSQL site perfomance

    - by Diego
    I have to manage a site which wasn't developed by me. It is in PHP using a mysql database, which is located in the web server. The site, sometimes (when the visitors increase too much) stops responding, or respond too slow. I have developed some sites in PHP but never took care of the management so really don't know where to start. The server (the hard) seems to be fine, when the web stops responding the cpu is being used at about 55% and has a lot of memory. I'm not asking someone to solve this issue. I only would really like if someone could give me a few tips about where can I find logs and how should I read and interpret them. So, that way I would be able to know if its the net traffic, the database (which queries), or what. Thanks! Update: Forgot to say: it is a Windows Server 2003. Note: I've recorded about a day with Jet Profiler. I don't really understand all the information it provides but there is one query which it marks as really slow. It makes sense because it is a select with a where clause which has three like condition. Initially I didn't include this in my question because when I run the query from MySQL Query Browser it doesn't take any long. It is under 0.01 seconds.

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  • Mysql queries stuck in "sending data" state

    - by MarkPW
    I'm running a Litespeed web server and a database server (2 x Clovertown 5335) with MySQL 5.1.52-log (running on Cent OS 4.5 and 4.6 32bit respectively). Last week, I upgraded from 5.0.51a-community-log and since then I've been having a problem whereby my database server's load starts increasing for no apparent reason. Running SHOW PROCESSLIST; I see all of my SQL_CACHE queries that use a wildcard in WHERE, backing up and getting stuck in "sending data" state. However, other queries that use SQL_CACHE but no wildcard do not get caught up in this. To get things going again, the first time it happens (after about 24 hours), I have to restart mysql. 4/5 times it will re-occur after about 20 minutes or so and this time and for subsequent occurrences it is not necessary to restart mysql. Simply stopping the web server for a few minutes will suffice while I allow the stuck queries to clear themselves up. I had no such problem with the the previous mysql install. What could be causing the issue and how do I resolve it? Thanks

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  • Request bursting from web application Load Tests

    - by MaseBase
    I'm migrating our web and database hosting to a new environment on all new machines. I've recently performed a Load Test using WAPT to generate load from multiple distributed clients. The server has plenty of room to handle the traffic load, but I'm seeing an odd pattern of incoming traffic during the load tests. Here is the gist of our setup: Firewall server running MS Forefront TMG 2010 on Win 2k8 server Request routing done by IIS Application Request Routing on firewall machine Web server is a Hyper-V VM on the Database server (which is the host OS) These machines are hefty with dual-CPU's with six cores (12 total procs) Web server running IIS 7.5 Web applications built in ASP.NET 2.0, with 1 ISAPI filter (Url Rewrite) in front What I'm seeing during the load tests is that the requests all come through in bursts. Even though I have 7 different distributed clients sending traffic loads, the requests come through about 300-500 requests at a time. The performance monitor shows nearly all of the counters moving through this pattern, where a burst of requests comes in the req/sec jumps to 70, the queued requests jumps to 500, the current requests jumps up, the CPU jumps up, everything. Then once it's handled that group of requests, it has a lull for nearly 10 seconds where nearly nothing is happening. 0-5 req/sec, 0 queued requests, minimal CPU usage. Then after 10 seconds of inactivity, another burst comes through, spiking all of the counters once again. What I can't figure out is why the requests are coming through in bursts when I know that the load being generated is not sent that way, especially considering the various load-generating clients sending traffic all in different intervals with random think time's between each request. Is there something in the layers between Hyper-V or perhaps in the hardware which might cause this coalesce of requests together? Here is what i'm looking at, the highlighted metric is Requests/sec, but the others critical counter go with it: Requests Queued (which I'd obviously like to keep as close to 0 as possible). Any ideas on this?

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  • How to make a huge ram drive?

    - by Brandon Moore
    At my old job when a report was needed I could sit down with someone and pull up results and get immediate feedback, and then refine my queries and ultimately have the data we needed, in the format we needed within 30-90 minutes. I just started working for a new company with a database containing millions of records and I spent my whole 8 hours making a report that I feel I could have made in less than 2 hours if it were not for the massive amount of data the queries are working with, and the fact that I couldn't ask the person needing the data to sit down with me and give me feedback as I pulled up results as I am used to. So I am trying to think of how we can make the server faster... much faster, so that I can have the same level of productivity I'm used to. One thought that just came to mind is that memory is so cheap these days, and by my calculations I could buy 10 8gig ram sticks for 1000 bucks. What I have never heard of though is a device that would let me combine these into a huge ram drive. So I'd like to know if any such device exists, and if not what is the largest ram drive I could realistically make and how would I go about doing so? EDIT: To you guys who are saying the database shema needs to be analyzed... you can't make a query such as "Select f1, f2, f3, etc from SomeTable" run any faster by normalizing or indexing the table. What I'm talking about IS ABSOLUTELY a need for improved performance at the hardware level. I am used to having results come back to me in a few seconds, not a few minutes or much less a half an hour. Maybe that's what you guys are used to who have 100 billion record tables and you feel like that's fast, but I'm looking for results back from tables with about 10 million records to come back to me withing less than half a minute TOPS.

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  • Samba PDC share slow with LDAP backend

    - by hmart
    The scenario I have a SUSE SLES 11.1 SP1 machine as Samba master PDC with LDAP backend. In one share there are Database files for a Client-Server application. I log XP and Windows 7 machines to the local domain (example.local), the login is a little slow but works. In the client computers have an executable which opens, reads and writes the database files from the server share. The Problem When running Samba with LDAP password backend the client application runs VERY SLOW with a maximum transfer rate of 2500 MBit per second. If disable LDAP the client app speed increases 20x, with transfer rate of 50Mbit/sec and running smoothly. I'm doing test with just two users and two machines, so concurrency, or LDAP size shouldn't be the problem here. The suspect LDAP, Smb.conf [global] section configuration. The Question What can I do? I've googled a lot, but still have no answer. Slow smb.conf WITH LDAP [global] workgroup = zmartsoft.local passdb backend = ldapsam:ldap://127.0.0.1 printing = cups printcap name = cups printcap cache time = 750 cups options = raw map to guest = Bad User logon path = \\%L\profiles\.msprofile logon home = \\%L\%U\.9xprofile logon drive = P: usershare allow guests = Yes add machine script = /usr/sbin/useradd -c Machine -d /var/lib/nobody -s /bin/false %m$ domain logons = Yes domain master = Yes local master = Yes netbios name = server os level = 65 preferred master = Yes security = user wins support = Yes idmap backend = ldap:ldap://127.0.0.1 ldap admin dn = cn=Administrator,dc=zmartsoft,dc=local ldap group suffix = ou=Groups ldap idmap suffix = ou=Idmap ldap machine suffix = ou=Machines ldap passwd sync = Yes ldap ssl = Off ldap suffix = dc=zmartsoft,dc=local ldap user suffix = ou=Users

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  • Severe mysqldump performance degradation using Centos Linux, 8GB PAE and MySQL 5.0.77

    - by Duncan Harris
    We use MySQL 5.0.77 on CentOS 5.5 on VMWare: Linux dev.ic.soschildrensvillages.org.uk 2.6.18-194.11.4.el5PAE #1 SMP Tue Sep 21 05:48:23 EDT 2010 i686 i686 i386 GNU/Linux We have recently upgraded from 4GB RAM to 8GB. When we did this the time of our mysqldump overnight backup jumped from under 10 minutes to over 2 hours. It also caused unresponsiveness on our plone based web site due to database load. The dump is using the optimized mysqldump format and is spooled directly through a socket to another server. Any ideas on what we could do to fix gratefully appreciated. Would a MySQL upgrade help? Anything we can do to MySQL config? Anything we can do to Linux config? Or do we have to add another server or go to 64-bit? We ran a previous (non-virtual) server on 6GB PAE and didn't notice a similar issue. This was on same MySQL version, but Centos 4.4. Server config file: [mysqld] port=3307 socket=/tmp/mysql_live.sock wait_timeout=31536000 interactive_timeout=31536000 datadir=/var/mysql/live/data user=mysql max_connections = 200 max_allowed_packet = 64M table_cache = 2048 binlog_cache_size = 128K max_heap_table_size = 32M sort_buffer_size = 2M join_buffer_size = 2M lower_case_table_names = 1 innodb_data_file_path = ibdata1:10M:autoextend innodb_buffer_pool_size=1G innodb_log_file_size=300M innodb_log_buffer_size=8M innodb_flush_log_at_trx_commit=1 innodb_file_per_table [mysqldump] # Do not buffer the whole result set in memory before writing it to # file. Required for dumping very large tables quick max_allowed_packet = 64M [mysqld_safe] # Increase the amount of open files allowed per process. Warning: Make # sure you have set the global system limit high enough! The high value # is required for a large number of opened tables open-files-limit = 8192 Server variables: mysql> show variables; +---------------------------------+------------------------------------------------------------------+ | Variable_name | Value | +---------------------------------+------------------------------------------------------------------+ | auto_increment_increment | 1 | | auto_increment_offset | 1 | | automatic_sp_privileges | ON | | back_log | 50 | | basedir | /usr/local/mysql-5.0.77-linux-i686-glibc23/ | | binlog_cache_size | 131072 | | 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/local/mysql-5.0.77-linux-i686-glibc23/share/mysql/charsets/ | | collation_connection | latin1_swedish_ci | | collation_database | latin1_swedish_ci | | collation_server | latin1_swedish_ci | | completion_type | 0 | | concurrent_insert | 1 | | connect_timeout | 10 | | datadir | /var/mysql/live/data/ | | date_format | %Y-%m-%d | | datetime_format | %Y-%m-%d %H:%i:%s | | default_week_format | 0 | | delay_key_write | ON | | delayed_insert_limit | 100 | | delayed_insert_timeout | 300 | | delayed_queue_size | 1000 | | div_precision_increment | 4 | | 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 | YES | | have_bdb | NO | | have_blackhole_engine | YES | | have_compress | YES | | have_crypt | YES | | have_csv | YES | | have_dynamic_loading | YES | | have_example_engine | NO | | have_federated_engine | YES | | have_geometry | YES | | have_innodb | YES | | have_isam | NO | | have_merge_engine | YES | | have_ndbcluster | DISABLED | | have_openssl | DISABLED | | have_ssl | DISABLED | | have_query_cache | YES | | have_raid | NO | | have_rtree_keys | YES | | have_symlink | YES | | hostname | app.ic.soschildrensvillages.org.uk | | init_connect | | | init_file | | | init_slave | | | innodb_additional_mem_pool_size | 1048576 | | innodb_autoextend_increment | 8 | | innodb_buffer_pool_awe_mem_mb | 0 | | innodb_buffer_pool_size | 1073741824 | | innodb_checksums | ON | | innodb_commit_concurrency | 0 | | innodb_concurrency_tickets | 500 | | innodb_data_file_path | ibdata1:10M:autoextend | | innodb_data_home_dir | | | innodb_adaptive_hash_index | ON | | innodb_doublewrite | ON | | innodb_fast_shutdown | 1 | | innodb_file_io_threads | 4 | | innodb_file_per_table | ON | | innodb_flush_log_at_trx_commit | 1 | | innodb_flush_method | | | innodb_force_recovery | 0 | | innodb_lock_wait_timeout | 50 | | innodb_locks_unsafe_for_binlog | OFF | | innodb_log_arch_dir | | | innodb_log_archive | OFF | | innodb_log_buffer_size | 8388608 | | innodb_log_file_size | 314572800 | | innodb_log_files_in_group | 2 | | innodb_log_group_home_dir | ./ | | innodb_max_dirty_pages_pct | 90 | | innodb_max_purge_lag | 0 | | innodb_mirrored_log_groups | 1 | | innodb_open_files | 300 | | innodb_rollback_on_timeout | OFF | | innodb_support_xa | ON | | innodb_sync_spin_loops | 20 | | innodb_table_locks | ON | | innodb_thread_concurrency | 8 | | innodb_thread_sleep_delay | 10000 | | interactive_timeout | 31536000 | | join_buffer_size | 2097152 | | key_buffer_size | 8384512 | | key_cache_age_threshold | 300 | | key_cache_block_size | 1024 | | key_cache_division_limit | 100 | | language | /usr/local/mysql-5.0.77-linux-i686-glibc23/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 | OFF | | log_bin_trust_function_creators | OFF | | log_error | | | log_queries_not_using_indexes | OFF | | log_slave_updates | OFF | | log_slow_queries | OFF | | log_warnings | 1 | | long_query_time | 10 | | low_priority_updates | OFF | | lower_case_file_system | OFF | | lower_case_table_names | 1 | | max_allowed_packet | 67108864 | | max_binlog_cache_size | 4294963200 | | max_binlog_size | 1073741824 | | max_connect_errors | 10 | | max_connections | 200 | | max_delayed_threads | 20 | | max_error_count | 64 | | max_heap_table_size | 33554432 | | max_insert_delayed_threads | 20 | | max_join_size | 18446744073709551615 | | 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 | 8388608 | | myisam_stats_method | nulls_unequal | | ndb_autoincrement_prefetch_sz | 1 | | ndb_force_send | ON | | ndb_use_exact_count | ON | | ndb_use_transactions | ON | | ndb_cache_check_time | 0 | | ndb_connectstring | | | net_buffer_length | 16384 | | net_read_timeout | 30 | | net_retry_count | 10 | | net_write_timeout | 60 | | new | OFF | | old_passwords | OFF | | open_files_limit | 8192 | | optimizer_prune_level | 1 | | optimizer_search_depth | 62 | | pid_file | /var/mysql/live/mysqld.pid | | plugin_dir | | | port | 3307 | | 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 | 0 | | query_cache_type | ON | | query_cache_wlock_invalidate | OFF | | query_prealloc_size | 8192 | | range_alloc_block_size | 4096 | | read_buffer_size | 131072 | | read_only | OFF | | read_rnd_buffer_size | 262144 | | 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 | 0 | | skip_external_locking | ON | | skip_networking | OFF | | skip_show_database | OFF | | slave_compressed_protocol | OFF | | slave_load_tmpdir | /tmp/ | | slave_net_timeout | 3600 | | slave_skip_errors | OFF | | slave_transaction_retries | 10 | | slow_launch_time | 2 | | socket | /tmp/mysql_live.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 | GMT | | table_cache | 2048 | | table_lock_wait_timeout | 50 | | table_type | MyISAM | | thread_cache_size | 0 | | 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 | | version_comment | MySQL Community Server (GPL) | | version_compile_machine | i686 | | version_compile_os | pc-linux-gnu | | wait_timeout | 31536000 | +---------------------------------+------------------------------------------------------------------+ 237 rows in set (0.00 sec)

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  • MySQL : table organisation for very large sets with high update frequency

    - by Remiz
    I'm facing a dilemma in the choice of my MySQL schema application. So before I start here is a picture extremely simplified of my database : Schema here : http://i43.tinypic.com/2wp5lxz.png In one sentence : for each customer, the application harvest text data and attached tags to each data collected. As approximation of the usage of each table, here is what I expect : customer : ~5000, shouldn't grow fast data : 5 millions per customer, could double or triple for big customers. tag : ~1000, quite fixed size data_tag : hundred of millions per customer easily. Each data can be tagged a lot. The harvesting process is permanent, that means that around every 15 minutes new data come and are tagged, that require a very constant index refreshing. A lot of my queries are a SELECT COUNT of DATA between specific DATES and tagged with a specific TAG on a specific CUSTOMER (very rarely it will involve several customers). Here is the situation, you can imagine with this kind of volume of data I'm facing a challenge in term of data organization and indexing. Again, it's a very minimalistic and simplified version of my structure. My question is, is it better: to stick with this model and to manage crazy index optimization ? (which involves potentially having billions of rows in the data_tag table) change the schema and use one data table and one data_tag table per customer ? (which involves having 5000 tables on my database) I'm running all of this on a MySQL 5.0 dedicated server (quad-core, 8Go of ram) replicated. I only use InnoDB, I also have another server that run Sphinx. So knowing all of this, I can't wait to hear your opinion about this. Thanks.

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  • Server down at 23:26 every night

    - by miccet
    We are having a big problem with our sites stability the last couple of weeks and after endless hours of troubleshooting I don't get anywhere. So I turn to you dear community. Setup: 2 x VPS servers - Front end, 8 core, 8G RAM. - Database, 5 core, 3G RAM. Both running Ubuntu. Ruby on Rails EE with Passenger 3 and Rails 2.3.11. MySQL 5.1.67. The problem is that each night, at the exact same time (23:26) the SQL server suddenly shows a processlist full of COMMIT with an increasing Time. After 30-40 seconds (can go longer) a wave seems processed and the site responds for a few seconds before it repeats. During this hick up the database server load spikes while the front end is relaxing. I have looked at slow queries, but is not finding any locks or other unusual queries ran at this time. I have looked at iotop at the time of the halt and there is no activity from mysql. I also tried turning off query_cache and messed around with the mysql configuration file without much change. Any ideas?

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  • Spikes of 99% disk activity in Windows 8 Task Manager

    - by Jonathan Chan
    For some reason Windows 8's Task Manager reports spikes of 99% disk activity for hours at a time. Looking at the entries in that column, however, data doesn't seem to be getting written any more quickly than when the disk activity is around 25-50% (which it seem to idle at most of the time). Furthermore, when these 99% disk activity spikes are happening, the average response time reported in the Performance tab becomes 4000-6000ms. Is there a good way to find out what is causing the disk activity? I've tried using Process Explorer, but I said above, the rate at which data is reportedly being written doesn't seem to correspond (Dropbox and Google Chrome are constantly the top two, but the spikes are not dependent on their being open). Thanks in advance for any help. It gets very annoying when the computer stutters to a halt.

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  • How to preserve sysprep from changing Default User settings

    - by user33794
    I'm having diffculties configuring 20 new Dell Vostro minis here. I set up one of them with my preferred OS, applications and settings, especially the Visual Effects Settings of Windows XP. I set them to best performance and deactivated everything else in the box. I copied this profile to Default User Profile and did sysprep -mini -reseal. After capturing this image and deploying it again, the desktop settings are correct except the visual effects settings. fading and everything else is reenabled for each new user which is created on the system. How do I preserve my settings from being overwritten by sysprep? thanks!

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