Search Results

Search found 14348 results on 574 pages for 'planet mysql'.

facebook twitter digg google delicious technorati stumbleupon myspace wordpress linkedin gmail igoogle windows live tumblr viadeo yahoo buzz yahoo mail yahoo bookmarks favorites email print

Page 19/574 | < Previous Page | 15 16 17 18 19 20 21 22 23 24 25 26  | Next Page >

  • Can't connect to local MySQL server through socket '/var/run/mysqld/mysqld.sock' (2)

    - by Siddharth
    My mysql installation was screwed up. I uninstalled and installed it multiple times. But I kept getting a hang or a error "cant connect". I now finally have it running with sudo -u mysql mysqld. How do I get mysqld to run at startup, and why do I need to run it as user mysql. Can I change it to run as root ? Edit Filesystem Size Used Avail Use% Mounted on /dev/sda1 230G 5.5G 213G 3% / none 2.0G 268K 2.0G 1% /dev none 2.0G 3.2M 2.0G 1% /dev/shm none 2.0G 92K 2.0G 1% /var/run none 2.0G 0 2.0G 0% /var/lock none 2.0G 0 2.0G 0% /lib/init/rw /dev/sda5 230G 20G 199G 9% /home

    Read the article

  • Connect to MySQL on remote server from inside python script (DB API)

    - by Atul Kakrana
    Very recently I have started to write python scripts that need to connect few databases on mySQL server. The problem is that when I work from office my script works fine but running a script from my home while on office VPN generates connection error. I also noticed the mySQL client Squirrel also cannot connect from my home but works fine on Office computer. I think both are giving problem for the same reason. Do I need to create a ssh tunnel and forward the port? If yes how do I do it? mySQL is installed on server I have ssh access. Please help me on this AK

    Read the article

  • MySQL for Beginners course - first steps to lowering your Database TCOs

    - by Antoinette O'Sullivan
    Thinking about lowering your Database TCO by using the MySQL Server? Don't miss the chance to get training from the source! With the newly released MySQL for Beginners class, learn how this powerful relational database management system can make your life easier and more fun! This course covers all the basics and will get you on your way, with a solid foundation. This instructor led, hands-on class covers the fundamentals of SQL and relational databases, using MySQL as a teaching tool. Send information about this course release to a friend who might be considering getting started on the world's most popular small footprint database.

    Read the article

  • Connecting remote mysql database to local mysql databse? [migrated]

    - by Shashank
    I want to write a php code to be embedded in drupal7 module. I want to call a procedure which can copy the newly generated data in local mysql database to the remote mysql database. When data is inserted in tables 'A' of my local data base it should be copied to the specific table 'B' of the remote mysql server's database. Table 'A' is on local host. Table 'B' is on remote server. insert data on 'A' - copied data in 'B' Is this possible? Thanks for the help.

    Read the article

  • Phantom activity on MySQL

    - by LoveMeSomeCode
    This is probably just my total lack of MySQL expertise, but is it typical to see lots of phantom activity on a MySQL instance via phpMyAdmin? I have a shared hosting plan through Lithium, and when I log in through the phpMyAdmin console and click on the 'Status' tab, it's showing crazy high numbers for queries. Within an hour of activating my account I had 1 million queries. At first I thought this was them setting things up, but the number is climbing constantly, averaging 170/second. I've got a support ticket in with Lithium, but I thought I'd ask here if this were a MySQL/shared host thing, because I had the same thing happen with a shared hosting plan through Joyent.

    Read the article

  • How to Add Policy-based Audit Compliance to you existing MySQL applications

    - by Rob Young
    As a follow up to an earlier blog on the subject, please join us today at 0900 US PT to learn how to easily add policy-based auditing compliance to your existing MySQL applications.  This brief, informative session will provide an overview of the new MySQL Enterprise Audit plugin and will include a simple, practical step-by-step "how to" approach to get up and running with the new functionality. You can learn more and secure your seat for the presentation here.  Thanks for your continued support of MySQL!

    Read the article

  • how to run mysql drop and create synonym in shell script

    - by bgrif
    I have added this command to a script I am writing and I am running into a issue with it not logging onto mysql and running the commands. How can i fix this and make it run. #! /bin/bash Subject: Please stage the following TFL09143 Locator Bulletin to all TF90 staging environments: # This next section is to go to mysql server and make changes. you can drop and create synonyms truncate a table and insert into a different one. you will be able to verify the counts to the different locations # $ mysql --host=app03-bsi --u "" --p "" "TF90BPS" -bse "drop synonym TF90.BTXADDR && drop synonym TF90.BTXSUPB && CREATE SYNONYM TF90.BTXADDR FOR TF90BP.TFBPS2.BTXADDR && CREATE SYNONYM TF90.BTXSUPB FOR TF90BP.TFBPS3.BTXSUPB && TRUNCATE TABLE TF90BP.TFBPS3.BTXSUPB SELECT * FROM TF90BP.TFBPS2.BTXSUPB; select count () from TF90BP.TF90.BTXADDR select count() from TF90BPS.TF90.BTXADDR; select count() from TF90BP.TF90.BTXSUPB; select count() from TF90BPS.TF90.BTXSUPB;" $ mysql --host=app03-bsi --u "" --p "" "TF90LMS" -bse "drop synonym TF90.BTXADDR && drop synonym TF90.BTXSUPB && CREATE SYNONYM TF90.BTXADDR FOR TF90LM.TFBPS2.BTXADDR && CREATE SYNONYM TF90.BTXSUPB FOR TF90LM.TFBPS3.BTXSUPB; TRUNCATE TABLE TF90LM.TFLMS2.BTXADDR;TRUNCATE TABLE TF90LM.TFLMS3.BTXSUPB;INSERT INTO TF90LM.TFLMS3.BTXSUPB SELECT * FROM TF90LM.TFLMS2.BTXSUPB;Verify select count() from TF90LM.TF90.BTXADDR;select count() from TF90LMS.TF90.BTXADDR;select count() from TF90LM.TF90.BTXSUPB;select count() from TF90LMS.TF90.BTXSUPB" $ mysql --host=app03-bsi --u "" --p "" "TF90NCS" -bse "drop synonym TF90.BTXADDR && drop synonym TF90.BTXSUPB && CREATE SYNONYM TF90.BTXADDR FOR TF90NC.TFBPS2.BTXADDR && CREATE SYNONYM TF90.BTXSUPB FOR TF90NC.TFBPS3.BTXSUPB; TRUNCATE TABLE TF90NC.TFNCS2.BTXADDR; TRUNCATE TABLE TF90NC.TFNCS3.BTXSUPB; INSERT INTO TF90NC.TFNCS3.BTXSUPB SELECT * FROM TF90NC.TFNCS2.BTXSUPB; Verify select count() from TF90NC.TF90.BTXADDR; select count() from TF90NCS.TF90.BTXADDR;select count() from TF90NC.TF90.BTXSUPB;select count() from TF90NCS.TF90.BTXSUPB" $ mysql --host=app03-bsi --u "" --p "" "TF90PVS" -bse "drop synonym TF90.BTXADDR && drop synonym TF90.BTXSUPB && CREATE SYNONYM TF90.BTXADDR FOR TF90PV.TFBPS2.BTXADDR && CREATE SYNONYM TF90.BTXSUPB FOR TF90PV.TFBPS3.BTXSUPB; TRUNCATE TABLE TF90PV.TFPVS2.BTXADDR;TRUNCATE TABLE TF90PV.TFPVS3.BTXSUPB;INSERT INTO TF90PV.TFPVS3.BTXSUPB SELECT * FROM TF90PV.TFPVS2.BTXSUPB;Verify select count() from TF90PV.TF90.BTXADDR;select count() from TF90PVS.TF90.BTXADDR;select count() from TF90PV.TF90.BTXSUPB;select count() from TF90PVS.TF90.BTXSUPB" TFL09143 Staging cd \ntsrv\common\To\IT-CERT-TEST\TFL09143 #change to mapped network drive cp -p TFL09143.pkg /d:/tf90/code_stg && /tf90bp/code_stg && /tf90lm/code_stg && /tf90pv/code_stg # Copies the package from the networked folder and then copies to the location(s) needed.# InvalidInput="true" if [ $# -eq 0 ] ; then echo "This script sets up TF90 Staging" echo -n "Which production do you want to run? (RB/TaxLocator/Cyclic)" read ProductionDistro else ProductionDistro="$1" fi while [ "$InvalidInput" = "true" ] do if [ "$ProductionDistro" = "RB" -o "$ProductionDistro" = "TaxLocator" -o "$ProductionDistro" = "Cyclic" ] ; then InvalidInput="false" break else echo "You have entered an error" echo "You must type RB or TaxLocator or Cyclic" echo "you typed $ProductionDistro" echo "This script sets up TF90 Staging" read ProductionDistro fi done InvalidInput="true" if [ $# -eq 0 ] ; then echo "This script sets up RB TF90 Staging" echo -n "Which Element do you want to run? (TF90/TF90BP/TF90LM/TF90PV/ALL)" read ElementDistro else ElementDistro="$1" fi while [ "$InvalidInput" = "true" ] do if [ "$ElementDistro" = "TF90" -o "$ElementDistro" = "TF90BP" -o "$ElementDistro" = "TF90LM" -o "$ElementDistro" = "TF90PV" -o "$ElementDistro" = "ALL" ] ; then InvalidInput="false" break else echo "You have entered an error" echo "You must type TF90 or TF90BP or TF90LM or TF90PV" echo "you typed $ElementDistro" echo "This script sets up TF90 Staging" read ElementDistro fi done if [ "$ElementDistro" = "TF90" ] ; then cd /d/tf90/code_stg vim TFL09143.pkg export var=TF90_CONNECT_STRING=DSN=TF90NCS;export Description=TF90NCS;export Trusted_Connection=Yes;export WSID=APP03- BSI;export DATABASE=TF90NCS; export DATASET=DEFAULT pkgintall -l -v ../TFL09143.pkg fi if [ "$ElementDistro" = "$TF90BP" ] ; then cd /d/tf90bp/code_stg vim TFL09143.pkg export TF90_CONNECT_STRING=DSN=TF90BPS;export Description=TF90BPS;export Trusted_Connection=Yes;export WSID=APP03- BSI;export DATABASE=TF90BPS; start tfloader -l –v ../TFL09143.pkg fi if [ "$ElementDistro" = "$TF90LM" ] ; then cd /d/tf90lm/code_stg vim TFL09143.pkg export TF90_CONNECT_STRING=DSN=TF90LMS;export Description=TF90LMS;export Trusted_Connection=Yes;export WSID=APP03- BSI;export DATABASE=TF90LMS; start tfloader -l -v ../TFL09143.pkg fi if [ "$ElementDistro" = "TF90PV" ] ; then cd /d/tf90pv/code_stg vim TFL09143.pkg export TF90_CONNECT_STRING=DSN=TF90PVS;Description=TF90PVS;Trusted_Connection=Yes;WSID=APP03- BSI;DATABASE=TF90PVS; start tfloader -l –v ../TFL09143.pkg fi exit 0

    Read the article

  • mysql questions for beginners

    - by ankhseeker
    ok, I have a few questions regarding mysql. I am currently running ubuntu 12.04.4 LTS command line version. I am looking for a database that I can use. I am confused at this point because I am uninformed. mysql is just one database that is on the server? or can it contain several or many databases What programs do I use to access it on the server or is it a vt-100 type access? I understand that mysql comes with lamp? or ubuntu. I am thinking that it is already installed but not sure how to access it, but that is another question for later. Outside of the man pages and the ubuntu manual, is there a site for its setup and use? Thanks!

    Read the article

  • Cannot Start MySQL Server on Fresh MAMP Install

    - by alexpelan
    I'm using Mac OS X 10.6.2 on my Macbook Pro. I can get the apache server to start, but not the mysql server, on both the default apache and default MAMP ports. When I try to go to my start page, I get the message "Error: Could not connect to MySQL server!" . Here's what's in my mysql error log: 00513 02:00:07 mysqld_safe mysqld from pid file /Applications/MAMP/tmp/mysql/mysql.pid ended 100513 02:00:16 mysqld_safe Starting mysqld daemon with databases from /Applications/MAMP/db/mysql 100513 2:00:16 [Warning] The syntax '--log_slow_queries' is deprecated and will be removed in a future release. Please use '--slow_query_log'/'--slow_query_log_file' instead. 100513 2:00:16 [Warning] You have forced lower_case_table_names to 0 through a command-line option, even though your file system '/Applications/MAMP/db/mysql/' is case insensitive. This means that you can corrupt a MyISAM table by accessing it with different cases. You should consider changing lower_case_table_names to 1 or 2 100513 2:00:16 [Warning] One can only use the --user switch if running as root 100513 2:00:16 [Note] Plugin 'FEDERATED' is disabled. 100513 2:00:16 [Note] Plugin 'ndbcluster' is disabled. InnoDB: Error: log file /usr/local/mysql/data/ib_logfile0 is of different size 0 5242880 bytes InnoDB: than specified in the .cnf file 0 16777216 bytes! 100513 2:00:16 [ERROR] Plugin 'InnoDB' init function returned error. 100513 2:00:16 [ERROR] Plugin 'InnoDB' registration as a STORAGE ENGINE failed. 100513 2:00:16 [ERROR] /Applications/MAMP/Library/libexec/mysqld: unknown option '--skip-bdb' 100513 2:00:16 [ERROR] Aborting 100513 2:00:16 [Note] /Applications/MAMP/Library/libexec/mysqld: Shutdown complete 100513 02:00:16 mysqld_safe mysqld from pid file /Applications/MAMP/tmp/mysql/mysql.pid ended A couple of things: 1) There are a bunch of different .cnf files that come with MAMP (my-huge, my-medium, etc.)...how can I tell which one is actually being used? 2) I deleted the ib_logfile0 and ib_logfile1 as recommended by another post on serverfault, and then ended up with more errors: 100519 16:01:30 InnoDB: Log file /usr/local/mysql/data/ib_logfile0 did not exist: new to be created InnoDB: Setting log file /usr/local/mysql/data/ib_logfile0 size to 16 MB InnoDB: Database physically writes the file full: wait... 100519 16:01:30 InnoDB: Log file /usr/local/mysql/data/ib_logfile1 did not exist: new to be created InnoDB: Setting log file /usr/local/mysql/data/ib_logfile1 size to 16 MB InnoDB: Database physically writes the file full: wait... InnoDB: The log sequence number in ibdata files does not match InnoDB: the log sequence number in the ib_logfiles! 100519 16:01:31 InnoDB: Database was not shut down normally! InnoDB: Starting crash recovery. InnoDB: Reading tablespace information from the .ibd files... InnoDB: Restoring possible half-written data pages from the doublewrite InnoDB: buffer... 100519 16:01:31 InnoDB: Started; log sequence number 0 44556 100519 16:01:31 [ERROR] /Applications/MAMP/Library/libexec/mysqld: unknown option '--skip-bdb' 100519 16:01:31 [ERROR] Aborting And then I got this the next time I tried to run it: InnoDB: Unable to lock /usr/local/mysql/data/ibdata1, error: 35 InnoDB: Check that you do not already have another mysqld process InnoDB: using the same InnoDB data or log files. Sorry that this is a lot of information, but I don't want to leave anything out. Thanks.

    Read the article

  • 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)

    Read the article

  • Corrupted mysql table, cause crash in mysql.h (c++)

    - by Francesco
    i've created a very simple mysql class in c+, but when happen that mysql crash , indexes of tables become corrupted, and all my c++ programs crash too because seems that are unable to recognize corrupted table and allowing me to handle the issue .. Q_RES = mysql_real_query(MY_mysql, tmp_query.c_str(), (unsigned int) tmp_query.size()); if (Q_RES != 0) { if (Q_RES == CR_COMMANDS_OUT_OF_SYNC) cout << "errorquery : CR_COMMANDS_OUT_OF_SYNC " << endl; if (Q_RES == CR_SERVER_GONE_ERROR) cout << "errorquery : CR_SERVER_GONE_ERROR " << endl; if (Q_RES == CR_SERVER_LOST) cout << "errorquery : CR_SERVER_LOST " << endl; LAST_ERROR = mysql_error(MY_mysql); if (n_retrycount < n_retry_limit) { // RETRY! n_retrycount++; sleep(1); cout << "SLEEP - query retry! " << endl; ping(); return select_sql(tmp_query); } return false; } MY_result = mysql_store_result(MY_mysql); B_stored_results = true; cout << "b8" << endl; LAST_affected_rows = (mysql_num_rows(MY_result) + 1); // coult return -1 cout << "b8-1" << endl; the program terminate with a "segmentation fault" after doing the "b8" and before the "b8-1" , Q_RES have no issue even if the table is corrupted.. i would like to know if there is a way to recognize that the table have problems and so then i can run a mysql repair or mysql check .. thanks, Francesco

    Read the article

  • MySQL table data transformation -- how can I dis-aggregate MySQL time data?

    - by lighthouse65
    We are coding for a MySQL data warehousing application that stores descriptive data (User ID, Work ID, Machine ID, Start and End Time columns in the first table below) associated with time and production quantity data (Output and Time columns in the first table below) upon which aggregate (SUM, COUNT, AVG) functions are applied. We now wish to dis-aggregate time data for another type of analysis. Our current data table design: +---------+---------+------------+---------------------+---------------------+--------+------+ | User ID | Work ID | Machine ID | Event Start Time | Event End Time | Output | Time | +---------+---------+------------+---------------------+---------------------+--------+------+ | 080025 | ABC123 | M01 | 2008-01-24 16:19:15 | 2008-01-24 16:34:45 | 2120 | 930 | +---------+---------+------------+---------------------+---------------------+--------+------+ Reprocessing dis-aggregation that we would like to do would be to transform table content based on a granularity of minutes, rather than the current production event ("Event Start Time" and "Event End Time") granularity. The resulting reprocessing of existing table rows would look like: +---------+---------+------------+---------------------+--------+ | User ID | Work ID | Machine ID | Production Minute | Output | +---------+---------+------------+---------------------+--------+ | 080025 | ABC123 | M01 | 2010-01-24 16:19 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:20 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:21 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:22 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:23 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:24 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:25 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:26 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:27 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:28 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:29 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:30 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:31 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:22 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:33 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:34 | 133 | +---------+---------+------------+---------------------+--------+ So the reprocessing would take an existing row of data created at the granularity of production event and modify the granularity to minutes, eliminating redundant (Event End Time, Time) columns while doing so. It assumes a constant rate of production and divides output by the difference in minutes plus one to populate the new table's Output column. I know this can be done in code...but can it be done entirely in a MySQL insert statement (or otherwise entirely in MySQL)? I am thinking of a INSERT ... INTO construction but keep getting stuck. An additional complexity is that there are hundreds of machines to include in the operation so there will be multiple rows (one for each machine) for each minute of the day. Any ideas would be much appreciated. Thanks.

    Read the article

  • random data using php & mysql

    - by Prakash
    I have mysql database structure like below: CREATE TABLE test ( id int(11) NOT NULL auto_increment, title text NULL, tags text NULL, PRIMARY KEY (id) ); data on field tags is stored as a comma separated text like html,php,mysql,website,html etc... now I need create an array that contains around 50 randomly selected tags from random records. currently I am using rand() to select 15 random mysql data from database and then holding all the tags from 15 records in an array. Then I am using array_rand() for randomizing the array and selecting only 50 random records. $query=mysql_query("select * from test order by id asc, RAND() limit 15"); $tags=""; while ($eachData=mysql_fetch_array($query)) { $additionalTags=$eachData['tags']; if ($tags=="") { $tags.=$additionalTags; } else { $tags.=$tags.",".$additionalTags; } } $tags=explode(",", $tags); $newTags=array(); foreach ($tags as $tag) { $tag=trim($tag); if ($tag!="") { if (!in_array($tag, $newTags)) { $newTags[]=$tag; } } } $random_newTags=array_rand($newTags, 50); Now I have huge records on the database, and because of that; rand() is performing very slow and sometimes it doesn't work. So can anyone let me know how to handle this situation correctly so that my page will work normally.

    Read the article

  • MySQL table data transformation -- how can I dis-aggreate MySQL time data?

    - by lighthouse65
    We are coding for a MySQL data warehousing application that stores descriptive data (User ID, Work ID, Machine ID, Start and End Time columns in the first table below) associated with time and production quantity data (Output and Time columns in the first table below) upon which aggregate (SUM, COUNT, AVG) functions are applied. We now wish to dis-aggregate time data for another type of analysis. Our current data table design: +---------+---------+------------+---------------------+---------------------+--------+------+ | User ID | Work ID | Machine ID | Event Start Time | Event End Time | Output | Time | +---------+---------+------------+---------------------+---------------------+--------+------+ | 080025 | ABC123 | M01 | 2008-01-24 16:19:15 | 2008-01-24 16:34:45 | 2120 | 930 | +---------+---------+------------+---------------------+---------------------+--------+------+ Reprocessing dis-aggregation that we would like to do would be to transform table content based on a granularity of minutes, rather than the current production event ("Event Start Time" and "Event End Time") granularity. The resulting reprocessing of existing table rows would look like: +---------+---------+------------+---------------------+--------+ | User ID | Work ID | Machine ID | Production Minute | Output | +---------+---------+------------+---------------------+--------+ | 080025 | ABC123 | M01 | 2010-01-24 16:19 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:20 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:21 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:22 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:23 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:24 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:25 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:26 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:27 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:28 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:29 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:30 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:31 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:22 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:33 | 133 | | 080025 | ABC123 | M01 | 2010-01-24 16:34 | 133 | +---------+---------+------------+---------------------+--------+ So the reprocessing would take an existing row of data created at the granularity of production event and modify the granularity to minutes, eliminating redundant (Event End Time, Time) columns while doing so. It assumes a constant rate of production and divides output by the difference in minutes plus one to populate the new table's Output column. I know this can be done in code...but can it be done entirely in a MySQL insert statement (or otherwise entirely in MySQL)? I am thinking of a INSERT ... INTO construction but keep getting stuck. An additional complexity is that there are hundreds of machines to include in the operation so there will be multiple rows (one for each machine) for each minute of the day. Any ideas would be much appreciated. Thanks.

    Read the article

  • MySQL, An Ideal Choice for The Cloud

    - by Bertrand Matthelié
    As the world's most popular web database, MySQL has quickly become the leading database for the cloud, with most providers offering MySQL-based services. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Access our Resource Kit to discover: Why MySQL has become the leading database in the cloud, and how it addresses the critical attributes of cloud-based deployments How ISVs rely on MySQL to power their SaaS offerings Best practices to deploy the world’s most popular open source database in public and private clouds Normal 0 false false false EN-US X-NONE X-NONE You will also find out how you can leverage MySQL together with Hadoop and other technologies to unlock the value of Big Data, either on-premise or in the cloud. Access white papers, webinars, case studies and other resources in /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} our Resource Kit now!

    Read the article

  • How to proceed setting up a secondary mysql linux slave?

    - by Algorist
    I have a mysql database master and slave in production. I want to setup additional mysql slave. There is around 15 Terabyte of data in the database and there are MYISAM and InnoDB tables in the database. I am thinking of below options: Shutdown master database and copy the mysql data folder to secondary slave. Can Innodb tables be copied like this? Run flush table with read lock, scp the file to new slave and unlock the table and this is possible for myisam tables, can I do the same for innodb tables too? Thanks for looking at the question.

    Read the article

  • How to generate the right password format for Apache2 authentication in use with DBD and MySQL 5.1?

    - by Walkman
    I want to authenticate users for a folder from a MySQL 5.1 database with AuthType Basic. The passwords are stored in plain text (they are not really passwords, so doesn't matter). The password format for apache however only allows for SHA1, MD5 on Linux systems as described here. How could I generate the right format with an SQL query ? Seems like apache format is a binary format with a lenght of 20, but the mysql SHA1 function return 40 long. My SQL query is something like this: SELECT CONCAT('{SHA}', BASE64_ENCODE(SHA1(access_key))) FROM user_access_keys INNER JOIN users ON user_access_keys.user_id = users.id WHERE name = %s where base64_encode is a stored function (Mysql 5.1 doesn't have TO_BASE64 yet). This query returns a 61 byte BLOB which is not the same format that apache uses. How could I generate the same format ? You can suggest other method for this too. The point is that I want to authenticate users from a MySQL5.1 database using plain text as password.

    Read the article

  • What could cause sudden crash of a MySQL 5.0.67 installation?

    - by Alex R
    I have an old Ubuntu 8.10 32-bit with MySQL 5.0.67. There's 5.7GB of data in it and it grows by about 100MB every day. About 3 days ago, the MySQL instance begin dying suddenly and quitely (no log entry) during the nightly mysqldump. What could be causing it? Upgrading MySQL is a long-term project for me, unless there happens to be a specific bug in 5.0.67 then I guess I'll just need to reprioritize. I'm hoping somebody might be familiar with this problem since this is a fairly popular version bundled with Ubuntu 8.10. Thanks

    Read the article

  • Open Source Survey: Oracle Products on Top

    - by trond-arne.undheim
    Oracle continues to work with the open source community to bring the most innovative and productive software to market (more). Oracle products received the most votes in several key categories of the 2010 Linux Journal Reader's Choice Awards. With over 12,000 technologists reporting, these product earned top spots: Best Office Suite: OpenOffice.org Best Single Office Program: OpenOffice.org Writer Best Database: MySQL Best Virtualization Solution: VirtualBox "As the leading open source technology and service provider, Oracle continues to work with the community stakeholders to rapidly innovate many open source products for use in fully tested production environments," says Edward Screven, Oracle's chief corporate architect. "Supporting open source is important to Oracle and our customers, and we continue to invest in it." According to a recent report by the Linux Foundation, Oracle is one of the top ten contributors to the Linux Kernel. Oracle also contributes millions of lines of code to these important projects: OpenJDK: 7,002,579 Eclipse: 1,800,000 (#3 in active committers) MySQL: 5,073,113 NetBeans: 7,870,446 JSF: 701,980 Apache MyFaces Trinidad: 1,316,840 Hudson: 1,209,779 OpenOffice.org: 7,500,000

    Read the article

  • Pitfalls of using MySQL as your database choice?

    - by Sergio
    I've read online on multiple occassions that MySQL is a bad database. The places I've read this include some threads on Reddit, but they never seem to delve in on why it's a poor product. Is there any truth to this claim? I've never used it beyond a very simple CRUD scenario, and that was for a university project during my second year. What pitfalls, if any, are there when choosing MySQL as your database?

    Read the article

  • Tap into MySQL's Amazing Performance Results with the Performance Tuning Course

    - by Antoinette O'Sullivan
    Want to leverage the high-speed load utilities, distinctive memory caches, full text indexes, and other performance-enhancing mechanisms that MySQL offers to fuel today's critical business systems. The authentic MySQL Performance Tuning course, in 4 days, teaches you to evaluate the MySQL architecture, learn to use the tools, configure the database for performance, tune application and SQL code, tune the server, examine the storage engines, assess the application architecture, and learn general tuning concepts. You can take this course in one the following three ways: Training-on-Demand: Access the streaming video, instructor delivery of this course from your own desk, at your own pace. Book time for hands-on practice when it suits you. Live-Virtual Class: Take this instructor-led class live from your own desk. With 700 events on the schedule you are sure to find a time and date to suit you! In-Class: Travel to a classroom to take this class. A sample of events on the schedule are as follows.  Location  Date  Delivery Language  Hamburg, Germany  22 October 2012  German  Prague, Czech Republic  1 October 2012  Czech  Warsaw, Poland  3 December 2012  Polish  London, England  19 November 2012  English  Rome, Italy  23 October 2012  Italian Lisbon, Portugal  6 November 2012  European Portugese  Aix en Provence, France  4 September 2012   French  Strasbourg, France 16 October 2012   French  Nieuwegein, Netherlands 26 November 2012   Dutch  Madrid, Spain 17 December 2012   Spanish  Mechelen, Belgium  1 October 2012  English  Riga, Latvia  10 December 2012  Latvian  Petaling Jaya, Malaysia  10 September 2012 English   Edmonton, Canada 10 December 2012   English  Vancouver, Canada 10 December 2012   English  Ottawa, Canada 26 November 2012   English  Toronto, Canada 26 November 2012   English  Montreal, Canada 26 November 2012   English  Mexico City, Mexico 10 September 2012   Spanish  Sao Paolo, Brazil 26 November 2012  Brazilian Portugese   Tokyo, Japan 19 November 2012   Japanese  Tokyo, Japan  19 November 2012  Japanese For further information on this class, or to register your interest in additional events, go to the Oracle University Portal: http://oracle.com/education/mysql

    Read the article

  • Using Upstart after building Apache & Mysql from source

    - by Tek
    I'm using Ubuntu 10.10, Apache 2.2.17 and Mysql 5.5.10. I need some assistance getting Apache and Mysql running on boot. Reading the getting started over at upstart website attempting to get it to work. I added /etc/init/apache2.conf along with the following line: exec /usr/local/apache2/bin/apachectl I'm probably doing everything wrong, could someone point me in the right direction? Thanks. :)

    Read the article

  • Using Upstart after building Apache & Mysql from source.

    - by Tek
    I'm using Ubuntu 10.10, Apache 2.2.17 and Mysql 5.5.10. I need some assistance getting Apache and Mysql running on boot. Reading the getting started over at upstart website attempting to get it to work. I added /etc/init/apache2.conf along with the following line: exec /usr/local/apache2/bin/apachectl I'm probably doing everything wrong, could someone point me in the right direction? Thanks. :)

    Read the article

  • i got mysql error on this statement i don't know why [closed]

    - by John Smiith
    i got mysql error on this statement i don't know why error is: #1064 - You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near 'CONSTRAINT fk_objet_code FOREIGN KEY (objet_code) REFERENCES objet(code) ) ENG' at line 6 sql code is CREATE TABLE IF NOT EXISTS `class` ( `numero` int(11) NOT NULL AUTO_INCREMENT, `type_class` varchar(100) DEFAULT NULL, `images` varchar(200) NOT NULL, PRIMARY KEY (`numero`) CONSTRAINT fk_objet_code FOREIGN KEY (objet_code) REFERENCES objet(code) ) ENGINE=InnoDB;;

    Read the article

facebook twitter digg google delicious technorati stumbleupon myspace wordpress linkedin gmail igoogle windows live tumblr viadeo yahoo buzz yahoo mail yahoo bookmarks favorites email print

< Previous Page | 15 16 17 18 19 20 21 22 23 24 25 26  | Next Page >