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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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  • Solaris cluster - what is running where

    - by Eddy
    Hello, how can one tell which resources (FS, process etc....) are part of a specific cluster configuration? IE: after logging in to the global zone, how can I identify the resources that are running under cluster monitoring? Regards, Edoardo

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  • 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

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  • 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.

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  • 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.

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  • 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.

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  • 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!

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  • 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.

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  • 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.

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  • 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

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  • 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

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  • Exchange 2007 two node cluster setup on Windows 2008 Enterprise, install error

    - by Shadow00Caster
    I am installing Microsoft Exchange 2007 x64 in a two node environment using Microsoft Windows 2008 Enterprise x64. The Failover Cluster is all setup properly and following best practices for setting up the windows clustering for use with Exchange 2007. All the validation tests pass on the cluster and all of that portion is working fine. The problem is when I go to install the first Exchange node as an Active mailbox in configuration for a two node CCR. It gets all the way through the first 3 steps (Copy Exchange Files, Management Tools, Mailbox Role) and then fails on the 4th step 'Clustered Mailbox Server' with the following error: Error: The clustered mailbox server's group 'XXXX' was not found, and should already exist. Firewalls are all disabled, DNS is all setup properly, the environment has 3 domain controllers all 2k8 ent x64, all replication works. The name I pick for the CCR cluster (XXX) does not exist in AD or in DNS. I have attempted this install from both of the two Exchange nodes and multiple times .. tried with different names. I have been banging my head against the wall for days working on this and would appreciate any feedback on the issue.

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  • Hyper-V virtual machine can't be migrated to a specific host in the cluster

    - by Massimo
    I have a three-node Hyper-V cluster running on Windows Server 2008 R2 which is working quite flawlessly: there are no errors, live migration works, all hosts can and will happily run all virtual machines, and so on. But one specific virtual machinee is trying to make me go mad: it works on two nodes of the cluster, but not on the third one. Whenever I try to move the VM to that node, be it in a live migration or with the VM powered off, it always fails. In the event log of the host these events are logged: Source: Hyper-V-VMMS Event ID: 16300 Cannot load a virtual machine configuration: General access denied error (0x80070005) (Virtual machine ID <GUID>) Source: Hyper-V-VMMS Evend ID: 20100 The Virtual Machine Management Service failed to register the configuration for the virtual machine '<GUID>' at 'C:\ClusterStorage\<PATH>\<VM>': General access denied error (0x80070005) Source: Hyper-V-High-Availability Event ID: 21102 'Virtual Machine Configuration <VM>' failed to register the virtual machine with the virtual machine management service. All other VMs can be moved to/from the offending host, and the offending VM can be moved between the other two hosts. Also, this is not a storage problem, because there are other VMs in the same cluster volume, and the host has no troubles running them. What's going on here?

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  • 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?

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  • 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

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  • 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. :)

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  • 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. :)

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  • hyper-v cluster behavior when losing network connectivity

    - by ChristopheD
    Setup: (rather new) Hyper-V R2 cluster with 2 nodes (in failover configuration). Fysical host OS: Windows Server 2008. About eight VM's (mixed: Windows Server 2008 and Linux) Yesterday we had a power outage of about 15 minutes. Our blades are on UPS so the fysical host machines (Windows Server 2008) never went down. Our main switches are not on UPS (yet) and we saw the behaviour similar to the following (as distilled from the event logs). The nodes in the cluster lost means of communication (because the external switches went down). The cluster wants to bring down one (the first) of the nodes (to start failover?). The previous step impacts clustered storage where the virtual machine VHD's are located. All VM's got brutally terminated and were found in a failed state in the failover manager in the host OS'es. The Linux VM's were kernel panicking and looked like they had their disk ripped out. This whole setup is rather new to us, so we are still learning about this. The question: We are putting switches on UPS soon but were wondering if the above is expected behavior (seems rather fragile) or if there are obvious improvements configuration-wise to handle such scenario's ? I can upload an evtx file concerning what exactly was going on in case that's necessary.

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  • 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;;

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  • Experience with asymmetrical (non-identical hardware) SQL Server 2005 / Win 2003 cluster

    - by user24161
    I am reasonably good at dealing with SQL Server clusters; I am wondering if folks have experience, good or bad, using a mix of different models of servers from the same vendor in one SQL 2005 cluster. Suppose: I have one more powerful, more RAM, more shizzle box and one less powerful, less memory, less shizzle box bound together in a 2-node cluster. These would be HP DL380 and 580 machines (not that it should matter) I understand AND automate the process of managing memory for each SQL instance, so there's no memory contention when SQL instances fail over. Basically I am thinking a CLR proc will monitor the instances and self-regulate memory caps on each instance, so that they won't page or step on one another. I get the fact the instances might be slower and or under memory pressure if they share a "lesser" node, and that's OK. The business can deal with a slower instance in a server-problem scenario. Reasonable? Any "gotchas" to watch out for? More info 10/28: doing some experiments with a test cluster I find that reconfiguring max/min memory is OK PROVIDED the instance isn't already under memory pressure. If I torture the system with a huge query that demands a big chunk of RAM, and simultaneously adjust the memory allocation to a smaller value than what is being actively used, it's possible to run the instance out of memory and have it halt and restart itself (unhappy situation). Many ugly out-of-memory messages in the error log, crashing, burning... It's an extreme case, but good to know. Seems, then, that it would only be really safe to set this on startup of the instance, as in have a startup script that says "I am on node1, so my RAM settings are X or I am on node two, so they are Y," like this: http://sqlblog.com/blogs/aaron_bertrand... Update: I am testing a SQL Agent + PowerShell solution described in more detail here.

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  • apostrophe in mysql/php

    - by fusion
    i'm trying to learn php/mysql. inserting data into mysql works fine but inserting those with apostrophe is generating an error. i tried using mysql_real_escape_string, yet this doesn't work. would appreciate any help. <?php include 'config.php'; echo "Connected <br />"; $auth = $_POST['author']; $quo = $_POST['quote']; $author = mysql_real_escape_string($auth); $quote = mysql_real_escape_string($quo); //************************** //inserting data $sql="INSERT INTO Quotes (vauthor, cquotes) VALUES ($author, $quote)"; if (!mysql_query($sql,$conn)) { die('Error: ' . mysql_error()); } echo "1 record added"; ... what am i doing wrong?

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  • Mac OS X, MySQL Preference Pane doesn't work

    - by Steve Kuo
    I downloaded and installed MySQL 5.1.47 for OS X 10.6 using the DMG archive: mysql-5.1.47-osx10.6-x86_64.dmg I also installed MySQL.prefPane and MySQLStartupItem.pkg. MySQL.prefPane is a Preference Pane. The problem is, whenever I attempt to start/stop MySQL from the Preference Pane, System Preferences just hangs. It runs at about 50% CPU forever, eventually I have for force quit System Preferences. The same thing happens if I toggle "Automatically Start MySQL Server on Startup". Basically the MySQL Preference Pane is not functional. Note that I have no problem starting MySQL from the command line: sudo /usr/local/mysql/bin/mysqld_safe I have tried reinstalling MySQL and the Preference Pane. I'm using the standard installation location, nothing out of the ordinary. Every time the MySQL Preference Pane just hangs. I'm doing this on a Macbook Pro (Intel) running OS X 10.6.3. There are no old versions of MySQL on this machine.

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  • Can't connect to local MySQL server through socket

    - by Martin
    I was trying to tune the performance of a running mysql-server by running this command: mysqld_safe --key_buffer_size=64M --table_cache=256 --sort_buffer_size=4M --read_buffer_size=1M & After this i'm unable to connect mysql from the server where mysql is running. I get this error: ERROR 2002 (HY000): Can't connect to local MySQL server through socket '/var/run/mysqld/mysqld.sock' (111) However, luckily i can still connect to mysql remotely. So all my webservers still have access to mysql and are running without any problems. Because of this though i don't want to try to restart the mysql server since that will probably fuck everything up. Now i know that mysqld_safe is starting the mysql-server, and since the mysql server was already running i guess it's some kind of problem with two mysql servers running and listening to the same port. Is there some way to solve this problem without restarting the initial mysql server? UPDATE: This is what ps xa | grep "mysql" says: 11672 ? S 0:00 /bin/sh /usr/bin/mysqld_safe 11780 ? Sl 175:04 /usr/sbin/mysqld --basedir=/usr --datadir=/var/lib/mysql --user=mysql --pid-file=/var/run/mysqld/mysqld.pid --socket=/var/run/mysqld/mysqld.sock --port=3306 11781 ? S 0:00 logger -t mysqld -p daemon.error 12432 pts/0 R+ 0:00 grep mysql

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