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  • Oracle WebLogic Server 11g(10.3.4) ?????????

    - by Natsuki.Wakabayashi
    Fusion Middleware 11g(11.1.1.4.0)?????????????Oracle WebLogic Server 11g(10.3.4)????????????????????????????????????????????????????"Get Started"???????????????????????????? WebLogic Server????·??? WebLogic Server???? ????·???????????????·??? ?????????????????? ?????????·????·??? Oracle WebLogic Server?????????·?????? ?????????·??? Oracle WebLogic Server??? WebLogic Server?????????    Smart Update????????????·?????????? ???????·??? Oracle WebLogic Server???? ?????????????????????????????????~~ ??????????????????????????Oracle WebLogic Server 11g(10.3.4)??????

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  • ???????/???Oracle on Windows - ???? Oracle VM/Hyper-V?? -

    - by user788995
    ????? ??:2011/04/13 ??:??????/?? ?????? Oracle Database ??????????????????????????????? Windows ????????Oracle VM?Hyper-V????????????? Oracle Database ????????????????????? ?????? Oracle Database ????????Oracle VM ??? Oracle Database ????Hyper-V ??? Oracle Database ???????????? Oracle Database ?????? ????????? ????????????????? http://otndnld.oracle.co.jp/ondemand/otn-seminar/movie/Win04131500.wmv http://otndnld.oracle.co.jp/ondemand/otn-seminar/movie/mp4/Win04131500.mp4 http://www.oracle.com/technetwork/jp/ondemand/db-technique/0413-1500-virtualization-366288-ja.pdf

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  • 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.

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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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  • Oracle Solaris 11 Summit Day at the LISA Conference 2011-Register Today!

    - by Terri Wischmann
    We have successfully launched and shipped Oracle Solaris 11!  Come to the LISA 2011 Conference in Boston, MA to learn about all the latest and greatest Oracle Solaris 11 technologies. On Tuesday, 12/6/11 we are hosting our 2nd annual Oracle Solaris 11 Summit Day! It's a Free full day of sessions covering the latest OS technologies, and a chance for you to meet key members of the Oracle Solaris engineering team as they conduct a deep-dive exploration of core Solaris features. See agenda below -Register Today!!  Time  Topic  Presenter  9:00 -9:30 am  Oracle Solaris 11 Strategy  Markus Flierl  9:30 - 11:00 am  Next Generation OS Lifecycle Management with Oracle Solaris 11  Dave Miner/Bart Smaalders  11:00 am  - 12:00 pm  Data Management with ZFS  Mark Maybee  12:00 - 1:00 pm  LUNCH  All  1:00 - 2:30 pm Oracle Solaris Virtualization and Oracle Solaris Networking  Mike Gerdts/Sebastian Roy 2:30 - 3:15 pm Security in your Oracle Solaris Cloud Environment  Glenn Faden  3:15 - 3:30 pm  BREAK  All  3:30 - 4:15 pm Oracle Solaris - The Best Platform to run your Oracle Applications David Brean  4:15 - 5:00 pm Oracle Solaris Cluster - HA in the Cloud Gia-Khahn Nguyen  5:00 - 6:30 pm  Reception  All

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  • October 2013 FMW Proactive Patches Released

    - by mustafakaya
    The following Fusion Middleware (FMW) Proactive  patches were released on October 15, 2013. Bundle Patches : Bundle patches are collections of controlled, well tested critical bug fixes for a specific product  which may include security contents and occasionally minor enhancements. These are cumulative in nature meaning the latest bundle patch in a particular series includes the contents of the previous bundle patches released.  A suite bundle patch is an aggregation of multiple product  bundle patches that are part of a product suite. Oracle Identity Management Suite Bundle Patch 11.1.1.5.5 consisting of Oracle Identity Manager (OIM) 11.1.1.5.9 bundle patch Oracle Access Manager (OAM) 11.1.1.5.6 bundle patch. Oracle Adaptive Access Manager (OAAM) 11.1.1.5.2 bundle patch. Oracle Entitlement Server (OES) 11.1.1.5.4 bundle patch. Oracle Identity Management Suite Bundle Patch 11.1.2.0.4 consisting of Oracle Access Manager (OAM) 11.1.2.0.4 bundle patch. Oracle Adaptive Access Manager (OAAM) 11.1.2.0.2 bundle patch. Oracle Entitlement Server (OES) 11.1.2.0.2 bundle patch. Oracle Identity Analytics (OIA ) 11.1.1.5.6  bundle patch. Oracle GlassFish Server (OGFS) 2.1.1.22, 3.0.1.8 and 3.1.2.7 bundle patches. Oracle iPlanet Web Server (OiWS) 7.0.18 bundle patch Oracle SOA Suite (SOA) 11.1.1.7.1 bundle patch Oracle WebCenter Portal (WCP) 11.1.1.8.1 bundle patch Sun Role Manager (SRM) 4.1.7 and 5.0.3.2 bundle patches. Patch Set Updates (PSU) Patch Set Updates (PSU)  are collections of well controlled, well tested critical bug fixes for a specific product  that have been proven in customer environments. PSUs  may include security contents but no  enhancements are included. These are cumulative in nature meaning the latest PSU  in a particular series includes the contents of the previous PSUs  released.  Oracle Exalogic 2.0.3.0.4 Physical Linux x86-64 and 2.0.4.0.4 Physical Solaris x86-64 PSUs. Oracle WebLogic Server 10.3.6.0.6 and 12.1.1.0.6 PSUs. Critical Patch Update (CPU) : The Critical Patch Update program is Oracle's quarterly release of security fixes. The following additional patches were released as part of Oracle's Critical Patch Update program: Oracle JDeveloper 11.1.2.3.0, 11.1.2.4.0 and 12.1.2.0.0 Oracle Outside In Technology 8.4.0 and  8.4.1 Oracle Portal 11.1.1.6.0 Oracle Security Service  11.1.1.6.0, 11.1.1.7.0 and 12.1.2.0.0 Oracle WebCache 11.1.1.6.0 and 11.1.1.7.0 Oracle WebCenter Content 10.1.3.5.1, 11.1.1.6.0, 11.1.1.7.0 and 11.1.1.8.0 Oracle WebServices 10.1.3.5.0 and 11.1.1.6.0 For more information; Master Notes on Fusion Middleware Proactive Patching. PSU and CPU October 2013  Availability Document Critical Patch Update Advisory -  October 2013 

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  • Next-Generation Data Integration on Oracle Exadata

    - by Julien Testut
    Normal 0 false false false EN-US X-NONE X-NONE Companies are currently faced with increasing data volumes and retention times while simultaneously batch windows are shrinking. In the ‘Next-Generation Data Integration on Oracle Exadata’ session we will be discussing how Oracle with its innovative Data Integration solution along with Exadata can help companies tackle that challenge. Oracle Data Integrator and Oracle GoldenGate provide industry-leading performance and scalability for data integration on Oracle Exadata. They are both uniquely designed to take full advantage of the power of the database and to eliminate unnecessary middle-tier components which can often be bottlenecks for data movement and transformation. Combined with the extreme performance provided by Exadata our Data Integration products help companies move towards a more efficient and flexible data integration infrastructure. 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:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; 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;} If you’re interested in hearing more about how our customers maximize the performance of their Exadata systems while minimizing batch windows, all without adding more hardware resources join us for the following session: 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:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; 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;} 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:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; 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;} Next-Generation Data Integration on Oracle Exadata  Thursday October, 4th - 11:15AM - 12:15PM Moscone West – Room 3005 We also have many other exciting sessions including 'Oracle Data Integrator Product Update and Future Strategy' on October 2nd at 1:15PM in Moscone West Room 3005. In this session we will discuss the ODI roadmap and its integration with engineered systems such as the Oracle Big Data Appliance. It's a session not to be missed! You can find a list of all the Data Integration sessions happening at Oracle OpenWorld in this document: Focus On Data Integration. If you will not be able to come to OpenWorld, for more information please check out our data sheet Oracle Data Integration Solutions and the Oracle Exadata Database Machine. /* 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:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; 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;}

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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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  • Oracle TimesTen In-Memory Database Performance on SPARC T4-2

    - by Brian
    The Oracle TimesTen In-Memory Database is optimized to run on Oracle's SPARC T4 processor platforms running Oracle Solaris 11 providing unsurpassed scalability, performance, upgradability, protection of investment and return on investment. The following demonstrate the value of combining Oracle TimesTen In-Memory Database with SPARC T4 servers and Oracle Solaris 11: On a Mobile Call Processing test, the 2-socket SPARC T4-2 server outperforms: Oracle's SPARC Enterprise M4000 server (4 x 2.66 GHz SPARC64 VII+) by 34%. Oracle's SPARC T3-4 (4 x 1.65 GHz SPARC T3) by 2.7x, or 5.4x per processor. Utilizing the TimesTen Performance Throughput Benchmark (TPTBM), the SPARC T4-2 server protects investments with: 2.1x the overall performance of a 4-socket SPARC Enterprise M4000 server in read-only mode and 1.5x the performance in update-only testing. This is 4.2x more performance per processor than the SPARC64 VII+ 2.66 GHz based system. 10x more performance per processor than the SPARC T2+ 1.4 GHz server. 1.6x better performance per processor than the SPARC T3 1.65 GHz based server. In replication testing, the two socket SPARC T4-2 server is over 3x faster than the performance of a four socket SPARC Enterprise T5440 server in both asynchronous replication environment and the highly available 2-Safe replication. This testing emphasizes parallel replication between systems. Performance Landscape Mobile Call Processing Test Performance System Processor Sockets/Cores/Threads Tps SPARC T4-2 SPARC T4, 2.85 GHz 2 16 128 218,400 M4000 SPARC64 VII+, 2.66 GHz 4 16 32 162,900 SPARC T3-4 SPARC T3, 1.65 GHz 4 64 512 80,400 TimesTen Performance Throughput Benchmark (TPTBM) Read-Only System Processor Sockets/Cores/Threads Tps SPARC T3-4 SPARC T3, 1.65 GHz 4 64 512 7.9M SPARC T4-2 SPARC T4, 2.85 GHz 2 16 128 6.5M M4000 SPARC64 VII+, 2.66 GHz 4 16 32 3.1M T5440 SPARC T2+, 1.4 GHz 4 32 256 3.1M TimesTen Performance Throughput Benchmark (TPTBM) Update-Only System Processor Sockets/Cores/Threads Tps SPARC T4-2 SPARC T4, 2.85 GHz 2 16 128 547,800 M4000 SPARC64 VII+, 2.66 GHz 4 16 32 363,800 SPARC T3-4 SPARC T3, 1.65 GHz 4 64 512 240,500 TimesTen Replication Tests System Processor Sockets/Cores/Threads Asynchronous 2-Safe SPARC T4-2 SPARC T4, 2.85 GHz 2 16 128 38,024 13,701 SPARC T5440 SPARC T2+, 1.4 GHz 4 32 256 11,621 4,615 Configuration Summary Hardware Configurations: SPARC T4-2 server 2 x SPARC T4 processors, 2.85 GHz 256 GB memory 1 x 8 Gbs FC Qlogic HBA 1 x 6 Gbs SAS HBA 4 x 300 GB internal disks Sun Storage F5100 Flash Array (40 x 24 GB flash modules) 1 x Sun Fire X4275 server configured as COMSTAR head SPARC T3-4 server 4 x SPARC T3 processors, 1.6 GHz 512 GB memory 1 x 8 Gbs FC Qlogic HBA 8 x 146 GB internal disks 1 x Sun Fire X4275 server configured as COMSTAR head SPARC Enterprise M4000 server 4 x SPARC64 VII+ processors, 2.66 GHz 128 GB memory 1 x 8 Gbs FC Qlogic HBA 1 x 6 Gbs SAS HBA 2 x 146 GB internal disks Sun Storage F5100 Flash Array (40 x 24 GB flash modules) 1 x Sun Fire X4275 server configured as COMSTAR head Software Configuration: Oracle Solaris 11 11/11 Oracle TimesTen 11.2.2.4 Benchmark Descriptions TimesTen Performance Throughput BenchMark (TPTBM) is shipped with TimesTen and measures the total throughput of the system. The workload can test read-only, update-only, delete and insert operations as required. Mobile Call Processing is a customer-based workload for processing calls made by mobile phone subscribers. The workload has a mixture of read-only, update, and insert-only transactions. The peak throughput performance is measured from multiple concurrent processes executing the transactions until a peak performance is reached via saturation of the available resources. Parallel Replication tests using both asynchronous and 2-Safe replication methods. For asynchronous replication, transactions are processed in batches to maximize the throughput capabilities of the replication server and network. In 2-Safe replication, also known as no data-loss or high availability, transactions are replicated between servers immediately emphasizing low latency. For both environments, performance is measured in the number of parallel replication servers and the maximum transactions-per-second for all concurrent processes. See Also SPARC T4-2 Server oracle.com OTN Oracle TimesTen In-Memory Database oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Disclosure Statement Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 1 October 2012.

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  • Die glücklichen Gewinner der Oracle Partner Awards Germany 2012

    - by A&C Redaktion
    Es war ein Höhepunkt des Oracle Partner Days: Die Award Ceremony, auf der deutsche Oracle Partner für ihr besonderes Engagement und herausragende Erfolge bei der Spezialisierung ausgezeichnet wurden. Jeder Preisträger erhielt neben dem Award eine Urkunde sowie einen Wertscheck in Höhe von 2.000 Euro für eine Demand Generation Kampagne. Wir gratulieren allen Gewinnern ganz herzlich und stellen sie Ihnen im Folgenden kurz vor:Database Partner of the Year Germany: inforsacom Informationssysteme GmbHDass der EMEA Database Partner of the Year inforsacom auch im bundesweiten Vergleich überzeugen würde, war keine große Überraschung, ist aber ein Riesenerfolg! Übrigens war inforsacom auch schon 2011 unter den Preisträgern des OPN Day Satellite (wir berichteten). Der Platinum Partner inforsacom Informationssysteme GmbH entwickelt und liefert seit 1997 integrierte IT-Lösungen im Data-Center. Als „trusted advisor“ ist es ein Schwerpunkt von Inforsacom, in der Beratung den größtmöglichen Kundennutzen aufzuzeigen. inforsacom setzt einen deutlichen Fokus auf Oracle Datenbanktechnologien sowie das Hardware und Engineered Systems Portfolio -  inklusive der damit verbundenen Spezialisierung und Ausbildung der Mitarbeiter. Middleware Partner of the Year Germany: People at Work Systems AGZum Middleware Partner of the Year wurde die People at Work Systems AG gekürt, ein Software- und Beratungsunternehmen aus München, das  Kunden individuelle Dienstleistungen und Lösungen für Customer Relationship Management (CRM) und  Business Process Management (BPM) auf der Basis von Oracle anbietet. Seit Jahren zeigt der Oracle Partner ein hohes Commitment zu Oracle, unter anderem durch sein umfassendes Engagement im Rahmen der Solution Partner Community SOA. Die große technologische und vertriebliche Kompetenz in Sachen BPM, SOA & Integration hat die People at Work GmbH in verschiedenen komplexen Fusion Middleware-Projekten erfolgreich unter Beweis gestellt. Applications Partner of the Year Germany: ifb AGDie ifb-group deckt als einer der wenigen Partner das komplette Hyperion, Oracle EPM und BI Portfolio ab. Dabei ist das Markenzeichen der ifb die enge Verbindung von Fachexpertise und Umsetzungsstärke, denn weltweit setzen über 800 Unternehmen seit vielen Jahren erfolgreich auf Lösungen der ifb. Der Award „Applications Partner of the Year“ würdigt die Spezialisierung der ifb auf EPM. Industry Partner of the Year Germany: PORTRIX LOGISTIC SOFTWARE GmbHÜber den Preis als bester Industry Partner freute sich die PORTRIX LOGISTIC SOFTWARE GmbH aus Hamburg, eine Tochter der portrix.net GmbH. Mit einer eigenen Software-Lösung bietet der ISV Speditionen eine Lösung an, die die Abrechnung und Transparenz von Vertragskonditionen über die ganze Transportkette hinweg vereinfacht. Die Unternehmensgruppe portrix.net ist mit mehr als vier Spezialisierungen mit sehr gutem Oracle Know-how ausgestattet und somit in der Lage, zu unterschiedlichsten Anforderungen von Endkunden und Oracle Partnern exzellent zu beraten. Oracle Accelerate Partner of the Year Germany: ICP Solution GmbHICP Solution unterstützt als "One-Stop-Shop" auf dem europäischen Markt Kunden in allen Fragen rund um PLM und Agile von Oracle. Das Leistungsspektrum reicht dabei von der Prozessoptimierung und PLM Einführung, über ERP Integration bis hin zum Wartungsvertrag und speziellen Schulungen.Server & Storage Systems Partner of the Year Germany: CCF AGDie CCF AG ist schon seit 19 Jahren ein überzeugter Sun/Oracle Partner, der ca. 90% seines Umsatzes mit Sun/Oracle Produkten macht. Als flexibles regionales Unternehmen mit angeschlossener Consulting Firma, die auf Solaris und Unix spezialisiert ist, ist die CCF einer der wenigen Oracle Partner mit eigenen Solaris Administratoren. Der Award würdigt auch die herausragenden Umsatzergebnisse von CCF im Hardware Segment.Oracle on Oracle Partner of the Year Germany: anykey GmbHAuch ankey ist bereits ein langjähriger Partner von Sun/Oracle und verfügt über hohes Consulting-Know-how. 2012 ist anykey richtig durchgestartet: Viele Zertifizierungen sowie Datenbankspezialisierung wurden erworben und der Platinum Partner hat sich damit den Bereich „Oracle on Oracle“ erschlossen. Durch die erfolgreiche Platzierung bei Kunden konnte anykey im letzten Fiskaljahr sogar den Umsatz verdoppeln.

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  • Announcing Oracle Knowledge 8.5: Even Superheroes Need Upgrades

    - by Richard Lefebvre
    It’s no secret that we like Iron Man here at Oracle. We've certainly got stuff in common: one of the world’s largest technology companies and one of the world’s strongest technology-driven superheroes. If you've seen the recent Iron Man movies, you might have even noticed some of our servers sitting in Tony Stark’s lab. Heck, our CEO made a cameo appearance in one of the movies. Yeah, we’re fans. Especially as Iron Man is a regular guy with some amazing technology – like us. But Like all great things even Superheroes need upgrades, whether it’s their suit, their car or their spacestation. Oracle certainly has its share of advanced technology.  For example, Oracle acquired InQuira in 2011 after years of watching the company advance the science of Knowledge Management.  And it was some extremely super technology.  At that time, Forrester’s Kate Leggett wrote about it in ‘Standalone Knowledge Management Is Dead With Oracle's Announcement To Acquire InQuira’ saying ‘Knowledge, accessible via web self-service or agent UIs, is a critical customer service component for industries fielding repetitive questions about policies, procedures, products, and solutions.’  One short sentence that amounts to a very tall order.  Since the acquisition our KM scientists have been hard at work in their labs. Today Oracle announced its first major knowledge management release since its acquisition of InQuira: Oracle Knowledge 8.5. We’ve put a massively-upgraded supersuit on our KM solution because we still have bad guys to fight. And we are very proud to say that we went way beyond our original plans. So what, exactly, did we do in Oracle Knowledge 8.5? We did what any high-tech super-scientist would do. We made Oracle Knowledge smarter, stronger and faster. First, we gave Oracle Knowledge a stronger heart: Certified on Oracle technologies, including Oracle WebLogic Server, Oracle Business Intelligence, Oracle Exadata Database Machine and Oracle Exalogic Elastic Cloud. Huge scaling and performance improvements. Then we gave it a better reach: Improved iConnect functionality that delivers contextualized knowledge directly into CRM applications. Better content acquisition support across disparate sources. Enhanced Language Support including Natural Language search support for 16 Languages. Enhanced Keyword Search for 23 authoring languages, as well as enhanced out-of-the-box industry ontologies covering 14 languages. And finally we made Oracle Knowledge ridiculously smarter: Improved Natural Language Search and a new Contextual Answer Delivery that understands the true intent of each inquiry to deliver the best possible answers. AnswerFlow for Guided Navigation & Answer Delivery, a new application for guided troubleshooting and answer delivery. Knowledge Analytics standardized on Oracle’s Business Intelligence Enterprise Edition. Knowledge Analytics Dashboards optimized search and content creation through targeted, actionable insights. A new three-level language model "Global - Language - Locale" that provides an improved search experience for organizations with a global footprint. We believe that Oracle Knowledge 8.5 is the most sophisticated KM solution in existence today and we’ve worked very hard to help it fulfill the promise of KM: empowering customers and employees with deep insights wherever they need them. We hope you agree it’s a suit worth wearing. We are continuing to invest in Knowledge Management as it continues to be especially relevant today with the enterprise push for peer collaboration, crowd-sourced wisdom, agile innovation, social interaction channels, applied real-time analytics, and personalization. In fact, we believe that Knowledge Management is a critical part of the Customer Experience portfolio for success. From empowering employee’s, to empowering customers, to gaining the insights from interactions across all channels, businesses today cannot efficiently scale their efforts, strengthen their customer relationships or achieve their growth goals without a solid Knowledge Management foundation to build from. And like every good superhero saga, we’re not even close to being finished. Next we are taking Oracle Knowledge into the Cloud. Yes, we’re thinking what you’re thinking: ROCKET BOOTS! Stay tuned for the next adventure… By Nav Chakravarti, Vice-President, Product Management, CRM Knowledge and previously the CTO of InQuira, a knowledge management company acquired by Oracle in 2011

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  • Quarterly E-Business Suite Upgrade Recommendations: October 2012 Edition

    - by Steven Chan (Oracle Development)
    I've previously published advice on the general priorities for applying EBS updates.  But what are your top priorities for major upgrades to EBS and its technology stack components? Here is a summary of our latest upgrade recommendations for E-Business Suite updates and technology stack components.  These quarterly recommendations are based upon the latest updates to Oracle's product strategies, support deadlines, and newly-certified releases.  Upgrade Recommendations for October 2012 EBS 11i users should upgrade to 12.1.3, or -- if staying on 11i -- should be on the minimum 11i patching baseline, EBS 12.0 users should upgrade to 12.1.3, or -- if staying on 12.0 -- should be on the minimum 12.0 patching baseline, EBS 12.1 users should upgrade to 12.1.3. Oracle Database 10gR2 and 11gR1 users should upgrade to 11gR2 11.2.0.3. EBS 12 users of Oracle Single Sign-On 10g users should migrate to Oracle Access Manager 11g 11.1.1.5. EBS 11i users of  Oracle Single Sign-On 10g users should migrate to Oracle Access Manager 10g 10.1.4.3. Oracle Internet Directory 10g users should upgrade to Oracle Internet Directory 11g 11.1.1.6. Oracle Discoverer users should migrate to Oracle Business Intelligence Enterprise Edition (OBIEE), Oracle Business Intelligence Applications (OBIA), or Discoverer 11g 11.1.1.6. Oracle Portal 10g users should migrate to Oracle WebCenter 11g 11.1.1.6 or upgrade to Portal 11g 11.1.1.6. All Windows desktop users should migrate from JInitiator and older Java releases to JRE 1.6.0_35 or later 1.6 updates. All Firefox users should upgrade to Firefox Extended Support Release 10. Related Articles Extended Support Fees Waived for E-Business Suite 11i and 12.0 On Database Patching and Support: A Primer for E-Business Suite Users On Apps Tier Patching and Support: A Primer for E-Business Suite Users EBS Support Information Center + Patching & Maintenance Advisor Available on My Oracle Support What's the Best Way to Patch an E-Business Suite Environment?

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  • 13 Lösungen für eine höhere Sicherheit in einer Oracle Datenbank (Best Practices)

    - by C.Muetzlitz
    Externe Einflüsse wie Gesetze fordern die IT auf, (unsere) Daten zu schützen. Doch wie prüft man die eingestellte Sicherheit einer Oracle Datenbank überhaupt? Ist die geforderte Sicherheit ausreichend umgesetzt und zwar im Idealfall entsprechend dem notwendigen Schutzbedarf? Wann haben Sie eigentlich die Sicherheit Ihrer Oracle Datenbank das letzte Mal überprüft? Und noch besser gefragt, kennen Sie die Bedrohungen und die davon abgeleiteten Risiken? Alles Fragen deren Antworten ein verantwortlicher Anwendungsbesitzer sofort parat haben sollte oder sehen Sie das anders? Wie kann man sich am besten vor Bedrohungen schützen? Die einzige richtige Antwort auf diese Frage ist, durch Informationen und daraus abgeleitetes Wissen. Nun umfassen Informationen und das darin versteckte Wissen wahrscheinlich sehr viele Quellen. D.h. es wird immer schwieriger sich das richtige Wissen anzueignen und dieses Wissen für den Schutz von Daten und Datenbanken anzuwenden.Betrachtet man die Oracle Datenbank, dann empfehle ich zwei wesentliche Bereiche, die man tun muss bzw. wissen sollte. Die Best Practices Lösungen kennen, die man implementieren sollte und teilweise muss, um gute Sicherheit zu garantieren.Ich nenne diesen Bereich „13 Lösungen für eine höhere Sicherheit in einer Oracle Datenbank (Best Practices)“ Wie sieht der wirkliche Sicherheitszustand einer Oracle Datenbank aus.Diesen Bereich nenne ich „Check Oracle DB Security“ In diesem Beitrag möchte ich Sie nun in die Grundlagen einer guten Oracle Datenbank Sicherheit einführen und Sie befähigen, den Sicherheitszustand Ihrer Datenbank selber bestimmen zu können. 13 Lösungen für eine höhere Sicherheit in einer Oracle Datenbank (Best Practices)“  Password-Management aktiveren:Seien Sie sich bewusst, dass schwache Passwords eine hohe Bedrohung bedeuten. Aktivieren Sie ein vernünftiges Password Management Kennen Sie den Funktionsumfang Ihrer aktuellen Datenbank Version, auch die Funktionen, die nicht mehr unterstützt werden.Der "New Feature und Upgrade Guide" sollte eine Pflichtlektüre werden. Implementieren Sie eine passende Mindestsicherheit.Oracle liefert hier viele Vorgaben. Haben Sie das Rollen- und Account Management im GriffHier geht es um eine kontrollierte Privilegien-Vergabe (Least Privileg), eine Zwecktrennung im Account Management und eine andauernde Überprüfung des Rollenmanagements und Zugriffskonzepts Sicheres Datenbank Link Konzept implementierenGerade im Bereich der Datenintegration werden wiederholt DB Links in der Datenbank konfiguriert. Diese Links eröffnen u.U. unkontrollierte Zugriffe auf entfernte Datenbanken. Tracken Sie den Zugriff und setzen Sie ein sicheres DB Link Konzept um. Oracle liefert hier die entsprechenden Vorgaben. Definieren Sie Schutz-Policies für Ihre Anwendungen.Hierunter fällt z.B. ein richtiges Anwendungs-Owner und Anwendungs-User Setup Implementieren Sie den notwendigen Datenschutz für wichtige DatenKennen Sie die Daten, die geschützt werden müssen und schützen Sie diese angemessen. Kontrollieren Sie den Ressourcenverbrauch in Ihrer Datenbank Implementieren Sie eine sinnvolle Zwecktrennung in der DatenbankAuch bei der Datenbank ist es sinnvoll eine Zwecktrennung zu implementieren. Schalten Sie eine sinnvolle und gesetzeskonforme Protokollierung ein.Gesetze erfordern das und Oracle gibt eine Mindestprotokollierung vor. Implementieren Sie Prozesse, die den guten Zustand der Datenbank erhalten Führen Sie regelmäßige Health- Checks durchOracle liefert z.B. mit dem Enterprise Manager eine vollständige Library. Definieren Sie ein funktionierendes Patch-ManagementKennen Sie die Critical Patch Updates und handeln Sie falls notwendig. Check Oracle DB Security oder wer den Sicherheitszustand nicht kennt, wird auch keine Maßnahmen ergreifen Den Sicherheitszustand einer Oracle Datenbank zu überprüfen, ist sehr wichtig. Hierfür kann man verschiedene Anwendungen nutzen, die im Markt erhältlich sind. Eine gute Entscheidung wäre z.B. den Oracle Enterprise Manager (Cloud Control) mit dem Lifecycle Management zu nutzen, der periodisch den Sicherheitszustand für Sie ermittelt. Eine manuelle Überprüfung ist auch möglich, erfordert aber tiefes Wissen. Doch auch trotz der hohen Wissensanforderung ist ein Verstehen, wie man eine Oracle Datenbank manuell auf Sicherheit überprüft, wichtig. Vertrauen Sie nicht mehr auf Vermutungen, sondern nehmen Sie die Sicherheit Ihrer Datenbank ernst und lernen Sie den realen Zustand Ihrer Datenbank kennen. Wissen über reale Zustände und Wissen über geeignete Konzepte schützen. Erst dann können Sie entscheiden, welche Maßnahmen tatsächlich notwendig sind. Weiterführende Informationen: Oracle Online Dokumentation für die Datenbank Verschiedene Artikel in der Knowledge Base vom Oracle Support Das neue Buch „Oracle Security in der Praxis. Vollständige Sicherheitsüberprüfung Ihrer Oracle Datenbank“.

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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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  • Oracle CRM On Demand R17 and Pharma's Future

    - by charles.knapp
    By Denis Pombriant, Beagle Research, March 30 "Oracle announced Release 17 of CRM On-Demand today along with an updated vertical market version for the pharmaceutical industry. Seventeen is a lot of releases even for a SaaS company and Oracle should be proud of the milestone. The same is true of the emphasis on the pharmaceutical industry vertical. Oracle comes to the pharma CRM market with an assist from Siebel, the one time independent leader in CRM that Oracle bought a few years back. Before the acquisition Siebel and its pharma package had managed to corner about nineteen of the top twenty pharmaceutical companies. For a time in the last decade you could go from job to job as a pharma rep taking your Siebel skills with you and feel right at home. The writing on the wall now though is that pharmaceutical sales is transitioning to a SaaS model and Oracle is managing the transition for its customers. Oracle's done a good job of keeping up with changes in the industry and you have to admit that pharma sales is a different kettle of fish than almost anything else in CRM." For additional insights, read here.

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  • Partner Webcast – Platform as a Service with Oracle WebLogic and OpenStack

    - by Thanos Terentes Printzios
    Platform as a service is defined as Platform that facilitates the deployment of applications without the complexity of buying and managing the underlying hardware and software and provisioning hosting capabilities. For Java EE, that would mean an elastic Java EE platform, where the user (IT admin) deploys the application, and then the platform itself takes care of meeting the SLA. With combination of Oracle WebLogic 12c with Dynamic Clusters, Oracle Solaris 11.2 with OpenStack and some scripting, we can completely automate infrastructure and platform provisioning, effectively providing PaaS to the IT users. Join us in this webcast as explore the usage of Weblogic 12c with Openstack, to establish Platform as a Service. Agenda: PaaS overview and goals Overview of Solaris 11.2 with OpenStack Deploying WebLogic domain to Solaris 11.2 and creating base image Automating provisioning Solution Demo Summary & Q&A Delivery Format This FREE online LIVE eSeminar will be delivered over the Web. Registrations received less than 24hours prior to start time may not receive confirmation to attend. Presenter:  Jernej Kase – FMW Specialist, Oracle Partner Hub Migration Center Date: Thursday, June 26th, 10am CET (9am GMT/11am EEST) Duration: 1 hour Register Here: http://www.oracle.com/go/?Src=8101420&Act=4&pcode=EMEAPM14056477MPP002 For any questions please contact us at partner.imc-AT-beehiveonline.oracle-DOT-com Stay Connected Oracle Newsletters

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