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• MySQL is running VERY slow

  - by user1032531

  I have two servers: a VPS and a laptop. I recently re-built both of them, and MySQL is running about 20 times slower on the laptop. Both servers used to run CentOS 5.8 and I think MySQL 5.1, and the laptop used to do great so I do not think it is the hardware. For the VPS, my provider installed CentOS 6.4, and then I installed MySQL 5.1.69 using yum with the CentOS repo. For the laptop, I installed CentOS 6.4 basic server and then installed MySQL 5.1.69 using yum with the CentOS repo. my.cnf for both servers are identical, and I have shown below. For both servers, I've also included below the output from SHOW VARIABLES; as well as output from sysbench, file system information, and cpu information. I have tried adding skip-name-resolve, but it didn't help. The matrix below shows the SHOW VARIABLES output from both servers which is different. Again, MySQL was installed the same way, so I do not know why it is different, but it is and I think this might be why the laptop is executing MySQL so slowly. Why is the laptop running MySQL slowly, and how do I fix it? Differences between SHOW VARIABLES on both servers +---------------------------+-----------------------+-------------------------+ | Variable | Value-VPS | Value-Laptop | +---------------------------+-----------------------+-------------------------+ | hostname | vps.site1.com | laptop.site2.com | | max_binlog_cache_size | 4294963200 | 18446744073709500000 | | max_seeks_for_key | 4294967295 | 18446744073709500000 | | max_write_lock_count | 4294967295 | 18446744073709500000 | | myisam_max_sort_file_size | 2146435072 | 9223372036853720000 | | myisam_mmap_size | 4294967295 | 18446744073709500000 | | plugin_dir | /usr/lib/mysql/plugin | /usr/lib64/mysql/plugin | | pseudo_thread_id | 7568 | 2 | | system_time_zone | EST | PDT | | thread_stack | 196608 | 262144 | | timestamp | 1372252112 | 1372252046 | | version_compile_machine | i386 | x86_64 | +---------------------------+-----------------------+-------------------------+ my.cnf for both servers [root@server1 ~]# cat /etc/my.cnf [mysqld] datadir=/var/lib/mysql socket=/var/lib/mysql/mysql.sock user=mysql # Disabling symbolic-links is recommended to prevent assorted security risks symbolic-links=0 [mysqld_safe] log-error=/var/log/mysqld.log pid-file=/var/run/mysqld/mysqld.pid innodb_strict_mode=on sql_mode=TRADITIONAL # sql_mode=STRICT_TRANS_TABLES,NO_ZERO_DATE,NO_ZERO_IN_DATE character-set-server=utf8 collation-server=utf8_general_ci log=/var/log/mysqld_all.log [root@server1 ~]# VPS SHOW VARIABLES Info Same as Laptop shown below but changes per above matrix (removed to allow me to be under the 30000 characters as required by ServerFault) Laptop SHOW VARIABLES Info auto_increment_increment 1 auto_increment_offset 1 autocommit ON automatic_sp_privileges ON back_log 50 basedir /usr/ big_tables OFF binlog_cache_size 32768 binlog_direct_non_transactional_updates OFF binlog_format STATEMENT bulk_insert_buffer_size 8388608 character_set_client utf8 character_set_connection utf8 character_set_database latin1 character_set_filesystem binary character_set_results utf8 character_set_server latin1 character_set_system utf8 character_sets_dir /usr/share/mysql/charsets/ collation_connection utf8_general_ci collation_database latin1_swedish_ci collation_server latin1_swedish_ci completion_type 0 concurrent_insert 1 connect_timeout 10 datadir /var/lib/mysql/ date_format %Y-%m-%d datetime_format %Y-%m-%d %H:%i:%s default_week_format 0 delay_key_write ON delayed_insert_limit 100 delayed_insert_timeout 300 delayed_queue_size 1000 div_precision_increment 4 engine_condition_pushdown ON error_count 0 event_scheduler OFF expire_logs_days 0 flush OFF flush_time 0 foreign_key_checks ON ft_boolean_syntax + -><()~*:""&| ft_max_word_len 84 ft_min_word_len 4 ft_query_expansion_limit 20 ft_stopword_file (built-in) general_log OFF general_log_file /var/run/mysqld/mysqld.log group_concat_max_len 1024 have_community_features YES have_compress YES have_crypt YES have_csv YES have_dynamic_loading YES have_geometry YES have_innodb YES have_ndbcluster NO have_openssl DISABLED have_partitioning YES have_query_cache YES have_rtree_keys YES have_ssl DISABLED have_symlink DISABLED hostname server1.site2.com identity 0 ignore_builtin_innodb OFF init_connect init_file init_slave innodb_adaptive_hash_index ON innodb_additional_mem_pool_size 1048576 innodb_autoextend_increment 8 innodb_autoinc_lock_mode 1 innodb_buffer_pool_size 8388608 innodb_checksums ON innodb_commit_concurrency 0 innodb_concurrency_tickets 500 innodb_data_file_path ibdata1:10M:autoextend innodb_data_home_dir innodb_doublewrite ON innodb_fast_shutdown 1 innodb_file_io_threads 4 innodb_file_per_table OFF 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_buffer_size 1048576 innodb_log_file_size 5242880 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_stats_method nulls_equal innodb_stats_on_metadata ON innodb_support_xa ON innodb_sync_spin_loops 20 innodb_table_locks ON innodb_thread_concurrency 8 innodb_thread_sleep_delay 10000 innodb_use_legacy_cardinality_algorithm ON insert_id 0 interactive_timeout 28800 join_buffer_size 131072 keep_files_on_create OFF key_buffer_size 8384512 key_cache_age_threshold 300 key_cache_block_size 1024 key_cache_division_limit 100 language /usr/share/mysql/english/ large_files_support ON large_page_size 0 large_pages OFF last_insert_id 0 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_bin_trust_routine_creators OFF log_error /var/log/mysqld.log log_output FILE log_queries_not_using_indexes OFF log_slave_updates OFF log_slow_queries OFF log_warnings 1 long_query_time 10.000000 low_priority_updates OFF lower_case_file_system OFF lower_case_table_names 0 max_allowed_packet 1048576 max_binlog_cache_size 18446744073709547520 max_binlog_size 1073741824 max_connect_errors 10 max_connections 151 max_delayed_threads 20 max_error_count 64 max_heap_table_size 16777216 max_insert_delayed_threads 20 max_join_size 18446744073709551615 max_length_for_sort_data 1024 max_long_data_size 1048576 max_prepared_stmt_count 16382 max_relay_log_size 0 max_seeks_for_key 18446744073709551615 max_sort_length 1024 max_sp_recursion_depth 0 max_tmp_tables 32 max_user_connections 0 max_write_lock_count 18446744073709551615 min_examined_row_limit 0 multi_range_count 256 myisam_data_pointer_size 6 myisam_max_sort_file_size 9223372036853727232 myisam_mmap_size 18446744073709551615 myisam_recover_options OFF myisam_repair_threads 1 myisam_sort_buffer_size 8388608 myisam_stats_method nulls_unequal myisam_use_mmap OFF net_buffer_length 16384 net_read_timeout 30 net_retry_count 10 net_write_timeout 60 new OFF old OFF old_alter_table OFF old_passwords OFF open_files_limit 1024 optimizer_prune_level 1 optimizer_search_depth 62 optimizer_switch index_merge=on,index_merge_union=on,index_merge_sort_union=on,index_merge_intersection=on pid_file /var/run/mysqld/mysqld.pid plugin_dir /usr/lib64/mysql/plugin port 3306 preload_buffer_size 32768 profiling OFF profiling_history_size 15 protocol_version 10 pseudo_thread_id 3 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 rand_seed1 rand_seed2 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 report_host report_password report_port 3306 report_user rpl_recovery_rank 0 secure_auth OFF secure_file_priv server_id 0 skip_external_locking ON skip_name_resolve OFF skip_networking OFF skip_show_database OFF slave_compressed_protocol OFF slave_exec_mode STRICT slave_load_tmpdir /tmp slave_max_allowed_packet 1073741824 slave_net_timeout 3600 slave_skip_errors OFF slave_transaction_retries 10 slow_launch_time 2 slow_query_log OFF slow_query_log_file /var/run/mysqld/mysqld-slow.log socket /var/lib/mysql/mysql.sock sort_buffer_size 2097144 sql_auto_is_null ON sql_big_selects ON sql_big_tables OFF sql_buffer_result OFF sql_log_bin ON sql_log_off OFF sql_log_update ON sql_low_priority_updates OFF sql_max_join_size 18446744073709551615 sql_mode sql_notes ON sql_quote_show_create ON sql_safe_updates OFF sql_select_limit 18446744073709551615 sql_slave_skip_counter 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 PDT table_definition_cache 256 table_lock_wait_timeout 50 table_open_cache 64 table_type MyISAM thread_cache_size 0 thread_handling one-thread-per-connection thread_stack 262144 time_format %H:%i:%s time_zone SYSTEM timed_mutexes OFF timestamp 1372254399 tmp_table_size 16777216 tmpdir /tmp transaction_alloc_block_size 8192 transaction_prealloc_size 4096 tx_isolation REPEATABLE-READ unique_checks ON updatable_views_with_limit YES version 5.1.69 version_comment Source distribution version_compile_machine x86_64 version_compile_os redhat-linux-gnu wait_timeout 28800 warning_count 0 VPS Sysbench Info [root@vps ~]# cat sysbench.txt sysbench 0.4.12: multi-threaded system evaluation benchmark Running the test with following options: Number of threads: 8 Doing OLTP test. Running mixed OLTP test Doing read-only test Using Special distribution (12 iterations, 1 pct of values are returned in 75 pct cases) Using "BEGIN" for starting transactions Using auto_inc on the id column Threads started! Time limit exceeded, exiting... (last message repeated 7 times) Done. OLTP test statistics: queries performed: read: 1449966 write: 0 other: 207138 total: 1657104 transactions: 103569 (1726.01 per sec.) deadlocks: 0 (0.00 per sec.) read/write requests: 1449966 (24164.08 per sec.) other operations: 207138 (3452.01 per sec.) Test execution summary: total time: 60.0050s total number of events: 103569 total time taken by event execution: 479.1544 per-request statistics: min: 1.98ms avg: 4.63ms max: 330.73ms approx. 95 percentile: 8.26ms Threads fairness: events (avg/stddev): 12946.1250/381.09 execution time (avg/stddev): 59.8943/0.00 [root@vps ~]# Laptop Sysbench Info [root@server1 ~]# cat sysbench.txt sysbench 0.4.12: multi-threaded system evaluation benchmark Running the test with following options: Number of threads: 8 Doing OLTP test. Running mixed OLTP test Doing read-only test Using Special distribution (12 iterations, 1 pct of values are returned in 75 pct cases) Using "BEGIN" for starting transactions Using auto_inc on the id column Threads started! Time limit exceeded, exiting... (last message repeated 7 times) Done. OLTP test statistics: queries performed: read: 634718 write: 0 other: 90674 total: 725392 transactions: 45337 (755.56 per sec.) deadlocks: 0 (0.00 per sec.) read/write requests: 634718 (10577.78 per sec.) other operations: 90674 (1511.11 per sec.) Test execution summary: total time: 60.0048s total number of events: 45337 total time taken by event execution: 479.4912 per-request statistics: min: 2.04ms avg: 10.58ms max: 85.56ms approx. 95 percentile: 19.70ms Threads fairness: events (avg/stddev): 5667.1250/42.18 execution time (avg/stddev): 59.9364/0.00 [root@server1 ~]# VPS File Info [root@vps ~]# df -T Filesystem Type 1K-blocks Used Available Use% Mounted on /dev/simfs simfs 20971520 16187440 4784080 78% / none tmpfs 6224432 4 6224428 1% /dev none tmpfs 6224432 0 6224432 0% /dev/shm [root@vps ~]# Laptop File Info [root@server1 ~]# df -T Filesystem Type 1K-blocks Used Available Use% Mounted on /dev/mapper/vg_server1-lv_root ext4 72383800 4243964 64462860 7% / tmpfs tmpfs 956352 0 956352 0% /dev/shm /dev/sdb1 ext4 495844 60948 409296 13% /boot [root@server1 ~]# VPS CPU Info Removed to stay under the 30000 character limit required by ServerFault Laptop CPU Info [root@server1 ~]# cat /proc/cpuinfo processor : 0 vendor_id : GenuineIntel cpu family : 6 model : 15 model name : Intel(R) Core(TM)2 Duo CPU T7100 @ 1.80GHz stepping : 13 cpu MHz : 800.000 cache size : 2048 KB physical id : 0 siblings : 2 core id : 0 cpu cores : 2 apicid : 0 initial apicid : 0 fpu : yes fpu_exception : yes cpuid level : 10 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx lm constant_tsc arch_perfmon pebs bts rep_good aperfmperf pni dtes64 monitor ds_cpl vmx est tm2 ssse3 cx16 xtpr pdcm lahf_lm ida dts tpr_shadow vnmi flexpriority bogomips : 3591.39 clflush size : 64 cache_alignment : 64 address sizes : 36 bits physical, 48 bits virtual power management: processor : 1 vendor_id : GenuineIntel cpu family : 6 model : 15 model name : Intel(R) Core(TM)2 Duo CPU T7100 @ 1.80GHz stepping : 13 cpu MHz : 800.000 cache size : 2048 KB physical id : 0 siblings : 2 core id : 1 cpu cores : 2 apicid : 1 initial apicid : 1 fpu : yes fpu_exception : yes cpuid level : 10 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx lm constant_tsc arch_perfmon pebs bts rep_good aperfmperf pni dtes64 monitor ds_cpl vmx est tm2 ssse3 cx16 xtpr pdcm lahf_lm ida dts tpr_shadow vnmi flexpriority bogomips : 3591.39 clflush size : 64 cache_alignment : 64 address sizes : 36 bits physical, 48 bits virtual power management: [root@server1 ~]# EDIT New Info requested by shakalandy [root@localhost ~]# cat /proc/meminfo MemTotal: 2044804 kB MemFree: 761464 kB Buffers: 68868 kB Cached: 369708 kB SwapCached: 0 kB Active: 881080 kB Inactive: 246016 kB Active(anon): 688312 kB Inactive(anon): 4416 kB Active(file): 192768 kB Inactive(file): 241600 kB Unevictable: 0 kB Mlocked: 0 kB SwapTotal: 4095992 kB SwapFree: 4095992 kB Dirty: 0 kB Writeback: 0 kB AnonPages: 688428 kB Mapped: 65156 kB Shmem: 4216 kB Slab: 92428 kB SReclaimable: 31260 kB SUnreclaim: 61168 kB KernelStack: 2392 kB PageTables: 28356 kB NFS_Unstable: 0 kB Bounce: 0 kB WritebackTmp: 0 kB CommitLimit: 5118392 kB Committed_AS: 1530212 kB VmallocTotal: 34359738367 kB VmallocUsed: 343604 kB VmallocChunk: 34359372920 kB HardwareCorrupted: 0 kB AnonHugePages: 520192 kB HugePages_Total: 0 HugePages_Free: 0 HugePages_Rsvd: 0 HugePages_Surp: 0 Hugepagesize: 2048 kB DirectMap4k: 8556 kB DirectMap2M: 2078720 kB [root@localhost ~]# ps aux | grep mysql root 2227 0.0 0.0 108332 1504 ? S 07:36 0:00 /bin/sh /usr/bin/mysqld_safe --datadir=/var/lib/mysql --pid-file=/var/lib/mysql/localhost.badobe.com.pid mysql 2319 0.1 24.5 1470068 501360 ? Sl 07:36 0:57 /usr/sbin/mysqld --basedir=/usr --datadir=/var/lib/mysql --plugin-dir=/usr/lib64/mysql/plugin --user=mysql --log-error=/var/lib/mysql/localhost.badobe.com.err --pid-file=/var/lib/mysql/localhost.badobe.com.pid root 3579 0.0 0.1 201840 3028 pts/0 S+ 07:40 0:00 mysql -u root -p root 13887 0.0 0.1 201840 3036 pts/3 S+ 18:08 0:00 mysql -uroot -px xxxxxxxxxx root 14449 0.0 0.0 103248 840 pts/2 S+ 18:16 0:00 grep mysql [root@localhost ~]# ps aux | grep mysql root 2227 0.0 0.0 108332 1504 ? S 07:36 0:00 /bin/sh /usr/bin/mysqld_safe --datadir=/var/lib/mysql --pid-file=/var/lib/mysql/localhost.badobe.com.pid mysql 2319 0.1 24.5 1470068 501356 ? Sl 07:36 0:57 /usr/sbin/mysqld --basedir=/usr --datadir=/var/lib/mysql --plugin-dir=/usr/lib64/mysql/plugin --user=mysql --log-error=/var/lib/mysql/localhost.badobe.com.err --pid-file=/var/lib/mysql/localhost.badobe.com.pid root 3579 0.0 0.1 201840 3028 pts/0 S+ 07:40 0:00 mysql -u root -p root 13887 0.0 0.1 201840 3048 pts/3 S+ 18:08 0:00 mysql -uroot -px xxxxxxxxxx root 14470 0.0 0.0 103248 840 pts/2 S+ 18:16 0:00 grep mysql [root@localhost ~]# vmstat 1 procs -----------memory---------- ---swap-- -----io---- --system-- -----cpu----- r b swpd free buff cache si so bi bo in cs us sy id wa st 0 0 0 742172 76376 371064 0 0 6 6 78 202 2 1 97 1 0 0 0 0 742164 76380 371060 0 0 0 16 191 467 2 1 93 5 0 0 0 0 742164 76380 371064 0 0 0 0 148 388 2 1 98 0 0 0 0 0 742164 76380 371064 0 0 0 0 159 418 2 1 98 0 0 0 0 0 742164 76380 371064 0 0 0 0 145 380 2 1 98 0 0 0 0 0 742164 76380 371064 0 0 0 0 166 429 2 1 97 0 0 1 0 0 742164 76380 371064 0 0 0 0 148 373 2 1 98 0 0 0 0 0 742164 76380 371064 0 0 0 0 149 382 2 1 98 0 0 0 0 0 742164 76380 371064 0 0 0 0 168 408 2 0 97 0 0 0 0 0 742164 76380 371064 0 0 0 0 165 394 2 1 98 0 0 0 0 0 742164 76380 371064 0 0 0 0 159 354 2 1 98 0 0 0 0 0 742164 76388 371060 0 0 0 16 180 447 2 0 91 6 0 0 0 0 742164 76388 371064 0 0 0 0 143 344 2 1 98 0 0 0 1 0 742784 76416 370044 0 0 28 580 360 678 3 1 74 23 0 1 0 0 744768 76496 367772 0 0 40 1036 437 865 3 1 53 43 0 0 1 0 747248 76596 365412 0 0 48 1224 561 923 3 2 53 43 0 0 1 0 749232 76696 363092 0 0 32 1132 512 883 3 2 52 44 0 0 1 0 751340 76772 361020 0 0 32 1008 472 872 2 1 52 45 0 0 1 0 753448 76840 358540 0 0 36 1088 512 860 2 1 51 46 0 0 1 0 755060 76936 357636 0 0 28 1012 481 922 2 2 52 45 0 0 1 0 755060 77064 357988 0 0 12 896 444 902 2 1 53 45 0 0 1 0 754688 77148 358448 0 0 16 1096 506 1007 1 1 56 42 0 0 2 0 754192 77268 358932 0 0 12 1060 481 957 1 2 53 44 0 0 1 0 753696 77380 359392 0 0 12 1052 512 1025 2 1 55 42 0 0 1 0 751028 77480 359828 0 0 8 984 423 909 2 2 52 45 0 0 1 0 750524 77620 360200 0 0 8 788 367 869 1 2 54 44 0 0 1 0 749904 77700 360664 0 0 8 928 439 924 2 2 55 43 0 0 1 0 749408 77796 361084 0 0 12 976 468 967 1 1 56 43 0 0 1 0 748788 77896 361464 0 0 12 992 453 944 1 2 54 43 0 1 1 0 748416 77992 361996 0 0 12 784 392 868 2 1 52 46 0 0 1 0 747920 78092 362336 0 0 4 896 382 874 1 1 52 46 0 0 1 0 745252 78172 362780 0 0 12 1040 444 923 1 1 56 42 0 0 1 0 744764 78288 363220 0 0 8 1024 448 934 2 1 55 43 0 0 1 0 744144 78408 363668 0 0 8 1000 461 982 2 1 53 44 0 0 1 0 743648 78488 364148 0 0 8 872 443 888 2 1 54 43 0 0 1 0 743152 78548 364468 0 0 16 1020 511 995 2 1 55 43 0 0 1 0 742656 78632 365024 0 0 12 928 431 913 1 2 53 44 0 0 1 0 742160 78728 365468 0 0 12 996 470 955 2 2 54 44 0 1 1 0 739492 78840 365896 0 0 8 988 447 939 1 2 52 46 0 0 1 0 738872 78996 366352 0 0 12 972 442 928 1 1 55 44 0 1 1 0 738244 79148 366812 0 0 8 948 549 1126 2 2 54 43 0 0 1 0 737624 79312 367188 0 0 12 996 456 953 2 2 54 43 0 0 1 0 736880 79456 367660 0 0 12 960 444 918 1 1 53 46 0 0 1 0 736260 79584 368124 0 0 8 884 414 921 1 1 54 44 0 0 1 0 735648 79716 368488 0 0 12 976 450 955 2 1 56 41 0 0 1 0 733104 79840 368988 0 0 12 932 453 918 1 2 55 43 0 0 1 0 732608 79996 369356 0 0 16 916 444 889 1 2 54 43 0 1 1 0 731476 80128 369800 0 0 16 852 514 978 2 2 54 43 0 0 1 0 731244 80252 370200 0 0 8 904 398 870 2 1 55 43 0 1 1 0 730624 80384 370612 0 0 12 1032 447 977 1 2 57 41 0 0 1 0 730004 80524 371096 0 0 12 984 469 941 2 2 52 45 0 0 1 0 729508 80636 371544 0 0 12 928 438 922 2 1 52 46 0 0 1 0 728888 80756 371948 0 0 16 972 439 943 2 1 55 43 0 0 1 0 726468 80900 372272 0 0 8 960 545 1024 2 1 54 43 0 1 1 0 726344 81024 372272 0 0 8 464 490 1057 1 2 53 44 0 0 1 0 726096 81148 372276 0 0 4 328 441 1063 2 1 53 45 0 1 1 0 726096 81256 372292 0 0 0 296 387 975 1 1 53 45 0 0 1 0 725848 81380 372284 0 0 4 332 425 1034 2 1 54 44 0 1 1 0 725848 81496 372300 0 0 4 308 386 992 2 1 54 43 0 0 1 0 725600 81616 372296 0 0 4 328 404 1060 1 1 54 44 0 procs -----------memory---------- ---swap-- -----io---- --system-- -----cpu----- r b swpd free buff cache si so bi bo in cs us sy id wa st 0 1 0 725600 81732 372296 0 0 4 328 439 1011 1 1 53 44 0 0 1 0 725476 81848 372308 0 0 0 316 441 1023 2 2 52 46 0 1 1 0 725352 81972 372300 0 0 4 344 451 1021 1 1 55 43 0 2 1 0 725228 82088 372320 0 0 0 328 427 1058 1 1 54 44 0 1 1 0 724980 82220 372300 0 0 4 336 419 999 2 1 54 44 0 1 1 0 724980 82328 372320 0 0 4 320 430 1019 1 1 54 44 0 1 1 0 724732 82436 372328 0 0 0 388 363 942 2 1 54 44 0 1 1 0 724608 82560 372312 0 0 4 308 419 993 1 2 54 44 0 1 0 0 724360 82684 372320 0 0 0 304 421 1028 2 1 55 42 0 1 0 0 724360 82684 372388 0 0 0 0 158 416 2 1 98 0 0 1 1 0 724236 82720 372360 0 0 0 6464 243 855 3 2 84 12 0 1 0 0 724112 82748 372360 0 0 0 5356 266 895 3 1 84 12 0 2 1 0 724112 82764 372380 0 0 0 3052 221 511 2 2 93 4 0 1 0 0 724112 82796 372372 0 0 0 4548 325 1067 2 2 81 16 0 1 0 0 724112 82816 372368 0 0 0 3240 259 829 3 1 90 6 0 1 0 0 724112 82836 372380 0 0 0 3260 309 822 3 2 88 8 0 1 1 0 724112 82876 372364 0 0 0 4680 326 978 3 1 77 19 0 1 0 0 724112 82884 372380 0 0 0 512 207 508 2 1 95 2 0 1 0 0 724112 82884 372388 0 0 0 0 138 361 2 1 98 0 0 1 0 0 724112 82884 372388 0 0 0 0 158 397 2 1 98 0 0 1 0 0 724112 82884 372388 0 0 0 0 146 395 2 1 98 0 0 2 0 0 724112 82884 372388 0 0 0 0 160 395 2 1 98 0 0 1 0 0 724112 82884 372388 0 0 0 0 163 382 1 1 98 0 0 1 0 0 724112 82884 372388 0 0 0 0 176 422 2 1 98 0 0 1 0 0 724112 82884 372388 0 0 0 0 134 351 2 1 98 0 0 0 0 0 724112 82884 372388 0 0 0 0 190 429 2 1 97 0 0 0 0 0 724104 82884 372392 0 0 0 0 139 358 2 1 98 0 0 0 0 0 724848 82884 372392 0 0 0 4 211 432 2 1 97 0 0 1 0 0 724980 82884 372392 0 0 0 0 166 370 2 1 98 0 0 0 0 0 724980 82884 372392 0 0 0 0 164 397 2 1 98 0 0 ^C [root@localhost ~]#

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• Reverse subarray of an array with O(1)

  - by Babibu

  I have an idea how to implement sub array reverse with O(1), not including precalculation such as reading the input. I will have many reverse operations, and I can't use the trivial solution of O(N). Edit: To be more clear I want to build data structure behind the array with access layer that knows about reversing requests and inverts the indexing logic as necessary when someone wants to iterate over the array. Edit 2: The data structure will only be used for iterations I been reading this and this and even this questions but they aren't helping. There are 3 cases that need to be taking care of: Regular reverse operation Reverse that including reversed area Intersection between reverse and part of other reversed area in the array Here is my implementation for the first two parts, I will need your help with the last one. This is the rule class: class Rule { public int startingIndex; public int weight; } It is used in my basic data structure City: public class City { Rule rule; private static AtomicInteger _counter = new AtomicInteger(-1); public final int id = _counter.incrementAndGet(); @Override public String toString() { return "" + id; } } This is the main class: public class CitiesList implements Iterable<City>, Iterator<City> { private int position; private int direction = 1; private ArrayList<City> cities; private ArrayDeque<City> citiesQeque = new ArrayDeque<>(); private LinkedList<Rule> rulesQeque = new LinkedList<>(); public void init(ArrayList<City> cities) { this.cities = cities; } public void swap(int index1, int index2){ Rule rule = new Rule(); rule.weight = Math.abs(index2 - index1); cities.get(index1).rule = rule; cities.get(index2 + 1).rule = rule; } @Override public void remove() { throw new IllegalStateException("Not implemented"); } @Override public City next() { City city = cities.get(position); if (citiesQeque.peek() == city){ citiesQeque.pop(); changeDirection(); position += (city.rule.weight + 1) * direction; city = cities.get(position); } if(city.rule != null){ if(city.rule != rulesQeque.peekLast()){ rulesQeque.add(city.rule); position += city.rule.weight * direction; changeDirection(); citiesQeque.push(city); } else{ rulesQeque.removeLast(); position += direction; } } else{ position += direction; } return city; } private void changeDirection() { direction *= -1; } @Override public boolean hasNext() { return position < cities.size(); } @Override public Iterator<City> iterator() { position = 0; return this; } } And here is a sample program: public static void main(String[] args) { ArrayList<City> list = new ArrayList<>(); for(int i = 0 ; i < 20; i++){ list.add(new City()); } CitiesList citiesList = new CitiesList(); citiesList.init(list); for (City city : citiesList) { System.out.print(city + " "); } System.out.println("\n******************"); citiesList.swap(4, 8); for (City city : citiesList) { System.out.print(city + " "); } System.out.println("\n******************"); citiesList.swap(2, 15); for (City city : citiesList) { System.out.print(city + " "); } } How do I handle reverse intersections?

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• Java Spotlight Episode 103: 2012 Duke Choice Award Winners

  - by Roger Brinkley

  Our annual interview with the 2012 Duke Choice Award Winners recorded live at the JavaOne 2012. Right-click or Control-click to download this MP3 file. You can also subscribe to the Java Spotlight Podcast Feed to get the latest podcast automatically. If you use iTunes you can open iTunes and subscribe with this link:  Java Spotlight Podcast in iTunes. Show Notes Events Oct 13, Devoxx 4 Kids Nederlands Oct 15-17, JAX London Oct 20, Devoxx 4 Kids Français Oct 22-23, Freescale Technology Forum - Japan, Tokyo Oct 30-Nov 1, Arm TechCon, Santa Clara Oct 31, JFall, Netherlands Nov 2-3, JMagreb, Morocco Nov 13-17, Devoxx, Belgium Feature Interview Duke Choice Award Winners 2012 - Show Presentation London Java CommunityThe second user group receiving a Duke’s Choice Award this year, the London Java Community (LJC) and its users have been active in the OpenJDK, the Java Community Process (JCP) and other efforts within the global Java community. Student Nokia Developer GroupThis year’s student winner, Ram Kashyap, is the founder and president of the Nokia Student Network, and was profiled in the “The New Java Developers” feature in the March/April 2012 issue of Java Magazine. Since then, Ram has maintained a hectic pace, graduating from the People’s Education Society Institute of Technology in Bangalore, India, while working on a Java mobile startup and training students on Java ME. Jelastic, Inc.Moving existing Java applications to the cloud can be a daunting task, but startup Jelastic, Inc. offers the first all-Java platform-as-a-service (PaaS) that enables existing Java applications to be deployed in the cloud without code changes or lock-in. NATOThe first-ever Community Choice Award goes to the MASE Integrated Console Environment (MICE) in use at NATO. Built in Java on the NetBeans platform, MICE provides a high-performance visualization environment for conducting air defense and battle-space operations. DuchessRather than focus on a specific geographic area like most Java User Groups (JUGs), Duchess fosters the participation of women in the Java community worldwide. The group has more than 500 members in 60 countries, and provides a platform through which women can connect with each other and get involved in all aspects of the Java community. AgroSense ProjectImproving farming methods to feed a hungry world is the goal of AgroSense, an open source farm information management system built in Java and the NetBeans platform. AgroSense enables farmers, agribusinesses, suppliers and others to develop modular applications that will easily exchange information through a common underlying NetBeans framework. Apache Software Foundation Hadoop ProjectThe Apache Software Foundation’s Hadoop project, written in Java, provides a framework for distributed processing of big data sets across clusters of computers, ranging from a few servers to thousands of machines. This harnessing of large data pools allows organizations to better understand and improve their business. Parleys.comE-learning specialist Parleys.com, based in Brussels, Belgium, uses Java technologies to bring online classes and full IT conferences to desktops, laptops, tablets and mobile devices. Parleys.com has hosted more than 1,700 conferences—including Devoxx and JavaOne—for more than 800,000 unique visitors. Winners not presenting at JavaOne 2012 Duke Choice Awards BOF Liquid RoboticsRobotics – Liquid Robotics is an ocean data services provider whose Wave Glider technology collects information from the world’s oceans for application in government, science and commercial applications. The organization features the “father of Java” James Gosling as its chief software architect.United Nations High Commissioner for RefugeesThe United Nations High Commissioner for Refugees (UNHCR) is on the front lines of crises around the world, from civil wars to natural disasters. To help facilitate its mission of humanitarian relief, the UNHCR has developed a light-client Java application on the NetBeans platform. The Level One registration tool enables the UNHCR to collect information on the number of refugees and their water, food, housing, health, and other needs in the field, and combines that with geocoding information from various sources. This enables the UNHCR to deliver the appropriate kind and amount of assistance where it is needed.

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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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• Willy Rotstein on Supply Chain Planning

  - by sarah.taylor(at)oracle.com

  Each time a merchandiser, buyer or planner in Retail makes a business decision around assortment, inventory, pricing and promotions there is an opportunity to improve both Profitability and Customer Service. Improving decision making, however, has always been a tricky business for retailers.  I have worked in this space for more than 15 years. I began my career as an academic, at Imperial College London, and then broadened this interest with Retailers, aiming to optimize their merchandising and supply chain decisions. Planning the business and optimizing profit is a complex process. The complexity arises from the variety of people involved, the large number of decisions to take across all business processes, the uncertainty intrinsic to the retail environment as well as the volume of data available for analysis.  Things are not getting any easier either. The advent of multi-channel, social media and mobile is taking these complexities to a new level and presenting additional opportunities for those willing to exploit them. I guess it is due to the complexities of the decision making process that, over the last couple of years working with Oracle Retail, I have witnessed a clear trend around the deployment of planning systems. Retailers are aiming to simplify their decision making processes. They want to use one joined up planning platform across the business and enhance it with "actionable" data mining and optimization techniques. At Oracle Retail, we have a vibrant community of international retailers who regularly come together to discuss the big issues in retail planning. It is a combination of fashion, grocery and speciality retailers, all sharing their best practice vision for planning and optimizing merchandise decisions. As part of the Retail Exchange program, at the recent National Retail Federation event in New York, I jointly hosted a Planning dinner with Peter Fitzgerald from Google UK, Retail Division. Those retailers from our international planning community who were in New York for the annual NRF event were able to attend. The group comprised some of Europe's great International Retail brands.  All sectors were represented by organisations like Mango, LVMH, Ahold, Morrisons, Shop Direct and River Island. They confirmed the current importance of engaging with Planning and Optimization issues. In particular the impact of the internet was a key topic. We had a great debate about new retail initiatives.  Peter highlighted how mobility is changing retail - in particular with the new "local availability search" initiative. We also had an exciting discussion around the opportunities to improve merchandising using the new data that is becoming available from search, social media and ecommerce sites. It will be our focus to continue to help retailers translate this data into better results while keeping their business operations simple. New developments in "actionable" analytics and computing capacity make this a very exciting area today. Watch this space for my contributions on these topics which will be made available through this blog. Oracle Retail has a strong Planning community. if you are a category manager, a planner, a buyer, a merchandiser, a retail supplier or any retail executive with a keen interest in planning then you would be very welcome to join Oracle Retail's Planning Community. As part of our community you will be able to join our in-person and virtual events, download topical white papers and best practice information specifically tailored to your area of interest.  If anyone would like to register their interest in joining our community of retailers discussing planning then please contact me at [email protected]   Willy Rotstein, Oracle Retail

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• SQL SERVER – IO_COMPLETION – Wait Type – Day 10 of 28

  - by pinaldave

  For any good system three things are vital: CPU, Memory and IO (disk). Among these three, IO is the most crucial factor of SQL Server. Looking at real-world cases, I do not see IT people upgrading CPU and Memory frequently. However, the disk is often upgraded for either improving the space, speed or throughput. Today we will look at an IO-related wait types. From Book On-Line: Occurs while waiting for I/O operations to complete. This wait type generally represents non-data page I/Os. Data page I/O completion waits appear as PAGEIOLATCH_* waits. IO_COMPLETION Explanation: Any tasks are waiting for I/O to finish. This is a good indication that IO needs to be looked over here. Reducing IO_COMPLETION wait: When it is an issue concerning the IO, one should look at the following things related to IO subsystem: Proper placing of the files is very important. We should check the file system for proper placement of files – LDF and MDF on a separate drive, TempDB on another separate drive, hot spot tables on separate filegroup (and on separate disk),etc. Check the File Statistics and see if there is higher IO Read and IO Write Stall SQL SERVER – Get File Statistics Using fn_virtualfilestats. Check event log and error log for any errors or warnings related to IO. If you are using SAN (Storage Area Network), check the throughput of the SAN system as well as the configuration of the HBA Queue Depth. In one of my recent projects, the SAN was performing really badly so the SAN administrator did not accept it. After some investigations, he agreed to change the HBA Queue Depth on development (test environment) set up and as soon as we changed the HBA Queue Depth to quite a higher value, there was a sudden big improvement in the performance. It is very possible that there are no proper indexes in the system and there are lots of table scans and heap scans. Creating proper index can reduce the IO bandwidth considerably. If SQL Server can use appropriate cover index instead of clustered index, it can effectively reduce lots of CPU, Memory and IO (considering cover index has lesser columns than cluster table and all other; it depends upon the situation). You can refer to the two articles that I wrote; they are about how to optimize indexes: Create Missing Indexes Drop Unused Indexes Checking Memory Related Perfmon Counters SQLServer: Memory Manager\Memory Grants Pending (Consistent higher value than 0-2) SQLServer: Memory Manager\Memory Grants Outstanding (Consistent higher value, Benchmark) SQLServer: Buffer Manager\Buffer Hit Cache Ratio (Higher is better, greater than 90% for usually smooth running system) SQLServer: Buffer Manager\Page Life Expectancy (Consistent lower value than 300 seconds) Memory: Available Mbytes (Information only) Memory: Page Faults/sec (Benchmark only) Memory: Pages/sec (Benchmark only) Checking Disk Related Perfmon Counters Average Disk sec/Read (Consistent higher value than 4-8 millisecond is not good) Average Disk sec/Write (Consistent higher value than 4-8 millisecond is not good) Average Disk Read/Write Queue Length (Consistent higher value than benchmark is not good) Note: The information presented here is from my experience and there is no way that I claim it to be accurate. I suggest reading Book OnLine for further clarification. All the discussions of Wait Stats in this blog are generic and vary from system to system. It is recommended that you test this on a development server before implementing it to a production server. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Types, SQL White Papers, T SQL, Technology

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• RPi and Java Embedded GPIO: Writing Java code to blink LED

  - by hinkmond

  So, you've followed the previous steps to install Java Embedded on your Raspberry Pi ?, you went to Fry's and picked up some jumper wires, LEDs, and resistors ?, you hooked up the wires, LED, and resistor the the correct pins ?, and now you want to start programming in Java on your RPi? Yes? ???????! OK, then... Here we go. You can use the following source code to blink your first LED on your RPi using Java. In the code you can see that I'm not using any complicated gpio libraries like wiringpi or pi4j, and I'm not doing any low-level pin manipulation like you can in C. And, I'm not using python (hell no!). This is Java programming, so we keep it simple (and more readable) than those other programming languages. See: Write Java code to do this In the Java code, I'm opening up the RPi Debian Wheezy well-defined file handles to control the GPIO ports. First I'm resetting everything using the unexport/export file handles. (On the RPi, if you open the well-defined file handles and write certain ASCII text to them, you can drive your GPIO to perform certain operations. See this GPIO reference). Next, I write a "1" then "0" to the value file handle of the GPIO0 port (see the previous pinout diagram). That makes the LED blink. Then, I loop to infinity. Easy, huh? import java.io.* /* * Java Embedded Raspberry Pi GPIO app */ package jerpigpio; import java.io.FileWriter; /** * * @author hinkmond */ public class JerpiGPIO { static final String GPIO_OUT = "out"; static final String GPIO_ON = "1"; static final String GPIO_OFF = "0"; static final String GPIO_CH00="0"; /** * @param args the command line arguments */ public static void main(String[] args) { FileWriter commandFile; try { /*** Init GPIO port for output ***/ // Open file handles to GPIO port unexport and export controls FileWriter unexportFile = new FileWriter("/sys/class/gpio/unexport"); FileWriter exportFile = new FileWriter("/sys/class/gpio/export"); // Reset the port unexportFile.write(GPIO_CH00); unexportFile.flush(); // Set the port for use exportFile.write(GPIO_CH00); exportFile.flush(); // Open file handle to port input/output control FileWriter directionFile = new FileWriter("/sys/class/gpio/gpio"+GPIO_CH00+"/direction"); // Set port for output directionFile.write(GPIO_OUT); directionFile.flush(); /*--- Send commands to GPIO port ---*/ // Opne file handle to issue commands to GPIO port commandFile = new FileWriter("/sys/class/gpio/gpio"+GPIO_CH00+"/value"); // Loop forever while (true) { // Set GPIO port ON commandFile.write(GPIO_ON); commandFile.flush(); // Wait for a while java.lang.Thread.sleep(200); // Set GPIO port OFF commandFile.write(GPIO_OFF); commandFile.flush(); // Wait for a while java.lang.Thread.sleep(200); } } catch (Exception exception) { exception.printStackTrace(); } } } Hinkmond

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• Entity Framework 4, WCF &amp; Lazy Loading Tip

  - by Dane Morgridge

  If you are doing any work with Entity Framework and custom WCF services in EFv1, everything works great.  As soon as you jump to EFv4, you may find yourself getting odd errors that you can’t seem to catch.  The problem is almost always has something to do with the new lazy loading feature in Entity Framework 4.  With Entity Framework 1, you didn’t have lazy loading so this problem didn’t surface.  Assume I have a Person entity and an Address entity where there is a one-to-many relationship between Person and Address (Person has many Addresses). In Entity Framework 1 (or in EFv4 with lazy loading turned off), I would have to load the Address data by hand by either using the Include or Load Method: var people = context.People.Include("Addresses"); or people.Addresses.Load(); Lazy loading works when the first time the Person.Addresses collection is accessed: 1: var people = context.People.ToList(); 2:  3: // only person data is currently in memory 4:  5: foreach(var person in people) 6: { 7: // EF determines that no Address data has been loaded and lazy loads 8: int count = person.Addresses.Count(); 9: } 10:  Lazy loading has the useful (and sometimes not useful) feature of fetching data when requested.  It can make your life easier or it can make it a big pain.  So what does this have to do with WCF?  One word: Serialization. When you need to pass data over the wire with WCF, the data contract is serialized into either XML or binary depending on the binding you are using.  Well, if I am using lazy loading, the Person entity gets serialized and during that process, the Addresses collection is accessed.  When that happens, the Address data is lazy loaded.  Then the Address is serialized, and the Person property is accessed, and then also serialized and then the Addresses collection is accessed.  Now the second time through, lazy loading doesn’t kick in, but you can see the infinite loop caused by this process.  This is a problem with any serialization, but I personally found it trying to use WCF. The fix for this is to simply turn off lazy Loading.  This can be done at each call by using context options: context.ContextOptions.LazyLoadingEnabled = false; Turning lazy loading off will now allow your classes to be serialized properly.  Note, this is if you are using the standard Entity Framework classes.  If you are using POCO,  you will have to do something slightly different.  With POCO, the Entity Framework will create proxy classes by default that allow things like lazy loading to work with POCO.  This proxy basically creates a proxy object that is a full Entity Framework object that sits between the context and the POCO object.  When using POCO with WCF (or any serialization) just turning off lazy loading doesn’t cut it.  You have to turn off the proxy creation to ensure that your classes will serialize properly: context.ContextOptions.ProxyCreationEnabled = false; The nice thing is that you can do this on a call-by-call basis.  If you use a new context for each set of operations (which you should) then you can turn either lazy loading or proxy creation on and off as needed.

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• Announcement: Employee Info Starter Kit (v5.0) is Released

  - by Mohammad Ashraful Alam

  Ever wanted to have a simple jQuery menu bound with ASP.NET web site map file? Ever wanted to have cool css design stuffs implemented on your ASP.NET data bound controls? Ever wanted to let Visual Studio generate logical layers for you, which can be easily tested, customized and bound with ASP.NET data controls? If your answers with respect to above questions are ‘yes’, then you will probably happy to try out latest release (v5.0) of Employee Starter Kit, which is intended to address different types of real world challenges faced by web application developers when performing common CRUD operations. Using a single database table ‘Employee’, the current release illustrates how to utilize Microsoft ASP.NET 4.0 Web Form Data Controls, Entity Framework 4.0 and Visual Studio 2010 effectively in that context. Employee Info Starter Kit is an open source ASP.NET project template that is highly influenced by the concept ‘Pareto Principle’ or 80-20 rule, where it is targeted to enable a web developer to gain 80% productivity with 20% of effort with respect to learning curve and production. This project template is titled as “Employee Info Starter Kit”, which was initially hosted on Microsoft Code Gallery and been downloaded 1, 50,000+ of copies afterword.  The latest version of this starter kit is hosted in Codeplex. Release Highlights User End Functional Specification The user end functionalities of this starter kit are pretty simple and straight forward that are focused in to perform CRUD operation on employee records as described below. Creating a new employee record Read existing employee records Update an existing employee record Delete existing employee records Architectural Overview Simple 3 layer architecture (presentation, business logic and data access layer) ASP.NET web form based user interface Built-in code generators for logical layers, implemented in Visual Studio default template engine (T4) Built-in Entity Framework entities as business entities (aka: data containers) Data Mapper design pattern based Data Access Layer, implemented in C# and Entity Framework Domain Model design pattern based Business Logic Layer, implemented in C# Object Model for Cross Cutting Concerns (such as validation, logging, exception management) Minimum System Requirements Visual Studio 2010 (Web Developer Express Edition) or higher Sql Server 2005 (Express Edition) or higher Technology Utilized Programming Languages/Scripts Browser side: JavaScript Web server side: C# Code Generation Template: T-4 Template Frameworks .NET Framework 4.0 JavaScript Framework: jQuery 1.5.1 CSS Framework: 960 grid system .NET Framework Components .NET Entity Framework .NET Optional/Named Parameters (new in .net 4.0) .NET Tuple (new in .net 4.0) .NET Extension Method .NET Lambda Expressions .NET Anonymous Type .NET Query Expressions .NET Automatically Implemented Properties .NET LINQ .NET Partial Classes and Methods .NET Generic Type .NET Nullable Type ASP.NET Meta Description and Keyword Support (new in .net 4.0) ASP.NET Routing (new in .net 4.0) ASP.NET Grid View (CSS support for sorting - (new in .net 4.0)) ASP.NET Repeater ASP.NET Form View ASP.NET Login View ASP.NET Site Map Path ASP.NET Skin ASP.NET Theme ASP.NET Master Page ASP.NET Object Data Source ASP.NET Role Based Security Getting Started Guide To see Employee Info Starter Kit in action is pretty easy! Download the latest version. Extract the file. From the extracted folder click the C# project file (Eisk.Web.csproj) to open it in Visual Studio 2010 Hit Ctrl+F5! The current release (v5.0) of Employee Info Starter Kit is properly packaged, fully documented and well tested. If you want to learn more about it in details, just check the following links: Release Home Page Installation Walkthrough Hand on Coding Walkthrough Technical Reference Enjoy!

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• Employee Info Starter Kit: Project Mission

  - by Mohammad Ashraful Alam

  Employee Info Starter Kit is an open source ASP.NET project template that is intended to address different types of real world challenges faced by web application developers when performing common CRUD operations. Using a single database table ‘Employee’, it illustrates how to utilize Microsoft ASP.NET 4.0, Entity Framework 4.0 and Visual Studio 2010 effectively in that context. Employee Info Starter Kit is highly influenced by the concept ‘Pareto Principle’ or 80-20 rule. where it is targeted to enable a web developer to gain 80% productivity with 20% of effort with respect to learning curve and production. User Stories The user end functionalities of this starter kit are pretty simple and straight forward that are focused in to perform CRUD operation on employee records as described below. Creating a new employee record Read existing employee record Update an existing employee record Delete existing employee records Key Technology Areas ASP.NET 4.0 Entity Framework 4.0 T-4 Template Visual Studio 2010 Architectural Objective There is no universal architecture which can be considered as the best for all sorts of applications around the world. Based on requirements, constraints, environment, application architecture can differ from one to another. Trade-off factors are one of the important considerations while deciding a particular architectural solution. Employee Info Starter Kit is highly influenced by the concept ‘Pareto Principle’ or 80-20 rule, where it is targeted to enable a web developer to gain 80% productivity with 20% of effort with respect to learning curve and production. “Productivity” as the architectural objective typically also includes other trade-off factors as well as, such as testability, flexibility, performance etc. Fortunately Microsoft .NET Framework 4.0 and Visual Studio 2010 includes lots of great features that have been implemented cleverly in this project to reduce these trade-off factors in the minimum level. Why Employee Info Starter Kit is Not a Framework? Application frameworks are really great for productivity, some of which are really unavoidable in this modern age. However relying too many frameworks may overkill a project, as frameworks are typically designed to serve wide range of different usage and are less customizable or editable. On the other hand having implementation patterns can be useful for developers, as it enables them to adjust application on demand. Employee Info Starter Kit provides hundreds of “connected” snippets and implementation patterns to demonstrate problem solutions in actual production environment. It also includes Visual Studio T-4 templates that generate thousands lines of data access and business logic layer repetitive codes in literally few seconds on the fly, which are fully mock testable due to language support for partial methods and latest support for mock testing in Entity Framework. Why Employee Info Starter Kit is Different than Other Open-source Web Applications? Software development is one of the rapid growing industries around the globe, where the technology is being updated very frequently to adapt greater challenges over time. There are literally thousands of community web sites, blogs and forums that are dedicated to provide support to adapt new technologies. While some are really great to enable learning new technologies quickly, in most cases they are either too “simple and brief” to be used in real world scenarios or too “complex and detailed” which are typically focused to achieve a product goal (such as CMS, e-Commerce etc) from "end user" perspective and have a long duration learning curve with respect to the corresponding technology. Employee Info Starter Kit, as a web project, is basically "developer" oriented which actually considers a hybrid approach as “simple and detailed”, where a simple domain has been considered to intentionally illustrate most of the architectural and implementation challenges faced by web application developers so that anyone can dive into deep into the corresponding new technology or concept quickly. Roadmap Since its first release by 2008 in MSDN Code Gallery, Employee Info Starter Kit gained a huge popularity in ASP.NET community and had 1, 50,000+ downloads afterwards. Being encouraged with this great response, we have a strong commitment for the community to provide support for it with respect to latest technologies continuously. Currently hosted in Codeplex, this community driven project is planned to have a wide range of individual editions, each of which will be focused on a selected application architecture, framework or platform, such as ASP.NET Webform, ASP.NET Dynamic Data, ASP.NET MVC, jQuery Ajax (RIA), Silverlight (RIA), Azure Service Platform (Cloud), Visual Studio Automated Test etc. See here for full list of current and future editions.

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• Silverlight Cream for March 09, 2011 -- #1057

  - by Dave Campbell

  In this Issue: Dennis Doomen, Peter Kuhn, Michael Crump, Joe McBride, Martin Krüger, Jeremy Likness, Manas Patnaik, Jesse Liberty(-2-), WindowsPhoneGeek(-2-). Above the Fold: Silverlight: "A highlighting AutoCompleteBox in Silverlight" Peter Kuhn WP7: "WP7 WatermarkedTextBox custom control" WindowsPhoneGeek Training: "" Shoutouts: Karl Shifflett announced that he and Josh Smith have heard the developers and released a demo: Mole 2010 Demo Released This is a somewhat older post, but the material is good and I was reminded of it while talking to Josh Smith at the MVP summit last week: Advanced MVVM ... money well-spent From SilverlightCream.com: Introducing the Silverlight Cookbook Dennis Doomen unveils a Codeplex site "containing a Silverlight 4 app that includes most of the complexities you might run into" ... I'm tagging this in my WynApse outlookbar... great stuff, Dennis! A highlighting AutoCompleteBox in Silverlight Peter Kuhn took on a task in response to a forum query and created a highlighting AutoCompleteBox, and is giving it to us... this really looks cool, Peter, and great explanation. Taking a look at the Mindscape Phone Elements for WP7. Michael Crump takes a good look at the Mindscape Phone Elements for WP7... and if you read closely you might still be able to get a free license! Windows Phone – “Can’t connect to your phone. Disconnect it, Restart it, then try connecting again.” Joe McBride explains a way out of an issue that many should be seeing as we repave or replace machines... how to get our device recognized on the updated machine... without giving cryptic messages. How to: only with the full visibility of an application in the browser window start an action Martin Krüger continues his journey in starting storyboards and tackles the condition that the application is completely in the browser window prior to the storyboard starting. A Numeric Input Control for Windows Phone 7 Jeremy Likness came up with a great idea for numeric input for WP7 ... you'll smile when you see it, but what a great idea... and a NumericTextBox to go along with it. Performing CRUD on Relational Data (Multiple table) using RIA in SL4 Manas Patnaik has a post up that breaks the normal blog post or demo mold by having two tables with a relational constraint and doing CRUD operations on them. Plenty of diagrams and good information. Select Many: Reactive Extensions’ Mother Of All Operators [Chaining] Jesse Liberty has part 9 in his Rx series up, and is looking at SelectMany this time, and chaining calls. He's using WPF for the sample, but the goodness is all there for us Silverlight guys too. The Full Stack 8–Adding Search to the Phone Client Jesse Liberty and Jon Galloway have part 8 of their Full Stack series up ... this is the MVC3, ASP.NET, Silverlight, and WP7 app development series... this time out they're putting Search in the Phone client. All about ResourceDictionary in WP7 WindowsPhoneGeek is discussing ResourceDictionaries in this post... beginning with What is a ResourceDictionary and continuing out through creating and using one, plus a good comment on merging. WP7 WatermarkedTextBox custom control In his next post, WindowsPhoneGeek walks us through the creation of a WatermarkedTextBox for WP7 right from the derivation from TextBox... very nice tutorial and lots of code/examples. Stay in the 'Light! Twitter SilverlightNews | Twitter WynApse | WynApse.com | Tagged Posts | SilverlightCream Join me @ SilverlightCream | Phoenix Silverlight User Group Technorati Tags: Silverlight    Silverlight 3    Silverlight 4    Windows Phone MIX10

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• OpenGL slower than Canvas

  - by VanDir

  Up to 3 days ago I used a Canvas in a SurfaceView to do all the graphics operations but now I switched to OpenGL because my game went from 60FPS to 30/45 with the increase of the sprites in some levels. However, I find myself disappointed because OpenGL now reaches around 40/50 FPS at all levels. Surely (I hope) I'm doing something wrong. How can I increase the performance at stable 60FPS? My game is pretty simple and I can not believe that it is impossible to reach them. I use 2D sprite texture applied to a square for all the objects. I use a transparent GLSurfaceView, the real background is applied in a ImageView behind the GLSurfaceView. Some code public MyGLSurfaceView(Context context, AttributeSet attrs) { super(context); setZOrderOnTop(true); setEGLConfigChooser(8, 8, 8, 8, 0, 0); getHolder().setFormat(PixelFormat.RGBA_8888); mRenderer = new ClearRenderer(getContext()); setRenderer(mRenderer); setLongClickable(true); setFocusable(true); } public void onSurfaceCreated(final GL10 gl, EGLConfig config) { gl.glEnable(GL10.GL_TEXTURE_2D); gl.glShadeModel(GL10.GL_SMOOTH); gl.glDisable(GL10.GL_DEPTH_TEST); gl.glDepthMask(false); gl.glEnable(GL10.GL_ALPHA_TEST); gl.glAlphaFunc(GL10.GL_GREATER, 0); gl.glEnable(GL10.GL_BLEND); gl.glBlendFunc(GL10.GL_ONE, GL10.GL_ONE_MINUS_SRC_ALPHA); gl.glHint(GL10.GL_PERSPECTIVE_CORRECTION_HINT, GL10.GL_NICEST); } public void onSurfaceChanged(GL10 gl, int width, int height) { gl.glViewport(0, 0, width, height); gl.glMatrixMode(GL10.GL_PROJECTION); gl.glLoadIdentity(); gl.glOrthof(0, width, height, 0, -1f, 1f); gl.glMatrixMode(GL10.GL_MODELVIEW); gl.glLoadIdentity(); } public void onDrawFrame(GL10 gl) { gl.glClear(GL10.GL_COLOR_BUFFER_BIT); gl.glMatrixMode(GL10.GL_MODELVIEW); gl.glLoadIdentity(); gl.glEnableClientState(GL10.GL_VERTEX_ARRAY); gl.glEnableClientState(GL10.GL_TEXTURE_COORD_ARRAY); // Draw all the graphic object. for (byte i = 0; i < mGame.numberOfObjects(); i++){ mGame.getObject(i).draw(gl); } // Disable the client state before leaving gl.glDisableClientState(GL10.GL_VERTEX_ARRAY); gl.glDisableClientState(GL10.GL_TEXTURE_COORD_ARRAY); } mGame.getObject(i).draw(gl) is for all the objects like this: /* HERE there is always a translatef and scalef transformation and sometimes rotatef */ gl.glBindTexture(GL10.GL_TEXTURE_2D, mTexPointer[0]); // Point to our vertex buffer gl.glVertexPointer(3, GL10.GL_FLOAT, 0, mVertexBuffer); gl.glTexCoordPointer(2, GL10.GL_FLOAT, 0, mTextureBuffer); // Draw the vertices as triangle strip gl.glDrawArrays(GL10.GL_TRIANGLE_STRIP, 0, mVertices.length / 3); EDIT: After some test it seems to be due to the transparent GLSurfaceView. If I delete this line of code: setEGLConfigChooser(8, 8, 8, 8, 0, 0); the background becomes all black but I reach 60 fps. What can I do?

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• SQLUG Events - London/Edinburgh/Cardiff/Reading - Masterclass, NoSQL, TSQL Gotcha's, Replication, BI

  - by tonyrogerson

  We have acquired two additional tickets to attend the SQL Server Master Class with Paul Randal and Kimberly Tripp next Thurs (17th June), for a chance to win these coveted tickets email us ([email protected]) before 9pm this Sunday with the subject "MasterClass" - people previously entered need not worry - your still in with a chance. The winners will be announced Monday morning.As ever plenty going on physically, we've got dates for a stack of events in Manchester and Leeds, I'm looking at Birmingham if anybody has ideas? We are growing our online community with the Cuppa Corner section, to participate online remember to use the #sqlfaq twitter tag; for those wanting to get more involved in presenting and fancy trying it out we are always after people to do 1 - 5 minute SQL nuggets or Cuppa Corners (short presentations) at any of these User Group events - just email us [email protected] removing from this email list? Then just reply with remove please on the subject line.Kimberly Tripp and Paul Randal Master Class - Thurs, 17th June - LondonREGISTER NOW AND GET A SECOND REGISTRATION FREE*The top things YOU need to know about managing SQL Server - in one place, on one day - presented by two of the best SQL Server industry trainers!This one-day MasterClass will focus on many of the top issues companies face when implementing and maintaining a SQL Server-based solution. In the case where a company has no dedicated DBA, IT managers sometimes struggle to keep the data tier performing well and the data available. This can be especially troublesome when the development team is unfamiliar with the affect application design choices have on database performance.The Microsoft SQL Server MasterClass 2010 is presented by Paul S. Randal and Kimberly L. Tripp, two of the most experienced and respected people in the SQL Server world. Together they have over 30 years combined experience working with SQL Server in the field, and on the SQL Server product team itself. This is a unique opportunity to hear them present at a UK event which will:>> Debunk many of the ingrained misconceptions around SQL Server's behaviour >> Show you disaster recovery techniques critical to preserving your company's life-blood - the data >> Explain how a common application design pattern can wreak havoc in the database >> Walk through the top-10 points to follow around operations and maintenance for a well-performing and available data tier! Where: Radisson Edwardian Heathrow Hotel, LondonWhen: Thursday 17th June 2010*REGISTER TODAY AT www.regonline.co.uk/kimtrippsql on the registration form simply quote discount code: BOGOF for both yourself and your colleague and you will save 50% off each registration – that’s a 249 GBP saving! This offer is limited, book early to avoid disappointment.Wed, 23 JunREADINGEvening Meeting, More info and registerIntroduction to NoSQL (Not Only SQL) - Gavin Payne; T-SQL Gotcha's and how to avoid them - Ashwani Roy; Introduction to Recency Frequency - Tony Rogerson; Reporting Services - Tim LeungThu, 24 JunCARDIFFEvening Meeting, More info and registerAlex Whittles of Purple Frog Systems talks about Data warehouse design case studies, Other BI related session TBC Mon, 28 JunEDINBURGHEvening Meeting, More info and registerReplication (Components, Adminstration, Performance and Troubleshooting) - Neil Hambly Server Upgrades (Notes and Best practice from the field) - Satya Jayanty Wed, 14 JulLONDONEvening Meeting, More info and registerMeeting is being sponsored by DBSophic (http://www.dbsophic.com/download), database optimisation software. Physical Join Operators in SQL Server - Ami LevinWorkload Tuning - Ami LevinSQL Server and Disk IO (File Groups/Files, SSD's, Fusion-IO, In-RAM DB's, Fragmentation) - Tony RogersonComplex Event Processing - Allan MitchellMany thanks,Tony Rogerson, SQL Server MVPUK SQL Server User Grouphttp://sqlserverfaq.com"

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• MySQL Cluster 7.3: On-Demand Webinar and Q&A Available

  - by Mat Keep

  The on-demand webinar for the MySQL Cluster 7.3 Development Release is now available. You can learn more about the design, implementation and getting started with all of the new MySQL Cluster 7.3 features from the comfort and convenience of your own device, including: - Foreign Key constraints in MySQL Cluster - Node.js NoSQL API  - Auto-installation of higher performance distributed, clusters We received some great questions over the course of the webinar, and I wanted to share those for the benefit of a broader audience. Q. What Foreign Key actions are supported: A. The core referential actions defined in the SQL:2003 standard are implemented: CASCADE RESTRICT NO ACTION SET NULL Q. Where are Foreign Keys implemented, ie data nodes or SQL nodes? A. They are implemented in the data nodes, therefore can be enforced for both the SQL and NoSQL APIs Q. Are they compatible with the InnoDB Foreign Key implementation? A. Yes, with the following exceptions: - InnoDB doesn’t support “No Action” constraints, MySQL Cluster does - You can choose to suspend FK constraint enforcement with InnoDB using the FOREIGN_KEY_CHECKS parameter; at the moment, MySQL Cluster ignores that parameter. - You cannot set up FKs between 2 tables where one is stored using MySQL Cluster and the other InnoDB. - You cannot change primary keys through the NDB API which means that the MySQL Server actually has to simulate such operations by deleting and re-adding the row. If the PK in the parent table has a FK constraint on it then this causes non-ideal behaviour. With Restrict or No Action constraints, the change will result in an error. With Cascaded constraints, you’d want the rows in the child table to be updated with the new FK value but, the implicit delete of the row from the parent table would remove the associated rows from the child table and the subsequent implicit insert into the parent wouldn’t reinstate the child rows. For this reason, an attempt to add an ON UPDATE CASCADE where the parent column is a primary key will be rejected. Q. Does adding or dropping Foreign Keys cause downtime due to a schema change? A. Nope, this is an online operation. MySQL Cluster supports a number of on-line schema changes, ie adding and dropping indexes, adding columns, etc. Q. Where can I see an example of node.js with MySQL Cluster? A. Check out the tutorial and download the code from GitHub Q. Can I use the auto-installer to support remote deployments? How about setting up MySQL Cluster 7.2? A. Yes to both! Q. Can I get a demo Check out the tutorial. You can download the code from http://labs.mysql.com/ Go to Select Build drop-down box Q. What is be minimum internet speen required for Geo distributed cluster with synchronous replication? A. if you're splitting you cluster between sites then we recommend a network latency of 20ms or less. Alternatively, use MySQL asynchronous replication where the latency of your WAN doesn't impact the latency of your reads/writes. Q. Where you can one learn more about the PayPal project with MySQL Cluster? A. Take a look at the following - you'll find press coverage, a video and slides from their keynote presentation  So, if you want to learn more, listen to the new MySQL Cluster 7.3 on-demand webinar  MySQL Cluster 7.3 is still in the development phase, so it would be great to get your feedback on these new features, and things you want to see!

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• Bridging the Gap in Cloud, Big Data, and Real-time

  - by Dain C. Hansen

  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:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} With all the buzz of around big data and cloud computing, it is easy to overlook one of your most precious commodities—your data. Today’s businesses cannot stand still when it comes to data. Market success now depends on speed, volume, complexity, and keeping pace with the latest data integration breakthroughs. Are you up to speed with big data, cloud integration, real-time analytics? Join us in this three part blog series where we’ll look at each component in more detail. Meet us online on October 24th where we’ll take your questions about what issues you are facing in this brave new world of integration. Let’s start first with Cloud. What happens with your data when you decide to implement a private cloud architecture? Or public cloud? Data integration solutions play a vital role migrating data simply, efficiently, and reliably to the cloud; they are a necessary ingredient of any platform as a service strategy because they support cloud deployments with data-layer application integration between on-premise and cloud environments of all kinds. For private cloud architectures, consolidation of your databases and data stores is an important step to take to be able to receive the full benefits of cloud computing. Private cloud integration requires bidirectional replication between heterogeneous systems to allow you to perform data consolidation without interrupting your business operations. In addition, integrating data requires bulk load and transformation into and out of your private cloud is a crucial step for those companies moving to private cloud. In addition, the need for managing data services as part of SOA/BPM solutions that enable agile application delivery and help build shared data services for organizations. But what about public Cloud? If you have moved your data to a public cloud application, you may also need to connect your on-premise enterprise systems and the cloud environment by moving data in bulk or as real-time transactions across geographies. For public and private cloud architectures both, Oracle offers a complete and extensible set of integration options that span not only data integration but also service and process integration, security, and management. For those companies investing in Oracle Cloud, you can move your data through Oracle SOA Suite using REST APIs to Oracle Messaging Cloud Service —a new service that lets applications deployed in Oracle Cloud securely and reliably communicate over Java Messaging Service . As an example of loading and transforming data into other public clouds, Oracle Data Integrator supports a knowledge module for Salesforce.com—now available on AppExchange. Other third-party knowledge modules are being developed by customers and partners every day. To learn more about how to leverage Oracle’s Data Integration products for Cloud, join us live: Data Integration Breakthroughs Webcast on October 24th 10 AM PST.

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• SQL SERVER – Learn SQL Server 2014 Online in a Day – My Latest Pluralsight Course

  - by Pinal Dave

  Click here watch SQL Server 2014 Administration New Features.  SQL Server 2014 was released earlier this year and it has been extremely popular in Microsoft world. Here is the announcement for everyone, who have been asking me to build a tutorial around SQL Server 2014. I have authored latest Pluralsight courses on the subject of SQL Server 2014. This course is 4 hours and 17 minutes long, but the best part is that this course contains all the latest features of SQL Server 2014. I have build this course with the assumption that DBA is familiar with earlier versions of SQL Server and wants to explore and learn new features of SQL Server 2014. The Challenge I Faced The biggest challenge I faced was how to come up with the outline for the course. The reason is that there are so many different features introduced in SQL Server 2014 that is will be difficult to cover each of the features in a single course. I wanted to cover the topics which are the most relevant and useful to developers, but in addition I also wanted to cover the topics which may be useful to develop if they know that they exists in the product. I finally decided to depend on blog readers and few of the SQL Experts. I reached out to selected 20 people via email and gave them a list of the topics which I should be covering in this course. They all work in different organizations and have a good understanding about the need of the DBA and Developers. Based on their feedback, I was able to come up with a very good outline which is currently very popular with Pluralsight library. Lots of people have asked me how was I able to come up with a course content outline so accurately. The credit for the same goes to the developers and DBA, who have voted in the topics and have helped me to build a very solid outline for the course. Outline of the Course Here is a quick outline for the course: Introduction Backup Enhancements Security Enhancements Columnstore Enhancements Online Data Operations Enhancements Enhancements with Microsoft Azure SSD Buffer Pool Extensions Resource Governor IO Miscellaneous Features Online Index Rebuilding Live Plans for Long Running Queries Transaction Durability Cardinality Estimation In Memory OLTP Optimization Well, I had a great fun working on the topics which I have mentioned in the outline. I am very confident that once you start with the course, you will indeed understand how each of the topics builds and presented. I have made sure that each of the topic has a vivid and clear story to begin with. I first explain the story and right after that I explain the concept. Who Should Attend This Course Everyone who has basic knowledge of SQL Server and wants to update themselves with SQL Server 2014. They should attend this course. One thing I have made sure that this course is easy to understand and I have decided complex subject into multiple parts. This way the learning is progressive and anyone with a poor knowledge of the subject can have enough time to understand the presented concept. Screenshot of the Course Here are few of the screenshot of the courses. How to Watch Video Course This course is available at Pluralsight, and you will need a valid login to Pluralsight. If you do not have Pluralsight login, you can quickly sign up for the FREE Trial. Click here watch SQL Server 2014 Administration New Features.  Reference: Pinal Dave (http://blog.SQLAuthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL Training, SQLAuthority News, T SQL, Video

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• Windows Azure Recipe: Mobile Computing

  - by Clint Edmonson

  A while back, mashups were all the rage. The idea was to compose solutions that provided aggregation and integration across applications and services to make information more available, useful, and personal. Mashups ushered in the era of Web 2.0 in all it’s socially connected goodness. They taught us that to be successful, we needed to add web service APIs to our web applications. Web and client based mashups met with great success and have evolved even further with the introduction of the internet connected smartphone. Nothing is more available, useful, or personal than our smartphones. The current generation of cloud connected mobile computing mashups allow our mobilized workforces to receive, process, and react to information from disparate sources faster than ever before. Drivers Integration Reach Time to market Solution Here’s a sketch of a prototypical mobile computing solution using Windows Azure: Ingredients Web Role – with the phone running a dedicated client application, the web role is responsible for serving up backend web services that implement the solution’s core connected functionality. Database – used to store core operational and workflow data for the solution’s web services. Access Control – this service is used to authenticate and manage users identity, roles, and groups, possibly in conjunction with 3rd identity providers such as Windows LiveID, Google, Yahoo!, and Facebook. Worker Role – this role is used to handle the orchestration of long-running, complex, asynchronous operations. While much of the integration and interaction with other services can be handled directly by the mobile client application, it’s possible that the backend may need to integrate with 3rd party services as well. Offloading this work to a worker role better distributes computing resources and keeps the web roles focused on direct client interaction. Queues – these provide reliable, persistent messaging between applications and processes. They are an absolute necessity once asynchronous processing is involved. Queues facilitate the flow of distributed events and allow a solution to send push notifications back to mobile devices at appropriate times. Training & Resources These links point to online Windows Azure training labs and resources where you can learn more about the individual ingredients described above. (Note: The entire Windows Azure Training Kit can also be downloaded for offline use.) Windows Azure (16 labs) Windows Azure is an internet-scale cloud computing and services platform hosted in Microsoft data centers, which provides an operating system and a set of developer services which can be used individually or together. It gives developers the choice to build web applications; applications running on connected devices, PCs, or servers; or hybrid solutions offering the best of both worlds. New or enhanced applications can be built using existing skills with the Visual Studio development environment and the .NET Framework. With its standards-based and interoperable approach, the services platform supports multiple internet protocols, including HTTP, REST, SOAP, and plain XML SQL Azure (7 labs) Microsoft SQL Azure delivers on the Microsoft Data Platform vision of extending the SQL Server capabilities to the cloud as web-based services, enabling you to store structured, semi-structured, and unstructured data. Windows Azure Services (9 labs) As applications collaborate across organizational boundaries, ensuring secure transactions across disparate security domains is crucial but difficult to implement. Windows Azure Services provides hosted authentication and access control using powerful, secure, standards-based infrastructure. Windows Azure Toolkit for Windows Phone The Windows Azure Toolkit for Windows Phone is designed to make it easier for you to build mobile applications that leverage cloud services running in Windows Azure. The toolkit includes Visual Studio project templates for Windows Phone and Windows Azure, class libraries optimized for use on the phone, sample applications, and documentation Windows Azure Toolkit for iOS The Windows Azure Toolkit for iOS is a toolkit for developers to make it easy to access Windows Azure storage services from native iOS applications. The toolkit can be used for both iPhone and iPad applications, developed using Objective-C and XCode. Windows Azure Toolkit for Android The Windows Azure Toolkit for Android is a toolkit for developers to make it easy to work with Windows Azure from native Android applications. The toolkit can be used for native Android applications developed using Eclipse and the Android SDK. See my Windows Azure Resource Guide for more guidance on how to get started, including links web portals, training kits, samples, and blogs related to Windows Azure.

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• Big Data – Data Mining with Hive – What is Hive? – What is HiveQL (HQL)? – Day 15 of 21

  - by Pinal Dave

  In yesterday’s blog post we learned the importance of the operational database in Big Data Story. In this article we will understand what is Hive and HQL in Big Data Story. Yahoo started working on PIG (we will understand that in the next blog post) for their application deployment on Hadoop. The goal of Yahoo to manage their unstructured data. Similarly Facebook started deploying their warehouse solutions on Hadoop which has resulted in HIVE. The reason for going with HIVE is because the traditional warehousing solutions are getting very expensive. What is HIVE? Hive is a datawarehouseing infrastructure for Hadoop. The primary responsibility is to provide data summarization, query and analysis. It  supports analysis of large datasets stored in Hadoop’s HDFS as well as on the Amazon S3 filesystem. The best part of HIVE is that it supports SQL-Like access to structured data which is known as HiveQL (or HQL) as well as big data analysis with the help of MapReduce. Hive is not built to get a quick response to queries but it it is built for data mining applications. Data mining applications can take from several minutes to several hours to analysis the data and HIVE is primarily used there. HIVE Organization The data are organized in three different formats in HIVE. Tables: They are very similar to RDBMS tables and contains rows and tables. Hive is just layered over the Hadoop File System (HDFS), hence tables are directly mapped to directories of the filesystems. It also supports tables stored in other native file systems. Partitions: Hive tables can have more than one partition. They are mapped to subdirectories and file systems as well. Buckets: In Hive data may be divided into buckets. Buckets are stored as files in partition in the underlying file system. Hive also has metastore which stores all the metadata. It is a relational database containing various information related to Hive Schema (column types, owners, key-value data, statistics etc.). We can use MySQL database over here. What is HiveSQL (HQL)? Hive query language provides the basic SQL like operations. Here are few of the tasks which HQL can do easily. Create and manage tables and partitions Support various Relational, Arithmetic and Logical Operators Evaluate functions Download the contents of a table to a local directory or result of queries to HDFS directory Here is the example of the HQL Query: SELECT upper(name), salesprice FROM sales; SELECT category, count(1) FROM products GROUP BY category; When you look at the above query, you can see they are very similar to SQL like queries. Tomorrow In tomorrow’s blog post we will discuss about very important components of the Big Data Ecosystem – Pig. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• SQL SERVER – Shard No More – An Innovative Look at Distributed Peer-to-peer SQL Database

  - by pinaldave

  There is no doubt that SQL databases play an important role in modern applications. In an ideal world, a single database can handle hundreds of incoming connections from multiple clients and scale to accommodate the related transactions. However the world is not ideal and databases are often a cause of major headaches when applications need to scale to accommodate more connections, transactions, or both. In order to overcome scaling issues, application developers often resort to administrative acrobatics, also known as database sharding. Sharding helps to improve application performance and throughput by splitting the database into two or more shards. Unfortunately, this practice also requires application developers to code transactional consistency into their applications. Getting transactional consistency across multiple SQL database shards can prove to be very difficult. Sharding requires developers to think about things like rollbacks, constraints, and referential integrity across tables within their applications when these types of concerns are best handled by the database. It also makes other common operations such as joins, searches, and memory management very difficult. In short, the very solution implemented to overcome throughput issues becomes a bottleneck in and of itself. What if database sharding was no longer required to scale your application? Let me explain. For the past several months I have been following and writing about NuoDB, a hot new SQL database technology out of Cambridge, MA. NuoDB is officially out of beta and they have recently released their first release candidate so I decided to dig into the database in a little more detail. Their architecture is very interesting and exciting because it completely eliminates the need to shard a database to achieve higher throughput. Each NuoDB database consists of at least three or more processes that enable a single database to run across multiple hosts. These processes include a Broker, a Transaction Engine and a Storage Manager.  Brokers are responsible for connecting client applications to Transaction Engines and maintain a global view of the network to keep track of the multiple Transaction Engines available at any time. Transaction Engines are in-memory processes that client applications connect to for processing SQL transactions. Storage Managers are responsible for persisting data to disk and serving up records to the Transaction Managers if they don’t exist in memory. The secret to NuoDB’s approach to solving the sharding problem is that it is a truly distributed, peer-to-peer, SQL database. Each of its processes can be deployed across multiple hosts. When client applications need to connect to a Transaction Engine, the Broker will automatically route the request to the most available process. Since multiple Transaction Engines and Storage Managers running across multiple host machines represent a single logical database, you never have to resort to sharding to get the throughput your application requires. NuoDB is a new pioneer in the SQL database world. They are making database scalability simple by eliminating the need for acrobatics such as sharding, and they are also making general administration of the database simpler as well.  Their distributed database appears to you as a user like a single SQL Server database.  With their RC1 release they have also provided a web based administrative console that they call NuoConsole. This tool makes it extremely easy to deploy and manage NuoDB processes across one or multiple hosts with the click of a mouse button. See for yourself by downloading NuoDB here. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: CodeProject, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology Tagged: NuoDB

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• Tips &amp; Tricks: How to crawl a SSL enabled Oracle E-Business Suite

  - by Rajesh Ghosh

  Oracle E-Business Suite can be integrated with Oracle Secure Enterprise Search for a superior end user experience and enhanced data retrieval capabilities. Before end-users can perform search operations, data has to be crawled and indexed into Oracle SES server. However if the Oracle E-Business Suite instance is on SSL, some additional configurations are needed in Oracle SES server as well as in Oracle Search Modeler, before a search object can be deployed and crawled. The process involves the following steps: Step 1: Export the SSL certificate of Oracle E-Business Suite Access the Oracle E-business Suite instance from a web browser. You should be able to locate a security or certificate icon somewhere in the browser toolbar or status bar, depending on which browser you are using. Click on it and you should be able to view the certificate as well as export it to a local file. While exporting make sure that you use “DER encoded” format. Step 2: Import the SSL certificate into Oracle Secure Enterprise server’s java key-store Oracle SES (10.1.8.4) by default ships a JDK under $ORACLE_HOME. The Oracle SES mid-tier uses this jdk to start the oc4j container services. In this step the Oracle E-Business Suite’s SSL certificate which has been exported in step #1, has to be imported into the Oracle SES server’s java key store. Perform the following: Copy the certificate file onto the server where Oracle SES server is running; under $ORACLE_HOME/jdk/jre/lib/security/cacerts. “ORACLE_HOME” points to the Oracle SES oracle home. Set the JAVA_HOME environment variable to $ORACLE_HOME/jdk. Append $JAVA_HOME/bin to the PATH environment variable Issue the command :  “keytool -import -keystore keystore.jks -trustcacerts -alias myOHS –file ebs.crt” . Please substitute “ebs.crt” with the name of the certificate file you copied in step #2.1. The default key-store password “changeit”. Enter the same when prompted. If successful this process will end with a message saying “certificate successfully imported”. Step 3: Import the SSL certificate into Search Modeler java key-store Unlike Oracle SES, Search Modeler is not shipped with a bundled JDK. If you are using standalone OC4J, then you actually use an external JDK to start the oc4j container services. If you are using IAS instance then the JDK comes bundled with the IAS installation. Perform the following: Copy the certificate file onto the server where Search Modeler application is running; under $JDK_HOME/jre/lib/security/cacerts. “JDK_HOME” points to the JDK directory depending on whether you are using external JDK or a bundled one. Set the JAVA_HOME environment variable to JDK directory. Append $JAVA_HOME/bin to the PATH environment variable Issue the command :  “keytool -import -keystore keystore.jks -trustcacerts -alias myOHS –file ebs.crt” . Please substitute “ebs.crt” with the name of the certificate file you copied in step #3.1. The default key-store password “changeit”. Enter the same when prompted. If successful this process will end with a message saying “certificate successfully imported”. Once you have completed the above steps successfully, you can deploy the search objects using Search Modeler and then start crawling them as well.

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• Oracle OpenWorld Update: Oracle GoldenGate for High Availability

  - by Doug Reid

  0 false 18 pt 18 pt 0 0 false false false /* 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-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Times New Roman"; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin;} One of our primary themes this year for the Oracle OpenWorld Sessions featuring Oracle GoldenGate is High Availability. This is a pretty wide theme, but the focus will be on ways of maximizing uptime for critical systems during planned and unplanned events. We have a number of very informative sessions dedicated to exploring this theme in detail; from deep product implementation strategies up to lessons learned by our customers when using Oracle GoldenGate to meet strict SLAs. We kick this track off with our Customer Panel on Zero Downtime Operations on Monday, which I overviewed in my last posting. This is followed by Comcast, who will be hosting a sessions at 1:45PM in Moscone West 3014. Their session will discuss using Oracle GoldenGate to reduce downtime during a database upgrade. Here’s an overview: CON8571 - Oracle Database Upgrade with Oracle GoldenGate: Best Practices from Comcast Does your business demand high availability? In this session, Comcast, among the largest telecom firms in the world, shares tips on how to achieve zero downtime while upgrading to Oracle Database 11g Release 2, using a combination of Oracle technologies: Oracle Real Application Clusters (Oracle RAC), Oracle Database’s Grid Infrastructure and Oracle Recovery Manager (Oracle RMAN) features, Oracle GoldenGate, and Oracle Active Data Guard. This successful upgrade took place on a mission-critical system that handles more than 60 million business requests and service calls a day. You’ll also hear how Comcast leverages Oracle Advanced Customer Support Services, including an Oracle Solution Support Center, to maximize performance and availability of its Oracle technologies. On Tuesday, Joydip Kundu (Director of Software Development) will be presenting “Oracle GoldenGate and Oracle Data Guard: Working Together Seamlessly” at 10:15AM in Moscone South 3005. This session focuses on how both modes of Oracle GoldenGate extract (Classic and Integrated Capture) can be used with Oracle Data Guard for disaster recovery purposes or to offload extract processing. That afternoon at 1:15PM Comcast takes the stage again to discuss firsthand lessons learned implementing Oracle GoldenGate in a heterogeneous, highly available environment. Here’s a rundown of their session: CON8750 - High-Volume OLTP with Oracle GoldenGate: Best Practices from Comcast Does your business demand high availability in a mission-critical environment? In this session, Comcast, one of the largest telecom firms, shares best practices for leveraging Oracle GoldenGate to replicate high-volume online transaction processing data from Tandem NSK SQL/MX to Teradata. Hear critical success factors from Comcast for overall platform and component architectures as well as configuration and tuning techniques. Learn how it met the challenges of replication in a complex heterogeneous environment. You’ll also hear how Comcast leverages Oracle Advanced Customer Support Services, including an Oracle Solution Support Center, to provide mission-critical support for maximized performance and availability of its Oracle environment. The final session on the high availability track will be hosted by Patricia Mcelroy (Distinguished Product Manager) and Stephan Haisly (Principle Member of Technical Staff). Their session (CON8401 - Tuning and Troubleshooting Oracle GoldenGate on Oracle Database) covers techniques for performance tuning and troubleshooting of Oracle GoldenGate on Oracle Database. Using various types of workloads (OLTP, batch, Oracle’s PeopleSoft Enterprise), the presentation steps through the process of monitoring and troubleshooting the configuration to maximize performance and replication throughput within and between Oracle clouds. Join us at our sessions or stop by our demo pods in Moscone south and meet the product management and development teams.

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• F1 Pit Pragmatics

  - by mikef

  "I hate computers. No, really, I hate them. I love the communications they facilitate, I love the conveniences they provide to my life. but I actually hate the computers themselves." - Scott Merrill, 'I hate computers: confessions of a Sysadmin' If Scott's goal was to polarize opinion and trigger raging arguments over the 'real reasons why computers suck', then he certainly succeeded. Impassioned vitriol sits side-by-side with rational debate. Yet Scott's fundamental point is absolutely on the money - Computers are a means to an end. The IT industry is finally starting to put weight behind the notion that good User Experience is an absolutely crucial goal, a cause championed by the likes of Microsoft's Bill Buxton, and which Apple's increasingly ubiquitous touch screen interface exemplifies. However, that doesn't change the fact that, occasionally, you just have to man up and deal with complex systems. In fact, sometimes you just need to sacrifice everything else in the name of performance. You'll find a perfect example of this Faustian bargain in Trevor Clarke's fascinating look into the (diabolical) IT infrastructure of modern F1 racing - high performance, high availability. high everything. To paraphrase, each car has up to 100 sensors, transmitting around 30Gb of data over the course of a race (70% in real-time). This data is then processed by no less than 3 servers (per car) so that the engineers in the pit have access to telemetry, strategy information, timing feeds, a connection back to the operations room in the team's home base - the list goes on. All of this while the servers are exposed "to carbon dust, oil, vibration, rain, heat, [and] variable power". Now, this is admittedly an extreme context where there's no real choice but to use complex systems where ease-of-use is, at best, a secondary concern. The flip-side is seen in small-scale personal computing such as that seen in Apple's iDevices, which are incredibly intuitive but limited in their scope. In terms of what kinds of systems they prefer to use, I suspect that most SysAdmins find themselves somewhere along this axis of Power vs. Usability, and which end of this axis you resonate with also hints at where you think the IT industry should focus its energy. Do you see yourself in the F1 pit, making split-second decisions, wrestling with information flows and reticent hardware to bend them to your will? If so, I imagine you feel that computers are subtle tools which need to be tuned and honed, using the advanced knowledge possessed only by responsible SysAdmins (If you have an iPhone, I suspect it's jail-broken). If the machines throw enigmatic errors, it's the price of flexibility and raw power. Alternatively, would you prefer to have your role more accessible, with users empowered by knowledge, spreading the load of managing IT environments? In that case, then you want hardware and software to have User Experience as their primary focus, and are of the "means to an end" school of thought (you're probably also fed up with users not listening to you when you try and help). At its heart, the dichotomy is between raw power (which might be difficult to use) and ease-of-use (which might have some limitations, but you can be up and running immediately). Of course, the ultimate goal is a fusion of flexibility, power and usability all in one system. It's achievable in specific software environments, and Red Gate considers it a target worth aiming for, but in other cases it's a goal right up there with cold fusion. I think it'll be a long time before we see it become ubiquitous. In the meantime, are you Power-Hungry or a Champion of Usability? Cheers, Michael Francis Simple Talk SysAdmin Editor

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• Do MORE with WebCenter

  - by Michael Snow

  We’ve been extremely busy here on the Oracle WebCenter team. We hope that you’ve all be keeping up with the interesting news each week. Last week was jammed full of GartnerPCC and Gartner360 buzz. If you missed any of the highlights – be sure to check out both Kellsey’s post from last week: Gartner PCC: A Shovel & Some Ah-Ha's and Christie’s overview of Loren Weinberg’s PCC presentation: "Here Today, Gone Tomorrow: Engage Your Customers or Lose Them"  . This week, we’ll be focusing on “Doing More with WebCenter” leading up to a great webcast scheduled for Thursday, March 22 (invite and registration link below). This is the 2nd in a series of 3 webcasts dedicated to expanding the understanding of the full capabilities of WebCenter. Yes – that might mean that you are not getting the full benefits of the software you already own or the expansion potential via upgrade to the full WebCenter Suite Plus. Tune in on Thursday 10 a.m. PT / 1 p.m. ET.  ++++++++++++++ Want to be a Speaker at Oracle OpenWorld 2012? Oracle Open World planning has already kicked off. We know that it is only March and next October is far in the distance. But planning has already started for Oracle OpenWorld 2012. So if you want to be a speaker and propose your own session for this year's event in San Francisco on September 30th - October 4th, starting thinking now!  The annual OpenWorld Call for Papers is now open until April 9th! All of the details to submit a paper are available here. Of course, the WebCenter team here is interested in sessions including case studies, thought-leadership, customer stories around any of the Oracle WebCenter solutions, but the Call for Papers is open to all Oracle topics. When submitting your topic, be sure to describe what you plan to discuss and the value of the presentation to other attendees. Sell your session, because there will be a lot of competition to be selected.  Bonus News: Speakers for selected sessions receive a complimentary full conference pass! Get your papers in and we'll see you in San Francisco! ~~~~~~~~~~~~~~~~~~~~~~ Webcast Series: Do More with Oracle WebCenter - Expand Beyond Content Management Enable Employees, Partners, and Customers to Do More with Your Content Dear [FIRSTNAME] [LASTNAME],-- Did you know that, in addition to content management, Oracle WebCenter now also includes comprehensive portal, composite application, collaboration, and Web experience management capabilities? Join us for this Webcast and learn how you can provide a new level of user engagement. Learn how Oracle WebCenter: Drives task-specific application data and content to a single screen for executing specific business processes Enables mixed internal and external environments where content can be securely shared and filtered with employees, partners, and customers, based upon role-based security Offers Web experience management, driving contextually relevant, social, and interactive online experiences across multiple channels Provides social features that enable sharing, activity feeds, collaboration, expertise location, and best-practices communities Learn how to do more with Oracle WebCenter. Register now for the Webcast. Register Now Join us for the second Webcast in the series "Do More With Oracle WebCenter". March 22, 2012 10 a.m. PT / 1 p.m. ET Presented by: Michelle Huff Senior Director, WebCenter Product Management, Oracle Greg Utecht Project Manager,IT Operations,TIES Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Contact Us | Legal Notices | Privacy Oracle Corporation - Worldwide Headquarters, 500 Oracle Parkway, OPL - E-mail Services, Redwood Shores, CA 94065, United States

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• Introducing MySQL for Excel

  - by Javier Treviño

  As part of the new product initiatives of the MySQL on Windows group we released a tool that makes the task of getting data in and out of a MySQL Database very friendly and intuitive, and we paired it with one of the preferred applications for data analysis and manipulation in Windows platforms, MS Excel. Welcome to MySQL for Excel, an add-in that is installed and accessed from within the MS Excel’s Data tab offering a wizard-like interface arranged in an elegant yet simple way to help users browse MySQL Schemas, Tables, Views and Procedures and perform data operations against them using MS Excel as the vehicle to drive the data in and out MySQL Databases. One of the coolest features we had in mind designing MySQL for Excel is simplicity. MS Excel is simple and easy to work with, thus liked by many Windows users because they don’t have to be software gurus to use it.  We applied the same principle by targeting MySQL for Excel to any kind of user, so if you are already familiarized with Excel’s interface you will find yourself working with MySQL data in no time. MySQL for Excel is shipped within the MySQL Installer as one of the tools in the suite; if prerequisites are already installed (.NET Framework 4.0, Visual Studio Tools for Office 4.0 and of course MS Office), installing the add-in involves a very few clicks and no further setup to use it. Being an Excel Add-In there is no executable file involved after the installation, running MS Excel and opening the add-in from its Data tab is all that is required. MySQL for Excel automatically integrates with MySQL Workbench (if installed) to share the same connections to MySQL Server installations, that way connections are defined just once in either product saving time.  Opening the Add-In brings the Welcome Panel at the right side of the Excel main window from which connections to MySQL Servers are shown grouped by Local VS Remote connections; then users can open any of those connections by double-clicking it and entering the password of the used account.  Additionally a user can create a connection by clicking on the New Connection action label or edit connections through MySQL Workbench (if installed) by clicking on the Manage Connections action label. Once a connection is opened, the Schema Selection panel is shown, at the top of it the selected connection (connection name, hostname/IP and username). Just below, a list of schemas is displayed where User Schemas are grouped first followed by System Schemas; users can double-click any selected schema to go to the next panel or select a schema and clicking the Next > button. Users can alternatively click on the < Back button to go back to the Welcome Panel to close the current connection and open a new one; also by clicking the Create New Schema action label they can create an empty new schema. Once a schema is opened the DB Object Selection panel is shown, this is actually the place where the fun stuff happens; from here users are able to perform actions against MySQL Tables, Views and Procedures. ">The actions available here are about importing data from a MySQL Table, View or Procedure to Excel, exporting Excel data to a new MySQL Table, appending Excel data to an existing MySQL Table or editing a MySQL Table’s data by using an Excel Worksheet as a user interface to update data in any row/column, insert new rows or delete existing rows in a very easy and friendly way. More blog posts will follow describing all of these actions, so stay tuned! Remember that your feedback is very important for us, so drop us a message: · MySQL on Windows (this) Blog - https://blogs.oracle.com/MySqlOnWindows/ · Forum - http://forums.mysql.com/list.php?172 · Facebook - http://www.facebook.com/mysql Cheers!

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• SPARC T4-2 Produces World Record Oracle Essbase Aggregate Storage Benchmark Result

  - by Brian

  Significance of Results Oracle's SPARC T4-2 server configured with a Sun Storage F5100 Flash Array and running Oracle Solaris 10 with Oracle Database 11g has achieved exceptional performance for the Oracle Essbase Aggregate Storage Option benchmark. The benchmark has upwards of 1 billion records, 15 dimensions and millions of members. Oracle Essbase is a multi-dimensional online analytical processing (OLAP) server and is well-suited to work well with SPARC T4 servers. The SPARC T4-2 server (2 cpus) running Oracle Essbase 11.1.2.2.100 outperformed the previous published results on Oracle's SPARC Enterprise M5000 server (4 cpus) with Oracle Essbase 11.1.1.3 on Oracle Solaris 10 by 80%, 32% and 2x performance improvement on Data Loading, Default Aggregation and Usage Based Aggregation, respectively. The SPARC T4-2 server with Sun Storage F5100 Flash Array and Oracle Essbase running on Oracle Solaris 10 achieves sub-second query response times for 20,000 users in a 15 dimension database. The SPARC T4-2 server configured with Oracle Essbase was able to aggregate and store values in the database for a 15 dimension cube in 398 minutes with 16 threads and in 484 minutes with 8 threads. The Sun Storage F5100 Flash Array provides more than a 20% improvement out-of-the-box compared to a mid-size fiber channel disk array for default aggregation and user-based aggregation. The Sun Storage F5100 Flash Array with Oracle Essbase provides the best combination for large Oracle Essbase databases leveraging Oracle Solaris ZFS and taking advantage of high bandwidth for faster load and aggregation. Oracle Fusion Middleware provides a family of complete, integrated, hot pluggable and best-of-breed products known for enabling enterprise customers to create and run agile and intelligent business applications. Oracle Essbase's performance demonstrates why so many customers rely on Oracle Fusion Middleware as their foundation for innovation. Performance Landscape System Data Size(millions of items) Database Load(minutes) Default Aggregation(minutes) Usage Based Aggregation(minutes) SPARC T4-2, 2 x SPARC T4 2.85 GHz 1000 149 398* 55 Sun M5000, 4 x SPARC64 VII 2.53 GHz 1000 269 526 115 Sun M5000, 4 x SPARC64 VII 2.4 GHz 400 120 448 18 * – 398 mins with CALCPARALLEL set to 16; 484 mins with CALCPARALLEL threads set to 8 Configuration Summary Hardware Configuration: 1 x SPARC T4-2 2 x 2.85 GHz SPARC T4 processors 128 GB memory 2 x 300 GB 10000 RPM SAS internal disks Storage Configuration: 1 x Sun Storage F5100 Flash Array 40 x 24 GB flash modules SAS HBA with 2 SAS channels Data Storage Scheme Striped - RAID 0 Oracle Solaris ZFS Software Configuration: Oracle Solaris 10 8/11 Installer V 11.1.2.2.100 Oracle Essbase Client v 11.1.2.2.100 Oracle Essbase v 11.1.2.2.100 Oracle Essbase Administration services 64-bit Oracle Database 11g Release 2 (11.2.0.3) HP's Mercury Interactive QuickTest Professional 9.5.0 Benchmark Description The objective of the Oracle Essbase Aggregate Storage Option benchmark is to showcase the ability of Oracle Essbase to scale in terms of user population and data volume for large enterprise deployments. Typical administrative and end-user operations for OLAP applications were simulated to produce benchmark results. The benchmark test results include: Database Load: Time elapsed to build a database including outline and data load. Default Aggregation: Time elapsed to build aggregation. User Based Aggregation: Time elapsed of the aggregate views proposed as a result of tracked retrieval queries. Summary of the data used for this benchmark: 40 flat files, each of size 1.2 GB, 49.4 GB in total 10 million rows per file, 1 billion rows total 28 columns of data per row Database outline has 15 dimensions (five of them are attribute dimensions) Customer dimension has 13.3 million members 3 rule files Key Points and Best Practices The Sun Storage F5100 Flash Array has been used to accelerate the application performance. Setting data load threads (DLTHREADSPREPARE) to 64 and Load Buffer to 6 improved dataloading by about 9%. Factors influencing aggregation materialization performance are "Aggregate Storage Cache" and "Number of Threads" (CALCPARALLEL) for parallel view materialization. The optimal values for this workload on the SPARC T4-2 server were: Aggregate Storage Cache: 32 GB CALCPARALLEL: 16   See Also Oracle Essbase Aggregate Storage Option Benchmark on Oracle's SPARC T4-2 Server oracle.com Oracle Essbase oracle.com OTN SPARC T4-2 Server 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 28 August 2012.

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