consumption - Page 18 - Developer IT

ORA-4031 Troubleshooting Tool ???

- by Takeyoshi Sasaki

ORA-4031 ???????????????????? SGA ????????????(??????)??????????????????????????????????????????????????? ORA-4031 ??????????????????? ORA-4031 Troubleshooting Tool ??????????? ORA-4031 Troubleshooting Tool ?? ORA-4031 Troubleshooting Tool ? ORA-4031 ????????? ORA-4031 ???????????????????????????????????WEB????????????????????????????????My Oracle Support ??????????????????????? ORA-4031 ??????????????????????????????ORA-4031 ?????????????????????????????? ORA-4031 Troubleshooting Tool ???????? My Oracle Support ?????? Diagnostic Tools Catalog ?? ORA-4031 Troubleshooting Tool ???????????????? ORA-4031 Troubleshooting Tool ??????????????? ORA-4031 Troubleshooting Tool ????? ???2??????????????? ORA-4031 ?????????????????????????????ORA-4031 Troubleshooting Tool ????????????????????????????????????????ORA-4031 ???????????????????? ??????????????? ORA-4031???????????? ????????????? ORA-4031 ?????? AWR???????????????????????????????????????????????????????????? ????·???????·???????????? ORA-4031 ?????????? ????????? SR ?????????????????????????? [ADR] ????·??????·?????????? [10g ???] AWR?????(STATSPACK????)???? ?????????? ORA-4031 ????????????????????????????????????????????? ORA-4031 ?????????????? ORA-4031 ??????1?1??????????? ORA-4031 Troubleshooting Tool ???????????(??????????????)???????? ORA-4031 ????????? ???????????????????????????????????????????????? ??????????????????????????????????????1)High Session_Cached_Cursor Setting Causing Excessive Consumption of Shared Pool???SESSION_CACHED_CURSOR ??????????????????????????????????????????????2)Insufficient SGA Free Memory at StartupThis issue could occur if in the init.ora parameters of your Alert log, (shared_pool_size + large_pool_size + java_pool_size + db_keep_cache_size + streams_pool_size + db_cache_size) / sga_target is greater than 90%.????????????????????????? ?????????????? shared_pool_size, large_pool_size, java_pool_size, db_keep_cache_size, streams_pool_size, db_cache_size ????? /sga_target ??? 90% ??????????????????sga_target ??? memory_target ??????????????????????????????????????????????????????????????????? shared_pool_size ???????????????????????????????????????????????????????????????????????(?????????)? sga_target ????????????????????????????????????????????????????????????? ?????????????????????????????????????????????1)In your Alert log,* Look for parameters under "System parameters with non-default values:". If session_cached_cursor * 2000 / shared_pool_size is greater than 10%, then session_cached_cursors are consuming significant shared_pool_size.??? ????????????? "System parameters with non-default values:" ???? session_cached_cursor * 2000 ??? shared_pool_size ? 10% ???????????????????????? ???2) In your Alert log, SGA Utilization (Sum of shared_pool_size, large_pool_size, java_pool_size, db_keep_cache_size, streams_pool_size and db_cache_size over sga_target) is 99%, which might be too high. ??? shared_pool_size, large_pool_size, java_pool_size, db_keep_cache_size, streams_pool_size and db_cache_size ???? sga_target ? 99% ???????????????????? ?????????????????????????????? My Oracle Support ??????????????????????????1)Decrease the parameter SESSION_CACHED_CURSORSSESSION_CACHED_CURSORS ???????????????????????2)Reduce the minimum values for the dynamic SGA components to allow memory manager to make changes as neededSGA ?????????????????(???)?????????????????? 2????????????????????? ORA-4031 Trobuleshooting Tool ????????????????????????????????????????? ORA-4031 Troubleshooting Tool ?????? ORA-4031 ??????????????????????ORA-4031 Troubleshooting Tool ???????????????????????????????????????????????????????ORA-4031 ????????????????????????????ORA-4031 ??????????????? ORA-4031 Troubleshooting Tool ?????????

Read the article

MySQL on Linux out of memory

- by Sunrays

OS: Redhat Enterprise Linux Server Release 5.3 (Tikanga) Architecture: Intel Xeon 64Bit MySQL Server 5.5.20 Enterprise Server advanced edition. Application: Liferay. My database size is 200MB. RAM is 64GB. The memory consumption increases gradually and we run out of memory. Then only rebooting releases all the memory, but then process of memory consumption starts again and reaches 63-64GB in less than a day. Parameters detail: key_buffer_size=16M innodb_buffer_pool_size=3GB inndb_buffer_pool_instances=3 max_connections=1000 innodb_flush_method=O_DIRECT innodb_change_buffering=inserts read_buffer_size=2M read_rnd_buffer_size=256K It's a serious production server issue that I am facing. What could be the reason behind this and how to resolve. This is the report of 2pm today, after Linux was rebooted yesterday @ around 10pm. Output of free -m total used free shared buffers cached Mem: 64455 22053 42402 0 1544 1164 -/+ buffers/cache: 19343 45112 Swap: 74998 0 74998 Output of vmstat 2 5 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 43423976 1583700 1086616 0 0 1 173 22 27 1 1 98 0 0 2 0 0 43280200 1583712 1228636 0 0 0 146 1265 491 2 2 96 1 0 0 0 0 43421940 1583724 1087160 0 0 0 138 1469 738 2 1 97 0 0 1 0 0 43422604 1583728 1086736 0 0 0 5816 1615 934 1 1 97 0 0 0 0 0 43422372 1583732 1086752 0 0 0 2784 1323 545 2 1 97 0 0 Output of top -n 3 -b top - 14:16:22 up 16:32, 5 users, load average: 0.79, 0.77, 0.93 Tasks: 345 total, 1 running, 344 sleeping, 0 stopped, 0 zombie Cpu(s): 1.0%us, 0.9%sy, 0.0%ni, 98.1%id, 0.1%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 66002772k total, 22656292k used, 43346480k free, 1582152k buffers Swap: 76798724k total, 0k used, 76798724k free, 1163616k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 6434 mysql 15 0 4095m 841m 5500 S 113.5 1.3 426:53.69 mysqld 1 root 15 0 10344 680 572 S 0.0 0.0 0:03.09 init 2 root RT -5 0 0 0 S 0.0 0.0 0:00.01 migration/0 3 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/0 4 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/0 5 root RT -5 0 0 0 S 0.0 0.0 0:00.01 migration/1 6 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/1 7 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/1 8 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/2 9 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/2 10 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/2 11 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/3 12 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/3 13 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/3 14 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/4 15 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/4 16 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/4 17 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/5 18 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/5 19 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/5 20 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/6 21 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/6 22 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/6 23 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/7 24 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/7 25 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/7 26 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/8 27 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/8 28 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/8 29 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/9 30 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/9 31 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/9 32 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/10 33 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/10 34 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/10 35 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/11 36 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/11 37 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/11 38 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/12 39 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/12 40 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/12 41 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/13 42 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/13 43 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/13 44 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/14 45 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/14 46 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/14 47 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/15 48 root 34 19 0 0 0 S 0.0 0.0 0:00.01 ksoftirqd/15 49 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/15 50 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/16 51 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/16 52 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/16 53 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/17 54 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/17 55 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/17 56 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/18 57 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/18 58 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/18 59 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/19 60 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/19 61 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/19 62 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/20 63 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/20 64 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/20 65 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/21 66 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/21 67 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/21 68 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/22 69 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/22 70 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/22 71 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/23 72 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/23 73 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/23 74 root 10 -5 0 0 0 S 0.0 0.0 0:00.02 events/0 75 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/1 76 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/2 77 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/3 78 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/4 79 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/5 80 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/6 81 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/7 82 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/8 83 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/9 84 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/10 85 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/11 86 root 10 -5 0 0 0 S 0.0 0.0 0:00.01 events/12 87 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/13 88 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/14 89 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/15 90 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/16 91 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/17 92 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/18 93 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/19 94 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/20 95 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/21 96 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/22 97 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/23 98 root 10 -5 0 0 0 S 0.0 0.0 0:00.01 khelper 615 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kthread 643 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/0 644 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/1 645 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/2 646 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/3 647 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/4 648 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/5 649 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/6 650 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/7 651 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/8 652 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/9 653 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/10 654 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/11 655 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/12 656 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/13 657 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/14 658 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/15 659 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/16 660 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/17 661 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/18 662 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/19 663 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/20 664 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/21 665 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/22 666 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/23 667 root 17 -5 0 0 0 S 0.0 0.0 0:00.00 kacpid 840 root 17 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/0 841 root 18 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/1 842 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/2 843 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/3 844 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/4 845 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/5 846 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/6 847 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/7 848 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/8 849 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/9 850 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/10 851 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/11 852 root 15 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/12 853 root 16 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/13 854 root 17 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/14 855 root 18 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/15 856 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/16 857 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/17 858 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/18 859 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/19 860 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/20 861 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/21 862 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/22 863 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/23 866 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 khubd 868 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kseriod 1118 root 23 0 0 0 0 S 0.0 0.0 0:00.00 pdflush 1119 root 15 0 0 0 0 S 0.0 0.0 0:00.11 pdflush 1120 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 kswapd0 1121 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 kswapd1 1122 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 aio/0 1123 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 aio/1 1124 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 aio/2 1125 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/3 1126 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/4 1127 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/5 1128 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/6 1129 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/7 1130 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/8 1131 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/9 1132 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/10 1133 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/11 1134 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/12 1135 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/13 1136 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/14 1137 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/15 1138 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/16 1139 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/17 1140 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/18 1141 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/19 1142 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/20 1143 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/21 1144 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/22 1145 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/23 1308 root 11 -5 0 0 0 S 0.0 0.0 0:00.00 kpsmoused 1566 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/0 1567 root 10 -5 0 0 0 S 0.0 0.0 0:00.27 ata/1 1568 root 10 -5 0 0 0 S 0.0 0.0 0:02.39 ata/2 1569 root 10 -5 0 0 0 S 0.0 0.0 0:00.07 ata/3 1570 root 10 -5 0 0 0 S 0.0 0.0 0:00.72 ata/4 1571 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/5 1572 root 10 -5 0 0 0 S 0.0 0.0 0:00.15 ata/6 1573 root 10 -5 0 0 0 S 0.0 0.0 0:00.07 ata/7 1574 root 10 -5 0 0 0 S 0.0 0.0 0:00.06 ata/8 1575 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/9 1576 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/10 1577 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/11 1578 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/12 1579 root 10 -5 0 0 0 S 0.0 0.0 0:00.14 ata/13 1580 root 10 -5 0 0 0 S 0.0 0.0 0:01.56 ata/14 1581 root 10 -5 0 0 0 S 0.0 0.0 0:00.04 ata/15 1582 root 10 -5 0 0 0 S 0.0 0.0 0:00.40 ata/16 1583 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/17 1584 root 10 -5 0 0 0 S 0.0 0.0 0:00.11 ata/18 1585 root 10 -5 0 0 0 S 0.0 0.0 0:00.03 ata/19 1586 root 10 -5 0 0 0 S 0.0 0.0 0:00.02 ata/20 1587 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/21 1588 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/22 1589 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/23 1590 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 ata_aux 1616 root 10 -5 0 0 0 S 0.0 0.0 0:17.20 scsi_eh_0 1617 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 scsi_eh_1 1668 root 11 -5 0 0 0 S 0.0 0.0 0:00.00 scsi_eh_2 1669 root 0 -20 0 0 0 S 0.0 0.0 0:00.00 qla2xxx_2_dpc 1670 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 scsi_wq_2 1671 root 11 -5 0 0 0 S 0.0 0.0 0:00.00 fc_wq_2 1672 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 fc_dl_2 1673 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 scsi_eh_3 1674 root 0 -20 0 0 0 S 0.0 0.0 0:00.00 qla2xxx_3_dpc 1675 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 scsi_wq_3 1676 root 11 -5 0 0 0 S 0.0 0.0 0:00.00 fc_wq_3 1677 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 fc_dl_3 1728 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 kstriped 1829 root 10 -5 0 0 0 S 0.0 0.0 1:09.14 kjournald 1857 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kauditd 1891 root 11 -4 13008 1188 388 S 0.0 0.0 0:00.40 udevd 4555 root 11 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/0 4556 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/1 4557 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/2 4558 root 14 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/3 4559 root 15 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/4 4560 root 16 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/5 4561 root 16 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/6 4562 root 17 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/7 4563 root 18 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/8 4564 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/9 4565 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/10 4566 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/11 4567 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/12 4568 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/13 4569 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/14 4570 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/15 4571 root 14 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/16 4572 root 14 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/17 4573 root 14 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/18 4574 root 15 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/19 4575 root 16 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/20 4576 root 15 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/21 4577 root 16 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/22 4578 root 16 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/23 4579 root 18 -5 0 0 0 S 0.0 0.0 0:00.00 kmpath_handlerd 4734 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 kjournald 4736 root 10 -5 0 0 0 S 0.0 0.0 0:04.82 kjournald 4744 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 kjournald 5238 root RT 0 87584 3648 2768 S 0.0 0.0 0:03.60 multipathd 5537 root 11 -4 27328 812 580 S 0.0 0.0 0:00.14 auditd 5539 root 7 -8 81804 768 616 S 0.0 0.0 0:00.04 audispd 5564 root 15 0 5904 632 512 S 0.0 0.0 0:00.10 syslogd 5567 root 15 0 3800 432 344 S 0.0 0.0 0:00.01 klogd 5579 root 18 0 10728 384 244 S 0.0 0.0 0:00.42 irqbalance 5592 rpc 18 0 8048 584 464 S 0.0 0.0 0:00.00 portmap 5625 root 18 0 11032 768 632 S 0.0 0.0 0:00.00 rpc.statd 5681 root 11 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/0 5682 root 11 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/1 5683 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/2 5684 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/3 5685 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/4 5686 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/5 5687 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/6 5688 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/7 5689 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/8 5690 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/9 5691 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/10 5692 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/11

Read the article

How can I force a merge of all WAL files in pg_xlog back into my base "data" directory?

- by Zac B

Question: Is there a way to tell Postgres (9.2) to "merge all WAL files in pg_xlog back into the non-WAL data files, and then delete all WAL files successfully merged?" I would like to be able to "force" this operation; i.e. checkpoint_segments or archiving settings should be ignored. The filesystem WAL buffer (pg_xlog) directory should be emptied, or nearly emptied. It's fine if some or all of the space consumed by the pg_xlog directory is then consumed by the data directory; our DBA has asked for WAL database backups without any backlogged WALs, but space consumption is not a concern. Having near-zero WAL activity during this operation is a fine constraint. I can ensure that the database server is either shut down or not connectible (zero user-generated transaction load) during this process. Essentially, I'd like Postgres to ignore archiving/checkpoint retention policies temporarily, and flush all WAL activity to the core database files, leaving pg_xlog in the same state as if the database were recently created--with very few WAL files. What I've Tried: I know that the pg_basebackup utility performs something like this (it generates an almost-all-WALs-merged copy of a Postgres instance's data directory), but we aren't ready to use it on all our systems yet, as we are still testing replication settings; I'm hoping for a more short-term solution. I've tried issuing CHECKPOINT commands, but they just recycle one WAL file and replace it with another (that is, if they do anything at all; if I issue them during database idle time, they do nothing). pg_switch_xlog() similarly just forces a switch to the next log segment; it doesn't flush all queued/buffered segments. I've also played with the pg_resetxlog utility. That utility sort of does what I want, but all of its usage docs seem to indicate that it destroys (rather than flushing out of the transaction log and into the main data files) some or all of the WAL data. Is that impression accurate? If not, can I use pg_resetxlog during a zero-WAL-activity period to force a flush of all queued WAL data to non-WAL data? If the answer to that is negative, how can I achieve this goal? Thanks!

Read the article

Core i7 c1e and speedstepping - BSOD on shutdown

- by DeaconDesperado

I'm having an interesting problem with my recent Core i7 Digital Audio workstation build that I am curious to see if others have encountered. First, here are the specs on the machine. ASUS P6TD Deluxe Intel X58 Socket LGA1366 MB Intel Core i7-950 3.06Ghz 8M LGA1366 CPU CORSAIR DOMINATOR 6GB (3 x 2GB) 240-Pin DDR3 SDRAM DDR3 1600 Western Digital Caviar Black WD5001AALS 500GB Plus a couple ASUS optical drives and a 750W Corsair PSU. Running Windows 7 x64. All this is connected to the nefarious Digi 002 firewire audio interface for use with Pro Tools. I following mostly the specs posted by many other I7 users in the digidesign community who pooled their collective knowledge in this thread. Now after completing my build, I fell victim to the "UD5 squeal" described at that forum thread. So taking the advice posted, I disabled c1e advanced halt state and Intel speed stepping (I would likely have done this anyway to maintain a stable clock, power consumption isn't really a relevant concern on this machine.) I enabled XMP to set the ram timings properly as well. What I am experiencing is a BSOD upon shutdown, but only immediately after windows fully exits and ends all processes. The error is a MACHINE_CHECK_EXCEPTION 0x000000. The funny thing is that it is extremely intermitent and only occurs if the shutdown immediately followed a period of relative idleness. It does not a generate a minidump, I suspect because windows monitoring has terminated by the time this error occurs. No damage is evident and one can simply turn off manually and the system will act as though a proper shutdown had occurred. If anything it is a annoyance, I just want to be certain it is not affecting my long term stability. I have read that the i7 950 does not like DRAM voltages past 1.65, but that they are acceptable if they are within .5 of the BLCK setting. I have tried disabling XMP and setting all timings to auto and the problem still manifests in an identical way. It is suspect that the cpu idleness preceding shutdown is the determining factor, as both c1e and speedstepping are both settings intended to modify handling of this state. Any suggestions or prior experiences would be greatly appreciated. EDIT: The behavior very closely resembles what's described in this thread: http://www.tomshardware.com/forum/12003-63-shut-problem-windows The benign nature of it of is identical. I can't seem to download the hotfix cited there however.

Read the article

Top 20 Daily Deal Sites In India

- by Damodhar

If you have never heard of Groupon recently, you probably are not working in the tech industry because it is all over the blogosphere. After all, growing from zero to US$1.35 billion valuation in 18 months is pretty AMAZING. Inspired by this, the following bunch of Groupon clone’s are already rising in India. Definitely this business model is emerging and changes the way online shopping happens in India. SnapDeal SnapDeal features a Best deals Coupons at an unbeatable price on the best stuff to do, see, eat, and buy in our city. It provides vouchers and discounts in all the major cities like Delhi, Mumbai, Chennai and Bangalore. KhojGuru Exclusive Discount coupons from hundreds of brands and retailers. These discounts can be easily downloaded as an SMS on to the mobile phone or their print out can be taken. MyDala A platform which gets us great deals in our city.Leveraging the “power of group buying”. Group buying happens when like minded people come together to get deals that we can never get on our own as individuals. SoSasta Great place which would not only tell us about the hidden treasures of our city — but also made them affordable to us at the end of the month. DealsAndYou Deals and You is a group buying portal that features a daily deal on the best stuff in some of India’s leading cities. AajKaCatch Its concept is to provide you the most unique, useful and qualitative product at a very low price. So you can now shop without the hassles of clustered products. BindassBargain Bindaas Bargain offers a new deal every day! Great stuff ranging from cool gadgets, home theatres, luxury watches, smash games. MasthiDeals It get you a great deal on a great stuff to do, eat, buy or see in your city. They have a team of about 25 wonderful people working in Chennai office working side by side with folks in MasthiDeal’s other cities. Koovs Founded by a team of IIT alumni who have brought in their expertise from the internet industry. Koovs is a Bangalore based start up and one point solution for all your desires. Taggle It brings you a variety of offers from some of the most respected brands in the country.This website uses collective buying to create a win-win for local businesses and their customers. BuzzInTown Buzzintown.com is a portal owned by Wortal Inc. There are a US headquartered company, with a presence pan-India through their India subsidiary, managed by a vastly experienced set of global leaders from the media, entertainment and technology industries. BuyThePrice It lines up the best win – win deals for both consumers and vendors and also ensures that each of the orders are dispatched in the shortest time possible. 24HoursLoot 24hoursLoot is an online store for selling a new t-shirt (sometime other products) everyday at deep discounted price in limited quantity/stock. DealMagic Customers get exposure to the best their city has to offer, at unbeatable prices (50-90% off). We never feature more than one business on our website on any given day, so we have to be very very selective on who gets featured. Dealivore ICUMI Technologies Pvt Ltd is the company operating the Dealivore service. Founded in December 2009, ICUMI is privately owned and funded. LootMore An online store that exclusively focuses on selling cool quality stuff at cheap prices. Here you’ll always find the latest and greatest brands at prices you can afford. Foodome The deals features the best coupons at an unbeatable price on restaurants, fine dining on where to spend your birthday party.They provide coupon only in Chennai as of now. Top Online Shopping Sites- Nation Wide ebay.in eBay is The World’s Online Marketplace, enabling trade on a local, national and international basis. With a diverse and passionate community of individuals and small businesses, eBay offers an online platform where millions of items are traded each day. FutureBazzar Future Group, led by its founder and Group CEO, Mr. Kishore Biyani, is one of India’s leading business houses with multiple businesses spanning across the consumption space. TradeUs Launched in July 2009 and in a short span of time it has turned into one of India’s foremost shopping portals setting the Indian e-commerce abode aflame. BigShoeBazzar (BSB) is the largest online authorized shoe store in South Asia. Croma Promoted by Infiniti Retail Ltd, a 100% subsidiary of Tata Sons.One of the world’s leading retailers, ensuring that you buy nothing but the best. This article titled,Top 20 Daily Deal Sites In India, was originally published at Tech Dreams. Grab our rss feed or fan us on Facebook to get updates from us.

Read the article

Silverlight 5 Hosting :: Features in Silverlight 5 and Release Date

- by mbridge

Silverlight 5 is finally announced in the Silverlight FireStarter Event on the 2nd December, 2010. This new version of Silverlight which was earlier labeled as 'Future of Microsoft Silverlight' has now come much closer to go live as the first Silverlight 5 Beta version is expected to be shipped during the early months of 2011. However for the full fledged and the final release of Silverlight 5, we have to wait many more months as the same is likely to be made available within the Q3 2011. As would have been usually expected, this latest edition would feature many new capabilities thereby extending the developer productivity to a whole new dimension of premium media experience and feature-rich business applications. It comes along with many new feature updates as well as the inclusion of new technologies to improve the standard of the Silverlight applications which are now fine-tuned to produce next generation business and media solutions that is capable to meet the requirements of the advanced web-based app development. The Silverlight 5 is all set to replace the previous fourth version which now includes more than forty new features while also dropping various deprecated elements that was prevalent earlier. It has brought around some major performance enhancements and also included better support for various other tools and technologies. Following are some of the changes that are registered to be available under the Silverlight 5 Beta edition which is scheduled to be launched during the Q1 2011. Silverlight 5 : Premium Media Experiences The media features of Silverlight 5 has seen some major enhancements with a lot of optimizations being made to deliver richer solutions. It's capability has now been extended to make things easier, faster and capable of performing the desired tasks in the most efficient manner. The Silverlight media solutions has already been a part of many companies in the recent days where various on-demand Silverlight services were featured but with the arrival of the next generation premium media solution of Silverlight 5, it is expected to register new heights of success and global user acclamation for using it with many esteemed web-based projects and media solutions. - The most happening element in the new Silverlight 5 will be its support for utilizing the GPU based hardware acceleration which is intended to lower down the CPU load to a significant extent and thereby allowing faster rendering of media contents without consuming much resources. This feature is believed to be particularly helpful for low configured machines to run full HD media content without any lagging caused due to processor load. It will hence be one great feature to revolutionize the new generation high quality media contents to be available within the web in a more efficient manner with its hardware decoded video playback capabilities. - With the inclusion of hardware video decoding to minimize the processor load, the Silverlight 5 also comes with another optimization enhancement to also reduce the power consumption level by making new methods to deal with the power-saver settings. With this optimization in effect, the computer would be automatically allowed to switch to sleep mode while no video playback is in progress and also to prevent any screensavers to popup and cause annoyances during any video playback. There would also be other power saver options which will be made available to best suit the users requirements and purpose. - The Silverlight trickplay feature is another great way to tweak any silverlight powered media content as is used for many video tutorial sites or for dealing with any sort of presentations. This feature enables the user to modify the playback speed to either slowdown or speedup during the playback durations based on the requirements without compromising on the quality of output. Normally such manipulations always makes the content's audio to go off-pitch, but the same will not be the case with TrickPlay and the audio would seamlessly progress with the video without skipping any of its part. - In addition to all of the above, the new Silverlight 5 will be featuring wireless control of all the media contents by making use of remote controllers. With the use of such remote devices, it will be easier to handle the various media playback controls thereby providing more freedom while experiencing the premium media services. Silverlight 5 : Business Application Development The application development standard has been extended with more possibilities by bringing forth new and useful technologies and also reviving the existing methods to work better than what it was used to. From the UI improvements to advanced technical aspects, the Silverlight 5 scores high on all grounds to produce great next generation business delivered applications by putting in more creativity and resourceful touch to all the apps being produced with it. - The WPF feature of Silverlight is made more effective by introducing new standards of Databinding which is intended to improve the productivity standards of the Silverlight application developer. It brings in a lot of convenience in debugging the databinding components or expressions and hence making things work in a flawless manner. Some additional features related to databinding includes that of Ancestor RelativeSource, Implicit DataTemplates and Model View ViewModel (MVVM) support with DataContextChanged event and many other new features relating it. - It now comes with a refined text and printing service which facilitates better clarity of the text rendering and also many positive changes which are being applied to the layout pattern. New supports has been added to include OpenType font, multi-column text, linked-text containers and character leading support to name a few among the available features.This also includes some important printing aspects like that of Postscript Vector Printing API which allows to program our printing tasks in a user defined way and Pivot functionality for visualization concerns of informations. - The Graphics support is the key improvements being incorporated which now enables to utilize three dimensional graphics pattern using GPU acceleration. It can manage to provide some really cool visualizations being curved to provide media contents within the business apps with also the support for full HD contents at 1080p quality. - Silverlight 5 includes the support for 64-bit operating systems and relevant browsers and is also optimized to provide better performance. It can support the background thread for the networking which can reduce the latency of the network to a considerable extent. The Out-of-Browser functionality adds the support for utilizing various libraries and also the Win32 API. It also comes with testing support with VS 2010 which is mostly an automated procedure and has also enabled increased security aspects of all the Silverlight 5 developed applications by using the improved version of group policy support.

Read the article

SQL SERVER – Service Broker and CAP_CPU_PERCENT – Limiting SQL Server Instances to CPU Usage

- by pinaldave

I have mentioned several times on this blog that the best part of blogging is the questions I receive from readers. They are often very interesting. The questions from readers give me a good idea what other readers might be thinking as well. After reading my earlier article Simple Example to Configure Resource Governor – Introduction to Resource Governor – I received an email from a reader and we exchanged a few emails. After exchanging emails we both figured out what is going on. It was indeed interesting and reader suggested to that I should blog about it. I asked for permission to publish his name but he does not like the attention so we will just call him Jeff. I have converted our emails into chat for easy consumption. Jeff: Your script does not work at all. I think either there is a bug in SQL Server. Pinal: Would you please explain in detail? Jeff: Your code does not limit the CPU usage? Pinal: How did you measure it? Jeff: Well, we have third party tools for it but let us say I have limited the resources for Reporting Services and used your script described in your blog. After that I ran only reporting service workload the CPU is still used more than 100% and it is not limited to 30% as described in your script. Clearly something is wrong somewhere. Pinal: Did you say you ONLY ran reporting server load? Jeff: Yeah, to validate I ran ONLY reporting server load and CPU did not throttle at 30% as per your script. Pinal: Oh! I get it here is the answer - CAP_CPU_PERCENT = 30. Use it. Jeff: What is that, I think your earlier script says it will throttle the Reporting Service workload and Application/OLTP workload and balance it. Pinal: Exactly, that is correct. Jeff: You need to write more in email buddy! Just like your blogs, your answers do not make sense! No Offense! Pinal: Hmm…feedback well taken. Let me try again. In SQL Server 2012 there are a few enhancements with regards to SQL Server Resource Governor. One of the enhancement is how the resources are allocated. Let me explain you with examples. Configuration: [Read Earlier Post] Reporting Workload: MIN_CPU_PERCENT=0, MAX_CPU_PERCENT=30 Application/OLTP Workload: MIN_CPU_PERCENT=50, MAX_CPU_PERCENT=100 Example 1: If there is only Reporting Workload on the server: SQL Server will not limit usage of CPU to only 30% workload but SQL Server instance will use all available CPU (if needed). In another word in this scenario it will use more than 30% CPU. Example 2: If there is Reproting Workload and heavy Application/OLTP workload: SQL Server will allocate a maximum of 30% CPU resources to Reporting Workload and allocate remaining resources to heavy application/OLTP workload. The reason for this enhancement is for better utilization of the resources. Let us think, if there is only single workload, which we have limited to max CPU usage to 30%. The other unused available CPU resources is now wasted. In this situation SQL Server allows the workload to use more than 30% resources leading to overall improved/optimized performance. However, in the case of multiple workload where lots of resources are needed the limits specified in MAX_CPU_PERCENT are acknowledged. Example 3: If there is a situation where the max CPU workload has to be enforced: This is a very interesting scenario, in the case when the max CPU workload has to be enforced irrespective of the workload and enhanced algorithm, the keyword CAP_CPU_PERCENT is essential. It specifies a hard cap on the CPU bandwidth that all requests in the resource pool will receive. It will never let CPU usage for reporting workload to go over 30% in our case. You can use the key word as follows: -- Creating Resource Pool for Report Server CREATE RESOURCE POOL ReportServerPool WITH ( MIN_CPU_PERCENT=0, MAX_CPU_PERCENT=30, CAP_CPU_PERCENT=40, MIN_MEMORY_PERCENT=0, MAX_MEMORY_PERCENT=30) GO Notice that there is MAX_CPU_PERCENT=30 and CAP_CPU_PERCENT=40, what it means is that when SQL Server Instance is under heavy load under different workload it will use the maximum CPU at 30%. However, when the SQL Server instance is not under workload it will go over the 30% limit. However, as CAP_CPU_PERCENT is set to 40, it will not go over 40% in any case by limiting the usage of CPU. CAP_CPU_PERCENT puts a hard limit on the resources usage by workload. Jeff: Nice Pinal, you should blog about it. [A day passes by] Pinal: Jeff, it is done! Click here to read it. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: Service Broker

Read the article

SQLAuthority News – Learning Trip – Traveling to Learn SQL Server

- by pinaldave

I am currently traveling to Delhi to learn SQL Server in person from my friend. You can read more details about why am I learning SQL Server. I have signed up for the course End to End SQL Server Business Intelligence at Koenig Solutions. Yesterday I blogged about my registration experience and today I am going to write about my experience once I arrived at Delhi. From Ahmedabad to Delhi I stay with my wife and daughter in Bangalore (IT Hub of India), my hometown is Ahmedabad. My parents stay in city nearby Ahmedabad. I decided to spend few days with my folks before I sign up for 3 days of solid learning. I had selected an early morning flight to Delhi. I landed at 8:30 AM in Delhi. As soon as I checked email in my mobile I was really glad that I had received details of my pick up vehicle from Koenig. I walked out of the airport and I noticed that a driver was waiting with a placard with my name and photo associated with it. He was in Koenig uniform so there was no chance to make mistakes. In minutes of landing in Delhi I was in my transport heading to the Koenig Training Center. After the quick introduction driver handed me a bag (to be precise Eco friendly bag). The bag contained following items: My registration form All necessary documents in print which I had received earlier A Printed Book of the course next day INR 1000 (What?) I was glad to receive the bag but I was very confused with the Rs 1000. I decided to figure this out once I reach to the training center. Arriving at Koenig Inn Deluxe Koenig registration fees include all the stay and meals. I had opted for Koenig Inn Deluxe as my stay as it was recommended by my friend as well it was the right economical choice for me. When I reached to my accommodation, they were well aware of my arrival and was immediately led to my spacious room. The room is well equipped with all the amenities (hot water, air condition, coffee table, munching snacks, and free internet) and the staff is very friendly. I immediately got ready as I had to go to Koenig Training Center to meet Center Head for a quick introduction. Koenig Inn Delux Koenig Training Center The training center is within five minutes of distance from the accommodation. I was lead to center head right away and had a very meaningful conversation with Ms Hema regarding my learning goals. She gave me a quick tour of the training center. I was amazed with the numbers of lab rooms they have in the center. The labs are spacious and give the most needed hand’s on experience to the users. I was led to the lab where I was suppose to learn my class the very next day as well I was provided my trainer’s profile. Mystery of Rs 1000 Well, after all this I have still not forgotten why I was provided Rs 1000 when arrived at the airport. When I asked about that I was told that because many students comes from foreign places and they may not have Indian Currency when they land at airport. This was for their immediate consumption till they arrive at the training center. Later on they can get their currency converted to local currency at Koenig Travel Desk. My curiosity was satisfied but I had not expected this answer. I am amazed at the attention to the details. Koenig Travel Desk When I heard about Koenig Travel Desk, I remembered that I have few friends in Delhi and Gurgaon. I had completed all of the formalities so I had reset of the day on my hand. I requested the travel desk if they can arrange a day cab for me so I can visit my friends in Guragon. Within 10 minutes I was on my way to Gurgaon. Telerik India Office Visit What did I do in Guragaon? I met my friends Abhishek Kant, Dhananjay Kumar and Amit Chowdhary. I visited Telerik India office and we had an excellent conversation on various aspects of technology and community. The Telerik India office is very spacious and Abhishek Kant (Telerik India Country Manager) gave us a quick tour of the office. We had an excellent lunch and dinner. One thing is for sure – the day was well spent. Pinal Dave, Dhananjay Kumar and Abhishek Kant Later evening I returned to my accommodation and decided to read up a few of the topics which I was going to learn next day. In tomorrow’s blog post I will discuss about my learning experience. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL Training, T SQL, Technology

Read the article

Building a Distributed Commerce Infrastructure in the Cloud using Azure and Commerce Server

- by Lewis Benge

One of the biggest questions I routinely get asked is how scalable Commerce Server is. Of course the text book answer is the product has been around for 10 years, powers some of the largest e-Commerce websites in the world, so it scales horizontally extremely well. One argument however though is what if you can't predict the growth of demand required of your Commerce Platform, or need the ability to scale up during busy seasons such as Christmas for a retail environment but are hesitant on maintaining the infrastructure on a year-round basis? The obvious answer is to utilise the many elasticated cloud infrastructure providers that are establishing themselves in the ever-growing market, the problem however is Commerce Server is still product which has a legacy tightly coupled dependency on Windows and IIS components. Commerce Server 2009 codename "R2" however introduced to the concept of an n-tier deployment of Microsoft Commerce Server, meaning you are no longer tied to core objects API but instead have serializable Commerce Entity objects, and business logic allowing for Commerce Server to now be built into a WCF-based SOA architecture. Presentation layers no-longer now need to remain on the same physical machine as the application server, meaning you can now build the user experience into multiple-technologies and host them in multiple places – leveraging the transport benefits that a WCF service may bring, such as message queuing, security, and multiple end-points. All of this logic will still need to remain in your internal infrastructure, for two reasons. Firstly cloud based computing infrastructure does not support PCI security requirements, and secondly even though many of the legacy Commerce Server dependencies have been abstracted away within this version of the application, it is still not a fully supported to be deployed exclusively into the cloud. If you do wish to benefit from the scalability of the cloud however, you can still achieve a great Commerce Server and Azure setup by utilising both the Azure App Fabric in terms of the service bus, and authentication services and Windows Azure to host any online presence you may require. The architecture would be something similar to this: This setup would allow you to construct your Commerce Services as part of your on-site infrastructure. These services would contain all of the channels custom business logic, and provide the overall interface back into the underlying Commerce Server components. It would be recommended that services are constructed around the specific business domain of the application, which based on your business model would usually consist of separate services around Catalogue, Orders, Search, Profiles, and Marketing. The App Fabric service bus is then used to abstract and aggregate further the services, making them available to the cloud and subsequently secured by App Fabrics authentication services. These services are now available for consumption by any client, using any supported technology – not just .NET. Thus meaning you are now able to construct apps for IPhone, integrate with Java based POS Devices, and any many other potential uses. This aggregation is useful, and forms the basis of the further strategy around diversifying and enhancing the e-Commerce experience, but also provides the foundation for the scalability we want to gain from utilising a cloud-based application platform. The Windows Azure application platform is Microsoft solution to benefiting from the true economies of scale in terms of the elasticity of the cloud. Just before the launch of the Azure Platform – Domino's pizza actually managed to run their whole SuperBowl operation from the scalability of Windows Azure, and simply switching back to their traditional operation the next day with no residual infrastructure costs. The platform also natively can subscribe to services and messages exposed within the AppFabric service bus, making it an ideal solution to build and deploy a presentation layer which will need to support of scalable infrastructure – such as a high demand public facing e-Commerce portal, or a promotion element of a brand. Windows Azure has excellent support for ASP.NET, including its own caching providers meaning expensive operations such as catalogue queries can persist in memory on the application server, reducing the demand on internal infrastructure and prioritising it for more business critical operations such as receiving orders and processing payments. Windows Azure also supports other languages too, meaning utilising this approach you can technically build a Commerce Server presentation layer in Java, PHP, or Ruby – or equally in ASP.NET or Silverlight without having to change any of the underlying business or Commerce Server implementation. This SOA-style architecture is one of the primary differentiators for Commerce Server as a product in the e-Commerce market, and now with the introduction of a WCF capability in Commerce Server 2009/2009 R2 the opportunities for extensibility of the both the user experience, and integration into third parties, are drastically increased, all with no effect to the underlying channel logic. So if you are looking at deployment options for your e-Commerce application to help support demand in a cost effective way. I would highly recommend you consider looking at Windows Azure, and if you have any questions in-particular about this style of deployment, please feel free to get in touch!

Read the article

Troubleshooting High-CPU Utilization for SQL Server

- by Susantha Bathige

The objective of this FAQ is to outline the basic steps in troubleshooting high CPU utilization on a server hosting a SQL Server instance. The first and the most common step if you suspect high CPU utilization (or are alerted for it) is to login to the physical server and check the Windows Task Manager. The Performance tab will show the high utilization as shown below: Next, we need to determine which process is responsible for the high CPU consumption. The Processes tab of the Task Manager will show this information: Note that to see all processes you should select Show processes from all user. In this case, SQL Server (sqlserver.exe) is consuming 99% of the CPU (a normal benchmark for max CPU utilization is about 50-60%). Next we examine the scheduler data. Scheduler is a component of SQLOS which evenly distributes load amongst CPUs. The query below returns the important columns for CPU troubleshooting. Note – if your server is under severe stress and you are unable to login to SSMS, you can use another machine’s SSMS to login to the server through DAC – Dedicated Administrator Connection (see http://msdn.microsoft.com/en-us/library/ms189595.aspx for details on using DAC) SELECT scheduler_id ,cpu_id ,status ,runnable_tasks_count ,active_workers_count ,load_factor ,yield_count FROM sys.dm_os_schedulers WHERE scheduler_id See below for the BOL definitions for the above columns. scheduler_id – ID of the scheduler. All schedulers that are used to run regular queries have ID numbers less than 1048576. Those schedulers that have IDs greater than or equal to 1048576 are used internally by SQL Server, such as the dedicated administrator connection scheduler. cpu_id – ID of the CPU with which this scheduler is associated. status – Indicates the status of the scheduler. runnable_tasks_count – Number of workers, with tasks assigned to them that are waiting to be scheduled on the runnable queue. active_workers_count – Number of workers that are active. An active worker is never preemptive, must have an associated task, and is either running, runnable, or suspended. current_tasks_count - Number of current tasks that are associated with this scheduler. load_factor – Internal value that indicates the perceived load on this scheduler. yield_count – Internal value that is used to indicate progress on this scheduler. Now to interpret the above data. There are four schedulers and each assigned to a different CPU. All the CPUs are ready to accept user queries as they all are ONLINE. There are 294 active tasks in the output as per the current_tasks_count column. This count indicates how many activities currently associated with the schedulers. When a task is complete, this number is decremented. The 294 is quite a high figure and indicates all four schedulers are extremely busy. When a task is enqueued, the load_factor value is incremented. This value is used to determine whether a new task should be put on this scheduler or another scheduler. The new task will be allocated to less loaded scheduler by SQLOS. The very high value of this column indicates all the schedulers have a high load. There are 268 runnable tasks which mean all these tasks are assigned a worker and waiting to be scheduled on the runnable queue. The next step is to identify which queries are demanding a lot of CPU time. The below query is useful for this purpose (note, in its current form, it only shows the top 10 records). SELECT TOP 10 st.text ,st.dbid ,st.objectid ,qs.total_worker_time ,qs.last_worker_time ,qp.query_plan FROM sys.dm_exec_query_stats qs CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) st CROSS APPLY sys.dm_exec_query_plan(qs.plan_handle) qp ORDER BY qs.total_worker_time DESC This query as total_worker_time as the measure of CPU load and is in descending order of the total_worker_time to show the most expensive queries and their plans at the top: Note the BOL definitions for the important columns: total_worker_time - Total amount of CPU time, in microseconds, that was consumed by executions of this plan since it was compiled. last_worker_time - CPU time, in microseconds, that was consumed the last time the plan was executed. I re-ran the same query again after few seconds and was returned the below output. After few seconds the SP dbo.TestProc1 is shown in fourth place and once again the last_worker_time is the highest. This means the procedure TestProc1 consumes a CPU time continuously each time it executes. In this case, the primary cause for high CPU utilization was a stored procedure. You can view the execution plan by clicking on query_plan column to investigate why this is causing a high CPU load. I have used SQL Server 2008 (SP1) to test all the queries used in this article.

Read the article

Off The Beaten Path—Three Things Growing Midsize Companies are Thankful For

- by Christine Randle

By: Jim Lein, Senior Director, Oracle Accelerate Last Sunday I went on a walkabout. That’s when I just step out the door of my Colorado home and hike through the mountains for hours with no predetermined destination. I favor “social trails”, the unmapped routes pioneered by both animal and human explorers. These tracks are usually more challenging than established, marked routes and you can’t be 100% sure of where you’re going to end up. But I’ve found the rewards to be much greater. For awhile, I pondered on how—depending upon your perspective—the current economic situation worldwide could be viewed as either a classic “the glass is half empty” or a “the glass is half full” scenario. Midsize companies buy Oracle to grow and so I’m continually amazed and fascinated by the success stories our customers relate to me. Oracle’s successful midsize companies are growing via innovation, agility, and opportunity. For them, the glass isn’t half full—it’s overflowing. Growing Midsize Companies are Thankful for: Innovation The sun angling through the pine trees reminded me of a conversation with a European customer a year ago May. You might not recognize the name but, chances are, your local evening weather report relies on this company’s weather observation, monitoring and measurement products. For decades, the company was recognized in its industry for product innovation, but its recent rapid growth comes from tailoring end to end product and service solutions based on the needs of distinctly different customer groups across industrial, public sector, and defense sectors. Hours after that phone call I was walking my dog in a local park and came upon a small white plastic box sprouting short antennas and dangling by a nylon cord from a tree branch. I cut it down. The name of that customer’s company was stamped on the housing. “It’s a radiosonde from a high altitude weather balloon,” he told me the next day. “Keep it as a souvenir.” It sits on my fireplace mantle and elicits many questions from guests. Growing Midsize Companies are Thankful for: Agility In July, I had another interesting discussion with the CFO of an Asia-Pacific company which owns and operates a large portfolio of leisure assets. They are best known for their epic outdoor theme parks. However, their primary growth today is coming from a chain of indoor amusement centers in the USA where billiards, bowling, and laser tag take the place of roller coasters, kiddy rides, and wave pools. With mountains and rivers right out my front door, I’m not much for theme parks, but I’ll take a spirited game of laser tag any day. This company has grown dramatically since first implementing Oracle ERP more than a decade ago. Their profitable expansion into a completely foreign market is derived from the ability to replicate proven and efficient best business practices across diverse operating environments. They recently went live on Oracle’s Fusion HCM and Taleo. Their CFO explained to me how, with thousands of employees in three countries, Fusion HCM and Taleo would enable them to remain incredibly agile by acting on trends linking individual employee performance to their management, establishing and maintaining those best practices. Growing Midsize Companies are Thankful for: Opportunity I have three GPS apps on my iPhone. I use them mainly to keep track of my stats—distance, time, and vertical gain. However, every once in awhile I need to find the most efficient route back home before dark from my current location (notice I didn’t use the word “lost”). In August I listened in on an interview with the CFO of another European company that designs and delivers telematics solutions—the integrated use of telecommunications and informatics—for managing the mobile workforce. These solutions enable customers to achieve evolutionary step-changes in their performance and service delivery. Forgive the overused metaphor, but this is route optimization on steroids. The company’s executive team saw an opportunity in this emerging market and went “all in”. Consequently, they are being rewarded with tremendous growth results and market domination by providing the ability for their clients to collect and analyze performance information related to fuel consumption, service workforce safety, and asset productivity. This Thanksgiving, I’m thankful for health, family, friends, and a career with an innovative company that helps companies leverage top tier software to drive and manage growth. And I’m thankful to have learned the lesson that good things happen when you get off the beaten path—both when hiking and when forging new routes through a complex world economy. Halfway through my walkabout on Sunday, after scrambling up a long stretch of scree-covered hill, I crested a ridge with an obstructed view of 14,265 ft Mt Evans just a few miles to the west. There, nowhere near a house or a trail, someone had placed a wooden lounge chair. Its wood was worn and faded but it was sturdy. I had lunch and a cold drink in my pack. Opportunity knocked and I seized it. Happy Thanksgiving.

Read the article

RIDC Accelerator for Portal

- by Stefan Krantz

What is RIDC?Remote IntraDoc Client is a Java enabled API that leverages simple transportation protocols like Socket, HTTP and JAX/WS to execute content service operations in WebCenter Content Server. Each operation by design in the Content Server will execute stateless and return a complete result of the request. Each request object simply specifies the in a Map format (key and value pairs) what service to call and what parameters settings to apply. The result responded with will be built on the same Map format (key and value pairs). The possibilities with RIDC is endless since you can consume any available service (even custom made ones), RIDC can be executed from any Java SE application that has any WebCenter Content Services needs. WebCenter Portal and the example Accelerator RIDC adapter frameworkWebCenter Portal currently integrates and leverages WebCenter Content Services to enable available use cases in the portal today, like Content Presenter and Doc Lib. However the current use cases only covers few of the scenarios that the Content Server has to offer, in addition to the existing use cases it is not rare that the customer requirements requires additional steps and functionality that is provided by WebCenter Content but not part of the use cases from the WebCenter Portal.The good news to this is RIDC, the second good news is that WebCenter Portal already leverages the RIDC and has a connection management framework in place. The million dollar question here is how can I leverage this infrastructure for my custom use cases. Oracle A-Team has during its interactions produced a accelerator adapter framework that will reuse and leverage the existing connections provisioned in the webcenter portal application (works for WebCenter Spaces as well), as well as a very comprehensive design patter to minimize the work involved when exposing functionality. Let me introduce the RIDCCommon framework for accelerating WebCenter Content consumption from WebCenter Portal including Spaces. How do I get started?Through a few easy steps you will be on your way, Extract the zip file RIDCCommon.zip to the WebCenter Portal Application file structure (PortalApp) Open you Portal Application in JDeveloper (PS4/PS5) select to open the project in your application - this will add the project as a member of the application Update the Portal project dependencies to include the new RIDCCommon project Make sure that you WebCenter Content Server connection is marked as primary (a checkbox at the top of the connection properties form) You should by this stage have a similar structure in your JDeveloper Application Project Portal Project PortalWebAssets Project RIDCCommon Since the API is coming with some example operations that has already been exposed as DataControl actions, if you open Data Controls accordion you should see following: How do I implement my own operation? Create a new Java Class in for example com.oracle.ateam.portal.ridc.operation call it (GetDocInfoOperation) Extend the abstract class com.oracle.ateam.portal.ridc.operation.RIDCAbstractOperation and implement the interface com.oracle.ateam.portal.ridc.operation.IRIDCOperation The only method you actually are required to implement is execute(RIDCManager, IdcClient, IdcContext) The best practice to set object references for the operation is through the Constructor, example below public GetDocInfoOperation(String dDocName)By leveraging the constructor you can easily force the implementing class to pass right information, you can also overload the Constructor with more or less parameters as required Implement the execute method, the work you supposed to execute here is creating a new request binder and retrieve a response binder with the information in the request binder.In this case the dDocName for which we want the DocInfo Secondly you have to process the response binder by extracting the information you need from the request and restore this information in a simple POJO Java BeanIn the example below we do this in private void processResult(DataBinder responseData) - the new SearchDataObject is a Member of the GetDocInfoOperation so we can return this from a access method. Since the RIDCCommon API leverage template pattern for the operations you are now required to add a method that will enable access to the result after the execution of the operationIn the example below we added the method public SearchDataObject getDataObject() - this method returns the pre processed SearchDataObject from the execute method This is it, as you can see on the code below you do not need more than 32 lines of very simple code 1: public class GetDocInfoOperation extends RIDCAbstractOperation implements IRIDCOperation { 2: private static final String DOC_INFO_BY_NAME = "DOC_INFO_BY_NAME"; 3: private String dDocName = null; 4: private SearchDataObject sdo = null; 5: 6: public GetDocInfoOperation(String dDocName) { 7: super(); 8: this.dDocName = dDocName; 9: } 10: 11: public boolean execute(RIDCManager manager, IdcClient client, 12: IdcContext userContext) throws Exception { 13: DataBinder dataBinder = createNewRequestBinder(DOC_INFO_BY_NAME); 14: dataBinder.putLocal(DocumentAttributeDef.NAME.getName(), dDocName); 15: 16: DataBinder responseData = getResponseBinder(dataBinder); 17: processResult(responseData); 18: return true; 19: } 20: 21: private void processResult(DataBinder responseData) { 22: DataResultSet rs = responseData.getResultSet("DOC_INFO"); 23: for(DataObject dobj : rs.getRows()) { 24: this.sdo = new SearchDataObject(dobj); 25: } 26: super.setMessage(responseData.getLocal(ATTR_MESSAGE)); 27: } 28: 29: public SearchDataObject getDataObject() { 30: return this.sdo; 31: } 32: } How do I execute my operation? In the previous section we described how to create a operation, so by now you should be ready to execute the operation Step one either add a method to the class com.oracle.ateam.portal.datacontrol.ContentServicesDC or a class of your own choiceRemember the RIDCManager is a very light object and can be created where needed Create a method signature look like this public SearchDataObject getDocInfo(String dDocName) throws Exception In the method body - create a new instance of GetDocInfoOperation and meet the constructor requirements by passing the dDocNameGetDocInfoOperation docInfo = new GetDocInfoOperation(dDocName) Execute the operation via the RIDCManager instance rMgr.executeOperation(docInfo) Return the result by accessing it from the executed operationreturn docInfo.getDataObject() 1: private RIDCManager rMgr = null; 2: private String lastOperationMessage = null; 3: 4: public ContentServicesDC() { 5: super(); 6: this.rMgr = new RIDCManager(); 7: } 8: .... 9: public SearchDataObject getDocInfo(String dDocName) throws Exception { 10: GetDocInfoOperation docInfo = new GetDocInfoOperation(dDocName); 11: boolean boolVal = rMgr.executeOperation(docInfo); 12: lastOperationMessage = docInfo.getMessage(); 13: return docInfo.getDataObject(); 14: } Get the binaries! The enclosed code in a example that can be used as a reference on how to consume and leverage similar use cases, user has to guarantee appropriate quality and support. Download link: https://blogs.oracle.com/ATEAM_WEBCENTER/resource/stefan.krantz/RIDCCommon.zip RIDC API Referencehttp://docs.oracle.com/cd/E23943_01/apirefs.1111/e17274/toc.htm

Read the article

The Krewe App Post-Mortem

- by Chris Gardner

Originally posted on: http://geekswithblogs.net/freestylecoding/archive/2014/05/23/the-krewe-app-post-mortem.aspxNow that teched has come and gone, I thought I would use this opportunity to do a little post-mortem on The Krewe app. It is one thing to test the app at home. It is a completely different animal to see how it responds in the environment TechEd creates. At a future time, I will list all the things that I would like to change with the app. At this point, I will find some good way to get community feedback. I want to break all this down screen by screen. We'll start with the screen I got right. The first of these is the events calendar. This is the one screen that, to you guys, just worked. However, there was an issue here. When I wrote v1 for last year, I was lazy and placed everything in CST. This caused problems with the achievements, which I will explain later. Furthermore, the event locations were not check-in locations. This created another problem with the achievements. Next, we get to the Twitter page. For what this page does, it works great. For those that don't know, I have an Azure Worker Role that polls Twitter pretty close to the rate limit. I cache these results in my database, and serve them upon request. This gives me great control over the content. I just have to remember to flush past tweets after a period, to save database growth. The next screen is the check-in screen. This screen has been the bane of my existence since I first created the thing. Last year, I used a background task to check people out of locations after they traveled. This year, I removed the background task in favor of a foursquare model. You are checked out after 3 hours or when you check-in to some other location. This seemed to work well, until those pesky achievements came into the mix. Again, more on this later. Next, I want to address the Connect and Connections screens together. I wanted to use some of the capabilities of the phone, and NFC seemed a natural choice. From this, I came up with the gamification aspects of the app. Since we are, fundamentally, a networking organization, I wanted to encourage people to actually network. Users could make and share a profile, similar to a virtual business card. I just had to figure out how to get people to use the feature. Why not just give someone a business card? Thus, the achievements were born. This was such a good idea. It would have been a great idea, if I have come up with it about two months earlier... When I came up with these ideas, I had about 2 weeks to implement them. Version 1 of the app was, basically, a pure consumption app. We provided data and centralized it. With version 2, the app became a much more interactive experience. The API was not ready for this change in such a short period of time. Most of this became apparent when I started implementing the achievements. The achievements based on count and specific person when fairly easy. The problem came with tying them to locations and events. This took some true SQL kung fu. This also showed me the rookie mistake of putting CST, not UTC, in the database. Once I got all of that cleaned up, I had to find a way to get the achievement system to talk to the phone. I knew I needed to be able to dynamically add achievements. I wouldn't know the precise location of some things until I got to Houston. I wanted the server to approve the achievements. This, unfortunately, required a decent data connection. Some achievements required GPS levels of location accuracy in areas of network triangulation. All of this became a huge nightmare. My flagship feature was based on some silly assumptions. Still, I managed to get 31 people to get the first achievement (Make 1 Connection.) Quite a few of those managed to get to the higher levels. Soon, I will post a list of the feature and changes that need to happen to the API. This includes things like proper objects for communication, geo-fencing, and caching. However, that is for another day.

Read the article

Demystified - BI in SharePoint 2010

- by Sahil Malik

Ad:: SharePoint 2007 Training in .NET 3.5 technologies (more information). Frequently, my clients ask me if there is a good guide on deciphering the seemingly daunting choice of products from Microsoft when it comes to business intelligence offerings in a SharePoint 2010 world. These are all described in detail in my book, but here is a one (well maybe two) page executive overview. Microsoft Excel: Yes, Microsoft Excel! Your favorite and most commonly used in the world database. No it isn’t a database in technical pure definitions, but this is the most commonly used ‘database’ in the world. You will find many business users craft up very compelling excel sheets with tonnes of logic inside them. Good for: Quick Ad-Hoc reports. Excel 64 bit allows the possibility of very large datasheets (Also see 32 bit vs 64 bit Office, and PowerPivot Add-In below). Audience: End business user can build such solutions. Related technologies: PowerPivot, Excel Services Microsoft Excel with PowerPivot Add-In: The powerpivot add-in is an extension to Excel that adds support for large-scale data. Think of this as Excel with the ability to deal with very large amounts of data. It has an in-memory data store as an option for Analysis services. Good for: Ad-hoc reporting and logic with very large amounts of data. Audience: End business user can build such solutions. Related technologies: Excel, and Excel Services Excel Services: Excel Services is a Microsoft SharePoint Server 2010 shared service that brings the power of Excel to SharePoint Server by providing server-side calculation and browser-based rendering of Excel workbooks. Thus, excel sheets can be created by end users, and published to SharePoint server – which are then rendered right through the browser in read-only or parameterized-read-only modes. They can also be accessed by other software via SOAP or REST based APIs. Good for: Sharing excel sheets with a larger number of people, while maintaining control/version control etc. Sharing logic embedded in excel sheets with other software across the organization via REST/SOAP interfaces Audience: End business users can build such solutions once your tech staff has setup excel services on a SharePoint server instance. Programmers can write software consuming functionality/complex formulae contained in your sheets. Related technologies: PerformancePoint Services, Excel, and PowerPivot. Visio Services: Visio Services is a shared service on the Microsoft SharePoint Server 2010 platform that allows users to share and view Visio diagrams that may or may not have data connected to them. Connected data can update these diagrams allowing a visual/graphical view into the data. The diagrams are viewable through the browser. They are rendered in silverlight, but will automatically down-convert to .png formats. Good for: Showing data as diagrams, live updating. Comes with a developer story. Audience: End business users can build such solutions once your tech staff has setup visio services on a SharePoint server instance. Developers can enhance the visualizations Related Technologies: Visio Services can be used to render workflow visualizations in SP2010 Reporting Services: SQL Server reporting services can integrate with SharePoint, allowing you to store reports and data sources in SharePoint document libraries, and render these reports and associated functionality such as subscriptions through a SharePoint site. In SharePoint 2010, you can also write reports against SharePoint lists (access services uses this technique). Good for: Showing complex reports running in a industry standard data store, such as SQL server. Audience: This is definitely developer land. Don’t expect end users to craft up reports, unless a report model has previously been published. Related Technologies: PerformancePoint Services PerformancePoint Services: PerformancePoint Services in SharePoint 2010 is now fully integrated with SharePoint, and comes with features that can either be used in the BI center site definition, or on their own as activated features in existing site collections. PerformancePoint services allows you to build reports and dashboards that target a variety of back-end datasources including: SQL Server reporting services, SQL Server analysis services, SharePoint lists, excel services, simple tables, etc. Using these you have the ability to create dashboards, scorecards/kpis, and simple reports. You can also create reports targeting hierarchical multidimensional data sources. The visual decomposition tree is a new report type that lets you quickly breakdown multi-dimensional data. Good for: Mostly everything :), except your wallet – it’s not free! But this is the most comprehensive offering. If you have SharePoint server, forget everything and go with performance point. Audience: Developers need to setup the back-end sources, manageability story. DBAs need to setup datawarehouses with cubes. Moderately sophisticated business users, or developers can craft up reports using dashboard designer which is a click-once App that deploys with PerformancePoint Related Technologies: Excel services, reporting services, etc. Other relevant technologies to know about: Business Connectivity Services: Allows for consumption of external data in SharePoint as columns or external lists. This can be paired with one or more of the above BI offerings allowing insight into such data. Access Services: Allows the representation/publishing of an access database as a SharePoint 2010 site, leveraging many SharePoint features. Reporting services is used by Access services. Secure Store Service: The SP2010 Secure store service is a replacement for the SP2007 single sign on feature. This acts as a credential policeman providing credentials to various applications running with SharePoint. BCS, PerformancePoint Services, Excel Services, and many other apps use the SSS (Secure Store Service) for credential control. Comment on the article ....

Read the article

Use WLST to Delete All JMS Messages From a Destination

- by james.bayer

I got a question today about whether WebLogic Server has any tools to delete all messages from a JMS Queue. It just so happens that the WLS Console has this capability already. It’s available on the screen after the “Show Messages” button is clicked on a destination’s Monitoring tab as seen in the screen shot below. The console is great for something ad-hoc, but what if I want to automate this? Well it just so happens that the console is just a weblogic application layered on top of the JMX Management interface. If you look at the MBean Reference, you’ll find a JMSDestinationRuntimeMBean that includes the operation deleteMessages that takes a JMS Message Selector as an argument. If you pass an empty string, that is essentially a wild card that matches all messages. Coding a stand-alone JMX client for this is kind of lame, so let’s do something more suitable to scripting. In addition to the console, WebLogic Scripting Tool (WLST) based on Jython is another way to browse and invoke MBeans, so an equivalent interactive shell session to delete messages from a destination would looks like this: D:\Oracle\fmw11gr1ps3\user_projects\domains\hotspot_domain\bin>setDomainEnv.cmd D:\Oracle\fmw11gr1ps3\user_projects\domains\hotspot_domain>java weblogic.WLST Initializing WebLogic Scripting Tool (WLST) ... Welcome to WebLogic Server Administration Scripting Shell Type help() for help on available commands wls:/offline> connect('weblogic','welcome1','t3://localhost:7001') Connecting to t3://localhost:7001 with userid weblogic ... Successfully connected to Admin Server 'AdminServer' that belongs to domain 'hotspot_domain'. Warning: An insecure protocol was used to connect to the server. To ensure on-the-wire security, the SSL port or Admin port should be used instead. wls:/hotspot_domain/serverConfig> serverRuntime() Location changed to serverRuntime tree. This is a read-only tree with ServerRuntimeMBean as the root. For more help, use help(serverRuntime) wls:/hotspot_domain/serverRuntime> cd('JMSRuntime/AdminServer.jms/JMSServers/JMSServer-0/Destinations/SystemModule-0!Queue-0') wls:/hotspot_domain/serverRuntime/JMSRuntime/AdminServer.jms/JMSServers/JMSServer-0/Destinations/SystemModule-0!Queue-0> ls() dr-- DurableSubscribers -r-- BytesCurrentCount 0 -r-- BytesHighCount 174620 -r-- BytesPendingCount 0 -r-- BytesReceivedCount 253548 -r-- BytesThresholdTime 0 -r-- ConsumersCurrentCount 0 -r-- ConsumersHighCount 0 -r-- ConsumersTotalCount 0 -r-- ConsumptionPaused false -r-- ConsumptionPausedState Consumption-Enabled -r-- DestinationInfo javax.management.openmbean.CompositeDataSupport(compositeType=javax.management.openmbean.CompositeType(name=DestinationInfo,items=((itemName=ApplicationName,itemType=javax.management.openmbean.SimpleType(name=java.lang.String)),(itemName=ModuleName,itemType=javax.management.openmbean.SimpleType(name=java.lang.String)),(itemName openmbean.SimpleType(name=java.lang.Boolean)),(itemName=SerializedDestination,itemType=javax.management.openmbean.SimpleType(name=java.lang.String)),(itemName=ServerName,itemType=javax.management.openmbean.SimpleType(name=java.lang.String)),(itemName=Topic,itemType=javax.management.openmbean.SimpleType(name=java.lang.Boolean)),(itemName=VersionNumber,itemType=javax.management.op ule-0!Queue-0, Queue=true, SerializedDestination=rO0ABXNyACN3ZWJsb2dpYy5qbXMuY29tbW9uLkRlc3RpbmF0aW9uSW1wbFSmyJ1qZfv8DAAAeHB3kLZBABZTeXN0ZW1Nb2R1bGUtMCFRdWV1ZS0wAAtKTVNTZXJ2ZXItMAAOU3lzdGVtTW9kdWxlLTABAANBbGwCAlb6IS6T5qL/AAAACgEAC0FkbWluU2VydmVyAC2EGgJW+iEuk+ai/wAAAAsBAAtBZG1pblNlcnZlcgAthBoAAQAQX1dMU19BZG1pblNlcnZlcng=, ServerName=JMSServer-0, Topic=false, VersionNumber=1}) -r-- DestinationType Queue -r-- DurableSubscribers null -r-- InsertionPaused false -r-- InsertionPausedState Insertion-Enabled -r-- MessagesCurrentCount 0 -r-- MessagesDeletedCurrentCount 3 -r-- MessagesHighCount 2 -r-- MessagesMovedCurrentCount 0 -r-- MessagesPendingCount 0 -r-- MessagesReceivedCount 3 -r-- MessagesThresholdTime 0 -r-- Name SystemModule-0!Queue-0 -r-- Paused false -r-- ProductionPaused false -r-- ProductionPausedState Production-Enabled -r-- State advertised_in_cluster_jndi -r-- Type JMSDestinationRuntime -r-x closeCursor Void : String(cursorHandle) -r-x deleteMessages Integer : String(selector) -r-x getCursorEndPosition Long : String(cursorHandle) -r-x getCursorSize Long : String(cursorHandle) -r-x getCursorStartPosition Long : String(cursorHandle) -r-x getItems javax.management.openmbean.CompositeData[] : String(cursorHandle),Long(start),Integer(count) -r-x getMessage javax.management.openmbean.CompositeData : String(cursorHandle),Long(messageHandle) -r-x getMessage javax.management.openmbean.CompositeData : String(cursorHandle),String(messageID) -r-x getMessage javax.management.openmbean.CompositeData : String(messageID) -r-x getMessages String : String(selector),Integer(timeout) -r-x getMessages String : String(selector),Integer(timeout),Integer(state) -r-x getNext javax.management.openmbean.CompositeData[] : String(cursorHandle),Integer(count) -r-x getPrevious javax.management.openmbean.CompositeData[] : String(cursorHandle),Integer(count) -r-x importMessages Void : javax.management.openmbean.CompositeData[],Boolean(replaceOnly) -r-x moveMessages Integer : String(java.lang.String),javax.management.openmbean.CompositeData,Integer(java.lang.Integer) -r-x moveMessages Integer : String(selector),javax.management.openmbean.CompositeData -r-x pause Void : -r-x pauseConsumption Void : -r-x pauseInsertion Void : -r-x pauseProduction Void : -r-x preDeregister Void : -r-x resume Void : -r-x resumeConsumption Void : -r-x resumeInsertion Void : -r-x resumeProduction Void : -r-x sort Long : String(cursorHandle),Long(start),String[](fields),Boolean[](ascending) wls:/hotspot_domain/serverRuntime/JMSRuntime/AdminServer.jms/JMSServers/JMSServer-0/Destinations/SystemModule-0!Queue-0> cmo.deleteMessages('') 2 where the domain name is “hotspot_domain”, the JMS Server name is “JMSServer-0”, the Queue name is “Queue-0” and the System Module is named “SystemModule-0”. To invoke the operation, I use the “cmo” object, which is the “Current Management Object” that represents the currently navigated to MBean. The 2 indicates that two messages were deleted. Combining this WLST code with a recent post by my colleague Steve that shows you how to use an encrypted file to store the authentication credentials, you could easily turn this into a secure automated script. If you need help with that step, a long while back I blogged about some WLST basics. Happy scripting.

Read the article

Identity R2 - Experts Podcast Series

- by Tanu Sood

To follow up on the Identity Management R2 launch, a series of podcasts were recorded with subject matter experts from customer organizations, our partners and Oracle’s PM team to discuss key trends, R2 capabilities, implementation best practices and more. Below is a roll-up of the podcast series that is available on Fusion Middleware radio. R2 Podcasts: · Designing the Next-Generation Identity Platform Vadim Lander, Oracle Highlights: Common architecture model, integration, interoperability and the driving factors behind R2 innovation IT Departments are shifting their Identity Management strategy to be able to support mobile, cloud and social applications. Oracle has anticipated this shift and has built a product roadmap to take advantage of this focus. Join Vadim as he discusses the design strategy behind the latest 11gR2 release and talks about how IDM services have to evolve to meet this new challenge. · BETA Customer Perspective on R2 Ravi Meduri, Kaiser Permanente Highlights: R2 scalability and high availability In this podcast Ravi discusses the new features in 11gR2 that he is most interested in, including High Availability options for Access Management, multi-datacenter architecture, and what it was like working with the Oracle product team during the BETA program. · Partner Perspective on R2 Rex Thexton, PricewaterhouseCoopers Highlights: Usability Enhancements for Users and Administrators A lot of new usability features went into the 11gR2 release making this the most business friendly IDM release to date. In this podcast Rex Thexton, Managing Director from PwC, talks about some of the new UI changes for both end users and administrators, and also about the new connector creation framework. Access Request Updates in R2 Marc Boroditsky, Oracle Highlights: Access request User Interface innovations A lot of changes have been made to the Access Request user interface in the latest version of Oracle Identity Manager 11gR2. A real focus has been put on making the request process more business user friendly, and a lot of new customization capability has been added for the IT administrators. Hear Marc discuss the updated UI, and explain how administrators will be able to customize OIM to meet their company's requirements · Oracle Optimized System for Oracle Unified Directory (OOS4OUD) Nick Kloski, Oracle Highlights: New Optimized System configuration for Unified Directory One of the new features in 11gR2 is the availability of an Optimized System configuration for Oracle Unified Directory. Oracle engineers installed the OUD software onto off the shelf hardware and then created a performance tuned configuration. Join us as we talk to Nick Kloski, Infrastructure Solutions Manager, all about the testing process and the resulting performance metrics. Privileged Account Management Mark Wilcox, Oracle Highlights: Oracle Privileged Account Manager key capabilities, use cases The new release of Oracle Identity Management 11g R2 includes the capability to manage privileged accounts. Privileged accounts, if compromised, create a risk for fraud in the enterprise and as a result controlling access to privileged accounts is critical. Hear what Mark Wilcox, Principal Product Manager of Oracle Privileged Account Manager has to say about the capabilities of the offering in this podcast. · Browser-based User Interface (UI) Customization Clayton Donley, Oracle Highlights: Benefits of Durable UI Configuration framework Business users need user interfaces that are not only friendly but also easily customizable. However the downside of any customization project is the cost and complexity involved in developing, testing, deploying and managing custom code. In this podcast, we examine how a new capability in Oracle Identity Management around browser based UI customization can reduce costs and complexity of customization while simplifying self service integration with corporate portal strategies. · Simplifying Mobile and Social Sign-On Dan Killmer, Oracle Highlights: Secure mobile sign-on and consumption of social identities with Oracle Access Management The proliferation of mobile devices has spurred a new trend where employees tend to bring their own mobile devices to work and access corporate applications the same way they would access from a desktop or laptop. In this podcast, we examine how Oracle's latest innovation in Identity Management around Mobile and Social Sign On can simplify security and access management challenges posed by the widespread adoption of mobile devices in the enterprise. · Enabling Your Business with IDM R2 Scott Bonnell, Oracle Highlights: Self service, mobile access, personalization Gone are the days when Identity Management was just about stopping unauthorized users in their tracks. Identity Management if done right, can also enable your business. Join Scott Bonnell as he discusses how the IDM 11gR2 release enables the enterprise by providing self service, personalization and mobile access to corporate resources.

Read the article

Timeout Considerations for Solicit Response – Part 2

- by Michael Stephenson

To follow up a previous article about timeouts and how they can affect your application I have extended the sample we were using to include WCF. I will execute some test scenarios and discuss the results. The sample We begin by consuming exactly the same web service which is sitting on a remote server. This time I have created a .net 3.5 application which will consume the web service using the basichttp binding. To show you the configuration for the consumption of this web service please refer to the below diagram. You can see like before we also have the connectionManagement element in the configuration file. I have added a WCF service reference (also using the asynchronous proxy methods) and have the below code sample in the application which will asynchronously make the web service calls and handle the responses on a call back method invoked by a delegate. If you have read the previous article you will notice that the code is almost the same. Sample 1 – WCF with Default Timeouts In this test I set about recreating the same scenario as previous where we would run the test but this time using WCF as the messaging component. For the first test I would use the default configuration settings which WCF had setup when we added a reference to the web service. The timeout values for this test are: closeTimeout="00:01:00" openTimeout="00:01:00" receiveTimeout="00:10:00" sendTimeout="00:01:00" The Test We simulated 21 calls to the web service Test Results The client-side trace is as follows: The server-side trace is as follows: Some observations on the results are as follows: The timeouts happened quicker than in the previous tests because some calls were timing out before they attempted to connect to the server The first few calls that timed out did actually connect to the server and did execute successfully on the server Test 2 – Increase Open Connection Timeout & Send Timeout In this test I wanted to increase both the send and open timeout values to try and give everything a chance to go through. The timeout values for this test are: closeTimeout="00:01:00" openTimeout="00:10:00" receiveTimeout="00:10:00" sendTimeout="00:10:00" The Test We simulated 21 calls to the web service Test Results The client side trace for this test was The server-side trace for this test was: Some observations on this test are: This test proved if the timeouts are high enough everything will just go through Test 3 – Increase just the Send Timeout In this test we wanted to increase just the send timeout. The timeout values for this test are: closeTimeout="00:01:00" openTimeout="00:01:00" receiveTimeout="00:10:00" sendTimeout="00:10:00" The Test We simulated 21 calls to the web service Test Results The below is the client side trace The below is the server side trace Some observations on this test are: In this test from both the client and server perspective everything ran through fine The open connection timeout did not seem to have any effect Test 4 – Increase Just the Open Connection Timeout In this test I wanted to validate the change to the open connection setting by increasing just this on its own. The timeout values for this test are: closeTimeout="00:01:00" openTimeout="00:10:00" receiveTimeout="00:10:00" sendTimeout="00:01:00" The Test We simulated 21 calls to the web service Test Results The client side trace was The server side trace was Some observations on this test are: In this test you can see that the open connection which relates to opening the channel timeout increase was not the thing which stopped the calls timing out It's the send of data which is timing out On the server you can see that the successful few calls were fine but there were also a few calls which hit the server but timed out on the client You can see that not all calls hit the server which was one of the problems with the WSE and ASMX options Test 5 – Smaller Increase in Send Timeout In this test I wanted to make a smaller increase to the send timeout than previous just to prove that it was the key setting which was controlling what was timing out. The timeout values for this test are: openTimeout="00:01:00" receiveTimeout="00:10:00" sendTimeout="00:02:30" The Test We simulated 21 calls to the web service Test Results The client side trace was The server side trace was Some observations on this test are: You can see that most of the calls got through fine On the client you can see that call 20 timed out but still hit the server and executed fine. Summary At this point between the two articles we have quite a lot of scenarios showing the different way the timeout setting have played into our original performance issue, and now we can see how WCF could offer an improved way to handle the problem. To summarise the differences in the timeout properties for the three technology stacks: ASMX The timeout value only applies to the execution time of your request on the server. The timeout does not consider how long your code might be waiting client side to get a connection. WSE The timeout value includes both the time to obtain a connection and also the time to execute the request. A timeout will not be thrown as an error until an attempt to connect to the server is made. This means a 40 second timeout setting may not throw the error until 60 seconds when the connection to the server is made. If the connection to the server is made you should be aware that your message will be processed and you should design for this. WCF The WCF send timeout is the setting most equivalent to the settings we were looking at previously. Like WSE this setting the counter includes the time to get a connection as well as the time to execute on a server. Unlike WSE and ASMX an error will be thrown as soon as the send timeout from making your call from user code has elapsed regardless of whether we are waiting for a connection or have an open connection to the server. This may to a user appear to have better latency in getting an error response compared to WSE or ASMX.

Read the article

New Replication, Optimizer and High Availability features in MySQL 5.6.5!

- by Rob Young

As the Product Manager for the MySQL database it is always great to announce when the MySQL Engineering team delivers another great product release. As a field DBA and developer it is even better when that release contains improvements and innovation that I know will help those currently using MySQL for apps that range from modest intranet sites to the most highly trafficked web sites on the web. That said, it is my pleasure to take my hat off to MySQL Engineering for today's release of the MySQL 5.6.5 Development Milestone Release ("DMR"). The new highlighted features in MySQL 5.6.5 are discussed here: New Self-Healing Replication ClustersThe 5.6.5 DMR improves MySQL Replication by adding Global Transaction Ids and automated utilities for self-healing Replication clusters. Prior to 5.6.5 this has been somewhat of a pain point for MySQL users with most developing custom solutions or looking to costly, complex third-party solutions for these capabilities. With 5.6.5 these shackles are all but removed by a solution that is included with the GPL version of the database and supporting GPL tools. You can learn all about the details of the great, problem solving Replication features in MySQL 5.6 in Mat Keep's Developer Zone article. New Replication Administration and Failover UtilitiesAs mentioned above, the new Replication features, Global Transaction Ids specifically, are now supported by a set of automated GPL utilities that leverage the new GTIDs to provide administration and manual or auto failover to the most up to date slave (that is the default, but user configurable if needed) in the event of a master failure. The new utilities, along with links to Engineering related blogs, are discussed in detail in the DevZone Article noted above. Better Query Optimization and ThroughputThe MySQL Optimizer team continues to amaze with the latest round of improvements in 5.6.5. Along with much refactoring of the legacy code base, the Optimizer team has improved complex query optimization and throughput by adding these functional improvements: Subquery Optimizations - Subqueries are now included in the Optimizer path for runtime optimization. Better throughput of nested queries enables application developers to simplify and consolidate multiple queries and result sets into a single unit or work. Optimizer now uses CURRENT_TIMESTAMP as default for DATETIME columns - For simplification, this eliminates the need for application developers to assign this value when a column of this type is blank by default. Optimizations for Range based queries - Optimizer now uses ready statistics vs Index based scans for queries with multiple range values. Optimizations for queries using filesort and ORDER BY. Optimization criteria/decision on execution method is done now at optimization vs parsing stage. Print EXPLAIN in JSON format for hierarchical readability and Enterprise tool consumption. You can learn the details about these new features as well all of the Optimizer based improvements in MySQL 5.6 by following the Optimizer team blog. You can download and try the MySQL 5.6.5 DMR here. (look under "Development Releases") Please let us know what you think! The new HA utilities for Replication Administration and Failover are available as part of the MySQL Workbench Community Edition, which you can download here .Also New in MySQL LabsAs has become our tradition when announcing DMRs we also like to provide "Early Access" development features to the MySQL Community via the MySQL Labs. Today is no exception as we are also releasing the following to Labs for you to download, try and let us know your thoughts on where we need to improve:InnoDB Online OperationsMySQL 5.6 now provides Online ADD Index, FK Drop and Online Column RENAME. These operations are non-blocking and will continue to evolve in future DMRs. You can learn the grainy details by following John Russell's blog.InnoDB data access via Memcached API ("NotOnlySQL") - Improved refresh of an earlier feature releaseSimilar to Cluster 7.2, MySQL 5.6 provides direct NotOnlySQL access to InnoDB data via the familiar Memcached API. This provides the ultimate in flexibility for developers who need fast, simple key/value access and complex query support commingled within their applications.Improved Transactional Performance, ScaleThe InnoDB Engineering team has once again under promised and over delivered in the area of improved performance and scale. These improvements are also included in the aggregated Spring 2012 labs release:InnoDB CPU cache performance improvements for modern, multi-core/CPU systems show great promise with internal tests showing: 2x throughput improvement for read only activity 6x throughput improvement for SELECT range Read/Write benchmarks are in progress More details on the above are available here. You can download all of the above in an aggregated "InnoDB 2012 Spring Labs Release" binary from the MySQL Labs. You can also learn more about these improvements and about related fixes to mysys mutex and hash sort by checking out the InnoDB team blog.MySQL 5.6.5 is another installment in what we believe will be the best release of the MySQL database ever. It also serves as a shining example of how the MySQL Engineering team at Oracle leads in MySQL innovation.You can get the overall Oracle message on the MySQL 5.6.5 DMR and Early Access labs features here. As always, thanks for your continued support of MySQL, the #1 open source database on the planet!

Read the article

About Solaris 11 and UltraSPARC II/III/IV/IV+

- by nospam(at)example.com (Joerg Moellenkamp)

I know that I will get the usual amount of comments like "Oh, Jörg ? you can't be negative about Oracle" for this article. However as usual I want to explain the logic behind my reasoning. Yes ? I know that there is a lot of UltraSPARC III, IV and IV+ gear out there. But there are some very basic questions: Does your application you are currently running on this gear stops running just because you can't run Solaris 11 on it? What is the need to upgrade a system already in production to Solaris 11? I have the impression, that some people think that the systems get useless in the moment Oracle releases Solaris 11. I know that Sun sold UltraSPARC IV+ systems until 2009. The Sun SF490 introduced 2004 for example, that was a Sun SF480 with UltraSPARC IV and later with UltraSPARC IV+. And yes, Sun made some speedbumps. At that time the systems of the UltraSPARC III to IV+ generations were supported on Solaris 8, on Solaris 9 and on Solaris 10. However from my perspective we sold them to customers, which weren't able to migrate to Solaris 10 because they used applications not supported on Solaris 9 or who just didn't wanted to migrate to Solaris 10. Believe it or not ? I personally know two customers that migrated core systems to Solaris 10 in ? well 2008/9. This was especially true when the M3000 was announced in 2008 when it closed the darned single socket gap. It may be different at you site, however that's what I remember about that time when talking with customers. At first: Just because there is no Solaris 11 for UltraSPARC III, IV and IV+, it doesn't mean that Solaris 10 will go away anytime soon. I just want to point you to "Expect Lifetime Support - Hardware and Operating Systems". It states about Premier Support:Maintenance and software upgrades are included for Oracle operating systems and Oracle VM for a minimum of eight years from the general availability date.GA for Solaris 10 was in 2005. Plus 8 years ? 2013 ? at minimum. Then you can still opt for 3 years of "Extended Support" ? 2016 ? at minimum. 2016 your systems purchased in 2009 are 7 years old. Even on systems purchased at the very end of the lifetime of that system generation. That are the rules as written in the linked document. I said minimum The actual dates are even further in the future: Premier Support for Solaris 10 ends in 2015, Extended support ends 2018. Sustaining support ? indefinite. You will find this in the document "Oracle Lifetime Support Policy: Oracle Hardware and Operating Systems".So I don't understand when some people write, that Oracle is less protective about hardware investments than Sun. And for hardware it's the same as with Sun: Service 5 years after EOL as part of Premier Support. I would like to write about a different perspective as well: I have to be a little cautious here, because this is going in the roadmap area, so I will mention the public sources here: John Fowler told last year that we have to expect at at least 3x the single thread performance of T3 for T4. We have 8 cores in T4, as stated by Rick Hetherington. Let's assume for a moment that a T4 core will have the performance of a UltraSPARC core (just to simplify math and not to disclosing anything about the performance, all existing SPARC cores are considered equal). So given this pieces of information, you could consolidate 8 V215, 4 or 8 V245, 2 full blown V445,2 full blown 490, 2 full blown M3000 on a single T4 SPARC processor. The Fowler roadmap prezo talked about 4-socket systems with T4. So 32 V215, 16 to 8 V245, 8 fullblown V445, 8 full blown V490, 8 full blown M3000 in a system image. I think you get the idea. That said, most of the systems we are talking about have already amortized and perhaps it's just time to invest in new systems to yield other advantages like reduced space consumptions, like reduced power consumption, like some of the neat features sun4v gives you, and yes ? reduced number of processor licenses for Oracle and less money for Oracle HW/SW support. As much as I dislike it myself that my own UltraSPARC III and UltraSPARC II based systems won't run on Solaris 11 (and I have quite a few of them in my personal lab), I really think that the impact on production environments will be much less than most people think now. By the way: The reason for this move is a quite significant new feature. I will tell you that it was this feature, when it's out. I assume, telling just a word more could lead to much more time to blog.

Read the article

Session Report - Java on the Raspberry Pi

- by Janice J. Heiss

On mid-day Wednesday, the always colorful Oracle Evangelist Simon Ritter demonstrated Java on the Raspberry Pi at his session, “Do You Like Coffee with Your Dessert?”. The Raspberry Pi consists of a credit card-sized single-board computer developed in the UK with the intention of stimulating the teaching of basic computer science in schools. “I don't think there is a single feature that makes the Raspberry Pi significant,” observed Ritter, “but a combination of things really makes it stand out. First, it's $35 for what is effectively a completely usable computer. You do have to add a power supply, SD card for storage and maybe a screen, keyboard and mouse, but this is still way cheaper than a typical PC. The choice of an ARM (Advanced RISC Machine and Acorn RISC Machine) processor is noteworthy, because it avoids problems like cooling (no heat sink or fan) and can use a USB power brick. When you add in the enormous community support, it offers a great platform for teaching everyone about computing.”Some 200 enthusiastic attendees were present at the session which had the feel of Simon Ritter sharing a fun toy with friends. The main point of the session was to show what Oracle was doing to support Java on the Raspberry Pi in a way that is entertaining and fun. Ritter pointed out that, in addition to being great for teaching, it’s an excellent introduction to the ARM architecture, and runs well with Java and will get better once it has official hard float support. The possibilities are vast.Ritter explained that the Raspberry Pi Project started in 2006 with the goal of devising a computer to inspire children; it drew inspiration from the BBC Micro literacy project of 1981 that produced a series of microcomputers created by the Acorn Computer company. It was officially launched on February 29, 2012, with a first production of 10,000 boards. There were 100,000 pre-orders in one day; currently about 4,000 boards are produced a day. Ritter described the specification as follows:* CPU: ARM 11 core running at 700MHz Broadcom SoC package Can now be overclocked to 1GHz (without breaking the warranty!) * Memory: 256Mb* I/O: HDMI and composite video 2 x USB ports (Model B only) Ethernet (Model B only) Header pins for GPIO, UART, SPI and I2C He took attendees through a brief history of ARM Architecture:* Acorn BBC Micro (6502 based) Not powerful enough for Acorn’s plans for a business computer * Berkeley RISC Project UNIX kernel only used 30% of instruction set of Motorola 68000 More registers, less instructions (Register windows) One chip architecture to come from this was… SPARC * Acorn RISC Machine (ARM) 32-bit data, 26-bit address space, 27 registers First machine was Acorn Archimedes * Spin off from Acorn, Advanced RISC MachinesNext he presented its features:* 32-bit RISC Architecture– ARM accounts for 75% of embedded 32-bit CPUs today– 6.1 Billion chips sold last year (zero manufactured by ARM)* Abstract architecture and microprocessor core designs– Raspberry Pi is ARM11 using ARMv6 instruction set* Low power consumption– Good for mobile devices– Raspberry Pi can be powered from 700mA 5V only PSU– Raspberry Pi does not require heatsink or fanHe described the current ARM Technology:* ARMv6– ARM 11, ARM Cortex-M* ARMv7– ARM Cortex-A, ARM Cortex-M, ARM Cortex-R* ARMv8 (Announced)– Will support 64-bit data and addressingHe next gave the Java Specifics for ARM: Floating point operations* Despite being an ARMv6 processor it does include an FPU– FPU only became standard as of ARMv7* FPU (Hard Float, or HF) is much faster than a software library* Linux distros and Oracle JVM for ARM assume no HF on ARMv6– Need special build of both– Raspbian distro build now available– Oracle JVM is in the works, release date TBDNot So RISCPerformance Improvements* DSP Enhancements* Jazelle* Thumb / Thumb2 / ThumbEE* Floating Point (VFP)* NEON* Security Enhancements (TrustZone)He spent a few minutes going over the challenges of using Java on the Raspberry Pi and covered:* Sound* Vision * Serial (TTL UART)* USB* GPIOTo implement sound with Java he pointed out:* Sound drivers are now included in new distros* Java Sound API– Remember to add audio to user’s groups– Some bits work, others not so much* Playing (the right format) WAV file works* Using MIDI hangs trying to open a synthesizer* FreeTTS text-to-speech– Should work once sound works properlyHe turned to JavaFX on the Raspberry Pi:* Currently internal builds only– Will be released as technology preview soon* Work involves optimal implementation of Prism graphics engine– X11?* Once the JavaFX implementation is completed there will be little of concern to developers-- It’s just Java (WORA). He explained the basis of the Serial Port:* UART provides TTL level signals (3.3V)* RS-232 uses 12V signals* Use MAX3232 chip to convert* Use this for access to serial consoleHe summarized his key points. The Raspberry Pi is a very cool (and cheap) computer that is great for teaching, a great introduction to ARM that works very well with Java and will work better in the future. The opportunities are limitless. For further info, check out, Raspberry Pi User Guide by Eben Upton and Gareth Halfacree. From there, Ritter tried out several fun demos, some of which worked better than others, but all of which were greeted with considerable enthusiasm and support and good humor (even when he ran into some glitches). All in all, this was a fun and lively session.

Read the article

CPU Usage in Very Large Coherence Clusters

- by jpurdy

When sizing Coherence installations, one of the complicating factors is that these installations (by their very nature) tend to be application-specific, with some being large, memory-intensive caches, with others acting as I/O-intensive transaction-processing platforms, and still others performing CPU-intensive calculations across the data grid. Regardless of the primary resource requirements, Coherence sizing calculations are inherently empirical, in that there are so many permutations that a simple spreadsheet approach to sizing is rarely optimal (though it can provide a good starting estimate). So we typically recommend measuring actual resource usage (primarily CPU cycles, network bandwidth and memory) at a given load, and then extrapolating from those measurements. Of course there may be multiple types of load, and these may have varying degrees of correlation -- for example, an increased request rate may drive up the number of objects "pinned" in memory at any point, but the increase may be less than linear if those objects are naturally shared by concurrent requests. But for most reasonably-designed applications, a linear resource model will be reasonably accurate for most levels of scale. However, at extreme scale, sizing becomes a bit more complicated as certain cluster management operations -- while very infrequent -- become increasingly critical. This is because certain operations do not naturally tend to scale out. In a small cluster, sizing is primarily driven by the request rate, required cache size, or other application-driven metrics. In larger clusters (e.g. those with hundreds of cluster members), certain infrastructure tasks become intensive, in particular those related to members joining and leaving the cluster, such as introducing new cluster members to the rest of the cluster, or publishing the location of partitions during rebalancing. These tasks have a strong tendency to require all updates to be routed via a single member for the sake of cluster stability and data integrity. Fortunately that member is dynamically assigned in Coherence, so it is not a single point of failure, but it may still become a single point of bottleneck (until the cluster finishes its reconfiguration, at which point this member will have a similar load to the rest of the members). The most common cause of scaling issues in large clusters is disabling multicast (by configuring well-known addresses, aka WKA). This obviously impacts network usage, but it also has a large impact on CPU usage, primarily since the senior member must directly communicate certain messages with every other cluster member, and this communication requires significant CPU time. In particular, the need to notify the rest of the cluster about membership changes and corresponding partition reassignments adds stress to the senior member. Given that portions of the network stack may tend to be single-threaded (both in Coherence and the underlying OS), this may be even more problematic on servers with poor single-threaded performance. As a result of this, some extremely large clusters may be configured with a smaller number of partitions than ideal. This results in the size of each partition being increased. When a cache server fails, the other servers will use their fractional backups to recover the state of that server (and take over responsibility for their backed-up portion of that state). The finest granularity of this recovery is a single partition, and the single service thread can not accept new requests during this recovery. Ordinarily, recovery is practically instantaneous (it is roughly equivalent to the time required to iterate over a set of backup backing map entries and move them to the primary backing map in the same JVM). But certain factors can increase this duration drastically (to several seconds): large partitions, sufficiently slow single-threaded CPU performance, many or expensive indexes to rebuild, etc. The solution of course is to mitigate each of those factors but in many cases this may be challenging. Larger clusters also lead to the temptation to place more load on the available hardware resources, spreading CPU resources thin. As an example, while we've long been aware of how garbage collection can cause significant pauses, it usually isn't viewed as a major consumer of CPU (in terms of overall system throughput). Typically, the use of a concurrent collector allows greater responsiveness by minimizing pause times, at the cost of reducing system throughput. However, at a recent engagement, we were forced to turn off the concurrent collector and use a traditional parallel "stop the world" collector to reduce CPU usage to an acceptable level. In summary, there are some less obvious factors that may result in excessive CPU consumption in a larger cluster, so it is even more critical to test at full scale, even though allocating sufficient hardware may often be much more difficult for these large clusters.

Read the article

Social Engagement: One Size Doesn't Fit Anyone

- by Mike Stiles

The key to achieving meaningful social engagement is to know who you’re talking to, know what they like, and consistently deliver that kind of material to them. Every magazine for women knows this. When you read the article titles promoted on their covers, there’s no mistaking for whom that magazine is intended. And yet, confusion still reigns at many brands as to exactly whom they want to talk to, what those people want to hear, and what kind of content they should be creating for them. In most instances, the root problem is brands want to be all things to all people. Their target audience…the world! Good luck with that. It’s 2012, the age of aggregation and custom content delivery. To cope with the modern day barrage of information, people have constructed technological filters so that content they regard as being “for them” is mostly what gets through. Even if your brand is for men and women, young and old, you may want to consider social properties that divide men from women, and young from old. Yes, a man might find something in a women’s magazine that interests him. But that doesn’t mean he’s going to subscribe to it, or buy even one issue. In fact he’ll probably never see the article he’d otherwise be interested in, because in his mind, “This isn’t for me.” It wasn’t packaged for him. News Flash: men and women are different. So it’s a tall order to craft your Facebook Page or Twitter handle to simultaneously exude the motivators for both. The Harris Interactive study “2012 Connecting and Communicating Online: State of Social Media” sheds light on the differing social behaviors and drivers. -65% of women (vs. 59% of men) stay glued to social because they don’t want to miss anything. -25% of women check social when they wake up, before they check email. Only 18% of men check social before e-mail. -95% of women surveyed belong to Facebook vs. 86% of men. -67% of women log in to Facebook once a day or more vs. 54% of men. -Conventional wisdom is Pinterest is mostly a woman-thing, right? That may be true for viewing, but not true for sharing. Men are actually more likely to share on Pinterest than women, 23% to 10%. -The sharing divide extends to YouTube. 68% of women use it mainly for consumption, as opposed to 52% of men. -Women are as likely to have a Twitter account as men, but they’re much less likely to check it often. 54% of women check it once a week compared to 2/3 of men. Obviously, there are some takeaways from this depending on your target. Women don’t want to miss out on anything, so serialized content might be a good idea, right? Promotional posts that lead to a big payoff could keep them hooked. Posts for women might be better served first thing in the morning. If sharing is your goal, maybe male-targeted content is more likely to get those desired shares. And maybe Twitter is a better place to aim your male-targeted content than Facebook. Some grocery stores started experimenting with male-only aisles. The results have been impressive. Why? Because while it’s true men were finding those same items in the store just fine before, now something has been created just for them. They have a place in the store where they belong. Each brand’s strategy and targets are going to differ. The point is…know who you’re talking to, know how they behave, know what they like, and deliver content using any number of social relationship management targeting tools that meets their expectations. If, however, you’re committed to a one-size-fits-all, “our content is for everybody” strategy (or even worse, a “this is what we want to put out and we expect everybody to love it” strategy), your content will miss the mark for more often than it hits. @mikestilesPhoto via stock.schng

Read the article

Cloud Computing Forces Better Design Practices

- by Herve Roggero

Is cloud computing simply different than on premise development, or is cloud computing actually forcing you to create better applications than you normally would? In other words, is cloud computing merely imposing different design principles, or forcing better design principles? A little while back I got into a discussion with a developer in which I was arguing that cloud computing, and specifically Windows Azure in his case, was forcing developers to adopt better design principles. His opinion was that cloud computing was not yielding better systems; just different systems. In this blog, I will argue that cloud computing does force developers to use better design practices, and hence better applications. So the first thing to define, of course, is the word “better”, in the context of application development. Looking at a few definitions online, better means “superior quality”. As it relates to this discussion then, I stipulate that cloud computing can yield higher quality applications in terms of scalability, everything else being equal. Before going further I need to also outline the difference between performance and scalability. Performance and scalability are two related concepts, but they don’t mean the same thing. Scalability is the measure of system performance given various loads. So when developers design for performance, they usually give higher priority to a given load and tend to optimize for the given load. When developers design for scalability, the actual performance at a given load is not as important; the ability to ensure reasonable performance regardless of the load becomes the objective. This can lead to very different design choices. For example, if your objective is to obtains the fastest response time possible for a service you are building, you may choose the implement a TCP connection that never closes until the client chooses to close the connection (in other words, a tightly coupled service from a connectivity standpoint), and on which a connection session is established for faster processing on the next request (like SQL Server or other database systems for example). If you objective is to scale, you may implement a service that answers to requests without keeping session state, so that server resources are released as quickly as possible, like a REST service for example. This alternate design would likely have a slower response time than the TCP service for any given load, but would continue to function at very large loads because of its inherently loosely coupled design. An example of a REST service is the NO-SQL implementation in the Microsoft cloud called Azure Tables. Now, back to cloud computing… Cloud computing is designed to help you scale your applications, specifically when you use Platform as a Service (PaaS) offerings. However it’s not automatic. You can design a tightly-coupled TCP service as discussed above, and as you can imagine, it probably won’t scale even if you place the service in the cloud because it isn’t using a connection pattern that will allow it to scale [note: I am not implying that all TCP systems do not scale; I am just illustrating the scalability concepts with an imaginary TCP service that isn’t designed to scale for the purpose of this discussion]. The other service, using REST, will have a better chance to scale because, by design, it minimizes resource consumption for individual requests and doesn’t tie a client connection to a specific endpoint (which means you can easily deploy this service to hundreds of machines without much trouble, as long as your pockets are deep enough). The TCP and REST services discussed above are both valid designs; the TCP service is faster and the REST service scales better. So is it fair to say that one service is fundamentally better than the other? No; not unless you need to scale. And if you don’t need to scale, then you don’t need the cloud in the first place. However, it is interesting to note that if you do need to scale, then a loosely coupled system becomes a better design because it can almost always scale better than a tightly-coupled system. And because most applications grow overtime, with an increasing user base, new functional requirements, increased data and so forth, most applications eventually do need to scale. So in my humble opinion, I conclude that a loosely coupled system is not just different than a tightly coupled system; it is a better design, because it will stand the test of time. And in my book, if a system stands the test of time better than another, it is of superior quality. Because cloud computing demands loosely coupled systems so that its underlying service architecture can be leveraged, developers ultimately have no choice but to design loosely coupled systems for the cloud. And because loosely coupled systems are better… … the cloud forces better design practices. My 2 cents.

Read the article

Coherence Data Guarantees for Data Reads - Basic Terminology

- by jpurdy

When integrating Coherence into applications, each application has its own set of requirements with respect to data integrity guarantees. Developers often describe these requirements using expressions like "avoiding dirty reads" or "making sure that updates are transactional", but we often find that even in a small group of people, there may be a wide range of opinions as to what these terms mean. This may simply be due to a lack of familiarity, but given that Coherence sits at an intersection of several (mostly) unrelated fields, it may be a matter of conflicting vocabularies (e.g. "consistency" is similar but different in transaction processing versus multi-threaded programming). Since almost all data read consistency issues are related to the concept of concurrency, it is helpful to start with a definition of that, or rather what it means for two operations to be concurrent. Rather than implying that they occur "at the same time", concurrency is a slightly weaker statement -- it simply means that it can't be proven that one event precedes (or follows) the other. As an example, in a Coherence application, if two client members mutate two different cache entries sitting on two different cache servers at roughly the same time, it is likely that one update will precede the other by a significant amount of time (say 0.1ms). However, since there is no guarantee that all four members have their clocks perfectly synchronized, and there is no way to precisely measure the time it takes to send a given message between any two members (that have differing clocks), we consider these to be concurrent operations since we can not (easily) prove otherwise. So this leads to a question that we hear quite frequently: "Are the contents of the near cache always synchronized with the underlying distributed cache?". It's easy to see that if an update on a cache server results in a message being sent to each near cache, and then that near cache being updated that there is a window where the contents are different. However, this is irrelevant, since even if the application reads directly from the distributed cache, another thread update the cache before the read is returned to the application. Even if no other member modifies a cache entry prior to the local near cache entry being updated (and subsequently read), the purpose of reading a cache entry is to do something with the result, usually either displaying for consumption by a human, or by updating the entry based on the current state of the entry. In the former case, it's clear that if the data is updated faster than a human can perceive, then there is no problem (and in many cases this can be relaxed even further). For the latter case, the application must assume that the value might potentially be updated before it has a chance to update it. This almost aways the case with read-only caches, and the solution is the traditional optimistic transaction pattern, which requires the application to explicitly state what assumptions it made about the old value of the cache entry. If the application doesn't want to bother stating those assumptions, it is free to lock the cache entry prior to reading it, ensuring that no other threads will mutate the entry, a pessimistic approach. The optimistic approach relies on what is sometimes called a "fuzzy read". In other words, the application assumes that the read should be correct, but it also acknowledges that it might not be. (I use the qualifier "sometimes" because in some writings, "fuzzy read" indicates the situation where the application actually sees an original value and then later sees an updated value within the same transaction -- however, both definitions are roughly equivalent from an application design perspective). If the read is not correct it is called a "stale read". Going back to the definition of concurrency, it may seem difficult to precisely define a stale read, but the practical way of detecting a stale read is that is will cause the encompassing transaction to roll back if it tries to update that value. The pessimistic approach relies on a "coherent read", a guarantee that the value returned is not only the same as the primary copy of that value, but also that it will remain that way. In most cases this can be used interchangeably with "repeatable read" (though that term has additional implications when used in the context of a database system). In none of cases above is it possible for the application to perform a "dirty read". A dirty read occurs when the application reads a piece of data that was never committed. In practice the only way this can occur is with multi-phase updates such as transactions, where a value may be temporarily update but then withdrawn when a transaction is rolled back. If another thread sees that value prior to the rollback, it is a dirty read. If an application uses optimistic transactions, dirty reads will merely result in a lack of forward progress (this is actually one of the main risks of dirty reads -- they can be chained and potentially cause cascading rollbacks). The concepts of dirty reads, fuzzy reads, stale reads and coherent reads are able to describe the vast majority of requirements that we see in the field. However, the important thing is to define the terms used to define requirements. A quick web search for each of the terms in this article will show multiple meanings, so I've selected what are generally the most common variations, but it never hurts to state each definition explicitly if they are critical to the success of a project (many applications have sufficiently loose requirements that precise terminology can be avoided).

Search Results

Search found 524 results on 21 pages for 'consumption'.

Page 18/21 | < Previous Page | 14 15 16 17 18 19 20 21 | Next Page >

- by Takeyoshi Sasaki

- by Sunrays

- by Zac B

- by DeaconDesperado

- by Damodhar

- by mbridge

- by pinaldave

- by jkauffman

- by pinaldave

- by Lewis Benge

- by Susantha Bathige

- by Christine Randle

- by Stefan Krantz

- by Chris Gardner

- by Sahil Malik

- by james.bayer

- by Tanu Sood

- by Michael Stephenson

- by Rob Young

- by nospam(at)example.com (Joerg Moellenkamp)

- by Janice J. Heiss

- by jpurdy

- by Mike Stiles

- by Herve Roggero

- by jpurdy

< Previous Page | 14 15 16 17 18 19 20 21 | Next Page >