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• JVM process resident set size "equals" max heap size, not current heap size

  - by Volune

  After a few reading about jvm memory (here, here, here, others I forgot...), I am expecting the resident set size of my java process to be roughly equal to the current heap space capacity. That's not what the numbers are saying, it seems to be roughly equal to the max heap space capacity: Resident set size: # echo 0 $(cat /proc/1/smaps | grep Rss | awk '{print $2}' | sed 's#^#+#') | bc 11507912 # ps -C java -O rss | gawk '{ count ++; sum += $2 }; END {count --; print "Number of processes =",count; print "Memory usage per process =",sum/1024/count, "MB"; print "Total memory usage =", sum/1024, "MB" ;};' Number of processes = 1 Memory usage per process = 11237.8 MB Total memory usage = 11237.8 MB Java heap # jmap -heap 1 Attaching to process ID 1, please wait... Debugger attached successfully. Server compiler detected. JVM version is 24.55-b03 using thread-local object allocation. Garbage-First (G1) GC with 18 thread(s) Heap Configuration: MinHeapFreeRatio = 10 MaxHeapFreeRatio = 20 MaxHeapSize = 10737418240 (10240.0MB) NewSize = 1363144 (1.2999954223632812MB) MaxNewSize = 17592186044415 MB OldSize = 5452592 (5.1999969482421875MB) NewRatio = 2 SurvivorRatio = 8 PermSize = 20971520 (20.0MB) MaxPermSize = 85983232 (82.0MB) G1HeapRegionSize = 2097152 (2.0MB) Heap Usage: G1 Heap: regions = 2560 capacity = 5368709120 (5120.0MB) used = 1672045416 (1594.586769104004MB) free = 3696663704 (3525.413230895996MB) 31.144272834062576% used G1 Young Generation: Eden Space: regions = 627 capacity = 3279945728 (3128.0MB) used = 1314914304 (1254.0MB) free = 1965031424 (1874.0MB) 40.089514066496164% used Survivor Space: regions = 49 capacity = 102760448 (98.0MB) used = 102760448 (98.0MB) free = 0 (0.0MB) 100.0% used G1 Old Generation: regions = 147 capacity = 1986002944 (1894.0MB) used = 252273512 (240.5867691040039MB) free = 1733729432 (1653.413230895996MB) 12.702574926293766% used Perm Generation: capacity = 39845888 (38.0MB) used = 38884120 (37.082786560058594MB) free = 961768 (0.9172134399414062MB) 97.58628042120682% used 14654 interned Strings occupying 2188928 bytes. Are my expectations wrong? What should I expect? I need the heap space to be able to grow during spikes (to avoid very slow Full GC), but I would like to have the resident set size as low as possible the rest of the time, to benefit the other processes running on the server. Is there a better way to achieve that? Linux 3.13.0-32-generic x86_64 java version "1.7.0_55" Running in Docker version 1.1.2 Java is running elasticsearch 1.2.0: /usr/bin/java -Xms5g -Xmx10g -XX:MinHeapFreeRatio=10 -XX:MaxHeapFreeRatio=20 -Xss256k -Djava.awt.headless=true -XX:+UseG1GC -XX:MaxGCPauseMillis=350 -XX:InitiatingHeapOccupancyPercent=45 -XX:+AggressiveOpts -XX:+UseCompressedOops -XX:-OmitStackTraceInFastThrow -XX:+PrintGCDetails -XX:+PrintGCTimeStamps -XX:+PrintClassHistogram -XX:+PrintTenuringDistribution -XX:+PrintGCApplicationStoppedTime -XX:+PrintGCApplicationConcurrentTime -Xloggc:/opt/elasticsearch/logs/gc.log -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/opt elasticsearch/logs/heapdump.hprof -XX:ErrorFile=/opt/elasticsearch/logs/hs_err.log -Des.logger.port=99999 -Des.logger.host=999.999.999.999 -Delasticsearch -Des.foreground=yes -Des.path.home=/opt/elasticsearch -cp :/opt/elasticsearch/lib/elasticsearch-1.2.0.jar:/opt/elasticsearch/lib/*:/opt/elasticsearch/lib/sigar/* org.elasticsearch.bootstrap.Elasticsearch There actually are 5 elasticsearch nodes, each in a different docker container. All have about the same memory usage. Some stats about the index: size: 9.71Gi (19.4Gi) docs: 3,925,398 (4,052,694)

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• Linux - Only first virtual interface can ping external gateway

  - by husvar

  I created 3 virtual interfaces with different mac addresses all linked to the same physical interface. I see that they successfully arp for the gw and they can ping (the request is coming in the packet capture in wireshark). However the ping utility does not count the responses. Does anyone knows the issue? I am running Ubuntu 14.04 in a VmWare. root@ubuntu:~# ip link sh 1: lo: <LOOPBACK,UP,LOWER_UP> mtu 65536 qdisc noqueue state UNKNOWN mode DEFAULT group default link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00 2: eth0: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc pfifo_fast state UP mode DEFAULT group default qlen 1000 link/ether 00:0c:29:bc:fc:8b brd ff:ff:ff:ff:ff:ff root@ubuntu:~# ip addr sh 1: lo: <LOOPBACK,UP,LOWER_UP> mtu 65536 qdisc noqueue state UNKNOWN group default link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00 inet 127.0.0.1/8 scope host lo valid_lft forever preferred_lft forever inet6 ::1/128 scope host valid_lft forever preferred_lft forever 2: eth0: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc pfifo_fast state UP group default qlen 1000 link/ether 00:0c:29:bc:fc:8b brd ff:ff:ff:ff:ff:ff inet6 fe80::20c:29ff:febc:fc8b/64 scope link valid_lft forever preferred_lft forever root@ubuntu:~# ip route sh root@ubuntu:~# ip link add link eth0 eth0.1 addr 00:00:00:00:00:11 type macvlan root@ubuntu:~# ip link add link eth0 eth0.2 addr 00:00:00:00:00:22 type macvlan root@ubuntu:~# ip link add link eth0 eth0.3 addr 00:00:00:00:00:33 type macvlan root@ubuntu:~# ip -4 link sh 1: lo: <LOOPBACK,UP,LOWER_UP> mtu 65536 qdisc noqueue state UNKNOWN mode DEFAULT group default link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00 2: eth0: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc pfifo_fast state UP mode DEFAULT group default qlen 1000 link/ether 00:0c:29:bc:fc:8b brd ff:ff:ff:ff:ff:ff 18: eth0.1@eth0: <BROADCAST,MULTICAST> mtu 1500 qdisc noop state DOWN mode DEFAULT group default link/ether 00:00:00:00:00:11 brd ff:ff:ff:ff:ff:ff 19: eth0.2@eth0: <BROADCAST,MULTICAST> mtu 1500 qdisc noop state DOWN mode DEFAULT group default link/ether 00:00:00:00:00:22 brd ff:ff:ff:ff:ff:ff 20: eth0.3@eth0: <BROADCAST,MULTICAST> mtu 1500 qdisc noop state DOWN mode DEFAULT group default link/ether 00:00:00:00:00:33 brd ff:ff:ff:ff:ff:ff root@ubuntu:~# ip -4 addr sh 1: lo: <LOOPBACK,UP,LOWER_UP> mtu 65536 qdisc noqueue state UNKNOWN group default inet 127.0.0.1/8 scope host lo valid_lft forever preferred_lft forever root@ubuntu:~# ip -4 route sh root@ubuntu:~# dhclient -v eth0.1 Internet Systems Consortium DHCP Client 4.2.4 Copyright 2004-2012 Internet Systems Consortium. All rights reserved. For info, please visit https://www.isc.org/software/dhcp/ Listening on LPF/eth0.1/00:00:00:00:00:11 Sending on LPF/eth0.1/00:00:00:00:00:11 Sending on Socket/fallback DHCPDISCOVER on eth0.1 to 255.255.255.255 port 67 interval 3 (xid=0x568eac05) DHCPREQUEST of 192.168.1.145 on eth0.1 to 255.255.255.255 port 67 (xid=0x568eac05) DHCPOFFER of 192.168.1.145 from 192.168.1.254 DHCPACK of 192.168.1.145 from 192.168.1.254 bound to 192.168.1.145 -- renewal in 1473 seconds. root@ubuntu:~# dhclient -v eth0.2 Internet Systems Consortium DHCP Client 4.2.4 Copyright 2004-2012 Internet Systems Consortium. All rights reserved. For info, please visit https://www.isc.org/software/dhcp/ Listening on LPF/eth0.2/00:00:00:00:00:22 Sending on LPF/eth0.2/00:00:00:00:00:22 Sending on Socket/fallback DHCPDISCOVER on eth0.2 to 255.255.255.255 port 67 interval 3 (xid=0x21e3114e) DHCPREQUEST of 192.168.1.146 on eth0.2 to 255.255.255.255 port 67 (xid=0x21e3114e) DHCPOFFER of 192.168.1.146 from 192.168.1.254 DHCPACK of 192.168.1.146 from 192.168.1.254 bound to 192.168.1.146 -- renewal in 1366 seconds. root@ubuntu:~# dhclient -v eth0.3 Internet Systems Consortium DHCP Client 4.2.4 Copyright 2004-2012 Internet Systems Consortium. All rights reserved. For info, please visit https://www.isc.org/software/dhcp/ Listening on LPF/eth0.3/00:00:00:00:00:33 Sending on LPF/eth0.3/00:00:00:00:00:33 Sending on Socket/fallback DHCPDISCOVER on eth0.3 to 255.255.255.255 port 67 interval 3 (xid=0x11dc5f03) DHCPREQUEST of 192.168.1.147 on eth0.3 to 255.255.255.255 port 67 (xid=0x11dc5f03) DHCPOFFER of 192.168.1.147 from 192.168.1.254 DHCPACK of 192.168.1.147 from 192.168.1.254 bound to 192.168.1.147 -- renewal in 1657 seconds. root@ubuntu:~# ip -4 link sh 1: lo: <LOOPBACK,UP,LOWER_UP> mtu 65536 qdisc noqueue state UNKNOWN mode DEFAULT group default link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00 2: eth0: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc pfifo_fast state UP mode DEFAULT group default qlen 1000 link/ether 00:0c:29:bc:fc:8b brd ff:ff:ff:ff:ff:ff 18: eth0.1@eth0: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc noqueue state UNKNOWN mode DEFAULT group default link/ether 00:00:00:00:00:11 brd ff:ff:ff:ff:ff:ff 19: eth0.2@eth0: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc noqueue state UNKNOWN mode DEFAULT group default link/ether 00:00:00:00:00:22 brd ff:ff:ff:ff:ff:ff 20: eth0.3@eth0: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc noqueue state UNKNOWN mode DEFAULT group default link/ether 00:00:00:00:00:33 brd ff:ff:ff:ff:ff:ff root@ubuntu:~# ip -4 addr sh 1: lo: <LOOPBACK,UP,LOWER_UP> mtu 65536 qdisc noqueue state UNKNOWN group default inet 127.0.0.1/8 scope host lo valid_lft forever preferred_lft forever 18: eth0.1@eth0: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc noqueue state UNKNOWN group default inet 192.168.1.145/24 brd 192.168.1.255 scope global eth0.1 valid_lft forever preferred_lft forever 19: eth0.2@eth0: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc noqueue state UNKNOWN group default inet 192.168.1.146/24 brd 192.168.1.255 scope global eth0.2 valid_lft forever preferred_lft forever 20: eth0.3@eth0: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc noqueue state UNKNOWN group default inet 192.168.1.147/24 brd 192.168.1.255 scope global eth0.3 valid_lft forever preferred_lft forever root@ubuntu:~# ip -4 route sh default via 192.168.1.254 dev eth0.1 192.168.1.0/24 dev eth0.1 proto kernel scope link src 192.168.1.145 192.168.1.0/24 dev eth0.2 proto kernel scope link src 192.168.1.146 192.168.1.0/24 dev eth0.3 proto kernel scope link src 192.168.1.147 root@ubuntu:~# arping -c 5 -I eth0.1 192.168.1.254 ARPING 192.168.1.254 from 192.168.1.145 eth0.1 Unicast reply from 192.168.1.254 [58:98:35:57:a0:70] 6.936ms Unicast reply from 192.168.1.254 [58:98:35:57:a0:70] 2.986ms Unicast reply from 192.168.1.254 [58:98:35:57:a0:70] 0.654ms Unicast reply from 192.168.1.254 [58:98:35:57:a0:70] 5.137ms Unicast reply from 192.168.1.254 [58:98:35:57:a0:70] 2.426ms Sent 5 probes (1 broadcast(s)) Received 5 response(s) root@ubuntu:~# arping -c 5 -I eth0.2 192.168.1.254 ARPING 192.168.1.254 from 192.168.1.146 eth0.2 Unicast reply from 192.168.1.254 [58:98:35:57:a0:70] 5.665ms Unicast reply from 192.168.1.254 [58:98:35:57:a0:70] 3.753ms Unicast reply from 192.168.1.254 [58:98:35:57:a0:70] 16.500ms Unicast reply from 192.168.1.254 [58:98:35:57:a0:70] 3.287ms Unicast reply from 192.168.1.254 [58:98:35:57:a0:70] 32.438ms Sent 5 probes (1 broadcast(s)) Received 5 response(s) root@ubuntu:~# arping -c 5 -I eth0.3 192.168.1.254 ARPING 192.168.1.254 from 192.168.1.147 eth0.3 Unicast reply from 192.168.1.254 [58:98:35:57:a0:70] 4.422ms Unicast reply from 192.168.1.254 [58:98:35:57:a0:70] 2.429ms Unicast reply from 192.168.1.254 [58:98:35:57:a0:70] 2.321ms Unicast reply from 192.168.1.254 [58:98:35:57:a0:70] 40.423ms Unicast reply from 192.168.1.254 [58:98:35:57:a0:70] 2.268ms Sent 5 probes (1 broadcast(s)) Received 5 response(s) root@ubuntu:~# tcpdump -n -i eth0.1 -v & [1] 5317 root@ubuntu:~# ping -c5 -q -I eth0.1 192.168.1.254 PING 192.168.1.254 (192.168.1.254) from 192.168.1.145 eth0.1: 56(84) bytes of data. tcpdump: listening on eth0.1, link-type EN10MB (Ethernet), capture size 65535 bytes 13:18:37.612558 IP (tos 0x0, ttl 64, id 2595, offset 0, flags [DF], proto ICMP (1), length 84) 192.168.1.145 > 192.168.1.254: ICMP echo request, id 5318, seq 2, length 64 13:18:37.618864 IP (tos 0x68, ttl 64, id 14493, offset 0, flags [none], proto ICMP (1), length 84) 192.168.1.254 > 192.168.1.145: ICMP echo reply, id 5318, seq 2, length 64 13:18:37.743650 ARP, Ethernet (len 6), IPv4 (len 4), Request who-has 192.168.1.87 tell 192.168.1.86, length 46 13:18:38.134997 IP (tos 0x0, ttl 128, id 23547, offset 0, flags [none], proto UDP (17), length 229) 192.168.1.86.138 > 192.168.1.255.138: NBT UDP PACKET(138) 13:18:38.614580 IP (tos 0x0, ttl 64, id 2596, offset 0, flags [DF], proto ICMP (1), length 84) 192.168.1.145 > 192.168.1.254: ICMP echo request, id 5318, seq 3, length 64 13:18:38.793479 IP (tos 0x68, ttl 64, id 14495, offset 0, flags [none], proto ICMP (1), length 84) 192.168.1.254 > 192.168.1.145: ICMP echo reply, id 5318, seq 3, length 64 13:18:39.151282 IP6 (class 0x68, hlim 255, next-header ICMPv6 (58) payload length: 32) fe80::5a98:35ff:fe57:e070 > ff02::1:ff6b:e9b4: [icmp6 sum ok] ICMP6, neighbor solicitation, length 32, who has 2001:818:d812:da00:8ae3:abff:fe6b:e9b4 source link-address option (1), length 8 (1): 58:98:35:57:a0:70 13:18:39.615612 IP (tos 0x0, ttl 64, id 2597, offset 0, flags [DF], proto ICMP (1), length 84) 192.168.1.145 > 192.168.1.254: ICMP echo request, id 5318, seq 4, length 64 13:18:39.746981 IP (tos 0x68, ttl 64, id 14496, offset 0, flags [none], proto ICMP (1), length 84) 192.168.1.254 > 192.168.1.145: ICMP echo reply, id 5318, seq 4, length 64 --- 192.168.1.254 ping statistics --- 5 packets transmitted, 5 received, 0% packet loss, time 4008ms rtt min/avg/max/mdev = 2.793/67.810/178.934/73.108 ms root@ubuntu:~# killall tcpdump >> /dev/null 2>&1 9 packets captured 12 packets received by filter 0 packets dropped by kernel [1]+ Done tcpdump -n -i eth0.1 -v root@ubuntu:~# tcpdump -n -i eth0.2 -v & [1] 5320 root@ubuntu:~# ping -c5 -q -I eth0.2 192.168.1.254 PING 192.168.1.254 (192.168.1.254) from 192.168.1.146 eth0.2: 56(84) bytes of data. tcpdump: listening on eth0.2, link-type EN10MB (Ethernet), capture size 65535 bytes 13:18:41.536874 ARP, Ethernet (len 6), IPv4 (len 4), Reply 192.168.1.254 is-at 58:98:35:57:a0:70, length 46 13:18:41.536933 IP (tos 0x0, ttl 64, id 2599, offset 0, flags [DF], proto ICMP (1), length 84) 192.168.1.146 > 192.168.1.254: ICMP echo request, id 5321, seq 1, length 64 13:18:41.539255 IP (tos 0x68, ttl 64, id 14507, offset 0, flags [none], proto ICMP (1), length 84) 192.168.1.254 > 192.168.1.146: ICMP echo reply, id 5321, seq 1, length 64 13:18:42.127715 ARP, Ethernet (len 6), IPv4 (len 4), Request who-has 192.168.1.87 tell 192.168.1.86, length 46 13:18:42.511725 IP (tos 0x0, ttl 64, id 2600, offset 0, flags [DF], proto ICMP (1), length 84) 192.168.1.146 > 192.168.1.254: ICMP echo request, id 5321, seq 2, length 64 13:18:42.514385 IP (tos 0x68, ttl 64, id 14527, offset 0, flags [none], proto ICMP (1), length 84) 192.168.1.254 > 192.168.1.146: ICMP echo reply, id 5321, seq 2, length 64 13:18:42.743856 ARP, Ethernet (len 6), IPv4 (len 4), Request who-has 192.168.1.87 tell 192.168.1.86, length 46 13:18:43.511727 IP (tos 0x0, ttl 64, id 2601, offset 0, flags [DF], proto ICMP (1), length 84) 192.168.1.146 > 192.168.1.254: ICMP echo request, id 5321, seq 3, length 64 13:18:43.513768 IP (tos 0x68, ttl 64, id 14528, offset 0, flags [none], proto ICMP (1), length 84) 192.168.1.254 > 192.168.1.146: ICMP echo reply, id 5321, seq 3, length 64 13:18:43.637598 IP (tos 0x0, ttl 128, id 23551, offset 0, flags [none], proto UDP (17), length 225) 192.168.1.86.17500 > 255.255.255.255.17500: UDP, length 197 13:18:43.641185 IP (tos 0x0, ttl 128, id 23552, offset 0, flags [none], proto UDP (17), length 225) 192.168.1.86.17500 > 192.168.1.255.17500: UDP, length 197 13:18:43.641201 IP (tos 0x0, ttl 128, id 23553, offset 0, flags [none], proto UDP (17), length 225) 192.168.1.86.17500 > 255.255.255.255.17500: UDP, length 197 13:18:43.743890 ARP, Ethernet (len 6), IPv4 (len 4), Request who-has 192.168.1.87 tell 192.168.1.86, length 46 13:18:44.510758 IP (tos 0x0, ttl 64, id 2602, offset 0, flags [DF], proto ICMP (1), length 84) 192.168.1.146 > 192.168.1.254: ICMP echo request, id 5321, seq 4, length 64 13:18:44.512892 IP (tos 0x68, ttl 64, id 14538, offset 0, flags [none], proto ICMP (1), length 84) 192.168.1.254 > 192.168.1.146: ICMP echo reply, id 5321, seq 4, length 64 13:18:45.510794 IP (tos 0x0, ttl 64, id 2603, offset 0, flags [DF], proto ICMP (1), length 84) 192.168.1.146 > 192.168.1.254: ICMP echo request, id 5321, seq 5, length 64 13:18:45.519701 IP (tos 0x68, ttl 64, id 14539, offset 0, flags [none], proto ICMP (1), length 84) 192.168.1.254 > 192.168.1.146: ICMP echo reply, id 5321, seq 5, length 64 13:18:49.287554 IP6 (class 0x68, hlim 255, next-header ICMPv6 (58) payload length: 32) fe80::5a98:35ff:fe57:e070 > ff02::1:ff6b:e9b4: [icmp6 sum ok] ICMP6, neighbor solicitation, length 32, who has 2001:818:d812:da00:8ae3:abff:fe6b:e9b4 source link-address option (1), length 8 (1): 58:98:35:57:a0:70 13:18:50.013463 IP (tos 0x0, ttl 255, id 50737, offset 0, flags [DF], proto UDP (17), length 73) 192.168.1.146.5353 > 224.0.0.251.5353: 0 [2q] PTR (QM)? _ipps._tcp.local. PTR (QM)? _ipp._tcp.local. (45) 13:18:50.218874 IP6 (class 0x68, hlim 255, next-header ICMPv6 (58) payload length: 32) fe80::5a98:35ff:fe57:e070 > ff02::1:ff6b:e9b4: [icmp6 sum ok] ICMP6, neighbor solicitation, length 32, who has 2001:818:d812:da00:8ae3:abff:fe6b:e9b4 source link-address option (1), length 8 (1): 58:98:35:57:a0:70 13:18:51.129961 IP6 (class 0x68, hlim 255, next-header ICMPv6 (58) payload length: 32) fe80::5a98:35ff:fe57:e070 > ff02::1:ff6b:e9b4: [icmp6 sum ok] ICMP6, neighbor solicitation, length 32, who has 2001:818:d812:da00:8ae3:abff:fe6b:e9b4 source link-address option (1), length 8 (1): 58:98:35:57:a0:70 13:18:52.197074 IP6 (hlim 255, next-header UDP (17) payload length: 53) 2001:818:d812:da00:200:ff:fe00:22.5353 > ff02::fb.5353: [udp sum ok] 0 [2q] PTR (QM)? _ipps._tcp.local. PTR (QM)? _ipp._tcp.local. (45) 13:18:54.128240 ARP, Ethernet (len 6), IPv4 (len 4), Request who-has 192.168.1.87 tell 192.168.1.86, length 46 --- 192.168.1.254 ping statistics --- 5 packets transmitted, 0 received, 100% packet loss, time 4000ms root@ubuntu:~# killall tcpdump >> /dev/null 2>&1 13:18:54.657731 IP6 (class 0x68, hlim 255, next-header ICMPv6 (58) payload length: 32) fe80::5a98:35ff:fe57:e070 > ff02::1:ff6b:e9b4: [icmp6 sum ok] ICMP6, neighbor solicitation, length 32, who has 2001:818:d812:da00:8ae3:abff:fe6b:e9b4 source link-address option (1), length 8 (1): 58:98:35:57:a0:70 13:18:54.743174 ARP, Ethernet (len 6), IPv4 (len 4), Request who-has 192.168.1.87 tell 192.168.1.86, length 46 25 packets captured 26 packets received by filter 0 packets dropped by kernel [1]+ Done tcpdump -n -i eth0.2 -v root@ubuntu:~# tcpdump -n -i eth0.3 icmp & [1] 5324 root@ubuntu:~# ping -c5 -q -I eth0.3 192.168.1.254 PING 192.168.1.254 (192.168.1.254) from 192.168.1.147 eth0.3: 56(84) bytes of data. tcpdump: verbose output suppressed, use -v or -vv for full protocol decode listening on eth0.3, link-type EN10MB (Ethernet), capture size 65535 bytes 13:18:56.373434 IP 192.168.1.147 > 192.168.1.254: ICMP echo request, id 5325, seq 1, length 64 13:18:57.372116 IP 192.168.1.147 > 192.168.1.254: ICMP echo request, id 5325, seq 2, length 64 13:18:57.381263 IP 192.168.1.254 > 192.168.1.147: ICMP echo reply, id 5325, seq 2, length 64 13:18:58.371141 IP 192.168.1.147 > 192.168.1.254: ICMP echo request, id 5325, seq 3, length 64 13:18:58.373275 IP 192.168.1.254 > 192.168.1.147: ICMP echo reply, id 5325, seq 3, length 64 13:18:59.371165 IP 192.168.1.147 > 192.168.1.254: ICMP echo request, id 5325, seq 4, length 64 13:18:59.373259 IP 192.168.1.254 > 192.168.1.147: ICMP echo reply, id 5325, seq 4, length 64 13:19:00.371211 IP 192.168.1.147 > 192.168.1.254: ICMP echo request, id 5325, seq 5, length 64 13:19:00.373278 IP 192.168.1.254 > 192.168.1.147: ICMP echo reply, id 5325, seq 5, length 64 --- 192.168.1.254 ping statistics --- 5 packets transmitted, 1 received, 80% packet loss, time 4001ms rtt min/avg/max/mdev = 13.666/13.666/13.666/0.000 ms root@ubuntu:~# killall tcpdump >> /dev/null 2>&1 9 packets captured 10 packets received by filter 0 packets dropped by kernel [1]+ Done tcpdump -n -i eth0.3 icmp root@ubuntu:~# arp -n Address HWtype HWaddress Flags Mask Iface 192.168.1.254 ether 58:98:35:57:a0:70 C eth0.1 192.168.1.254 ether 58:98:35:57:a0:70 C eth0.2 192.168.1.254 ether 58:98:35:57:a0:70 C eth0.3

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• How to make an excel formula which totals several agecent rows based on cell values

  - by Yishai

  I have an excel sheet with three columns: date, person and percentage. I would like to put in a data validation that flags cells if the total for a given data/person combination do not equal 100%. Is that possible? In other words, in the custom formula of a data validation, I would like to make the following type of formula. =if(sum( cells with a (date = the date on this row, person = person on this row))=1) Is there a function which will return the cells in a range conditioned on certain values, or will sum the cells. Note that if it is not possible to do two cells, I have no issue adding a cell which combines both values for the purpose of effecting the lookup.

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• Munin Aggregated Graphs Configuration Error

  - by Sparsh Gupta

  I tried making some Munin Aggregated graphs but somehow I am unable to make the configuration work. I think I have followed the instructions but since its not working, I would love some assistance or guidance as to what I am doing wrong. I want to Aggregate (sum) the total number of requests / second all my nginx servers are doing combined together. The configuration looks like [TRAFFIC.AGGREGATED] update no requests.graph_title nGinx requests requests.graph_vlabel nGinx requests per second requests.draw LINE2 requests.graph_args --base 1000 requests.graph_category nginx requests.label req/sec requests.type DERIVE requests.min 0 requests.graph_order output requests.output.sum \ lb1.visualwebsiteoptimizer.com:nginx_request_lb1.visualwebsiteoptimizer.com_request.request \ lb3.visualwebsiteoptimizer.com:nginx_request_lb2.visualwebsiteoptimizer.com_request.request \ lb3.visualwebsiteoptimizer.com:nginx_request_lb3.visualwebsiteoptimizer.com_request.request The munin graph I want to aggregate is http://exchange.munin-monitoring.org/plugins/nginx_request/details Thanks Sparsh Gupta

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• Finding trends in multi-category data in Excel

  - by Miral

  I have an Excel spreadsheet that contains hundreds of rows of data that each represent a single sample in a larger population. Each row is divided into three columns that contain frequency counts of a specific type of thing. Together the three columns summed on a single row represent 100%, though each row will sum to a different value. What I'm most interested in are the proportions of each of these types (ie. percentages of each column relative to the sum of the three columns). I can easily calculate this on a per-row basis, but what I'm really interested in is trying to find an overall trend from the entire population. I don't really spend much time doing data analysis so the only thing I can think of trying is to create those percentage columns and then average them, but I'm sure there must be a better way to visualise this.

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• Showing name of row instead of excel cell name

  - by Kare

  I am having extremely long formulas over an extremely big sheet. At the moment I am tracking the formulas with the Formula Auditing Tool. However, my idea would be to just replace for example in a formula like this: =IF(AND(ROUND($GX19-SUM(0)/$M$12;2)<=0;$AK$7=1);0;$M$12*$M$22/$K$62 My idea would be to replace the excel cell names with the table row names they are in. Like: =IF(AND(ROUND( "Income" -SUM(0)/ "Debt" ;2)<=0; "Percentage" =1);0; "Investment" * "Debt of house" / "Investment costs" Is there any way to achive sth. like that in excel? I appreciate your inputs!!!

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• In Excel, how to group data by date, and then do operations on the data?

  - by Bicou

  Hi, I have Excel 2003. My data is like this: 01/10/2010 0.99 02/10/2010 1.49 02/10/2010 0.99 02/10/2010 0.99 02/10/2010 0.99 03/10/2010 1.49 03/10/2010 1.49 03/10/2010 0.99 etc. In fact it is a list of sales every day. I want to have something like this: 01/10/2010 0.99 02/10/2010 4.46 03/10/2010 3.97 I want to group by date, and sum the column B. I'd like to see the evolution of the sales over time, and display a nice graph about that. I have managed to create pivot tables that almost do the job: they list the number of 0.99 and 1.49 each day, but I can't find a way to simply sum everything and group by date. Thanks for reading.

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• Automate hashing for each file in a folder?

  - by Kennie R.

  I have quite a few FTP folders, and I add a few each month and prefer to leave some sort of method of verifying their integrity, for example the files MD5SUMS, SHA256SUMS, ... which I could create using a script. Take for example: find ./ -type f -exec md5sum $1 {} \; This works fine, but when I run it each time for each shaxxx sum afterwards, it creates a sum of the MD5SUMs file which is really not wanted. Is there a simpler way, or script, or common way of hashing all the files in to their sums file without causing problems like that? I could really use a better option.

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• Point in polygon OR point on polygon using LINQ

  - by wageoghe

  As noted in an earlier question, How to Zip enumerable with itself, I am working on some math algorithms based on lists of points. I am currently working on point in polygon. I have the code for how to do that and have found several good references here on SO, such as this link Hit test. So, I can figure out whether or not a point is in a polygon. As part of determining that, I want to determine if the point is actually on the polygon. This I can also do. If I can do all of that, what is my question you might ask? Can I do it efficiently using LINQ? I can already do something like the following (assuming a Pairwise extension method as described in my earlier question as well as in links to which my question/answers links, and assuming a Position type that has X and Y members). I have not tested much, so the lambda might not be 100% correct. Also, it does not take very small differences into account. public static PointInPolygonLocation PointInPolygon(IEnumerable<Position> pts, Position pt) { int numIntersections = pts.Pairwise( (p1, p2) => { if (p1.Y != p2.Y) { if ((p1.Y >= pt.Y && p2.Y < pt.Y) || (p1.Y < pt.Y && p2.Y >= pt.Y)) { if (p1.X < p1.X && p2.X < pt.X) { return 1; } if (p1.X < pt.X || p2.X < pt.X) { if (((pt.Y - p1.Y) * ((p1.X - p2.X) / (p1.Y - p2.Y)) * p1.X) < pt.X) { return 1; } } } } return 0; }).Sum(); if (numIntersections % 2 == 0) { return PointInPolygonLocation.Outside; } else { return PointInPolygonLocation.Inside; } } This function, PointInPolygon, takes the input Position, pt, iterates over the input sequence of position values, and uses the Jordan Curve method to determine how many times a ray extended from pt to the left intersects the polygon. The lambda expression will yield, into the "zipped" list, 1 for every segment that is crossed, and 0 for the rest. The sum of these values determines if pt is inside or outside of the polygon (odd == inside, even == outside). So far, so good. Now, for any consecutive pairs of position values in the sequence (i.e. in any execution of the lambda), we can also determine if pt is ON the segment p1, p2. If that is the case, we can stop the calculation because we have our answer. Ultimately, my question is this: Can I perform this calculation (maybe using Aggregate?) such that we will only iterate over the sequence no more than 1 time AND can we stop the iteration if we encounter a segment that pt is ON? In other words, if pt is ON the very first segment, there is no need to examine the rest of the segments because we have the answer. It might very well be that this operation (particularly the requirement/desire to possibly stop the iteration early) does not really lend itself well to the LINQ approach. It just occurred to me that maybe the lambda expression could yield a tuple, the intersection value (1 or 0 or maybe true or false) and the "on" value (true or false). Maybe then I could use TakeWhile(anontype.PointOnPolygon == false). If I Sum the tuples and if ON == 1, then the point is ON the polygon. Otherwise, the oddness or evenness of the sum of the other part of the tuple tells if the point is inside or outside.

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• How to Zip one IEnumerable with itself

  - by wageoghe

  I am implementing some math algorithms based on lists of points, like Distance, Area, Centroid, etc. Just like in this post: http://stackoverflow.com/questions/2227828/find-the-distance-required-to-navigate-a-list-of-points-using-linq That post describes how to calculate the total distance of a sequence of points (taken in order) by essentially zipping the sequence "with itself", generating the sequence for Zip by offsetting the start position of the original IEnumerable by 1. So, given the Zip extension in .Net 4.0, assuming Point for the point type, and a reasonable Distance formula, you can make calls like this to generate a sequence of distances from one point to the next and then to sum the distances: var distances = points.Zip(points.Skip(1),Distance); double totalDistance = distances.Sum(); Area and Centroid calculations are similar in that they need to iterate over the sequence, processing each pair of points (points[i] and points[i+1]). I thought of making a generic IEnumerable extension suitable for implementing these (and possibly other) algorithms that operate over sequences, taking two items at a time (points[0] and points[1], points[1] and points[2], ..., points[n-1] and points[n] (or is it n-2 and n-1 ...) and applying a function. My generic iterator would have a similar signature to Zip, but it would not receive a second sequence to zip with as it is really just going to zip with itself. My first try looks like this: public static IEnumerable<TResult> ZipMyself<TSequence, TResult>(this IEnumerable<TSequence> seq, Func<TSequence, TSequence, TResult> resultSelector) { return seq.Zip(seq.Skip(1),resultSelector); } With my generic iterator in place, I can write functions like this: public static double Length(this IEnumerable<Point> points) { return points.ZipMyself(Distance).Sum(); } and call it like this: double d = points.Length(); and double GreensTheorem(Point p1, Point p1) { return p1.X * p2.Y - p1.Y * p2.X; } public static double SignedArea(this IEnumerable<Point> points) { return points.ZipMyself(GreensTheorem).Sum() / 2.0 } public static double Area(this IEnumerable<Point> points) { return Math.Abs(points.SignedArea()); } public static bool IsClockwise(this IEnumerable<Point> points) { return SignedArea(points) < 0; } and call them like this: double a = points.Area(); bool isClockwise = points.IsClockwise(); In this case, is there any reason NOT to implement "ZipMyself" in terms of Zip and Skip(1)? Is there already something in LINQ that automates this (zipping a list with itself) - not that it needs to be made that much easier ;-) Also, is there better name for the extension that might reflect that it is a well-known pattern (if, indeed it is a well-known pattern)? Had a link here for a StackOverflow question about area calculation. It is question 2432428. Also had a link to Wikipedia article on Centroid. Just go to Wikipedia and search for Centroid if interested. Just starting out, so don't have enough rep to post more than one link,

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• Matlab: Optimization by perturbing variable

  - by S_H

  My main script contains following code: %# Grid and model parameters nModel=50; nModel_want=1; nI_grid1=5; Nth=1; nRow.Scale1=5; nCol.Scale1=5; nRow.Scale2=5^2; nCol.Scale2=5^2; theta = 90; % degrees a_minor = 2; % range along minor direction a_major = 5; % range along major direction sill = var(reshape(Deff_matrix_NthModel,nCell.Scale1,1)); % variance of the coarse data matrix of size nRow.Scale1 X nCol.Scale1 %# Covariance computation % Scale 1 for ihRow = 1:nRow.Scale1 for ihCol = 1:nCol.Scale1 [cov.Scale1(ihRow,ihCol),heff.Scale1(ihRow,ihCol)] = general_CovModel(theta, ihCol, ihRow, a_minor, a_major, sill, 'Exp'); end end % Scale 2 for ihRow = 1:nRow.Scale2 for ihCol = 1:nCol.Scale2 [cov.Scale2(ihRow,ihCol),heff.Scale2(ihRow,ihCol)] = general_CovModel(theta, ihCol/(nCol.Scale2/nCol.Scale1), ihRow/(nRow.Scale2/nRow.Scale1), a_minor, a_major, sill/(nRow.Scale2*nCol.Scale2), 'Exp'); end end %# Scale-up of fine scale values by averaging [covAvg.Scale2,var_covAvg.Scale2,varNorm_covAvg.Scale2] = general_AverageProperty(nRow.Scale2/nRow.Scale1,nCol.Scale2/nCol.Scale1,1,nRow.Scale1,nCol.Scale1,1,cov.Scale2,1); I am using two functions, general_CovModel() and general_AverageProperty(), in my main script which are given as following: function [cov,h_eff] = general_CovModel(theta, hx, hy, a_minor, a_major, sill, mod_type) % mod_type should be in strings angle_rad = theta*(pi/180); % theta in degrees, angle_rad in radians R_theta = [sin(angle_rad) cos(angle_rad); -cos(angle_rad) sin(angle_rad)]; h = [hx; hy]; lambda = a_minor/a_major; D_lambda = [lambda 0; 0 1]; h_2prime = D_lambda*R_theta*h; h_eff = sqrt((h_2prime(1)^2)+(h_2prime(2)^2)); if strcmp(mod_type,'Sph')==1 || strcmp(mod_type,'sph') ==1 if h_eff<=a cov = sill - sill.*(1.5*(h_eff/a_minor)-0.5*((h_eff/a_minor)^3)); else cov = sill; end elseif strcmp(mod_type,'Exp')==1 || strcmp(mod_type,'exp') ==1 cov = sill-(sill.*(1-exp(-(3*h_eff)/a_minor))); elseif strcmp(mod_type,'Gauss')==1 || strcmp(mod_type,'gauss') ==1 cov = sill-(sill.*(1-exp(-((3*h_eff)^2/(a_minor^2))))); end and function [PropertyAvg,variance_PropertyAvg,NormVariance_PropertyAvg]=... general_AverageProperty(blocksize_row,blocksize_col,blocksize_t,... nUpscaledRow,nUpscaledCol,nUpscaledT,PropertyArray,omega) % This function computes average of a property and variance of that averaged % property using power averaging PropertyAvg=zeros(nUpscaledRow,nUpscaledCol,nUpscaledT); %# Average of property for k=1:nUpscaledT, for j=1:nUpscaledCol, for i=1:nUpscaledRow, sum=0; for a=1:blocksize_row, for b=1:blocksize_col, for c=1:blocksize_t, sum=sum+(PropertyArray((i-1)*blocksize_row+a,(j-1)*blocksize_col+b,(k-1)*blocksize_t+c).^omega); % add all the property values in 'blocksize_x','blocksize_y','blocksize_t' to one variable end end end PropertyAvg(i,j,k)=(sum/(blocksize_row*blocksize_col*blocksize_t)).^(1/omega); % take average of the summed property end end end %# Variance of averageed property variance_PropertyAvg=var(reshape(PropertyAvg,... nUpscaledRow*nUpscaledCol*nUpscaledT,1),1,1); %# Normalized variance of averageed property NormVariance_PropertyAvg=variance_PropertyAvg./(var(reshape(... PropertyArray,numel(PropertyArray),1),1,1)); Question: Using Matlab, I would like to optimize covAvg.Scale2 such that it matches closely with cov.Scale1 by perturbing/varying any (or all) of the following variables 1) a_minor 2) a_major 3) theta Thanks.

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• Implementing a popularity algorithm in Django

  - by TheLizardKing

  I am creating a site similar to reddit and hacker news that has a database of links and votes. I am implementing hacker news' popularity algorithm and things are going pretty swimmingly until it comes to actually gathering up these links and displaying them. The algorithm is simple: Y Combinator's Hacker News: Popularity = (p - 1) / (t + 2)^1.5` Votes divided by age factor. Where` p : votes (points) from users. t : time since submission in hours. p is subtracted by 1 to negate submitter's vote. Age factor is (time since submission in hours plus two) to the power of 1.5.factor is (time since submission in hours plus two) to the power of 1.5. I asked a very similar question over yonder http://stackoverflow.com/questions/1964395/complex-ordering-in-django but instead of contemplating my options I choose one and tried to make it work because that's how I did it with PHP/MySQL but I now know Django does things a lot differently. My models look something (exactly) like this class Link(models.Model): category = models.ForeignKey(Category) user = models.ForeignKey(User) created = models.DateTimeField(auto_now_add = True) modified = models.DateTimeField(auto_now = True) fame = models.PositiveIntegerField(default = 1) title = models.CharField(max_length = 256) url = models.URLField(max_length = 2048) def __unicode__(self): return self.title class Vote(models.Model): link = models.ForeignKey(Link) user = models.ForeignKey(User) created = models.DateTimeField(auto_now_add = True) modified = models.DateTimeField(auto_now = True) karma_delta = models.SmallIntegerField() def __unicode__(self): return str(self.karma_delta) and my view: def index(request): popular_links = Link.objects.select_related().annotate(karma_total = Sum('vote__karma_delta')) return render_to_response('links/index.html', {'links': popular_links}) Now from my previous question, I am trying to implement the algorithm using the sorting function. An answer from that question seems to think I should put the algorithm in the select and sort then. I am going to paginate these results so I don't think I can do the sorting in python without grabbing everything. Any suggestions on how I could efficiently do this? EDIT This isn't working yet but I think it's a step in the right direction: from django.shortcuts import render_to_response from linkett.apps.links.models import * def index(request): popular_links = Link.objects.select_related() popular_links = popular_links.extra( select = { 'karma_total': 'SUM(vote.karma_delta)', 'popularity': '(karma_total - 1) / POW(2, 1.5)', }, order_by = ['-popularity'] ) return render_to_response('links/index.html', {'links': popular_links}) This errors out into: Caught an exception while rendering: column "karma_total" does not exist LINE 1: SELECT ((karma_total - 1) / POW(2, 1.5)) AS "popularity", (S... EDIT 2 Better error? TemplateSyntaxError: Caught an exception while rendering: missing FROM-clause entry for table "vote" LINE 1: SELECT ((vote.karma_total - 1) / POW(2, 1.5)) AS "popularity... My index.html is simply: {% block content %} {% for link in links %} karma-up {{ link.karma_total }} karma-down {{ link.title }} Posted by {{ link.user }} to {{ link.category }} at {{ link.created }} {% empty %} No Links {% endfor %} {% endblock content %} EDIT 3 So very close! Again, all these answers are great but I am concentrating on a particular one because I feel it works best for my situation. from django.db.models import Sum from django.shortcuts import render_to_response from linkett.apps.links.models import * def index(request): popular_links = Link.objects.select_related().extra( select = { 'popularity': '(SUM(links_vote.karma_delta) - 1) / POW(2, 1.5)', }, tables = ['links_link', 'links_vote'], order_by = ['-popularity'], ) return render_to_response('links/test.html', {'links': popular_links}) Running this I am presented with an error hating on my lack of group by values. Specifically: TemplateSyntaxError at / Caught an exception while rendering: column "links_link.id" must appear in the GROUP BY clause or be used in an aggregate function LINE 1: ...karma_delta) - 1) / POW(2, 1.5)) AS "popularity", "links_lin... Not sure why my links_link.id wouldn't be in my group by but I am not sure how to alter my group by, django usually does that.

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• iPhone: Repeating Rows in Each Section of Grouped UITableview

  - by Rank Beginner

  I'm trying to learn how to use the UITableView in conjunction with a SQLite back end. My issue is that I've gotten the table to populate with the records from the database, however I'm having a problem with the section titles. I am not able to figure out the proper set up for this, and I'm repeating all tasks under each section. The table looks like this. The groups field is where I'm trying to pull the section title from. TaskID groups TaskName sched lastCompleted nextCompleted success 1 Household laundry 3 03/19/2010 03/22/2010 y 1 Automotive Change oil 3 03/20/2010 03/23/2010 y In my viewDidLoad Method, I create an array from each column in the table like below. //Create and initialize arrays from table columns //______________________________________________________________________________________ ids =[[NSMutableArray alloc] init]; tasks =[[NSMutableArray alloc] init]; sched =[[NSMutableArray alloc] init]; lastComplete =[[NSMutableArray alloc] init]; nextComplete =[[NSMutableArray alloc] init]; weight =[[NSMutableArray alloc] init]; success =[[NSMutableArray alloc] init]; group =[[NSMutableArray alloc] init]; // Bind them to the data //______________________________________________________________________________________ NSString *query = [NSString stringWithFormat:@"SELECT * FROM Tasks ORDER BY nextComplete "]; sqlite3_stmt *statement; if (sqlite3_prepare_v2( database, [query UTF8String], -1, &statement, nil) == SQLITE_OK) { while (sqlite3_step(statement) == SQLITE_ROW) { [ids addObject:[NSString stringWithFormat:@"%i",(int*) sqlite3_column_int(statement, 0)]]; [group addObject:[NSString stringWithFormat:@"%s",(char*) sqlite3_column_text(statement, 1)]]; [tasks addObject:[NSString stringWithFormat:@"%s",(char*) sqlite3_column_text(statement, 2)]]; [sched addObject:[NSString stringWithFormat:@"%i",(int*) sqlite3_column_int(statement, 3)]]; [lastComplete addObject:[NSString stringWithFormat:@"%s",(char*) sqlite3_column_text(statement, 4)]]; [nextComplete addObject:[NSString stringWithFormat:@"%s",(char*) sqlite3_column_text(statement, 5)]]; [success addObject:[NSString stringWithFormat:@"%s",(char*) sqlite3_column_text(statement, 6)]]; [weight addObject:[NSString stringWithFormat:@"%i",(int*) sqlite3_column_int(statement, 7)]]; } sqlite3_finalize(statement); } In the table method:cellForRowAtIndexPath, I create controls on the fly and set their text properties to objects in the array. Below is a sample, I can provide more but am already working on a book here... :) /create the task label NSString *tmpMessage; tmpMessage = [NSString stringWithFormat:@"%@ every %@ days, for %@ points",[tasks objectAtIndex:indexPath.row],[sched objectAtIndex:indexPath.row],[weight objectAtIndex:indexPath.row]]; CGRect schedLabelRect = CGRectMake(0, 0, 250, 15); UILabel *lblSched = [[UILabel alloc] initWithFrame:schedLabelRect]; lblSched.textAlignment = UITextAlignmentLeft; lblSched.text = tmpMessage; lblSched.font = [UIFont boldSystemFontOfSize:10]; [cell.contentView addSubview: lblSched]; [lblSched release]; My numberOfSectionsInTableView method looks like this // Figure out how many sections there are by a distinct count of the groups field // The groups are entered by user when creating tasks //______________________________________________________________________________________ NSString *groupquery = [NSString stringWithFormat:@"SELECT COUNT(DISTINCT groups) as Sum FROM Tasks"]; int sum; sqlite3_stmt *statement; if (sqlite3_prepare_v2( database, [groupquery UTF8String], -1, &statement, nil) == SQLITE_OK) { while (sqlite3_step(statement) == SQLITE_ROW) { sum = sqlite3_column_int(statement, 0); } sqlite3_finalize(statement); } if (sum=0) { return 1; } return 2; } I know I'm going wrong here but this is all that's in my numberOfRowsInSection method return [ids count];

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• Covariance and Contravariance in C#

  - by edalorzo

  I will start by saying that I am Java developer learning to program in C#. As such I do comparisons of what I know with what I am learning. I have been playing with C# generics for a few hours now, and I have been able to reproduce the same things I know in Java in C#, with the exception of a couple of examples using covariance and contravariance. The book I am reading is not very good in the subject. I will certainly seek more info on the web, but while I do that, perhaps you can help me find a C# implementation for the following Java code. An example is worth a thousand words, and I was hoping that by looking a good code sample I will be able to assimilate this more rapidly. Covariance In Java I can do something like this: public static double sum(List<? extends Number> numbers) { double summation = 0.0; for(Number number : numbers){ summation += number.doubleValue(); } return summation; } I can use this code as follows: List<Integer> myInts = asList(1,2,3,4,5); List<Double> myDoubles = asList(3.14, 5.5, 78.9); List<Long> myLongs = asList(1L, 2L, 3L); double result = 0.0; result = sum(myInts); result = sum(myDoubles) result = sum(myLongs); Now I did discover that C# supports covariance/contravariance only on interfaces and as long as they have been explicitly declared to do so (out). I think I was not able to reproduce this case, because I could not find a common ancestor of all numbers, but I believe that I could have used IEnumerable to implement such thing if a common ancestor exists. Since IEnumerable is a covariant type. Right? Any thoughts on how to implement the list above? Just point me into the right direction. Is there any common ancestor of all numeric types? Contravariance The contravariance example I tried was the following. In Java I can do this to copy one list into another. public static void copy(List<? extends Number> source, List<? super Number> destiny){ for(Number number : source) { destiny.add(number); } } Then I could use it with contravariant types as follows: List<Object> anything = new ArrayList<Object>(); List<Integer> myInts = asList(1,2,3,4,5); copy(myInts, anything); My basic problem, trying to implement this in C# is that I could not find an interface that was both covariant and contravariant at the same time, as it is case of List in my example above. Maybe it can be done with two different interface in C#. Any thoughts on how to implement this? Thank you very much to everyone for any answers you can contribute. I am pretty sure I will learn a lot from any example you can provide.

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• sql perfomance on new server

  - by Rapunzo

  My database is running on a pc (AMD Phenom x6, intel ssd disk, 8GB DDR3 RAM and windows 7 OS + sql server 2008 R2 sp3 ) and it started working hard, timeout problems and up to 30 seconds long queries after 200 mb of database And I also have an old server pc (IBM x-series 266: 72*3 15k rpm scsi discs with raid5, 4 gb ram and windows server 2003 + sql server 2008 R2 sp3 ) and same query start to give results in 100 seconds.. I tried query analyser tool for tuning my indexed. but not so much improvements. its a big dissapointment for me. because I thought even its an old server pc it should be more powerfull with 15k rpm discs with raid5. what should I do. do I need $10.000 new server to get a good performance for my sql server? cant I use that IBM server? Extra information: there is 50 sql users and its an ERP program. There is my query ALTER FUNCTION [dbo].[fnDispoTerbiye] ( ) RETURNS TABLE AS RETURN ( SELECT MD.dispoNo, SV.sevkNo, M1.musteriAdi AS musteri, SD.tipTurId, TT.tipTur, SD.tipNo, SD.desenNo, SD.varyantNo, SUM(T.topMetre) AS toplamSevkMetre, MD.dispoMetresi, DT.gelisMetresi, ISNULL(DT.fire, 0) AS fire, SV.sevkTarihi, DT.gelisTarihi, SP.mamulTermin, SD.miktar AS siparisMiktari, M.musteriAdi AS boyahane, MD.akisNotu AS islemler, --dbo.fnAkisIslemleri(MD.dispoNo) DT.partiNo, DT.iplikBoyaId, B.tanimAd AS BoyaTuru, MAX(HD.hamEn) AS hamEn, MAX(HD.hamGramaj) AS hamGramaj, TS.mamulEn, TS.mamulGramaj, DT.atkiCekmesi, DT.cozguCekmesi, DT.fiyat, DV.dovizCins, DT.dovizId, (SELECT CASE WHEN DT.dovizId = 2 THEN CAST(round(SUM(T .topMetre) * DT.fiyat * (SELECT TOP 1 satis FROM tblKur WHERE dovizId = 2 ORDER BY tarih DESC), 2) AS numeric(18, 2)) WHEN DT.dovizId = 3 THEN CAST(round(SUM(T .topMetre) * DT.fiyat * (SELECT TOP 1 satis FROM tblKur WHERE dovizId = 3 ORDER BY tarih DESC), 2) AS numeric(18, 2)) WHEN DT.dovizId = 1 THEN CAST(round(SUM(T .topMetre) * DT.fiyat * (SELECT TOP 1 satis FROM tblKur WHERE dovizId = 1 ORDER BY tarih DESC), 2) AS numeric(18, 2)) END AS Expr1) AS ToplamTLfiyat, DT.aciklama, MD.dispoNotu, SD.siparisId, SD.siparisDetayId, DT.sqlUserName, DT.kayitTarihi, O.orguAd, 'Çözgü=(' + (SELECT dbo.fnTipIplikler(SD.tipTurId, SD.tipNo, SD.desenNo, SD.varyantNo, 1) AS Expr1) + ')' + ' Atki=(' + (SELECT dbo.fnTipIplikler(SD.tipTurId, SD.tipNo, SD.desenNo, SD.varyantNo, 2) AS Expr1) + ')' AS iplikAciklama, DT.prosesOk, dbo.[fnYikamaTalimat](SP.siparisId) yikamaTalimati FROM tblDoviz AS DV WITH(NOLOCK) INNER JOIN tblDispoTerbiye AS DT WITH(NOLOCK) INNER JOIN tblTanimlar AS B WITH(NOLOCK) ON DT.iplikBoyaId = B.tanimId AND B.tanimTurId = 2 ON DV.id = DT.dovizId RIGHT OUTER JOIN tblMusteri AS M1 WITH(NOLOCK) INNER JOIN tblSiparisDetay AS SD WITH(NOLOCK) INNER JOIN tblDispo AS MD WITH(NOLOCK) ON SD.siparisDetayId = MD.siparisDetayId INNER JOIN tblTipTur AS TT WITH(NOLOCK) ON SD.tipTurId = TT.tipTurId INNER JOIN tblSiparis AS SP WITH(NOLOCK) ON SD.siparisId = SP.siparisId ON M1.musteriNo = SP.musteriNo INNER JOIN tblTip AS TP WITH(NOLOCK) ON SD.tipTurId = TP.tipTurId AND SD.tipNo = TP.tipNo AND SD.desenNo = TP.desen AND SD.varyantNo = TP.varyant INNER JOIN tblOrgu AS O WITH(NOLOCK) ON TP.orguId = O.orguId INNER JOIN tblMusteri AS M WITH(NOLOCK) INNER JOIN tblSevkiyat AS SV WITH(NOLOCK) ON M.musteriNo = SV.musteriNo INNER JOIN tblSevkDetay AS SVD WITH(NOLOCK) ON SV.sevkNo = SVD.sevkNo ON MD.mamulDispoHamSevkno = SV.sevkNo LEFT OUTER JOIN tblTop AS T WITH(NOLOCK) INNER JOIN tblDispo AS HD WITH(NOLOCK) ON T.dispoNo = HD.dispoNo AND T.dispoTuruId = HD.dispoTuruId ON SVD.dispoTuruId = T.dispoTuruId AND SVD.dispoNo = T.dispoNo AND SVD.topNo = T.topNo AND MD.siparisDetayId = HD.siparisDetayId ON DT.dispoTuruId = MD.dispoTuruId AND DT.dispoNo = MD.dispoNo LEFT OUTER JOIN tblDispoTerbiyeTest AS TS WITH(NOLOCK) ON DT.dispoTuruId = TS.dispoTuruId AND DT.dispoNo = TS.dispoNo --WHERE DT.gelisTarihi IS NULL -- OR DT.gelisTarihi > GETDATE()-30 GROUP BY MD.dispoNo, DT.partiNo, DT.iplikBoyaId, TS.mamulEn, TS.mamulGramaj, DT.gelisMetresi, DT.gelisTarihi, DT.atkiCekmesi, DT.cozguCekmesi, DT.fire, DT.fiyat, DT.aciklama, DT.sqlUserName, DT.kayitTarihi, SD.tipTurId, TT.tipTur, SD.tipNo, SD.desenNo, SD.varyantNo, SD.siparisId, SD.siparisDetayId, B.tanimAd, M.musteriAdi, M.musteriAdi, M1.musteriAdi, O.orguAd, TP.iplikAciklama, SD.miktar, MD.dispoNotu, SP.mamulTermin, DT.dovizId, DV.dovizCins, MD.dispoMetresi, MD.akisNotu, SV.sevkNo, SV.sevkTarihi, DT.prosesOk,SP.siparisId )

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• Java code optimization leads to numerical inaccuracies and errors

  - by rano

  I'm trying to implement a version of the Fuzzy C-Means algorithm in Java and I'm trying to do some optimization by computing just once everything that can be computed just once. This is an iterative algorithm and regarding the updating of a matrix, the clusters x pixels membership matrix U, this is the update rule I want to optimize: where the x are the element of a matrix X (pixels x features) and v belongs to the matrix V (clusters x features). And m is a parameter that ranges from 1.1 to infinity. The distance used is the euclidean norm. If I had to implement this formula in a banal way I'd do: for(int i = 0; i < X.length; i++) { int count = 0; for(int j = 0; j < V.length; j++) { double num = D[i][j]; double sumTerms = 0; for(int k = 0; k < V.length; k++) { double thisDistance = D[i][k]; sumTerms += Math.pow(num / thisDistance, (1.0 / (m - 1.0))); } U[i][j] = (float) (1f / sumTerms); } } In this way some optimization is already done, I precomputed all the possible squared distances between X and V and stored them in a matrix D but that is not enough, since I'm cycling througn the elements of V two times resulting in two nested loops. Looking at the formula the numerator of the fraction is independent of the sum so I can compute numerator and denominator independently and the denominator can be computed just once for each pixel. So I came to a solution like this: int nClusters = V.length; double exp = (1.0 / (m - 1.0)); for(int i = 0; i < X.length; i++) { int count = 0; for(int j = 0; j < nClusters; j++) { double distance = D[i][j]; double denominator = D[i][nClusters]; double numerator = Math.pow(distance, exp); U[i][j] = (float) (1f / (numerator * denominator)); } } Where I precomputed the denominator into an additional column of the matrix D while I was computing the distances: for (int i = 0; i < X.length; i++) { for (int j = 0; j < V.length; j++) { double sum = 0; for (int k = 0; k < nDims; k++) { final double d = X[i][k] - V[j][k]; sum += d * d; } D[i][j] = sum; D[i][B.length] += Math.pow(1 / D[i][j], exp); } } By doing so I encounter numerical differences between the 'banal' computation and the second one that leads to different numerical value in U (not in the first iterates but soon enough). I guess that the problem is that exponentiate very small numbers to high values (the elements of U can range from 0.0 to 1.0 and exp , for m = 1.1, is 10) leads to ver y small values, whereas by dividing the numerator and the denominator and THEN exponentiating the result seems to be better numerically. The problem is it involves much more operations. Am I doing something wrong? Is there a possible solution to get both the code optimized and numerically stable? Any suggestion or criticism will be appreciated.

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• Nested loop traversing arrays

  - by alecco

  There are 2 very big series of elements, the second 100 times bigger than the first. For each element of the first series, there are 0 or more elements on the second series. This can be traversed and processed with 2 nested loops. But the unpredictability of the amount of matching elements for each member of the first array makes things very, very slow. The actual processing of the 2nd series of elements involves logical and (&) and a population count. I couldn't find good optimizations using C but I am considering doing inline asm, doing rep* mov* or similar for each element of the first series and then doing the batch processing of the matching bytes of the second series, perhaps in buffers of 1MB or something. But the code would be get quite messy. Does anybody know of a better way? C preferred but x86 ASM OK too. Many thanks! Sample/demo code with simplified problem, first series are "people" and second series are "events", for clarity's sake. (the original problem is actually 100m and 10,000m entries!) #include <stdio.h> #include <stdint.h> #define PEOPLE 1000000 // 1m struct Person { uint8_t age; // Filtering condition uint8_t cnt; // Number of events for this person in E } P[PEOPLE]; // Each has 0 or more bytes with bit flags #define EVENTS 100000000 // 100m uint8_t P1[EVENTS]; // Property 1 flags uint8_t P2[EVENTS]; // Property 2 flags void init_arrays() { for (int i = 0; i < PEOPLE; i++) { // just some stuff P[i].age = i & 0x07; P[i].cnt = i % 220; // assert( sum < EVENTS ); } for (int i = 0; i < EVENTS; i++) { P1[i] = i % 7; // just some stuff P2[i] = i % 9; // just some other stuff } } int main(int argc, char *argv[]) { uint64_t sum = 0, fcur = 0; int age_filter = 7; // just some init_arrays(); // Init P, P1, P2 for (int64_t p = 0; p < PEOPLE ; p++) if (P[p].age < age_filter) for (int64_t e = 0; e < P[p].cnt ; e++, fcur++) sum += __builtin_popcount( P1[fcur] & P2[fcur] ); else fcur += P[p].cnt; // skip this person's events printf("(dummy %ld %ld)\n", sum, fcur ); return 0; } gcc -O5 -march=native -std=c99 test.c -o test

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• SQL SERVER – Get All the Information of Database using sys.databases

  - by pinaldave

  Earlier I wrote blog article SQL SERVER – Finding Last Backup Time for All Database. In the response of this article I have received very interesting script from SQL Server Expert Matteo as a comment in the blog. He has written script using sys.databases which provides plenty of the information about database. I suggest you can run this on your database and know unknown of your databases as well. SELECT database_id, CONVERT(VARCHAR(25), DB.name) AS dbName, CONVERT(VARCHAR(10), DATABASEPROPERTYEX(name, 'status')) AS [Status], state_desc, (SELECT COUNT(1) FROM sys.master_files WHERE DB_NAME(database_id) = DB.name AND type_desc = 'rows') AS DataFiles, (SELECT SUM((size*8)/1024) FROM sys.master_files WHERE DB_NAME(database_id) = DB.name AND type_desc = 'rows') AS [Data MB], (SELECT COUNT(1) FROM sys.master_files WHERE DB_NAME(database_id) = DB.name AND type_desc = 'log') AS LogFiles, (SELECT SUM((size*8)/1024) FROM sys.master_files WHERE DB_NAME(database_id) = DB.name AND type_desc = 'log') AS [Log MB], user_access_desc AS [User access], recovery_model_desc AS [Recovery model], CASE compatibility_level WHEN 60 THEN '60 (SQL Server 6.0)' WHEN 65 THEN '65 (SQL Server 6.5)' WHEN 70 THEN '70 (SQL Server 7.0)' WHEN 80 THEN '80 (SQL Server 2000)' WHEN 90 THEN '90 (SQL Server 2005)' WHEN 100 THEN '100 (SQL Server 2008)' END AS [compatibility level], CONVERT(VARCHAR(20), create_date, 103) + ' ' + CONVERT(VARCHAR(20), create_date, 108) AS [Creation date], -- last backup ISNULL((SELECT TOP 1 CASE TYPE WHEN 'D' THEN 'Full' WHEN 'I' THEN 'Differential' WHEN 'L' THEN 'Transaction log' END + ' – ' + LTRIM(ISNULL(STR(ABS(DATEDIFF(DAY, GETDATE(),Backup_finish_date))) + ' days ago', 'NEVER')) + ' – ' + CONVERT(VARCHAR(20), backup_start_date, 103) + ' ' + CONVERT(VARCHAR(20), backup_start_date, 108) + ' – ' + CONVERT(VARCHAR(20), backup_finish_date, 103) + ' ' + CONVERT(VARCHAR(20), backup_finish_date, 108) + ' (' + CAST(DATEDIFF(second, BK.backup_start_date, BK.backup_finish_date) AS VARCHAR(4)) + ' ' + 'seconds)' FROM msdb..backupset BK WHERE BK.database_name = DB.name ORDER BY backup_set_id DESC),'-') AS [Last backup], CASE WHEN is_fulltext_enabled = 1 THEN 'Fulltext enabled' ELSE '' END AS [fulltext], CASE WHEN is_auto_close_on = 1 THEN 'autoclose' ELSE '' END AS [autoclose], page_verify_option_desc AS [page verify option], CASE WHEN is_read_only = 1 THEN 'read only' ELSE '' END AS [read only], CASE WHEN is_auto_shrink_on = 1 THEN 'autoshrink' ELSE '' END AS [autoshrink], CASE WHEN is_auto_create_stats_on = 1 THEN 'auto create statistics' ELSE '' END AS [auto create statistics], CASE WHEN is_auto_update_stats_on = 1 THEN 'auto update statistics' ELSE '' END AS [auto update statistics], CASE WHEN is_in_standby = 1 THEN 'standby' ELSE '' END AS [standby], CASE WHEN is_cleanly_shutdown = 1 THEN 'cleanly shutdown' ELSE '' END AS [cleanly shutdown] FROM sys.databases DB ORDER BY dbName, [Last backup] DESC, NAME Please let me know if you find this information useful. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, Readers Contribution, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology

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• Including Overestimates in MSF Agile Burndown Report

  After using the MSF Agile Burndown report for a few weeks in our new TFS 2010 environment, I have to say I am a huge fan.  I especially find the assignment of Work (hours) portion to be very useful in motivating the team to keep their tasks up to date every day.  Here is a view of the report that you get out of the box. However, I have one problem.  Id like the top line to have some more meaning.  Specifically, when it is changing is that an indication of scope creep, mis-estimation or a combination of the two.  So, today I decided to try to build in a view that would show overestimated time.  This would give me a more consistent top line.  My idea was to add another visual area on top of the graph whenever my originally estimated time was greater than the sum of completed and remaining.  This will effectively show me at least when the top line goes down whether it was scope change or over-estimation. Here is the final result. How did I do it?  Step 1: Add Cumulative_Original_Estimate field to the dsBurndown My approach was to follow the pattern where the completed time is included in the burndown chart and add my Overestimated hours.  First I added a field to the dsBurndown to hold the estimated time.         <Field Name="Cumulative_Original_Estimate">           <DataField><?xml version="1.0" encoding="utf-8"?><Field xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema" xsi:type="Measure" UniqueName="[Measures].[Microsoft_VSTS_Scheduling_OriginalEstimate]" /></DataField>           <rd:TypeName>System.Int32</rd:TypeName>         </Field> Step 2: Add a column to the query SELECT {     [Measures].[DateValue],     [Measures].[Work Item Count],     [Measures].[Microsoft_VSTS_Scheduling_RemainingWork],     [Measures].[Microsoft_VSTS_Scheduling_CompletedWork],     [Measures].[Microsoft_VSTS_Scheduling_OriginalEstimate],     [Measures].[RemainingWorkLine],     [Measures].[CountLine] Step 3: Add a new Item to the QueryDefinition <Item> <ID xsi:type="Measure"> <MeasureName>Microsoft_VSTS_Scheduling_OriginalEstimate</MeasureName> <UniqueName>[Measures].[Microsoft_VSTS_Scheduling_OriginalEstimate]</UniqueName> </ID> <ItemCaption>Cumulative Original Estimate</ItemCaption> <FormattedValue>true</FormattedValue> </Item> Step 4: Add a new ChartMember to DundasChartControl1 The burndown chart is called DundasChartControl1.  I need to add a ChartMember for the estimated time. <ChartMember>   <Label>Cumulative Original Estimate</Label> </ChartMember> Step 5: Add a ChartSeries to show the Overestimated Time <ChartSeries Name="OriginalEstimate">   <Hidden>=IIF(Parameters!YAxis.Value="count",True,False)</Hidden>   <ChartDataPoints>     <ChartDataPoint>       <ChartDataPointValues>         <Y>=IIF(Parameters!YAxis.Value = "hours", IIF(SUM(Fields!Cumulative_Original_Estimate.Value)>SUM(Fields!Cumulative_Completed_Work.Value+Fields!Cumulative_Remaining_Work.Value), SUM(Fields!Cumulative_Original_Estimate.Value-(Fields!Cumulative_Completed_Work.Value+Fields!Cumulative_Remaining_Work.Value)),Nothing),Nothing)</Y>       </ChartDataPointValues>       <ChartDataLabel>         <Style>           <FontFamily>Microsoft Sans Serif</FontFamily>           <FontSize>8pt</FontSize>         </Style>       </ChartDataLabel>       <Style>         <Border>           <Color>#9bdb00</Color>           <Width>0.75pt</Width>         </Border>         <Color>#666666</Color>         <BackgroundGradientEndColor>#666666</BackgroundGradientEndColor>       </Style>       <ChartMarker>         <Style />       </ChartMarker>       <CustomProperties>         <CustomProperty>           <Name>LabelStyle</Name>           <Value>Top</Value>         </CustomProperty>       </CustomProperties>     </ChartDataPoint>   </ChartDataPoints>   <Type>Area</Type>   <Subtype>Stacked</Subtype>   <Style />   <ChartEmptyPoints>     <Style>       <Color>#00ffffff</Color>     </Style>     <ChartMarker>       <Style />     </ChartMarker>     <ChartDataLabel>       <Style />     </ChartDataLabel>   </ChartEmptyPoints>   <LegendName>Default</LegendName>   <ChartItemInLegend>     <LegendText>Overestimated Hours</LegendText>   </ChartItemInLegend>   <ChartAreaName>Default</ChartAreaName>   <ValueAxisName>Primary</ValueAxisName>   <CategoryAxisName>Primary</CategoryAxisName>   <ChartSmartLabel>     <Disabled>true</Disabled>     <MaxMovingDistance>22.5pt</MaxMovingDistance>   </ChartSmartLabel> </ChartSeries> Thats it.  I find the improved report to add some value over the out of the box version.  You can download the updated rdl for the report here.  Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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• Nautilus can't start due to segmentation fault

  - by Dmitriy Sukharev

  Out of the blue I can't start nautilus today. When I try to open any directory it tries to open it, and sometimes I even can see the content of directory, but finally it's closed, after that there are no icons on desktop. When I tried to launch nautilus from terminal, I got: $ nautilus . Initializing nautilus-dropbox 0.7.1 Initializing nautilus-gdu extension Segmentation fault (core dumped) I've tried to move ~/.local/share/gvfs-metadata folder, I don't have nautilus-open-terminal package and don't have file /usr/local/lib/libgtk-3.so.0 Also I can't update system right now. All the time I'm getting the the same hash-sum error: $ sudo apt-get update [sudo] password for dmitriy: Ign http://mirror.mirohost.net precise InRelease Ign http://mirror.mirohost.net precise-updates InRelease Ign http://mirror.mirohost.net precise-security InRelease Hit http://mirror.mirohost.net precise Release.gpg ... Ign http://ppa.launchpad.net precise/main Translation-en Hit http://mirror.mirohost.net precise-security/restricted Translation-en Hit http://mirror.mirohost.net precise-security/universe Translation-en Fetched 1 B in 1s (0 B/s) W: Failed to fetch gzip:/var/lib/apt/lists/partial/mirror.mirohost.net_ubuntu_dists_precise_universe_source_Sources Hash Sum mismatch E: Some index files failed to download. They have been ignored, or old ones used instead. Any ideas how to rescue my system? UPD: In syslog I have the following errors: Jul 7 21:35:02 dmitriy-desktop kernel: [ 58.059141] nautilus[1991]: segfault at 7fc09d9bb700 ip 00007fc0abb5feb6 sp 00007fff6caa4cf8 error 4 in libc-2.15.so[7fc0aba24000+1b3000] Jul 7 21:35:39 dmitriy-desktop kernel: [ 94.356490] update-notifier[3358]: segfault at 7f6507611700 ip 00007f64cc221eb6 sp 00007fffbcc0dd88 error 4 in libc-2.15.so[7f64cc0e6000+1b3000] Jul 7 21:37:45 dmitriy-desktop kernel: [ 220.501859] nautilus[3629]: segfault at 7f9b9744c700 ip 00007f9b7c9c6eb6 sp 00007fff72e990f8 error 4 in libc-2.15.so[7f9b7c88b000+1b3000] UPD2: Ubuntu version is 12.04.

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• how this scaling down for css code is worked?

  - by harris

  this is a code for scaling down for css. i was wondering, how this worked. please someone explain to me part by part. thank you very much. /* ======================================================================== / / Copyright (C) 2000 - 2009 ND-Tech. Co., Ltd. / / All Rights Reserved. / / ======================================================================== / / Project : ScaleDown Created : 31-AUG-2009 / / File : main.c Contact : [email protected] / / ======================================================================== / / You are free to use or modify this code to the following restrictions: / / Acknowledge ND Tech. Co. Ltd. / / Or, put "Parts of code by ND Tech. Co., Ltd." / / Or, leave this header as it is. / / in somewhere in your code. / / ======================================================================== */ include "vm3224k.h" define CE0CTL *(volatile int *)(0x01800008) define CE2CTL *(volatile int *)(0x01800010) define SDCTL *(volatile int *)(0x01800018) define LED *(volatile short *)(0x90080000) // Definitions for async access(change as you wish) define WSU (2<<28) // Write Setup : 0-15 define WST (8<<22) // Write Strobe: 0-63 define WHD (2<<20) // Write Hold : 0-3 define RSU (2<<16) // Read Setup : 0-15 define TA (3<<14) // Turn Around : 0-3 define RST (8<<8) // Read Strobe : 0-63 define RHD (2<<0) // Read Hold : 0-3 define MTYPE (2<<4) /* EDMA Registers */ define PaRAM_OPT 0 // Options define PaRAM_SRC 1 // Source Address define PaRAM_CNT 2 // Frame count, Element count define PaRAM_DST 3 // Destination Address define PaRAM_IDX 4 // Frame index, Element index define PaRAM_RDL 5 // Element count reload, Link address define EDMA_CIPR *(volatile int *)0x01A0FFE4 // EDMA Channel interrupt pending low register define EDMA_CIER *(volatile int *)0x01A0FFE8 // EDMA Channel interrupt enable low register define EDMA_CCER *(volatile int *)0x01A0FFEC // EDMA Channel chain enable register define EDMA_ER *(volatile int *)0x01A0FFF0 // EDMA Event low register define EDMA_EER *(volatile int *)0x01A0FFF4 // EDMA Event enable low register define EDMA_ECR *(volatile int *)0x01A0FFF8 // EDMA Event clear low register define EDMA_ESR *(volatile int *)0x01A0FFFC // EDMA Event set low register define PRI (2<<29) // 1:High priority, 2:Low priority define ESIZE (1<<27) // 0:32bit, 1:16bit, 2:8bit, 3:reserved define DS2 (0<<26) // 1:2-Dimensional define SUM (0<<24) // 0:no update, 1:increment, 2:decrement, 3:by index define DD2 (0<<23) // 1:2-Dimensional define DUM (0<<21) // 0:no update, 1:increment, 2:decrement, 3:by index define TCINT (1<<20) // 0:disable, 1:enable define TCC (8<<16) // 4 bit code define LINK (0<<1) // 0:disable, 1:enable define FS (1<<0) // 0:element, 1:frame define OptionField_0 (PRI|ESIZE|DS2|SUM|DD2|DUM|TCINT|TCC|LINK|FS) define DD2_1 (1<<23) // 1:2-Dimensional define DUM_1 (1<<21) // 0:no update, 1:increment, 2:decrement, 3:by index define TCC_1 (9<<16) // 4 bit code define OptionField_1 (PRI|ESIZE|DS2|SUM|DD2_1|DUM_1|TCINT|TCC_1|LINK|FS) define TCC_2 (10<<16)// 4 bit code define OptionField_2 (PRI|ESIZE|DS2|SUM|DD2|DUM|TCINT|TCC_2|LINK|FS) define DS2_3 (1<<26) // 1:2-Dimensional define SUM_3 (1<<24) // 0:no update, 1:increment, 2:decrement, 3:by index define TCC_3 (11<<16)// 4 bit code define OptionField_3 (PRI|ESIZE|DS2_3|SUM_3|DD2|DUM|TCINT|TCC_3|LINK|FS) pragma DATA_SECTION ( lcd,".sdram" ) pragma DATA_SECTION ( cam,".sdram" ) pragma DATA_SECTION ( rgb,".sdram" ) pragma DATA_SECTION ( u,".sdram" ) extern cregister volatile unsigned int IER; extern cregister volatile unsigned int CSR; short camcode = 0x08000; short lcdcode = 0x00000; short lcd[2][240][320]; short cam[2][240][320]; short rgb[64][32][32]; short bufsel; int *Cevent,*Levent,*CLink,flag=1; unsigned char v[240][160],out_y[120][160]; unsigned char y[240][320],out_u[120][80]; unsigned char u[240][160],out_v[120][80]; void PLL6713() { int i; // CPU Clock Input : 50MHz *(volatile int *)(0x01b7c100) = *(volatile int *)(0x01b7c100) & 0xfffffffe; for(i=0;i<4;i++); *(volatile int *)(0x01b7c100) = *(volatile int *)(0x01b7c100) | 0x08; *(volatile int *)(0x01b7c114) = 0x08001; // 50MHz/2 = 25MHz *(volatile int *)(0x01b7c110) = 0x0c; // 25MHz * 12 = 300MHz *(volatile int *)(0x01b7c118) = 0x08000; // SYSCLK1 = 300MHz/1 = 300MHz *(volatile int *)(0x01b7c11c) = 0x08001; // SYSCLK2 = 300MHz/2 = 150MHz // Peripheral Clock *(volatile int *)(0x01b7c120) = 0x08003; // SYSCLK3 = 300MHz/4 = 75MHz // SDRAM Clock for(i=0;i<4;i++); *(volatile int *)(0x01b7c100) = *(volatile int *)(0x01b7c100) & 0xfffffff7; for(i=0;i<4;i++); *(volatile int *)(0x01b7c100) = *(volatile int *)(0x01b7c100) | 0x01; } unsigned short ybr_565(short y,short u,short v) { int r,g,b; b = y + 1772*(u-128)/1000; if (b<0) b=0; if (b>255) b=255; g = y - (344*(u-128) + 714*(v-128))/1000; if (g<0) g=0; if (g>255) g=255; r = y + 1402*(v-128)/1000; if (r<0) r=0; if (r>255) r=255; return ((r&0x0f8)<<8)|((g&0x0fc)<<3)|((b&0x0f8)>>3); } void yuyv2yuv(char *yuyv,char *y,char *u,char *v) { int i,j,dy,dy1,dy2,s; for (j=s=dy=dy1=dy2=0;j<240;j++) { for (i=0;i<320;i+=2) { u[dy1++] = yuyv[s++]; y[dy++] = yuyv[s++]; v[dy2++] = yuyv[s++]; y[dy++] = yuyv[s++]; } } } interrupt void c_int06(void) { if(EDMA_CIPR&0x800){ EDMA_CIPR = 0xffff; bufsel=(++bufsel&0x01); Cevent[PaRAM_DST] = (int)cam[(bufsel+1)&0x01]; Levent[PaRAM_SRC] = (int)lcd[(bufsel+1)&0x01]; EDMA_ESR = 0x80; flag=1; } } void main() { int i,j,k,y0,y1,v0,u0; bufsel = 0; CSR &= (~0x1); PLL6713(); // Initialize C6713 PLL CE0CTL = 0xffffbf33;// SDRAM Space CE2CTL = (WSU|WST|WHD|RSU|RST|RHD|MTYPE); SDCTL = 0x57115000; vm3224init(); // Initialize vm3224k2 vm3224rate(1); // Set frame rate vm3224bl(15); // Set backlight VM3224CNTL = VM3224CNTL&0xffff | 0x2; // vm3224 interrupt enable for (k=0;k<64;k++) // Create RGB565 lookup table for (i=0;i<32;i++) for (j=0;j<32;j++) rgb[k][i][j] = ybr_565(k<<2,i<<3,j<<3); Cevent = (int *)(0x01a00000 + 24 * 7); Cevent[PaRAM_OPT] = OptionField_0; Cevent[PaRAM_SRC] = (int)&camcode; Cevent[PaRAM_CNT] = 1; Cevent[PaRAM_DST] = (int)&VM3224ADDH; Cevent = (int *)(0x01a00000 + 24 * 8); Cevent[PaRAM_OPT] = OptionField_1; Cevent[PaRAM_SRC] = (int)&VM3224DATA; Cevent[PaRAM_CNT] = (239<<16)|320; Cevent[PaRAM_DST] = (int)cam[bufsel]; Cevent[PaRAM_IDX] = 0; Levent = (int *)(0x01a00000 + 24 * 9); Levent[PaRAM_OPT] = OptionField_2; Levent[PaRAM_SRC] = (int)&lcdcode; Levent[PaRAM_CNT] = 1; Levent[PaRAM_DST] = (int)&VM3224ADDH; Levent = (int *)(0x01a00000 + 24 * 10); Levent[PaRAM_OPT] = OptionField_3; Levent[PaRAM_SRC] = (int)lcd[bufsel]; Levent[PaRAM_CNT] = (239<<16)|320; Levent[PaRAM_DST] = (int)&VM3224DATA; Levent[PaRAM_IDX] = 0; IER = IER | (1<<6)|3; CSR = CSR | 0x1; EDMA_CCER = (1<<8)|(1<<9)|(1<<10); EDMA_CIER = (1<<11); EDMA_CIPR = 0xffff; EDMA_ESR = 0x80; while (1) { if(flag) { // LED = 0; yuyv2yuv((char *)cam[bufsel],(char *)y,(char *)u,(char *)v); for(j=0;j<240;j++) for(i=0;i<320;i++) lcd[bufsel][j][i]=0; for(j=0;j<240;j+=2) for(i=0;i<320;i+=2) out_y[j>>1][i>>1]=(y[j][i]+y[j][i+1]+y[j+1][i]+y[j+1][i+1])>>2; for(j=0;j<240;j+=2) for(i=0;i<160;i+=2) { out_u[j>>1][i>>1]=(u[j][i]+u[j][i+1]+u[j+1][i]+u[j+1][i+1])>>2; out_v[j>>1][i>>1]=(v[j][i]+v[j][i+1]+v[j+1][i]+v[j+1][i+1])>>2; } for (j=0;j<120;j++) for (i=0;i<160;i+=2) { y0 = out_y[j][i]>>2; u0 = out_u[j][i>>1]>>3; v0 = out_v[j][i>>1]>>3; y1 = out_y[j][i+1]>>2; lcd[bufsel][j+60][i+80]=rgb[y0][u0][v0]; lcd[bufsel][j+60][i+81]=rgb[y1][u0][v0]; } flag=0; // LED = 1; } } }

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• SQL Query for Determining SharePoint ACL Sizes

  - by Damon Armstrong

  When a SharePoint Access Control List (ACL) size exceeds more than 64kb for a particular URL, the contents under that URL become unsearchable due to limitations in the SharePoint search engine.  The error most often seen is The Parameter is Incorrect which really helps to pinpoint the problem (its difficult to convey extreme sarcasm here, please note that it is intended).  Exceeding this limit is not unheard of – it can happen when users brute force security into working by continually overriding inherited permissions and assigning user-level access to securable objects. Once you have this issue, determining where you need to focus to fix the problem can be difficult.  Fortunately, there is a query that you can run on a content database that can help identify the issue: SELECT [SiteId],      MIN([ScopeUrl]) AS URL,      SUM(DATALENGTH([Acl]))/1024 as AclSizeKB,      COUNT(*) AS AclEntries FROM [Perms] (NOLOCK) GROUP BY siteid ORDER BY AclSizeKB DESC This query results in a list of ACL sizes and entry counts on a site-by-site basis.  You can also remove grouping to see a more granular breakdown: SELECT [ScopeUrl] AS URL,       SUM(DATALENGTH([Acl]))/1024 as AclSizeKB,      COUNT(*) AS AclEntries FROM [Perms] (NOLOCK) GROUP BY ScopeUrl ORDER BY AclSizeKB DESC

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• Global vs. Local Monthly Searches in Adwords keyword tool

  - by Gregory

  I'm trying to learn how to use a keyword tool in Adwords. Here's what I entered: Country- Russia Language-Russian Desktop and laptop devices And the keyword was ???? ? ??????? (tours to Israel in Russian Cyrillic letters) . As a broad match type... Now... the results that I got were: Global monthly: 60,500 Local monthly: 40,500 If I got it right..."Global monthly" means in this context : worldwide average monthly searches for this search term in ANY language in any Google search site (google.ru, google.com.ua, google.com, google.fr etc.). It's all nice, BUT... Then I made an query for tours to Israel in English in the US...And I got: Global monthly: 60,500 Local monthly: 27,100 That doesn't make any sense to me though! How come the total sum (the global) is actually a smaller number than a combined sum of just TWO countries??? (27,100+40,500=67,60060,500) By "any language" they mean a translation of the term into ANY possible language???Or maybe by "language" Google means the language of searchers' operating system? or their browsers' language?

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• How to determine if you should use full or differential backup?

  - by Peter Larsson

  Or ask yourself, "How much of the database has changed since last backup?". Here is a simple script that will tell you how much (in percent) have changed in the database since last backup. -- Prepare staging table for all DBCC outputs DECLARE @Sample TABLE         (             Col1 VARCHAR(MAX) NOT NULL,             Col2 VARCHAR(MAX) NOT NULL,             Col3 VARCHAR(MAX) NOT NULL,             Col4 VARCHAR(MAX) NOT NULL,             Col5 VARCHAR(MAX)         )   -- Some intermediate variables for controlling loop DECLARE @FileNum BIGINT = 1,         @PageNum BIGINT = 6,         @SQL VARCHAR(100),         @Error INT,         @DatabaseName SYSNAME = 'Yoda'   -- Loop all files to the very end WHILE 1 = 1     BEGIN         BEGIN TRY             -- Build the SQL string to execute             SET     @SQL = 'DBCC PAGE(' + QUOTENAME(@DatabaseName) + ', ' + CAST(@FileNum AS VARCHAR(50)) + ', '                             + CAST(@PageNum AS VARCHAR(50)) + ', 3) WITH TABLERESULTS'               -- Insert the DBCC output in the staging table             INSERT  @Sample                     (                         Col1,                         Col2,                         Col3,                         Col4                     )             EXEC    (@SQL)               -- DCM pages exists at an interval             SET    @PageNum += 511232         END TRY           BEGIN CATCH             -- If error and first DCM page does not exist, all files are read             IF @PageNum = 6                 BREAK             ELSE                 -- If no more DCM, increase filenum and start over                 SELECT  @FileNum += 1,                         @PageNum = 6         END CATCH     END   -- Delete all records not related to diff information DELETE FROM    @Sample WHERE   Col1 NOT LIKE 'DIFF%'   -- Split the range UPDATE  @Sample SET     Col5 = PARSENAME(REPLACE(Col3, ' - ', '.'), 1),         Col3 = PARSENAME(REPLACE(Col3, ' - ', '.'), 2)   -- Remove last paranthesis UPDATE  @Sample SET     Col3 = RTRIM(REPLACE(Col3, ')', '')),         Col5 = RTRIM(REPLACE(Col5, ')', ''))   -- Remove initial information about filenum UPDATE  @Sample SET     Col3 = SUBSTRING(Col3, CHARINDEX(':', Col3) + 1, 8000),         Col5 = SUBSTRING(Col5, CHARINDEX(':', Col5) + 1, 8000)   -- Prepare data outtake ;WITH cteSource(Changed, [PageCount]) AS (     SELECT      Changed,                 SUM(COALESCE(ToPage, FromPage) - FromPage + 1) AS [PageCount]     FROM        (                     SELECT CAST(Col3 AS INT) AS FromPage,                             CAST(NULLIF(Col5, '') AS INT) AS ToPage,                             LTRIM(Col4) AS Changed                     FROM    @Sample                 ) AS d     GROUP BY    Changed     WITH ROLLUP ) -- Present the final result SELECT  COALESCE(Changed, 'TOTAL PAGES') AS Changed,         [PageCount],         100.E * [PageCount] / SUM(CASE WHEN Changed IS NULL THEN 0 ELSE [PageCount] END) OVER () AS Percentage FROM    cteSource

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• Discuss: PLs are characterised by which (iso)morphisms are implemented

  - by Yttrill

  I am interested to hear discussion of the proposition summarised in the title. As we know programming language constructions admit a vast number of isomorphisms. In some languages in some places in the translation process some of these isomorphisms are implemented, whilst others require code to be written to implement them. For example, in my language Felix, the isomorphism between a type T and a tuple of one element of type T is implemented, meaning the two types are indistinguishable (identical). Similarly, a tuple of N values of the same type is not merely isomorphic to an array, it is an array: the isomorphism is implemented by the compiler. Many other isomorphisms are not implemented for example there is an isomorphism expressed by the following client code: match v with | ((?x,?y),?z = x,(y,z) // Felix match v with | (x,y), - x,(y,z) (* Ocaml *) As another example, a type constructor C of int in Felix may be used directly as a function, whilst in Ocaml you must write a wrapper: let c x = C x Another isomorphism Felix implements is the elimination of unit values, including those in tuples: Felix can do this because (most) polymorphic values are monomorphised which can be done because it is a whole program analyser, Ocaml, for example, cannot do this easily because it supports separate compilation. For the same reason Felix performs type-class dispatch at compile time whilst Haskell passes around dictionaries. There are some quite surprising issues here. For example an array is just a tuple, and tuples can be indexed at run time using a match and returning a value of a corresponding sum type. Indeed, to be correct the index used is in fact a case of unit sum with N summands, rather than an integer. Yet, in a real implementation, if the tuple is an array the index is replaced by an integer with a range check, and the result type is replaced by the common argument type of all the constructors: two isomorphisms are involved here, but they're implemented partly in the compiler translation and partly at run time.

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