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  • Compute Scalars, Expressions and Execution Plan Performance

    - by Paul White
    The humble Compute Scalar is one of the least well-understood of the execution plan operators, and usually the last place people look for query performance problems. It often appears in execution plans with a very low (or even zero) cost, which goes some way to explaining why people ignore it. Some readers will already know that a Compute Scalar can contain a call to a user-defined function, and that any T-SQL function with a BEGIN…END block in its definition can have truly disastrous consequences...(read more)

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  • DHCP reply packets do not make it into KVM instance in OpenStack

    - by Lorin Hochstein
    I'm running a KVM instance inside of OpenStack, and it isn't getting an IP address from the DHCP server. Using tcpdump, I can see the request and reply packets on vnet0 of the compute host: # tcpdump -i vnet0 -n port 67 or port 68 tcpdump: WARNING: vnet0: no IPv4 address assigned tcpdump: verbose output suppressed, use -v or -vv for full protocol decode listening on vnet0, link-type EN10MB (Ethernet), capture size 65535 bytes 19:44:56.176727 IP 0.0.0.0.68 > 255.255.255.255.67: BOOTP/DHCP, Request from fa:16:3e:46:f6:11, length 300 19:44:56.176785 IP 0.0.0.0.68 > 255.255.255.255.67: BOOTP/DHCP, Request from fa:16:3e:46:f6:11, length 300 19:44:56.177315 IP 10.40.0.1.67 > 10.40.0.3.68: BOOTP/DHCP, Reply, length 319 19:45:02.179834 IP 0.0.0.0.68 > 255.255.255.255.67: BOOTP/DHCP, Request from fa:16:3e:46:f6:11, length 300 19:45:02.179904 IP 0.0.0.0.68 > 255.255.255.255.67: BOOTP/DHCP, Request from fa:16:3e:46:f6:11, length 300 19:45:02.180375 IP 10.40.0.1.67 > 10.40.0.3.68: BOOTP/DHCP, Reply, length 319 However, if I do the same thing on eth0 inside the KVM instance, I only see the request packets, not the reply packets. What would prevent the packets from making it from vnet0 of the host to eth0 of the guest? My host is running Ubuntu 12.04 and my guest is running CentOS 6.3. Note that I have added this rule in my iptables, but it doesn't resolve the issue: -A POSTROUTING -p udp -m udp --dport 68 -j CHECKSUM --checksum-fill The instance corresponds to vnet0 and is connected via br100: # brctl show bridge name bridge id STP enabled interfaces br100 8000.54781a8605f2 no eth1 vnet0 vnet1 virbr0 8000.000000000000 yes Here's the full iptables-save: # Generated by iptables-save v1.4.12 on Tue Apr 2 19:47:27 2013 *nat :PREROUTING ACCEPT [8323:2553683] :INPUT ACCEPT [7993:2494942] :OUTPUT ACCEPT [6158:461050] :POSTROUTING ACCEPT [6455:511595] :nova-compute-OUTPUT - [0:0] :nova-compute-POSTROUTING - [0:0] :nova-compute-PREROUTING - [0:0] :nova-compute-float-snat - [0:0] :nova-compute-snat - [0:0] :nova-postrouting-bottom - [0:0] -A PREROUTING -j nova-compute-PREROUTING -A OUTPUT -j nova-compute-OUTPUT -A POSTROUTING -j nova-compute-POSTROUTING -A POSTROUTING -j nova-postrouting-bottom -A POSTROUTING -s 192.168.122.0/24 ! -d 192.168.122.0/24 -p tcp -j MASQUERADE --to-ports 1024-65535 -A POSTROUTING -s 192.168.122.0/24 ! -d 192.168.122.0/24 -p udp -j MASQUERADE --to-ports 1024-65535 -A POSTROUTING -s 192.168.122.0/24 ! -d 192.168.122.0/24 -j MASQUERADE -A nova-compute-snat -j nova-compute-float-snat -A nova-postrouting-bottom -j nova-compute-snat COMMIT # Completed on Tue Apr 2 19:47:27 2013 # Generated by iptables-save v1.4.12 on Tue Apr 2 19:47:27 2013 *mangle :PREROUTING ACCEPT [7969:5385812] :INPUT ACCEPT [7905:5363718] :FORWARD ACCEPT [158:48190] :OUTPUT ACCEPT [6877:8647975] :POSTROUTING ACCEPT [7035:8696165] -A POSTROUTING -o virbr0 -p udp -m udp --dport 68 -j CHECKSUM --checksum-fill -A POSTROUTING -p udp -m udp --dport 68 -j CHECKSUM --checksum-fill COMMIT # Completed on Tue Apr 2 19:47:27 2013 # Generated by iptables-save v1.4.12 on Tue Apr 2 19:47:27 2013 *filter :INPUT ACCEPT [2196774:15856921923] :FORWARD ACCEPT [0:0] :OUTPUT ACCEPT [2447201:1170227646] :nova-compute-FORWARD - [0:0] :nova-compute-INPUT - [0:0] :nova-compute-OUTPUT - [0:0] :nova-compute-inst-19 - [0:0] :nova-compute-inst-20 - [0:0] :nova-compute-local - [0:0] :nova-compute-provider - [0:0] :nova-compute-sg-fallback - [0:0] :nova-filter-top - [0:0] -A INPUT -j nova-compute-INPUT -A INPUT -i virbr0 -p udp -m udp --dport 53 -j ACCEPT -A INPUT -i virbr0 -p tcp -m tcp --dport 53 -j ACCEPT -A INPUT -i virbr0 -p udp -m udp --dport 67 -j ACCEPT -A INPUT -i virbr0 -p tcp -m tcp --dport 67 -j ACCEPT -A FORWARD -j nova-filter-top -A FORWARD -j nova-compute-FORWARD -A FORWARD -d 192.168.122.0/24 -o virbr0 -m state --state RELATED,ESTABLISHED -j ACCEPT -A FORWARD -s 192.168.122.0/24 -i virbr0 -j ACCEPT -A FORWARD -i virbr0 -o virbr0 -j ACCEPT -A FORWARD -o virbr0 -j REJECT --reject-with icmp-port-unreachable -A FORWARD -i virbr0 -j REJECT --reject-with icmp-port-unreachable -A OUTPUT -j nova-filter-top -A OUTPUT -j nova-compute-OUTPUT -A nova-compute-FORWARD -i br100 -j ACCEPT -A nova-compute-FORWARD -o br100 -j ACCEPT -A nova-compute-inst-19 -m state --state INVALID -j DROP -A nova-compute-inst-19 -m state --state RELATED,ESTABLISHED -j ACCEPT -A nova-compute-inst-19 -j nova-compute-provider -A nova-compute-inst-19 -s 10.40.0.1/32 -p udp -m udp --sport 67 --dport 68 -j ACCEPT -A nova-compute-inst-19 -s 10.40.0.0/16 -j ACCEPT -A nova-compute-inst-19 -p tcp -m tcp --dport 22 -j ACCEPT -A nova-compute-inst-19 -p icmp -j ACCEPT -A nova-compute-inst-19 -j nova-compute-sg-fallback -A nova-compute-inst-20 -m state --state INVALID -j DROP -A nova-compute-inst-20 -m state --state RELATED,ESTABLISHED -j ACCEPT -A nova-compute-inst-20 -j nova-compute-provider -A nova-compute-inst-20 -s 10.40.0.1/32 -p udp -m udp --sport 67 --dport 68 -j ACCEPT -A nova-compute-inst-20 -s 10.40.0.0/16 -j ACCEPT -A nova-compute-inst-20 -p tcp -m tcp --dport 22 -j ACCEPT -A nova-compute-inst-20 -p icmp -j ACCEPT -A nova-compute-inst-20 -j nova-compute-sg-fallback -A nova-compute-local -d 10.40.0.3/32 -j nova-compute-inst-19 -A nova-compute-local -d 10.40.0.4/32 -j nova-compute-inst-20 -A nova-compute-sg-fallback -j DROP -A nova-filter-top -j nova-compute-local COMMIT # Completed on Tue Apr 2 19:47:27 2013

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  • SQL SERVER – Use ROLL UP Clause instead of COMPUTE BY

    - by pinaldave
    Note: This upgrade was test performed on development server with using bits of SQL Server 2012 RC0 (which was available at in public) when this test was performed. However, SQL Server RTM (GA on April 1) is expected to behave similarly. I recently observed an upgrade from SQL Server 2005 to SQL Server 2012 with compatibility keeping at SQL Server 2012 (110). After upgrading the system and testing the various modules of the application, we quickly observed that few of the reports were not working. They were throwing error. When looked at carefully I noticed that it was using COMPUTE BY clause, which is deprecated in SQL Server 2012. COMPUTE BY clause is replaced by ROLL UP clause in SQL Server 2012. However there is no direct replacement of the code, user have to re-write quite a few things when using ROLL UP instead of COMPUTE BY. The primary reason is that how each of them returns results. In original code COMPUTE BY was resulting lots of result set but ROLL UP. Here is the example of the similar code of ROLL UP and COMPUTE BY. I personally find the ROLL UP much easier than COMPUTE BY as it returns all the results in single resultset unlike the other one. Here is the quick code which I wrote to demonstrate the said behavior. CREATE TABLE tblPopulation ( Country VARCHAR(100), [State] VARCHAR(100), City VARCHAR(100), [Population (in Millions)] INT ) GO INSERT INTO tblPopulation VALUES('India', 'Delhi','East Delhi',9 ) INSERT INTO tblPopulation VALUES('India', 'Delhi','South Delhi',8 ) INSERT INTO tblPopulation VALUES('India', 'Delhi','North Delhi',5.5) INSERT INTO tblPopulation VALUES('India', 'Delhi','West Delhi',7.5) INSERT INTO tblPopulation VALUES('India', 'Karnataka','Bangalore',9.5) INSERT INTO tblPopulation VALUES('India', 'Karnataka','Belur',2.5) INSERT INTO tblPopulation VALUES('India', 'Karnataka','Manipal',1.5) INSERT INTO tblPopulation VALUES('India', 'Maharastra','Mumbai',30) INSERT INTO tblPopulation VALUES('India', 'Maharastra','Pune',20) INSERT INTO tblPopulation VALUES('India', 'Maharastra','Nagpur',11 ) INSERT INTO tblPopulation VALUES('India', 'Maharastra','Nashik',6.5) GO SELECT Country,[State],City, SUM ([Population (in Millions)]) AS [Population (in Millions)] FROM tblPopulation GROUP BY Country,[State],City WITH ROLLUP GO SELECT Country,[State],City, [Population (in Millions)] FROM tblPopulation ORDER BY Country,[State],City COMPUTE SUM([Population (in Millions)]) BY Country,[State]--,City GO After writing this blog post I continuously feel that there should be some better way to do the same task. Is there any easier way to replace COMPUTE BY? Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Juju Openstack bundle: Can't launch an instance

    - by user281985
    Deployed bundle:~makyo/openstack/2/openstack, on top of 7 physical boxes and 3 virtual ones. After changing vip_iface strings to point to right devices, e.g., br0 instead of eth0, and defining "/mnt/loopback|30G", in Cinder's block-device string, am able to navigate through openstack dashboard, error free. Following http://docs.openstack.org/grizzly/openstack-compute/install/apt/content/running-an-instance.html instructions, attempted to launch cirros 0.3.1 image; however, novalist shows the instance in error state. ubuntu@node7:~$ nova --debug boot --flavor 1 --image 28bed1bc-bc1c-4533-beee-8e0428ad40dd --key_name key2 --security_group default cirros REQ: curl -i http://keyStone.IP:5000/v2.0/tokens -X POST -H "Content-Type: application/json" -H "Accept: application/json" -H "User-Agent: python-novaclient" -d '{"auth": {"tenantName": "admin", "passwordCredentials": {"username": "admin", "password": "openstack"}}}' INFO (connectionpool:191) Starting new HTTP connection (1): keyStone.IP DEBUG (connectionpool:283) "POST /v2.0/tokens HTTP/1.1" 200 None RESP: [200] {'date': 'Tue, 10 Jun 2014 00:01:02 GMT', 'transfer-encoding': 'chunked', 'vary': 'X-Auth-Token', 'content-type': 'application/json'} RESP BODY: {"access": {"token": {"expires": "2014-06-11T00:01:02Z", "id": "3eefa1837d984426a633fe09259a1534", "tenant": {"description": "Created by Juju", "enabled": true, "id": "08cff06d13b74492b780d9ceed699239", "name": "admin"}}, "serviceCatalog": [{"endpoints": [{"adminURL": "http://nova.cloud.controller:8774/v1.1/08cff06d13b74492b780d9ceed699239", "region": "RegionOne", "internalURL": "http://nova.cloud.controller:8774/v1.1/08cff06d13b74492b780d9ceed699239", "publicURL": "http://nova.cloud.controller:8774/v1.1/08cff06d13b74492b780d9ceed699239"}], "endpoints_links": [], "type": "compute", "name": "nova"}, {"endpoints": [{"adminURL": "http://nova.cloud.controller:9696", "region": "RegionOne", "internalURL": "http://nova.cloud.controller:9696", "publicURL": "http://nova.cloud.controller:9696"}], "endpoints_links": [], "type": "network", "name": "quantum"}, {"endpoints": [{"adminURL": "http://nova.cloud.controller:3333", "region": "RegionOne", "internalURL": "http://nova.cloud.controller:3333", "publicURL": "http://nova.cloud.controller:3333"}], "endpoints_links": [], "type": "s3", "name": "s3"}, {"endpoints": [{"adminURL": "http://i.p.s.36:9292", "region": "RegionOne", "internalURL": "http://i.p.s.36:9292", "publicURL": "http://i.p.s.36:9292"}], "endpoints_links": [], "type": "image", "name": "glance"}, {"endpoints": [{"adminURL": "http://i.p.s.39:8776/v1/08cff06d13b74492b780d9ceed699239", "region": "RegionOne", "internalURL": "http://i.p.s.39:8776/v1/08cff06d13b74492b780d9ceed699239", "publicURL": "http://i.p.s.39:8776/v1/08cff06d13b74492b780d9ceed699239"}], "endpoints_links": [], "type": "volume", "name": "cinder"}, {"endpoints": [{"adminURL": "http://nova.cloud.controller:8773/services/Cloud", "region": "RegionOne", "internalURL": "http://nova.cloud.controller:8773/services/Cloud", "publicURL": "http://nova.cloud.controller:8773/services/Cloud"}], "endpoints_links": [], "type": "ec2", "name": "ec2"}, {"endpoints": [{"adminURL": "http://keyStone.IP:35357/v2.0", "region": "RegionOne", "internalURL": "http://keyStone.IP:5000/v2.0", "publicURL": "http://i.p.s.44:5000/v2.0"}], "endpoints_links": [], "type": "identity", "name": "keystone"}], "user": {"username": "admin", "roles_links": [], "id": "b3730a52a32e40f0a9500440d1ef1c7d", "roles": [{"id": "e020001eb9a049f4a16540238ab158aa", "name": "Admin"}, {"id": "b84fbff4d5554d53bbbffdaad66b56cb", "name": "KeystoneServiceAdmin"}, {"id": "129c8b49d42b4f0796109aaef2069aa9", "name": "KeystoneAdmin"}], "name": "admin"}}} REQ: curl -i http://nova.cloud.controller:8774/v1.1/08cff06d13b74492b780d9ceed699239/images/28bed1bc-bc1c-4533-beee-8e0428ad40dd -X GET -H "X-Auth-Project-Id: admin" -H "User-Agent: python-novaclient" -H "Accept: application/json" -H "X-Auth-Token: 3eefa1837d984426a633fe09259a1534" INFO (connectionpool:191) Starting new HTTP connection (1): nova.cloud.controller DEBUG (connectionpool:283) "GET /v1.1/08cff06d13b74492b780d9ceed699239/images/28bed1bc-bc1c-4533-beee-8e0428ad40dd HTTP/1.1" 200 719 RESP: [200] {'date': 'Tue, 10 Jun 2014 00:01:03 GMT', 'x-compute-request-id': 'req-7f3459f8-d3d5-47f1-97a3-8407a4419a69', 'content-type': 'application/json', 'content-length': '719'} RESP BODY: {"image": {"status": "ACTIVE", "updated": "2014-06-09T22:17:54Z", "links": [{"href": "http://nova.cloud.controller:8774/v1.1/08cff06d13b74492b780d9ceed699239/images/28bed1bc-bc1c-4533-beee-8e0428ad40dd", "rel": "self"}, {"href": "http://nova.cloud.controller:8774/08cff06d13b74492b780d9ceed699239/images/28bed1bc-bc1c-4533-beee-8e0428ad40dd", "rel": "bookmark"}, {"href": "http://External.Public.Port:9292/08cff06d13b74492b780d9ceed699239/images/28bed1bc-bc1c-4533-beee-8e0428ad40dd", "type": "application/vnd.openstack.image", "rel": "alternate"}], "id": "28bed1bc-bc1c-4533-beee-8e0428ad40dd", "OS-EXT-IMG-SIZE:size": 13147648, "name": "Cirros 0.3.1", "created": "2014-06-09T22:17:54Z", "minDisk": 0, "progress": 100, "minRam": 0, "metadata": {}}} REQ: curl -i http://nova.cloud.controller:8774/v1.1/08cff06d13b74492b780d9ceed699239/flavors/1 -X GET -H "X-Auth-Project-Id: admin" -H "User-Agent: python-novaclient" -H "Accept: application/json" -H "X-Auth-Token: 3eefa1837d984426a633fe09259a1534" INFO (connectionpool:191) Starting new HTTP connection (1): nova.cloud.controller DEBUG (connectionpool:283) "GET /v1.1/08cff06d13b74492b780d9ceed699239/flavors/1 HTTP/1.1" 200 418 RESP: [200] {'date': 'Tue, 10 Jun 2014 00:01:04 GMT', 'x-compute-request-id': 'req-2c153110-6969-4f3a-b51c-8f1a6ce75bee', 'content-type': 'application/json', 'content-length': '418'} RESP BODY: {"flavor": {"name": "m1.tiny", "links": [{"href": "http://nova.cloud.controller:8774/v1.1/08cff06d13b74492b780d9ceed699239/flavors/1", "rel": "self"}, {"href": "http://nova.cloud.controller:8774/08cff06d13b74492b780d9ceed699239/flavors/1", "rel": "bookmark"}], "ram": 512, "OS-FLV-DISABLED:disabled": false, "vcpus": 1, "swap": "", "os-flavor-access:is_public": true, "rxtx_factor": 1.0, "OS-FLV-EXT-DATA:ephemeral": 0, "disk": 0, "id": "1"}} REQ: curl -i http://nova.cloud.controller:8774/v1.1/08cff06d13b74492b780d9ceed699239/servers -X POST -H "X-Auth-Project-Id: admin" -H "User-Agent: python-novaclient" -H "Content-Type: application/json" -H "Accept: application/json" -H "X-Auth-Token: 3eefa1837d984426a633fe09259a1534" -d '{"server": {"name": "cirros", "imageRef": "28bed1bc-bc1c-4533-beee-8e0428ad40dd", "key_name": "key2", "flavorRef": "1", "max_count": 1, "min_count": 1, "security_groups": [{"name": "default"}]}}' INFO (connectionpool:191) Starting new HTTP connection (1): nova.cloud.controller DEBUG (connectionpool:283) "POST /v1.1/08cff06d13b74492b780d9ceed699239/servers HTTP/1.1" 202 436 RESP: [202] {'date': 'Tue, 10 Jun 2014 00:01:05 GMT', 'x-compute-request-id': 'req-41e53086-6454-4efb-bb35-a30dc2c780be', 'content-type': 'application/json', 'location': 'http://nova.cloud.controller:8774/v1.1/08cff06d13b74492b780d9ceed699239/servers/2eb5e3ad-3044-41c1-bbb7-10f398f83e43', 'content-length': '436'} RESP BODY: {"server": {"security_groups": [{"name": "default"}], "OS-DCF:diskConfig": "MANUAL", "id": "2eb5e3ad-3044-41c1-bbb7-10f398f83e43", "links": [{"href": "http://nova.cloud.controller:8774/v1.1/08cff06d13b74492b780d9ceed699239/servers/2eb5e3ad-3044-41c1-bbb7-10f398f83e43", "rel": "self"}, {"href": "http://nova.cloud.controller:8774/08cff06d13b74492b780d9ceed699239/servers/2eb5e3ad-3044-41c1-bbb7-10f398f83e43", "rel": "bookmark"}], "adminPass": "oFRbvRqif2C8"}} REQ: curl -i http://nova.cloud.controller:8774/v1.1/08cff06d13b74492b780d9ceed699239/servers/2eb5e3ad-3044-41c1-bbb7-10f398f83e43 -X GET -H "X-Auth-Project-Id: admin" -H "User-Agent: python-novaclient" -H "Accept: application/json" -H "X-Auth-Token: 3eefa1837d984426a633fe09259a1534" INFO (connectionpool:191) Starting new HTTP connection (1): nova.cloud.controller DEBUG (connectionpool:283) "GET /v1.1/08cff06d13b74492b780d9ceed699239/servers/2eb5e3ad-3044-41c1-bbb7-10f398f83e43 HTTP/1.1" 200 1349 RESP: [200] {'date': 'Tue, 10 Jun 2014 00:01:05 GMT', 'x-compute-request-id': 'req-d91d0858-7030-469d-8e55-40e05e4d00fd', 'content-type': 'application/json', 'content-length': '1349'} RESP BODY: {"server": {"status": "BUILD", "updated": "2014-06-10T00:01:05Z", "hostId": "", "OS-EXT-SRV-ATTR:host": null, "addresses": {}, "links": [{"href": "http://nova.cloud.controller:8774/v1.1/08cff06d13b74492b780d9ceed699239/servers/2eb5e3ad-3044-41c1-bbb7-10f398f83e43", "rel": "self"}, {"href": "http://nova.cloud.controller:8774/08cff06d13b74492b780d9ceed699239/servers/2eb5e3ad-3044-41c1-bbb7-10f398f83e43", "rel": "bookmark"}], "key_name": "key2", "image": {"id": "28bed1bc-bc1c-4533-beee-8e0428ad40dd", "links": [{"href": "http://nova.cloud.controller:8774/08cff06d13b74492b780d9ceed699239/images/28bed1bc-bc1c-4533-beee-8e0428ad40dd", "rel": "bookmark"}]}, "OS-EXT-STS:task_state": "scheduling", "OS-EXT-STS:vm_state": "building", "OS-EXT-SRV-ATTR:instance_name": "instance-00000004", "OS-EXT-SRV-ATTR:hypervisor_hostname": null, "flavor": {"id": "1", "links": [{"href": "http://nova.cloud.controller:8774/08cff06d13b74492b780d9ceed699239/flavors/1", "rel": "bookmark"}]}, "id": "2eb5e3ad-3044-41c1-bbb7-10f398f83e43", "security_groups": [{"name": "default"}], "OS-EXT-AZ:availability_zone": "nova", "user_id": "b3730a52a32e40f0a9500440d1ef1c7d", "name": "cirros", "created": "2014-06-10T00:01:04Z", "tenant_id": "08cff06d13b74492b780d9ceed699239", "OS-DCF:diskConfig": "MANUAL", "accessIPv4": "", "accessIPv6": "", "progress": 0, "OS-EXT-STS:power_state": 0, "config_drive": "", "metadata": {}}} REQ: curl -i http://nova.cloud.controller:8774/v1.1/08cff06d13b74492b780d9ceed699239/flavors/1 -X GET -H "X-Auth-Project-Id: admin" -H "User-Agent: python-novaclient" -H "Accept: application/json" -H "X-Auth-Token: 3eefa1837d984426a633fe09259a1534" INFO (connectionpool:191) Starting new HTTP connection (1): nova.cloud.controller DEBUG (connectionpool:283) "GET /v1.1/08cff06d13b74492b780d9ceed699239/flavors/1 HTTP/1.1" 200 418 RESP: [200] {'date': 'Tue, 10 Jun 2014 00:01:05 GMT', 'x-compute-request-id': 'req-896c0120-1102-4408-9e09-cd628f2dd699', 'content-type': 'application/json', 'content-length': '418'} RESP BODY: {"flavor": {"name": "m1.tiny", "links": [{"href": "http://nova.cloud.controller:8774/v1.1/08cff06d13b74492b780d9ceed699239/flavors/1", "rel": "self"}, {"href": "http://nova.cloud.controller:8774/08cff06d13b74492b780d9ceed699239/flavors/1", "rel": "bookmark"}], "ram": 512, "OS-FLV-DISABLED:disabled": false, "vcpus": 1, "swap": "", "os-flavor-access:is_public": true, "rxtx_factor": 1.0, "OS-FLV-EXT-DATA:ephemeral": 0, "disk": 0, "id": "1"}} REQ: curl -i http://nova.cloud.controller:8774/v1.1/08cff06d13b74492b780d9ceed699239/images/28bed1bc-bc1c-4533-beee-8e0428ad40dd -X GET -H "X-Auth-Project-Id: admin" -H "User-Agent: python-novaclient" -H "Accept: application/json" -H "X-Auth-Token: 3eefa1837d984426a633fe09259a1534" INFO (connectionpool:191) Starting new HTTP connection (1): nova.cloud.controller DEBUG (connectionpool:283) "GET /v1.1/08cff06d13b74492b780d9ceed699239/images/28bed1bc-bc1c-4533-beee-8e0428ad40dd HTTP/1.1" 200 719 RESP: [200] {'date': 'Tue, 10 Jun 2014 00:01:05 GMT', 'x-compute-request-id': 'req-454e9651-c247-4d31-8049-6b254de050ae', 'content-type': 'application/json', 'content-length': '719'} RESP BODY: {"image": {"status": "ACTIVE", "updated": "2014-06-09T22:17:54Z", "links": [{"href": "http://nova.cloud.controller:8774/v1.1/08cff06d13b74492b780d9ceed699239/images/28bed1bc-bc1c-4533-beee-8e0428ad40dd", "rel": "self"}, {"href": "http://nova.cloud.controller:8774/08cff06d13b74492b780d9ceed699239/images/28bed1bc-bc1c-4533-beee-8e0428ad40dd", "rel": "bookmark"}, {"href": "http://External.Public.Port:9292/08cff06d13b74492b780d9ceed699239/images/28bed1bc-bc1c-4533-beee-8e0428ad40dd", "type": "application/vnd.openstack.image", "rel": "alternate"}], "id": "28bed1bc-bc1c-4533-beee-8e0428ad40dd", "OS-EXT-IMG-SIZE:size": 13147648, "name": "Cirros 0.3.1", "created": "2014-06-09T22:17:54Z", "minDisk": 0, "progress": 100, "minRam": 0, "metadata": {}}} +-------------------------------------+--------------------------------------+ | Property | Value | +-------------------------------------+--------------------------------------+ | OS-EXT-STS:task_state | scheduling | | image | Cirros 0.3.1 | | OS-EXT-STS:vm_state | building | | OS-EXT-SRV-ATTR:instance_name | instance-00000004 | | flavor | m1.tiny | | id | 2eb5e3ad-3044-41c1-bbb7-10f398f83e43 | | security_groups | [{u'name': u'default'}] | | user_id | b3730a52a32e40f0a9500440d1ef1c7d | | OS-DCF:diskConfig | MANUAL | | accessIPv4 | | | accessIPv6 | | | progress | 0 | | OS-EXT-STS:power_state | 0 | | OS-EXT-AZ:availability_zone | nova | | config_drive | | | status | BUILD | | updated | 2014-06-10T00:01:05Z | | hostId | | | OS-EXT-SRV-ATTR:host | None | | key_name | key2 | | OS-EXT-SRV-ATTR:hypervisor_hostname | None | | name | cirros | | adminPass | oFRbvRqif2C8 | | tenant_id | 08cff06d13b74492b780d9ceed699239 | | created | 2014-06-10T00:01:04Z | | metadata | {} | +-------------------------------------+--------------------------------------+ ubuntu@node7:~$ ubuntu@node7:~$ nova list +--------------------------------------+--------+--------+----------+ | ID | Name | Status | Networks | +--------------------------------------+--------+--------+----------+ | 2eb5e3ad-3044-41c1-bbb7-10f398f83e43 | cirros | ERROR | | +--------------------------------------+--------+--------+----------+ ubuntu@node7:~$ var/log/nova/nova-compute.log shows the following error: ... 2014-06-10 00:01:06.048 AUDIT nova.compute.claims [req-41e53086-6454-4efb-bb35-a30dc2c780be b3730a52a32e40f0a9500440d1ef1c7d 08cff06d13b74492b780d9ceed699239] [instance: 2eb5e3ad-3044-41c1-bbb7-10f398f83e43] Attempting claim: memory 512 MB, disk 0 GB, VCPUs 1 2014-06-10 00:01:06.049 AUDIT nova.compute.claims [req-41e53086-6454-4efb-bb35-a30dc2c780be b3730a52a32e40f0a9500440d1ef1c7d 08cff06d13b74492b780d9ceed699239] [instance: 2eb5e3ad-3044-41c1-bbb7-10f398f83e43] Total Memory: 3885 MB, used: 512 MB 2014-06-10 00:01:06.049 AUDIT nova.compute.claims [req-41e53086-6454-4efb-bb35-a30dc2c780be b3730a52a32e40f0a9500440d1ef1c7d 08cff06d13b74492b780d9ceed699239] [instance: 2eb5e3ad-3044-41c1-bbb7-10f398f83e43] Memory limit: 5827 MB, free: 5315 MB 2014-06-10 00:01:06.049 AUDIT nova.compute.claims [req-41e53086-6454-4efb-bb35-a30dc2c780be b3730a52a32e40f0a9500440d1ef1c7d 08cff06d13b74492b780d9ceed699239] [instance: 2eb5e3ad-3044-41c1-bbb7-10f398f83e43] Total Disk: 146 GB, used: 0 GB 2014-06-10 00:01:06.050 AUDIT nova.compute.claims [req-41e53086-6454-4efb-bb35-a30dc2c780be b3730a52a32e40f0a9500440d1ef1c7d 08cff06d13b74492b780d9ceed699239] [instance: 2eb5e3ad-3044-41c1-bbb7-10f398f83e43] Disk limit not specified, defaulting to unlimited 2014-06-10 00:01:06.050 AUDIT nova.compute.claims [req-41e53086-6454-4efb-bb35-a30dc2c780be b3730a52a32e40f0a9500440d1ef1c7d 08cff06d13b74492b780d9ceed699239] [instance: 2eb5e3ad-3044-41c1-bbb7-10f398f83e43] Total CPU: 2 VCPUs, used: 0 VCPUs 2014-06-10 00:01:06.050 AUDIT nova.compute.claims [req-41e53086-6454-4efb-bb35-a30dc2c780be b3730a52a32e40f0a9500440d1ef1c7d 08cff06d13b74492b780d9ceed699239] [instance: 2eb5e3ad-3044-41c1-bbb7-10f398f83e43] CPU limit not specified, defaulting to unlimited 2014-06-10 00:01:06.051 AUDIT nova.compute.claims [req-41e53086-6454-4efb-bb35-a30dc2c780be b3730a52a32e40f0a9500440d1ef1c7d 08cff06d13b74492b780d9ceed699239] [instance: 2eb5e3ad-3044-41c1-bbb7-10f398f83e43] Claim successful 2014-06-10 00:01:06.963 WARNING nova.network.quantumv2.api [req-41e53086-6454-4efb-bb35-a30dc2c780be b3730a52a32e40f0a9500440d1ef1c7d 08cff06d13b74492b780d9ceed699239] [instance: 2eb5e3ad-3044-41c1-bbb7-10f398f83e43] No network configured! 2014-06-10 00:01:08.347 ERROR nova.compute.manager [req-41e53086-6454-4efb-bb35-a30dc2c780be b3730a52a32e40f0a9500440d1ef1c7d 08cff06d13b74492b780d9ceed699239] [instance: 2eb5e3ad-3044-41c1-bbb7-10f398f83e43] Instance failed to spawn 2014-06-10 00:01:08.347 32223 TRACE nova.compute.manager [instance: 2eb5e3ad-3044-41c1-bbb7-10f398f83e43] Traceback (most recent call last): 2014-06-10 00:01:08.347 32223 TRACE nova.compute.manager [instance: 2eb5e3ad-3044-41c1-bbb7-10f398f83e43] File "/usr/lib/python2.7/dist-packages/nova/compute/manager.py", line 1118, in _spawn 2014-06-10 00:01:08.347 32223 TRACE nova.compute.manager [instance: 2eb5e3ad-3044-41c1-bbb7-10f398f83e43] self._legacy_nw_info(network_info), 2014-06-10 00:01:08.347 32223 TRACE nova.compute.manager [instance: 2eb5e3ad-3044-41c1-bbb7-10f398f83e43] File "/usr/lib/python2.7/dist-packages/nova/compute/manager.py", line 703, in _legacy_nw_info 2014-06-10 00:01:08.347 32223 TRACE nova.compute.manager [instance: 2eb5e3ad-3044-41c1-bbb7-10f398f83e43] network_info = network_info.legacy() 2014-06-10 00:01:08.347 32223 TRACE nova.compute.manager [instance: 2eb5e3ad-3044-41c1-bbb7-10f398f83e43] AttributeError: 'list' object has no attribute 'legacy' 2014-06-10 00:01:08.347 32223 TRACE nova.compute.manager [instance: 2eb5e3ad-3044-41c1-bbb7-10f398f83e43] 2014-06-10 00:01:08.919 AUDIT nova.compute.manager [req-41e53086-6454-4efb-bb35-a30dc2c780be b3730a52a32e40f0a9500440d1ef1c7d 08cff06d13b74492b780d9ceed699239] [instance: 2eb5e3ad-3044-41c1-bbb7-10f398f83e43] Terminating instance 2014-06-10 00:01:09.712 32223 ERROR nova.virt.libvirt.driver [-] [instance: 2eb5e3ad-3044-41c1-bbb7-10f398f83e43] During wait destroy, instance disappeared. 2014-06-10 00:01:09.718 INFO nova.virt.libvirt.firewall [req-41e53086-6454-4efb-bb35-a30dc2c780be b3730a52a32e40f0a9500440d1ef1c7d 08cff06d13b74492b780d9ceed699239] [instance: 2eb5e3ad-3044-41c1-bbb7-10f398f83e43] Attempted to unfilter instance which is not filtered 2014-06-10 00:01:09.719 INFO nova.virt.libvirt.driver [req-41e53086-6454-4efb-bb35-a30dc2c780be b3730a52a32e40f0a9500440d1ef1c7d 08cff06d13b74492b780d9ceed699239] [instance: 2eb5e3ad-3044-41c1-bbb7-10f398f83e43] Deleting instance files /var/lib/nova/instances/2eb5e3ad-3044-41c1-bbb7-10f398f83e43 2014-06-10 00:01:10.044 ERROR nova.compute.manager [req-41e53086-6454-4efb-bb35-a30dc2c780be b3730a52a32e40f0a9500440d1ef1c7d 08cff06d13b74492b780d9ceed699239] [instance: 2eb5e3ad-3044-41c1-bbb7-10f398f83e43] Error: ['Traceback (most recent call last):\n', ' File "/usr/lib/python2.7/dist-packages/nova/compute/manager.py", line 864, in _run_instance\n set_access_ip=set_access_ip)\n', ' File "/usr/lib/python2.7/dist-packages/nova/compute/manager.py", line 1123, in _spawn\n LOG.exception(_(\'Instance failed to spawn\'), instance=instance)\n', ' File "/usr/lib/python2.7/contextlib.py", line 24, in __exit__\n self.gen.next()\n', ' File "/usr/lib/python2.7/dist-packages/nova/compute/manager.py", line 1118, in _spawn\n self._legacy_nw_info(network_info),\n', ' File "/usr/lib/python2.7/dist-packages/nova/compute/manager.py", line 703, in _legacy_nw_info\n network_info = network_info.legacy()\n', "AttributeError: 'list' object has no attribute 'legacy'\n"] 2014-06-10 00:01:40.951 32223 AUDIT nova.compute.resource_tracker [-] Auditing locally available compute resources 2014-06-10 00:01:41.072 32223 AUDIT nova.compute.resource_tracker [-] Free ram (MB): 2861 2014-06-10 00:01:41.072 32223 AUDIT nova.compute.resource_tracker [-] Free disk (GB): 146 2014-06-10 00:01:41.073 32223 AUDIT nova.compute.resource_tracker [-] Free VCPUS: 1 2014-06-10 00:01:41.262 32223 INFO nova.compute.resource_tracker [-] Compute_service record updated for node5:node5.maas ... Can't seem to find any entries in quantum.conf related to "legacy". Any help would be appreciated. Cheers,

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    Watch the latest Virtual Compute Appliance videos to aid your conversations with partners and customers! Virtual Compute Appliance Flash demo shows your customers and partners the business benefits. VCA Product demo. Tier1 Customer Testimonial Video of using Oracle's Virtual Compute Appliance to build a private cloud virtualization platform to host its customers’ Oracle Enterprise and Windows applications. Centroid Partner Testimonial Video.

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  • Juju Ceilometer-Agent is not reporting about nova-compute

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    I have deployed both ceilometer and ceilometer-agent and added relationship between them. After deployment I can see the resource usage for network(neutron), glance, cinder but I cannot see the information for nova-compute. But it is instructed that ceilometer-agent should deployed in every compute node but with juju its not possible to deploy it on specific compute node. Thanks in advance for your help.

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  • Got Bus error (core dumped) when run the nova-compute from nova user

    - by Lafada
    I got error when I try to restart the nova-compute service on my compute node. [root@mycompute ~]# service nova-compute restart Stopping OpenStack Nova Compute Worker: [ OK ] Starting OpenStack Nova Compute Worker: [FAILED] I check in the log file /var/log/nova/nova-compute.log but nothing is logged in that file. Then I try to run the command with nova user. [root@mycompute ~]# su -s/bin/bash nova bash-4.1$ /usr/bin/nova-compute Bus error (core dumped) I check for this error on net but didn't get the link to where to check for this error.

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  • Compute data between record of SQL database within Visual Studio

    - by Carl
    Hello, I am attempting to calculate the miles per gallon for logged fuel full-ups. My table consists of the flowing: FillUp(CarID, Date, ODReading, Gallons, StopGo, Highway, FillupID, MPG) I want to subtract the ODReading from the previous record and divide gallons by this computed value. How do I work between records to achieve this within Visual Studio 2008's column properties (formula) section? Thanks much, Carl

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    - by TravisG
    With the availability of compute shaders for both DirectX and OpenGL it's now possible to implement many algorithms without going through the rasterization pipeline and instead use general purpose computing on the GPU to solve the problem. For some algorithms this seems to become the intuitive canonical solution because they're inherently not rasterization based, and rasterization-based shaders seemed to be a workaround to harness GPU power (simple example: creating a noise texture. No quad needs to be rasterized here). Given an algorithm that can be implemented both ways, are there general (potential) performance benefits over using compute shaders vs. going the normal route? Are there drawbacks that we should watch out for (for example, is there some kind of unusual overhead to switching from/to compute shaders at runtime)? Are there perhaps other benefits or drawbacks to consider when choosing between the two?

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  • Microsoft Cuts Windows Azure Compute and Storage Pricing

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  • Oracle Virtual Compute Appliance (OVCA) Launch Channel Update Webcast - May 28

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    Join us for an Oracle Virtual Compute Appliance (OVCA) launch update for the channel.This training webcast is a follow up to the OVCA launch on April 16. We will provide a brief product overview of OVCA followed by some great OPN program content, resell criteria, OPN Incentive Program and Demo Equipment Program details. There will be two sessions to accommodate each region. Additionally, don't miss the latest Oracle Virtual Compute Appliance article packed with great information!

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  • Oracle Virtual Compute Appliance Launch Channel Update Webcast - May 28

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    Join us for an Oracle Virtual Compute Appliance (OVCA) launch update for the channel. This training webcast is a follow up to the OVCA launch on April 16. We will provide a brief product overview of OVCA followed by some great OPN program content, resell criteria, OPN Incentive Program and Demo Equipment Program details. There will be two sessions to accommodate each region. Additionally, don’t miss the latest Oracle Virtual Compute Appliance article packed with great information!

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  • Azure Grid Computing - Worker Roles as HPC Compute Nodes

    - by JoshReuben
    Overview ·        With HPC 2008 R2 SP1 You can add Azure worker roles as compute nodes in a local Windows HPC Server cluster. ·        The subscription for Windows Azure like any other Azure Service - charged for the time that the role instances are available, as well as for the compute and storage services that are used on the nodes. ·        Win-Win ? - Azure charges the computer hour cost (according to vm size) amortized over a month – so you save on purchasing compute node hardware. Microsoft wins because you need to purchase HPC to have a local head node for managing this compute cluster grid distributed in the cloud. ·        Blob storage is used to hold input & output files of each job. I can see how Parametric Sweep HPC jobs can be supported (where the same job is run multiple times on each node against different input units), but not MPI.NET (where different HPC Job instances function as coordinated agents and conduct master-slave inter-process communication), unless Azure is somehow tunneling MPI communication through inter-WorkerRole Azure Queues. ·        this is not the end of the story for Azure Grid Computing. If MS requires you to purchase a local HPC license (and administrate it), what's to stop a 3rd party from doing this and encapsulating exposing HPC WCF Broker Service to you for managing compute nodes? If MS doesn’t  provide head node as a service, someone else will! Process ·        requires creation of a worker node template that specifies a connection to an existing subscription for Windows Azure + an availability policy for the worker nodes. ·        After worker nodes are added to the cluster, you can start them, which provisions the Windows Azure role instances, and then bring them online to run HPC cluster jobs. ·        A Windows Azure worker role instance runs a HPC compatible Azure guest operating system which runs on the VMs that host your service. The guest operating system is updated monthly. You can choose to upgrade the guest OS for your service automatically each time an update is released - All role instances defined by your service will run on the guest operating system version that you specify. see Windows Azure Guest OS Releases and SDK Compatibility Matrix (http://go.microsoft.com/fwlink/?LinkId=190549). ·        use the hpcpack command to upload file packages and install files to run on the worker nodes. see hpcpack (http://go.microsoft.com/fwlink/?LinkID=205514). Requirements ·        assuming you have an azure subscription account and the HPC head node installed and configured. ·        Install HPC Pack 2008 R2 SP 1 -  see Microsoft HPC Pack 2008 R2 Service Pack 1 Release Notes (http://go.microsoft.com/fwlink/?LinkID=202812). ·        Configure the head node to connect to the Internet - connectivity is provided by the connection of the head node to the enterprise network. You may need to configure a proxy client on the head node. Any cluster network topology (1-5) is supported). ·        Configure the firewall - allow outbound TCP traffic on the following ports: 80,       443, 5901, 5902, 7998, 7999 ·        Note: HPC Server  uses Admin Mode (Elevated Privileges) in Windows Azure to give the service administrator of the subscription the necessary privileges to initialize HPC cluster services on the worker nodes. ·        Obtain a Windows Azure subscription certificate - the Windows Azure subscription must be configured with a public subscription (API) certificate -a valid X.509 certificate with a key size of at least 2048 bits. Generate a self-sign certificate & upload a .cer file to the Windows Azure Portal Account page > Manage my API Certificates link. see Using the Windows Azure Service Management API (http://go.microsoft.com/fwlink/?LinkId=205526). ·        import the certificate with an associated private key on the HPC cluster head node - into the trusted root store of the local computer account. Obtain Windows Azure Connection Information for HPC Server ·        required for each worker node template ·        copy from azure portal - Get from: navigation pane > Hosted Services > Storage Accounts & CDN ·        Subscription ID - a 32-char hex string in the form xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx. In Properties pane. ·        Subscription certificate thumbprint - a 40-char hex string (you need to remove spaces). In Management Certificates > Properties pane. ·        Service name - the value of <ServiceName> configured in the public URL of the service (http://<ServiceName>.cloudapp.net). In Hosted Services > Properties pane. ·        Blob Storage account name - the value of <StorageAccountName> configured in the public URL of the account (http://<StorageAccountName>.blob.core.windows.net). In Storage Accounts > Properties pane. Import the Azure Subscription Certificate on the HPC Head Node ·        enable the services for Windows HPC Server  to authenticate properly with the Windows Azure subscription. ·        use the Certificates MMC snap-in to import the certificate to the Trusted Root Certification Authorities store of the local computer account. The certificate must be in PFX format (.pfx or .p12 file) with a private key that is protected by a password. ·        see Certificates (http://go.microsoft.com/fwlink/?LinkId=163918). ·        To open the certificates snapin: Run > mmc. File > Add/Remove Snap-in > certificates > Computer account > Local Computer ·        To import the certificate via wizard - Certificates > Trusted Root Certification Authorities > Certificates > All Tasks > Import ·        After the certificate is imported, it appears in the details pane in the Certificates snap-in. You can open the certificate to check its status. Configure a Proxy Client on the HPC Head Node ·        the following Windows HPC Server services must be able to communicate over the Internet (through the firewall) with the services for Windows Azure: HPCManagement, HPCScheduler, HPCBrokerWorker. ·        Create a Windows Azure Worker Node Template ·        Edit HPC node templates in HPC Node Template Editor. ·        Specify: 1) Windows Azure subscription connection info (unique service name) for adding a set of worker nodes to the cluster + 2)worker node availability policy – rules for deploying / removing worker role instances in Windows Azure o   HPC Cluster Manager > Configuration > Navigation Pane > Node Templates > Actions pane > New à Create Node Template Wizard or Edit à Node Template Editor o   Choose Node Template Type page - Windows Azure worker node template o   Specify Template Name page – template name & description o   Provide Connection Information page – Azure Subscription ID (text) & Subscription certificate (browse) o   Provide Service Information page - Azure service name + blob storage account name (optionally click Retrieve Connection Information to get list of available from azure – possible LRT). o   Configure Azure Availability Policy page - how Windows Azure worker nodes start / stop (online / offline the worker role instance -  add / remove) – manual / automatic o   for automatic - In the Configure Windows Azure Worker Availability Policy dialog -select days and hours for worker nodes to start / stop. ·        To validate the Windows Azure connection information, on the template's Connection Information tab > Validate connection information. ·        You can upload a file package to the storage account that is specified in the template - eg upload application or service files that will run on the worker nodes. see hpcpack (http://go.microsoft.com/fwlink/?LinkID=205514). Add Azure Worker Nodes to the HPC Cluster ·        Use the Add Node Wizard – specify: 1) the worker node template, 2) The number of worker nodes   (within the quota of role instances in the azure subscription), and 3)           The VM size of the worker nodes : ExtraSmall, Small, Medium, Large, or ExtraLarge.  ·        to add worker nodes of different sizes, must run the Add Node Wizard separately for each size. ·        All worker nodes that are added to the cluster by using a specific worker node template define a set of worker nodes that will be deployed and managed together in Windows Azure when you start the nodes. This includes worker nodes that you add later by using the worker node template and, if you choose, worker nodes of different sizes. You cannot start, stop, or delete individual worker nodes. ·        To add Windows Azure worker nodes o   In HPC Cluster Manager: Node Management > Actions pane > Add Node à Add Node Wizard o   Select Deployment Method page - Add Azure Worker nodes o   Specify New Nodes page - select a worker node template, specify the number and size of the worker nodes ·        After you add worker nodes to the cluster, they are in the Not-Deployed state, and they have a health state of Unapproved. Before you can use the worker nodes to run jobs, you must start them and then bring them online. ·        Worker nodes are numbered consecutively in a naming series that begins with the root name AzureCN – this is non-configurable. Deploying Windows Azure Worker Nodes ·        To deploy the role instances in Windows Azure - start the worker nodes added to the HPC cluster and bring the nodes online so that they are available to run cluster jobs. This can be configured in the HPC Azure Worker Node Template – Azure Availability Policy -  to be automatic or manual. ·        The Start, Stop, and Delete actions take place on the set of worker nodes that are configured by a specific worker node template. You cannot perform one of these actions on a single worker node in a set. You also cannot perform a single action on two sets of worker nodes (specified by two different worker node templates). ·        ·          Starting a set of worker nodes deploys a set of worker role instances in Windows Azure, which can take some time to complete, depending on the number of worker nodes and the performance of Windows Azure. ·        To start worker nodes manually and bring them online o   In HPC Node Management > Navigation Pane > Nodes > List / Heat Map view - select one or more worker nodes. o   Actions pane > Start – in the Start Azure Worker Nodes dialog, select a node template. o   the state of the worker nodes changes from Not Deployed to track the provisioning progress – worker node Details Pane > Provisioning Log tab. o   If there were errors during the provisioning of one or more worker nodes, the state of those nodes is set to Unknown and the node health is set to Unapproved. To determine the reason for the failure, review the provisioning logs for the nodes. o   After a worker node starts successfully, the node state changes to Offline. To bring the nodes online, select the nodes that are in the Offline state > Bring Online. ·        Troubleshooting o   check node template. o   use telnet to test connectivity: telnet <ServiceName>.cloudapp.net 7999 o   check node status - Deployment status information appears in the service account information in the Windows Azure Portal - HPC queries this -  see  node status information for any failed nodes in HPC Node Management. ·        When role instances are deployed, file packages that were previously uploaded to the storage account using the hpcpack command are automatically installed. You can also upload file packages to storage after the worker nodes are started, and then manually install them on the worker nodes. see hpcpack (http://go.microsoft.com/fwlink/?LinkID=205514). ·        to remove a set of role instances in Windows Azure - stop the nodes by using HPC Cluster Manager (apply the Stop action). This deletes the role instances from the service and changes the state of the worker nodes in the HPC cluster to Not Deployed. ·        Each time that you start a set of worker nodes, two proxy role instances (size Small) are configured in Windows Azure to facilitate communication between HPC Cluster Manager and the worker nodes. The proxy role instances are not listed in HPC Cluster Manager after the worker nodes are added. However, the instances appear in the Windows Azure Portal. The proxy role instances incur charges in Windows Azure along with the worker node instances, and they count toward the quota of role instances in the subscription.

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  • Quickly compute added and removed lines

    - by Philippe Marschall
    I'm trying to compare two text files. I want to compute how many lines were added and removed. Basically what git diff --stat is doing. Bonus points for not having to store the entire file contents in memory. The approach I'm currently having in mind is: read each line of the old file compute a hash (probably MD5 or SHA-1) for each line store the hashes in a set do the same for each line in the new file every hash from the old file set that's missing in the new file set was removed every hash from the new file set that's missing in the old file set was added I'll probably want to exclude empty and all white space lines. There is a small issue with duplicated lines. This can either be solved by additionally storing how often a hash appears or comparing the number of lines in the old and new file and adjust either the added or removed lines so that the numbers add up. Do you see room for improvements or a better approach?

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  • FREE Windows Azure Platform Compute and Storage through the Cloud Essentials Pack for Partners

    - by Eric Nelson
    It can be difficult to find something to look forward to in January – but this year it was a little easier as a) I got lots of great Xbox 360 games and b) the Windows Azure Platform element of the Cloud Essentials Pack for Microsoft Partner Network partners went live. I have previously explained what the Cloud Essentials Pack is and how you can access – but at the time I couldn’t share the details of the Windows Azure Platform element. The Windows Azure Platform element is now available. It gives you each month, for FREE: Windows Azure: 750 hours of extra small compute instance 25 hours of small compute instance 3GB of storage and 250,000 storage transactions SQL Azure: 1 SQL Azure Web Edition database (5GB) Windows Azure AppFabric: App Fabric with 100,000 Access Control transactions and 2 Service Bus connections Plus: Data Transfer:  3GB in and 6GB out (More details of the offer) To activate this offer You need to: Sign your company up to Microsoft Platform Ready (NB: there are other routes to get this benefit – but I know about MPR) Read about Microsoft Platform Ready Visit http://www.microsoftcloudpartner.com/ and sign up.

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  • Writing to a structured buffer with a compute shader (D3D11)

    - by Vertexwahn
    I have some problems writing to a structured buffer. First I create a structured buffer that is filled with float values beginning from 0 to 99. Afterwards a copy the structured buffer to a CPU accessible buffer is made to print the content of the structured buffer to the console. The output is as expected (Numbers 0 to 99 appear on the console). Afterwards I use a compute shader that should change the contents of the structured buffer: RWStructuredBuffer<float> Result : register( u0 ); [numthreads(1, 1, 1)] void CS_main( uint3 GroupId : SV_GroupID ) { Result[GroupId.x] = GroupId.x * 10; } But the compute shader does not change the contents of the structured buffer. The source code can be found here (main.cpp): https://bitbucket.org/Vertexwahn/cmakedemos/src/4abb067afd5781b87a553c4c720956668adca22a/D3D11ComputeShader/src/main.cpp?at=default FillCS.hlsl: https://bitbucket.org/Vertexwahn/cmakedemos/src/4abb067afd5781b87a553c4c720956668adca22a/D3D11ComputeShader/src/FillCS.hlsl?at=default

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  • Efficiently separating Read/Compute/Write steps for concurrent processing of entities in Entity/Component systems

    - by TravisG
    Setup I have an entity-component architecture where Entities can have a set of attributes (which are pure data with no behavior) and there exist systems that run the entity logic which act on that data. Essentially, in somewhat pseudo-code: Entity { id; map<id_type, Attribute> attributes; } System { update(); vector<Entity> entities; } A system that just moves along all entities at a constant rate might be MovementSystem extends System { update() { for each entity in entities position = entity.attributes["position"]; position += vec3(1,1,1); } } Essentially, I'm trying to parallelise update() as efficiently as possible. This can be done by running entire systems in parallel, or by giving each update() of one system a couple of components so different threads can execute the update of the same system, but for a different subset of entities registered with that system. Problem In reality, these systems sometimes require that entities interact(/read/write data from/to) each other, sometimes within the same system (e.g. an AI system that reads state from other entities surrounding the current processed entity), but sometimes between different systems that depend on each other (i.e. a movement system that requires data from a system that processes user input). Now, when trying to parallelize the update phases of entity/component systems, the phases in which data (components/attributes) from Entities are read and used to compute something, and the phase where the modified data is written back to entities need to be separated in order to avoid data races. Otherwise the only way (not taking into account just "critical section"ing everything) to avoid them is to serialize parts of the update process that depend on other parts. This seems ugly. To me it would seem more elegant to be able to (ideally) have all processing running in parallel, where a system may read data from all entities as it wishes, but doesn't write modifications to that data back until some later point. The fact that this is even possible is based on the assumption that modification write-backs are usually very small in complexity, and don't require much performance, whereas computations are very expensive (relatively). So the overhead added by a delayed-write phase might be evened out by more efficient updating of entities (by having threads work more % of the time instead of waiting). A concrete example of this might be a system that updates physics. The system needs to both read and write a lot of data to and from entities. Optimally, there would be a system in place where all available threads update a subset of all entities registered with the physics system. In the case of the physics system this isn't trivially possible because of race conditions. So without a workaround, we would have to find other systems to run in parallel (which don't modify the same data as the physics system), other wise the remaining threads are waiting and wasting time. However, that has disadvantages Practically, the L3 cache is pretty much always better utilized when updating a large system with multiple threads, as opposed to multiple systems at once, which all act on different sets of data. Finding and assembling other systems to run in parallel can be extremely time consuming to design well enough to optimize performance. Sometimes, it might even not be possible at all because a system just depends on data that is touched by all other systems. Solution? In my thinking, a possible solution would be a system where reading/updating and writing of data is separated, so that in one expensive phase, systems only read data and compute what they need to compute, and then in a separate, performance-wise cheap, write phase, attributes of entities that needed to be modified are finally written back to the entities. The Question How might such a system be implemented to achieve optimal performance, as well as making programmer life easier? What are the implementation details of such a system and what might have to be changed in the existing EC-architecture to accommodate this solution?

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  • .NET access to the GPU for compute purposes

    - by Daniel Moth
    In the distant past I talked about GPGPU and Microsoft's then approach of DirectCompute. Since then of course we now have C++ AMP coming out with Visual Studio 11, so there is a mainstream easier way for developers to access the GPU for compute purposes, using C++. The question occasionally arises of how can a .NET developer access the GPU for compute purposes from their C# (or VB) code. The answer is by interoping from the managed code to a native DLL and in the native DLL use C++ AMP. As a long term .NET developer myself, I can tell you this is straightforward. Sure, there could have been a managed wrapper for C++ AMP, but honestly that is the reason we have interop – it doesn't make much sense to invest resources to solve a problem that is already solved (most developer customers would prefer investments in other areas of Visual Studio!). Besides, interoping from C# to C++ is much easier than interoping to some of the other older approaches of GPGPU programming ;-) To help you get started with the interop approach, Igor Ostrovsky has previously shared the "Hello World" version of interoping from C# to C++ AMP in his blog post: How to use C++ AMP from C# …we then were asked specifically about how to interop from C# to C++ AMP in a Metro style application on Windows 8, so Igor delivered again with this post: How to use C++ AMP from C# using WinRT Have fun! Comments about this post by Daniel Moth welcome at the original blog.

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  • NEW Marketing kit - Oracle Virtual Compute Appliance

    - by Cinzia Mascanzoni
    Oracle Virtual Compute Appliance is an engineered system that radically simplifies the way customers install, deploy, and manage converged infrastructures for any Linux, Oracle Solaris, or Microsoft Windows application. That Oracle Appliance is a new compelling topic for new 'win win deals' with your customers. Visit the OPN Portal to download the kit. The kit contains many deliverables: from marketing material (eblast, telemarketing script, landing pad) to customer facing presentations, whitepaters, cheat sheets, and enablement.

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