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  • HP D2D 4312 Bacula configuration

    - by krisdigitx
    I have configured 5 libraries on the HP D2D system Discovery on the Bacula server shows only the last library and not all libraries. Why? [root@server bacula]# iscsiadm --mode discovery --type sendtargets --portal 10.66.59.114 10.66.59.114:3260,1 iqn.1986-03.com.hp:storage.d2dbs.czj2020vvy.50014380075dca5e.library12.drive1 10.66.59.114:3260,1 iqn.1986-03.com.hp:storage.d2dbs.czj2020vvy.50014380075dcaf2.library12.robotics I can query it fine using... [root@server bacula]# mtx -f /dev/sg2 inquiry Product Type: Tape Drive Vendor ID: 'HP ' Product ID: 'Ultrium 5-SCSI ' Revision: 'ED51' Attached Changer API: No [root@bray bacula]# mtx -f /dev/sg3 inquiry Product Type: Medium Changer Vendor ID: 'HP ' Product ID: 'MSL G3 Series ' Revision: 'EL41' Attached Changer API: No [root@server bacula]# mtx -f /dev/sg3 status Storage Changer /dev/sg3:1 Drives, 97 Slots ( 1 Import/Export ) Data Transfer Element 0:Empty Storage Element 1:Full :VolumeTag=50507F82 Storage Element 2:Full :VolumeTag=50507F83 Storage Element 3:Full :VolumeTag=50507F84 Storage Element 4:Full :VolumeTag=50507F85 Storage Element 5:Full :VolumeTag=50507F86 Storage Element 6:Full :VolumeTag=50507F87 Storage Element 7:Full :VolumeTag=50507F88 Does anyone have any good documentation for implementing Bacula with an HP D2D tape drive for server backups, and how to allocate libraries?

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  • Exalogic 2.0.1 Tea Break Snippets - Scripting Asset Creation

    - by The Old Toxophilist
    So far in this series we have looked at creating asset within the EMOC BUI but the Exalogic 2.0.1 installation also provide the Iaas cli as an alternative to most of the common functionality available within EMOC. The IaaS cli interface provides access to the functions that are available to a user logged into the BUI with the CloudUser Role. As such not all functionality is available from the command line interface however having said that the IaaS cli provides all the functionality required to create the Assets within a specific Account (Tenure). Because these action are common and repeatable I decided to wrap the functionality within a simple script that takes a simple input file and creates the Asset. Following the Script through will show us the required steps needed to create the various Assets within an Account and hence I will work through the various functions within the script below describing the steps. You will note from the various steps within the script that it is designed to pause between actions allowing the proceeding action to complete. The reason for this is because we could swamp EMOC with a series of actions and may end up with a situation where we are trying to action a Volume attached before the creation of the vServer and Volume have completed. processAssets() This function simply reads through the passed input file identifying what assets need to be created. An example of the input file can be found below. It can be seen that the input file can be used to create Assets in multiple Accounts during a single run. The order of the entries define the functions that need to be actioned as follows: Input Command Iaas Actions Parameters Production:Connect akm-describe-accounts akm-create-access-key iaas-create-key-pair iaas-describe-vnets iaas-describe-vserver-types iaas-describe-server-templates Username Password Production:Create|vServer iaas-run-vserver vServer Name vServer Type Name Template Name Comma separated list of network names which the vServer will connect to. Comma separated list of IPs for the specified networks. Production:Create|Volume iaas-create-volume Volume Name Volume Size Production:Attach|Volume iaas-attach-volumes-to-vserver vServer Name Comma separated list of volume names Production:Disconnect iaas-delete-key-pair akm-delete-access-key None connectToAccount() It can be seen from the connectToAccount function that before we can execute any Asset creation we must first connect to the appropriate account. To do this we will need the ID associated with the Account. This can be found by executing the akm-describe-accounts cli command which will return a list of all Accounts and there IDs. Once we have the Account ID we generate and Access key using the akm-create-access-key command and then a keypair with the iaas-create-key-pair command. At this point we now have all the information we need to access the specific named account. createVServer() This function simply retrieved the information from the input line and then will create the vServer using the iaas-run-vserver cli command. Reading the function you will notice that it takes the various input names for vServer Type, Template and Networks and converts them into the appropriate IDs. The IaaS cli will not work directly with component names and hence all IDs need to be found. createVolume() Function that simply takes the Volume name and Size then executes the iaas-create-volume command to create the volume. attachVolume() Takes the name of the Volume, which we may have just created, and a Volume then identifies the appropriate IDs before assigning the Volume to the vServer with the iaas-attach-volumes-to-vserver. disconnectFromAccount() Once we have finished connecting to the Account we simply remove the key pair with iaas-delete-key-pair and the access key with akm-delete-access-key although it may be useful to keep this if ssh is required and you do not subsequently modify the sshd information to allow unsecured access. By default the key is required for ssh access when a vServer is created from the command-line. CreateAssets.sh 1 export OCCLI=/opt/sun/occli/bin 2 export IAAS_HOME=/opt/oracle/iaas/cli 3 export JAVA_HOME=/usr/java/latest 4 export IAAS_BASE_URL=https://127.0.0.1 5 export IAAS_ACCESS_KEY_FILE=iaas_access.key 6 export KEY_FILE=iaas_access.pub 7 #CloudUser used to create vServers & Volumes 8 export IAAS_USER=exaprod 9 export IAAS_PASSWORD_FILE=root.pwd 10 export KEY_NAME=cli.recreate 11 export INPUT_FILE=CreateAssets.in 12 13 export ACCOUNTS_FILE=accounts.out 14 export VOLUMES_FILE=volumes.out 15 export DISTGRPS_FILE=distgrp.out 16 export VNETS_FILE=vnets.out 17 export VSERVER_TYPES_FILE=vstype.out 18 export VSERVER_FILE=vserver.out 19 export VSERVER_TEMPLATES=template.out 20 export KEY_PAIRS=keypairs.out 21 22 PROCESSING_ACCOUNT="" 23 24 function cleanTempFiles() { 25 rm -f $ACCOUNTS_FILE $VOLUMES_FILE $DISTGRPS_FILE $VNETS_FILE $VSERVER_TYPES_FILE $VSERVER_FILE $VSERVER_TEMPLATES $KEY_PAIRS $IAAS_PASSWORD_FILE $KEY_FILE $IAAS_ACCESS_KEY_FILE 26 } 27 28 function connectToAccount() { 29 if [[ "$ACCOUNT" != "$PROCESSING_ACCOUNT" ]] 30 then 31 if [[ "" != "$PROCESSING_ACCOUNT" ]] 32 then 33 $IAAS_HOME/bin/iaas-delete-key-pair --key-name $KEY_NAME --access-key-file $IAAS_ACCESS_KEY_FILE 34 $IAAS_HOME/bin/akm-delete-access-key $AK 35 fi 36 PROCESSING_ACCOUNT=$ACCOUNT 37 IAAS_USER=$ACCOUNT_USER 38 echo "$ACCOUNT_PASSWORD" > $IAAS_PASSWORD_FILE 39 $IAAS_HOME/bin/akm-describe-accounts --sep "|" > $ACCOUNTS_FILE 40 while read line 41 do 42 ACCOUNT_ID=${line%%|*} 43 line=${line#*|} 44 ACCOUNT_NAME=${line%%|*} 45 # echo "Id = $ACCOUNT_ID" 46 # echo "Name = $ACCOUNT_NAME" 47 if [[ "$ACCOUNT_NAME" == "$ACCOUNT" ]] 48 then 49 echo "Found Production Account $line" 50 AK=`$IAAS_HOME/bin/akm-create-access-key --account $ACCOUNT_ID --access-key-file $IAAS_ACCESS_KEY_FILE` 51 KEYPAIR=`$IAAS_HOME/bin/iaas-create-key-pair --key-name $KEY_NAME --key-file $KEY_FILE` 52 echo "Connected to $ACCOUNT_NAME" 53 break 54 fi 55 done < $ACCOUNTS_FILE 56 fi 57 } 58 59 function disconnectFromAccount() { 60 $IAAS_HOME/bin/iaas-delete-key-pair --key-name $KEY_NAME --access-key-file $IAAS_ACCESS_KEY_FILE 61 $IAAS_HOME/bin/akm-delete-access-key $AK 62 PROCESSING_ACCOUNT="" 63 } 64 65 function getNetworks() { 66 $IAAS_HOME/bin/iaas-describe-vnets --sep "|" > $VNETS_FILE 67 } 68 69 function getVSTypes() { 70 $IAAS_HOME/bin/iaas-describe-vserver-types --sep "|" > $VSERVER_TYPES_FILE 71 } 72 73 function getTemplates() { 74 $IAAS_HOME/bin/iaas-describe-server-templates --sep "|" > $VSERVER_TEMPLATES 75 } 76 77 function getVolumes() { 78 $IAAS_HOME/bin/iaas-describe-volumes --sep "|" > $VOLUMES_FILE 79 } 80 81 function getVServers() { 82 $IAAS_HOME/bin/iaas-describe-vservers --sep "|" > $VSERVER_FILE 83 } 84 85 function getNetworkId() { 86 while read line 87 do 88 NETWORK_ID=${line%%|*} 89 line=${line#*|} 90 NAME=${line%%|*} 91 if [[ "$NAME" == "$NETWORK_NAME" ]] 92 then 93 break 94 fi 95 done < $VNETS_FILE 96 } 97 98 function getVSTypeId() { 99 while read line 100 do 101 VSTYPE_ID=${line%%|*} 102 line=${line#*|} 103 NAME=${line%%|*} 104 if [[ "$VSTYPE_NAME" == "$NAME" ]] 105 then 106 break 107 fi 108 done < $VSERVER_TYPES_FILE 109 } 110 111 function getTemplateId() { 112 while read line 113 do 114 TEMPLATE_ID=${line%%|*} 115 line=${line#*|} 116 NAME=${line%%|*} 117 if [[ "$TEMPLATE_NAME" == "$NAME" ]] 118 then 119 break 120 fi 121 done < $VSERVER_TEMPLATES 122 } 123 124 function getVolumeId() { 125 while read line 126 do 127 export VOLUME_ID=${line%%|*} 128 line=${line#*|} 129 NAME=${line%%|*} 130 if [[ "$NAME" == "$VOLUME_NAME" ]] 131 then 132 break; 133 fi 134 done < $VOLUMES_FILE 135 } 136 137 function getVServerId() { 138 while read line 139 do 140 VSERVER_ID=${line%%|*} 141 line=${line#*|} 142 NAME=${line%%|*} 143 if [[ "$VSERVER_NAME" == "$NAME" ]] 144 then 145 break; 146 fi 147 done < $VSERVER_FILE 148 } 149 150 function getVServerState() { 151 getVServers 152 while read line 153 do 154 VSERVER_ID=${line%%|*} 155 line=${line#*|} 156 NAME=${line%%|*} 157 line=${line#*|} 158 line=${line#*|} 159 VSERVER_STATE=${line%%|*} 160 if [[ "$VSERVER_NAME" == "$NAME" ]] 161 then 162 break; 163 fi 164 done < $VSERVER_FILE 165 } 166 167 function pauseUntilVServerRunning() { 168 # Wait until the Server is running before creating the next 169 getVServerState 170 while [[ "$VSERVER_STATE" != "RUNNING" ]] 171 do 172 getVServerState 173 echo "$NAME $VSERVER_STATE" 174 if [[ "$VSERVER_STATE" != "RUNNING" ]] 175 then 176 echo "Sleeping......." 177 sleep 60 178 fi 179 if [[ "$VSERVER_STATE" == "FAILED" ]] 180 then 181 echo "Will Delete $NAME in 5 Minutes....." 182 sleep 300 183 deleteVServer 184 echo "Deleted $NAME waiting 5 Minutes....." 185 sleep 300 186 break 187 fi 188 done 189 # Lets pause for a minute or two 190 echo "Just Chilling......" 191 sleep 60 192 echo "Ahhhhh we're getting there......." 193 sleep 60 194 echo "I'm almost at one with the universe......." 195 sleep 60 196 echo "Bong Reality Check !" 197 } 198 199 function deleteVServer() { 200 $IAAS_HOME/bin/iaas-terminate-vservers --force --vserver-ids $VSERVER_ID 201 } 202 203 function createVServer() { 204 VSERVER_NAME=${ASSET_DETAILS%%|*} 205 ASSET_DETAILS=${ASSET_DETAILS#*|} 206 VSTYPE_NAME=${ASSET_DETAILS%%|*} 207 ASSET_DETAILS=${ASSET_DETAILS#*|} 208 TEMPLATE_NAME=${ASSET_DETAILS%%|*} 209 ASSET_DETAILS=${ASSET_DETAILS#*|} 210 NETWORK_NAMES=${ASSET_DETAILS%%|*} 211 ASSET_DETAILS=${ASSET_DETAILS#*|} 212 IP_ADDRESSES=${ASSET_DETAILS%%|*} 213 # Get Ids associated with names 214 getVSTypeId 215 getTemplateId 216 # Convert Network Names to Ids 217 NETWORK_IDS="" 218 while true 219 do 220 NETWORK_NAME=${NETWORK_NAMES%%,*} 221 NETWORK_NAMES=${NETWORK_NAMES#*,} 222 getNetworkId 223 if [[ "$NETWORK_IDS" != "" ]] 224 then 225 NETWORK_IDS="$NETWORK_IDS,$NETWORK_ID" 226 else 227 NETWORK_IDS=$NETWORK_ID 228 fi 229 if [[ "$NETWORK_NAME" == "$NETWORK_NAMES" ]] 230 then 231 break 232 fi 233 done 234 # Create vServer 235 echo "About to execute : $IAAS_HOME/bin/iaas-run-vserver --name $VSERVER_NAME --key-name $KEY_NAME --vserver-type $VSTYPE_ID --server-template-id $TEMPLATE_ID --vnets $NETWORK_IDS --ip-addresses $IP_ADDRESSES" 236 $IAAS_HOME/bin/iaas-run-vserver --name $VSERVER_NAME --key-name $KEY_NAME --vserver-type $VSTYPE_ID --server-template-id $TEMPLATE_ID --vnets $NETWORK_IDS --ip-addresses $IP_ADDRESSES 237 pauseUntilVServerRunning 238 } 239 240 function createVolume() { 241 VOLUME_NAME=${ASSET_DETAILS%%|*} 242 ASSET_DETAILS=${ASSET_DETAILS#*|} 243 VOLUME_SIZE=${ASSET_DETAILS%%|*} 244 # Create Volume 245 echo "About to execute : $IAAS_HOME/bin/iaas-create-volume --name $VOLUME_NAME --size $VOLUME_SIZE" 246 $IAAS_HOME/bin/iaas-create-volume --name $VOLUME_NAME --size $VOLUME_SIZE 247 # Lets pause 248 echo "Just Waiting 30 Seconds......" 249 sleep 30 250 } 251 252 function attachVolume() { 253 VSERVER_NAME=${ASSET_DETAILS%%|*} 254 ASSET_DETAILS=${ASSET_DETAILS#*|} 255 VOLUME_NAMES=${ASSET_DETAILS%%|*} 256 # Get vServer Id 257 getVServerId 258 # Convert Volume Names to Ids 259 VOLUME_IDS="" 260 while true 261 do 262 VOLUME_NAME=${VOLUME_NAMES%%,*} 263 VOLUME_NAMES=${VOLUME_NAMES#*,} 264 getVolumeId 265 if [[ "$VOLUME_IDS" != "" ]] 266 then 267 VOLUME_IDS="$VOLUME_IDS,$VOLUME_ID" 268 else 269 VOLUME_IDS=$VOLUME_ID 270 fi 271 if [[ "$VOLUME_NAME" == "$VOLUME_NAMES" ]] 272 then 273 break 274 fi 275 done 276 # Attach Volumes 277 echo "About to execute : $IAAS_HOME/bin/iaas-attach-volumes-to-vserver --vserver-id $VSERVER_ID --volume-ids $VOLUME_IDS" 278 $IAAS_HOME/bin/iaas-attach-volumes-to-vserver --vserver-id $VSERVER_ID --volume-ids $VOLUME_IDS 279 # Lets pause 280 echo "Just Waiting 30 Seconds......" 281 sleep 30 282 } 283 284 function processAssets() { 285 while read line 286 do 287 ACCOUNT=${line%%:*} 288 line=${line#*:} 289 ACTION=${line%%|*} 290 line=${line#*|} 291 if [[ "$ACTION" == "Connect" ]] 292 then 293 ACCOUNT_USER=${line%%|*} 294 line=${line#*|} 295 ACCOUNT_PASSWORD=${line%%|*} 296 connectToAccount 297 298 ## Account Info 299 getNetworks 300 getVSTypes 301 getTemplates 302 303 continue 304 fi 305 if [[ "$ACTION" == "Create" ]] 306 then 307 ASSET=${line%%|*} 308 line=${line#*|} 309 ASSET_DETAILS=$line 310 if [[ "$ASSET" == "vServer" ]] 311 then 312 createVServer 313 314 continue 315 fi 316 if [[ "$ASSET" == "Volume" ]] 317 then 318 createVolume 319 320 continue 321 fi 322 fi 323 if [[ "$ACTION" == "Attach" ]] 324 then 325 ASSET=${line%%|*} 326 line=${line#*|} 327 ASSET_DETAILS=$line 328 if [[ "$ASSET" == "Volume" ]] 329 then 330 getVolumes 331 getVServers 332 attachVolume 333 334 continue 335 fi 336 fi 337 if [[ "$ACTION" == "Connect" ]] 338 then 339 disconnectFromAccount 340 341 continue 342 fi 343 done < $INPUT_FILE 344 } 345 346 # Should Parameterise this 347 348 while [ $# -gt 0 ] 349 do 350 case "$1" in 351 -a) INPUT_FILE="$2"; shift;; 352 *) echo ""; echo >&2 \ 353 "usage: $0 [-a <Asset Definition File>] (Default is CreateAssets.in)" 354 echo""; exit 1;; 355 *) break;; 356 esac 357 shift 358 done 359 360 361 362 363 processAssets 364 365 echo "**************************************" 366 echo "***** Finished Creating Assets *****" 367 echo "**************************************" 368 CreateAssetsProd.in Production:Connect|exaprod|welcome1 Production:Create|vServer|VS006|VSTProduction|BaseOEL56ServerTemplate|EoIB-otd-prod,vn-prod-web,IPoIB-default,IPoIB-vserver-shared-storage|10.51.223.13,192.168.0.13,10.117.81.67,172.17.0.14 Production:Create|vServer|VS007|VSTProduction|BaseOEL56ServerTemplate|EoIB-otd-prod,vn-prod-web,IPoIB-default,IPoIB-vserver-shared-storage|10.51.223.14,192.168.0.14,10.117.81.68,172.17.0.15 Production:Create|vServer|VS008|VSTProduction|BaseOEL56ServerTemplate|EoIB-wls-prod,vn-prod-web,IPoIB-default,IPoIB-vserver-shared-storage|10.51.225.61,192.168.0.61,10.117.81.61,172.17.0.16 Production:Create|vServer|VS009|VSTProduction|BaseOEL56ServerTemplate|EoIB-wls-prod,vn-prod-web,IPoIB-default,IPoIB-vserver-shared-storage|10.51.225.62,192.168.0.62,10.117.81.62,172.17.0.17 Production:Create|vServer|VS000|VSTProduction|BaseOEL56ServerTemplate|EoIB-wls-prod,vn-prod-web,IPoIB-default,IPoIB-vserver-shared-storage|10.51.225.63,192.168.0.63,10.117.81.63,172.17.0.18 Production:Create|vServer|VS001|VSTProduction|BaseOEL56ServerTemplate|EoIB-wls-prod,vn-prod-web,IPoIB-default,IPoIB-vserver-shared-storage|10.51.225.64,192.168.0.64,10.117.81.64,172.17.0.19 Production:Create|vServer|VS002|VSTProduction|BaseOEL56ServerTemplate|EoIB-wls-prod,vn-prod-web,IPoIB-default,IPoIB-vserver-shared-storage|10.51.225.65,192.168.0.65,10.117.81.65,172.17.0.20 Production:Create|vServer|VS003|VSTProduction|BaseOEL56ServerTemplate|EoIB-wls-prod,vn-prod-web,IPoIB-default,IPoIB-vserver-shared-storage|10.51.225.66,192.168.0.66,10.117.81.66,172.17.0.21 Production:Create|Volume|VS006|50 Production:Create|Volume|VS007|50 Production:Create|Volume|VS008|50 Production:Create|Volume|VS009|50 Production:Create|Volume|VS000|50 Production:Create|Volume|VS001|50 Production:Create|Volume|VS002|50 Production:Create|Volume|VS003|50 Production:Attach|Volume|VS006|VS006 Production:Attach|Volume|VS007|VS007 Production:Attach|Volume|VS008|VS008 Production:Attach|Volume|VS009|VS009 Production:Attach|Volume|VS000|VS000 Production:Attach|Volume|VS001|VS001 Production:Attach|Volume|VS002|VS002 Production:Attach|Volume|VS003|VS003 Production:Disconnect Development:Connect|exadev|welcome1 Development:Create|vServer|VS014|VSTDevelopment|BaseOEL56ServerTemplate|EoIB-development,IPoIB-default,IPoIB-vserver-shared-storage|10.51.224.24,10.117.81.71,172.17.0.24 Development:Create|vServer|VS015|VSTDevelopment|BaseOEL56ServerTemplate|EoIB-development,IPoIB-default,IPoIB-vserver-shared-storage|10.51.224.25,10.117.81.72,172.17.0.25 Development:Create|vServer|VS016|VSTDevelopment|BaseOEL56ServerTemplate|EoIB-development,IPoIB-default,IPoIB-vserver-shared-storage|10.51.224.26,10.117.81.73,172.17.0.26 Development:Create|vServer|VS017|VSTDevelopment|BaseOEL56ServerTemplate|EoIB-development,IPoIB-default,IPoIB-vserver-shared-storage|10.51.224.27,10.117.81.74,172.17.0.27 Development:Create|vServer|VS018|VSTDevelopment|BaseOEL56ServerTemplate|EoIB-development,IPoIB-default,IPoIB-vserver-shared-storage|10.51.224.28,10.117.81.75,172.17.0.28 Development:Create|vServer|VS019|VSTDevelopment|BaseOEL56ServerTemplate|EoIB-development,IPoIB-default,IPoIB-vserver-shared-storage|10.51.224.29,10.117.81.76,172.17.0.29 Development:Create|vServer|VS020|VSTDevelopment|BaseOEL56ServerTemplate|EoIB-development,IPoIB-default,IPoIB-vserver-shared-storage|10.51.224.30,10.117.81.77,172.17.0.30 Development:Create|vServer|VS021|VSTDevelopment|BaseOEL56ServerTemplate|EoIB-development,IPoIB-default,IPoIB-vserver-shared-storage|10.51.224.31,10.117.81.78,172.17.0.31 Development:Create|vServer|VS022|VSTDevelopment|BaseOEL56ServerTemplate|EoIB-development,IPoIB-default,IPoIB-vserver-shared-storage|10.51.224.32,10.117.81.79,172.17.0.32 Development:Create|vServer|VS023|VSTDevelopment|BaseOEL56ServerTemplate|EoIB-development,IPoIB-default,IPoIB-vserver-shared-storage|10.51.224.33,10.117.81.80,172.17.0.33 Development:Create|vServer|VS024|VSTDevelopment|BaseOEL56ServerTemplate|EoIB-development,IPoIB-default,IPoIB-vserver-shared-storage|10.51.224.34,10.117.81.81,172.17.0.34 Development:Create|vServer|VS025|VSTDevelopment|BaseOEL56ServerTemplate|EoIB-development,IPoIB-default,IPoIB-vserver-shared-storage|10.51.224.35,10.117.81.82,172.17.0.35 Development:Create|vServer|VS026|VSTDevelopment|BaseOEL56ServerTemplate|EoIB-development,IPoIB-default,IPoIB-vserver-shared-storage|10.51.224.36,10.117.81.83,172.17.0.36 Development:Create|vServer|VS027|VSTDevelopment|BaseOEL56ServerTemplate|EoIB-development,IPoIB-default,IPoIB-vserver-shared-storage|10.51.224.37,10.117.81.84,172.17.0.37 Development:Create|Volume|VS014|50 Development:Create|Volume|VS015|50 Development:Create|Volume|VS016|50 Development:Create|Volume|VS017|50 Development:Create|Volume|VS018|50 Development:Create|Volume|VS019|50 Development:Create|Volume|VS020|50 Development:Create|Volume|VS021|50 Development:Create|Volume|VS022|50 Development:Create|Volume|VS023|50 Development:Create|Volume|VS024|50 Development:Create|Volume|VS025|50 Development:Create|Volume|VS026|50 Development:Create|Volume|VS027|50 Development:Attach|Volume|VS014|VS014 Development:Attach|Volume|VS015|VS015 Development:Attach|Volume|VS016|VS016 Development:Attach|Volume|VS017|VS017 Development:Attach|Volume|VS018|VS018 Development:Attach|Volume|VS019|VS019 Development:Attach|Volume|VS020|VS020 Development:Attach|Volume|VS021|VS021 Development:Attach|Volume|VS022|VS022 Development:Attach|Volume|VS023|VS023 Development:Attach|Volume|VS024|VS024 Development:Attach|Volume|VS025|VS025 Development:Attach|Volume|VS026|VS026 Development:Attach|Volume|VS027|VS027 Development:Disconnect This entry was originally posted on the The Old Toxophilist Site.

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  • MySQL Clustering in a Sandbox

    MySQL's unique architecture allows for plugin storage engines. There is the MyISAM storage engine, the ARCHIVE storage engine and the InnoDB storage engine; so it makes sense then that MySQL's clustering solution involves a storage engine as well, namely the NDB (Network DataBase) storage engine.

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  • SPARC T4-4 Beats 8-CPU IBM POWER7 on TPC-H @3000GB Benchmark

    - by Brian
    Oracle's SPARC T4-4 server delivered a world record TPC-H @3000GB benchmark result for systems with four processors. This result beats eight processor results from IBM (POWER7) and HP (x86). The SPARC T4-4 server also delivered better performance per core than these eight processor systems from IBM and HP. Comparisons below are based upon system to system comparisons, highlighting Oracle's complete software and hardware solution. This database world record result used Oracle's Sun Storage 2540-M2 arrays (rotating disk) connected to a SPARC T4-4 server running Oracle Solaris 11 and Oracle Database 11g Release 2 demonstrating the power of Oracle's integrated hardware and software solution. The SPARC T4-4 server based configuration achieved a TPC-H scale factor 3000 world record for four processor systems of 205,792 QphH@3000GB with price/performance of $4.10/QphH@3000GB. The SPARC T4-4 server with four SPARC T4 processors (total of 32 cores) is 7% faster than the IBM Power 780 server with eight POWER7 processors (total of 32 cores) on the TPC-H @3000GB benchmark. The SPARC T4-4 server is 36% better in price performance compared to the IBM Power 780 server on the TPC-H @3000GB Benchmark. The SPARC T4-4 server is 29% faster than the IBM Power 780 for data loading. The SPARC T4-4 server is up to 3.4 times faster than the IBM Power 780 server for the Refresh Function. The SPARC T4-4 server with four SPARC T4 processors is 27% faster than the HP ProLiant DL980 G7 server with eight x86 processors on the TPC-H @3000GB benchmark. The SPARC T4-4 server is 52% faster than the HP ProLiant DL980 G7 server for data loading. The SPARC T4-4 server is up to 3.2 times faster than the HP ProLiant DL980 G7 for the Refresh Function. The SPARC T4-4 server achieved a peak IO rate from the Oracle database of 17 GB/sec. This rate was independent of the storage used, as demonstrated by the TPC-H @3000TB benchmark which used twelve Sun Storage 2540-M2 arrays (rotating disk) and the TPC-H @1000TB benchmark which used four Sun Storage F5100 Flash Array devices (flash storage). [*] The SPARC T4-4 server showed linear scaling from TPC-H @1000GB to TPC-H @3000GB. This demonstrates that the SPARC T4-4 server can handle the increasingly larger databases required of DSS systems. [*] The SPARC T4-4 server benchmark results demonstrate a complete solution of building Decision Support Systems including data loading, business questions and refreshing data. Each phase usually has a time constraint and the SPARC T4-4 server shows superior performance during each phase. [*] The TPC believes that comparisons of results published with different scale factors are misleading and discourages such comparisons. Performance Landscape The table lists the leading TPC-H @3000GB results for non-clustered systems. TPC-H @3000GB, Non-Clustered Systems System Processor P/C/T – Memory Composite(QphH) $/perf($/QphH) Power(QppH) Throughput(QthH) Database Available SPARC Enterprise M9000 3.0 GHz SPARC64 VII+ 64/256/256 – 1024 GB 386,478.3 $18.19 316,835.8 471,428.6 Oracle 11g R2 09/22/11 SPARC T4-4 3.0 GHz SPARC T4 4/32/256 – 1024 GB 205,792.0 $4.10 190,325.1 222,515.9 Oracle 11g R2 05/31/12 SPARC Enterprise M9000 2.88 GHz SPARC64 VII 32/128/256 – 512 GB 198,907.5 $15.27 182,350.7 216,967.7 Oracle 11g R2 12/09/10 IBM Power 780 4.1 GHz POWER7 8/32/128 – 1024 GB 192,001.1 $6.37 210,368.4 175,237.4 Sybase 15.4 11/30/11 HP ProLiant DL980 G7 2.27 GHz Intel Xeon X7560 8/64/128 – 512 GB 162,601.7 $2.68 185,297.7 142,685.6 SQL Server 2008 10/13/10 P/C/T = Processors, Cores, Threads QphH = the Composite Metric (bigger is better) $/QphH = the Price/Performance metric in USD (smaller is better) QppH = the Power Numerical Quantity QthH = the Throughput Numerical Quantity The following table lists data load times and refresh function times during the power run. TPC-H @3000GB, Non-Clustered Systems Database Load & Database Refresh System Processor Data Loading(h:m:s) T4Advan RF1(sec) T4Advan RF2(sec) T4Advan SPARC T4-4 3.0 GHz SPARC T4 04:08:29 1.0x 67.1 1.0x 39.5 1.0x IBM Power 780 4.1 GHz POWER7 05:51:50 1.5x 147.3 2.2x 133.2 3.4x HP ProLiant DL980 G7 2.27 GHz Intel Xeon X7560 08:35:17 2.1x 173.0 2.6x 126.3 3.2x Data Loading = database load time RF1 = power test first refresh transaction RF2 = power test second refresh transaction T4 Advan = the ratio of time to T4 time Complete benchmark results found at the TPC benchmark website http://www.tpc.org. Configuration Summary and Results Hardware Configuration: SPARC T4-4 server 4 x SPARC T4 3.0 GHz processors (total of 32 cores, 128 threads) 1024 GB memory 8 x internal SAS (8 x 300 GB) disk drives External Storage: 12 x Sun Storage 2540-M2 array storage, each with 12 x 15K RPM 300 GB drives, 2 controllers, 2 GB cache Software Configuration: Oracle Solaris 11 11/11 Oracle Database 11g Release 2 Enterprise Edition Audited Results: Database Size: 3000 GB (Scale Factor 3000) TPC-H Composite: 205,792.0 QphH@3000GB Price/performance: $4.10/QphH@3000GB Available: 05/31/2012 Total 3 year Cost: $843,656 TPC-H Power: 190,325.1 TPC-H Throughput: 222,515.9 Database Load Time: 4:08:29 Benchmark Description The TPC-H benchmark is a performance benchmark established by the Transaction Processing Council (TPC) to demonstrate Data Warehousing/Decision Support Systems (DSS). TPC-H measurements are produced for customers to evaluate the performance of various DSS systems. These queries and updates are executed against a standard database under controlled conditions. Performance projections and comparisons between different TPC-H Database sizes (100GB, 300GB, 1000GB, 3000GB, 10000GB, 30000GB and 100000GB) are not allowed by the TPC. TPC-H is a data warehousing-oriented, non-industry-specific benchmark that consists of a large number of complex queries typical of decision support applications. It also includes some insert and delete activity that is intended to simulate loading and purging data from a warehouse. TPC-H measures the combined performance of a particular database manager on a specific computer system. The main performance metric reported by TPC-H is called the TPC-H Composite Query-per-Hour Performance Metric (QphH@SF, where SF is the number of GB of raw data, referred to as the scale factor). QphH@SF is intended to summarize the ability of the system to process queries in both single and multiple user modes. The benchmark requires reporting of price/performance, which is the ratio of the total HW/SW cost plus 3 years maintenance to the QphH. A secondary metric is the storage efficiency, which is the ratio of total configured disk space in GB to the scale factor. Key Points and Best Practices Twelve Sun Storage 2540-M2 arrays were used for the benchmark. Each Sun Storage 2540-M2 array contains 12 15K RPM drives and is connected to a single dual port 8Gb FC HBA using 2 ports. Each Sun Storage 2540-M2 array showed 1.5 GB/sec for sequential read operations and showed linear scaling, achieving 18 GB/sec with twelve Sun Storage 2540-M2 arrays. These were stand alone IO tests. The peak IO rate measured from the Oracle database was 17 GB/sec. Oracle Solaris 11 11/11 required very little system tuning. Some vendors try to make the point that storage ratios are of customer concern. However, storage ratio size has more to do with disk layout and the increasing capacities of disks – so this is not an important metric in which to compare systems. The SPARC T4-4 server and Oracle Solaris efficiently managed the system load of over one thousand Oracle Database parallel processes. Six Sun Storage 2540-M2 arrays were mirrored to another six Sun Storage 2540-M2 arrays on which all of the Oracle database files were placed. IO performance was high and balanced across all the arrays. The TPC-H Refresh Function (RF) simulates periodical refresh portion of Data Warehouse by adding new sales and deleting old sales data. Parallel DML (parallel insert and delete in this case) and database log performance are a key for this function and the SPARC T4-4 server outperformed both the IBM POWER7 server and HP ProLiant DL980 G7 server. (See the RF columns above.) See Also Transaction Processing Performance Council (TPC) Home Page Ideas International Benchmark Page SPARC T4-4 Server oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Sun Storage 2540-M2 Array oracle.com OTN Disclosure Statement TPC-H, QphH, $/QphH are trademarks of Transaction Processing Performance Council (TPC). For more information, see www.tpc.org. SPARC T4-4 205,792.0 QphH@3000GB, $4.10/QphH@3000GB, available 5/31/12, 4 processors, 32 cores, 256 threads; IBM Power 780 QphH@3000GB, 192,001.1 QphH@3000GB, $6.37/QphH@3000GB, available 11/30/11, 8 processors, 32 cores, 128 threads; HP ProLiant DL980 G7 162,601.7 QphH@3000GB, $2.68/QphH@3000GB available 10/13/10, 8 processors, 64 cores, 128 threads.

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  • Sun Grid Engine: Automatically Terminating Idle Interactive Jobs

    - by dmcer
    We're considering using Sun Grid Engine on a small compute cluster. Right now, the current set up is pretty crude and just involves having people ssh to an open machine to run their jobs. We'd like to allow interactive jobs, since that should ease the transition from manually starting jobs to starting them using qsub. But, there is some concern that, if we do, people might accidentally leave their interactive sessions idle and block other jobs from being run on the machines. The issue isn't just theoretical, since we previously tried using OpenPBS and there was a problem with people opening up an interactive job in a screen session and essentially camping on a machine. Is there anyway to configure SGE to automatically kill idle interactive jobs? It looks like this was requested as an enhancement (Issue #:2447) way back in 2007. But, it doesn't seem like the request ever got implemented.

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  • Most mature ASP.NET MVC Blog Engine?

    - by Tony_Henrich
    What's the best ASP.NET MVC based blog engine out there which is ready to deploy? I am guessing there are no MVC blog engines which are comparable with WebForms based blog engines like dasBlog, BlogEngine and subText? I think Oxite is a dead end and Orchid is more like a CMS. Looking for an engine which can do these: - RSS feeds support - anti comment spam functionality like support for Akismet - comment post approval support - Some kind of theming is possible

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  • Google I/O 2010 - ?Run corp apps on App Engine? Yes we do.

    Google I/O 2010 - ​Run corp apps on App Engine? Yes we do. Google I/O 2010 - ​Run corporate applications on Google App Engine? Yes we do. App Engine, Enterprise 201 Ben Fried, Irwin Boutboul, Justin McWilliams, Matthew Simmons Hear Google CIO Ben Fried and his team of engineers describe how Google builds on App Engine. If you're interested in building corp apps that run on Google's cloud, this team has been doing exactly that. Learn how these teams have been able to respond more quickly to business needs while reducing operational burden. For all I/O 2010 sessions, please go to code.google.com/events/io/2010/sessions.html From: GoogleDevelopers Views: 14 0 ratings Time: 55:53 More in Science & Technology

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  • The SPARC SuperCluster

    - by Karoly Vegh
    Oracle has been providing a lead in the Engineered Systems business for quite a while now, in accordance with the motto "Hardware and Software Engineered to Work Together." Indeed it is hard to find a better definition of these systems.  Allow me to summarize the idea. It is:  Build a compute platform optimized to run your technologies Develop application aware, intelligently caching storage components Take an impressively fast network technology interconnecting it with the compute nodes Tune the application to scale with the nodes to yet unseen performance Reduce the amount of data moving via compression Provide this all in a pre-integrated single product with a single-pane management interface All these ideas have been around in IT for quite some time now. The real Oracle advantage is adding the last one to put these all together. Oracle has built quite a portfolio of Engineered Systems, to run its technologies - and run those like they never ran before. In this post I'll focus on one of them that serves as a consolidation demigod, a multi-purpose engineered system.  As you probably have guessed, I am talking about the SPARC SuperCluster. It has many great features inherited from its predecessors, and it adds several new ones. Allow me to pick out and elaborate about some of the most interesting ones from a technological point of view.  I. It is the SPARC SuperCluster T4-4. That is, as compute nodes, it includes SPARC T4-4 servers that we learned to appreciate and respect for their features: The SPARC T4 CPUs: Each CPU has 8 cores, each core runs 8 threads. The SPARC T4-4 servers have 4 sockets. That is, a single compute node can in parallel, simultaneously  execute 256 threads. Now, a full-rack SPARC SuperCluster has 4 of these servers on board. Remember the keyword demigod.  While retaining the forerunner SPARC T3's exceptional throughput, the SPARC T4 CPUs raise the bar with single performance too - a humble 5x better one than their ancestors.  actually, the SPARC T4 CPU cores run in both single-threaded and multi-threaded mode, and switch between these two on-the-fly, fulfilling not only single-threaded OR multi-threaded applications' needs, but even mixed requirements (like in database workloads!). Data security, anyone? Every SPARC T4 CPU core has a built-in encryption engine, that is, encryption algorithms cast into silicon.  A PCI controller right on the chip for customers who need I/O performance.  Built-in, no-cost Virtualization:  Oracle VM for SPARC (the former LDoms or Logical Domains) is not a server-emulation virtualization technology but rather a serverpartitioning one, the hypervisor runs in the server firmware, and all the VMs' HW resources (I/O, CPU, memory) are accessed natively, without performance overhead.  This enables customers to run a number of Solaris 10 and Solaris 11 VMs separated, independent of each other within a physical server II. For Database performance, it includes Exadata Storage Cells - one of the main reasons why the Exadata Database Machine performs at diabolic speed. What makes them important? They provide DB backend storage for your Oracle Databases to run on the SPARC SuperCluster, that is what they are built and tuned for DB performance.  These storage cells are SQL-aware.  That is, if a SPARC T4 database compute node executes a query, it doesn't simply request tons of raw datablocks from the storage, filters the received data, and throws away most of it where the statement doesn't apply, but provides the SQL query to the storage node too. The storage cell software speaks SQL, that is, it is able to prefilter and through that transfer only the relevant data. With this, the traffic between database nodes and storage cells is reduced immensely. Less I/O is a good thing - as they say, all the CPUs of the world do one thing just as fast as any other - and that is waiting for I/O.  They don't only pre-filter, but also provide data preprocessing features - e.g. if a DB-node requests an aggregate of data, they can calculate it, and handover only the results, not the whole set. Again, less data to transfer.  They support the magical HCC, (Hybrid Columnar Compression). That is, data can be stored in a precompressed form on the storage. Less data to transfer.  Of course one can't simply rely on disks for performance, there is Flash Storage included there for caching.  III. The low latency, high-speed backbone network: InfiniBand, that interconnects all the members with: Real High Speed: 40 Gbit/s. Full Duplex, of course. Oh, and a really low latency.  RDMA. Remote Direct Memory Access. This technology allows the DB nodes to do exactly that. Remotely, directly placing SQL commands into the Memory of the storage cells. Dodging all the network-stack bottlenecks, avoiding overhead, placing requests directly into the process queue.  You can also run IP over InfiniBand if you please - that's the way the compute nodes can communicate with each other.  IV. Including a general-purpose storage too: the ZFSSA, which is a unified storage, providing NAS and SAN access too, with the following features:  NFS over RDMA over InfiniBand. Nothing is faster network-filesystem-wise.  All the ZFS features onboard, hybrid storage pools, compression, deduplication, snapshot, replication, NFS and CIFS shares Storageheads in a HA-Cluster configuration providing availability of the data  DTrace Live Analytics in a web-based Administration UI Being a general purpose application data storage for your non-database applications running on the SPARC SuperCluster over whichever protocol they prefer, easily replicating, snapshotting, cloning data for them.  There's a lot of great technology included in Oracle's SPARC SuperCluster, we have talked its interior through. As for external scalability: you can start with a half- of full- rack SPARC SuperCluster, and scale out to several racks - that is, stacking not separate full-rack SPARC SuperClusters, but extending always one large instance of the size of several full-racks. Yes, over InfiniBand network. Add racks as you grow.  What technologies shall run on it? SPARC SuperCluster is a general purpose scaleout consolidation/cloud environment. You can run Oracle Databases with RAC scaling, or Oracle Weblogic (end enjoy the SPARC T4's advantages to run Java). Remember, Oracle technologies have been integrated with the Oracle Engineered Systems - this is the Oracle on Oracle advantage. But you can run other software environments such as SAP if you please too. Run any application that runs on Oracle Solaris 10 or Solaris 11. Separate them in Virtual Machines, or even Oracle Solaris Zones, monitor and manage those from a central UI. Here the key takeaways once again: The SPARC SuperCluster: Is a pre-integrated Engineered System Contains SPARC T4-4 servers with built-in virtualization, cryptography, dynamic threading Contains the Exadata storage cells that intelligently offload the burden of the DB-nodes  Contains a highly available ZFS Storage Appliance, that provides SAN/NAS storage in a unified way Combines all these elements over a high-speed, low-latency backbone network implemented with InfiniBand Can grow from a single half-rack to several full-rack size Supports the consolidation of hundreds of applications To summarize: All these technologies are great by themselves, but the real value is like in every other Oracle Engineered System: Integration. All these technologies are tuned to perform together. Together they are way more than the sum of all - and a careful and actually very time consuming integration process is necessary to orchestrate all these for performance. The SPARC SuperCluster's goal is to enable infrastructure operations and offer a pre-integrated solution that can be architected and delivered in hours instead of months of evaluations and tests. The tedious and most importantly time and resource consuming part of the work - testing and evaluating - has been done.  Now go, provide services.   -- charlie  

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  • ublas::bounded_vector<> being resized?

    - by n2liquid
    Now, seriously... I'll refrain from using bad words here because we're talking about the Boost fellows. It MUST be my mistake to see things this way, but I can't understand why, so I'll ask it here; maybe someone can enlighten me in this matter. Here it goes: uBLAS has this nice class template called bounded_vector<> that's used to create fixed-size vectors (or so I thought). From the Effective uBLAS wiki (http://www.crystalclearsoftware.com/cgi-bin/boost_wiki/wiki.pl?Effective_UBLAS): The default uBLAS vector and matrix types are of variable size. Many linear algebra problems involve vectors with fixed size. 2 and 3 elements are common in geometry! Fixed size storage (akin to C arrays) can be implemented efficiently as it does not involve the overheads (heap management) associated with dynamic storage. uBLAS implements fixed sizes by changing the underling storage of a vector/matrix to a "bounded_array" from the default "unbounded_array". Alright, this bounded_vector<> thing is used to free you from specifying the underlying storage of the vector to a bounded_array<> of the specified size. Here I ask you: doesn't it look like this bounded vector thing has fixed size to you? Well, it doesn't have. At first I felt betrayed by the wiki, but then I reconsidered the meaning of "bounded" and I think I can let it pass. But in case you, like me (I'm still uncertain), is still wondering if this makes sense, what I found out is that the bounded_vector<> actually can be resized, it may only not be greater than the size specified as template parameter. So, first off, do you think they've had a good reason not to make a real fixed<< size vector or matrix type? Do you think it's okay to "sell" this bounded -- as opposed to fixed-size -- vector to the users of my library as a "fixed-size" vector replacement, even named "Vector3" or "Vector2", like the Effective uBLAS wiki did? Do you think I should somehow implement a vector with fixed size for this purpose? If so, how? (Sorry, but I'm really new to uBLAS; just tried it today) I am developing a 3D game. Should uBLAS be used for the calculations involved in this ("hey, geometry!", per Effective uBLAS wiki)? What replacement would you suggest, if not? -- edit And just in case, yes, I've read this warning: It should be noted that this only changes the storage uBLAS uses for the vector3. uBLAS will still use all the same algorithm (which assume a variable size) to manipulate the vector3. In practice this seems to have no negative impact on speed. The above runs just as quickly as a hand crafted vector3 which does not use uBLAS. The only negative impact is that the vector3 always store a "size" member which in this case is redundant [or isn't it? I mean......]. I see it uses the same algorithm, assuming a variable size, but if an operation were to actually change its size, shouldn't it be stopped (assertion)? ublas::bounded_vector<float,3> v3; ublas::bounded_vector<float,2> v2; v3 = v2; std::cout << v3.size() << '\n'; // prints 2 Oh, come on, isn't this just plain betrayal?

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  • Override a Rails Engine controller action

    - by sad sheep
    Hello, i'm using a Rails engine, but i need to customize some controllers actions. I actually forked the engine, and implementing those customizations into my own fork, but i was wondering if there is an official way in Rails Engines to override and customize controllers.

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  • SQL Server 2008 BIDS without the Database Engine

    - by Gareth Hill
    Does anyone know how we can install BIDS for SQL Server 2008 without having to install the Database Engine? With the SQL Server 2008 Express install it appears to be mandatory to install the Database Engine when all we would like the end users to have access to is BIDS to develop their RDL's to deploy to an existing SSRS instance? It looks like BIDS 2005 was available as a standalone download - the toolkit - however I cannot find anything similar for 2008.

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  • Best reporting engine for WPF without a database?

    - by Cameron MacFarland
    Does anyone know of a Reporting Engine for WPF? Most of the ones I could find are still for WinForms. I'm happy enough using a WinForms one in WPF with a WinForms host so long as the tool has a UserControl that can be embedded in a window. Also, I'm not using a database and all my data is in XML so the Reporting Engine needs to be able to handle that. Any suggestions?

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  • Sun Grid Engine (SGE) Jobs Not Visible After Adding virtual_free

    - by Gary Richardson
    I'm trying to to use virtual_free to limit the number of large memory jobs running each grid node in my cluster. This seems to be working as expected. After I modified my code to submit jobs with the memory instances, qstat -f -q $queueName no longer shows a list of jobs waiting for a slot. The jobs are submitted with a specific queue (-q $queueName). I'm guessing this is happening due to the magic of SGE queue selection. Is there a way to make my jobs show up as before? Thanks! UPDATE I'm using: qstat -f -u * -q $queueName to view the queue. If I drop the queue argument, I can see the jobs. If I examine a specific job, I can see that it has the correct hard_queue_list value set. I'm also using Sun Grid Engine 6.1u4

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  • Usecase for Workflow Engine

    - by Icarus
    Hi, We have an issue where a Database table has to be updated on the status for a particular entity. Presently, its all Java code with a lot of if conditions and an update to the status. I was thinking along lines of using a Workflow engine since there can be multiple flows in future. Is it an overkill to use a Workflow Engine here... where do you draw the line ?

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  • Ajax Push Engine

    - by gkrdvl
    Hi all, are there anyone hear about APE (Ajax Push Engine) before ? I'm building Rails application and trying to create group chat with this APE realtime engine, the problem is how to make Rails communicate with APE Server ? Are there any tutorial or reference on working APE with Rails ?

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  • Specify database engine to use in fixtures

    - by deceze
    Is there a way to specify the database engine to be used for fixtures in CakePHP test fixtures? Some of my models depend on database transactions, and I would like to write some tests for their correct behavior. Currently I'm simply auto-importing the schema, but the tables get created with MySQL's standard MyISAM engine, which doesn't support transactions. class FooFixture extends CakeTestFixture { public $name = 'Foo'; public $import = 'Foo'; public $records = array(...); }

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  • Authorization engine in java

    - by eltados
    In the course of my work i need to develop an authorization engine ( i'm already authenticated and i check access of a user to an action ) in order to store all the authorization logic inside a same place and be able to reuse it and i have created the mini library. http://github.com/eltados/canny what do you think about it? Is there any lightweight Authorization engine library i could have a look at?

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  • Good JavaScript engine for animating via Sprite Sheets (not in canvas)

    - by N. Taylor Mullen
    I've looked around a bit for a great JavaScript Sprite Sheet animator lib/engine but couldn't find any good ones so I thought I'd ask around =). What I'm looking for in the engine is: Animate an image in a non-canvas setting (ex: div via css or img tags) Control frame rate/animation speed Flags to loop or to animate once etc. Are there any engines like this out there? If not I can always make my own but then again, I don't want to re-invent the wheel =].

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  • Normal Redundancy (Double Mirroring) Option Available

    - by TammyBednar
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif";} The Oracle Database Appliance 2.4 Patch was released last week and provides you an option of ASM normal redundancy (double mirroring) during the initial deployment of the Database Appliance. The default deployment of the Oracle Database Appliance is high redundancy for the +DATA and +RECO disk groups. While there is 12TB of raw shared storage available, the Database Backup Location and Disk Group Redundancy govern how much usable storage is presented after the initial deployment is completed. The Database Backup Location options are Local or External. When the Local Backup Option is selected, this means that 60% of the available shared storage will be allocated for the Fast Recovery Area that contains database backups and archive logs. The External Backup Option will allocate 20% of the available shared storage to the Fast Recovery Area. So, let’s look at an example of High Redundancy and External Backups. Disk Group Redundancy – High --> Triple Mirroring to provide ~4TB of available storage Database Backup Location – External --> 20% of available shared storage allocated to +RECO +DATA = 3.2TB of usable storage, +RECO = 0.8TB of usable storage What about Normal Redundancy with External Backups? Disk Group Redundancy – Normal --> Double Mirroring to provide ~6TB of available storage Database Backup Location – External --> 20% of available shared storage allocated to +RECO +DATA = 4.8TB of usable storage, +RECO = 1.2TB of usable storage As a best practice, we would recommend using Normal Redundancy for your test and/or development Oracle Database Appliances and High Redundancy for production.

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  • Firefox - built in search engine toolbar broken

    - by Victor78
    When I change the order of the search engines (Toolbar - Manage Search Engines - Move up / down - Ok) it changes the order, until I close and reopen the browser. I can't imagine that's the way it's supposed to work. I want it to stay in the order I select. I have no add-ons installed that have anything to do with search engines, nor that add any toolbars. I am not using a customized theme. Apparently this problem is rare, as Googling [ "manage search engine list" ("order reverts" OR "order changes") ] return 0 results. Firefox 3.6.12; Windows XP Pro SP3.

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  • How to integrate camera image into physics engine?

    - by Pedro
    I recently came across this and would like to implement something similar. The basic approach is clear: I have to threshold the image and check if a virtual object collides with the remaining foreground. Instead of implementing the physics myself, I'd like use an engine like Box2D. But how do I integrate the thresholded image into the physics engine so it is possible to interact with virtual objects?

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