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  • ASP.NET Web API - Screencast series Part 2: Getting Data

    - by Jon Galloway
    We're continuing a six part series on ASP.NET Web API that accompanies the getting started screencast series. This is an introductory screencast series that walks through from File / New Project to some more advanced scenarios like Custom Validation and Authorization. The screencast videos are all short (3-5 minutes) and the sample code for the series is both available for download and browsable online. I did the screencasts, but the samples were written by the ASP.NET Web API team. In Part 1 we looked at what ASP.NET Web API is, why you'd care, did the File / New Project thing, and did some basic HTTP testing using browser F12 developer tools. This second screencast starts to build out the Comments example - a JSON API that's accessed via jQuery. This sample uses a simple in-memory repository. At this early stage, the GET /api/values/ just returns an IEnumerable<Comment>. In part 4 we'll add on paging and filtering, and it gets more interesting.   The get by id (e.g. GET /api/values/5) case is a little more interesting. The method just returns a Comment if the Comment ID is valid, but if it's not found we throw an HttpResponseException with the correct HTTP status code (HTTP 404 Not Found). This is an important thing to get - HTTP defines common response status codes, so there's no need to implement any custom messaging here - we tell the requestor that the resource the requested wasn't there.  public Comment GetComment(int id) { Comment comment; if (!repository.TryGet(id, out comment)) throw new HttpResponseException(HttpStatusCode.NotFound); return comment; } This is great because it's standard, and any client should know how to handle it. There's no need to invent custom messaging here, and we can talk to any client that understands HTTP - not just jQuery, and not just browsers. But it's crazy easy to consume an HTTP API that returns JSON via jQuery. The example uses Knockout to bind the JSON values to HTML elements, but the thing to notice is that calling into this /api/coments is really simple, and the return from the $.get() method is just JSON data, which is really easy to work with in JavaScript (since JSON stands for JavaScript Object Notation and is the native serialization format in Javascript). $(function() { $("#getComments").click(function () { // We're using a Knockout model. This clears out the existing comments. viewModel.comments([]); $.get('/api/comments', function (data) { // Update the Knockout model (and thus the UI) with the comments received back // from the Web API call. viewModel.comments(data); }); }); }); That's it! Easy, huh? In Part 3, we'll start modifying data on the server using POST and DELETE.

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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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  • Ecryptfs: lost passphrase

    - by Sherlock3890
    When i mounted some dir by mount -t ecryptfs private data i entered wrong password. I wrote data in this dir and now i can't mount it. I have no valid password and passphrase (know only the same), but have SIG in /root/.ecryptfs/sig-cache.txt. How i can recover my directory or, at least, "brute it": type many-many passwords like entered when mounting this dir and compare generated sig with existing?

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  • The Basics of Desktop Data Recovery

    Desktop data recovery is an important part of computer repairs, as it is pretty common for a hard drive or server RAID to fail and lose major amounts of data. With desktops especially, it is sometime... [Author: Richard Cuthbertson - Computers and Internet - April 07, 2010]

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  • No search data in Google Analytics or Webmasters

    - by cjk
    I have a domain that has been registered in Google Webmasters and using Google Analytics for over 4 months. I get lots of analytics data, but am getting no information on Google searches in Webmasters, or Queries in Search Engine Optimisation in Analytics, even though I am getting keywords for traffic coming to my site from search engines. I have a test sub-domain with the same setup (except not HTTPS) that is getting some of this information through, even with much less data and visits. What could be wrong to stop me getting this information?

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  • Seeking for faster $.(':data(key)')

    - by PoltoS
    I'm writing an extension to jQuery that adds data to DOM elements using el.data('lalala', my_data); and then uses that data to upload elements dynamically. Each time I get new data from the server I need to update all elements having el.data('lalala') != null; To get all needed elements I use an extension by James Padolsey: $(':data(lalala)').each(...); Everything was great until I came to the situation where I need to run that code 50 times - it is very slow! It takes about 8 seconds to execute on my page with 3640 DOM elements var x, t = (new Date).getTime(); for (n=0; n < 50; n++) { jQuery(':data(lalala)').each(function() { x++; }); }; console.log(((new Date).getTime()-t)/1000); Since I don't need RegExp as parameter of :data selector I've tried to replace this by var x, t = (new Date).getTime(); for (n=0; n < 50; n++) { jQuery('*').each(function() { if ($(this).data('lalala')) x++; }); }; console.log(((new Date).getTime()-t)/1000); This code is faster (5 sec), but I want get more. Q Are there any faster way to get all elements with this data key? In fact, I can keep an array with all elements I need, since I execute .data('key') in my module. Checking 100 elements having the desired .data('lalala') is better then checking 3640 :) So the solution would be like for (i in elements) { el = elements[i]; .... But sometimes elements are removed from the page (using jQuery .remove()). Both solutions described above [$(':data(lalala)') solution and if ($(this).data('lalala'))] will skip removed items (as I need), while the solution with array will still point to removed element (in fact, the element would not be really deleted - it will only be deleted from the DOM tree - because my array will still have a reference). I found that .remove() also removes data from the node, so my solution will change into var toRemove = []; for (vari in elements) { var el = elements[i]; if ($(el).data('lalala')) .... else toRemove.push(i); }; for (var ii in toRemove) elements.splice(toRemove[ii], 1); // remove element from array This solution is 100 times faster! Q Will the garbage collector release memory taken by DOM elements when deleted from that array? Remember, elements have been referenced by DOM tree, we made a new reference in our array, then removed with .remove() and then removed from the array. Is there a better way to do this?

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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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  • Daily tech links for .net and related technologies - June 14-16, 2010

    - by SanjeevAgarwal
    Daily tech links for .net and related technologies - June 14-16, 2010 Web Development ASP.Net MVC 2 Auto Complete Textbox With Custom View Model Attribute & EditorTemplate - Sean McAlinden Localization with ASP.NET MVC ModelMetadata - Kazi Manzur Rashid Securing Dynamic Data 4 (Replay) - Steve Adding Client-Side Script to an MVC Conditional Validator - Simon Ince jQuery: Storing and retrieving data related to elements - Rebecca Murphey Web Design 48 Examples of Excellent Layout in Web Design...(read more)

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  • No search data in Goolge Analytics or Webmasters

    - by cjk
    I have a domain that has been registered in Google Webmasters and using Google Analytics for over 4 months. I get lots of analytics data, but am getting no information on Google searches in Webmasters, or Queries in Search Engine Optimisation in Analytics, even though I am getting keywords for traffic coming to my site from search engines. I have a test sub-domain with the same setup (except not HTTPS) that is getting some of this information through, even with much less data and visits. What could be wrong to stop me getting this information?

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  • Google I/O 2012 - Storing Data in Google Apps Script

    Google I/O 2012 - Storing Data in Google Apps Script Drew Csillag This session covers the different ways in which developers can store data when using Google Script. We'll break things down by use case, and then show examples of how to use the different options: spreadsheet, Script/User Properties, JDBC connector, and distribution. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 24 1 ratings Time: 41:48 More in Science & Technology

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  • Oracle Technológia Fórum rendezvény, 2010. május 5. szerda

    - by Fekete Zoltán
    Jövo hét szerdán Oracle Technology Fórum napot tartunk, ahol az adatbázis-kezelési és a fejlesztoi szekciókban hallgathatók meg eloadások illetve kaphatók válaszok a kérdésekre. Jelentkezés a rendezvényre. Az adatbázis szekcióban fogok beszélni a Sun Oracle Database Machine / Exadata megoldások technikai gyöngyszemeirol mind a tranzakciós (OLTP) mind az adattárházas (DW) és adatbázis konszolidáció oldaláról. Emellett kiemelem majd az Oracle Data Mining (adatbányászat) és OLAP újdonságait, érdekességeit. Megemlítem majd az Oracle's Data Warehouse Reference Architecture alkalmazási lehetoségeit is.

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  • Optimized Integration between Oracle Data Integrator and Oracle GoldenGate

    - by Alex Kotopoulis
    The Journalizing Knowledge Module for Oracle GoldenGate's CDC mechanism has just been released as part of the ODI 10.1.3.6_02 patch, and a very useful post from Mark Rittman gives detailed instructions about how to set it up in a sample environment. This integration combines the best of two worlds, the non-invasive, highly performant data replication from Oracle GoldenGate with the innovative and scalable EL-T concept from ODI to perform complex loads into real-time data warehouses. Please also check out the new datasheet about this integration.

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  • How To Use Regular Expressions for Data Validation and Cleanup

    You need to provide data validation at the server level for complex strings like phone numbers, email addresses, etc. You may also need to do data cleanup / standardization before moving it from source to target. Although SQL Server provides a fair number of string functions, the code developed with these built-in functions can become complex and hard to maintain or reuse. The Future of SQL Server Monitoring "Being web-based, SQL Monitor 2.0 enables you to check on your servers from almost any location" Jonathan Allen.Try SQL Monitor now.

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  • Utilisez WCF Data Services 1.5 avec Silverlight, par Benjamin Roux

    Citation: Cet article vous présentera comment utiliser Silverlight et WCF Data Services 1.5. Premièrement, pourquoi utiliser Data Services 1.5 ? Tout simplement parce que l'intégration avec Silverlight est grandement améliorée (INotifyPropertyChanged et ObservableCollection, Two-way binding.). c'est par ici N'hésitez pas à laisser vos commentaires ici même

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  • Webcast Replay Available: E-Business Suite Data Protection

    - by BillSawyer
    I am pleased to release the replay and presentation for the latest ATG Live Webcast: E-Business Suite Data Protection (Presentation)   Robert Armstrong, Product Strategy Security Architect and Eric Bing, Senior Director discussed the best practices and recommendations for securing your E-Business Suite data.Finding other recorded ATG webcasts The catalog of ATG Live Webcast replays, presentations, and all ATG training materials is available in this blog's Webcasts and Training section.

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  • New ways for backup, recovery and restore of Essbase Block Storage databases – part 2 by Bernhard Kinkel

    - by Alexandra Georgescu
    After discussing in the first part of this article new options in Essbase for the general backup and restore, this second part will deal with the also rather new feature of Transaction Logging and Replay, which was released in version 11.1, enhancing existing restore options. Tip: Transaction logging and replay cannot be used for aggregate storage databases. Please refer to the Oracle Hyperion Enterprise Performance Management System Backup and Recovery Guide (rel. 11.1.2.1). Even if backups are done on a regular, frequent base, subsequent data entries, loads or calculations would not be reflected in a restored database. Activating Transaction Logging could fill that gap and provides you with an option to capture these post-backup transactions for later replay. The following table shows, which are the transactions that could be logged when Transaction Logging is enabled: In order to activate its usage, corresponding statements could be added to the Essbase.cfg file, using the TRANSACTIONLOGLOCATION command. The complete syntax reads: TRANSACTIONLOGLOCATION [ appname [ dbname]] LOGLOCATION NATIVE ?ENABLE | DISABLE Where appname and dbname are optional parameters giving you the chance in combination with the ENABLE or DISABLE command to set Transaction Logging for certain applications or databases or to exclude them from being logged. If only an appname is specified, the setting applies to all databases in that particular application. If appname and dbname are not defined, all applications and databases would be covered. LOGLOCATION specifies the directory to which the log is written, e.g. D:\temp\trlogs. This directory must already exist or needs to be created before using it for log information being written to it. NATIVE is a reserved keyword that shouldn’t be changed. The following example shows how to first enable logging on a more general level for all databases in the application Sample, followed by a disabling statement on a more granular level for only the Basic database in application Sample, hence excluding it from being logged. TRANSACTIONLOGLOCATION Sample Hyperion/trlog/Sample NATIVE ENABLE TRANSACTIONLOGLOCATION Sample Basic Hyperion/trlog/Sample NATIVE DISABLE Tip: After applying changes to the configuration file you must restart the Essbase server in order to initialize the settings. A maybe required replay of logged transactions after restoring a database can be done only by administrators. The following options are available: In Administration Services selecting Replay Transactions on the right-click menu on the database: Here you can select to replay transactions logged after the last replay request was originally executed or after the time of the last restored backup (whichever occurred later) or transactions logged after a specified time. Or you can replay transactions selectively based on a range of sequence IDs, which can be accessed using Display Transactions on the right-click menu on the database: These sequence ID s (0, 1, 2 … 7 in the screenshot below) are assigned to each logged transaction, indicating the order in which the transaction was performed. This helps to ensure the integrity of the restored data after a replay, as the replay of transactions is enforced in the same order in which they were originally performed. So for example a calculation originally run after a data load cannot be replayed before having replayed the data load first. After a transaction is replayed, you can replay only transactions with a greater sequence ID. For example, replaying the transaction with sequence ID of 4 includes all preceding transactions, while afterwards you can only replay transactions with a sequence ID of 5 or greater. Tip: After restoring a database from a backup you should always completely replay all logged transactions, which were executed after the backup, before executing new transactions. But not only the transaction information itself needs to be logged and stored in a specified directory as described above. During transaction logging, Essbase also creates archive copies of data load and rules files in the following default directory: ARBORPATH/app/appname/dbname/Replay These files are then used during the replay of a logged transaction. By default Essbase archives only data load and rules files for client data loads, but in order to specify the type of data to archive when logging transactions you can use the command TRANSACTIONLOGDATALOADARCHIVE as an additional entry in the Essbase.cfg file. The syntax for the statement is: TRANSACTIONLOGDATALOADARCHIVE [appname [dbname]] [OPTION] While to the [appname [dbname]] argument the same applies like before for TRANSACTIONLOGLOCATION, the valid values for the OPTION argument are the following: Make the respective setting for which files copies should be logged, considering from which location transactions are usually taking place. Selecting the NONE option prevents Essbase from saving the respective files and the data load cannot be replayed. In this case you must first manually load the data before you can replay the transactions. Tip: If you use server or SQL data and the data and rules files are not archived in the Replay directory (for example, you did not use the SERVER or SERVER_CLIENT option), Essbase replays the data that is actually in the data source at the moment of the replay, which may or may not be the data that was originally loaded. You can find more detailed information in the following documents: Oracle Hyperion Enterprise Performance Management System Backup and Recovery Guide (rel. 11.1.2.1) Oracle Essbase Online Documentation (rel. 11.1.2.1)) Enterprise Performance Management System Documentation (including previous releases) Or on the Oracle Technology Network. If you are also interested in other new features and smart enhancements in Essbase or Hyperion Planning stay tuned for coming articles or check our training courses and web presentations. You can find general information about offerings for the Essbase and Planning curriculum or other Oracle-Hyperion products here; (please make sure to select your country/region at the top of this page) or in the OU Learning paths section, where Planning, Essbase and other Hyperion products can be found under the Fusion Middleware heading (again, please select the right country/region). Or drop me a note directly: [email protected]. About the Author: Bernhard Kinkel started working for Hyperion Solutions as a Presales Consultant and Consultant in 1998 and moved to Hyperion Education Services in 1999. He joined Oracle University in 2007 where he is a Principal Education Consultant. Based on these many years of working with Hyperion products he has detailed product knowledge across several versions. He delivers both classroom and live virtual courses. His areas of expertise are Oracle/Hyperion Essbase, Oracle Hyperion Planning and Hyperion Web Analysis. Disclaimer: All methods and features mentioned in this article must be considered and tested carefully related to your environment, processes and requirements. As guidance please always refer to the available software documentation. This article does not recommend or advise any explicit action or change, hence the author cannot be held responsible for any consequences due to the use or implementation of these features.

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  • Fetching Data from Multiple Tables using Joins

    Applying normalization to relational databases tends to promote better accuracy of queries, but it also leads to queries that take a little more work to develop, as the data may be spread amongst several tables. In today's article, we'll learn how to fetch data from multiple tables by using joins.

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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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