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  • Android connait une croissance record, un graphique présente son évolution sur les 18 derniers mois

    Mise à jour du 27.05.2010 par Katleen Android connait une croissance record, un graphique présente son évolution sur les 18 derniers mois Un visuel infographique très complet, retraçant l'évolution d'Android au cours des 18 derniers mois. Il s'appuie sur les dernières statistiques dévoilées par Google il y a quelques jours lors de sa conférence I/O. Des chiffres rassurants suite à l'abandon des logiciels de Google au profit de ceux de Microsoft par plusieurs constructeurs. Les points clés transmis par ces i...

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  • OWB 11gR2 - Early Arriving Facts

    - by Dawei Sun
    A common challenge when building ETL components for a data warehouse is how to handle early arriving facts. OWB 11gR2 introduced a new feature to address this for dimensional objects entitled Orphan Management. An orphan record is one that does not have a corresponding existing parent record. Orphan management automates the process of handling source rows that do not meet the requirements necessary to form a valid dimension or cube record. In this article, a simple example will be provided to show you how to use Orphan Management in OWB. We first import a sample MDL file that contains all the objects we need. Then we take some time to examine all the objects. After that, we prepare the source data, deploy the target table and dimension/cube loading map. Finally, we run the loading maps, and check the data in target dimension/cube tables. OK, let’s start… 1. Import MDL file and examine sample project First, download zip file from here, which includes a MDL file and three source data files. Then we open OWB design center, import orphan_management.mdl by using the menu File->Import->Warehouse Builder Metadata. Now we have several objects in BI_DEMO project as below: Mapping LOAD_CHANNELS_OM: The mapping for dimension loading. Mapping LOAD_SALES_OM: The mapping for cube loading. Dimension CHANNELS_OM: The dimension that contains channels data. Cube SALES_OM: The cube that contains sales data. Table CHANNELS_OM: The star implementation table of dimension CHANNELS_OM. Table SALES_OM: The star implementation table of cube SALES_OM. Table SRC_CHANNELS: The source table of channels data, that will be loaded into dimension CHANNELS_OM. Table SRC_ORDERS and SRC_ORDER_ITEMS: The source tables of sales data that will be loaded into cube SALES_OM. Sequence CLASS_OM_DIM_SEQ: The sequence used for loading dimension CHANNELS_OM. Dimension CHANNELS_OM This dimension has a hierarchy with three levels: TOTAL, CLASS and CHANNEL. Each level has three attributes: ID (surrogate key), NAME and SOURCE_ID (business key). It has a standard star implementation. The orphan management policy and the default parent setting are shown in the following screenshots: The orphan management policy options that you can set for loading are: Reject Orphan: The record is not inserted. Default Parent: You can specify a default parent record. This default record is used as the parent record for any record that does not have an existing parent record. If the default parent record does not exist, Warehouse Builder creates the default parent record. You specify the attribute values of the default parent record at the time of defining the dimensional object. If any ancestor of the default parent does not exist, Warehouse Builder also creates this record. No Maintenance: This is the default behavior. Warehouse Builder does not actively detect, reject, or fix orphan records. While removing data from a dimension, you can select one of the following orphan management policies: Reject Removal: Warehouse Builder does not allow you to delete the record if it has existing child records. No Maintenance: This is the default behavior. Warehouse Builder does not actively detect, reject, or fix orphan records. (More details are at http://download.oracle.com/docs/cd/E11882_01/owb.112/e10935/dim_objects.htm#insertedID1) Cube SALES_OM This cube is references to dimension CHANNELS_OM. It has three measures: AMOUNT, QUANTITY and COST. The orphan management policy setting are shown as following screenshot: The orphan management policy options that you can set for loading are: No Maintenance: Warehouse Builder does not actively detect, reject, or fix orphan rows. Default Dimension Record: Warehouse Builder assigns a default dimension record for any row that has an invalid or null dimension key value. Use the Settings button to define the default parent row. Reject Orphan: Warehouse Builder does not insert the row if it does not have an existing dimension record. (More details are at http://download.oracle.com/docs/cd/E11882_01/owb.112/e10935/dim_objects.htm#BABEACDG) Mapping LOAD_CHANNELS_OM This mapping loads source data from table SRC_CHANNELS to dimension CHANNELS_OM. The operator CHANNELS_IN is bound to table SRC_CHANNELS; CHANNELS_OUT is bound to dimension CHANNELS_OM. The TOTALS operator is used for generating a constant value for the top level in the dimension. The CLASS_FILTER operator is used to filter out the “invalid” class name, so then we can see what will happen when those channel records with an “invalid” parent are loading into dimension. Some properties of the dimension operator in this mapping are important to orphan management. See the screenshot below: Create Default Level Records: If YES, then default level records will be created. This property must be set to YES for dimensions and cubes if one of their orphan management policies is “Default Parent” or “Default Dimension Record”. This property is set to NO by default, so the user may need to set this to YES manually. LOAD policy for INVALID keys/ LOAD policy for NULL keys: These two properties have the same meaning as in the dimension editor. The values are set to the same as the dimension value when user drops the dimension into the mapping. The user does not need to modify these properties. Record Error Rows: If YES, error rows will be inserted into error table when loading the dimension. REMOVE Orphan Policy: This property is used when removing data from a dimension. Since the dimension loading type is set to LOAD in this example, this property is disabled. Mapping LOAD_SALES_OM This mapping loads source data from table SRC_ORDERS and SRC_ORDER_ITEMS to cube SALES_OM. This mapping seems a little bit complicated, but operators in the red rectangle are used to filter out and generate the records with “invalid” or “null” dimension keys. Some properties of the cube operator in a mapping are important to orphan management. See the screenshot below: Enable Source Aggregation: Should be checked in this example. If the default dimension record orphan policy is set for the cube operator, then it is recommended that source aggregation also be enabled. Otherwise, the orphan management processing may produce multiple fact rows with the same default dimension references, which will cause an “unstable rowset” execution error in the database, since the dimension refs are used as update match attributes for updating the fact table. LOAD policy for INVALID keys/ LOAD policy for NULL keys: These two properties have the same meaning as in the cube editor. The values are set to the same as in the cube editor when the user drops the cube into the mapping. The user does not need to modify these properties. Record Error Rows: If YES, error rows will be inserted into error table when loading the cube. 2. Deploy objects and mappings We now can deploy the objects. First, make sure location SALES_WH_LOCAL has been correctly configured. Then open Control Center Manager by using the menu Tools->Control Center Manager. Expand BI_DEMO->SALES_WH_LOCAL, click SALES_WH node on the project tree. We can see the following objects: Deploy all the objects in the following order: Sequence CLASS_OM_DIM_SEQ Table CHANNELS_OM, SALES_OM, SRC_CHANNELS, SRC_ORDERS, SRC_ORDER_ITEMS Dimension CHANNELS_OM Cube SALES_OM Mapping LOAD_CHANNELS_OM, LOAD_SALES_OM Note that we deployed source tables as well. Normally, we import source table from database instead of deploying them to target schema. However, in this example, we designed the source tables in OWB and deployed them to database for the purpose of this demonstration. 3. Prepare and examine source data Before running the mappings, we need to populate and examine the source data first. Run SRC_CHANNELS.sql, SRC_ORDERS.sql and SRC_ORDER_ITEMS.sql as target user. Then we check the data in these three tables. Table SRC_CHANNELS SQL> select rownum, id, class, name from src_channels; Records 1~5 are correct; they should be loaded into dimension without error. Records 6,7 and 8 have null parents; they should be loaded into dimension with a default parent value, and should be inserted into error table at the same time. Records 9, 10 and 11 have “invalid” parents; they should be rejected by dimension, and inserted into error table. Table SRC_ORDERS and SRC_ORDER_ITEMS SQL> select rownum, a.id, a.channel, b.amount, b.quantity, b.cost from src_orders a, src_order_items b where a.id = b.order_id; Record 178 has null dimension reference; it should be loaded into cube with a default dimension reference, and should be inserted into error table at the same time. Record 179 has “invalid” dimension reference; it should be rejected by cube, and inserted into error table. Other records should be aggregated and loaded into cube correctly. 4. Run the mappings and examine the target data In the Control Center Manager, expand BI_DEMO-> SALES_WH_LOCAL-> SALES_WH-> Mappings, right click on LOAD_CHANNELS_OM node, click Start. Use the same way to run mapping LOAD_SALES_OM. When they successfully finished, we can check the data in target tables. Table CHANNELS_OM SQL> select rownum, total_id, total_name, total_source_id, class_id,class_name, class_source_id, channel_id, channel_name,channel_source_id from channels_om order by abs(dimension_key); Records 1,2 and 3 are the default dimension records for the three levels. Records 8, 10 and 15 are the loaded records that originally have null parents. We see their parents name (class_name) is set to DEF_CLASS_NAME. Those records whose CHANNEL_NAME are Special_4, Special_5 and Special_6 are not loaded to this table because of the invalid parent. Error Table CHANNELS_OM_ERR SQL> select rownum, class_source_id, channel_id, channel_name,channel_source_id, err$$$_error_reason from channels_om_err order by channel_name; We can see all the record with null parent or invalid parent are inserted into this error table. Error reason is “Default parent used for record” for the first three records, and “No parent found for record” for the last three. Table SALES_OM SQL> select a.*, b.channel_name from sales_om a, channels_om b where a.channels=b.channel_id; We can see the order record with null channel_name has been loaded into target table with a default channel_name. The one with “invalid” channel_name are not loaded. Error Table SALES_OM_ERR SQL> select a.amount, a.cost, a.quantity, a.channels, b.channel_name, a.err$$$_error_reason from sales_om_err a, channels_om b where a.channels=b.channel_id(+); We can see the order records with null or invalid channel_name are inserted into error table. If the dimension reference column is null, the error reason is “Default dimension record used for fact”. If it is invalid, the error reason is “Dimension record not found for fact”. Summary In summary, this article illustrated the Orphan Management feature in OWB 11gR2. Automated orphan management policies improve ETL developer and administrator productivity by addressing an important cause of cube and dimension load failures, without requiring developers to explicitly build logic to handle these orphan rows.

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  • Strange DNS issue with internal Windows DNS

    - by Brady
    I've encountered a strange issue with our internal Windows DNS infrastructure. We have a website hosted on Amazon EC2 with the DNS running on Amazon Route 53. In the publicly facing DNS we have the wildcard record setup as an A record Alias pointing to an AWS Elastic Load Balancer sitting in front of our EC2 instances. For those who are not aware, the A record Alias behaves like a CNAME record, however no extra lookup is required on the client side (See http://docs.amazonwebservices.com/Route53/latest/DeveloperGuide/CreatingAliasRRSets.html for more information). We have a secondary domain that has the www subdomain as a CNAME pointing to a subdomain on the primary domain, which resolves against the wildcard entry. For example the subdomain www.secondary.com is a CNAME to sub1.primary.com, but there is no explicit entry for sub1.primary.com, so it resolves to wildcard record. This setup work without issue publicly. The issue comes in our internal DNS at our corporate office where we use the same primary domain for some internal only facing sites. In this setup we have two Active Directory DNS servers with one Server 2003 and one Server 2008 R2 instance. The zone is an AD integrated zone, but it is not the AD domain. In the internal DNS we have the wildcard record pointing to a third external domain, that is also hosted on Route 53 with an A record Alias pointing to the same ELB instance. For example, *.primary.com is a CNAME to tertiary.com, so in effect you have www.secondary.com as a CNAME to *.primary.com, which is a CNAME to tertiary.com. In this setup, attempting to resolve www.secondary.com will fail. Clearing the cache on the Server 2003 instance will allow it to resolve once, but subsequent attempts will fail. It fails even with a clean cache against the 2008 R2 server. It seems that only Windows clients are affected. A Mac running OSX Mountain Lion does not experience this issue. I'm even able to replicate the issue using nslookup. Against the 2003 server, with a freshly cleaned cache, I recieve the appropriate response from www.secondary.com: Non-authoritative answer: Name: subdomain.primary.com Address: x.x.x.x (Public IP) Aliases: www.secondary.com Subsequent checks simply return: Non-authoritative answer: Name: www.secondary.com If you set the type to CNAME you get the appropriate responses all the time. www.secondary.com gives you: Non-authoritative answer: www.secondary.com canonical name = subdomain.primary.com And subdomain.primary.com gives you: subdomain.primary.com canonical name = tertiary.com And setting type back to A gives you the appropriate response for tertiary.com: Non-authoritative answer: Name: tertiary.com Address: x.x.x.x (Public IP) Against the 2008 R2 server things are a little different. Even with a clean cache, www.secondary.com returns just: Non-authoritative answer: Name: www.secondary.com The CNAME records are returned appropriately. www.secondary.com returns: Non-authoritative answer: www.secondary.com canonical name = subdomain.primary.com And subdomain.primary.com gives you: subdomain.primary.com canonical name = tertiary.com tertiary.com internet address = x.x.x.x (Public IP) tertiary.com AAAA IPv6 address = x::x (Public IPv6) And setting type back to A gives you the appropriate response for tertiary.com: Non-authoritative answer: Name: tertiary.com Address: x.x.x.x (Public IP) Requests directly against subdomain.primary.com work correctly.

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  • v4l - capture and watch at the same time

    - by John Barrett
    Capturing v4l and line-in audio using mencoder works very well, but I would like to record real-time gameplay video from consoles plugged into the video card. I've used xawtv for this (Works quite well, can preview and record in real time), but when I enable any deinterlacing or aspect ration options the video fails to record. I have to record raw and re-encode the video with the appropriate filters later to get something workable. Other things I have tried: tvtime with xvidcap and jack audio capture - xvidcap drops frames and muxing the audio is impossible as it will go out of sync (I have not found muxer options that work to force a correct frame rate) mencoder capture to file, attempt to pipe tail of file to mplayer... mencoder works great, piping the file is far too heavy to attempt gameplay. Soooo, v4l capture and preview simultaneously, recommendations?

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  • Configuring DNS & MX records for exchange 2010

    - by Mahmoud Saleh
    i am trying to configure Exchange Server 2010 on Windows Server 2008 R2 to receive emails from the internet following the danscourses tutorials: and i followed this video for the DNS & MX records: http://www.youtube.com/watch?v=jdf_3DRssks i don't have any windows administration skills, and i am stuck with the DNS configuration. and the following are my domain configuration i got from the hosting. following are the steps i made: 1- Add new name server: add ns1.centors.com ip Exchange Server Public IP: 41.233.26.131 2- Change the A record change it to point to the public ip address Exchange Server Public IP: 41.233.26.131 3- New cname record for www and make it resolve to centors.com 4- New mx record for mail.centors.com 5- New A record for mail.centors.com: name: mail ip: Exchange Server Public IP: 41.233.26.131 6- new A record for ns1: ip: Exchange Server Public IP: 41.233.26.131 7- i made port forward in the router for SMTP and POP3 to the exchange server local ip address. ISSUE: i have a user account in the active directory, and the user is member of the domain, the user is [email protected] and when trying to login with this account in outlook 2010 on other machine using following data: account type: POP3 incoming mail server: mail.centors.com outgoing mail server: mail.centors.com i always get the error: Authorization failed, check your server settings. please advise what's wrong with the configuration, thanks in advance.

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  • Microsoft DNS creating subdomain when adding address record

    - by dwdet
    Hello, When attempting to add a normal A record (which has so far always worked), the Microsoft dnsmgmt app in MMC is returning a successful creation message "The host record oneworld.mydomain.com was successfully created". However, after refreshing the zone, it displays a folder icon next to "oneworld" indicating a sub domain, i.e. it is not the A record dnsmgmt said it created successfully. This is really strange behavior that has never happened previously. We have tried this on two separate PCs and remote consoled into the primary DNS server and tried adding the same A record with the same results. Any help is appreciated.

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  • Oracle Employees Support New World Record for IYF Children's Hour

    - by Maria Sandu
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 960 students ‘crouched’, ‘touched’ and ‘set’ under the watchful eye of International Rugby Referee Alain Roland, and supported by Oracle employees, to successfully set a new world record for the World’s Largest Scrum to raise funds and awareness for the Irish Youth Foundation. Last year Oracle Employees supported the Irish Youth Foundation by donating funds from their payroll through the Giving Tree Appeal. We were the largest corporate donor to the IYF by raising €3075. To acknowledge our generosity the IYF asked Oracle Leadership in Society team members to participate in their most recent campaign which was to break the Guinness Book of Records by forming the World’s Largest Rugby Scrum. This was a wonderful opportunity for Oracle’s Leadership in Society to promote the charity, support education and to make a mark in the Corporate Social Responsibility field. The students who formed the scrum also gave up their lunch money and raised a total of €3000. This year we hope Oracle Employees will once again support the IYF with the challenge to match that amount. On the 24th of October the sun shone down on the streaming lines of students entering the field. 480 students were decked out in bright red Oracle T-Shirts against the other 480 in blue and white jerseys - all ready to form a striking scrum. Ryan Tubridy the host of the event made the opening announcement and with the blow of a whistle the Scum began. 960 students locked tight together with the Leinster players also at each side. Leinster Manager Matt O’Connor was there along with presenters Ryan Tubridy and George Hook to assist with getting the boys in line and keeping the shape of the scrum. In accordance with Guinness Book of Records rules, the ball was fed into the scrum properly by Ireland and Leinster scrum-half, Eoin Reddan, and was then passed out the line to his Leinster team mates including Ian Madigan, Brendan Macken and Jordi Murphy, also proudly sporting the Oracle T-Shirt. The new World Record was made, everyone gave a big cheer and thankfully nobody got injured! Thank you to everyone in Oracle who donated last year through the Giving Tree Appeal. Your generosity has gone a long way to support local groups both. Last year’s donation was so substantial that the IYF were able to spread it across two youth groups: The first being Ballybough Youth Project in Dublin. The funding gave them the chance to give 24 young people from their project the chance to get away from the inner city and the problems and issues they face in their daily life by taking a trip to the Cavan Centre to spend a weekend away in a safe and comfortable environment; a very rare holiday in these young people’s lives. The Rahoon Family Centre. Used the money to help secure the long term sustainability of their project. They act as an educational/social/fun project that has been working with disadvantaged children for the past 16 years. Their aim is to change young people’s future with fun /social education and supporting them so they can maximize their creativity and potential. We hope you can help support this worthy cause again this year, so keep an eye out for the Children’s Hour and Giving Tree Appeal! About the Irish Youth Foundation The IYF provides opportunities for marginalised children and young people facing difficult and extreme conditions to experience success in their lives. It passionately believes that achievement starts with opportunity. The IYF’s strategy is based on providing safe places where children can go after school; to grow, to learn and to play; and providing opportunities for teenagers from under-served communities to succeed and excel in their lives. The IYF supports innovative grassroots projects operated by dedicated professionals who understand young people and care about them. This allows the IYF to focus on supporting young people at risk of dropping out of school and, in particular, on the critical transition from primary to secondary school; and empowering teenagers from disadvantaged neighborhoods to become engaged in their local communities. Find out more here www.iyf.ie

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  • create a CNAME record for AWS LoadBalancer DNS name

    - by t q
    I am trying to setup a loadBalancer on AWS. The A-Record it gave me looks like myLoadBalancer-**********.us-east-1.elb.amazonaws.com however when i try to put that in my domain registrars A-Record, i get an errorIP address is not valid. Must be of type x.x.x.x where x is 0-255. amazons solution is you should create a CNAME record for the LoadBalancer DNS name, or use Amazon Route 53 to create a hosted zone. route 53 gives me DNS numbers but if i use that then my email doesnt work from the registrar. question: is there a way to use route 53 and retain my emails? or should i create a CNAME record for the LoadBalancer DNS name, if so how do i do this ... not sure what this means?

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  • Calculated control on subform based on current record

    - by rtochip
    I have the following: main form "customer" from a "customer" table. subform "invoices" with fields "invoice date", "invoice amount" "customer id" etc. from a table "invoices" whenever user clicks or goes to a record in the "invoices" sub form. I would like a "total so far" control to calculate the sum of the "invoices amount" up until the date of the current record being "clicked" or selected. i.e. for customer microsoft with invoices: 1) may 2 09, $150 2) may 3 09, $200 3) may 4 09, $500 If user clicks on record 2), "total so far" should show $350 If user clicks on record 1), "total so far" should show $150 If user clicks on record 3), "total so far" should show $850 Currently, I am using DSum function on an event "OnCurrent" in the subform "invoices" to set the "total so far" value. Is this method slow, inefficient? Any other simpler,cleaner,more elegant,faster, efficient method using ms access features? I want the "invoices" subform to show ALL the invoices for this customer no matter which record is clicked.

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  • how to have separate keys per record in mongo_mapper + Rails

    - by Vitaly Kushner
    When I'm adding a record in mongodb I can specify whatever keys I want and it will store it in the db. The problem is that it will remember those keys for the next time I insert another record. so for example if I do the following: Product.create :foo => 123 and then Product.create :bar => 456 I get :foo => nil field in the 2nd record. This is definitely not a limitation of mongodb itself, since if I restart the rails console and create yet another record with different set of columns, it will not add the columns from the 1st 2 records. So it seems like mongomapper remembers all the keys used and inserts them all into all records, even if values are not provided. The question is obviously: how do I disable this crazy attributes explosion? Basically I want only the 'permanent' keys that I specify in the model to be in every record, but all the 'extra' attributes to be specified per record and not to mess the consequent records.

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  • Record and Play your WebLogic Console Tasks Like a DVR

    - by james.bayer
    Automation using WebLogic Scripting Tool Today on the Oracle internal mailing list for WebLogic Server questions someone asked how to automate the configuration of the thread model for WebLogic Server and they were having trouble with the jython scripting syntax.  I’ve previously written about this feature called Work Managers and the associated constraints.  However, I did not show how to automate the process of configuring this without the console using WebLogic Scripting Tool – the jython scripting automation environment abbreviated as WLST.  I’ve written some very basic introductions to WLST before and there is also an Oracle By Example on the subject, but this is a bit more advanced.  Fear not because there is a really easy-to-use feature of the WLS console that lets you “Record” user actions just like a DVR.  Using these recordings of the web-based console, you can easily create a script even if you are unfamiliar with the WLST syntax and API.  I’m a big fan of both DVR’s and automation as can be evidenced with this old Halloween picture taken during simpler times.  Obviously the Cast Away and The Big Labowski references show some age.  I was a big Tivo fan-boy back in the day and I still think it’s the best DVR. I strongly believe that WebLogic Scripting Tool (WLST) is an absolutely essential tool for automating administration tasks in anything beyond a development environment.  Even in development environments you can make a case that it makes sense to start the automation for environments downstream.  I promise you that once you start using it for any tasks that you do even semi-regularly, you won’t go back to clicking through the console.  It’s simply so much more efficient and less error-prone to run a script. Let’s say you need to create a Work Manager and MaxThreadsConstraint – the easy way to do it is configure it in the WLS console first while capturing the commands with a recording.  See the images for the simple steps – click to enlarge. Record Console Configurations to a File Review the Recordings and Make Slight Modifications In order to make the recorded .py file directly callable as a stand-alone script I added calls to the connect() and edit() functions at the beginning and calls to disconnect() and exit() at the end – otherwise the main section of the script was provided by the console recording.  Below is the resulting file I saved as d:/temp/wm.py connect('weblogic','welcome1', 't3://localhost:7001') edit() startEdit()   cd('/SelfTuning/wl_server') cmo.createMaxThreadsConstraint('MaxThreadsConstraint-0')   cd('/SelfTuning/wl_server/MaxThreadsConstraints/MaxThreadsConstraint-0') set('Targets',jarray.array([ObjectName('com.bea:Name=examplesServer,Type=Server')], ObjectName)) cmo.setCount(5) cmo.unSet('ConnectionPoolName')   cd('/SelfTuning/wl_server') cmo.createWorkManager('WorkManager-0') cd('/SelfTuning/wl_server/WorkManagers/WorkManager-0') set('Targets',jarray.array([ObjectName('com.bea:Name=examplesServer,Type=Server')], ObjectName))   cmo.setMaxThreadsConstraint(getMBean('/SelfTuning/wl_server/MaxThreadsConstraints/MaxThreadsConstraint-0')) cmo.setIgnoreStuckThreads(false)   activate() disconnect() exit() Run the Script If you want to test it be sure to delete the Work Manager and MaxThreadConstraint that you had previously created in the console.  Do something like the following - set up the environment and tell WLST to execute the script which happens in the first 2 lines, the rest doesn’t require any user input: D:\Oracle\wls11g\wlserver_10.3\samples\domains\wl_server\bin>setDomainEnv.cmd D:\Oracle\wls11g\wlserver_10.3\samples\domains\wl_server>java weblogic.WLST d:\temp\wm.py   Initializing WebLogic Scripting Tool (WLST) ...   Welcome to WebLogic Server Administration Scripting Shell   Type help() for help on available commands   Connecting to t3://localhost:7001 with userid weblogic ... Successfully connected to Admin Server 'examplesServer' that belongs to domain 'wl_server'.   Warning: An insecure protocol was used to connect to the server. To ensure on-the-wire security, the SSL port or Admin port should be used instead.   Location changed to edit tree. This is a writable tree with DomainMBean as the root. To make changes you will need to start an edit session via startEdit().   For more help, use help(edit)   Starting an edit session ... Started edit session, please be sure to save and activate your changes once you are done. Activating all your changes, this may take a while ... The edit lock associated with this edit session is released once the activation is completed. Activation completed Disconnected from weblogic server: examplesServer     Exiting WebLogic Scripting Tool.   Now if you go back and look in the console the changes have been made and we now have a compete script.  Of course there is a full MBean reference and you can learn the nuances of jython and WLST, but why not the WLS console do most of the work for you!  Happy scripting.

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  • World Record Batch Rate on Oracle JD Edwards Consolidated Workload with SPARC T4-2

    - by Brian
    Oracle produced a World Record batch throughput for single system results on Oracle's JD Edwards EnterpriseOne Day-in-the-Life benchmark using Oracle's SPARC T4-2 server running Oracle Solaris Containers and consolidating JD Edwards EnterpriseOne, Oracle WebLogic servers and the Oracle Database 11g Release 2. The workload includes both online and batch workload. The SPARC T4-2 server delivered a result of 8,000 online users while concurrently executing a mix of JD Edwards EnterpriseOne Long and Short batch processes at 95.5 UBEs/min (Universal Batch Engines per minute). In order to obtain this record benchmark result, the JD Edwards EnterpriseOne, Oracle WebLogic and Oracle Database 11g Release 2 servers were executed each in separate Oracle Solaris Containers which enabled optimal system resources distribution and performance together with scalable and manageable virtualization. One SPARC T4-2 server running Oracle Solaris Containers and consolidating JD Edwards EnterpriseOne, Oracle WebLogic servers and the Oracle Database 11g Release 2 utilized only 55% of the available CPU power. The Oracle DB server in a Shared Server configuration allows for optimized CPU resource utilization and significant memory savings on the SPARC T4-2 server without sacrificing performance. This configuration with SPARC T4-2 server has achieved 33% more Users/core, 47% more UBEs/min and 78% more Users/rack unit than the IBM Power 770 server. The SPARC T4-2 server with 2 processors ran the JD Edwards "Day-in-the-Life" benchmark and supported 8,000 concurrent online users while concurrently executing mixed batch workloads at 95.5 UBEs per minute. The IBM Power 770 server with twice as many processors supported only 12,000 concurrent online users while concurrently executing mixed batch workloads at only 65 UBEs per minute. This benchmark demonstrates more than 2x cost savings by consolidating the complete solution in a single SPARC T4-2 server compared to earlier published results of 10,000 users and 67 UBEs per minute on two SPARC T4-2 and SPARC T4-1. The Oracle DB server used mirrored (RAID 1) volumes for the database providing high availability for the data without impacting performance. Performance Landscape JD Edwards EnterpriseOne Day in the Life (DIL) Benchmark Consolidated Online with Batch Workload System Rack Units BatchRate(UBEs/m) Online Users Users /Units Users /Core Version SPARC T4-2 (2 x SPARC T4, 2.85 GHz) 3 95.5 8,000 2,667 500 9.0.2 IBM Power 770 (4 x POWER7, 3.3 GHz, 32 cores) 8 65 12,000 1,500 375 9.0.2 Batch Rate (UBEs/m) — Batch transaction rate in UBEs per minute Configuration Summary Hardware Configuration: 1 x SPARC T4-2 server with 2 x SPARC T4 processors, 2.85 GHz 256 GB memory 4 x 300 GB 10K RPM SAS internal disk 2 x 300 GB internal SSD 2 x Sun Storage F5100 Flash Arrays Software Configuration: Oracle Solaris 10 Oracle Solaris Containers JD Edwards EnterpriseOne 9.0.2 JD Edwards EnterpriseOne Tools (8.98.4.2) Oracle WebLogic Server 11g (10.3.4) Oracle HTTP Server 11g Oracle Database 11g Release 2 (11.2.0.1) Benchmark Description JD Edwards EnterpriseOne is an integrated applications suite of Enterprise Resource Planning (ERP) software. Oracle offers 70 JD Edwards EnterpriseOne application modules to support a diverse set of business operations. Oracle's Day in the Life (DIL) kit is a suite of scripts that exercises most common transactions of JD Edwards EnterpriseOne applications, including business processes such as payroll, sales order, purchase order, work order, and manufacturing processes, such as ship confirmation. These are labeled by industry acronyms such as SCM, CRM, HCM, SRM and FMS. The kit's scripts execute transactions typical of a mid-sized manufacturing company. The workload consists of online transactions and the UBE – Universal Business Engine workload of 61 short and 4 long UBEs. LoadRunner runs the DIL workload, collects the user’s transactions response times and reports the key metric of Combined Weighted Average Transaction Response time. The UBE processes workload runs from the JD Enterprise Application server. Oracle's UBE processes come as three flavors: Short UBEs < 1 minute engage in Business Report and Summary Analysis, Mid UBEs > 1 minute create a large report of Account, Balance, and Full Address, Long UBEs > 2 minutes simulate Payroll, Sales Order, night only jobs. The UBE workload generates large numbers of PDF files reports and log files. The UBE Queues are categorized as the QBATCHD, a single threaded queue for large and medium UBEs, and the QPROCESS queue for short UBEs run concurrently. Oracle's UBE process performance metric is Number of Maximum Concurrent UBE processes at transaction rate, UBEs/minute. Key Points and Best Practices Two JD Edwards EnterpriseOne Application Servers, two Oracle WebLogic Servers 11g Release 1 coupled with two Oracle Web Tier HTTP server instances and one Oracle Database 11g Release 2 database on a single SPARC T4-2 server were hosted in separate Oracle Solaris Containers bound to four processor sets to demonstrate consolidation of multiple applications, web servers and the database with best resource utilizations. Interrupt fencing was configured on all Oracle Solaris Containers to channel the interrupts to processors other than the processor sets used for the JD Edwards Application server, Oracle WebLogic servers and the database server. A Oracle WebLogic vertical cluster was configured on each WebServer Container with twelve managed instances each to load balance users' requests and to provide the infrastructure that enables scaling to high number of users with ease of deployment and high availability. The database log writer was run in the real time RT class and bound to a processor set. The database redo logs were configured on the raw disk partitions. The Oracle Solaris Container running the Enterprise Application server completed 61 Short UBEs, 4 Long UBEs concurrently as the mixed size batch workload. The mixed size UBEs ran concurrently from the Enterprise Application server with the 8,000 online users driven by the LoadRunner. See Also SPARC T4-2 Server oracle.com OTN JD Edwards EnterpriseOne oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Oracle Fusion Middleware oracle.com OTN Disclosure Statement Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 09/30/2012.

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  • Square Reader Modified to Record Off Old Reel-to-Reel Tape [Video]

    - by Jason Fitzpatrick
    The Square Reader is a tiny magnetic credit card reader that has taken the mobile payment industry by storm. This clever hack dumps the credit card reading in favor of snagging the audio from old music reels. Evan Long was curious about whether the through-the-headphones interface of the Square Reader could be used to read audio data off old magnetic recordings. With a very small modification (he had to bend a metal tab inside the reader to allow the audio tape to slide through more easily) he was able to listen to and record audio off old reels. Watch the video above to see it in action or hit up the link below to read more about his project. iPod Meets Reel [via Make] HTG Explains: What Is Windows RT and What Does It Mean To Me? HTG Explains: How Windows 8′s Secure Boot Feature Works & What It Means for Linux Hack Your Kindle for Easy Font Customization

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  • SPARC T4-4 Delivers World Record First Result on PeopleSoft Combined Benchmark

    - by Brian
    Oracle's SPARC T4-4 servers running Oracle's PeopleSoft HCM 9.1 combined online and batch benchmark achieved World Record 18,000 concurrent users while executing a PeopleSoft Payroll batch job of 500,000 employees in 43.32 minutes and maintaining online users response time at < 2 seconds. This world record is the first to run online and batch workloads concurrently. This result was obtained with a SPARC T4-4 server running Oracle Database 11g Release 2, a SPARC T4-4 server running PeopleSoft HCM 9.1 application server and a SPARC T4-2 server running Oracle WebLogic Server in the web tier. The SPARC T4-4 server running the application tier used Oracle Solaris Zones which provide a flexible, scalable and manageable virtualization environment. The average CPU utilization on the SPARC T4-2 server in the web tier was 17%, on the SPARC T4-4 server in the application tier it was 59%, and on the SPARC T4-4 server in the database tier was 35% (online and batch) leaving significant headroom for additional processing across the three tiers. The SPARC T4-4 server used for the database tier hosted Oracle Database 11g Release 2 using Oracle Automatic Storage Management (ASM) for database files management with I/O performance equivalent to raw devices. This is the first three tier mixed workload (online and batch) PeopleSoft benchmark also processing PeopleSoft payroll batch workload. Performance Landscape PeopleSoft HR Self-Service and Payroll Benchmark Systems Users Ave Response Search (sec) Ave Response Save (sec) Batch Time (min) Streams SPARC T4-2 (web) SPARC T4-4 (app) SPARC T4-2 (db) 18,000 0.944 0.503 43.32 64 Configuration Summary Application Configuration: 1 x SPARC T4-4 server with 4 x SPARC T4 processors, 3.0 GHz 512 GB memory 5 x 300 GB SAS internal disks 1 x 100 GB and 2 x 300 GB internal SSDs 2 x 10 Gbe HBA Oracle Solaris 11 11/11 PeopleTools 8.52 PeopleSoft HCM 9.1 Oracle Tuxedo, Version 10.3.0.0, 64-bit, Patch Level 031 Java Platform, Standard Edition Development Kit 6 Update 32 Database Configuration: 1 x SPARC T4-4 server with 4 x SPARC T4 processors, 3.0 GHz 256 GB memory 3 x 300 GB SAS internal disks Oracle Solaris 11 11/11 Oracle Database 11g Release 2 Web Tier Configuration: 1 x SPARC T4-2 server with 2 x SPARC T4 processors, 2.85 GHz 256 GB memory 2 x 300 GB SAS internal disks 1 x 100 GB internal SSD Oracle Solaris 11 11/11 PeopleTools 8.52 Oracle WebLogic Server 10.3.4 Java Platform, Standard Edition Development Kit 6 Update 32 Storage Configuration: 1 x Sun Server X2-4 as a COMSTAR head for data 4 x Intel Xeon X7550, 2.0 GHz 128 GB memory 1 x Sun Storage F5100 Flash Array (80 flash modules) 1 x Sun Storage F5100 Flash Array (40 flash modules) 1 x Sun Fire X4275 as a COMSTAR head for redo logs 12 x 2 TB SAS disks with Niwot Raid controller Benchmark Description This benchmark combines PeopleSoft HCM 9.1 HR Self Service online and PeopleSoft Payroll batch workloads to run on a unified database deployed on Oracle Database 11g Release 2. The PeopleSoft HRSS benchmark kit is a Oracle standard benchmark kit run by all platform vendors to measure the performance. It's an OLTP benchmark where DB SQLs are moderately complex. The results are certified by Oracle and a white paper is published. PeopleSoft HR SS defines a business transaction as a series of HTML pages that guide a user through a particular scenario. Users are defined as corporate Employees, Managers and HR administrators. The benchmark consist of 14 scenarios which emulate users performing typical HCM transactions such as viewing paycheck, promoting and hiring employees, updating employee profile and other typical HCM application transactions. All these transactions are well-defined in the PeopleSoft HR Self-Service 9.1 benchmark kit. This benchmark metric is the weighted average response search/save time for all the transactions. The PeopleSoft 9.1 Payroll (North America) benchmark demonstrates system performance for a range of processing volumes in a specific configuration. This workload represents large batch runs typical of a ERP environment during a mass update. The benchmark measures five application business process run times for a database representing large organization. They are Paysheet Creation, Payroll Calculation, Payroll Confirmation, Print Advice forms, and Create Direct Deposit File. The benchmark metric is the cumulative elapsed time taken to complete the Paysheet Creation, Payroll Calculation and Payroll Confirmation business application processes. The benchmark metrics are taken for each respective benchmark while running simultaneously on the same database back-end. Specifically, the payroll batch processes are started when the online workload reaches steady state (the maximum number of online users) and overlap with online transactions for the duration of the steady state. Key Points and Best Practices Two Oracle PeopleSoft Domain sets with 200 application servers each on a SPARC T4-4 server were hosted in 2 separate Oracle Solaris Zones to demonstrate consolidation of multiple application servers, ease of administration and performance tuning. Each Oracle Solaris Zone was bound to a separate processor set, each containing 15 cores (total 120 threads). The default set (1 core from first and third processor socket, total 16 threads) was used for network and disk interrupt handling. This was done to improve performance by reducing memory access latency by using the physical memory closest to the processors and offload I/O interrupt handling to default set threads, freeing up cpu resources for Application Servers threads and balancing application workload across 240 threads. See Also Oracle PeopleSoft Benchmark White Papers oracle.com SPARC T4-2 Server oracle.com OTN SPARC T4-4 Server oracle.com OTN PeopleSoft Enterprise Human Capital Management oracle.com OTN PeopleSoft Enterprise Human Capital Management (Payroll) oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Disclosure Statement Oracle's PeopleSoft HR and Payroll combined benchmark, www.oracle.com/us/solutions/benchmark/apps-benchmark/peoplesoft-167486.html, results 09/30/2012.

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  • Les netbooks connaissent une progression record de 71 % selon Gartner : qui a dit qu'ils étaient dép

    Mise à jour du 26/05/10 Les ventes de Netbooks connaissent une progression record De + 71 % par rapport au premier trimestre 2009 : qui a dit que les PC low-costs étaient morts ? 2009 avait été une année noire mais tout de même. Selon le cabinet Gartner, les ventes de PC portables auraient progressé de plus de 40 % au premier trimestre 2010 par rapport au premier trimestre 2009 (+ 43,4 %). Le cabinet précise qu'il s'agit de la plus forte progression enregistrée depuis 8 ans. Plus impressionnant encore « les Netbooks ont participé pour une part importante à la croissance, leurs ventes ont progressé de 71% par rapport à la mêm...

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  • How to set up a SPF record?

    - by MeltingDog
    The clients on my VPS are all getting spammed. The spam seemingly comes from their own email addresses - it is clear that somehow something got into my VPS and was able to capture all the email addresses that existed and is now using them to send spam. I was advised to set up a SPF record, but I am unsure what this is or how to go about it. After reading, I have figured out how to create one in CPanel, but I cannot find what to do with it now. Do I copy it into somewhere in my DNS records in Zone Management? Can anyone point me in the right direction?

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  • Club developpez.com : participation record avec 220 000 visites le 9 mars 2011

    Cher membres du club J'ai le plaisir de vous annoncer que nous avons eu le Mercredi 9 mars 2011 une participation avec un record de plus de 220 000 visites dans la journée. Je rappelle que le club developpez.com est un média qui existe depuis plus de 10 ans, et est devenu avec le temps le plus important média pour les informaticiens professionnels, avec plus de 2,2 millions de lecteurs dans le monde. Developpez propose un très grand nombre de services : actualité, cours, tutoriels, articles, faqs, forum, chat, hébergement, blogs, projets, code sources, reportages, interviews, newsletter, magazine,... Toutes ces ressources et services sont gratuits. Merci à...

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  • Now Instagram lets you record and share 15 seconds video with awesome filters

    - by Gopinath
    Instagram is one of the most popular photo sharing applications and it is very popular for amazing filters that turn an ordinary photo in to an incredible one. Today Instagram extended the filters and sharing options to videos. With the latest version of Instagram application for iOS/Android you can record videos, apply filters and share them. Recording and sharing videos on Instagram is much similar to photos and. You can capture videos up to 15 seconds and there are 13 filters to choose for processing. Wondering why the limit is at 15 seconds? Pundits are saying that TV ads are in general 15 seconds and Instagram is preparing for video ads in near future. Anyways within hours of video sharing features, Instagram is flooded with short videos and the Explore section has very interesting ones to browse through. Just like photos, you can share the captured videos to your Twitter, Facebook and other social stream from Instagram.

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  • Record and display Kinect audio and video via avconv

    - by ThomasH
    I'm trying to record audio and video from a Kinect using avconv but I seem to have trouble specifying the right options. avconv -f video4linux2 -video_size 640x480 -c:v h264 -c:a ac3 -i /dev/video1 test.mp4 results in: avconv: /build/buildd/libav-extra-0.8.3ubuntu0.12.04.1/libav/libavutil/mathematics.c:79: av_rescale_rnd: Assertion `c > 0' failed. Aborted (core dumped) Cheese is perfectly happy recording the audio and video from the Kinect, so it's not a setup issue. For added fun, I also need to display the video at the same time.

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  • De-facto standards for customer information record

    - by maasg
    I'm currently evaluating a potential new project that involves creating a DB for typical customer information (userid, pwd, first & last name, email, adress, telfnr ...). At this point, requirements are only roughly defined. The customer DB is expected in the O(millions) of records. In order to calculate some back-of-the-envelope numbers for DB sizing and evaluate potential DB options & architectures, I'm looking for some de-facto standards for these kind of records. In particular, the std size of every field (first name, last name, address,...) or typical avg for a simple customer record would be great info. With so many e-commerce websites out there, there should be some kind of typical config that can be reused and avoid re-inventing the wheel. Any ideas?

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  • record and replay directinput events

    - by cloudraven
    I am trying to build a record and replay system for a couple of games. I was wondering if I can make a general replay engine using directinput rather than doing an specific implementation for each game. Recording DirectInput events doesn't seem to be that much of a problem, but I don't know if there is a way to play them back. My question is, is there a way to feed DirectInput events from a log and make DirectInput believe that they came from mouse/joystick/keyboard? I assume it is unlikely, but if there is a way I would be interested in learning about it.

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  • Unable to record from USB sound card line-in connector

    - by tete
    I've been googling and struggling with this for a while but haven't been able to make this work. I bought a USB sound card (Encore ENMAB 8-CM) to record from its line-in connector. I'm not sure which input to pick in Audicity, but I'me sure I've tested them all. These are all the available inputs I have in Audacity. But there's no sound being recorded at all. I've already checked the device is working, so I really don't know if I'm doing something wrong. Any help will be very appreciated. Cheers.

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  • Les netbooks connaissent une progression record de 71 % selon Gartner : qui a dit qu'ils étaient dép

    Mise à jour du 26/05/10 Les ventes de netbooks connaissent une progression record De + 71 % par rapport au premier trimestre 2009 : qui a dit que les PC low-costs étaient morts ? 2009 avait été une année noire mais tout de même. Selon le cabinet Gartner, les ventes de PC portables auraient progressé de plus de 40 % au premier trimestre 2010 par rapport au premier trimestre 2009 (+ 43,4 %). Le cabinet précise qu'il s'agit de la plus forte progression enregistrée depuis 8 ans. Plus impressionnant encore « les netbooks ont participé pour une part importante à la croissance, leurs ventes ont progressé de 71% par rapport à la mêm...

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  • memcpy segmentation fault on linux but not os x

    - by Andre
    I'm working on implementing a log based file system for a file as a class project. I have a good amount of it working on my 64 bit OS X laptop, but when I try to run the code on the CS department's 32 bit linux machines, I get a seg fault. The API we're given allows writing DISK_SECTOR_SIZE (512) bytes at a time. Our log record consists of the 512 bytes the user wants to write as well as some metadata (which sector he wants to write to, the type of operation, etc). All in all, the size of the "record" object is 528 bytes, which means each log record spans 2 sectors on the disk. The first record writes 0-512 on sector 0, and 0-15 on sector 1. The second record writes 16-512 on sector 1, and 0-31 on sector 2. The third record writes 32-512 on sector 2, and 0-47 on sector 3. ETC. So what I do is read the two sectors I'll be modifying into 2 freshly allocated buffers, copy starting at record into buf1+the calculated offset for 512-offset bytes. This works correctly on both machines. However, the second memcpy fails. Specifically, "record+DISK_SECTOR_SIZE-offset" in the below code segfaults, but only on the linux machine. Running some random tests, it gets more curious. The linux machine reports sizeof(Record) to be 528. Therefore, if I tried to memcpy from record+500 into buf for 1 byte, it shouldn't have a problem. In fact, the biggest offset I can get from record is 254. That is, memcpy(buf1, record+254, 1) works, but memcpy(buf1, record+255, 1) segfaults. Does anyone know what I'm missing? Record *record = malloc(sizeof(Record)); record->tid = tid; record->opType = OP_WRITE; record->opArg = sector; int i; for (i = 0; i < DISK_SECTOR_SIZE; i++) { record->data[i] = buf[i]; // *buf is passed into this function } char* buf1 = malloc(DISK_SECTOR_SIZE); char* buf2 = malloc(DISK_SECTOR_SIZE); d_read(ad->disk, ad->curLogSector, buf1); d_read(ad->disk, ad->curLogSector+1, buf2); memcpy(buf1+offset, record, DISK_SECTOR_SIZE-offset); memcpy(buf2, record+DISK_SECTOR_SIZE-offset, offset+sizeof(Record)-sizeof(record->data));

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