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  • Product Development Investment: A Measure of Vendor Performance

    - by Jim Mcglothlin
    The relationship between a large, complex organization and its key suppliers of information technology is normally more than just "strategic". Expectations about the duration of the relationship typically exceed 20 years. Enterprise applications and technology infrastructure are not expected to be changed out like petunias. So how would you rate the due diligence processes as performed in Higher Education when selecting critical, transformational information technology? My observation: I see a lot of effort put into elaborate demonstration of basic software functionality. I see a lot of attention paid to the cost element of technology acquisition, including the contracted cost of implementation consulting services. But the factor that receives only cursory analysis and due diligence is long-term performance--the ability of a vendor to grow, expand, and develop, and bring its customers along with it. So what should you look for in a long-term IT supplier? Oracle has a public track record for product development. The annual investment has been on a run rate of almost $3 Billion organic product development. Oracle's well-publicized acquisitions and mergers have been supplemental to its R&D. This is important for Higher Education. Another meaningful way to evaluate a company is to look at the tangible track record of enhancement. Consider the Oracle-PeopleSoft enterprise business platform since acquired by Oracle 6 years ago: Product or Technology Enhancement Customer or User Impact Service Oriented Architecture (SOA) 300+ new web services delivered in versions 9.0 & 9.1 provide flexibility, so that customers can integrate PeopleSoft with other applications. Campus Solutions has added Admissions and Constituent Web Services. Constituent Relationship Management PeopleSoft CRM 9.1 for Higher Education introduced new process flows for student recruiting and retention to support "Student Success" initiatives. A 360 view of the constituent is now delivered, and the concept of a single-stop Student Services Center is now in CRM 9.1 with tight integration to PeopleSoft Campus Solutions. Human Capital Management Contract Pay for Education, with flexibility for configuration and calculation, has been extended in HCM 9.1. New chartfield integration among Project Costing - Time & Labor - Payroll to serve the labor distribution requirements for Grants / Sponsored Research. Talent Management PeopleSoft 9.0 and 9.1 feature an integrated talent management approach centered on definitions in "Profile Manager", with all new usability improvements. Internal and external candidate pools, and the entire recruitment process, are driven by delivered configurable selection and on-boarding processes. Interview scheduling, and online job offers are newly delivered processes. Performance Management PeopleSoft HCM ePerformance 9.1 will include significant new functionality designed to help organizations more effectively align business objectives with employee goals. Using an Organization Chart view, your business goals can flow down to become tangible objectives per employee. Succession Planning / Workforce Development New in HCM 9.0, enhanced in 9.1, is a planning capability for regular or unusual (major organizational change) succession of internal or external candidates. PeopleSoft supports employee-based career planning, which ultimately increases the integrity of the succession planning process (identify their career needs, plans, preferences, and interests). Dashboards / Oracle Business Intelligence Application Suite Oracle Human Resources Analytics provides the workforce information foundation that integrates data from HR functional areas and Finance. Oracle Human Resources Analytics delivers 9 dashboards and over 200 reports. Provide your HR professionals and front-line managers the tools to analyze workforce staffing, retention, productivity, to better source high-quality applicants, and to reduce absence costs. Multi-year Planning and Commitment Control External funding sources, especially Grants, require a multi-year encumbrance business process. PeopleSoft HCM 9.1 adds multi-year funding and commitment control, including budget checking. The newly designed Real Time Budget Checking will provide the customer with an updated snapshot of their budget and encumbrances at any given time. Position Budgeting with Hyperion Hyperion Planning world-class products now include delivered integration to PeopleSoft HCM. Position Budgeting is available in the new Public Sector Planning module of Hyperion. Web 2.0 features for the latest in usability PeopleSoft 9.1 features a contemporary internet user experience: Partial-page refreshing Drag and drop pagelets New menu structure Navigation pagelets Modal popup message windows Favorites & recently used links Type-ahead Drag and drop grid columns, pop-out grids Portal Workspaces Enterprise 2.0 for your collaborative web communities, using new content management, along with Wikis, blogs, and discussion forums in PeopleSoft Portal 9.1. PeopleTools enhanced by Oracle Fusion Middleware Standards-based tools have been added to the PeopleTools application infrastructure: BI (XML) Publisher, Java tools. Certified for use with PeopleSoft: Oracle Business Intelligence (OBIEE), Oracle Enterprise Manager, Oracle Weblogic Server, Oracle SOA Suite. Hosting for PeopleSoft applications A solid new deployment option: Oracle On Demand remote hosting center for high scalability, security, and continuity of operations. Business Process Outsourcing (BPO) for HCM / Payroll functions Partnership with AT&T provides hosting of HR/Payroll application along with payroll business process operations, and subscription-based service fees (SaaS). AT&T BPO full service includes pay sheet processing, bank and 3rd party file transfer, payroll tax handling, etc. Continuous Delivery Model Feature Packs provide faster time-to-benefit; new features become available in PeopleSoft 9.1 (or Campus Solutions 9.0) without need to perform upgrade. Golden person data model across all campus applications Oracle Higher Education Constituent Hub provides synchronization and data governance of person data across any application, e.g. HR/ Payroll, Student Information System, Housing, Emergency Contact, LMS, CRM. Oracle's aggressive enhancement plans within the "Applications Unlimited" program continue, as new functionality is under development for a new version of a PeopleSoft release planned for 2012. Meanwhile, new capabilities are planned on an annual basis in Feature Packs. PeopleSoft just delivered the HCM 2010 Feature Pack and another is planned for 2011. In February we plan to have over 100 customers from our Customer Advisory Boards at our PeopleSoft Development Center in California to review designs for all of these releases. For those of you near New York City The investment and progressive development story described above is the subject of an Oracle road show event on February 9, 2011. Charting Your Course with Oracle Applications is a global event series designed to help business and IT executives assess the impact of new inflection points on their business and applications roadmap: changing workforces, shifting customer and constituent bases, and increased volatility. Learn how innovations ranging from new deployment models like cloud computing to the introduction of social applications and smart devices are delivering results across all areas of business and industry. THIS DOCUMENT IS FOR INFORMATIONAL PURPOSES ONLY AND MAY NOT BE INCORPORATED INTO A CONTRACT OR AGREEMENT.

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  • Battery management of a Macbook

    - by darthvader
    I bought a Macbook Pro last week. I mostly use (and plan to use) it like a desktop with an external monitor. I use the system at least 15 hours a day. Now using the coconut battery application, I figured out that the capacity has the current capacity has reduced to 98% of the design capacity. I was wondering what is the best way to manage battery. Should it be always either charging or discharging Should it be plugged in all time. I barely get 2 hours and 30 minutes on battery. Is that normal? I run XCode, VMWare Fusion (for Visual Studio), Mail app, Chrome (5-10 tabs) and Itunes (mp3). The brightness is 60% on battery. I already did the calibration.

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  • Understanding ESXi and Memory Usage

    - by John
    Hi, I am currently testing VMWare ESXi on a test machine. My host machine has 4gigs of ram. I have three guests and each is assigned a memory limit of 1 GB (and only 512 MB reserved). The host summary screen shows a memory capacity of 4082.55 MB and a usage of 2828 MB with two guests running. This seems to make sense, two gigs for each VM plus an overhead for the host. 800MB seems high but that is still reasonable. But on the Resource Allocation Screen I see a memory capacity of 2356 MB and an available capacity of 596 MB. Under the configuration tab, memory link I see a physical total of 4082.5 MB, System of 531.5 MB and VM of 3551.0 MB. I have only allocated my VMs for a gig each, and with two VMs running they are taking up almost two times the amount of ram allocated. Why is this, and why does the Resource Allocation screen short change me so much?

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  • Common filesystem for servers behind a rackspace load balancer

    - by thanos panousis
    Our PHP application consists of a single web server that will receive files from clients and perform a CPU-intensive analysis on them. Right now, analysis of a single user upload can take 3sec to conclude and take 100% CPU. This makes our system capacity amount to 1/3 requests per second. My team's requirement is to increase capacity without a lot of code reengineering. A possible solution would be to set up a load balancer in front of multiple servers running the same app, connecting to a common DB. The problem is that the analysis outputs files on disk. A load balancer would increase capacity, but then files won't be available between servers so consequent client requests may fail. We are hosted on Rackspace, is there a way to configure some sort of "common" storage for all servers, without having to rewrite our file persistance code? Current code relies on simple fopens etc. What are our options?

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  • Server Requirement and Cost for an android Application [duplicate]

    - by CagkanToptas
    This question already has an answer here: How do you do load testing and capacity planning for web sites? 3 answers Can you help me with my capacity planning? 2 answers I am working on a project which is an android application. For my project proposal, I need to calculate what is my server requirements to overcome the traffic I explained below? and if possible, I want to learn what is approximate cost of such server? I am giving the maximum expected values for calculation : -Database will be in mysql (Average service time of DB is 100-110ms in my computer[i5,4GB Ram]) -A request will transfer 150Kb data for each request on average. -Total user count : 1m -Active user count : 50k -Estimated request/sec for 1 active user : 0.06 -Total expected request/second to the server = ~5000 I am expecting this traffic between 20:00-1:00 everyday and then this values will decrease to 1/10 rest of the day. Is there any solution to this? [e.g increasing server capacity in a specific time period everyday to reduce cost]

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  • [Closed] Oracle JDBC connection with Weblogic 10 datasource mapping, giving problem java.sql.SQLExce

    - by gauravkarnatak
    Oracle JDBC connection with Weblogic 10 datasource mapping, giving problem java.sql.SQLException: Closed Connection I am using weblogic 10 JNDI datasource to create JDBC connections, below is my config <?xml version="1.0" encoding="UTF-8"?> <jdbc-data-source xmlns="http://www.bea.com/ns/weblogic/90" xmlns:sec="http://www.bea.com/ns/weblogic/90/security" xmlns:wls="http://www.bea.com/ns/weblogic/90/security/wls" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.bea.com/ns/weblogic/920 http://www.bea.com/ns/weblogic/920.xsd"> <name>XL-Reference-DS</name> <jdbc-driver-params> <url>jdbc:oracle:oci:@abc.XL.COM</url> <driver-name>oracle.jdbc.driver.OracleDriver</driver-name> <properties> <property> <name>user</name> <value>DEV_260908</value> </property> <property> <name>password</name> <value>password</value> </property> <property> <name>dll</name> <value>ocijdbc10</value> </property> <property> <name>protocol</name> <value>oci</value> </property> <property> <name>oracle.jdbc.V8Compatible</name> <value>true</value> </property> <property> <name>baseDriverClass</name> <value>oracle.jdbc.driver.OracleDriver</value> </property> </properties> </jdbc-driver-params> <jdbc-connection-pool-params> <initial-capacity>1</initial-capacity> <max-capacity>100</max-capacity> <capacity-increment>1</capacity-increment> <test-connections-on-reserve>true</test-connections-on-reserve> <test-table-name>SQL SELECT 1 FROM DUAL</test-table-name> </jdbc-connection-pool-params> <jdbc-data-source-params> <jndi-name>ReferenceData</jndi-name> <global-transactions-protocol>OnePhaseCommit</global-transactions-protocol> </jdbc-data-source-params> </jdbc-data-source> When I run a bulk task where there are lots of connections made and closed, sometimes it gives connection closed exception for any of the task in the bulk task. Below is detailed exception' java.sql.SQLException: Closed Connection at oracle.jdbc.driver.DatabaseError.throwSqlException(DatabaseError.java:111) at oracle.jdbc.driver.DatabaseError.throwSqlException(DatabaseError.java:145) at oracle.jdbc.driver.DatabaseError.throwSqlException(DatabaseError.java:207) at oracle.jdbc.driver.OracleStatement.ensureOpen(OracleStatement.java:3512) at oracle.jdbc.driver.OraclePreparedStatement.executeInternal(OraclePreparedStatement.java:3265) at oracle.jdbc.driver.OraclePreparedStatement.executeUpdate(OraclePreparedStatement.java:3367) Any ideas?

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  • Laptop drains of quickly with battery

    - by Shyam
    I am a user since years in ubuntu and I have not come across this problem with ubuntu till date. My battery drains off immediately after I unplug my AC power. The options I tried: 1) checked the battery state with : cat /proc/acpi/battery/BAT0/state present: yes capacity state: ok charging state: charged present rate: 0 mA remaining capacity: 392 mAh present voltage: 12476 mV Initially it was showing charging state: charging after 5mins it started displaying as charged. ! Based on that if I remove my AC Power it shows low battery notification. 2) When I run acpi : acpi -b Battery 0: Unknown, 9% The battery state shows as unknown. But initially when we plug-in to AC adapter acpi -b Battery 0: Charging, 9%, 13:04:00 until charged 3) When the check the same with : upower -i /org/freedesktop/UPower/devices/battery_BAT0 native-path: /sys/devices/LNXSYSTM:00/device:00/PNP0A08:00/device:02/PNP0C09:00/PNP0C0A:00/power_supply/BAT0 vendor: HP power supply: yes updated: Thu Nov 1 16:06:40 2012 (20 seconds ago) has history: yes has statistics: yes battery present: yes rechargeable: yes state: charging energy: 4.2336 Wh energy-empty: 0 Wh energy-full: 33.1128 Wh energy-full-design: 33.1128 Wh energy-rate: 5.6052 W voltage: 12.474 V time to full: 5.2 hours percentage: 12.7854% capacity: 100% technology: lithium-ion Is the power stats output, It says 5hrs to charge completely, If I charge it even more than 5hrs and unplug the AC power, It again cribs stating LOW BATTERY !! The same thing does not happen with Windows7. Any suggestions/ help will be greatly appreciated.

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  • mdadm starts resync on every boot

    - by Anteru
    Since a few days (and I'm positive it started shortly before I updated my server from 13.04-13.10) my mdadm is resyncing on every boot. In the syslog, I get the following output [ 0.809256] md: linear personality registered for level -1 [ 0.811412] md: multipath personality registered for level -4 [ 0.813153] md: raid0 personality registered for level 0 [ 0.815201] md: raid1 personality registered for level 1 [ 1.101517] md: raid6 personality registered for level 6 [ 1.101520] md: raid5 personality registered for level 5 [ 1.101522] md: raid4 personality registered for level 4 [ 1.106825] md: raid10 personality registered for level 10 [ 1.935882] md: bind<sdc1> [ 1.943367] md: bind<sdb1> [ 1.945199] md/raid1:md0: not clean -- starting background reconstruction [ 1.945204] md/raid1:md0: active with 2 out of 2 mirrors [ 1.945225] md0: detected capacity change from 0 to 2000396680192 [ 1.945351] md: resync of RAID array md0 [ 1.945357] md: minimum _guaranteed_ speed: 1000 KB/sec/disk. [ 1.945359] md: using maximum available idle IO bandwidth (but not more than 200000 KB/sec) for resync. [ 1.945362] md: using 128k window, over a total of 1953512383k. [ 2.220468] md0: unknown partition table I'm not sure what's up with that detected capacity change, looking at some old logs, this does have appeared earlier as well without a resync right afterwards. In fact, I let it run yesterday until completion and rebooted, and then it wouldn't resync, but today it does resync again. For instance, yesterday I got: [ 1.872123] md: bind<sdc1> [ 1.950946] md: bind<sdb1> [ 1.952782] md/raid1:md0: active with 2 out of 2 mirrors [ 1.952807] md0: detected capacity change from 0 to 2000396680192 [ 1.954598] md0: unknown partition table So it seems to be a problem that the RAID array does not get marked as clean after every shutdown? How can I troubleshoot this? The disks themselves are both fine, SMART tells me no errors, everything ok.

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  • Big Data Appliance X4-2 Release Announcement

    - by Jean-Pierre Dijcks
    Today we are announcing the release of the 3rd generation Big Data Appliance. Read the Press Release here. Software Focus The focus for this 3rd generation of Big Data Appliance is: Comprehensive and Open - Big Data Appliance now includes all Cloudera Software, including Back-up and Disaster Recovery (BDR), Search, Impala, Navigator as well as the previously included components (like CDH, HBase and Cloudera Manager) and Oracle NoSQL Database (CE or EE). Lower TCO then DIY Hadoop Systems Simplified Operations while providing an open platform for the organization Comprehensive security including the new Audit Vault and Database Firewall software, Apache Sentry and Kerberos configured out-of-the-box Hardware Update A good place to start is to quickly review the hardware differences (no price changes!). On a per node basis the following is a comparison between old and new (X3-2) hardware: Big Data Appliance X3-2 Big Data Appliance X4-2 CPU 2 x 8-Core Intel® Xeon® E5-2660 (2.2 GHz) 2 x 8-Core Intel® Xeon® E5-2650 V2 (2.6 GHz) Memory 64GB 64GB Disk 12 x 3TB High Capacity SAS 12 x 4TB High Capacity SAS InfiniBand 40Gb/sec 40Gb/sec Ethernet 10Gb/sec 10Gb/sec For all the details on the environmentals and other useful information, review the data sheet for Big Data Appliance X4-2. The larger disks give BDA X4-2 33% more capacity over the previous generation while adding faster CPUs. Memory for BDA is expandable to 512 GB per node and can be done on a per-node basis, for example for NameNodes or for HBase region servers, or for NoSQL Database nodes. Software Details More details in terms of software and the current versions (note BDA follows a three monthly update cycle for Cloudera and other software): Big Data Appliance 2.2 Software Stack Big Data Appliance 2.3 Software Stack Linux Oracle Linux 5.8 with UEK 1 Oracle Linux 6.4 with UEK 2 JDK JDK 6 JDK 7 Cloudera CDH CDH 4.3 CDH 4.4 Cloudera Manager CM 4.6 CM 4.7 And like we said at the beginning it is important to understand that all other Cloudera components are now included in the price of Oracle Big Data Appliance. They are fully supported by Oracle and available for all BDA customers. For more information: Big Data Appliance Data Sheet Big Data Connectors Data Sheet Oracle NoSQL Database Data Sheet (CE | EE) Oracle Advanced Analytics Data Sheet

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  • Powershell variables to string

    - by Mike Koerner
    I'm new to powershell. I'm trying to write an error handler to wrap around my script.  Part of the error handler is dumping out some variable settings.  I spent a while trying to do this and couldn't google a complete solution so I thought I'd post something. I want to display the $myinvocation variable. In powershell you can do this PS C:\> $myInvocation for my purpose I want to create a stringbuilder object and append the $myinvocation info.  I tried this $sbOut = new-object System.Text.Stringbuilder $sbOut.appendLine($myinvocation) $sbOut.ToString() This produces                                    Capacity                                MaxCapacity                                     Length                                    --------                                -----------                                     ------                                          86                                 2147483647                                         45 System.Management.Automation.InvocationInfo This is not what I wanted so I tried $sbOut.appendLine(($myinvocation|format-list *)) This produced                                    Capacity                                MaxCapacity                                     Length                                    --------                                -----------                                     ------                                         606                                 2147483647                                        305 Microsoft.PowerShell.Commands.Internal.Format.FormatStartData Microsoft.PowerShell.Commands.Internal.Format.GroupStartData Micros oft.PowerShell.Commands.Internal.Format.FormatEntryData Microsoft.PowerShell.Commands.Internal.Format.GroupEndData Microsoft.Powe rShell.Commands.Internal.Format.FormatEndData Finally I figured out how to produce what I wanted: $sbOut = new-object System.Text.Stringbuilder [void]$sbOut.appendLine(($myinvocation|out-string)) $sbOut.ToString() MyCommand        : $sbOut = new-object System.Text.Stringbuilder                                    [void]$sbOut.appendLine(($myinvocation|out-string))                                      $sbOut.ToString()                    BoundParameters  : {} UnboundArguments : {} ScriptLineNumber : 0 OffsetInLine     : 0 HistoryId        : 13 ScriptName       : Line             : PositionMessage  : InvocationName   : PipelineLength   : 2 PipelinePosition : 1 ExpectingInput   : False CommandOrigin    : Runspace Note the [void] in front of the stringbuilder variable doesn't show the Capacity,MaxCapacity of the stringbuilder object.  The pipe to out-string makes the output a string. It's not pretty but it works.

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  • USB mass storage couldn't get mounted

    - by revo
    It's my android phone SD card which was indicated damaged by android yesterday night, out of the blue! I put it directly to a USB port with a USB SD card holder case, so in that way I can recover it with TestDisk, which I had experienced before on a similar situation. I also noticed that there is a change in file system and capacity: File System : RAW Capacity : 0 (unknown capacity) Also TestDisk doesn't show it on its partitions list. A 2 GB SD card is not that important in price but I've a lot of files and medias which I need them. Used a mini card reader, TestDisk displayed it on its list but a quick search and or a deep search doesn't have any results No partition found or selected for recovery and then I should quit the program. Your help is appreciated. Update #2 lsusb output: Bus 005 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Bus 002 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub Bus 004 Device 002: ID 04f3:0234 Elan Microelectronics Corp. Bus 004 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Bus 001 Device 002: ID 058f:6366 Alcor Micro Corp. Multi Flash Reader Bus 001 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub Bus 003 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Bus 009 Device 001: ID 1d6b:0003 Linux Foundation 3.0 root hub Bus 008 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub Bus 007 Device 001: ID 1d6b:0003 Linux Foundation 3.0 root hub Bus 006 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub

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  • Oracle Hyperion si conferma leader nel Magic Quadrant Gartner 2012

    - by Andrea Cravero
    L'edizione 2012 del Gartner Magic Quadrant for Corporate Performance Management Suites conferma la leadership Oracle Hyperion, che dura ininterrotta dal 2005. Secondo Gartner, "Oracle is a Leader in CPM suites, with one of the most widely distributed solutions in the market. Oracle Hyperion Enterprise Performance Management is recognized by CFOs worldwide. The vendor has a well-established partner channel, with both large and smaller CPM SI specialists. Hyperion skills are also plentiful among the independent consultant community, given the well-established products." "Oracle continues to innovate, bringing incremental improvements across the portfolio as well as new financial close management, disclosure management and predictive planning additions. Furthermore, Oracle has improved integration of Hyperion with the Oracle BI platform, and has improved planning performance, enabling Hyperion Planning to use Oracle Exalytics In-Memory Machine." Il rapporto completo è disponibile qui: Gartner: Magic Quadrant for Corporate Performance Management Suites, 2012 Buona lettura!

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  • Gartner: Magic Quadrant for Corporate Performance Management Suites, 2012

    - by Mike.Hallett(at)Oracle-BI&EPM
    Hyperion clearly leads the pack again in Gartner’s analysis of the CPM / EPM market, saying; “Oracle is a Leader in CPM suites, with one of the most widely distributed solutions in the market. Oracle Hyperion Enterprise Performance Management is recognized by CFOs worldwide. The vendor has a well-established partner channel, with both large and smaller CPM SI specialists. Hyperion skills are also plentiful among the independent consultant community, given the well-established products. “ “Oracle continues to innovate, bringing incremental improvements across the portfolio as well as new financial close management, disclosure management and predictive planning additions. Furthermore, Oracle has improved integration of Hyperion with the Oracle BI platform, and has improved planning performance, enabling Hyperion Planning to use Oracle Exalytics In-Memory Machine.” For the full article see here: Gartner: Magic Quadrant for Corporate Performance Management Suites, 2012 And if you missed it, here is also the MQ for BI: Gartner: Magic Quadrant for Business Intelligence Platforms, 2012

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  • Java EE and GlassFish Server Roadmap Update

    - by John Clingan
    2013 has been a stellar year for both the Java EE and GlassFish Server communities. On June 12, Oracle and its partners announced the release of Java EE 7, which delivers on three major themes – HTML5, developer productivity, and meeting enterprise demands. The online event attracted over 10,000 views in the first two days! During the online event, Oracle also announced the availability of GlassFish Server Open Source Edition 4, the world's first Java EE 7 compatible application server. The primary role of GlassFish Server Open Source Edition has been, and continues to be, driving adoption of the latest release of the Java Platform, Enterprise Edition. Oracle also announced the Java EE 7 SDK, which bundles GlassFish Server Open Source Edition 4, as a Java EE 7 learning aid. Last, Oracle publicly announced the Java EE 7 reference implementation based on GlassFish Server Open Source Edition 4. Java EE is a popular platform, as evidenced by the 20+ Java EE 6 compatible implementations available to choose from. After the launch of Java EE 7 and GlassFish Server Open Source Edition 4, we began planning the Java EE 8 roadmap, which was covered during the JavaOne Strategy Keynote. To summarize, there is a lot of interest in improving on HTML5 support, Cloud, and investigating NoSQL support. We received a lot of great feedback from the community and customers on what they would like to see in Java EE 8. As we approached JavaOne 2013, we started planning the GlassFish Server roadmap. What we announced at JavaOne was that GlassFish Server Open Source Edition 4.1 is scheduled for 2014. Here is an update to that roadmap. GlassFish Server Open Source Edition 4.1 is scheduled for 2014 We are planning updates as needed to GlassFish Server Open Source Edition, which is commercially unsupported As we head towards Java EE 8: The trunk will eventually transition to GlassFish Server Open Source Edition 5 as a Java EE 8 implementation The Java EE 8 Reference Implementation will be derived from GlassFish Server Open Source Edition 5. This replicates what has been done in past Java EE and GlassFish Server releases. Oracle will no longer release future major releases of Oracle GlassFish Server with commercial support – specifically Oracle GlassFish Server 4.x with commercial Java EE 7 support will not be released. Commercial Java EE 7 support will be provided from WebLogic Server. Oracle GlassFish Server will not be releasing a 4.x commercial version Expanding on that last bullet, new and existing Oracle GlassFish Server 2.1.x and 3.1.x commercial customers will continue to be supported according to the Oracle Lifetime Support Policy. Oracle recommends that existing commercial Oracle GlassFish Server customers begin planning to move to Oracle WebLogic Server, which is a natural technical and license migration path forward: Applications developed to Java EE standards can be deployed to both GlassFish Server and Oracle WebLogic Server GlassFish Server and Oracle WebLogic Server have implementation-specific deployment descriptor interoperability (here and here). GlassFish Server 3.x and Oracle WebLogic Server share quite a bit of code, so there are quite a bit of configuration and (extended) feature similarities. Shared code includes JPA, JAX-RS, WebSockets (pre JSR 356 in both cases), CDI, Bean Validation, JAX-WS, JAXB, and WS-AT. Both Oracle GlassFish Server 3.x and Oracle WebLogic Server 12c support Oracle Access Manager, Oracle Coherence, Oracle Directory Server, Oracle Virtual Directory, Oracle Database, Oracle Enterprise Manager and are entitled to support for the underlying Oracle JDK. To summarize, Oracle is committed to the future of Java EE.  Java EE 7 has been released and planning for Java EE 8 has begun. GlassFish Server Open Source Edition continues to be the strategic foundation for Java EE reference implementation going forward. And for developers, updates will be delivered as needed to continue to deliver a great developer experience for GlassFish Server Open Source Edition. We are planning for GlassFish Server Open Source Edition 5 as the foundation for the Java EE 8 reference implementation, as well as bundling GlassFish Server Open Source Edition 5 in a Java EE 8 SDK, which is the most popular distribution of GlassFish. This will allow GlassFish releases to be more focused on the Java EE platform and community-driven requirements. We continue to encourage community contributions, bug reports, participation on the GlassFish forum, etc. Going forward, Oracle WebLogic Server will be the single strategic commercially supported application server from Oracle. Disclaimer: The preceding is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract.It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.

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  • apache fails to connect to tomcat (Worker config?)

    - by techventure
    I have a tomcat 6 with follwoing server.xml: <Connector port="8253" maxThreads="150" minSpareThreads="25" maxSpareThreads="75" enableLookups="false" redirectPort="8445" acceptCount="100" debug="0" connectionTimeout="20000" disableUploadTimeout="true" /> <Connector port="8014" protocol="AJP/1.3" redirectPort="8445" /> and in added worker.properties: # Set properties for worker4 (ajp13) worker.worker4.type=ajp13 worker.worker4.host=localhost worker.worker4.port=8014 and i put in httpd.conf: JkMount /myWebApp/* worker4 It is not working a as trying to navigate to www1.myCompany.com/myWebApp gives "Service Temporarily Unavailable". I checked in tomcat catalina.out and it says: INFO: JK: ajp13 listening on /0.0.0.0:8014 UPDATE: i put mod_jk log level to debug and below is the result: [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_set_time_fmt::jk_util.c (458): Pre-processed log time stamp format is '[%a %b %d %H:%M:%S %Y] ' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] uri_worker_map_open::jk_uri_worker_map.c (770): rule map size is 8 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] uri_worker_map_add::jk_uri_worker_map.c (720): wildchar rule '/myWebApp/*=worker4' source 'JkMount' was added [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (171): uri map dump after map open: index=0 file='(null)' reject_unsafe=0 reload=60 modified=0 checked=0 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (176): generation 0: size=0 nosize=0 capacity=0 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (176): generation 1: size=8 nosize=0 capacity=8 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (186): NEXT (1) map #3: uri=/myWebApp/* worker=worker4 context=/myWebApp/* source=JkMount type=Wildchar len=6 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_set_time_fmt::jk_util.c (458): Pre-processed log time stamp format is '[%a %b %d %H:%M:%S %Y] ' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] init_jk::mod_jk.c (3123): Setting default connection pool max size to 1 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_read_property::jk_map.c (491): Adding property 'worker.list' with value 'worker1,worker2,worker3,worker4' to map. [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_read_property::jk_map.c (491): Adding property 'worker.worker4.type' with value 'ajp13' to map. [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_read_property::jk_map.c (491): Adding property 'worker.worker4.host' with value 'localhost' to map. [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_read_property::jk_map.c (491): Adding property 'worker.worker4.port' with value '8014' to map. [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_resolve_references::jk_map.c (774): Checking for references with prefix worker. with wildcard (recursion 1) [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_shm_calculate_size::jk_shm.c (132): shared memory will contain 4 ajp workers of size 256 and 0 lb workers of size 320 with 0 members of size 320+256 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [error] init_jk::mod_jk.c (3166): Initializing shm:/var/log/httpd/mod_jk.shm.9552 errno=13. Load balancing workers will not function properly. [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'ServerRoot' -> '/etc/httpd' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.list' -> 'worker1,worker2,worker3,worker4' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker1.type' -> 'ajp13' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker1.host' -> 'localhost' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker1.port' -> '8009' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker2.type' -> 'ajp13' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker2.host' -> 'localhost' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker2.port' -> '8010' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker3.type' -> 'ajp13' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker3.host' -> 'localhost' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker3.port' -> '8112' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker4.type' -> 'ajp13' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker4.host' -> 'localhost' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker4.port' -> '8014' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] build_worker_map::jk_worker.c (242): creating worker worker4 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] wc_create_worker::jk_worker.c (146): about to create instance worker4 of ajp13 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] wc_create_worker::jk_worker.c (159): about to validate and init worker4 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_validate::jk_ajp_common.c (2512): worker worker4 contact is 'localhost:8014' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_init::jk_ajp_common.c (2699): setting endpoint options: [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_init::jk_ajp_common.c (2702): keepalive: 0 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_init::jk_ajp_common.c (2706): socket timeout: 0 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_init::jk_ajp_common.c (2710): socket connect timeout: 0 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_init::jk_ajp_common.c (2714): buffer size: 0 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_init::jk_ajp_common.c (2718): pool timeout: 0 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_init::jk_ajp_common.c (2722): ping timeout: 10000 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_init::jk_ajp_common.c (2726): connect timeout: 0 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_init::jk_ajp_common.c (2730): reply timeout: 0 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_init::jk_ajp_common.c (2734): prepost timeout: 0 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_init::jk_ajp_common.c (2738): recovery options: 0 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_init::jk_ajp_common.c (2742): retries: 2 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_init::jk_ajp_common.c (2746): max packet size: 8192 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_init::jk_ajp_common.c (2750): retry interval: 100 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] ajp_create_endpoint_cache::jk_ajp_common.c (2562): setting connection pool size to 1 with min 1 and acquire timeout 200 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [info] init_jk::mod_jk.c (3183): mod_jk/1.2.28 initialized [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] wc_get_worker_for_name::jk_worker.c (116): found a worker worker4 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] wc_get_name_for_type::jk_worker.c (293): Found worker type 'ajp13' [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] uri_worker_map_ext::jk_uri_worker_map.c (512): Checking extension for worker 3: worker4 of type ajp13 (2) [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (171): uri map dump after extension stripping: index=0 file='(null)' reject_unsafe=0 reload=60 modified=0 checked=0 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (176): generation 0: size=0 nosize=0 capacity=0 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (176): generation 1: size=8 nosize=0 capacity=8 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (186): NEXT (1) map #3: uri=/myWebApp/* worker=worker4 context=/myWebApp/* source=JkMount type=Wildchar len=6 [Wed Jun 13 18:44:26 2012] [9552:3086317328] [debug] uri_worker_map_switch::jk_uri_worker_map.c (482): Switching uri worker map from index 0 to index 1 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_set_time_fmt::jk_util.c (458): Pre-processed log time stamp format is '[%a %b %d %H:%M:%S %Y] ' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] uri_worker_map_open::jk_uri_worker_map.c (770): rule map size is 8 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] uri_worker_map_add::jk_uri_worker_map.c (720): wildchar rule '/myWebApp/*=worker4' source 'JkMount' was added [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (171): uri map dump after map open: index=0 file='(null)' reject_unsafe=0 reload=60 modified=0 checked=0 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (176): generation 0: size=0 nosize=0 capacity=0 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (176): generation 1: size=8 nosize=0 capacity=8 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (186): NEXT (1) map #0: uri=/jsp-examples/* worker=worker1 context=/jsp-examples/* source=JkMount type=Wildchar len=15 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (186): NEXT (1) map #3: uri=/myWebApp/* worker=worker4 context=/myWebApp/* source=JkMount type=Wildchar len=6 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_set_time_fmt::jk_util.c (458): Pre-processed log time stamp format is '[%a %b %d %H:%M:%S %Y] ' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] init_jk::mod_jk.c (3123): Setting default connection pool max size to 1 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_read_property::jk_map.c (491): Adding property 'worker.list' with value 'worker1,worker2,worker3,worker4' to map. [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_read_property::jk_map.c (491): Adding property 'worker.worker4.type' with value 'ajp13' to map. [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_read_property::jk_map.c (491): Adding property 'worker.worker4.host' with value 'localhost' to map. [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_read_property::jk_map.c (491): Adding property 'worker.worker4.port' with value '8014' to map. [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_resolve_references::jk_map.c (774): Checking for references with prefix worker. with wildcard (recursion 1) [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_shm_calculate_size::jk_shm.c (132): shared memory will contain 4 ajp workers of size 256 and 0 lb workers of size 320 with 0 members of size 320+256 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [error] init_jk::mod_jk.c (3166): Initializing shm:/var/log/httpd/mod_jk.shm.9553 errno=13. Load balancing workers will not function properly. [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'ServerRoot' -> '/etc/httpd' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.list' -> 'worker1,worker2,worker3,worker4' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker1.type' -> 'ajp13' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker1.host' -> 'localhost' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker1.port' -> '8009' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker2.type' -> 'ajp13' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker2.host' -> 'localhost' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker2.port' -> '8010' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker3.type' -> 'ajp13' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker3.host' -> 'localhost' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker3.port' -> '8112' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker4.type' -> 'ajp13' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker4.host' -> 'localhost' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] jk_map_dump::jk_map.c (589): Dump of map: 'worker.worker4.port' -> '8014' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] build_worker_map::jk_worker.c (242): creating worker worker4 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] wc_create_worker::jk_worker.c (146): about to create instance worker4 of ajp13 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] wc_create_worker::jk_worker.c (159): about to validate and init worker4 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_validate::jk_ajp_common.c (2512): worker worker4 contact is 'localhost:8014' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_init::jk_ajp_common.c (2699): setting endpoint options: [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_init::jk_ajp_common.c (2702): keepalive: 0 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_init::jk_ajp_common.c (2706): socket timeout: 0 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_init::jk_ajp_common.c (2710): socket connect timeout: 0 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_init::jk_ajp_common.c (2714): buffer size: 0 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_init::jk_ajp_common.c (2718): pool timeout: 0 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_init::jk_ajp_common.c (2722): ping timeout: 10000 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_init::jk_ajp_common.c (2726): connect timeout: 0 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_init::jk_ajp_common.c (2730): reply timeout: 0 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_init::jk_ajp_common.c (2734): prepost timeout: 0 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_init::jk_ajp_common.c (2738): recovery options: 0 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_init::jk_ajp_common.c (2742): retries: 2 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_init::jk_ajp_common.c (2746): max packet size: 8192 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_init::jk_ajp_common.c (2750): retry interval: 100 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] ajp_create_endpoint_cache::jk_ajp_common.c (2562): setting connection pool size to 1 with min 1 and acquire timeout 200 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [info] init_jk::mod_jk.c (3183): mod_jk/1.2.28 initialized [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] wc_get_worker_for_name::jk_worker.c (116): found a worker worker4 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] wc_get_name_for_type::jk_worker.c (293): Found worker type 'ajp13' [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] uri_worker_map_ext::jk_uri_worker_map.c (512): Checking extension for worker 3: worker4 of type ajp13 (2) [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (171): uri map dump after extension stripping: index=0 file='(null)' reject_unsafe=0 reload=60 modified=0 checked=0 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (176): generation 0: size=0 nosize=0 capacity=0 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (176): generation 1: size=8 nosize=0 capacity=8 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] uri_worker_map_dump::jk_uri_worker_map.c (186): NEXT (1) map #3: uri=/myWebApp/* worker=worker4 context=/myWebApp/* source=JkMount type=Wildchar len=6 [Wed Jun 13 18:44:26 2012] [9553:3086317328] [debug] uri_worker_map_switch::jk_uri_worker_map.c (482): Switching uri worker map from index 0 to index 1 [Wed Jun 13 18:44:26 2012] [9555:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9556:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9557:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9558:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9559:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9560:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9561:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9562:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9563:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9564:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9565:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9567:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9568:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9566:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9569:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:26 2012] [9570:3086317328] [debug] jk_child_init::mod_jk.c (3068): Initialized mod_jk/1.2.28 [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] map_uri_to_worker_ext::jk_uri_worker_map.c (1036): Attempting to map URI '/myWebApp/jsp/login.faces' from 8 maps [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] find_match::jk_uri_worker_map.c (850): Attempting to map context URI '/myWebApp/*=worker4' source 'JkMount' [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] find_match::jk_uri_worker_map.c (863): Found a wildchar match '/myWebApp/*=worker4' [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] jk_handler::mod_jk.c (2459): Into handler jakarta-servlet worker=worker4 r->proxyreq=0 [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] wc_get_worker_for_name::jk_worker.c (116): found a worker worker4 [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] wc_maintain::jk_worker.c (339): Maintaining worker worker1 [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] wc_maintain::jk_worker.c (339): Maintaining worker worker2 [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] wc_maintain::jk_worker.c (339): Maintaining worker worker3 [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] wc_maintain::jk_worker.c (339): Maintaining worker worker4 [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] wc_get_name_for_type::jk_worker.c (293): Found worker type 'ajp13' [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] init_ws_service::mod_jk.c (977): Service protocol=HTTP/1.1 method=GET ssl=false host=(null) addr=167.184.214.6 name=www1.myCompany.com.au port=80 auth=(null) user=(null) laddr=10.215.222.78 raddr=167.184.214.6 uri=/myWebApp/jsp/login.faces [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] ajp_get_endpoint::jk_ajp_common.c (2977): acquired connection pool slot=0 after 0 retries [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] ajp_marshal_into_msgb::jk_ajp_common.c (605): ajp marshaling done [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] ajp_service::jk_ajp_common.c (2283): processing worker4 with 2 retries [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] ajp_send_request::jk_ajp_common.c (1501): (worker4) all endpoints are disconnected. [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] jk_open_socket::jk_connect.c (452): socket TCP_NODELAY set to On [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] jk_open_socket::jk_connect.c (576): trying to connect socket 18 to 127.0.0.1:8014 [Wed Jun 13 18:44:54 2012] [9555:3086317328] [info] jk_open_socket::jk_connect.c (594): connect to 127.0.0.1:8014 failed (errno=13) [Wed Jun 13 18:44:54 2012] [9555:3086317328] [info] ajp_connect_to_endpoint::jk_ajp_common.c (922): Failed opening socket to (127.0.0.1:8014) (errno=13) [Wed Jun 13 18:44:54 2012] [9555:3086317328] [error] ajp_send_request::jk_ajp_common.c (1507): (worker4) connecting to backend failed. Tomcat is probably not started or is listening on the wrong port (errno=13) [Wed Jun 13 18:44:54 2012] [9555:3086317328] [info] ajp_service::jk_ajp_common.c (2447): (worker4) sending request to tomcat failed (recoverable), because of error during request sending (attempt=1) [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] ajp_service::jk_ajp_common.c (2304): retry 1, sleeping for 100 ms before retrying [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] ajp_send_request::jk_ajp_common.c (1501): (worker4) all endpoints are disconnected. [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] jk_open_socket::jk_connect.c (452): socket TCP_NODELAY set to On [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] jk_open_socket::jk_connect.c (576): trying to connect socket 18 to 127.0.0.1:8014 [Wed Jun 13 18:44:54 2012] [9555:3086317328] [info] jk_open_socket::jk_connect.c (594): connect to 127.0.0.1:8014 failed (errno=13) [Wed Jun 13 18:44:54 2012] [9555:3086317328] [info] ajp_connect_to_endpoint::jk_ajp_common.c (922): Failed opening socket to (127.0.0.1:8014) (errno=13) [Wed Jun 13 18:44:54 2012] [9555:3086317328] [error] ajp_send_request::jk_ajp_common.c (1507): (worker4) connecting to backend failed. Tomcat is probably not started or is listening on the wrong port (errno=13) [Wed Jun 13 18:44:54 2012] [9555:3086317328] [info] ajp_service::jk_ajp_common.c (2447): (worker4) sending request to tomcat failed (recoverable), because of error during request sending (attempt=2) [Wed Jun 13 18:44:54 2012] [9555:3086317328] [error] ajp_service::jk_ajp_common.c (2466): (worker4) connecting to tomcat failed. [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] ajp_reset_endpoint::jk_ajp_common.c (743): (worker4) resetting endpoint with sd = 4294967295 (socket shutdown) [Wed Jun 13 18:44:54 2012] [9555:3086317328] [debug] ajp_done::jk_ajp_common.c (2905): recycling connection pool slot=0 for worker worker4 [Wed Jun 13 18:44:54 2012] [9555:3086317328] [info] jk_handler::mod_jk.c (2615): Service error=-3 for worker=worker4 The error i get in browser is: Service Temporarily Unavailable Apache/2.2.3 (Red Hat) Server at www1.myCompany.com.au Port 80 can someone please help and explain what is going on and how it can be resolved?

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  • Oracle Announces Oracle Exadata X3 Database In-Memory Machine

    - by jgelhaus
    Fourth Generation Exadata X3 Systems are Ideal for High-End OLTP, Large Data Warehouses, and Database Clouds; Eighth-Rack Configuration Offers New Low-Cost Entry Point ORACLE OPENWORLD, SAN FRANCISCO – October 1, 2012 News Facts During his opening keynote address at Oracle OpenWorld, Oracle CEO, Larry Ellison announced the Oracle Exadata X3 Database In-Memory Machine - the latest generation of its Oracle Exadata Database Machines. The Oracle Exadata X3 Database In-Memory Machine is a key component of the Oracle Cloud. Oracle Exadata X3-2 Database In-Memory Machine and Oracle Exadata X3-8 Database In-Memory Machine can store up to hundreds of Terabytes of compressed user data in Flash and RAM memory, virtually eliminating the performance overhead of reads and writes to slow disk drives, making Exadata X3 systems the ideal database platforms for the varied and unpredictable workloads of cloud computing. In order to realize the highest performance at the lowest cost, the Oracle Exadata X3 Database In-Memory Machine implements a mass memory hierarchy that automatically moves all active data into Flash and RAM memory, while keeping less active data on low-cost disks. With a new Eighth-Rack configuration, the Oracle Exadata X3-2 Database In-Memory Machine delivers a cost-effective entry point for smaller workloads, testing, development and disaster recovery systems, and is a fully redundant system that can be used with mission critical applications. Next-Generation Technologies Deliver Dramatic Performance Improvements Oracle Exadata X3 Database In-Memory Machines use a combination of scale-out servers and storage, InfiniBand networking, smart storage, PCI Flash, smart memory caching, and Hybrid Columnar Compression to deliver extreme performance and availability for all Oracle Database Workloads. Oracle Exadata X3 Database In-Memory Machine systems leverage next-generation technologies to deliver significant performance enhancements, including: Four times the Flash memory capacity of the previous generation; with up to 40 percent faster response times and 100 GB/second data scan rates. Combined with Exadata’s unique Hybrid Columnar Compression capabilities, hundreds of Terabytes of user data can now be managed entirely within Flash; 20 times more capacity for database writes through updated Exadata Smart Flash Cache software. The new Exadata Smart Flash Cache software also runs on previous generation Exadata systems, increasing their capacity for writes tenfold; 33 percent more database CPU cores in the Oracle Exadata X3-2 Database In-Memory Machine, using the latest 8-core Intel® Xeon E5-2600 series of processors; Expanded 10Gb Ethernet connectivity to the data center in the Oracle Exadata X3-2 provides 40 10Gb network ports per rack for connecting users and moving data; Up to 30 percent reduction in power and cooling. Configured for Your Business, Available Today Oracle Exadata X3-2 Database In-Memory Machine systems are available in a Full-Rack, Half-Rack, Quarter-Rack, and the new low-cost Eighth-Rack configuration to satisfy the widest range of applications. Oracle Exadata X3-8 Database In-Memory Machine systems are available in a Full-Rack configuration, and both X3 systems enable multi-rack configurations for virtually unlimited scalability. Oracle Exadata X3-2 and X3-8 Database In-Memory Machines are fully compatible with prior Exadata generations and existing systems can also be upgraded with Oracle Exadata X3-2 servers. Oracle Exadata X3 Database In-Memory Machine systems can be used immediately with any application certified with Oracle Database 11g R2 and Oracle Real Application Clusters, including SAP, Oracle Fusion Applications, Oracle’s PeopleSoft, Oracle’s Siebel CRM, the Oracle E-Business Suite, and thousands of other applications. Supporting Quotes “Forward-looking enterprises are moving towards Cloud Computing architectures,” said Andrew Mendelsohn, senior vice president, Oracle Database Server Technologies. “Oracle Exadata’s unique ability to run any database application on a fully scale-out architecture using a combination of massive memory for extreme performance and low-cost disk for high capacity delivers the ideal solution for Cloud-based database deployments today.” Supporting Resources Oracle Press Release Oracle Exadata Database Machine Oracle Exadata X3-2 Database In-Memory Machine Oracle Exadata X3-8 Database In-Memory Machine Oracle Database 11g Follow Oracle Database via Blog, Facebook and Twitter Oracle OpenWorld 2012 Oracle OpenWorld 2012 Keynotes Like Oracle OpenWorld on Facebook Follow Oracle OpenWorld on Twitter Oracle OpenWorld Blog Oracle OpenWorld on LinkedIn Mark Hurd's keynote with Andy Mendelsohn and Juan Loaiza - - watch for the replay to be available soon at http://www.youtube.com/user/Oracle or http://www.oracle.com/openworld/live/on-demand/index.html

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  • Windows Azure Use Case: Agility

    - by BuckWoody
    This is one in a series of posts on when and where to use a distributed architecture design in your organization's computing needs. You can find the main post here: http://blogs.msdn.com/b/buckwoody/archive/2011/01/18/windows-azure-and-sql-azure-use-cases.aspx  Description: Agility in this context is defined as the ability to quickly develop and deploy an application. In theory, the speed at which your organization can develop and deploy an application on available hardware is identical to what you could deploy in a distributed environment. But in practice, this is not always the case. Having an option to use a distributed environment can be much faster for the deployment and even the development process. Implementation: When an organization designs code, they are essentially becoming a Software-as-a-Service (SaaS) provider to their own organization. To do that, the IT operations team becomes the Infrastructure-as-a-Service (IaaS) to the development teams. From there, the software is developed and deployed using an Application Lifecycle Management (ALM) process. A simplified view of an ALM process is as follows: Requirements Analysis Design and Development Implementation Testing Deployment to Production Maintenance In an on-premise environment, this often equates to the following process map: Requirements Business requirements formed by Business Analysts, Developers and Data Professionals. Analysis Feasibility studies, including physical plant, security, manpower and other resources. Request is placed on the work task list if approved. Design and Development Code written according to organization’s chosen methodology, either on-premise or to multiple development teams on and off premise. Implementation Code checked into main branch. Code forked as needed. Testing Code deployed to on-premise Testing servers. If no server capacity available, more resources procured through standard budgeting and ordering processes. Manual and automated functional, load, security, etc. performed. Deployment to Production Server team involved to select platform and environments with available capacity. If no server capacity available, standard budgeting and procurement process followed. If no server capacity available, systems built, configured and put under standard organizational IT control. Systems configured for proper operating systems, patches, security and virus scans. System maintenance, HA/DR, backups and recovery plans configured and put into place. Maintenance Code changes evaluated and altered according to need. In a distributed computing environment like Windows Azure, the process maps a bit differently: Requirements Business requirements formed by Business Analysts, Developers and Data Professionals. Analysis Feasibility studies, including budget, security, manpower and other resources. Request is placed on the work task list if approved. Design and Development Code written according to organization’s chosen methodology, either on-premise or to multiple development teams on and off premise. Implementation Code checked into main branch. Code forked as needed. Testing Code deployed to Azure. Manual and automated functional, load, security, etc. performed. Deployment to Production Code deployed to Azure. Point in time backup and recovery plans configured and put into place.(HA/DR and automated backups already present in Azure fabric) Maintenance Code changes evaluated and altered according to need. This means that several steps can be removed or expedited. It also means that the business function requesting the application can be held directly responsible for the funding of that request, speeding the process further since the IT budgeting process may not be involved in the Azure scenario. An additional benefit is the “Azure Marketplace”, In effect this becomes an app store for Enterprises to select pre-defined code and data applications to mesh or bolt-in to their current code, possibly saving development time. Resources: Whitepaper download- What is ALM?  http://go.microsoft.com/?linkid=9743693  Whitepaper download - ALM and Business Strategy: http://go.microsoft.com/?linkid=9743690  LiveMeeting Recording on ALM and Windows Azure (registration required, but free): http://www.microsoft.com/uk/msdn/visualstudio/contact-us.aspx?sbj=Developing with Windows Azure (ALM perspective) - 10:00-11:00 - 19th Jan 2011

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  • Do I need to be worried about these SMART drive temperatures?

    - by Steve Lorimer
    I have 5 hard drives in a machine sitting in a cupboard. /dev/sda is a 500GB Seagate drive, and is the boot disk. /dev/sd{b,c,d,e} are 2TB drives in a raid6 configuration. smartctl is showing significantly higher temperatures (like ~140 degrees celsius) on the raid drives than the boot drive. Do I need to be worried? /dev/sdb and /dev/sde are new Western Digital Black drives (new=1 week) /dev/sdc and /dev/sdd are 5 year old Hitachi drives /dev/sda [SAT], Temperature_Celsius changed from 40 to 39 /dev/sdc [SAT], Temperature_Celsius changed from 142 to 146 /dev/sdc [SAT], Temperature_Celsius changed from 146 to 142 /dev/sdd [SAT], Temperature_Celsius changed from 142 to 146 /dev/sda [SAT], Airflow_Temperature_Cel changed from 61 to 62 /dev/sda [SAT], Temperature_Celsius changed from 39 to 38 /dev/sde [SAT], Temperature_Celsius changed from 107 to 108 /dev/sdb [SAT], Temperature_Celsius changed from 108 to 109 /dev/sdc [SAT], Temperature_Celsius changed from 146 to 150 /dev/sdc [SAT], Temperature_Celsius changed from 146 to 150 /dev/sda [SAT], Airflow_Temperature_Cel changed from 62 to 61 /dev/sda [SAT], Temperature_Celsius changed from 38 to 39 Update: Adding detailed drive information as per request: /dev/sda =========================== smartctl 6.0 2012-10-10 r3643 [x86_64-linux-3.9.10-100.fc17.x86_64] (local build) Copyright (C) 2002-12, Bruce Allen, Christian Franke, www.smartmontools.org === START OF INFORMATION SECTION === Model Family: Seagate Pipeline HD 5900.2 Device Model: ST3500312CS Serial Number: 5VV47HXA LU WWN Device Id: 5 000c50 02aad5ad6 Firmware Version: SC13 User Capacity: 500,107,862,016 bytes [500 GB] Sector Size: 512 bytes logical/physical Rotation Rate: 5900 rpm Device is: In smartctl database [for details use: -P show] ATA Version is: ATA8-ACS T13/1699-D revision 4 SATA Version is: SATA 2.6, 1.5 Gb/s (current: 1.5 Gb/s) Local Time is: Tue Jun 3 10:54:11 2014 EST SMART support is: Available - device has SMART capability. SMART support is: Enabled /dev/sdb =========================== smartctl 6.0 2012-10-10 r3643 [x86_64-linux-3.9.10-100.fc17.x86_64] (local build) Copyright (C) 2002-12, Bruce Allen, Christian Franke, www.smartmontools.org === START OF INFORMATION SECTION === Device Model: WDC WD2003FZEX-00Z4SA0 Serial Number: WD-WMC1F1398726 LU WWN Device Id: 5 0014ee 003b8bd25 Firmware Version: 01.01A01 User Capacity: 2,000,398,934,016 bytes [2.00 TB] Sector Sizes: 512 bytes logical, 4096 bytes physical Rotation Rate: 7200 rpm Device is: Not in smartctl database [for details use: -P showall] ATA Version is: ACS-2 (minor revision not indicated) SATA Version is: SATA 3.0, 6.0 Gb/s (current: 3.0 Gb/s) Local Time is: Tue Jun 3 10:54:11 2014 EST SMART support is: Available - device has SMART capability. SMART support is: Enabled /dev/sdc =========================== smartctl 6.0 2012-10-10 r3643 [x86_64-linux-3.9.10-100.fc17.x86_64] (local build) Copyright (C) 2002-12, Bruce Allen, Christian Franke, www.smartmontools.org === START OF INFORMATION SECTION === Model Family: Hitachi Deskstar 7K3000 Device Model: Hitachi HDS723020BLA642 Serial Number: MN1220F30WSTUD LU WWN Device Id: 5 000cca 369cc9f5d Firmware Version: MN6OA580 User Capacity: 2,000,398,934,016 bytes [2.00 TB] Sector Size: 512 bytes logical/physical Rotation Rate: 7200 rpm Device is: In smartctl database [for details use: -P show] ATA Version is: ATA8-ACS T13/1699-D revision 4 SATA Version is: SATA 2.6, 6.0 Gb/s (current: 3.0 Gb/s) Local Time is: Tue Jun 3 10:54:11 2014 EST SMART support is: Available - device has SMART capability. SMART support is: Enabled /dev/sdd =========================== smartctl 6.0 2012-10-10 r3643 [x86_64-linux-3.9.10-100.fc17.x86_64] (local build) Copyright (C) 2002-12, Bruce Allen, Christian Franke, www.smartmontools.org === START OF INFORMATION SECTION === Model Family: Hitachi Deskstar 7K3000 Device Model: Hitachi HDS723020BLA642 Serial Number: MN1220F30WST4D LU WWN Device Id: 5 000cca 369cc9f48 Firmware Version: MN6OA580 User Capacity: 2,000,398,934,016 bytes [2.00 TB] Sector Size: 512 bytes logical/physical Rotation Rate: 7200 rpm Device is: In smartctl database [for details use: -P show] ATA Version is: ATA8-ACS T13/1699-D revision 4 SATA Version is: SATA 2.6, 6.0 Gb/s (current: 1.5 Gb/s) Local Time is: Tue Jun 3 10:54:11 2014 EST SMART support is: Available - device has SMART capability. SMART support is: Enabled /dev/sde =========================== smartctl 6.0 2012-10-10 r3643 [x86_64-linux-3.9.10-100.fc17.x86_64] (local build) Copyright (C) 2002-12, Bruce Allen, Christian Franke, www.smartmontools.org === START OF INFORMATION SECTION === Device Model: WDC WD2003FZEX-00Z4SA0 Serial Number: WD-WMC1F1483782 LU WWN Device Id: 5 0014ee 3002d235c Firmware Version: 01.01A01 User Capacity: 2,000,398,934,016 bytes [2.00 TB] Sector Sizes: 512 bytes logical, 4096 bytes physical Rotation Rate: 7200 rpm Device is: Not in smartctl database [for details use: -P showall] ATA Version is: ACS-2 (minor revision not indicated) SATA Version is: SATA 3.0, 6.0 Gb/s (current: 1.5 Gb/s) Local Time is: Tue Jun 3 10:54:11 2014 EST SMART support is: Available - device has SMART capability. SMART support is: Enabled

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  • Design by contracts and constructors

    - by devoured elysium
    I am implementing my own ArrayList for school purposes, but to spice up things a bit I'm trying to use C# 4.0 Code Contracts. All was fine until I needed to add Contracts to the constructors. Should I add Contract.Ensures() in the empty parameter constructor? public ArrayList(int capacity) { Contract.Requires(capacity > 0); Contract.Ensures(Size == capacity); _array = new T[capacity]; } public ArrayList() : this(32) { Contract.Ensures(Size == 32); } I'd say yes, each method should have a well defined contract. On the other hand, why put it if it's just delegating work to the "main" constructor? Logicwise, I wouldn't need to. The only point I see where it'd be useful to explicitly define the contract in both constructors is if in the future we have Intelisense support for contracts. Would that happen, it'd be useful to be explicit about which contracts each method has, as that'd appear in Intelisense. Also, are there any books around that go a bit deeper on the principles and usage of Design by Contracts? One thing is having knowledge of the syntax of how to use Contracts in a language (C#, in this case), other is knowing how and when to use it. I read several tutorials and Jon Skeet's C# in Depth article about it, but I'd like to go a bit deeper if possible. Thanks

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  • 2d Vector with wrong values

    - by Petris Rodrigo Fernandes
    I'm studing STL, then i thought "i'll make a 2d array!" but whatever... a coded this: vector< vector<int> > vetor; vetor.resize(10); vetor[0].resize(10); for(int i = 0; i < vetor.capacity(); i++){ for(int h = 0; h < vetor[0].capacity();h++){ vetor[i][h] = h; } } Until here, ok. But when i try to show the array value a use this: for(int i = 0; i < vetor.capacity(); i++){ cout << "LINE " << i << ": "; for(int h = 0; h < vetor[0].capacity();h++){ cout << vetor[i][h] <<" "; } cout << "\n"; } And the results are really wrong: LINE 0: 4 5 6 7 8 9 6 7 8 9 LINE 1: 0 1 2 3 0 1 2 3 0 1 LINE 2: 0 1 2 3 0 1 2 3 0 1 LINE 3: 0 1 2 3 0 1 2 3 0 1 LINE 4: 0 1 2 3 0 1 2 3 0 1 LINE 5: 0 1 2 3 0 1 2 3 0 1 LINE 6: 0 1 2 3 0 1 2 3 0 1 LINE 7: 0 1 2 3 0 1 2 3 0 1 LINE 8: 0 1 2 3 0 1 2 3 4 5 LINE 9: 0 1 2 3 4 5 6 7 8 9 What's happening with my program? it isn't printing the right values!

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  • Python to Java translation

    - by obelix1337
    Hello, i get quite short code of algorithm in python, but i need to translate it to Java. I didnt find any program to do that, so i will really appreciate to help translating it. I learned python a very little to know the idea how algorithm work. The biggest problem is because in python all is object and some things are made really very confuzing like sum(self.flow[(source, vertex)] for vertex, capacity in self.get_edges(source)) and "self.adj" is like hashmap with multiple values which i have no idea how to put all together. Is any better collection for this code in java? code is: [CODE] class FlowNetwork(object): def __init__(self): self.adj, self.flow, = {},{} def add_vertex(self, vertex): self.adj[vertex] = [] def get_edges(self, v): return self.adj[v] def add_edge(self, u,v,w=0): self.adj[u].append((v,w)) self.adj[v].append((u,0)) self.flow[(u,v)] = self.flow[(v,u)] = 0 def find_path(self, source, sink, path): if source == sink: return path for vertex, capacity in self.get_edges(source): residual = capacity - self.flow[(source,vertex)] edge = (source,vertex,residual) if residual > 0 and not edge in path: result = self.find_path(vertex, sink, path + [edge]) if result != None: return result def max_flow(self, source, sink): path = self.find_path(source, sink, []) while path != None: flow = min(r for u,v,r in path) for u,v,_ in path: self.flow[(u,v)] += flow self.flow[(v,u)] -= flow path = self.find_path(source, sink, []) return sum(self.flow[(source, vertex)] for vertex, capacity in self.get_edges(source)) g = FlowNetwork() map(g.add_vertex, ['s','o','p','q','r','t']) g.add_edge('s','o',3) g.add_edge('s','p',3) g.add_edge('o','p',2) g.add_edge('o','q',3) g.add_edge('p','r',2) g.add_edge('r','t',3) g.add_edge('q','r',4) g.add_edge('q','t',2) print g.max_flow('s','t') [/CODE] result of this example is "5". algorithm find max flow in graph(linked list or whatever) from source vertex "s" to destination "t". Many thanx for any idea

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  • Organization &amp; Architecture UNISA Studies &ndash; Chap 4

    - by MarkPearl
    Learning Outcomes Explain the characteristics of memory systems Describe the memory hierarchy Discuss cache memory principles Discuss issues relevant to cache design Describe the cache organization of the Pentium Computer Memory Systems There are key characteristics of memory… Location – internal or external Capacity – expressed in terms of bytes Unit of Transfer – the number of bits read out of or written into memory at a time Access Method – sequential, direct, random or associative From a users perspective the two most important characteristics of memory are… Capacity Performance – access time, memory cycle time, transfer rate The trade off for memory happens along three axis… Faster access time, greater cost per bit Greater capacity, smaller cost per bit Greater capacity, slower access time This leads to people using a tiered approach in their use of memory   As one goes down the hierarchy, the following occurs… Decreasing cost per bit Increasing capacity Increasing access time Decreasing frequency of access of the memory by the processor The use of two levels of memory to reduce average access time works in principle, but only if conditions 1 to 4 apply. A variety of technologies exist that allow us to accomplish this. Thus it is possible to organize data across the hierarchy such that the percentage of accesses to each successively lower level is substantially less than that of the level above. A portion of main memory can be used as a buffer to hold data temporarily that is to be read out to disk. This is sometimes referred to as a disk cache and improves performance in two ways… Disk writes are clustered. Instead of many small transfers of data, we have a few large transfers of data. This improves disk performance and minimizes processor involvement. Some data designed for write-out may be referenced by a program before the next dump to disk. In that case the data is retrieved rapidly from the software cache rather than slowly from disk. Cache Memory Principles Cache memory is substantially faster than main memory. A caching system works as follows.. When a processor attempts to read a word of memory, a check is made to see if this in in cache memory… If it is, the data is supplied, If it is not in the cache, a block of main memory, consisting of a fixed number of words is loaded to the cache. Because of the phenomenon of locality of references, when a block of data is fetched into the cache, it is likely that there will be future references to that same memory location or to other words in the block. Elements of Cache Design While there are a large number of cache implementations, there are a few basic design elements that serve to classify and differentiate cache architectures… Cache Addresses Cache Size Mapping Function Replacement Algorithm Write Policy Line Size Number of Caches Cache Addresses Almost all non-embedded processors support virtual memory. Virtual memory in essence allows a program to address memory from a logical point of view without needing to worry about the amount of physical memory available. When virtual addresses are used the designer may choose to place the cache between the MMU (memory management unit) and the processor or between the MMU and main memory. The disadvantage of virtual memory is that most virtual memory systems supply each application with the same virtual memory address space (each application sees virtual memory starting at memory address 0), which means the cache memory must be completely flushed with each application context switch or extra bits must be added to each line of the cache to identify which virtual address space the address refers to. Cache Size We would like the size of the cache to be small enough so that the overall average cost per bit is close to that of main memory alone and large enough so that the overall average access time is close to that of the cache alone. Also, larger caches are slightly slower than smaller ones. Mapping Function Because there are fewer cache lines than main memory blocks, an algorithm is needed for mapping main memory blocks into cache lines. The choice of mapping function dictates how the cache is organized. Three techniques can be used… Direct – simplest technique, maps each block of main memory into only one possible cache line Associative – Each main memory block to be loaded into any line of the cache Set Associative – exhibits the strengths of both the direct and associative approaches while reducing their disadvantages For detailed explanations of each approach – read the text book (page 148 – 154) Replacement Algorithm For associative and set associating mapping a replacement algorithm is needed to determine which of the existing blocks in the cache must be replaced by a new block. There are four common approaches… LRU (Least recently used) FIFO (First in first out) LFU (Least frequently used) Random selection Write Policy When a block resident in the cache is to be replaced, there are two cases to consider If no writes to that block have happened in the cache – discard it If a write has occurred, a process needs to be initiated where the changes in the cache are propagated back to the main memory. There are several approaches to achieve this including… Write Through – all writes to the cache are done to the main memory as well at the point of the change Write Back – when a block is replaced, all dirty bits are written back to main memory The problem is complicated when we have multiple caches, there are techniques to accommodate for this but I have not summarized them. Line Size When a block of data is retrieved and placed in the cache, not only the desired word but also some number of adjacent words are retrieved. As the block size increases from very small to larger sizes, the hit ratio will at first increase because of the principle of locality, which states that the data in the vicinity of a referenced word are likely to be referenced in the near future. As the block size increases, more useful data are brought into cache. The hit ratio will begin to decrease as the block becomes even bigger and the probability of using the newly fetched information becomes less than the probability of using the newly fetched information that has to be replaced. Two specific effects come into play… Larger blocks reduce the number of blocks that fit into a cache. Because each block fetch overwrites older cache contents, a small number of blocks results in data being overwritten shortly after they are fetched. As a block becomes larger, each additional word is farther from the requested word and therefore less likely to be needed in the near future. The relationship between block size and hit ratio is complex, and no set approach is judged to be the best in all circumstances.   Pentium 4 and ARM cache organizations The processor core consists of four major components: Fetch/decode unit – fetches program instruction in order from the L2 cache, decodes these into a series of micro-operations, and stores the results in the L2 instruction cache Out-of-order execution logic – Schedules execution of the micro-operations subject to data dependencies and resource availability – thus micro-operations may be scheduled for execution in a different order than they were fetched from the instruction stream. As time permits, this unit schedules speculative execution of micro-operations that may be required in the future Execution units – These units execute micro-operations, fetching the required data from the L1 data cache and temporarily storing results in registers Memory subsystem – This unit includes the L2 and L3 caches and the system bus, which is used to access main memory when the L1 and L2 caches have a cache miss and to access the system I/O resources

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  • What kind of scaling method is it, when you add new software to a single server to handle more users? [on hold]

    - by Phil
    I have read about scaling (in terms of terminology and methods). This got me confused about the following: On a single computer, running a web server (say apache), if the system administrator adds a front, caching, reverse-proxy such as Varnish, which in that scenario increase the amount of requests this server is able to handle. My question: Setting up such cache increases the capacity of the server to handle work, hence scales it, but without increasing neither the amount of nodes or the node's capacity. What is the name for this type of scaling?

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  • Efficient algorithm for creating an ideal distribution of groups into containers?

    - by Inshim
    I have groups of students that need to be allocated into classrooms of a fixed capacity (say, 100 chairs in each). Each group must only be allocated to a single classroom, even if it is larger than the capacity (ie there can be an overflow, with students standing up) I need an algorithm to make the allocations with minimum overflows and under-capacity classrooms. A naive algorithm to do this allocation is horrendously slow when having ~200 groups, with a distribution of about half of them being under 20% of the classroom size. Any ideas where I can find at least some good starting point for making this algorithm lightning fast? Thanks!

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  • integrity Constraints on a table.

    - by Dinesh
    See this sample schema Passenger(id PK, Name) Plane(id PK, capacity, type); Flight(id PK, planeId FK(Plane), flightDate, StartLocation, destination) CREATE TABLE Reservation(PassengerId, flightId, PRIMARY KEY (passengerId, flightId), FOREIGN KEY (passengerId) REFERENCES Passenger, FOREIGN KEY (flightId) REFERENCES Flight); I need to define an integrity constraint that enforces the restriction that the number of passengers on a plane cannot exceed the plane’s capacity. I have tried and achieved so far is this. CREATE TABLE Reservation( passengerId INTEGER, flightId INTEGER, PRIMARY KEY (passengerId, flightId), FOREIGN KEY (passengerId) REFERENCES Passenger, FOREIGN KEY (flightId) REFERENCES Flight, Constraint check1 check(Not Exists(select * from Flight s, (select count(*) as totalRes from Reservation group by flightId) t where t.totalRes > s.capacity ) ) ); I am not sure i am doing in right way or not. Any suggestions?

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