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Requests per second slower when using nginx for load balancing

- by Ed Eliot

I've set up nginx as a load balancer that reverse proxies requests to 2 Apache servers. I've benchmarked the setup with ab and am getting approx 35 requests per second with requests distributed between the 2 backend servers (not using ip_hash). What is confusing me is that if I query either of the backend servers directly via ab I get around 50 requests per second. I've experimented with a number of different values in ab the most common being 1000 requests with 100 concurrent connections. Any idea why traffic distributed across 2 servers would result in fewer requests per second than hitting either directly? Additional info: I've experimented with worker_processes values of between 1 and 8, worker_connections between 1024 and 8092 and have also tried keepalive 0 and 65. My main conf currently looks like this: user www-data; worker_processes 1; error_log /var/log/nginx/error.log; pid /var/run/nginx.pid; worker_rlimit_nofile 8192; events { worker_connections 2048; use epoll; } http { include /etc/nginx/mime.types; sendfile on; keepalive_timeout 0; tcp_nodelay on; gzip on; gzip_disable "MSIE [1-6]\.(?!.*SV1)"; include /etc/nginx/conf.d/*.conf; include /etc/nginx/sites-enabled/*; } I've got one virtual host (in sites available) that redirects everything under / to 2 backends across a local network.

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CodePlex Daily Summary for Thursday, March 04, 2010

CodePlex Daily Summary for Thursday, March 04, 2010New ProjectsAcPrac: A educational program designed to run on Windows. It is fully customizable. It is developed in C# 2008.argo: Linguistic Tool Camelot: A simple utility for testing cross site data queries in SharePointdelta: Delta is a difference tool for large files. Delta will have several clients, including AJAX and Silverlight. You can view differences in a scroll...EF Dorsal: A dorsal spine for Entity Framework based project. This code generator provides a powerfull Business Layer with almost all high important best p...Excel formatting: Excel formatting projectEyes Recognition: eye recognitionGameOfLife: The Game of Life is a the best example of a cellular automaton. It's developed in C#, SilverLight.GKO Libraries: .NET tool libraries written in C# that we have used in our projectsHello Demo: A simple Hello World application, used to demonstrate access to CodePlex using Team Explorerjog.Portal: jogportal lays the foundation for an extensible portal solution leveraging the latest technology including linq and silver lightKM Brasil: k-meleon, km, gecko, brasil, browser, web, web browser, navegador, navegação, kmeleon, k meleonLost in Translation: Ever find yourself in a foreign country eager (or clueless) to what is written on a shop sign or restaurant menu? With your trusty phone, its came...Machine Learning for .NET: Machine Learning Library for .NET. Initial inclusions will be binary and multi-class classification as well as standard clustering algorithms.Maito: Iron Kingdoms Name GeneratorManPowerEngine: ManPowerEngine is a Silverlight 2D Game Engine. It has an game application framework and supports game object hierarchy management, 2D physics simu...Marvin's Arena: Marvin's Arena is a free and entertaining programming game. The game is designed to easily learn programming in any .NET compatible language. It is...MultiMediaPlayer: 整合我们的内容NCacheD - A Simple Distributed .NET Cache using the TPL and WCF: NCacheD is a simple distributed cache system written in .NET. NCacheD offers functionality similar to that of MemcacheD but scaled back. NCacheD ...NDAP: OPeNDAP is a client/server system for making local scientific data accessible to remote locations without regard to the local or remote storage for...Open Guide CMS: Open Guide makes your traveling through city more adventurous, mode educational and more funny. You can support us by lines of code, by interesti...Rollback - A social backup tool.: Rollback is a simple and intuitive social backup application. You can create multiple backup jobs with a few mouse clicks and even schedule it to ...sELedit: An editor for elements.data file of the popular MMORPG Perfect World.SharePoint Theme Applicator: SharePoint Theme Applicator will give SharePoint administrators the ability to apply a theme accross a whole web application (i.e. apply a theme to...sPATCH: ! sPATCH - Perfect World Client Autopatcher This beta patcher is an alternative to the default perfect world patcher. It offers easy client patc...Wiggle: A-life investigation. Let's make little squirmies!WPFSLBlendModeFx: A blend mode library for WPF & Silverlight.休息提醒: 程序员们，尤其是像我这样对程序痴狂的程序员们。一旦研究起自己感兴趣的程序时，觉得上厕所都是浪费时间。这个程序是在设定的时间后锁定计算机或关闭显示器，从而从某种程度强迫程序员们去休息New ReleasesAMFParser: 1.1.0: Add handling of DSK object when using BlazeDS Add handling of string references Add handling of DateTime values Correct handling of Double values B...Camelot: Camelot 0.1 Alpha: Early release: 1) Query by content type, optionally list or base template 2) Query by list or base templateDictionary Translator for Umbraco: Dictionary Translator 1.1: This is a minor release that fixes a bug that Thomas Hohler found on the first day of release This package is to be used with the ASP.NET open sou...Dynamic Configuration: Sample Application Release 1: These binaries demonstrate the effect of using DynamicConfigurationManager. The source-code for these binaries is available in the 'Source Code' t...EF Dorsal: EFDorsal v0.3b: Second real version. This version add suport to types and entity sets in tree-view.Enterprise Library Extensions: Release 1.0: This is the initial release of the package. The release will contain one feature only, as being able to deploy the project itself it the milestone ...Free Silverlight & WPF Chart Control - Visifire: Visifire SL and WPF Charts v3.0.4 beta 2 Released: Hi, Today’s release contains fix for the following issues: * In WPF application chart was throwing exception as VisualStateGroup was not foun...GameOfLife: Game of life: First release of the game. PublishedGameStore League Manager: League Manager 1.0 release 2.: Fixes crashing bugs from the first release. To use: 1. Install SQL Server Express 2005 http://www.microsoft.com/Sqlserver/2005/en/us/express-down....Marvin's Arena: Version 0.0.5.0: Code Editor (development of robots without Visual Studio - no debugging) * Rounds * 3D Battle Engine: Skybox * 3D Battle Engine: Robot...Morphfolia - ASP.NET CMS and Framework: Morphfolia v2.4.1.1: Morphfolia v2.4.1.1 - New Release Includes: Better support for browsers other than IE (Chrome, Firefox, Safari - all tested on Windows) Supports ...NCacheD - A Simple Distributed .NET Cache using the TPL and WCF: NCacheD Version 1: Getting Started To get up and running, open two instances of Visual Studio 2010. In one window open the NCacheD client solution and then open the ...Papercut: Papercut 2010-3-3: This release includes a few bug fixes and updates, several of which were contributed patches (thanks!). Feature: Added support for embedded images...PE-file Reader Writer API (PERWAPI): PERWAPI-1.1.4: Perwapi version 1.1.4 is the complete distribution package. It contains Binary files, pdb files and xml files for the PERWAPI and SymbolRW compone...Prolog.NET: Prolog.NET 1.0 Beta 1.2: Installer includes: primary Prolog.NET assembly Prolog.NET Workbench PrologTest console application all required dependencies Beta 1.2 in...Protoforma | Tactica Adversa: Skilful 0.2.4.320: BetaRoTwee: RoTwee 6.1.0.0: 16604 "Post playing tune feature" is added. Using this new feature, you can tweet tune playing in iTunes. 16625 Error processing for network error...sELedit: sELedit v1.0: -SharePoint 2007 Deployment Wizard: Support for SharePoint Server and Foundation 2010: This release encompasses the supported install paths for the default install of SPS 2010 (the 14 hive). All three versions are now supported (60 h...SharePoint Theme Applicator: SharePoint Theme Applicator: SharePoint Theme Applicator was built using C# and WPF, it includes the following features: Provides the total number of site collections in the g...Shinkansen: compress, crunch, combine, and cache JavaScript and CSS: Shinkansen 1.0.0.030310: Build 1.0.0.030310, binaries onlysPATCH: sPatcher v0.8: sPatch - Server Example *Contains a sample Patch that "downgrades" PWI 1.4.2 Client to an 1.3.6 ClientTFS Code Comment Checking Policy (CCCP): CCCP 3.0 for VSTS 2008 SP1: This release includes NRefactory 3.2.0.5571 and is built against VSTS 2008 SP1 (.NET 3.5 is required). New: horizontal scrollbar in listboxes for ...TortoiseHg: Beta for TortoiseHg 1.0 (0.9.31254): Please backup your user Mercurial.ini file and then uninstall any 0.9.X release before installing Use the x86 msi file for 32 bit platforms and th...TwitEclipseAPI: TwitEclipseAPI 0.9: 0.9 Release of TwitEclipseAPI Moved API calls to the api.Twitter.com URL. Moved API calls to the versioning API. Now uses the increased Rate Limit...TwitterVB - A .NET Twitter Library: TwitterVB-2.3: Patch 5151: Added BlockedUsers function to get a page other then the first Patch 5420: The ListMembers function will now return more then just th...休息提醒: 初始版本: 初始版本Most Popular ProjectsMetaSharpRawrWBFS ManagerAJAX Control ToolkitMicrosoft SQL Server Product Samples: DatabaseSilverlight ToolkitWindows Presentation Foundation (WPF)Microsoft SQL Server Community & SamplesASP.NETLiveUpload to FacebookMost Active ProjectsRawrBlogEngine.NETMapWindow GISpatterns & practices – Enterprise LibraryjQuery Library for SharePoint Web ServicesMDT Web FrontEndsvn2tfsDiffPlex - a .NET Diff GeneratorIonics Isapi Rewrite FilterFarseer Physics Engine

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Running a simple integration scenario using the Oracle Big Data Connectors on Hadoop/HDFS cluster

- by hamsun

Between the elephant ( the tradional image of the Hadoop framework) and the Oracle Iron Man (Big Data..) an english setter could be seen as the link to the right data Data, Data, Data, we are living in a world where data technology based on popular applications , search engines, Webservers, rich sms messages, email clients, weather forecasts and so on, have a predominant role in our life. More and more technologies are used to analyze/track our behavior, try to detect patterns, to propose us "the best/right user experience" from the Google Ad services, to Telco companies or large consumer sites (like Amazon:) ). The more we use all these technologies, the more we generate data, and thus there is a need of huge data marts and specific hardware/software servers (as the Exadata servers) in order to treat/analyze/understand the trends and offer new services to the users. Some of these "data feeds" are raw, unstructured data, and cannot be processed effectively by normal SQL queries. Large scale distributed processing was an emerging infrastructure need and the solution seemed to be the "collocation of compute nodes with the data", which in turn leaded to MapReduce parallel patterns and the development of the Hadoop framework, which is based on MapReduce and a distributed file system (HDFS) that runs on larger clusters of rather inexpensive servers. Several Oracle products are using the distributed / aggregation pattern for data calculation ( Coherence, NoSql, times ten ) so once that you are familiar with one of these technologies, lets says with coherence aggregators, you will find the whole Hadoop, MapReduce concept very similar. Oracle Big Data Appliance is based on the Cloudera Distribution (CDH), and the Oracle Big Data Connectors can be plugged on a Hadoop cluster running the CDH distribution or equivalent Hadoop clusters. In this paper, a "lab like" implementation of this concept is done on a single Linux X64 server, running an Oracle Database 11g Enterprise Edition Release 11.2.0.4.0, and a single node Apache hadoop-1.2.1 HDFS cluster, using the SQL connector for HDFS. The whole setup is fairly simple: Install on a Linux x64 server ( or virtual box appliance) an Oracle Database 11g Enterprise Edition Release 11.2.0.4.0 server Get the Apache Hadoop distribution from: http://mir2.ovh.net/ftp.apache.org/dist/hadoop/common/hadoop-1.2.1. Get the Oracle Big Data Connectors from: http://www.oracle.com/technetwork/bdc/big-data-connectors/downloads/index.html?ssSourceSiteId=ocomen. Check the java version of your Linux server with the command: java -version java version "1.7.0_40" Java(TM) SE Runtime Environment (build 1.7.0_40-b43) Java HotSpot(TM) 64-Bit Server VM (build 24.0-b56, mixed mode) Decompress the hadoop hadoop-1.2.1.tar.gz file to /u01/hadoop-1.2.1 Modify your .bash_profile export HADOOP_HOME=/u01/hadoop-1.2.1 export PATH=$PATH:$HADOOP_HOME/bin export HIVE_HOME=/u01/hive-0.11.0 export PATH=$PATH:$HADOOP_HOME/bin:$HIVE_HOME/bin (also see my sample .bash_profile) Set up ssh trust for Hadoop process, this is a mandatory step, in our case we have to establish a "local trust" as will are using a single node configuration copy the new public keys to the list of authorized keys connect and test the ssh setup to your localhost: We will run a "pseudo-Hadoop cluster", in what is called "local standalone mode", all the Hadoop java components are running in one Java process, this is enough for our demo purposes. We need to "fine tune" some Hadoop configuration files, we have to go at our $HADOOP_HOME/conf, and modify the files: core-site.xml hdfs-site.xml mapred-site.xml check that the hadoop binaries are referenced correctly from the command line by executing: hadoop -version As Hadoop is managing our "clustered HDFS" file system we have to create "the mount point" and format it , the mount point will be declared to core-site.xml as: The layout under the /u01/hadoop-1.2.1/data will be created and used by other hadoop components (MapReduce = /mapred/...) HDFS is using the /dfs/... layout structure format the HDFS hadoop file system: Start the java components for the HDFS system As an additional check, you can use the GUI Hadoop browsers to check the content of your HDFS configurations: Once our HDFS Hadoop setup is done you can use the HDFS file system to store data ( big data : )), and plug them back and forth to Oracle Databases by the means of the Big Data Connectors ( which is the next configuration step). You can create / use a Hive db, but in our case we will make a simple integration of "raw data" , through the creation of an External Table to a local Oracle instance ( on the same Linux box, we run the Hadoop HDFS one node cluster and one Oracle DB). Download some public "big data", I use the site: http://france.meteofrance.com/france/observations, from where I can get *.csv files for my big data simulations :). Here is the data layout of my example file: Download the Big Data Connector from the OTN (oraosch-2.2.0.zip), unzip it to your local file system (see picture below) Modify your environment in order to access the connector libraries , and make the following test: [oracle@dg1 bin]$./hdfs_stream Usage: hdfs_stream locationFile [oracle@dg1 bin]$ Load the data to the Hadoop hdfs file system: hadoop fs -mkdir bgtest_data hadoop fs -put obsFrance.txt bgtest_data/obsFrance.txt hadoop fs -ls /user/oracle/bgtest_data/obsFrance.txt [oracle@dg1 bg-data-raw]$ hadoop fs -ls /user/oracle/bgtest_data/obsFrance.txt Found 1 items -rw-r--r-- 1 oracle supergroup 54103 2013-10-22 06:10 /user/oracle/bgtest_data/obsFrance.txt [oracle@dg1 bg-data-raw]$hadoop fs -ls hdfs:///user/oracle/bgtest_data/obsFrance.txt Found 1 items -rw-r--r-- 1 oracle supergroup 54103 2013-10-22 06:10 /user/oracle/bgtest_data/obsFrance.txt Check the content of the HDFS with the browser UI: Start the Oracle database, and run the following script in order to create the Oracle database user, the Oracle directories for the Oracle Big Data Connector (dg1 it’s my own db id replace accordingly yours): #!/bin/bash export ORAENV_ASK=NO export ORACLE_SID=dg1 . oraenv sqlplus /nolog <<EOF CONNECT / AS sysdba; CREATE OR REPLACE DIRECTORY osch_bin_path AS '/u01/orahdfs-2.2.0/bin'; CREATE USER BGUSER IDENTIFIED BY oracle; GRANT CREATE SESSION, CREATE TABLE TO BGUSER; GRANT EXECUTE ON sys.utl_file TO BGUSER; GRANT READ, EXECUTE ON DIRECTORY osch_bin_path TO BGUSER; CREATE OR REPLACE DIRECTORY BGT_LOG_DIR as '/u01/BG_TEST/logs'; GRANT READ, WRITE ON DIRECTORY BGT_LOG_DIR to BGUSER; CREATE OR REPLACE DIRECTORY BGT_DATA_DIR as '/u01/BG_TEST/data'; GRANT READ, WRITE ON DIRECTORY BGT_DATA_DIR to BGUSER; EOF Put the following in a file named t3.sh and make it executable, hadoop jar $OSCH_HOME/jlib/orahdfs.jar \ oracle.hadoop.exttab.ExternalTable \ -D oracle.hadoop.exttab.tableName=BGTEST_DP_XTAB \ -D oracle.hadoop.exttab.defaultDirectory=BGT_DATA_DIR \ -D oracle.hadoop.exttab.dataPaths="hdfs:///user/oracle/bgtest_data/obsFrance.txt" \ -D oracle.hadoop.exttab.columnCount=7 \ -D oracle.hadoop.connection.url=jdbc:oracle:thin:@//localhost:1521/dg1 \ -D oracle.hadoop.connection.user=BGUSER \ -D oracle.hadoop.exttab.printStackTrace=true \ -createTable --noexecute then test the creation fo the external table with it: [oracle@dg1 samples]$ ./t3.sh ./t3.sh: line 2: /u01/orahdfs-2.2.0: Is a directory Oracle SQL Connector for HDFS Release 2.2.0 - Production Copyright (c) 2011, 2013, Oracle and/or its affiliates. All rights reserved. Enter Database Password:] The create table command was not executed. The following table would be created. CREATE TABLE "BGUSER"."BGTEST_DP_XTAB" ( "C1" VARCHAR2(4000), "C2" VARCHAR2(4000), "C3" VARCHAR2(4000), "C4" VARCHAR2(4000), "C5" VARCHAR2(4000), "C6" VARCHAR2(4000), "C7" VARCHAR2(4000) ) ORGANIZATION EXTERNAL ( TYPE ORACLE_LOADER DEFAULT DIRECTORY "BGT_DATA_DIR" ACCESS PARAMETERS ( RECORDS DELIMITED BY 0X'0A' CHARACTERSET AL32UTF8 STRING SIZES ARE IN CHARACTERS PREPROCESSOR "OSCH_BIN_PATH":'hdfs_stream' FIELDS TERMINATED BY 0X'2C' MISSING FIELD VALUES ARE NULL ( "C1" CHAR(4000), "C2" CHAR(4000), "C3" CHAR(4000), "C4" CHAR(4000), "C5" CHAR(4000), "C6" CHAR(4000), "C7" CHAR(4000) ) ) LOCATION ( 'osch-20131022081035-74-1' ) ) PARALLEL REJECT LIMIT UNLIMITED; The following location files would be created. osch-20131022081035-74-1 contains 1 URI, 54103 bytes 54103 hdfs://localhost:19000/user/oracle/bgtest_data/obsFrance.txt Then remove the --noexecute flag and create the external Oracle table for the Hadoop data. Check the results: The create table command succeeded. CREATE TABLE "BGUSER"."BGTEST_DP_XTAB" ( "C1" VARCHAR2(4000), "C2" VARCHAR2(4000), "C3" VARCHAR2(4000), "C4" VARCHAR2(4000), "C5" VARCHAR2(4000), "C6" VARCHAR2(4000), "C7" VARCHAR2(4000) ) ORGANIZATION EXTERNAL ( TYPE ORACLE_LOADER DEFAULT DIRECTORY "BGT_DATA_DIR" ACCESS PARAMETERS ( RECORDS DELIMITED BY 0X'0A' CHARACTERSET AL32UTF8 STRING SIZES ARE IN CHARACTERS PREPROCESSOR "OSCH_BIN_PATH":'hdfs_stream' FIELDS TERMINATED BY 0X'2C' MISSING FIELD VALUES ARE NULL ( "C1" CHAR(4000), "C2" CHAR(4000), "C3" CHAR(4000), "C4" CHAR(4000), "C5" CHAR(4000), "C6" CHAR(4000), "C7" CHAR(4000) ) ) LOCATION ( 'osch-20131022081719-3239-1' ) ) PARALLEL REJECT LIMIT UNLIMITED; The following location files were created. osch-20131022081719-3239-1 contains 1 URI, 54103 bytes 54103 hdfs://localhost:19000/user/oracle/bgtest_data/obsFrance.txt This is the view from the SQL Developer: and finally the number of lines in the oracle table, imported from our Hadoop HDFS cluster SQL select count(*) from "BGUSER"."BGTEST_DP_XTAB"; COUNT(*) ---------- 1151 In a next post we will integrate data from a Hive database, and try some ODI integrations with the ODI Big Data connector. Our simplistic approach is just a step to show you how these unstructured data world can be integrated to Oracle infrastructure. Hadoop, BigData, NoSql are great technologies, they are widely used and Oracle is offering a large integration infrastructure based on these services. Oracle University presents a complete curriculum on all the Oracle related technologies: NoSQL: Introduction to Oracle NoSQL Database Using Oracle NoSQL Database Big Data: Introduction to Big Data Oracle Big Data Essentials Oracle Big Data Overview Oracle Data Integrator: Oracle Data Integrator 12c: New Features Oracle Data Integrator 11g: Integration and Administration Oracle Data Integrator: Administration and Development Oracle Data Integrator 11g: Advanced Integration and Development Oracle Coherence 12c: Oracle Coherence 12c: New Features Oracle Coherence 12c: Share and Manage Data in Clusters Oracle Coherence 12c: Oracle GoldenGate 11g: Fundamentals for Oracle Oracle GoldenGate 11g: Fundamentals for SQL Server Oracle GoldenGate 11g Fundamentals for Oracle Oracle GoldenGate 11g Fundamentals for DB2 Oracle GoldenGate 11g Fundamentals for Teradata Oracle GoldenGate 11g Fundamentals for HP NonStop Oracle GoldenGate 11g Management Pack: Overview Oracle GoldenGate 11g Troubleshooting and Tuning Oracle GoldenGate 11g: Advanced Configuration for Oracle Other Resources: Apache Hadoop : http://hadoop.apache.org/ is the homepage for these technologies. "Hadoop Definitive Guide 3rdEdition" by Tom White is a classical lecture for people who want to know more about Hadoop , and some active "googling " will also give you some more references. About the author: Eugene Simos is based in France and joined Oracle through the BEA-Weblogic Acquisition, where he worked for the Professional Service, Support, end Education for major accounts across the EMEA Region. He worked in the banking sector, ATT, Telco companies giving him extensive experience on production environments. Eugen currently specializes in Oracle Fusion Middleware teaching an array of courses on Weblogic/Webcenter, Content,BPM /SOA/Identity-Security/GoldenGate/Virtualisation/Unified Comm Suite) throughout the EMEA region.

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"Local transaction already has 1 non-XA Resource: cannot add more resources" error

- by jthg

After reading previous questions about this error, it seems like all of them conclude that you need to enable XA on all of the data sources. But: What if I don't want a distributed transaction? What would I do if I want to start transactions on two different databases at the same time, but commit the transaction on one database and roll back the transaction on the other? I'm wondering how my code actually initiated a distributed transaction. It looks to me like I'm starting completely separate transactions on each of the databases. Info about the application: The application is an EJB running on a Sun Java Application Server 9.1 I use something like the following spring context to set up the hibernate session factories: <bean id="dbADatasource" class="org.springframework.jndi.JndiObjectFactoryBean"> <property name="jndiName" value="jdbc/dbA"/> </bean> <bean id="dbASessionFactory" class="org.springframework.orm.hibernate3.LocalSessionFactoryBean"> <property name="dataSource" ref="dbADatasource" /> <property name="hibernateProperties"> [hibernate properties...] </property> <property name="mappingResources"> [mapping resources...] </property> </bean> <bean id="dbBDatasource" class="org.springframework.jndi.JndiObjectFactoryBean"> <property name="jndiName" value="jdbc/dbB"/> </bean> <bean id="dbBSessionFactory" class="org.springframework.orm.hibernate3.LocalSessionFactoryBean"> <property name="dataSource" ref="dbBDatasource" /> <property name="hibernateProperties"> [hibernate properties...] </property> <property name="mappingResources"> [mapping resources...] </property> </bean> Both of the JNDI resources are javax.sql.ConnectionPoolDatasoure's. They actually both point to the same connection pool, but we have two different JNDI resources because there's the possibility that the two groups of tables will move to different databases in the future. Then in code, I do: sessionA = dbASessionFactory.openSession(); sessionB = dbBSessionFactory.openSession(); sessionA.beginTransaction(); sessionB.beginTransaction(); The sessionB.beginTransaction() line produces the error in the title of this post - sometimes. I ran the app on two different sun application servers. On one runs it fine, the other throws the error. I don't see any difference in how the two servers are configured although they do connect to different, but equivalent databases. So the question is Why doesn't the above code start completely independent transactions? How can I force it to start independent transactions rather than a distributed transaction? What configuration could cause the difference in behavior between the two application servers? Thanks.

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Generating strongly biased radom numbers for tests

- by nobody

I want to run tests with randomized inputs and need to generate 'sensible' random numbers, that is, numbers that match good enough to pass the tested function's preconditions, but hopefully wreak havoc deeper inside its code. math.random() (I'm using Lua) produces uniformly distributed random numbers. Scaling these up will give far more big numbers than small numbers, and there will be very few integers. I would like to skew the random numbers (or generate new ones using the old function as a randomness source) in a way that strongly favors 'simple' numbers, but will still cover the whole range, I.e. extending up to positive/negative infinity (or ±1e309 for double). This means: numbers up to, say, ten should be most common, integers should be more common than fractions, numbers ending in 0.5 should be the most common fractions, followed by 0.25 and 0.75; then 0.125, and so on. A different description: Fix a base probability x such that probabilities will sum to one and define the probability of a number n as xk where k is the generation in which n is constructed as a surreal number1. That assigns x to 0, x2 to -1 and +1, x3 to -2, -1/2, +1/2 and +2, and so on. This gives a nice description of something close to what I want (it skews a bit too much), but is near-unusable for computing random numbers. The resulting distribution is nowhere continuous (it's fractal!), I'm not sure how to determine the base probability x (I think for infinite precision it would be zero), and computing numbers based on this by iteration is awfully slow (spending near-infinite time to construct large numbers). Does anyone know of a simple approximation that, given a uniformly distributed randomness source, produces random numbers very roughly distributed as described above? I would like to run thousands of randomized tests, quantity/speed is more important than quality. Still, better numbers mean less inputs get rejected. Lua has a JIT, so performance can't be reasonably predicted. Jumps based on randomness will break every prediction, and many calls to math.random() will be slow, too. This means a closed formula will be better than an iterative or recursive one. 1 Wikipedia has an article on surreal numbers, with a nice picture. A surreal number is a pair of two surreal numbers, i.e. x := {n|m}, and its value is the number in the middle of the pair, i.e. (for finite numbers) {n|m} = (n+m)/2 (as rational). If one side of the pair is empty, that's interpreted as increment (or decrement, if right is empty) by one. If both sides are empty, that's zero. Initially, there are no numbers, so the only number one can build is 0 := { | }. In generation two one can build numbers {0| } =: 1 and { |0} =: -1, in three we get {1| } =: 2, {|1} =: -2, {0|1} =: 1/2 and {-1|0} =: -1/2 (plus some more complex representations of known numbers, e.g. {-1|1} ? 0). Note that e.g. 1/3 is never generated by finite numbers because it is an infinite fraction – the same goes for floats, 1/3 is never represented exactly.

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Issue accessing remote Infinispan mbeans

- by user1960172

I am able to access the Mbeans by local Jconsole but not able to access the MBEANS from a remote Host. My COnfiguration: <?xml version='1.0' encoding='UTF-8'?> <server xmlns="urn:jboss:domain:1.4"> <extensions> <extension module="org.infinispan.server.endpoint"/> <extension module="org.jboss.as.clustering.infinispan"/> <extension module="org.jboss.as.clustering.jgroups"/> <extension module="org.jboss.as.connector"/> <extension module="org.jboss.as.jdr"/> <extension module="org.jboss.as.jmx"/> <extension module="org.jboss.as.logging"/> <extension module="org.jboss.as.modcluster"/> <extension module="org.jboss.as.naming"/> <extension module="org.jboss.as.remoting"/> <extension module="org.jboss.as.security"/> <extension module="org.jboss.as.threads"/> <extension module="org.jboss.as.transactions"/> <extension module="org.jboss.as.web"/> </extensions> <management> <security-realms> <security-realm name="ManagementRealm"> <authentication> <local default-user="$local"/> <properties path="mgmt-users.properties" relative-to="jboss.server.config.dir"/> </authentication> </security-realm> <security-realm name="ApplicationRealm"> <authentication> <local default-user="$local" allowed-users="*"/> <properties path="application-users.properties" relative-to="jboss.server.config.dir"/> </authentication> </security-realm> </security-realms> <management-interfaces> <native-interface security-realm="ManagementRealm"> <socket-binding native="management-native"/> </native-interface> <http-interface security-realm="ManagementRealm"> <socket-binding http="management-http"/> </http-interface> </management-interfaces> </management> <profile> <subsystem xmlns="urn:jboss:domain:logging:1.2"> <console-handler name="CONSOLE"> <level name="INFO"/> <formatter> <pattern-formatter pattern="%K{level}%d{HH:mm:ss,SSS} %-5p [%c] (%t) %s%E%n"/> </formatter> </console-handler> <periodic-rotating-file-handler name="FILE" autoflush="true"> <formatter> <pattern-formatter pattern="%d{HH:mm:ss,SSS} %-5p [%c] (%t) %s%E%n"/> </formatter> <file relative-to="jboss.server.log.dir" path="server.log"/> <suffix value=".yyyy-MM-dd"/> <append value="true"/> </periodic-rotating-file-handler> <logger category="com.arjuna"> <level name="WARN"/> </logger> <logger category="org.apache.tomcat.util.modeler"> <level name="WARN"/> </logger> <logger category="org.jboss.as.config"> <level name="DEBUG"/> </logger> <logger category="sun.rmi"> <level name="WARN"/> </logger> <logger category="jacorb"> <level name="WARN"/> </logger> <logger category="jacorb.config"> <level name="ERROR"/> </logger> <root-logger> <level name="INFO"/> <handlers> <handler name="CONSOLE"/> <handler name="FILE"/> </handlers> </root-logger> </subsystem> <subsystem xmlns="urn:infinispan:server:endpoint:6.0"> <hotrod-connector socket-binding="hotrod" cache-container="clustered"> <topology-state-transfer lazy-retrieval="false" lock-timeout="1000" replication-timeout="5000"/> </hotrod-connector> <memcached-connector socket-binding="memcached" cache-container="clustered"/>  <rest-connector virtual-server="default-host" cache-container="clustered" /> <websocket-connector socket-binding="websocket" cache-container="clustered"/> </subsystem> <subsystem xmlns="urn:jboss:domain:datasources:1.1"> <datasources/> </subsystem> <subsystem xmlns="urn:infinispan:server:core:5.3" default-cache-container="clustered"> <cache-container name="clustered" default-cache="default"> <transport executor="infinispan-transport" lock-timeout="60000"/> <distributed-cache name="default" mode="SYNC" segments="20" owners="2" remote-timeout="30000" start="EAGER"> <locking isolation="READ_COMMITTED" acquire-timeout="30000" concurrency-level="1000" striping="false"/> <transaction mode="NONE"/> </distributed-cache> <distributed-cache name="memcachedCache" mode="SYNC" segments="20" owners="2" remote-timeout="30000" start="EAGER"> <locking isolation="READ_COMMITTED" acquire-timeout="30000" concurrency-level="1000" striping="false"/> <transaction mode="NONE"/> </distributed-cache> <distributed-cache name="namedCache" mode="SYNC" start="EAGER"/> </cache-container> <cache-container name="security"/> </subsystem> <subsystem xmlns="urn:jboss:domain:jca:1.1"> <archive-validation enabled="true" fail-on-error="true" fail-on-warn="false"/> <bean-validation enabled="true"/> <default-workmanager> <short-running-threads> <core-threads count="50"/> <queue-length count="50"/> <max-threads count="50"/> <keepalive-time time="10" unit="seconds"/> </short-running-threads> <long-running-threads> <core-threads count="50"/> <queue-length count="50"/> <max-threads count="50"/> <keepalive-time time="10" unit="seconds"/> </long-running-threads> </default-workmanager> <cached-connection-manager/> </subsystem> <subsystem xmlns="urn:jboss:domain:jdr:1.0"/> <subsystem xmlns="urn:jboss:domain:jgroups:1.2" default-stack="${jboss.default.jgroups.stack:udp}"> <stack name="udp"> <transport type="UDP" socket-binding="jgroups-udp"/> <protocol type="PING"/> <protocol type="MERGE2"/> <protocol type="FD_SOCK" socket-binding="jgroups-udp-fd"/> <protocol type="FD_ALL"/> <protocol type="pbcast.NAKACK"/> <protocol type="UNICAST2"/> <protocol type="pbcast.STABLE"/> <protocol type="pbcast.GMS"/> <protocol type="UFC"/> <protocol type="MFC"/> <protocol type="FRAG2"/> <protocol type="RSVP"/> </stack> <stack name="tcp"> <transport type="TCP" socket-binding="jgroups-tcp"/>  <protocol type="TCPPING"> <property name="initial_hosts">10.32.50.53[7600],10.32.50.64[7600]</property> </protocol> <protocol type="MERGE2"/> <protocol type="FD_SOCK" socket-binding="jgroups-tcp-fd"/> <protocol type="FD"/> <protocol type="VERIFY_SUSPECT"/> <protocol type="pbcast.NAKACK"> <property name="use_mcast_xmit">false</property> </protocol> <protocol type="UNICAST2"/> <protocol type="pbcast.STABLE"/> <protocol type="pbcast.GMS"/> <protocol type="UFC"/> <protocol type="MFC"/> <protocol type="FRAG2"/> <protocol type="RSVP"/> </stack> </subsystem> <subsystem xmlns="urn:jboss:domain:jmx:1.1"> <show-model value="true"/> <remoting-connector use-management-endpoint="false"/> </subsystem> <subsystem xmlns="urn:jboss:domain:modcluster:1.1"> <mod-cluster-config advertise-socket="modcluster" connector="ajp" excluded-contexts="console"> <dynamic-load-provider> <load-metric type="busyness"/> </dynamic-load-provider> </mod-cluster-config> </subsystem> <subsystem xmlns="urn:jboss:domain:naming:1.2"/> <subsystem xmlns="urn:jboss:domain:remoting:1.1"> <connector name="remoting-connector" socket-binding="remoting" security-realm="ApplicationRealm"/> </subsystem> <subsystem xmlns="urn:jboss:domain:security:1.2"> <security-domains> <security-domain name="other" cache-type="infinispan"> <authentication> <login-module code="Remoting" flag="optional"> <module-option name="password-stacking" value="useFirstPass"/> </login-module> <login-module code="RealmUsersRoles" flag="required"> <module-option name="usersProperties" value="${jboss.server.config.dir}/application-users.properties"/> <module-option name="rolesProperties" value="${jboss.server.config.dir}/application-roles.properties"/> <module-option name="realm" value="ApplicationRealm"/> <module-option name="password-stacking" value="useFirstPass"/> </login-module> </authentication> </security-domain> <security-domain name="jboss-web-policy" cache-type="infinispan"> <authorization> <policy-module code="Delegating" flag="required"/> </authorization> </security-domain> </security-domains> </subsystem> <subsystem xmlns="urn:jboss:domain:threads:1.1"> <thread-factory name="infinispan-factory" group-name="infinispan" priority="5"/> <unbounded-queue-thread-pool name="infinispan-transport"> <max-threads count="25"/> <keepalive-time time="0" unit="milliseconds"/> <thread-factory name="infinispan-factory"/> </unbounded-queue-thread-pool> </subsystem> <subsystem xmlns="urn:jboss:domain:transactions:1.2"> <core-environment> <process-id> <uuid/> </process-id> </core-environment> <recovery-environment socket-binding="txn-recovery-environment" status-socket-binding="txn-status-manager"/> <coordinator-environment default-timeout="300"/> </subsystem> <subsystem xmlns="urn:jboss:domain:web:1.1" default-virtual-server="default-host" native="false"> <connector name="http" protocol="HTTP/1.1" scheme="http" socket-binding="http"/> <connector name="ajp" protocol="AJP/1.3" scheme="http" socket-binding="ajp"/> <virtual-server name="default-host" enable-welcome-root="false"> <alias name="localhost"/> <alias name="example.com"/> </virtual-server> </subsystem> </profile> <interfaces> <interface name="management"> <inet-address value="${jboss.bind.address.management:10.32.222.111}"/> </interface> <interface name="public"> <inet-address value="${jboss.bind.address:10.32.222.111}"/> </interface> </interfaces> <socket-binding-group name="standard-sockets" default-interface="public" port-offset="${jboss.socket.binding.port-offset:0}"> <socket-binding name="management-native" interface="management" port="${jboss.management.native.port:9999}"/> <socket-binding name="management-http" interface="management" port="${jboss.management.http.port:9990}"/> <socket-binding name="management-https" interface="management" port="${jboss.management.https.port:9443}"/> <socket-binding name="ajp" port="8089"/> <socket-binding name="hotrod" port="11222"/> <socket-binding name="http" port="8080"/> <socket-binding name="https" port="8443"/> <socket-binding name="jgroups-mping" port="0" multicast-address="${jboss.default.multicast.address:234.99.54.14}" multicast-port="45700"/> <socket-binding name="jgroups-tcp" port="7600"/> <socket-binding name="jgroups-tcp-fd" port="57600"/> <socket-binding name="jgroups-udp" port="55200" multicast-address="${jboss.default.multicast.address:234.99.54.14}" multicast-port="45688"/> <socket-binding name="jgroups-udp-fd" port="54200"/> <socket-binding name="memcached" port="11211"/> <socket-binding name="modcluster" port="0" multicast-address="224.0.1.115" multicast-port="23364"/> <socket-binding name="remoting" port="4447"/> <socket-binding name="txn-recovery-environment" port="4712"/> <socket-binding name="txn-status-manager" port="4713"/> <socket-binding name="websocket" port="8181"/> </socket-binding-group> </server> Remote Process: service:jmx:remoting-jmx://10.32.222.111:4447 I added user to both management and application realm admin=2a0923285184943425d1f53ddd58ec7a test=2b1be81e1da41d4ea647bd82fc8c2bc9 But when i try to connect its says's: Connection failed: Retry When i use Remote process as:10.32.222.111:4447 on the sever it prompts a warning : 16:29:48,084 ERROR [org.jboss.remoting.remote.connection] (Remoting "djd7w4r1" read-1) JBREM000200: Remote connection failed: java.io.IOException: Received an invali d message length of -2140864253 Also disabled Remote authentication: -Dcom.sun.management.jmxremote -Dcom.sun.management.jmxremote.ssl=false -Dcom.sun.management.jmxremote.authenticate=false -Dcom.sun.management.jmxremote.port=12345 Still not able to connect. Any help will be highly appreciated . Thanks

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Markus Zirn, "Big Data with CEP and SOA" @ SOA, Cloud & Service Technology Symposium 2012

- by JuergenKress

ORACLE PROMOTIONAL DISCOUNT FOR EXCLUSIVE ORACLE DISCOUNT, ENTER PROMO CODE: DJMXZ370 Early-Bird Registration is Now Open with Special Pricing! Register before July 1, 2012 to qualify for discounts. Visit the Registration page for details. The International SOA, Cloud + Service Technology Symposium is a yearly event that features the top experts and authors from around the world, providing a series of keynotes, talks, demonstrations, and panels, as well as training and certification workshops - all dedicated to empowering IT professionals to realize modern service technologies and practices in the real world. Click here for a two-page printable conference overview (PDF). Big Data with CEP and SOA - September 25, 2012 - 14:15 Speaker: Markus Zirn, Oracle and Baz Kuthi, Avocent The "Big Data" trend is driving new kinds of IT projects that process machine-generated data. Such projects store and mine using Hadoop/ Map Reduce, but they also analyze streaming data via event-driven patterns, which can be called "Fast Data" complementary to "Big Data". This session highlights how "Big Data" and "Fast Data" design patterns can be combined with SOA design principles into modern, event-driven architectures. We will describe specific architectures that combines CEP, Distributed Caching, Event-driven Network, SOA Composites, Application Development Framework, as well as Hadoop. Architecture patterns include pre-processing and filtering event streams as close as possible to the event source, in memory master data for event pattern matching, event-driven user interfaces as well as distributed event processing. Focus is on how "Fast Data" requirements are elegantly integrated into a traditional SOA architecture. Markus Zirn is Vice President of Product Management covering Oracle SOA Suite, SOA Governance, Application Integration Architecture, BPM, BPM Solutions, Complex Event Processing and UPK, an end user learning solution. He is the author of “The BPEL Cookbook” (rated best book on Services Oriented Architecture in 2007) as well as “Fusion Middleware Patterns”. Previously, he was a management consultant with Booz Allen & Hamilton’s High Tech practice in Duesseldorf as well as San Francisco and Vice President of Product Marketing at QUIQ. Mr. Zirn holds a Masters of Electrical Engineering from the University of Karlsruhe and is an alumnus of the Tripartite program, a joint European degree from the University of Karlsruhe, Germany, the University of Southampton, UK, and ESIEE, France. KEYNOTES & SPEAKERS More than 80 international subject matter experts will be speaking at the Symposium. Below are confirmed keynotes and speakers so far. Over 50% of the agenda has not yet been finalized. Many more speakers to come. View the partial program calendars on the Conference Agenda page. CONFERENCE THEMES & TRACKS Cloud Computing Architecture & Patterns New SOA & Service-Orientation Practices & Models Emerging Service Technology Innovation Service Modeling & Analysis Techniques Service Infrastructure & Virtualization Cloud-based Enterprise Architecture Business Planning for Cloud Computing Projects Real World Case Studies Semantic Web Technologies (with & without the Cloud) Governance Frameworks for SOA and/or Cloud Computing Projects Service Engineering & Service Programming Techniques Interactive Services & the Human Factor New REST & Web Services Tools & Techniques Oracle Specialized SOA & BPM Partners Oracle Specialized partners have proven their skills by certifications and customer references. To find a local Specialized partner please visit http://solutions.oracle.com SOA & BPM Partner Community For regular information on Oracle SOA Suite become a member in the SOA & BPM Partner Community for registration please visit www.oracle.com/goto/emea/soa (OPN account required) If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Mix Forum Technorati Tags: Markus Zirn,SOA Symposium,Thomas Erl,SOA Community,Oracle SOA,Oracle BPM,BPM Community,OPN,Jürgen Kress

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Windows Azure Use Case: Web Applications

- 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: Many applications have a requirement to be located outside of the organization’s internal infrastructure control. For instance, the company website for a brick-and-mortar retail company may want to post not only static but interactive content to be available to their external customers, and not want the customers to have access inside the organization’s firewall. There are also cases of pure web applications used for a great many of the internal functions of the business. This allows for remote workers, shared customer/employee workloads and data and other advantages. Some firms choose to host these web servers internally, others choose to contract out the infrastructure to an “ASP” (Application Service Provider) or an Infrastructure as a Service (IaaS) company. In any case, the design of these applications often resembles the following: In this design, a server (or perhaps more than one) hosts the presentation function (http or https) access to the application, and this same system may hold the computational aspects of the program. Authorization and Access is controlled programmatically, or is more open if this is a customer-facing application. Storage is either placed on the same or other servers, hosted within an RDBMS or NoSQL database, or a combination of the options, all coded into the application. High-Availability within this scenario is often the responsibility of the architects of the application, and by purchasing more hosting resources which must be built, licensed and configured, and manually added as demand requires, although some IaaS providers have a partially automatic method to add nodes for scale-out, if the architecture of the application supports it. Disaster Recovery is the responsibility of the system architect as well. Implementation: In a Windows Azure Platform as a Service (PaaS) environment, many of these architectural considerations are designed into the system. The Azure “Fabric” (not to be confused with the Azure implementation of Application Fabric - more on that in a moment) is designed to provide scalability. Compute resources can be added and removed programmatically based on any number of factors. Balancers at the request-level of the Fabric automatically route http and https requests. The fabric also provides High-Availability for storage and other components. Disaster recovery is a shared responsibility between the facilities (which have the ability to restore in case of catastrophic failure) and your code, which should build in recovery. In a Windows Azure-based web application, you have the ability to separate out the various functions and components. Presentation can be coded for multiple platforms like smart phones, tablets and PC’s, while the computation can be a single entity shared between them. This makes the applications more resilient and more object-oriented, and lends itself to a SOA or Distributed Computing architecture. It is true that you could code up a similar set of functionality in a traditional web-farm, but the difference here is that the components are built into the very design of the architecture. The API’s and DLL’s you call in a Windows Azure code base contains components as first-class citizens. For instance, if you need storage, it is simply called within the application as an object. Computation has multiple options and the ability to scale linearly. You also gain another component that you would either have to write or bolt-in to a typical web-farm: the Application Fabric. This Windows Azure component provides communication between applications or even to on-premise systems. It provides authorization in either person-based or claims-based perspectives. SQL Azure provides relational storage as another option, and can also be used or accessed from on-premise systems. It should be noted that you can use all or some of these components individually. Resources: Design Strategies for Scalable Active Server Applications - http://msdn.microsoft.com/en-us/library/ms972349.aspx Physical Tiers and Deployment - http://msdn.microsoft.com/en-us/library/ee658120.aspx

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OSB and Coherence Integration

- by mark.ms.smith

Anyone who has tried to manage Coherence nodes or tried to cache results in OSB, will appreciate the new functionality now available. As of WebLogic Server 10.3.4, you can use the WebLogic Administration Server, via the Administration Console or WLST, and java-based Node Manager to manage and monitor the life cycle of stand-alone Coherence cache servers. This is a great step forward as the previous options mainly involved writing your own scripts to do this. You can find an excellent description of how this works at James Bayer’s blog. You can also find the WebLogic documentation here.As of Oracle Service Bus 11gR1 (11.1.1.3.0), OSB now supports service result caching for Business Bervices with Coherence. If you use Business Services that return somewhat static results that do not change often, you can configure those Business Services to cache results. For Business Services that use result caching, you can control the time to live for the cached result. After the cached result expires, the next Business Service call results in invoking the back-end service to get the result. This result is then stored in the cache for future requests to access. I’m thinking that this caching functionality would be perfect for some sort of cross reference data that was refreshed nightly by batch. You can find the OSB Business Service documentation here.Result Caching in a dedicated JVMThis example demonstrates these new features by configuring a OSB Business Service to cache results in a separate Coherence JVM managed by WebLogic. The reason why you may want to use a separate, dedicated JVM is that the result cache data could potentially be quite large and you may want to protect your OSB java heap.In this example, the client will call an OSB Proxy Service to get Employee data based on an Employee Id. Using a Business Service, OSB calls an external system. The results are automatically cached and when called again, the respective results are retrieved from the cache rather than the external system.Step 1 – Set up your Coherence Server Via the OSB Administration Server Console, create your Coherence Server to be used as the results cache.Here are the configured Coherence Server arguments from the Server Start tab. Note that I’m using the default Cache Config and Override files in the domain.-Xms256m -Xmx512m -XX:PermSize=128m -XX:MaxPermSize=256m -Dtangosol.coherence.override=/app/middleware/jdev_11.1.1.4/user_projects/domains/osb_domain2/config/osb/coherence/osb-coherence-override.xml -Dtangosol.coherence.cluster=OSB-cluster -Dtangosol.coherence.cacheconfig=/app/middleware/jdev_11.1.1.4/user_projects/domains/osb_domain2/config/osb/coherence/osb-coherence-cache-config.xml -Dtangosol.coherence.distributed.localstorage=true -Dtangosol.coherence.management=all -Dtangosol.coherence.management.remote=true -Dcom.sun.management.jmxremote Just incase you need it, here is my Coherence Server classpath:/app/middleware/jdev_11.1.1.4/oracle_common/modules/oracle.coherence_3.6/coherence.jar: /app/middleware/jdev_11.1.1.4/modules/features/weblogic.server.modules.coherence.server_10.3.4.0.jar: /app/middleware/jdev_11.1.1.4/oracle_osb/lib/osb-coherence-client.jarBy default, OSB will try and create a local result cache instance. You need to disable this by adding the following JVM parameters to each of the OSB Managed Servers:-Dtangosol.coherence.distributed.localstorage=false -DOSB.coherence.cluster=OSB-clusterIf you need more information on configuring a remote result cache, have a look at the configuration documentration under the heading Using an Out-of-Process Coherence Cache Server.Step 2 – Configure your Business Service Under the respective Business Service Message Handling Configuration (Advanced Properties), you need to enable “Result Caching”. Additionally, you need to determine what the cache data will be keyed on. In the example below, I’m keying it on the unique Employee Id.The Results As this test was on my laptop, the actual timings are just an indication that there is a benefit to caching results. Using my test harness, I sent 10,000 requests to OSB, all with the same Employee Id. In this case, I had result caching disabled.You can see that this caused the back end Business Service (BS_GetEmployeeData) to be called for each request. Then after enabling result caching, I sent the same number of identical requests.You can now see the Business Service was only invoked once on the first request. All subsequent requests used the Results Cache.

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Oracle Big Data Software Downloads

- by Mike.Hallett(at)Oracle-BI&EPM

Companies have been making business decisions for decades based on transactional data stored in relational databases. Beyond that critical data, is a potential treasure trove of less structured data: weblogs, social media, email, sensors, and photographs that can be mined for useful information. Oracle offers a broad integrated portfolio of products to help you acquire and organize these diverse data sources and analyze them alongside your existing data to find new insights and capitalize on hidden relationships. Oracle Big Data Connectors Downloads here, includes: Oracle SQL Connector for Hadoop Distributed File System Release 2.1.0 Oracle Loader for Hadoop Release 2.1.0 Oracle Data Integrator Companion 11g Oracle R Connector for Hadoop v 2.1 Oracle Big Data Documentation The Oracle Big Data solution offers an integrated portfolio of products to help you organize and analyze your diverse data sources alongside your existing data to find new insights and capitalize on hidden relationships. Oracle Big Data, Release 2.2.0 - E41604_01 zip (27.4 MB) Integrated Software and Big Data Connectors User's Guide HTML PDF Oracle Data Integrator (ODI) Application Adapter for Hadoop Apache Hadoop is designed to handle and process data that is typically from data sources that are non-relational and data volumes that are beyond what is handled by relational databases. Typical processing in Hadoop includes data validation and transformations that are programmed as MapReduce jobs. Designing and implementing a MapReduce job usually requires expert programming knowledge. However, when you use Oracle Data Integrator with the Application Adapter for Hadoop, you do not need to write MapReduce jobs. Oracle Data Integrator uses Hive and the Hive Query Language (HiveQL), a SQL-like language for implementing MapReduce jobs. Employing familiar and easy-to-use tools and pre-configured knowledge modules (KMs), the application adapter provides the following capabilities: Loading data into Hadoop from the local file system and HDFS Performing validation and transformation of data within Hadoop Loading processed data from Hadoop to an Oracle database for further processing and generating reports Oracle Database Loader for Hadoop Oracle Loader for Hadoop is an efficient and high-performance loader for fast movement of data from a Hadoop cluster into a table in an Oracle database. It pre-partitions the data if necessary and transforms it into a database-ready format. Oracle Loader for Hadoop is a Java MapReduce application that balances the data across reducers to help maximize performance. Oracle R Connector for Hadoop Oracle R Connector for Hadoop is a collection of R packages that provide: Interfaces to work with Hive tables, the Apache Hadoop compute infrastructure, the local R environment, and Oracle database tables Predictive analytic techniques, written in R or Java as Hadoop MapReduce jobs, that can be applied to data in HDFS files You install and load this package as you would any other R package. Using simple R functions, you can perform tasks such as: Access and transform HDFS data using a Hive-enabled transparency layer Use the R language for writing mappers and reducers Copy data between R memory, the local file system, HDFS, Hive, and Oracle databases Schedule R programs to execute as Hadoop MapReduce jobs and return the results to any of those locations Oracle SQL Connector for Hadoop Distributed File System Using Oracle SQL Connector for HDFS, you can use an Oracle Database to access and analyze data residing in Hadoop in these formats: Data Pump files in HDFS Delimited text files in HDFS Hive tables For other file formats, such as JSON files, you can stage the input in Hive tables before using Oracle SQL Connector for HDFS. Oracle SQL Connector for HDFS uses external tables to provide Oracle Database with read access to Hive tables, and to delimited text files and Data Pump files in HDFS. Related Documentation Cloudera's Distribution Including Apache Hadoop Library HTML Oracle R Enterprise HTML Oracle NoSQL Database HTML Recent Blog Posts Big Data Appliance vs. DIY Price Comparison Big Data: Architecture Overview Big Data: Achieve the Impossible in Real-Time Big Data: Vertical Behavioral Analytics Big Data: In-Memory MapReduce Flume and Hive for Log Analytics Building Workflows in Oozie

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MySQL Cluster 7.3: On-Demand Webinar and Q&A Available

- by Mat Keep

The on-demand webinar for the MySQL Cluster 7.3 Development Release is now available. You can learn more about the design, implementation and getting started with all of the new MySQL Cluster 7.3 features from the comfort and convenience of your own device, including: - Foreign Key constraints in MySQL Cluster - Node.js NoSQL API - Auto-installation of higher performance distributed, clusters We received some great questions over the course of the webinar, and I wanted to share those for the benefit of a broader audience. Q. What Foreign Key actions are supported: A. The core referential actions defined in the SQL:2003 standard are implemented: CASCADE RESTRICT NO ACTION SET NULL Q. Where are Foreign Keys implemented, ie data nodes or SQL nodes? A. They are implemented in the data nodes, therefore can be enforced for both the SQL and NoSQL APIs Q. Are they compatible with the InnoDB Foreign Key implementation? A. Yes, with the following exceptions: - InnoDB doesn’t support “No Action” constraints, MySQL Cluster does - You can choose to suspend FK constraint enforcement with InnoDB using the FOREIGN_KEY_CHECKS parameter; at the moment, MySQL Cluster ignores that parameter. - You cannot set up FKs between 2 tables where one is stored using MySQL Cluster and the other InnoDB. - You cannot change primary keys through the NDB API which means that the MySQL Server actually has to simulate such operations by deleting and re-adding the row. If the PK in the parent table has a FK constraint on it then this causes non-ideal behaviour. With Restrict or No Action constraints, the change will result in an error. With Cascaded constraints, you’d want the rows in the child table to be updated with the new FK value but, the implicit delete of the row from the parent table would remove the associated rows from the child table and the subsequent implicit insert into the parent wouldn’t reinstate the child rows. For this reason, an attempt to add an ON UPDATE CASCADE where the parent column is a primary key will be rejected. Q. Does adding or dropping Foreign Keys cause downtime due to a schema change? A. Nope, this is an online operation. MySQL Cluster supports a number of on-line schema changes, ie adding and dropping indexes, adding columns, etc. Q. Where can I see an example of node.js with MySQL Cluster? A. Check out the tutorial and download the code from GitHub Q. Can I use the auto-installer to support remote deployments? How about setting up MySQL Cluster 7.2? A. Yes to both! Q. Can I get a demo Check out the tutorial. You can download the code from http://labs.mysql.com/ Go to Select Build drop-down box Q. What is be minimum internet speen required for Geo distributed cluster with synchronous replication? A. if you're splitting you cluster between sites then we recommend a network latency of 20ms or less. Alternatively, use MySQL asynchronous replication where the latency of your WAN doesn't impact the latency of your reads/writes. Q. Where you can one learn more about the PayPal project with MySQL Cluster? A. Take a look at the following - you'll find press coverage, a video and slides from their keynote presentation So, if you want to learn more, listen to the new MySQL Cluster 7.3 on-demand webinar MySQL Cluster 7.3 is still in the development phase, so it would be great to get your feedback on these new features, and things you want to see!

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Orchestrating the Virtual Enterprise, Part II

- by Kathryn Perry

A guest post by Jon Chorley, Oracle's CSO & Vice President, SCM Product Strategy Almost everyone has ordered from Amazon.com at one time or another. Our orders are as likely to be fulfilled by third parties as they are by Amazon itself. To deliver the order promptly and efficiently, Amazon has to send it to the right fulfillment location and know the availability in that location. It needs to be able to track status of the fulfillment and deal with exceptions. As a virtual enterprise, Amazon's operations, using thousands of trading partners, requires a very different approach to fulfillment than the traditional 'take an order and ship it from your own warehouse' model. Amazon had no choice but to develop a complex, expensive and custom solution to tackle this problem as there used to be no product solution available. Now, other companies who want to follow similar models have a better off-the-shelf choice -- Oracle Distributed Order Orchestration (DOO). Consider how another of our customers is using our distributed orchestration solution. This major airplane manufacturer has a highly complex business and interacts regularly with the U.S. Government and major airlines. It sits in the middle of an intricate supply chain and needed to improve visibility across its many different entities. Oracle Fusion DOO gives the company an orchestration mechanism so it could improve quality, speed, flexibility, and consistency without requiring an organ transplant of these highly complex legacy systems. Many retailers face the challenge of dealing with brick and mortar, Web, and reseller channels. They all need to be knitted together into a virtual enterprise experience that is consistent for their customers. When a large U.K. grocer with a strong brick and mortar retail operation added an online business, they turned to Oracle Fusion DOO to bring these entities together. Disturbing the Peace with Acquisitions Quite often a company's ERP system is disrupted when it acquires a new company. An acquisition can inject a new set of processes and systems -- or even introduce an entirely new business like Sun's hardware did at Oracle. This challenge has been a driver for some of our DOO customers. A large power management company is using Oracle Fusion DOO to provide the flexibility to rapidly integrate additional products and services into its central fulfillment operation. The Flip Side of Fulfillment Meanwhile, we haven't ignored similar challenges on the supply side of the equation. Specifically, how to manage complex supply in a flexible way when there are multiple trading parties involved? How to manage the supply to suppliers? How to manage critical components that need to merge in a tier two or tier three supply chain? By investing in supply orchestration solutions for the virtual enterprise, we plan to give users better visibility into their network of suppliers to help them drive down costs. We also think this technology and full orchestration process can be applied to the financial side of organizations. An example is transactions that flow through complex internal structures to minimize tax exposure. We can help companies manage those transactions effectively by thinking about the internal organization as a virtual enterprise and bringing the same solution set to this internal challenge. The Clear Front Runner No other company is investing in solving the virtual enterprise supply chain issues like Oracle is. Oracle is in a unique position to become the gold standard in this market space. We have the infrastructure of Oracle technology. We already have an Oracle Fusion DOO application which embraces the best of what's required in this area. And we're absolutely committed to extending our Fusion solution to other use cases and delivering even more business value. Jon ChorleyChief Sustainability Officer & Vice President, SCM Product StrategyOracle Corporation

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Blueprints for Oracle NoSQL Database

- by dan.mcclary

I think that some of the most interesting analytic problems are graph problems. I'm always interested in new ways to store and access graphs. As such, I really like the work being done by Tinkerpop to create Open Source Software to make property graphs more accessible over a wide variety of datastores. Since key-value stores like Oracle NoSQL Database are well-suited to storing property graphs, I decided to extend the Blueprints API to work with it. Below I'll discuss some of the implementation details, but you can check out the finished product here: http://github.com/dwmclary/blueprints-oracle-nosqldb. What's in a Property Graph? In the most general sense, a graph is just a collection of vertices and edges. Vertices and edges can have properties: weights, names, or any number of other traits. In an undirected graph, edges connect vertices without direction. A directed graph specifies that all edges have a head and a tail --- a direction. A multi-graph allows multiple edges to connect two vertices. A "property graph" encompasses all of these traits. Key-Value Stores for Property Graphs Key-Value stores like Oracle NoSQL Database tend to be ideal for implementing property graphs. First, if any vertex or edge can have any number of traits, we can treat it as a hash map. For example: Vertex["name"] = "Mary" Vertex["age"] = 28 Vertex["ID"] = 12345 and so on. This is a natural key-value relationship: the key "name" maps to the value "Mary." Moreover if we maintain two hash maps, one for vertex objects and one for edge objects, we've essentially captured the graph. As such, any scalable key-value store is fertile ground for planting graphs. Oracle NoSQL Database as a Scalable Graph Database While Oracle NoSQL Database offers useful features like tunable consistency, what lends it to storing property graphs is the storage guarantees around its key structure. Keys in Oracle NoSQL Database are divided into two parts: a major key and a minor key. The storage guarantee is simple. Major keys will be distributed across storage nodes, which could encompass a large number of servers. However, all minor keys which are children of a given major key are guaranteed to be stored on the same storage node. For example, the vertices: /Personnel/Vertex/1 and /Personnel/Vertex/2 May be stored on different servers, but /Personnel/Vertex/1-/name and /Personnel/Vertex/1-/age will always be on the same server. This means that we can structure our graph database such that retrieving all the properties for a vertex or edge requires I/O from only a single storage node. Moreover, Oracle NoSQL Database provides a storeIterator which allows us to store a huge number of vertices and edges in a scalable fashion. By storing the vertices and edges as major keys, we guarantee that they are distributed evenly across all storage nodes. At the same time we can use a partial major key to iterate over all the vertices or edges (e.g. we search over /Personnel/Vertex to iterate over all vertices). Fork It! The Blueprints API and Oracle NoSQL Database present a great way to get started using a scalable key-value database to store and access graph data. However, a graph store isn't useful without a good graph to work on. I encourage you to fork or pull the repository, store some data, and try using Gremlin or any other language to explore.

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My Dog, Cross-Channel Shopping, and Fusion SCM

- by Kathryn Perry

A guest post by Mark Carson, Director, Oracle Fusion Supply Chain Management I was walking my dog Max in an open space behind my house. As we tromped through the tall weeds I remembered it is tick season and that I should get Max some protection. While he sniffed merrily in the tick infested brush, I started shopping in the middle of an open field on my phone. I thought it would be convenient to pick up the tick medicine from a pet store on the way home. Searching the pet store website I saw that they had the medicine, but there was no information on whether the store had any in stock and there were no options for shipping it to the store for pickup. I could return it, but not pick it up which seamed kind of odd. I really didn't feel like making calls to the local stores to find out if they had it. Since the product is popular, I tried one of the large 'everything' stores. Browsing its website I could see that it could be shipped to me, shipped to the store for free, and that the store nearest to me had it in stock. Needless to say, this store became a better option. This experience is a small example of why retailers, distributors, and manufactures have placed a high priority on enabling 'cross-channel commerce.' Shoppers like you and me expect to be able to search, compare, buy and return products on-line and over the phone using a variety of devices including PDAs, tablets and in-store kiosks. The pet store lost my business because its web channel had limited information about its stores. I have spoken with many customers and prospects about cross-channel commerce. They all realize the business implications and urgency behind cross-channel commerce but recognize there are challenges to enable it. New and existing applications must be integrated together globally through a consistent cross-channel business process. Integration is required between applications that provide the initial shopping experience and delivery applications associated with warehouses, stores, and partners. The enablement must be accomplished in a flexible way to react to fast-changing product portfolios and new acquisitions, while at the same time minimizing costs through reuse of existing systems. Meanwhile, the business must continue to grow and decision makers need to balance new capability with peak seasons. The challenges above are not unique to retail. Any customer in any industry who has multiple points for capturing orders and multiple points for fulfilling orders will face these challenges. With this in mind, we had a unique opportunity in Fusion SCM to re-think how to build a set of modular and flexible applications in the order management space that would make these challenges easier to conquer. The results are Fusion Distributed Order Orchestration and Global Order Promising. These applications can help companies, such as the pet store, enable true cross-channel commerce. The apps provide highly adaptable and flexible business processes to automate order orchestration across multiple cross-channel systems. They also show a global view of supply across warehouses, stores, and partners for real-time availability and more accurate order promising. Additional capability includes a standards-based integration framework for seamless execution and the ability to reuse existing systems for faster and lower cost implementations. OK, that was a mouthful of features and benefits. As Max waited to cross the street (he can do basic math too), I wondered if he could relate. He does not care about leash laws, pick-up courtesy, where he can/can't walk, what time of day it is, or even ticks. He does not care about how all these things could make walking complicated. He just wants to walk. Similarly, customers just want to shop and companies just want to make it easier to sell and deliver. You can learn more about Distributed Order Orchestration and Global Order Promising in cross-channel here.

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New R Interface to Oracle Data Mining Available for Download

- by charlie.berger

The R Interface to Oracle Data Mining ( R-ODM) allows R users to access the power of Oracle Data Mining's in-database functions using the familiar R syntax. R-ODM provides a powerful environment for prototyping data analysis and data mining methodologies. R-ODM is especially useful for: Quick prototyping of vertical or domain-based applications where the Oracle Database supports the application Scripting of "production" data mining methodologies Customizing graphics of ODM data mining results (examples: classification, regression, anomaly detection) The R-ODM interface allows R users to mine data using Oracle Data Mining from the R programming environment. It consists of a set of function wrappers written in source R language that pass data and parameters from the R environment to the Oracle RDBMS enterprise edition as standard user PL/SQL queries via an ODBC interface. The R-ODM interface code is a thin layer of logic and SQL that calls through an ODBC interface. R-ODM does not use or expose any Oracle product code as it is completely an external interface and not part of any Oracle product. R-ODM is similar to the example scripts (e.g., the PL/SQL demo code) that illustrates the use of Oracle Data Mining, for example, how to create Data Mining models, pass arguments, retrieve results etc. R-ODM is packaged as a standard R source package and is distributed freely as part of the R environment's Comprehensive R Archive Network (CRAN). For information about the R environment, R packages and CRAN, see www.r-project.org. R-ODM is particularly intended for data analysts and statisticians familiar with R but not necessarily familiar with the Oracle database environment or PL/SQL. It is a convenient environment to rapidly experiment and prototype Data Mining models and applications. Data Mining models prototyped in the R environment can easily be deployed in their final form in the database environment, just like any other standard Oracle Data Mining model. What is R? R is a system for statistical computation and graphics. It consists of a language plus a run-time environment with graphics, a debugger, access to certain system functions, and the ability to run programs stored in script files. The design of R has been heavily influenced by two existing languages: Becker, Chambers & Wilks' S and Sussman's Scheme. Whereas the resulting language is very similar in appearance to S, the underlying implementation and semantics are derived from Scheme. R was initially written by Ross Ihaka and Robert Gentleman at the Department of Statistics of the University of Auckland in Auckland, New Zealand. Since mid-1997 there has been a core group (the "R Core Team") who can modify the R source code archive. Besides this core group many R users have contributed application code as represented in the near 1,500 publicly-available packages in the CRAN archive (which has shown exponential growth since 2001; R News Volume 8/2, October 2008). Today the R community is a vibrant and growing group of dozens of thousands of users worldwide. It is free software distributed under a GNU-style copyleft, and an official part of the GNU project ("GNU S"). Resources: R website / CRAN R-ODM

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Application Logging needs work

Application Logging Application logging is the act of logging events that occur within an application much like how a court report documents what happens in court case. Application logs can be useful for several reasons, but the most common use for logs is to recreate steps to find the root cause of applications errors. Other uses can include the detection of Fraud, verification of user activity, or provide audits on user/data interactions. “Logs can contain different kinds of data. The selection of the data used is normally affected by the motivation leading to the logging. “ (OWASP, 2009) OWASP also stats that logging include applicable debugging information like the event date time, responsible process, and a description of the event. “There are many reasons why a logging system is a necessary part of delivering a distributed application. One of the most important is the ability to track exactly how many users are using the application during different time periods.” (Hatton, 2000) Hatton also states that application logging helps system designers determine whether parts of an application aren't being used as designed. He implies that low usage can be used to identify if users like or do not like aspects of a system based on user usage of the application. This enables application designers to extract why users don't like aspects of an application so that changes can be made to increase its usefulness and effectiveness. “Logging memory usage can also assist you in tuning up the internals of your application. If you're experiencing a randomly occurring problem, being able to match activities performed with the memory status at the time may enable you to discover the cause of the problem. It also gives you a good indication of the health of the distributed server machine at the time any activity is performed. “ (Hatton, 2000) Commonly Logged Application Events (Defined by OWASP) Access of Data Creation of Data Modification of Data in any form Administrative Functions Configuration Changes Debugging Information(Application Events) Authorization Attempts Data Deletion Network Communication Authentication Events Errors/Exceptions Application Error Logging The functionality associated with application error logging is actually the combination of proper error handling and applications logging. If we look back at Figure 4 and Figure 5, these code examples allow developers to handle various types of errors that occur within the life cycle of an application’s execution. Application logging can be applied within the Catch section of the TryCatch statement allowing for the errors to be logged when they occur. By placing the logging within the Catch section specific error details can be accessed that help identify the source of the error, the path to the error, what caused the error and definition of the error that occurred. This can then be logged and reviewed at a later date in order recreate the error that was received based data found in the application log. By allowing applications to log errors developers IT staff can use them to recreate errors that are encountered by end-users or other dependent systems.

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Webcast On-Demand: Building Java EE Apps That Scale

- by jeckels

With some awesome work by one of our architects, Randy Stafford, we recently completed a webcast on scaling Java EE apps efficiently. Did you miss it? No problem. We have a replay available on-demand for you. Just hit the '+' sign drop-down for access.Topics include: Domain object caching Service response caching Session state caching JSR-107 HotCache and more! Further, we had several interesting questions asked by our audience, and we thought we'd share a sampling of those here for you - just in case you had the same queries yourself. Enjoy! What is the largest Coherence deployment out there? We have seen deployments with over 500 JVMs in the Coherence cluster, and deployments with over 1000 JVMs using the Coherence jar file, in one system. On the management side there is an ecosystem of monitoring tools from Oracle and third parties with dashboards graphing values from Coherence's JMX instrumentation. For lifecycle management we have seen a lot of custom scripting over the years, but we've also integrated closely with WebLogic to leverage its management ecosystem for deploying Coherence-based applications and managing process life cycles. That integration introduces a new Java EE archive type, the Grid Archive or GAR, which embeds in an EAR and can be seen by a WAR in WebLogic. That integration also doesn't require any extra WebLogic licensing if Coherence is licensed. How is Coherence different from a NoSQL Database like MongoDB? Coherence can be considered a NoSQL technology. It pre-dates the NoSQL movement, having been first released in 2001 whereas the term "NoSQL" was coined in 2009. Coherence has a key-value data model primarily but can also be used for document data models. Coherence manages data in memory currently, though disk persistence is in a future release currently in beta testing. Where the data is managed yields a few differences from the most well-known NoSQL products: access latency is faster with Coherence, though well-known NoSQL databases can manage more data. Coherence also has features that well-known NoSQL database lack, such as grid computing, eventing, and data source integration. Finally Coherence has had 15 years of maturation and hardening from usage in mission-critical systems across a variety of industries, particularly financial services. Can I use Coherence for local caching? Yes, you get additional features beyond just a java.util.Map: you get expiration capabilities, size-limitation capabilities, eventing capabilites, etc. Are there APIs available for GoldenGate HotCache? It's mostly a black box. You configure it, and it just puts objects into your caches. However you can treat it as a glass box, and use Coherence event interceptors to enhance its behavior - and there are use cases for that. Are Coherence caches updated transactionally? Coherence provides several mechanisms for concurrency control. If a project insists on full-blown JTA / XA distributed transactions, Coherence caches can participate as resources. But nobody does that because it's a performance and scalability anti-pattern. At finer granularity, Coherence guarantees strict ordering of all operations (reads and writes) against a single cache key if the operations are done using Coherence's "EntryProcessor" feature. And Coherence has a unique feature called "partition-level transactions" which guarantees atomic writes of multiple cache entries (even in different caches) without requiring JTA / XA distributed transaction semantics.

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TransactionScope won't work with DB2 provider

- by Florin

Hi Everyone, I've been trying to use TransactionScope with a DB2 database (using DB2 .Net provider v 9.0.0.2 and c# 2.0) which SHOULD be supported according to IBM. I have tried all the advice i could find on the IBM forums (such as here) to no avail. I have enabled XA transactions on my XP Sp2 machine, tried also from a Win 2003 Server machine but i consistently get the infamous error: ERROR [58005] [IBM][DB2/NT] SQL0998N Error occurred during transaction or heuristic processing. Reason Code = "16". Subcode = "2-80004005". SQLSTATE=58005 The windows event log says: The XA Transaction Manager attempted to load the XA resource manager DLL. The call to LOADLIBRARY for the XA resource manager DLL failed: DLL=C:\APPS\IBM\DB2v95fp2\SQLLIB\BIN\DB2APP.DLL File=d:\comxp_sp2\com\com1x\dtc\dtc\xatm\src\xarmconn.cpp Line=2467. Also, granted the NETWORK SERVICE user full rights to the folder and dll. Here's the MSDTC startup message MS DTC started with the following settings: Security Configuration (OFF = 0 and ON = 1): Network Administration of Transactions = 0, Network Clients = 0, Inbound Distributed Transactions using Native MSDTC Protocol = 0, Outbound Distributed Transactions using Native MSDTC Protocol = 0, Transaction Internet Protocol (TIP) = 0, XA Transactions = 1 Any help would be much appreciated! Thanks, Florin

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Mercurial fails while commiting/updating/etc. using Mercuriual+TrueCrypt+MAC

- by lukewar

While trying to work with Mercurial on project located on TrueCrypt partition I always get en error as follows: ** unknown exception encountered, details follow ** report bug details to http://mercurial.selenic.com/bts/ ** or [email protected] ** Mercurial Distributed SCM (version 1.5.2+20100502) ** Extensions loaded: Traceback (most recent call last): File "/usr/local/bin/hg", line 27, in mercurial.dispatch.run() File "/Library/Python/2.6/site-packages/mercurial/dispatch.py", line 16, in run sys.exit(dispatch(sys.argv[1:])) File "/Library/Python/2.6/site-packages/mercurial/dispatch.py", line 30, in dispatch return _runcatch(u, args) File "/Library/Python/2.6/site-packages/mercurial/dispatch.py", line 50, in _runcatch return _dispatch(ui, args) File "/Library/Python/2.6/site-packages/mercurial/dispatch.py", line 470, in _dispatch return runcommand(lui, repo, cmd, fullargs, ui, options, d) File "/Library/Python/2.6/site-packages/mercurial/dispatch.py", line 340, in runcommand ret = _runcommand(ui, options, cmd, d) File "/Library/Python/2.6/site-packages/mercurial/dispatch.py", line 521, in _runcommand return checkargs() File "/Library/Python/2.6/site-packages/mercurial/dispatch.py", line 475, in checkargs return cmdfunc() File "/Library/Python/2.6/site-packages/mercurial/dispatch.py", line 469, in d = lambda: util.checksignature(func)(ui, *args, **cmdoptions) File "/Library/Python/2.6/site-packages/mercurial/util.py", line 401, in check return func(*args, **kwargs) File "/Library/Python/2.6/site-packages/mercurial/commands.py", line 3332, in update return hg.update(repo, rev) File "/Library/Python/2.6/site-packages/mercurial/hg.py", line 362, in update stats = _merge.update(repo, node, False, False, None) File "/Library/Python/2.6/site-packages/mercurial/merge.py", line 495, in update _checkunknown(wc, p2) File "/Library/Python/2.6/site-packages/mercurial/merge.py", line 77, in _checkunknown for f in wctx.unknown(): File "/Library/Python/2.6/site-packages/mercurial/context.py", line 660, in unknown return self._status[4] File "/Library/Python/2.6/site-packages/mercurial/util.py", line 156, in get result = self.func(obj) File "/Library/Python/2.6/site-packages/mercurial/context.py", line 622, in _status return self._repo.status(unknown=True) File "/Library/Python/2.6/site-packages/mercurial/localrepo.py", line 1023, in status if (f not in ctx1 or ctx2.flags(f) != ctx1.flags(f) File "/Library/Python/2.6/site-packages/mercurial/context.py", line 694, in flags flag = findflag(self._parents[0]) File "/Library/Python/2.6/site-packages/mercurial/context.py", line 690, in findflag return ff(path) File "/Library/Python/2.6/site-packages/mercurial/dirstate.py", line 145, in f if 'x' in fallback(x): TypeError: argument of type 'NoneType' is not iterable It is worth mention that Mercurial works perfectly if project is not located on TrueCrypt partition. Configuration: MacOS X 10.6.3 Mercurial Distributed SCM (version 1.5.2+20100502) Python 2.6.5 Have anyone of you generous people able to help me? :)

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What makes merging in DVCS easy?

- by afriza

I read at Joel on Software: With distributed version control, the distributed part is actually not the most interesting part. The interesting part is that these systems think in terms of changes, not in terms of versions. and at HgInit: When we have to merge, Subversion tries to look at both revisions—my modified code, and your modified code—and it tries to guess how to smash them together in one big unholy mess. It usually fails, producing pages and pages of “merge conflicts” that aren’t really conflicts, simply places where Subversion failed to figure out what we did. By contrast, while we were working separately in Mercurial, Mercurial was busy keeping a series of changesets. And so, when we want to merge our code together, Mercurial actually has a whole lot more information: it knows what each of us changed and can reapply those changes, rather than just looking at the final product and trying to guess how to put it together. By looking at the SVN's repository folder, I have the impression that Subversion is maintaining each revisions as changeset. And from what I know, Hg is using both changeset and snapshot while Git is purely using snapshot to store the data. If my assumption is correct, then there must be other ways that make merging in DVCS easy. What are those?

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Is their a definitive list for the differences between the current version of SQL Azure and SQL Serv

- by Aim Kai

I am a relative newbie when it comes to SQL Azure!! I was wondering if there was a definitive list somewhere regarding what is and is not supported by SQL Azure in regards to SQL Server 2008? I have had a look through google but I've noticed some of the blog posts are missing things which I have found through my own testing: For example, quite a lot is summarised in this blog entry http://www.keepitsimpleandfast.com/2009/12/main-differences-between-sql-azure-and.html Common Language Runtime (CLR) Database file placement Database mirroring Distributed queries Distributed transactions Filegroup management Global temporary tables Spatial data and indexes SQL Server configuration options SQL Server Service Broker System tables Trace Flags which is a repeat of the MSDN page http://msdn.microsoft.com/en-us/library/ff394115.aspx I've noticed from my own testing that the following seem to have issues when migrating from SQL Server 2008 to the Azure: XML Types (the msdn does mention large custom types - I guess it may include this?? even if the data schema is really small?) Multi-part views I've been using SQL Azure Migration Wizard v3.1.8 to migrate local databases into the cloud. I was wondering if anyone could point to a list or give me any information till when these features are likely to be included in SQL Azure.

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Is Git ready to be recommended to my boss?

- by Mike Weller

I want to recomment Git to my boss as a new source control system, since we're stuck in the 90s with VSS (ouch), but are the tools and 3rd party support good enough yet? Specifically I'm talking about GUI front-ends similar to TortoiseSVN, decent visual diff/merge support, as well as stuff like email commit notifications and general support from 3rd parties like IDEs and build systems. Even though this will be used by programmers, we really need this kind of stuff in our team. I don't want to leave everyone stuck with a new tool, and even a new source control paradigm (distributed), with nothing but a command-line app and some online tutorials. This would be a step backwards. So what do you think... is Git ready? What decent tools exist for Git and what third party development apps support it? EDIT: My original question was pretty vague so I'm updating it to specifically ask for a list of available tools and 3rd party support for Git. Maybe we can get a community wiki post with a list of stuff. I also do not consider 'use subversion' to be an adequate answer. There are other reasons to use a distributed source control system other than offline editing - private and cheap branches being one of them.

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Choosing between .NET Service Bus Queues vs Azure Queue Service

- by ChrisV

Just a quick question regarding an Azure application. If I have a number of Web and Worker roles that need to communicate, documentation says to use the Azure Queue Service. However, I've just read that the new .NET Service Bus now also offers queues. These look to be more powerful as they appear to offer a much more detailed API. Whilst the .NSB looks more interesting it has a couple of issues that make me wary of using it in distributed application. (for example, Queue Expiration... if I cannot guarantee that a queue will be renewed on time I may lose it all!). Has anyone had any experience using either of these two technologies and could give any advice on when to choose one over the other. I suspect that whilst the service bus looks more powerful, as my use case is really just enabling Web/Worker roles to communicate between each other, that the Azure Queue Service is what I'm after. But I'm just really looking for confirmation of that before progamming myself in to a corner :-) Thanks in advance. UPDATE Have read up about the two systems over the break. It defo looks like .NET service bus is more specifically designed for integrating systems rather than providing a general purpose reliable messaging system. Azure Queues are distributed and so reliable and scalable in a way that .NSB queues are not and so more suitable for code hosted within Azure itself. Thanks for the responses.

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Extract 2 numbers preceded with two different strings in a paragrapf using TCL Regular Expression

- by Madhu

Hi, I need to extract two different numbers preceded by two different strings. Employee Id-- Employee16(I need 16) and Employee links-- Employee links:2 (I need 2). Source String looks like following: Employee16, Employee name is QueenRose Working for 46w0d Billing is Distributed 65537 assigned tasks, 0 reordered, 0 unassigned 0 discarded, 0 lost received, 5/255 load received sequence unavailable, 0xC2E7 sent sequence Employee links: 2 active, 0 inactive (max not set, min not set) Dt3/5/10:0, since 46w0d, no tasks pending Dt3/5/10:10, since 21w0d, no tasks rcvd Employee is currently working in Hardware section. Employee19, Employee name is Edward11 Working for 48w4d Billing is Distributed 206801498 assigned tasks, 0 reordered, 0 unassigned 655372 discarded, 0 lost received, 9/255 load received sequence unavailable, 0x23CA sent sequence Employee links: 7 active, 0 inactive (max not set, min not set) Dt3/5/10:0, since 47w2d, tasks pending Dt3/5/10:10, since 28w6d, no tasks pending Dt3/5/10:11, since 18w4d, no tasks pending Dt3/5/10:12, since 18w4d, no tasks pending Dt3/5/10:13, since 18w4d, no tasks pending Dt3/5/10:14, since 18w4d, no tasks pending Dt3/5/10:15, since 7w2d, no tasks pending Employee is currently working in Hardware sectione. Employee6 (inactive) Employee links: 2 Dt3/5/10:0 (inactive) Dt3/5/10:10 (inactive) Employee7 (inactive) Employee links: 2 Dt3/5/10:0 (inactive) Dt3/5/10:10 (inactive) Tried with the following: Multilink(\d+)[^\n\r]*[^M]*Member links:\s+(\d+) But is not listing all the Ids and links. Can anybody help me getting this? Thanks in advance, Madhu.

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How to generate a number in arbitrary range using random()={0..1} preserving uniformness and density?

- by psihodelia

Generate a random number in range [x..y] where x and y are any arbitrary floating point numbers. Use function random(), which returns a random floating point number in range [0..1] from P uniformly distributed numbers (call it "density"). Uniform distribution must be preserved and P must be scaled as well. I think, there is no easy solution for such problem. To simplify it a bit, I ask you how to generate a number in interval [-0.5 .. 0.5], then in [0 .. 2], then in [-2 .. 0], preserving uniformness and density? Thus, for [0 .. 2] it must generate a random number from P*2 uniformly distributed numbers. The obvious simple solution random() * (x - y) + y will generate not all possible numbers because of the lower density for all abs(x-y)>1.0 cases. Many possible values will be missed. Remember, that random() returns only a number from P possible numbers. Then, if you multiply such number by Q, it will give you only one of P possible values, scaled by Q, but you have to scale density P by Q as well.

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