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  • jquery intercept

    - by zurna
    In another question's discussion, I became aware of intercepting clicks and updating area without refreshing the whole page. Problem is, the following code seems correct to me and I dont receive any errors but data taken from another page is not displayed at all. Please advise. main page $('ul.thumbs li.pagination a').live('click', function() { var pageNumber = parseInt($(this).text().replace(/[^0-9]/g, '')); $(function ViewImages() { $.ajax({ type: "GET", url: "/FLPM/cp/images.cs.asp?Process=ViewImages&PAGEID=" + pageNumber, success: function(data) { $("#ViewImages").html(data); }, error: function (XMLHttpRequest, textStatus, errorThrown) { $("#ViewImages").html('.'); } }); }); return false; }); <div id="ViewImages"> </div> page where data lays <ul class="thumbs"> <li> <a href="#" class="thumb"><img src="/FLPM/media/news/images/5P2B4K5M_sm.jpg" alt="Forest Flowers" class="floatLeft" /></a> <br /> <a href="?Process=DeleteImage&IMAGEID=21" class="thumb"><span class="floatLeft">DELETE</span></a> </li> <li> <a href="#" class="thumb"><img src="/FLPM/media/news/images/6Z3L5U6W_sm.jpg" alt="Forest" class="floatLeft" /></a> <br /> <a href="?Process=DeleteImage&IMAGEID=20" class="thumb"><span class="floatLeft">DELETE</span></a> </li> <li> <a href="#" class="thumb"><img src="/FLPM/media/news/images/8O5A7J8M_sm.jpg" alt="Dock" class="floatLeft" /></a> <br /> <a href="?Process=DeleteImage&IMAGEID=19" class="thumb"><span class="floatLeft">DELETE</span></a> </li> <li> <a href="#" class="thumb"><img src="/FLPM/media/news/images/9Q6B3Q4S_sm.jpg" alt="Desert Landscape" class="floatLeft" /></a> <br /> <a href="?Process=DeleteImage&IMAGEID=18" class="thumb"><span class="floatLeft">DELETE</span></a> </li> <li> <a href="#" class="thumb"><img src="/FLPM/media/news/images/5B2N4W5Z_sm.jpg" alt="Creek" class="floatLeft" /></a> <br /> <a href="?Process=DeleteImage&IMAGEID=17" class="thumb"><span class="floatLeft">DELETE</span></a> </li> <li class="pagination">1.&nbsp;</li> <li class="pagination"><a href="2">2.</a>&nbsp;</li> </ul>

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  • How to find specific value of the node in xml file

    - by user2735149
    I am making windows phone 8 app based the webservices. This is my xml code: - <response> <timestamp>2013-10-31T08:30:56Z</timestamp> <resultsOffset>0</resultsOffset> <status>success</status> <resultsLimit>8</resultsLimit> <resultsCount>38</resultsCount> - <headlines> - <headlinesItem> <headline>City edge past Toon</headline> <keywords /> <lastModified>2013-10-30T23:45:22Z</lastModified> <audio /> <premium>false</premium> + <links> - <api> - <news> <href>http://api.espn.com/v1/sports/news/1600444?region=GB</href> </news> </api> - <web> <href>http://espnfc.com/uk/en/report/381799/city-edge-toon?ex_cid=espnapi_public</href> </web> - <mobile> <href>http://m.espn.go.com/soccer/gamecast?gameId=381799&lang=EN&ex_cid=espnapi_public</href> </mobile> </links> <type>snReport</type> <related /> <id>1600444</id> <story>Alvardo Negredo and Edin Dzeko struck in extra-time to book Manchester City's place in the last eight of the Capital One Cup, while Costel Pantilimon kept a clean sheet in the 2-0 win to keep the pressure on Joe Hart. </story> <linkText>Newcastle 0-2 Man City</linkText> - <images> - <imagesItem> <height>360</height> <alt>Man City celebrate after Edin Dzeko scored their second extra-time goal at Newcastle.</alt> <width>640</width> <name>Man City celeb Edin Dzeko goal v nufc 20131030 [640x360]</name> <caption>Man City celebrate after Edin Dzeko scored their second extra-time goal at Newcastle.</caption> <type>inline</type> <url>http://espnfc.com/design05/images/2013/1030/mancitycelebedindzekogoalvnufc20131030_640x360.jpg</url> </imagesItem> </images> Code behind: myData = XDocument.Parse(e.Result, LoadOptions.None); var data = myData.Descendants("headlines").FirstOrDefault(); var data1 = from query in myData.Descendants("headlinesItem") select new UpdataNews { News = (string)query.Element("headline").Value, Desc = (string)query.Element("description"), Newsurl = (string)query.Element("links").Element("mobile").Element("href"), Imageurl=(string)query.Element("images").Element("imagesItem").Element("url").Value, }; lstShow.ItemsSource = data1; I am trying to get value from xml tags and assign them to News,Desc, etc. Everything works fine except Imageurl, it shows NullException. I tried same method for Imageurl, i dont know whats going wrong. Help..

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  • WebSocket and Java EE 7 - Getting Ready for JSR 356 (TOTD #181)

    - by arungupta
    WebSocket is developed as part of HTML 5 specification and provides a bi-directional, full-duplex communication channel over a single TCP socket. It provides dramatic improvement over the traditional approaches of Polling, Long-Polling, and Streaming for two-way communication. There is no latency from establishing new TCP connections for each HTTP message. There is a WebSocket API and the WebSocket Protocol. The Protocol defines "handshake" and "framing". The handshake defines how a normal HTTP connection can be upgraded to a WebSocket connection. The framing defines wire format of the message. The design philosophy is to keep the framing minimum to avoid the overhead. Both text and binary data can be sent using the API. WebSocket may look like a competing technology to Server-Sent Events (SSE), but they are not. Here are the key differences: WebSocket can send and receive data from a client. A typical example of WebSocket is a two-player game or a chat application. Server-Sent Events can only push data data to the client. A typical example of SSE is stock ticker or news feed. With SSE, XMLHttpRequest can be used to send data to the server. For server-only updates, WebSockets has an extra overhead and programming can be unecessarily complex. SSE provides a simple and easy-to-use model that is much better suited. SSEs are sent over traditional HTTP and so no modification is required on the server-side. WebSocket require servers that understand the protocol. SSE have several features that are missing from WebSocket such as automatic reconnection, event IDs, and the ability to send arbitrary events. The client automatically tries to reconnect if the connection is closed. The default wait before trying to reconnect is 3 seconds and can be configured by including "retry: XXXX\n" header where XXXX is the milliseconds to wait before trying to reconnect. Event stream can include a unique event identifier. This allows the server to determine which events need to be fired to each client in case the connection is dropped in between. The data can span multiple lines and can be of any text format as long as EventSource message handler can process it. WebSockets provide true real-time updates, SSE can be configured to provide close to real-time by setting appropriate timeouts. OK, so all excited about WebSocket ? Want to convert your POJOs into WebSockets endpoint ? websocket-sdk and GlassFish 4.0 is here to help! The complete source code shown in this project can be downloaded here. On the server-side, the WebSocket SDK converts a POJO into a WebSocket endpoint using simple annotations. Here is how a WebSocket endpoint will look like: @WebSocket(path="/echo")public class EchoBean { @WebSocketMessage public String echo(String message) { return message + " (from your server)"; }} In this code "@WebSocket" is a class-level annotation that declares a POJO to accept WebSocket messages. The path at which the messages are accepted is specified in this annotation. "@WebSocketMessage" indicates the Java method that is invoked when the endpoint receives a message. This method implementation echoes the received message concatenated with an additional string. The client-side HTML page looks like <div style="text-align: center;"> <form action=""> <input onclick="send_echo()" value="Press me" type="button"> <input id="textID" name="message" value="Hello WebSocket!" type="text"><br> </form></div><div id="output"></div> WebSocket allows a full-duplex communication. So the client, a browser in this case, can send a message to a server, a WebSocket endpoint in this case. And the server can send a message to the client at the same time. This is unlike HTTP which follows a "request" followed by a "response". In this code, the "send_echo" method in the JavaScript is invoked on the button click. There is also a <div> placeholder to display the response from the WebSocket endpoint. The JavaScript looks like: <script language="javascript" type="text/javascript"> var wsUri = "ws://localhost:8080/websockets/echo"; var websocket = new WebSocket(wsUri); websocket.onopen = function(evt) { onOpen(evt) }; websocket.onmessage = function(evt) { onMessage(evt) }; websocket.onerror = function(evt) { onError(evt) }; function init() { output = document.getElementById("output"); } function send_echo() { websocket.send(textID.value); writeToScreen("SENT: " + textID.value); } function onOpen(evt) { writeToScreen("CONNECTED"); } function onMessage(evt) { writeToScreen("RECEIVED: " + evt.data); } function onError(evt) { writeToScreen('<span style="color: red;">ERROR:</span> ' + evt.data); } function writeToScreen(message) { var pre = document.createElement("p"); pre.style.wordWrap = "break-word"; pre.innerHTML = message; output.appendChild(pre); } window.addEventListener("load", init, false);</script> In this code The URI to connect to on the server side is of the format ws://<HOST>:<PORT>/websockets/<PATH> "ws" is a new URI scheme introduced by the WebSocket protocol. <PATH> is the path on the endpoint where the WebSocket messages are accepted. In our case, it is ws://localhost:8080/websockets/echo WEBSOCKET_SDK-1 will ensure that context root is included in the URI as well. WebSocket is created as a global object so that the connection is created only once. This object establishes a connection with the given host, port and the path at which the endpoint is listening. The WebSocket API defines several callbacks that can be registered on specific events. The "onopen", "onmessage", and "onerror" callbacks are registered in this case. The callbacks print a message on the browser indicating which one is called and additionally also prints the data sent/received. On the button click, the WebSocket object is used to transmit text data to the endpoint. Binary data can be sent as one blob or using buffering. The HTTP request headers sent for the WebSocket call are: GET ws://localhost:8080/websockets/echo HTTP/1.1Origin: http://localhost:8080Connection: UpgradeSec-WebSocket-Extensions: x-webkit-deflate-frameHost: localhost:8080Sec-WebSocket-Key: mDbnYkAUi0b5Rnal9/cMvQ==Upgrade: websocketSec-WebSocket-Version: 13 And the response headers received are Connection:UpgradeSec-WebSocket-Accept:q4nmgFl/lEtU2ocyKZ64dtQvx10=Upgrade:websocket(Challenge Response):00:00:00:00:00:00:00:00:00:00:00:00:00:00:00:00 The headers are shown in Chrome as shown below: The complete source code shown in this project can be downloaded here. The builds from websocket-sdk are integrated in GlassFish 4.0 builds. Would you like to live on the bleeding edge ? Then follow the instructions below to check out the workspace and install the latest SDK: Check out the source code svn checkout https://svn.java.net/svn/websocket-sdk~source-code-repository Build and install the trunk in your local repository as: mvn install Copy "./bundles/websocket-osgi/target/websocket-osgi-0.3-SNAPSHOT.jar" to "glassfish3/glassfish/modules/websocket-osgi.jar" in your GlassFish 4 latest promoted build. Notice, you need to overwrite the JAR file. Anybody interested in building a cool application using WebSocket and get it running on GlassFish ? :-) This work will also feed into JSR 356 - Java API for WebSocket. On a lighter side, there seems to be less agreement on the name. Here are some of the options that are prevalent: WebSocket (W3C API, the URL is www.w3.org/TR/websockets though) Web Socket (HTML5 Demos - html5demos.com/web-socket) Websocket (Jenkins Plugin - wiki.jenkins-ci.org/display/JENKINS/Websocket%2BPlugin) WebSockets (Used by Mozilla - developer.mozilla.org/en/WebSockets, but use WebSocket as well) Web sockets (HTML5 Working Group - www.whatwg.org/specs/web-apps/current-work/multipage/network.html) Web Sockets (Chrome Blog - blog.chromium.org/2009/12/web-sockets-now-available-in-google.html) I prefer "WebSocket" as that seems to be most common usage and used by the W3C API as well. What do you use ?

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  • Using R to Analyze G1GC Log Files

    - by user12620111
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  Using R to Analyze G1GC Log Files   Using R to Analyze G1GC Log Files Introduction Working in Oracle Platform Integration gives an engineer opportunities to work on a wide array of technologies. My team’s goal is to make Oracle applications run best on the Solaris/SPARC platform. When looking for bottlenecks in a modern applications, one needs to be aware of not only how the CPUs and operating system are executing, but also network, storage, and in some cases, the Java Virtual Machine. I was recently presented with about 1.5 GB of Java Garbage First Garbage Collector log file data. If you’re not familiar with the subject, you might want to review Garbage First Garbage Collector Tuning by Monica Beckwith. The customer had been running Java HotSpot 1.6.0_31 to host a web application server. I was told that the Solaris/SPARC server was running a Java process launched using a commmand line that included the following flags: -d64 -Xms9g -Xmx9g -XX:+UseG1GC -XX:MaxGCPauseMillis=200 -XX:InitiatingHeapOccupancyPercent=80 -XX:PermSize=256m -XX:MaxPermSize=256m -XX:+PrintGC -XX:+PrintGCTimeStamps -XX:+PrintHeapAtGC -XX:+PrintGCDateStamps -XX:+PrintFlagsFinal -XX:+DisableExplicitGC -XX:+UnlockExperimentalVMOptions -XX:ParallelGCThreads=8 Several sources on the internet indicate that if I were to print out the 1.5 GB of log files, it would require enough paper to fill the bed of a pick up truck. Of course, it would be fruitless to try to scan the log files by hand. Tools will be required to summarize the contents of the log files. Others have encountered large Java garbage collection log files. There are existing tools to analyze the log files: IBM’s GC toolkit The chewiebug GCViewer gchisto HPjmeter Instead of using one of the other tools listed, I decide to parse the log files with standard Unix tools, and analyze the data with R. Data Cleansing The log files arrived in two different formats. I guess that the difference is that one set of log files was generated using a more verbose option, maybe -XX:+PrintHeapAtGC, and the other set of log files was generated without that option. Format 1 In some of the log files, the log files with the less verbose format, a single trace, i.e. the report of a singe garbage collection event, looks like this: {Heap before GC invocations=12280 (full 61): garbage-first heap total 9437184K, used 7499918K [0xfffffffd00000000, 0xffffffff40000000, 0xffffffff40000000) region size 4096K, 1 young (4096K), 0 survivors (0K) compacting perm gen total 262144K, used 144077K [0xffffffff40000000, 0xffffffff50000000, 0xffffffff50000000) the space 262144K, 54% used [0xffffffff40000000, 0xffffffff48cb3758, 0xffffffff48cb3800, 0xffffffff50000000) No shared spaces configured. 2014-05-14T07:24:00.988-0700: 60586.353: [GC pause (young) 7324M->7320M(9216M), 0.1567265 secs] Heap after GC invocations=12281 (full 61): garbage-first heap total 9437184K, used 7496533K [0xfffffffd00000000, 0xffffffff40000000, 0xffffffff40000000) region size 4096K, 0 young (0K), 0 survivors (0K) compacting perm gen total 262144K, used 144077K [0xffffffff40000000, 0xffffffff50000000, 0xffffffff50000000) the space 262144K, 54% used [0xffffffff40000000, 0xffffffff48cb3758, 0xffffffff48cb3800, 0xffffffff50000000) No shared spaces configured. } A simple grep can be used to extract a summary: $ grep "\[ GC pause (young" g1gc.log 2014-05-13T13:24:35.091-0700: 3.109: [GC pause (young) 20M->5029K(9216M), 0.0146328 secs] 2014-05-13T13:24:35.440-0700: 3.459: [GC pause (young) 9125K->6077K(9216M), 0.0086723 secs] 2014-05-13T13:24:37.581-0700: 5.599: [GC pause (young) 25M->8470K(9216M), 0.0203820 secs] 2014-05-13T13:24:42.686-0700: 10.704: [GC pause (young) 44M->15M(9216M), 0.0288848 secs] 2014-05-13T13:24:48.941-0700: 16.958: [GC pause (young) 51M->20M(9216M), 0.0491244 secs] 2014-05-13T13:24:56.049-0700: 24.066: [GC pause (young) 92M->26M(9216M), 0.0525368 secs] 2014-05-13T13:25:34.368-0700: 62.383: [GC pause (young) 602M->68M(9216M), 0.1721173 secs] But that format wasn't easily read into R, so I needed to be a bit more tricky. I used the following Unix command to create a summary file that was easy for R to read. $ echo "SecondsSinceLaunch BeforeSize AfterSize TotalSize RealTime" $ grep "\[GC pause (young" g1gc.log | grep -v mark | sed -e 's/[A-SU-z\(\),]/ /g' -e 's/->/ /' -e 's/: / /g' | more SecondsSinceLaunch BeforeSize AfterSize TotalSize RealTime 2014-05-13T13:24:35.091-0700 3.109 20 5029 9216 0.0146328 2014-05-13T13:24:35.440-0700 3.459 9125 6077 9216 0.0086723 2014-05-13T13:24:37.581-0700 5.599 25 8470 9216 0.0203820 2014-05-13T13:24:42.686-0700 10.704 44 15 9216 0.0288848 2014-05-13T13:24:48.941-0700 16.958 51 20 9216 0.0491244 2014-05-13T13:24:56.049-0700 24.066 92 26 9216 0.0525368 2014-05-13T13:25:34.368-0700 62.383 602 68 9216 0.1721173 Format 2 In some of the log files, the log files with the more verbose format, a single trace, i.e. the report of a singe garbage collection event, was more complicated than Format 1. Here is a text file with an example of a single G1GC trace in the second format. As you can see, it is quite complicated. It is nice that there is so much information available, but the level of detail can be overwhelming. I wrote this awk script (download) to summarize each trace on a single line. #!/usr/bin/env awk -f BEGIN { printf("SecondsSinceLaunch IncrementalCount FullCount UserTime SysTime RealTime BeforeSize AfterSize TotalSize\n") } ###################### # Save count data from lines that are at the start of each G1GC trace. # Each trace starts out like this: # {Heap before GC invocations=14 (full 0): # garbage-first heap total 9437184K, used 325496K [0xfffffffd00000000, 0xffffffff40000000, 0xffffffff40000000) ###################### /{Heap.*full/{ gsub ( "\\)" , "" ); nf=split($0,a,"="); split(a[2],b," "); getline; if ( match($0, "first") ) { G1GC=1; IncrementalCount=b[1]; FullCount=substr( b[3], 1, length(b[3])-1 ); } else { G1GC=0; } } ###################### # Pull out time stamps that are in lines with this format: # 2014-05-12T14:02:06.025-0700: 94.312: [GC pause (young), 0.08870154 secs] ###################### /GC pause/ { DateTime=$1; SecondsSinceLaunch=substr($2, 1, length($2)-1); } ###################### # Heap sizes are in lines that look like this: # [ 4842M->4838M(9216M)] ###################### /\[ .*]$/ { gsub ( "\\[" , "" ); gsub ( "\ \]" , "" ); gsub ( "->" , " " ); gsub ( "\\( " , " " ); gsub ( "\ \)" , " " ); split($0,a," "); if ( split(a[1],b,"M") > 1 ) {BeforeSize=b[1]*1024;} if ( split(a[1],b,"K") > 1 ) {BeforeSize=b[1];} if ( split(a[2],b,"M") > 1 ) {AfterSize=b[1]*1024;} if ( split(a[2],b,"K") > 1 ) {AfterSize=b[1];} if ( split(a[3],b,"M") > 1 ) {TotalSize=b[1]*1024;} if ( split(a[3],b,"K") > 1 ) {TotalSize=b[1];} } ###################### # Emit an output line when you find input that looks like this: # [Times: user=1.41 sys=0.08, real=0.24 secs] ###################### /\[Times/ { if (G1GC==1) { gsub ( "," , "" ); split($2,a,"="); UserTime=a[2]; split($3,a,"="); SysTime=a[2]; split($4,a,"="); RealTime=a[2]; print DateTime,SecondsSinceLaunch,IncrementalCount,FullCount,UserTime,SysTime,RealTime,BeforeSize,AfterSize,TotalSize; G1GC=0; } } The resulting summary is about 25X smaller that the original file, but still difficult for a human to digest. SecondsSinceLaunch IncrementalCount FullCount UserTime SysTime RealTime BeforeSize AfterSize TotalSize ... 2014-05-12T18:36:34.669-0700: 3985.744 561 0 0.57 0.06 0.16 1724416 1720320 9437184 2014-05-12T18:36:34.839-0700: 3985.914 562 0 0.51 0.06 0.19 1724416 1720320 9437184 2014-05-12T18:36:35.069-0700: 3986.144 563 0 0.60 0.04 0.27 1724416 1721344 9437184 2014-05-12T18:36:35.354-0700: 3986.429 564 0 0.33 0.04 0.09 1725440 1722368 9437184 2014-05-12T18:36:35.545-0700: 3986.620 565 0 0.58 0.04 0.17 1726464 1722368 9437184 2014-05-12T18:36:35.726-0700: 3986.801 566 0 0.43 0.05 0.12 1726464 1722368 9437184 2014-05-12T18:36:35.856-0700: 3986.930 567 0 0.30 0.04 0.07 1726464 1723392 9437184 2014-05-12T18:36:35.947-0700: 3987.023 568 0 0.61 0.04 0.26 1727488 1723392 9437184 2014-05-12T18:36:36.228-0700: 3987.302 569 0 0.46 0.04 0.16 1731584 1724416 9437184 Reading the Data into R Once the GC log data had been cleansed, either by processing the first format with the shell script, or by processing the second format with the awk script, it was easy to read the data into R. g1gc.df = read.csv("summary.txt", row.names = NULL, stringsAsFactors=FALSE,sep="") str(g1gc.df) ## 'data.frame': 8307 obs. of 10 variables: ## $ row.names : chr "2014-05-12T14:00:32.868-0700:" "2014-05-12T14:00:33.179-0700:" "2014-05-12T14:00:33.677-0700:" "2014-05-12T14:00:35.538-0700:" ... ## $ SecondsSinceLaunch: num 1.16 1.47 1.97 3.83 6.1 ... ## $ IncrementalCount : int 0 1 2 3 4 5 6 7 8 9 ... ## $ FullCount : int 0 0 0 0 0 0 0 0 0 0 ... ## $ UserTime : num 0.11 0.05 0.04 0.21 0.08 0.26 0.31 0.33 0.34 0.56 ... ## $ SysTime : num 0.04 0.01 0.01 0.05 0.01 0.06 0.07 0.06 0.07 0.09 ... ## $ RealTime : num 0.02 0.02 0.01 0.04 0.02 0.04 0.05 0.04 0.04 0.06 ... ## $ BeforeSize : int 8192 5496 5768 22528 24576 43008 34816 53248 55296 93184 ... ## $ AfterSize : int 1400 1672 2557 4907 7072 14336 16384 18432 19456 21504 ... ## $ TotalSize : int 9437184 9437184 9437184 9437184 9437184 9437184 9437184 9437184 9437184 9437184 ... head(g1gc.df) ## row.names SecondsSinceLaunch IncrementalCount ## 1 2014-05-12T14:00:32.868-0700: 1.161 0 ## 2 2014-05-12T14:00:33.179-0700: 1.472 1 ## 3 2014-05-12T14:00:33.677-0700: 1.969 2 ## 4 2014-05-12T14:00:35.538-0700: 3.830 3 ## 5 2014-05-12T14:00:37.811-0700: 6.103 4 ## 6 2014-05-12T14:00:41.428-0700: 9.720 5 ## FullCount UserTime SysTime RealTime BeforeSize AfterSize TotalSize ## 1 0 0.11 0.04 0.02 8192 1400 9437184 ## 2 0 0.05 0.01 0.02 5496 1672 9437184 ## 3 0 0.04 0.01 0.01 5768 2557 9437184 ## 4 0 0.21 0.05 0.04 22528 4907 9437184 ## 5 0 0.08 0.01 0.02 24576 7072 9437184 ## 6 0 0.26 0.06 0.04 43008 14336 9437184 Basic Statistics Once the data has been read into R, simple statistics are very easy to generate. All of the numbers from high school statistics are available via simple commands. For example, generate a summary of every column: summary(g1gc.df) ## row.names SecondsSinceLaunch IncrementalCount FullCount ## Length:8307 Min. : 1 Min. : 0 Min. : 0.0 ## Class :character 1st Qu.: 9977 1st Qu.:2048 1st Qu.: 0.0 ## Mode :character Median :12855 Median :4136 Median : 12.0 ## Mean :12527 Mean :4156 Mean : 31.6 ## 3rd Qu.:15758 3rd Qu.:6262 3rd Qu.: 61.0 ## Max. :55484 Max. :8391 Max. :113.0 ## UserTime SysTime RealTime BeforeSize ## Min. :0.040 Min. :0.0000 Min. : 0.0 Min. : 5476 ## 1st Qu.:0.470 1st Qu.:0.0300 1st Qu.: 0.1 1st Qu.:5137920 ## Median :0.620 Median :0.0300 Median : 0.1 Median :6574080 ## Mean :0.751 Mean :0.0355 Mean : 0.3 Mean :5841855 ## 3rd Qu.:0.920 3rd Qu.:0.0400 3rd Qu.: 0.2 3rd Qu.:7084032 ## Max. :3.370 Max. :1.5600 Max. :488.1 Max. :8696832 ## AfterSize TotalSize ## Min. : 1380 Min. :9437184 ## 1st Qu.:5002752 1st Qu.:9437184 ## Median :6559744 Median :9437184 ## Mean :5785454 Mean :9437184 ## 3rd Qu.:7054336 3rd Qu.:9437184 ## Max. :8482816 Max. :9437184 Q: What is the total amount of User CPU time spent in garbage collection? sum(g1gc.df$UserTime) ## [1] 6236 As you can see, less than two hours of CPU time was spent in garbage collection. Is that too much? To find the percentage of time spent in garbage collection, divide the number above by total_elapsed_time*CPU_count. In this case, there are a lot of CPU’s and it turns out the the overall amount of CPU time spent in garbage collection isn’t a problem when viewed in isolation. When calculating rates, i.e. events per unit time, you need to ask yourself if the rate is homogenous across the time period in the log file. Does the log file include spikes of high activity that should be separately analyzed? Averaging in data from nights and weekends with data from business hours may alias problems. If you have a reason to suspect that the garbage collection rates include peaks and valleys that need independent analysis, see the “Time Series” section, below. Q: How much garbage is collected on each pass? The amount of heap space that is recovered per GC pass is surprisingly low: At least one collection didn’t recover any data. (“Min.=0”) 25% of the passes recovered 3MB or less. (“1st Qu.=3072”) Half of the GC passes recovered 4MB or less. (“Median=4096”) The average amount recovered was 56MB. (“Mean=56390”) 75% of the passes recovered 36MB or less. (“3rd Qu.=36860”) At least one pass recovered 2GB. (“Max.=2121000”) g1gc.df$Delta = g1gc.df$BeforeSize - g1gc.df$AfterSize summary(g1gc.df$Delta) ## Min. 1st Qu. Median Mean 3rd Qu. Max. ## 0 3070 4100 56400 36900 2120000 Q: What is the maximum User CPU time for a single collection? The worst garbage collection (“Max.”) is many standard deviations away from the mean. The data appears to be right skewed. summary(g1gc.df$UserTime) ## Min. 1st Qu. Median Mean 3rd Qu. Max. ## 0.040 0.470 0.620 0.751 0.920 3.370 sd(g1gc.df$UserTime) ## [1] 0.3966 Basic Graphics Once the data is in R, it is trivial to plot the data with formats including dot plots, line charts, bar charts (simple, stacked, grouped), pie charts, boxplots, scatter plots histograms, and kernel density plots. Histogram of User CPU Time per Collection I don't think that this graph requires any explanation. hist(g1gc.df$UserTime, main="User CPU Time per Collection", xlab="Seconds", ylab="Frequency") Box plot to identify outliers When the initial data is viewed with a box plot, you can see the one crazy outlier in the real time per GC. Save this data point for future analysis and drop the outlier so that it’s not throwing off our statistics. Now the box plot shows many outliers, which will be examined later, using times series analysis. Notice that the scale of the x-axis changes drastically once the crazy outlier is removed. par(mfrow=c(2,1)) boxplot(g1gc.df$UserTime,g1gc.df$SysTime,g1gc.df$RealTime, main="Box Plot of Time per GC\n(dominated by a crazy outlier)", names=c("usr","sys","elapsed"), xlab="Seconds per GC", ylab="Time (Seconds)", horizontal = TRUE, outcol="red") crazy.outlier.df=g1gc.df[g1gc.df$RealTime > 400,] g1gc.df=g1gc.df[g1gc.df$RealTime < 400,] boxplot(g1gc.df$UserTime,g1gc.df$SysTime,g1gc.df$RealTime, main="Box Plot of Time per GC\n(crazy outlier excluded)", names=c("usr","sys","elapsed"), xlab="Seconds per GC", ylab="Time (Seconds)", horizontal = TRUE, outcol="red") box(which = "outer", lty = "solid") Here is the crazy outlier for future analysis: crazy.outlier.df ## row.names SecondsSinceLaunch IncrementalCount ## 8233 2014-05-12T23:15:43.903-0700: 20741 8316 ## FullCount UserTime SysTime RealTime BeforeSize AfterSize TotalSize ## 8233 112 0.55 0.42 488.1 8381440 8235008 9437184 ## Delta ## 8233 146432 R Time Series Data To analyze the garbage collection as a time series, I’ll use Z’s Ordered Observations (zoo). “zoo is the creator for an S3 class of indexed totally ordered observations which includes irregular time series.” require(zoo) ## Loading required package: zoo ## ## Attaching package: 'zoo' ## ## The following objects are masked from 'package:base': ## ## as.Date, as.Date.numeric head(g1gc.df[,1]) ## [1] "2014-05-12T14:00:32.868-0700:" "2014-05-12T14:00:33.179-0700:" ## [3] "2014-05-12T14:00:33.677-0700:" "2014-05-12T14:00:35.538-0700:" ## [5] "2014-05-12T14:00:37.811-0700:" "2014-05-12T14:00:41.428-0700:" options("digits.secs"=3) times=as.POSIXct( g1gc.df[,1], format="%Y-%m-%dT%H:%M:%OS%z:") g1gc.z = zoo(g1gc.df[,-c(1)], order.by=times) head(g1gc.z) ## SecondsSinceLaunch IncrementalCount FullCount ## 2014-05-12 17:00:32.868 1.161 0 0 ## 2014-05-12 17:00:33.178 1.472 1 0 ## 2014-05-12 17:00:33.677 1.969 2 0 ## 2014-05-12 17:00:35.538 3.830 3 0 ## 2014-05-12 17:00:37.811 6.103 4 0 ## 2014-05-12 17:00:41.427 9.720 5 0 ## UserTime SysTime RealTime BeforeSize AfterSize ## 2014-05-12 17:00:32.868 0.11 0.04 0.02 8192 1400 ## 2014-05-12 17:00:33.178 0.05 0.01 0.02 5496 1672 ## 2014-05-12 17:00:33.677 0.04 0.01 0.01 5768 2557 ## 2014-05-12 17:00:35.538 0.21 0.05 0.04 22528 4907 ## 2014-05-12 17:00:37.811 0.08 0.01 0.02 24576 7072 ## 2014-05-12 17:00:41.427 0.26 0.06 0.04 43008 14336 ## TotalSize Delta ## 2014-05-12 17:00:32.868 9437184 6792 ## 2014-05-12 17:00:33.178 9437184 3824 ## 2014-05-12 17:00:33.677 9437184 3211 ## 2014-05-12 17:00:35.538 9437184 17621 ## 2014-05-12 17:00:37.811 9437184 17504 ## 2014-05-12 17:00:41.427 9437184 28672 Example of Two Benchmark Runs in One Log File The data in the following graph is from a different log file, not the one of primary interest to this article. I’m including this image because it is an example of idle periods followed by busy periods. It would be uninteresting to average the rate of garbage collection over the entire log file period. More interesting would be the rate of garbage collect in the two busy periods. Are they the same or different? Your production data may be similar, for example, bursts when employees return from lunch and idle times on weekend evenings, etc. Once the data is in an R Time Series, you can analyze isolated time windows. Clipping the Time Series data Flashing back to our test case… Viewing the data as a time series is interesting. You can see that the work intensive time period is between 9:00 PM and 3:00 AM. Lets clip the data to the interesting period:     par(mfrow=c(2,1)) plot(g1gc.z$UserTime, type="h", main="User Time per GC\nTime: Complete Log File", xlab="Time of Day", ylab="CPU Seconds per GC", col="#1b9e77") clipped.g1gc.z=window(g1gc.z, start=as.POSIXct("2014-05-12 21:00:00"), end=as.POSIXct("2014-05-13 03:00:00")) plot(clipped.g1gc.z$UserTime, type="h", main="User Time per GC\nTime: Limited to Benchmark Execution", xlab="Time of Day", ylab="CPU Seconds per GC", col="#1b9e77") box(which = "outer", lty = "solid") Cumulative Incremental and Full GC count Here is the cumulative incremental and full GC count. When the line is very steep, it indicates that the GCs are repeating very quickly. Notice that the scale on the Y axis is different for full vs. incremental. plot(clipped.g1gc.z[,c(2:3)], main="Cumulative Incremental and Full GC count", xlab="Time of Day", col="#1b9e77") GC Analysis of Benchmark Execution using Time Series data In the following series of 3 graphs: The “After Size” show the amount of heap space in use after each garbage collection. Many Java objects are still referenced, i.e. alive, during each garbage collection. This may indicate that the application has a memory leak, or may indicate that the application has a very large memory footprint. Typically, an application's memory footprint plateau's in the early stage of execution. One would expect this graph to have a flat top. The steep decline in the heap space may indicate that the application crashed after 2:00. The second graph shows that the outliers in real execution time, discussed above, occur near 2:00. when the Java heap seems to be quite full. The third graph shows that Full GCs are infrequent during the first few hours of execution. The rate of Full GC's, (the slope of the cummulative Full GC line), changes near midnight.   plot(clipped.g1gc.z[,c("AfterSize","RealTime","FullCount")], xlab="Time of Day", col=c("#1b9e77","red","#1b9e77")) GC Analysis of heap recovered Each GC trace includes the amount of heap space in use before and after the individual GC event. During garbage coolection, unreferenced objects are identified, the space holding the unreferenced objects is freed, and thus, the difference in before and after usage indicates how much space has been freed. The following box plot and bar chart both demonstrate the same point - the amount of heap space freed per garbage colloection is surprisingly low. par(mfrow=c(2,1)) boxplot(as.vector(clipped.g1gc.z$Delta), main="Amount of Heap Recovered per GC Pass", xlab="Size in KB", horizontal = TRUE, col="red") hist(as.vector(clipped.g1gc.z$Delta), main="Amount of Heap Recovered per GC Pass", xlab="Size in KB", breaks=100, col="red") box(which = "outer", lty = "solid") This graph is the most interesting. The dark blue area shows how much heap is occupied by referenced Java objects. This represents memory that holds live data. The red fringe at the top shows how much data was recovered after each garbage collection. barplot(clipped.g1gc.z[,c("AfterSize","Delta")], col=c("#7570b3","#e7298a"), xlab="Time of Day", border=NA) legend("topleft", c("Live Objects","Heap Recovered on GC"), fill=c("#7570b3","#e7298a")) box(which = "outer", lty = "solid") When I discuss the data in the log files with the customer, I will ask for an explaination for the large amount of referenced data resident in the Java heap. There are two are posibilities: There is a memory leak and the amount of space required to hold referenced objects will continue to grow, limited only by the maximum heap size. After the maximum heap size is reached, the JVM will throw an “Out of Memory” exception every time that the application tries to allocate a new object. If this is the case, the aplication needs to be debugged to identify why old objects are referenced when they are no longer needed. The application has a legitimate requirement to keep a large amount of data in memory. The customer may want to further increase the maximum heap size. Another possible solution would be to partition the application across multiple cluster nodes, where each node has responsibility for managing a unique subset of the data. Conclusion In conclusion, R is a very powerful tool for the analysis of Java garbage collection log files. The primary difficulty is data cleansing so that information can be read into an R data frame. Once the data has been read into R, a rich set of tools may be used for thorough evaluation.

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  • JavaOne Latin America 2012 is a wrap!

    - by arungupta
    Third JavaOne in Latin America (2010, 2011) is now a wrap! Like last year, the event started with a Geek Bike Ride. I could not attend the bike ride because of pre-planned activities but heard lots of good comments about it afterwards. This is a great way to engage with JavaOne attendees in an informal setting. I highly recommend you joining next time! JavaOne Blog provides a a great coverage for the opening keynotes. I talked about all the great set of functionality that is coming in the Java EE 7 Platform. Also shared the details on how Java EE 7 JSRs are willing to take help from the Adopt-a-JSR program. glassfish.org/adoptajsr bridges the gap between JUGs willing to participate and looking for areas on where to help. The different specification leads have identified areas on where they are looking for feedback. So if you are JUG is interested in picking a JSR, I recommend to take a look at glassfish.org/adoptajsr and jump on the bandwagon. The main attraction for the Tuesday evening was the GlassFish Party. The party was packed with Latin American JUG leaders, execs from Oracle, and local community members. Free flowing food and beer/caipirinhas acted as great lubricant for great conversations. Some of them were considering the migration from Spring -> Java EE 6 and replacing their primary app server with GlassFish. Locaweb, a local hosting provider sponsored a round of beer at the party as well. They are planning to come with Java EE hosting next year and GlassFish would be a logical choice for them ;) I heard lots of positive feedback about the party afterwards. Many thanks to Bruno Borges for organizing a great party! Check out some more fun pictures of the party! Next day, I gave a presentation on "The Java EE 7 Platform: Productivity and HTML 5" and the slides are now available: With so much new content coming in the plaform: Java Caching API (JSR 107) Concurrency Utilities for Java EE (JSR 236) Batch Applications for the Java Platform (JSR 352) Java API for JSON (JSR 353) Java API for WebSocket (JSR 356) And JAX-RS 2.0 (JSR 339) and JMS 2.0 (JSR 343) getting major updates, there is definitely lot of excitement that was evident amongst the attendees. The talk was delivered in the biggest hall and had about 200 attendees. Also spent a lot of time talking to folks at the OTN Lounge. The JUG leaders appreciation dinner in the evening had its usual share of fun. Day 3 started with a session on "Building HTML5 WebSocket Apps in Java". The slides are now available: The room was packed with about 150 attendees and there was good interaction in the room as well. A collaborative whiteboard built using WebSocket was very well received. The following tweets made it more worthwhile: A WebSocket speek, by @ArunGupta, was worth every hour lost in transit. #JavaOneBrasil2012, #JavaOneBr @arungupta awesome presentation about WebSockets :) The session was immediately followed by the hands-on lab "Developing JAX-RS Web Applications Utilizing Server-Sent Events and WebSocket". The lab covers JAX-RS 2.0, Jersey-specific features such as Server-Sent Events, and a WebSocket endpoint using JSR 356. The complete self-paced lab guide can be downloaded from here. The lab was planned for 2 hours but several folks finished the entire exercise in about 75 mins. The wonderfully written lab material and an added incentive of Java EE 6 Pocket Guide did the trick ;-) I also spoke at "The Java Community Process: How You Can Make a Positive Difference". It was really great to see several JUG leaders talking about Adopt-a-JSR program and other activities that attendees can do to participate in the JCP. I shared details about Adopt a Java EE 7 JSR as well. The community keynote in the evening was looking fun but I had to leave in between to go through the peak Sao Paulo traffic time :) Enjoy the complete set of pictures in the album:

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  • Text Expansion Awareness for UX Designers: Points to Consider

    - by ultan o'broin
    Awareness of translated text expansion dynamics is important for enterprise applications UX designers (I am assuming all source text for translation is in English, though apps development can takes place in other natural languages too). This consideration goes beyond the standard 'character multiplication' rule and must take into account the avoidance of other layout tricks that a designer might be tempted to try. Follow these guidelines. For general text expansion, remember the simple rule that the shorter the word is in the English, the longer it will need to be in English. See the examples provided by Richard Ishida of the W3C and you'll get the idea. So, forget the 30 percent or one inch minimum expansion rule of the old Forms days. Unfortunately remembering convoluted text expansion rules, based as a percentage of the US English character count can be tough going. Try these: Up to 10 characters: 100 to 200% 11 to 20 characters: 80 to 100% 21 to 30 characters: 60 to 80% 31 to 50 characters: 40 to 60% 51 to 70 characters: 31 to 40% Over 70 characters: 30% (Source: IBM) So it might be easier to remember a rule that if your English text is less than 20 characters then allow it to double in length (200 percent), and then after that assume an increase by half the length of the text (50%). (Bear in mind that ADF can apply truncation rules on some components in English too). (If your text is stored in a database, developers must make sure the table column widths can accommodate the expansion of your text when translated based on byte size for the translated character and not numbers of characters. Use Unicode. One character does not equal one byte in the multilingual enterprise apps world.) Rely on a graceful transformation of translated text. Let all pages to resize dynamically so the text wraps and flow naturally. ADF pages supports this already. Think websites. Don't hard-code alignments. Use Start and End properties on components and not Left or Right. Don't force alignments of components on the page by using texts of a certain length as spacers. Use proper label positioning and anchoring in ADF components or other technologies. Remember that an increase in text length means an increase in vertical space too when pages are resized. So don't hard-code vertical heights for any text areas. Don't be tempted to manually create text or printed reports this way either. They cannot be translated successfully, and are very difficult to maintain in English. Use XML, HTML, RTF and so on. Check out what Oracle BI Publisher offers. Don't force wrapping by using tricks such as /n or /t characters or HTML BR tags or forced page breaks. Once the text is translated the alignment will be destroyed. The position of the breaking character or tag would need to be moved anyway, or even removed. When creating tables, then use table components. Don't use manually created tables that reply on word length to maintain column and row alignment. For example, don't use codeblock elements in HTML; use the proper table elements instead. Once translated, the alignment of manually formatted tabular data is destroyed. Finally, if there is a space restriction, then don't use made-up acronyms, abbreviations or some form of daft text speak to save space. Besides being incomprehensible in English, they may need full translations of the shortened words, even if they can be figured out. Use approved or industry standard acronyms according to the UX style rules, not as a space-saving device. Restricted Real Estate on Mobile Devices On mobile devices real estate is limited. Using shortened text is fine once it is comprehensible. Users in the mobile space prefer brevity too, as they are on the go, performing three-minute tasks, with no time to read lengthy texts. Using fragments and lightning up on unnecessary articles and getting straight to the point with imperative forms of verbs makes sense both on real estate and user experience grounds.

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  • Framework 4 Features: Support for Timed Jobs

    - by Anthony Shorten
    One of the new features of the Oracle Utilities Application Framework V4 is the ability for the batch framework to support Timed Batch. Traditionally batch is associated with set processing in the background in a fixed time frame. For example, billing customers. Over the last few versions their has been functionality required by the products required a more monitoring style batch process. The monitor is a batch process that looks for specific business events based upon record status or other pieces of data. For example, the framework contains a fact monitor (F1-FCTRN) that can be configured to look for specific status's or other conditions. The batch process then uses the instructions on the object to determine what to do. To support monitor style processing, you need to run the process regularly a number of times a day (for example, every ten minutes). Traditional batch could support this but it was not as optimal as expected (if you are a site using the old Workflow subsystem, you understand what I mean). The Batch framework was extended to add additional facilities to support times (and continuous batch which is another new feature for another blog entry). The new facilities include: The batch control now defines the job as Timed or Not Timed. Non-Timed batch are traditional batch jobs. The timer interval (the interval between executions) can be specified The timer can be made active or inactive. Only active timers are executed. Setting the Timer Active to inactive will stop the job at the next time interval. Setting the Timer Active to Active will start the execution of the timed job. You can specify the credentials, language to view the messages and an email address to send the a summary of the execution to. The email address is optional and requires an email server to be specified in the relevant feature configuration. You can specify the thread limits and commit intervals to be sued for the multiple executions. Once a timer job is defined it will be executed automatically by the Business Application Server process if the DEFAULT threadpool is active. This threadpool can be started using the online batch daemon (for non-production) or externally using the threadpoolworker utility. At that time any batch process with the Timer Active set to Active and Batch Control Type of Timed will begin executing. As Timed jobs are executed automatically then they do not appear in any external schedule or are managed by an external scheduler (except via the DEFAULT threadpool itself of course). Now, if the job has no work to do as the timer interval is being reached then that instance of the job is stopped and the next instance started at the timer interval. If there is still work to complete when the interval interval is reached, the instance will continue processing till the work is complete, then the instance will be stopped and the next instance scheduled for the next timer interval. One of the key ways of optimizing this processing is to set the timer interval correctly for the expected workload. This is an interesting new feature of the batch framework and we anticipate it will come in handy for specific business situations with the monitor processes.

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  • How To Clear An Alert - Part 2

    - by werner.de.gruyter
    There were some interesting comments and remarks on the original posting, so I decided to do a follow-up and address some of the issues that got raised... Handling Metric Errors First of all, there is a significant difference between an 'error' and an 'alert'. An 'alert' is the violation of a condition (a threshold) specified for a given metric. That means that the Agent is collecting and gathering the data for the metric, but there is a situation that requires the attention of an administrator. An 'error' on the other hand however, is a failure to collect metric data: The Agent is throwing the error because it cannot determine the value for the metric Whereas the 'alert' guarantees continuity of the metric data, an 'error' signals a big unknown. And the unknown aspect of all this is what makes an error a lot more serious than a regular alert: If you don't know what the current state of affairs is, there could be some serious issues brewing that nobody is aware of... The life-cycle of a Metric Error Clearing a metric error is pretty much the same workflow as a metric 'alert': The Agent signals the error after it failed to execute the metric The error is uploaded to the OMS/repository, where it becomes visible in the Console The error will remain active until the Agent is able to execute the metric successfully. Even though the metric is still getting scheduled and executed on a regular basis, the error will remain outstanding as long as the Agent is not capable of executing the metric correctly Knowing this, the way to fix the metric error should be obvious: Take the 'problem' away, and as soon as the metric is executed again (based on the frequency of the metric), the error will go away. The same tricks used to clear alerts can be used here too: Wait for the next scheduled execution. For those metrics that are executed regularly (like every 15 minutes or so), it's just a matter of waiting those minutes to see the updates. The 'Reevaluate Alert' button can be used to force a re-execution of the metric. In case a metric is executed once a day, this will be a better way to make sure that the underlying problem has been solved. And if it has been, the metric error will be removed, and the regular data points will be uploaded to the repository. And just in case you have to 'force' the issue a little: If you disable and re-enable a metric, it will get re-scheduled. And that means a new metric execution, and an update of the (hopefully) fixed problem. Database server-generated alerts and problem checkers There are various ways the Agent can collect metric data: Via a script or a SQL statement, reading a log file, getting a value from an SNMP OID or listening for SNMP traps or via the DBMS_SERVER_ALERTS mechanism of an Oracle database. For those alert which are generated by the database (like tablespace metrics for 10g and above databases), the Agent just 'waits' for the database to report any new findings. If the Agent has lost the current state of the server-side metrics (due to an incomplete recovery after a disaster, or after an improper use of the 'emctl clearstate' command), the Agent might be still aware of an alert that the database no longer has (or vice versa). The same goes for 'problem checker' alerts: Those metrics that only report data if there is a problem (like the 'invalid objects' metric) will also have a problem if the Agent state has been tampered with (again, the incomplete recovery, and after improper use of 'emctl clearstate' are the two main causes for this). The best way to deal with these kinds of mismatches, is to simple disable and re-enable the metric again: The disabling will clear the state of the metric, and the re-enabling will force a re-execution of the metric, so the new and updated results can get uploaded to the repository. Starting 10gR5, the Agent performs additional checks and verifications after each restart of the Agent and/or each state change of the database (shutdown/startup or failover in case of DataGuard) to catch these kinds of mismatches.

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  • Tuxedo 11gR1 Client Server Affinity

    - by todd.little
    One of the major new features in Oracle Tuxedo 11gR1 is the ability to define an affinity between clients and servers. In previous releases of Tuxedo, the only way to ensure that multiple requests from a client went to the same server was to establish a conversation with tpconnect() and then use tpsend() and tprecv(). Although this works it has some drawbacks. First for single-threaded servers, the server is tied up for the entire duration of the conversation and cannot service other clients, an obvious scalability issue. I believe the more significant drawback is that the application programmer has to switch from the simple request/response model provided by tpcall() to the half duplex tpsend() and tprecv() calls used with conversations. Switching between the two typically requires a fair amount of redesign and recoding. The Client Server Affinity feature in Tuxedo 11gR1 allows by way of configuration an application to define affinities that can exist between clients and servers. This is done in the *SERVICES section of the UBBCONFIG file. Using new parameters for services defined in the *SERVICES section, customers can determine when an affinity session is created or deleted, the scope of the affinity, and whether requests can be routed outside the affinity scope. The AFFINITYSCOPE parameter can be MACHINE, GROUP, or SERVER, meaning that while the affinity session is in place, all requests from the client will be routed to the same MACHINE, GROUP, or SERVER. The creation and deletion of affinity is defined by the SESSIONROLE parameter and a service can be defined as either BEGIN, END, or NONE, where BEGIN starts an affinity session, END deletes the affinity session, and NONE does not impact the affinity session. Finally customers can define how strictly they want the affinity scope adhered to using the AFFINITYSTRICT parameter. If set to MANDATORY, all requests made during an affinity session will be routed to a server in the affinity scope. Thus if the affinity scope is SERVER, all subsequent tpcall() requests will be sent to the same server the affinity scope was established with. If the server doesn't offer that service, even though other servers do offer the service, the call will fail with TPNOENT. Setting AFFINITYSTRICT to PRECEDENT tells Tuxedo to try and route the request to a server in the affinity scope, but if that's not possible, then Tuxedo can try to route the request to servers out of scope. All of this begs the question, why? Why have this feature? There many uses for this capability, but the most common is when there is state that is maintained in a server, group of servers, or in a machine and subsequent requests from a client must be routed to where that state is maintained. This might be something as simple as a database cursor maintained by a server on behalf of a client. Alternatively it might be that the server has a connection to an external system and subsequent requests need to go back to the server that has that connection. A more sophisticated case is where a group of servers maintains some sort of cache in shared memory and subsequent requests need to be routed to where the cache is maintained. Although this last case might be able to be handled by data dependent routing, using client server affinity allows the cache to be partitioned dynamically instead of statically.

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  • Running ODI 11gR1 Standalone Agent as a Windows Service

    - by fx.nicolas
    ODI 11gR1 introduces the capability to use OPMN to start and protect agent processes as services. Setting up the OPMN agent is covered in the following post and extensively in the ODI Installation Guide. Unfortunately, OPMN is not installed along with ODI, and ODI 10g users who are really at ease with the old Java Wrapper are a little bit puzzled by OPMN, and ask: "How can I simply set up the agent as a service?". Well... although the Tanuki Service Wrapper is no longer available for free, and the agentservice.bat script lost, you can switch to another service wrapper for the same result. For example, Yet Another Java Service Wrapper (YAJSW) is a good candidate. To configure a standalone agent with YAJSW: download YAJSW Uncompress the zip to a folder (called %YAJSW% in this example) Configure, start and test your standalone agent. Make sure that this agent is loaded with all the required libraries and drivers, as the service will not load dynamically the drivers added subsequently in the /drivers directory. Retrieve the PID of the agent process: Open Task Manager. Select View Select Columns Select the PID (Process Identifier) column, then click OK In the list of processes, find the java.exe process corresponding to your agent, and note its PID. Open a command line prompt in %YAJSW%/bat and run: genConfig.bat <your_pid> This command generates a wrapper configuration file for the agent. This file is called %YAJSW%/conf/wrapper.conf. Stop your agent. Edit the wrapper.conf file and modify the configuration of your service. For example, modify the display name and description of the service as shown in the example below. Important: Make sure to escape the commas in the ODI encoded passwords with a backslash! In the example below, the ODI_SUPERVISOR_ENCODED_PASS contained a comma character which had to be prefixed with a backslash. # Title to use when running as a console wrapper.console.title=\"AGENT\" #******************************************************************** # Wrapper Windows Service and Posix Daemon Properties #******************************************************************** # Name of the service wrapper.ntservice.name=AGENT_113 # Display name of the service wrapper.ntservice.displayname=ODI Agent # Description of the service wrapper.ntservice.description=Oracle Data Integrator Agent 11gR3 (11.1.1.3.0) ... # Escape the comma in the password with a backslash. wrapper.app.parameter.7 = -ODI_SUPERVISOR_ENCODED_PASS=fJya.vR5kvNcu9TtV\,jVZEt Execute your wrapped agent as console by calling in the command line prompt: runConsole.bat Check that your agent is running, and test it again.This command starts the agent with the configuration but does not install it yet as a service. To Install the agent as service call installService.bat From that point, you can view, start and stop the agent via the windows services. Et voilà ! Two final notes: - To modify the agent configuration, you must uninstall/reinstall the service. For this purpose, run the uninstallService.bat to uninstall it and play again the process above. - To be able to uninstall the agent service, you should keep a backup of the wrapper.conf file. This is particularly important when starting several services with the wrapper.

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  • Talking JavaOne with Rock Star Simon Ritter

    - by Janice J. Heiss
    Oracle’s Java Technology Evangelist Simon Ritter is well known at JavaOne for his quirky and fun-loving sessions, which, this year include: CON4644 -- “JavaFX Extreme GUI Makeover” (with Angela Caicedo on how to improve UIs in JavaFX) CON5352 -- “Building JavaFX Interfaces for the Real World” (Kinect gesture tracking and mind reading) CON5348 -- “Do You Like Coffee with Your Dessert?” (Some cool demos of Java of the Raspberry Pi) CON6375 -- “Custom JavaFX Charts: (How to extend JavaFX Chart controls with some interesting things) I recently asked Ritter about the significance of the Raspberry Pi, the topic of one of his sessions that consists of a credit card-sized single-board computer developed in the UK with the intention of stimulating the teaching of basic computer science in schools. “I don't think there's one definitive thing that makes the RP significant,” observed Ritter, “but a combination of things that really makes it stand out. First, it's the cost: $35 for what is effectively a completely usable computer. OK, so you have to add a power supply, SD card for storage and maybe a screen, keyboard and mouse, but this is still way cheaper than a typical PC. The choice of an ARM processor is also significant, as it avoids problems like cooling (no heat sink or fan) and can use a USB power brick.  Combine these two things with the immense groundswell of community support and it provides a fantastic platform for teaching young and old alike about computing, which is the real goal of the project.”He informed me that he’ll be at the Raspberry Pi meetup on Saturday (not part of JavaOne). Check out the details here.JavaFX InterfacesWhen I asked about how JavaFX can interface with the real world, he said that there are many ways. “JavaFX provides you with a simple set of programming interfaces that can create complex, cool and compelling user interfaces,” explained Ritter. “Because it's just Java code you can combine JavaFX with any other Java library to provide data to display and control the interface. What I've done for my session is look at some of the possible ways of doing this using some of the amazing hardware that's available today at very low cost. The Kinect sensor has added a new dimension to gaming in terms of interaction; there's a Java API to access this so you can easily collect skeleton tracking data from it. Some clever people have also written libraries that can track gestures like swipes, circles, pushes, and so on. We use these to control parts of the UI. I've also experimented with a Neurosky EEG sensor that can in some ways ‘read your mind’ (well, at least measure some of the brain functions like attention and meditation).  I've written a Java library for this that I include as a way of controlling the UI. We're not quite at the stage of just thinking a command though!” Here Comes Java EmbeddedAnd what, from Ritter’s perspective, is the most exciting thing happening in the world of Java today? “I think it's seeing just how Java continues to become more and more pervasive,” he said. “One of the areas that is growing rapidly is embedded systems.  We've talked about the ‘Internet of things’ for many years; now it's finally becoming a reality. With the ability of more and more devices to include processing, storage and networking we need an easy way to write code for them that's reliable, has high performance, and is secure. Java fits all these requirements. With Java Embedded being a conference within a conference, I'm very excited about the possibilities of Java in this space.”Check out Ritter’s sessions or say hi if you run into him.

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  • How to prepare for an interview presentation!

    - by Tim Koekkoek
    During an interview process you might be asked to prepare a presentation as one of the steps in the recruitment process. Below, we want to give you some tips to help you prepare for what might be considered a daunting aspect of a recruitment process. Main purpose of the presentation Always keep in mind the main purpose of what the presentation is meant to convey. Generally speaking, an interview presentation is for the company to check if you have the ability to represent and sell the organization (and yourself), to the internal and external stakeholders in the position you are applying for. A presentation is often also part of the recruitment process to check whether you can structure and explain your experience and thoughts in a convincing manner. If you are unsure about the purpose of the presentation, feel free to ask your recruiter for more information. Preparation As with every task you do, preparation is key, so is the case with an interview presentation. It is important to know who your audience is. You have to adapt your presentation to your audience, ensuring that you are presenting the facts which they would want to hear. Furthermore, make sure you practice your presentation beforehand; this will make you more confident in your presenting skills. Also, estimate the length of your presentation as presentations or pitches during the recruitment process are often capped to a certain time limit. Structure Every presentation should have a beginning, middle and an end. Make sure you give an overview of your presentation and tell the audience what they can expect. Your presentation should have a logical order and a clear message. Always build up to your key message with strong arguments and evidence. When speaking about the topic, make sure you convey your points with conviction. Also be sure you believe the message you bring forward, if you don’t believe it yourself, then the audience definitely won’t! Delivery When you think back on successful presentations you have seen, the presenter was most likely always standing up. So if asked to do a presentation, follow this example and make sure you stand up as well. Standing up when you are doing your presentation shows confidence and control. Another important aspect in the delivery of the presentation is to relax and speak slowly and with enough volume for the audience to hear you. Speaking slowly allows the audience the time to absorb the information you are providing to them. Visual Using PowerPoint, or an equivalent, makes it very easy to have a visually attractive presentation. Make sure however that you take into account that the visual aids you use are there to support you, not for you to read word for word what is on the slides! Questions When starting your presentation, it is a good idea to tell your audience that you will deal with any questions they might have at the end of the presentation. This way it doesn’t interrupt your train of thought and the flow of your presentation. Answering questions at the end may give you additional opportunities to further expand on your facts in the topic. Some people might play the “devil’s advocate” role and confront you with opposing opinions, if this is the case, take your time to reiterate your points and remain professional in your response. A good way to deal with this is to start interacting with other members of the audience and ask for their opinions, so it will become a group discussion. This will also shows strong leadership skills, as you are open to discuss and ask for other opinions. If you are interested in more tips and tricks for your interview process, have a look at Competency Based Interview Tips and How to prepare for a Telephone Interview. For more information about Oracle and our vacancies, please visit our Facebook community and our careers website.

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  • Failure Sucks, But Does It Have To?

    - by steve.diamond
    Hey Folks--It's "elephant in the room" time. Imagine a representative from a CRM VENDOR discussing CRM FAILURES. Well. I recently saw this blog post from Michael Krigsman on "six ways CRM projects go wrong." Now, I know this may come off defensive, but my comments apply to ALL CRM vendors, not just Oracle. As I perused the list, I couldn't find any failures related to technology. They all seemed related to people or process. Now, this isn't about finger pointing, or impugning customers. I love customers! And when they fail, WE fail. Although I sit in the cheap seats, i.e., I haven't funded any multi-million dollar CRM initiatives lately, I kept wondering how to convert the perception of failure as something that ends and is never to be mentioned again (see Michael's reason #4), to something that one learns from and builds upon. So to continue my tradition of speaking in platitudes, let me propose the following three tenets: 1) Try and get ahead of your failures while they're very very small. 2) Immediately assess what you can learn from those failures. 3) With more than 15 years of CRM deployments, seek out those vendors that have a track record both in learning from "misses" and in supporting MANY THOUSANDS of CRM successes at companies of all types and sizes. Now let me digress briefly with an unpleasant (for me, anyway) analogy. I really don't like flying. Call it 'fear of dying' or 'fear of no control.' Whatever! I've spoken with quite a few commercial pilots over the years, and they reassure me that there are multiple failures on most every flight. We as passengers just don't know about them. Most of them are too miniscule to make a difference, and most of them are "caught" before they become LARGER failures. It's typically the mid-sized to colossal failures we hear about, and a significant percentage of those are due to human error. What's the point? I'd propose that organizations consider the topic of FAILURE in five grades. On one end, FAILURE Grade 1 is a minor/miniscule failure. On the other end, FAILURE Grade 5 is a colossal failure A Grade 1 CRM FAILURE could be that a particular interim milestone was missed. Why? What can we learn from that? How can we prevent that from happening as we proceed through the project? Individual organizations will need to define their own Grade 2 and Grade 3 failures. The opportunity is to keep those Grade 3 failures from escalating any further. Because honestly, a GRADE 5 failure may not be recoverable. It could result in a project being pulled, countless amounts of hours and dollars lost, and jobs lost. We don't want to go there. In closing, I want to thank Michael for opening my eyes up to the world of "color," versus thinking of failure as both "black and white" and a dead end road that organizations can't learn from and avoid discussing like the plague.

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  • OBIEE 11.1.1 - How to Enable Caching in Internet Information Services (IIS) 7.0+

    - by Ahmed A
    Follow these steps to configure static file caching and content expiration if you are using IIS 7.0 Web Server with Oracle Business Intelligence. Tip: Install IIS URL Rewrite that enables Web administrators to create powerful outbound rules. Following are the steps to set up static file caching for IIS 7.0+ Web Server: 1. In “web.config” file for OBIEE static files virtual directory (ORACLE_HOME/bifoundation/web/app) add the following highlight in bold the outbound rule for caching:<?xml version="1.0" encoding="UTF-8"?><configuration>    <system.webServer>        <urlCompression doDynamicCompression="true" />        <rewrite>            <outboundRules>                <rule name="header1" preCondition="FilesMatch" patternSyntax="Wildcard">                    <match serverVariable="RESPONSE_CACHE_CONTROL" pattern="*" />                    <action type="Rewrite" value="max-age=604800" />                </rule>                <preConditions>    <preCondition name="FilesMatch">                        <add input="{RESPONSE_CONTENT_TYPE}" pattern="^text/css|^text/x-javascript|^text/javascript|^image/gif|^image/jpeg|^image/png" />                    </preCondition>                </preConditions>            </outboundRules>        </rewrite>    </system.webServer></configuration>2. Restart IIS. Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

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  • Creating and using VM Groups in VirtualBox

    - by Fat Bloke
    With VirtualBox 4.2 we introduced the Groups feature which allows you to organize and manage your guest virtual machines collectively, rather than individually. Groups are quite a powerful concept and there are a few nice features you may not have discovered yet, so here's a bit more information about groups, and how they can be used.... Creating a group Groups are just ad hoc collections of virtual machines and there are several ways of creating a group: In the VirtualBox Manager GUI: Drag one VM onto another to create a group of those 2 VMs. You can then drag and drop more VMs into that group; Select multiple VMs (using Ctrl or Shift and click) then  select the menu: Machine...Group; or   press Cmd+U (Mac), or Ctrl+U(Windows); or right-click the multiple selection and choose Group, like this: From the command line: Group membership is an attribute of the vm so you can modify the vm to belong in a group. For example, to put the vm "Ubuntu" into the group "TestGroup" run this command: VBoxManage modifyvm "Ubuntu" --groups "/TestGroup" Deleting a Group Groups can be deleted by removing a group attribute from all the VMs that constitute that group. To do this via the command-line the syntax is: VBoxManage modifyvm "Ubuntu" --groups "" In the VirtualBox Manager, this is more easily done by right-clicking on a group header and selecting "Ungroup", like this: Multiple Groups Now that we understand that Groups are just attributes of VMs, it can be seen that VMs can exist in multiple groups, for example, doing this: VBoxManage modifyvm "Ubuntu" --groups "/TestGroup","/ProjectX","/ProjectY" Results in: Or via the VirtualBox Manager, you can drag VMs while pressing the Alt key (Mac) or Ctrl (other platforms). Nested Groups Just like you can drag VMs around in the VirtualBox Manager, you can also drag whole groups around. And dropping a group within a group creates a nested group. Via the command-line, nested groups are specified using a path-like syntax, like this: VBoxManage modifyvm "Ubuntu" --groups "/TestGroup/Linux" ...which creates a sub-group and puts the VM in it. Navigating Groups In the VirtualBox Manager, Groups can be collapsed and expanded by clicking on the carat to the left in the Group Header. But you can also Enter and Leave groups too, either by using the right-arrow/left-arrow keys, or by clicking on the carat on the right hand side of the Group Header, like this: . ..leading to a view of just the Group contents. You can Leave or return to the parent in the same way. Don't worry if you are imprecise with your clicking, you can use a double click on the entire right half of the Group Header to Enter a group, and the left half to Leave a group. Double-clicking on the left half when you're at the top will roll-up or collapse the group.   Group Operations The real power of Groups is not simply in arranging them prettily in the Manager. Rather it is about performing collective operations on them, once you have grouped them appropriately. For example, let's say that you are working on a project (Project X) where you have a solution stack of: Database VM, Middleware/App VM, and  a couple of client VMs which you use to test your app. With VM Groups you can start the whole stack with one operation. Select the Group Header, and choose Start: The full list of operations that may be performed on Groups are: Start Starts from any state (boot or resume) Start VMs in headless mode (hold Shift while starting) Pause Reset Close Save state Send Shutdown signal Poweroff Discard saved state Show in filesystem Sort Conclusion Hopefully we've shown that the introduction of VM Groups not only makes Oracle VM VirtualBox pretty, but pretty powerful too.  - FB 

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  • jtreg update, March 2012

    - by jjg
    There is a new update for jtreg 4.1, b04, available. The primary changes have been to support faster and more reliable test runs, especially for tests in the jdk/ repository. [ For users inside Oracle, there is preliminary direct support for gathering code coverage data using jcov while running tests, and for generating a coverage report when all the tests have been run. ] -- jtreg can be downloaded from the OpenJDK jtreg page: http://openjdk.java.net/jtreg/. Scratch directories On platforms like Windows, if a test leaves a file open when the test is over, that can cause a problem for downstream tests, because the scratch directory cannot be emptied beforehand. This is addressed in agentvm mode by discarding any agents using that scratch directory and starting new agents using a new empty scratch directory. Successive directives use suffices _1, _2, etc. If you see such directories appearing in the work directory, that is an indication that files were left open in the preceding directory in the series. Locking support Some tests use shared system resources such as fixed port numbers. This causes a problem when running tests concurrently. So, you can now mark a directory such that all the tests within all such directories will be run sequentially, even if you use -concurrency:N on the command line to run the rest of the tests in parallel. This is seen as a short term solution: it is recommended that tests not use shared system resources whenever possible. If you are running multiple instances of jtreg on the same machine at the same time, you can use a new option -lock:file to specify a file to be used for file locking; otherwise, the locking will just be within the JVM used to run jtreg. "autovm mode" By default, if no options to the contrary are given on the command line, tests will be run in othervm mode. Now, a test suite can be marked so that the default execution mode is "agentvm" mode. In conjunction with this, you can now mark a directory such that all the tests within that directory will be run in "othervm" mode. Conceptually, this is equivalent to putting /othervm on every appropriate action on every test in that directory and any subdirectories. This is seen as a short term solution: it is recommended tests be adapted to use agentvm mode, or use "@run main/othervm" explicitly. Info in test result files The user name and jtreg version info are now stored in the properties near the beginning of the .jtr file. Build The makefiles used to build and test jtreg have been reorganized and simplified. jtreg is now using JT Harness version 4.4. Other jtreg provides access to GNOME_DESKTOP_SESSION_ID when set. jtreg ensures that shell tests are given an absolute path for the JDK under test. jtreg now honors the "first sentence rule" for the description given by @summary. jtreg saves the default locale before executing a test in samevm or agentvm mode, and restores it afterwards. Bug fixes jtreg tried to execute a test even if the compilation failed in agentvm mode because of a JVM crash. jtreg did not correctly handle the -compilejdk option. Acknowledgements Thanks to Alan, Amy, Andrey, Brad, Christine, Dima, Max, Mike, Sherman, Steve and others for their help, suggestions, bug reports and for testing this latest version.

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  • How do I deal with a third party application that has embedded hints that result in a sub-optimal execution plan in my environment?

    - by Maria Colgan
    I have gotten many variations on this question recently as folks begin to upgrade to Oracle Database 11g and there have been several posts on this blog and on others describing how to use SQL Plan Management (SPM) so that a non-hinted SQL statement can use a plan generated with hints. But what if the hint is supplied in the third party application and is causing performance regressions on your system? You can actually use a very similar technique to the ones shown before but this time capture the un-hinted plan and have the hinted SQL statement use that plan instead. Below is an example that demonstrates the necessary steps. 1. We will begin by running the hinted statement 2. After examining the execution plan we can see it is suboptimal because of a bad join order. 3. In order to use SPM to correct the problem we must create a SQL plan baseline for the statement. In order to create a baseline we will need the SQL_ID for the hinted statement. Easy place to get it is in V$SQL. 4. A SQL plan baseline can be created using a SQL_ID and DBMS_SPM.LOAD_PLANS_FROM_CURSOR_CACHE. This will capture the existing plan for this SQL_ID from the shared pool and store in the SQL plan baseline. 5. We can check the SQL plan baseline got created successfully by querying DBA_SQL_PLAN_BASELINES. 6. When you manually create a SQL plan baseline the first plan added is automatically accepted and enabled. We know that the hinted plan is poorly performing plan so we will disable it using DBMS_SPM.ALTER_SQL_PLAN_BASELINE. Disabling the plan tells the optimizer that this plan not a good plan, however since there is no alternative plan at this point the optimizer will still continue to use this plan until we provide a better one. 7. Now let's run the statement without the hint. 8. Looking at the execution plan we can see that the join order is different. The plan without the hint also has a lower cost (3X lower), which indicates it should perform better. 9. In order to map the un-hinted plan to the hinted SQL statement we need to add the plan to the SQL plan baseline for the hinted statement. We can do this using DBMS_SPM.LOAD_PLANS_FROM_CURSOR_CACHE but we will need the SQL_ID and  PLAN_HASH_VALUE for the non-hinted statement, which we can find in V$SQL. 10. Now we can add the non-hinted plan to the SQL plan baseline of the hinted SQL statement using DBMS_SPM.LOAD_PLANS_FROM_CURSOR_CACHE. This time we need to pass a few more arguments. We will use the SQL_ID and PLAN_HASH_VALUE of the non-hinted statement but the SQL_HANDLE of the hinted statement. 11. The SQL plan baseline for our statement now has two plans. But only the newly added plan (SQL_PLAN_gbpcg3f67pc788a6d8911) is enabled and accepted. This tells the Optimizer that this is the plan it should use for this statement. We can confirm that the correct plan (non-hinted) will be selected for the statement from now on by re-executing the hinted statement and checking its execution plan.

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  • Weblogic 10.3.4 (PS3) nodemanager wont start?

    - by angelo.santagata
    Hi all, well Im back from Australia and one of the things which happened was Oracle announced the PS3 release of oracles SOA & Webcenter products have been released. Now I normally use pre-installed images but I always like to install the products at least once that way I get to see its installation caveats.. Here’s one. Installation on Windows 7 64bit, 64bit JVM, generic weblogic Server installer. All worked fine, EXCEPT I cant start the node manager, I get the following error <08-Feb-2011 17:16:48> <INFO> <Loading domains file: D:\products\wls1034\WLSERV~1.3\common\NODEMA~1\nodemanager.domains> <08-Feb-2011 17:16:48> <SEVERE> <Fatal error in node manager server> weblogic.nodemanager.common.ConfigException: Native version is enabled but nodemanager native library could not be loaded     at weblogic.nodemanager.server.NMServerConfig.initProcessControl(NMServerConfig.java:249)     at weblogic.nodemanager.server.NMServerConfig.<init>(NMServerConfig.java:190)     at weblogic.nodemanager.server.NMServer.init(NMServer.java:182)     at weblogic.nodemanager.server.NMServer.<init>(NMServer.java:148)     at weblogic.nodemanager.server.NMServer.main(NMServer.java:390)     at weblogic.NodeManager.main(NodeManager.java:31) Caused by: java.lang.UnsatisfiedLinkError: D:\products\wls1034\wlserver_10.3\server\native\win\32\nodemanager.dll: Can't load IA 32-bit .dll on a AMD 64-bit platform     at java.lang.ClassLoader$NativeLibrary.load(Native Method)     at java.lang.ClassLoader.loadLibrary0(ClassLoader.java:1803)     at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1728)     at java.lang.Runtime.loadLibrary0(Runtime.java:823)     at java.lang.System.loadLibrary(System.java:1028)     at weblogic.nodemanager.util.WindowsProcessControl.<init>(WindowsProcessControl.java:17)     at weblogic.nodemanager.util.ProcessControlFactory.getProcessControl(ProcessControlFactory.java:24)     at weblogic.nodemanager.server.NMServerConfig.initProcessControl(NMServerConfig.java:247)     ... 5 more Ok it appears that the node manager has gotten confused and thinks this is a 32bit install of Weblogic Server whereas it is the 64bit install.. Might have been something I did, or didnt do, on installation (e.g. –d64 on the jvm command line), however the workaround is pretty easy. 1. Create a file called nodemanager.properties in %WL_HOME%\common\nodemanager on my machine it was D:\products\wls1034\wlserver_10.3\common\nodemanager 2. Add the following line to it NativeVersionEnabled=false 3. And start it up!, this will force it not to use .DLL files and use emulation/non native methods instead..  

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  • My Doors - Why Standards Matter to Business

    - by Brian Dayton
    "Standards save money." "Standards accelerate projects." "Standards make better solutions."   What do these statements mean to you? You buy technology solutions like Oracle Applications but you're a business person--trying to close the quarter, get performance reviews processed, negotiate a new sourcing contract, etc.   When "standards" come up in presentations and discussions do you: -          Nod your head politely -          Tune out and check your smart phone -          Turn to your IT counterpart and say "Bob's all over this standards thing, right Bob?"   Here's why standards matter. My wife wants new external doors downstairs, ones that would get more light into the rooms. Am I OK with that? "Uhh, sure...it's a little dark in the kitchen."   -          24 hours ago - wife calls to tell me that she's going to the hardware store and may look at doors -          20 hours ago - wife pulls into driveway, informs me that two doors are in the back of her station wagon, ready for me to carry -          19 hours ago - I re-discovered the fact that it's not fun to carry a solid wood door by myself -          5 hours ago - Local handyman, who was at our house anyway, tells me that the doors we bought will likely cost 2-3x the material cost in installation time and labor...the doors are standard but our doorways aren't   We could have done more research. I could be more handy. Sure. But the fact is, my 1951 house wasn't built with me in mind. They built what worked and called it a day.   The same holds true with a lot of business applications. They were designed and architected for one-time use with one use-case in mind. Today's business climate is different. If you're going to use your processes and technology to differentiate your business you should have at least a working knowledge of: -          How standards can benefit your business -          Your IT organization's philosophy around standards -          Your vendor's track-record around standards...and watch for those who pay lip-service to standards but don't follow through   The rallying cry in most IT organizations today is "learn more about the business, drop the acronyms." I'm not advocating that you go out and learn how to code in Java. But I do believe it will help your business and your decision-making process if you meet IT ½...even ¼ of the way there.   Epilogue: The door project has been put on hold and yours truly has to return the doors to the hardware store tomorrow.

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  • Chrome Web Browser Messages: Some Observations

    - by ultan o'broin
    I'm always on the lookout for how different apps handle errors and what kind of messages are shown (I probably need to get out more), I use this 'research' to reflect on our own application error messages patterns and guidelines and how we might make things better for our users in future. Users are influenced by all sorts of things, but their everyday experiences of technology, and especially what they encounter on the internet, increasingly sets their expectations for the enterprise user experience too. I recently came across a couple of examples from Google's Chrome web browser that got me thinking. In the first case, we have a Chrome error about not being able to find a web page. I like how simple, straightforward messaging language is used along with an optional ability to explore things a bit further--for those users who want to. The 'more information' option shows the error encountered by the browser (or 'original' error) in technical terms, along with an error number. Contrasting the two messages about essentially the same problem reveals what's useful to users and what's not. Everyone can use the first message, but the technical version of the message has to be explicitly disclosed for any more advanced user to pursue further. More technical users might search for a resolution, using that Error 324 number, but I imagine most users who see the message will try again later or check their URL again. Seems reasonable that such an approach be adopted in the enterprise space too, right? Maybe. Generally, end users don't go searching for solutions based on those error numbers, and help desk folks generally prefer they don't do so. That's because of the more critical nature of enterprise data or the fact that end users may not have the necessary privileges to make any fixes anyway. What might be more useful here is a link to a trusted source of additional help provided by the help desk or reputable community instead. This takes me on to the second case, this time more closely related to the language used in messaging situations. Here, I first noticed by the using of the (s) approach to convey possibilities of there being one or more pages at the heart of the problem. This approach is a no-no in Oracle style terms (the plural would be used) and it can create translation issues (though it is not a show-stopper). I think Google could have gone with the plural too. However, of more interest is the use of the verb "kill", shown in the message text and as an action button label. For many writers, words like "kill" and "abort" are to be avoided as they can give offense. I am not so sure about that judgment, as really their use cannot be separated from the context. Certainly, for more technical users, they're fine and have been in use for years, so I see no reason to avoid these terms if the audience has accepted them. Most end users too, I think would find the idea of "kill" usable and may even use the term in every day speech. Others might disagree--Apple uses a concept of Force Quit, for example. Ultimately, the only way to really know how to proceed is to research these matter by asking users of differing roles and expertise to perform some tasks, encounter these messages and then make recommendations based on those findings for our designs. Something to do in 2011!

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  • Hidden exceptions

    - by user12617285
    Occasionally you may find yourself in a Java application environment where exceptions in your code are being caught by the application framework and either silently swallowed or converted into a generic exception. Either way, the potentially useful details of your original exception are inaccessible. Wouldn't it be nice if there was a VM option that showed the stack trace for every exception thrown, whether or not it's caught? In fact, HotSpot includes such an option: -XX:+TraceExceptions. However, this option is only available in a debug build of HotSpot (search globals.hpp for TraceExceptions). And based on a quick skim of the HotSpot source code, this option only prints the exception class and message. A more useful capability would be to have the complete stack trace printed as well as the code location catching the exception. This is what the various TraceException* options in in Maxine do (and more). That said, there is a way to achieve a limited version of the same thing with a stock standard JVM. It involves the use of the -Xbootclasspath/p non-standard option. The trick is to modify the source of java.lang.Exception by inserting the following: private static final boolean logging = System.getProperty("TraceExceptions") != null; private void log() { if (logging && sun.misc.VM.isBooted()) { printStackTrace(); } } Then every constructor simply needs to be modified to call log() just before returning: public Exception(String message) { super(message); log(); } public Exception(String message, Throwable cause) { super(message, cause); log(); } // etc... You now need to compile the modified Exception.java source and prepend the resulting class to the boot class path as well as add -DTraceExceptions to your java command line. Here's a console session showing these steps: % mkdir boot % javac -d boot Exception.java % java -DTraceExceptions -Xbootclasspath/p:boot -cp com.oracle.max.vm/bin test.output.HelloWorld java.util.zip.ZipException: error in opening zip file at java.util.zip.ZipFile.open(Native Method) at java.util.zip.ZipFile.(ZipFile.java:127) at java.util.jar.JarFile.(JarFile.java:135) at java.util.jar.JarFile.(JarFile.java:72) at sun.misc.URLClassPath$JarLoader.getJarFile(URLClassPath.java:646) at sun.misc.URLClassPath$JarLoader.access$600(URLClassPath.java:540) at sun.misc.URLClassPath$JarLoader$1.run(URLClassPath.java:607) at java.security.AccessController.doPrivileged(Native Method) at sun.misc.URLClassPath$JarLoader.ensureOpen(URLClassPath.java:599) at sun.misc.URLClassPath$JarLoader.(URLClassPath.java:583) at sun.misc.URLClassPath$3.run(URLClassPath.java:333) at java.security.AccessController.doPrivileged(Native Method) at sun.misc.URLClassPath.getLoader(URLClassPath.java:322) at sun.misc.URLClassPath.getLoader(URLClassPath.java:299) at sun.misc.URLClassPath.getResource(URLClassPath.java:168) at java.net.URLClassLoader$1.run(URLClassLoader.java:194) at java.security.AccessController.doPrivileged(Native Method) at java.net.URLClassLoader.findClass(URLClassLoader.java:190) at sun.misc.Launcher$ExtClassLoader.findClass(Launcher.java:229) at java.lang.ClassLoader.loadClass(ClassLoader.java:306) at java.lang.ClassLoader.loadClass(ClassLoader.java:295) at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:301) at java.lang.ClassLoader.loadClass(ClassLoader.java:247) java.security.PrivilegedActionException at java.security.AccessController.doPrivileged(Native Method) at sun.misc.URLClassPath$JarLoader.ensureOpen(URLClassPath.java:599) at sun.misc.URLClassPath$JarLoader.(URLClassPath.java:583) at sun.misc.URLClassPath$3.run(URLClassPath.java:333) at java.security.AccessController.doPrivileged(Native Method) at sun.misc.URLClassPath.getLoader(URLClassPath.java:322) ... It's worth pointing out that this is not as useful as direct VM support for tracing exceptions. It has (at least) the following limitations: The trace is shown for every exception, whether it is thrown or not. It only applies to subclasses of java.lang.Exception as there appears to be bootstrap issues when the modification is applied to Throwable.java. It does not show you where the exception was caught. It involves overriding a class in rt.jar, something should never be done in a non-development environment.

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  • Countdown of Top 10 Reasons to Never Ever Use a Pie Chart

    - by Tony Wolfram
      Pie charts are evil. They represent much of what is wrong with the poor design of many websites and software applications. They're also innefective, misleading, and innacurate. Using a pie chart as your graph of choice to visually display important statistics and information demonstrates either a lack of knowledge, laziness, or poor design skills. Figure 1: A floating, tilted, 3D pie chart with shadow trying (poorly)to show usage statistics within a graphics application.   Of course, pie charts in and of themselves are not evil. This blog is really about designers making poor decisions for all the wrong reasons. In order for a pie chart to appear on a web page, somebody chose it over the other alternatives, and probably thought they were doing the right thing. They weren't. Using a pie chart is almost always a bad design decision. Figure 2: Pie Chart from an Oracle Reports User Guide   A pie chart does not do the job of effectively displaying information in an elegant visual form.  Being circular, they use up too much space while not allowing their labels to line up. Bar charts, line charts, and tables do a much better job. Expert designers, statisticians, and business analysts have documented their many failings, and strongly urge software and report designers not to use them. It's obvious to them that the pie chart has too many inherent defects to ever be used effectively. Figure 3: Demonstration of how comparing data between multiple pie charts is difficult.   Yet pie charts are still used frequently in today's software applications, financial reports, and websites, often on the opening page as a symbol of how the data inside is represented. In an attempt to get a flashy colorful graphic to break up boring text, designers will often settle for a pie chart that looks like pac man, a colored spinning wheel, or a 3D floating alien space ship.     Figure 4: Best use of a pie chart I've found yet.   Why is the pie chart so popular? Through its constant use and iconic representation as the classic chart, the idea persists that it must be a good choice, since everyone else is still using it. Like a virus or an urban legend, no amount of vaccine or debunking will slow down the use of pie charts, which seem to be resistant to logic and common sense. Even the new iPad from Apple showcases the pie chart as one of its options.     Figure 5: Screen shot of new iPad showcasing pie charts. Regardless of the futility in trying to rid the planet of this often used poor design choice, I now present to you my top 10 reasons why you should never, ever user a pie chart again.    Number 10 - Pie Charts Just Don't Work When Comparing Data Number 9 - You Have A Better Option: The Sorted Horizontal Bar Chart Number 8 - The Pie Chart is Always Round Number 7 - Some Genius Will Make It 3D Number 6 - Legends and Labels are Hard to Align and Read Number 5 - Nobody Has Ever Made a Critical Decision Using a Pie Chart Number 4 - It Doesn't Scale Well to More Than 2 Items Number 3 - A Pie Chart Causes Distortions and Errors Number 2 - Everyone Else Uses Them: Debunking the "Urban Legend" of Pie Charts Number 1 - Pie Charts Make You Look Stupid and Lazy  

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