Search Results

Search found 14412 results on 577 pages for 'oracle sqldeveloper'.

Page 476/577 | < Previous Page | 472 473 474 475 476 477 478 479 480 481 482 483  | Next Page >

  • The ABC of Front End Web Development

    - by Geertjan
    And here it is, the long awaited "ABC" of front end web development, in which the items I never knew existed until I was looking to fill the gaps link off to the sites where more info can be found on them. A is for Android and AngularJS B is for Backbone.js and Bower C is for CSS and Cordova D is for Docker E is for Ember.js and Ext JS F is for Frisby.js G is for Grunt H is for HTML I is for Ionic and iPhone J is for JavaScript, Jasmine, and JSON K is for Knockout.js and Karma L is for LESS M is for Mocha N is for NetBeans and Node.js O is for "Oh no, my JS app is unmaintainable!" P is for PHP, Protractor, and PhoneGap Q is for Queen.js R is for Request.js S is for SASS, Selenium, and Sublime T is for TestFairy U is for Umbrella V is for Vaadin W is for WebStorm X is for XML Y is for Yeoman Z is for Zebra

    Read the article

  • WebCenter Spaces 11g PS2 Task Flow Customization

    - by Javier Ductor
    Previously, I wrote about Spaces Template Customization. In order to adapt Spaces to customers prototype, it was necessary to change template and skin, as well as the members task flow. In this entry, I describe how to customize this task flow.Default members portlet:Prototype Members Portlet:First thing to do, I downloaded SpacesTaskflowCustomizationApplication with its guide.This application allows developers to modify task flows in Spaces, such as Announcements, Discussions, Events, Members, etc. Before starting, some configuration is needed in jDeveloper, like changing role to 'Customization Developer' mode, although it is explained in the application guide. It is important to know that the way task flows are modified is through libraries, and they cannot be updated directly in the source code like templates, you must use the Structure panel for this. Steps to customize Members portlet:1. There are two members views: showIconicView and showListView. By default it is set to Iconic view, but in my case I preferred the View list, so I updated in table-of-members-taskflow.xml this default value.2. Change the TableOfMembers-ListView.jspx file. By editing this file, you can control the way this task flow is displayed. So I customized this list view using the structure panel to get the desired look&feel.3. After changes are made, click save all, because every time a library changes an xml file is generated with all modifications listed, and they must be saved.4. Rebuild project and deploy application.5. Open WLST command window and import this customization to MDS repository with the 'import' command.Eventually, this was the result:Other task flows can be customized in a similar way.

    Read the article

  • Take Steps to Mitigate the Threat of Insiders

    - by Troy Kitch
    Register now for our upcoming Feb 23 Webcast The Insider Threat, Understand and Mitigate Your Risks. Insiders, by virtue of legitimate access to their organizations' information and IT infrastructure, pose a significant risk to employers. Employees, motivated by financial problems, greed, revenge, the desire to obtain a business advantage, or the wish to impress a new employer, have stolen confidential data, proprietary information, or intellectual property from their employers. Since this data typically resides in databases, organizations need to consider a database security defense in depth approach that takes into account preventive and detective controls to protect their data against abuse by insiders. Register now and learn about: Actual cases of insider cyber crimes Three primary types of insider cyber crimes: IT sabotage, theft of intellectual property (e.g. trade secrets), and employee fraud Lack of controls around data that allow these crimes to be successful Solutions to help secure data and database infrastructure

    Read the article

  • BIP BIServer Query Debug

    - by Tim Dexter
    With some help from Bryan, I have uncovered a way of being able to debug or at least log what BIServer is doing when BIP sends it a query request. This is not for those of you querying the database directly but if you are using the BIServer and its datamodel to fetch data for a BIP report. If you have written or used the query builder against BIServer and when you run the report it chokes with a cryptic message, that you have no clue about, read on. When BIP runs a piece of BIServer logical SQL to fetch data. It does not appear to validate it, it just passes it through, so what is BIServer doing on its end? As you may know, you are not writing regular physical sql its actually logical sql e.g. select Jobs."Job Title" as "Job Title", Employees."Last Name" as "Last Name", Employees.Salary as Salary, Locations."Department Name" as "Department Name", Locations."Country Name" as "Country Name", Locations."Region Name" as "Region Name" from HR.Locations Locations, HR.Employees Employees, HR.Jobs Jobs The tables might not even be a physical tables, we don't care, that's what the BIServer and its model are for. You have put all the effort into building the model, just go get me the data from where ever it might be. The BIServer takes the logical sql and uses its vast brain to work out what the physical SQL is, executes it and passes the result back to BIP. select distinct T32556.JOB_TITLE as c1, T32543.LAST_NAME as c2, T32543.SALARY as c3, T32537.DEPARTMENT_NAME as c4, T32532.COUNTRY_NAME as c5, T32577.REGION_NAME as c6 from JOBS T32556, REGIONS T32577, COUNTRIES T32532, LOCATIONS T32569, DEPARTMENTS T32537, EMPLOYEES T32543 where ( T32532.COUNTRY_ID = T32569.COUNTRY_ID and T32532.REGION_ID = T32577.REGION_ID and T32537.DEPARTMENT_ID = T32543.DEPARTMENT_ID and T32537.LOCATION_ID = T32569.LOCATION_ID and T32543.JOB_ID = T32556.JOB_ID ) Not a very tough example I know but you get the idea. How do I know what the BIServer is up to? How can I find out what the issue might be if BIServer chokes on my query? There are a couple of steps: In the Administrator tool you need to set the logging level for the Administrator user to something greater than the default '0'. '7' is going to give you the max. Just remember to take it back down after you have finished the debug. I needed to bounce my BIServer service Now here's the secret sauce. Prefix the following to your BIP query set variable LOGLEVEL = 7; Set the log level to that you have in the admin tool Now run your BIP report. With the prefix in place; BIServer will write to the NQQuery.log file. This is located in the ./OracleBI/server/Log directory. In there you are going to find the complete process the BIServer has gone through to try and get the data back for you A quick note, if the BIServer can, its going to hit that great BIEE cache to get your data and you may not see the full log. IF this is the case. Get inot hte Administration page (via the browser login) and clear out your BIP report cursor. Then re-run. This will hopefully help out if you are trying to debug that annoying BIP report that will not run or is getting some strange data. Don't forget to turn that logging level back down once you are done. This will avoid the DBA screaming at you for sucking up all the disk space on the system.

    Read the article

  • Remembering September 11 - 11 Years Later

    - by user12613380
    It's September 11 again and time to reminisce about that fateful day when the world came together as one. The attacks of that day touched everyone around the world as almost 3000 people from the United States and 38 other countries were killed. This year, I am finding it difficult to say anything other than what I have said in previous years. So, I will not try to "wax loquacious." Instead, I will simply say that I will never forgot. I will not forget where I was on that day. I will not forgot the people who died. I will not forget the people who gave their lives so that others might live. And I will not forget how our world changed on that day. And with that remembrance, we again return to our lives, using tragedy to drive us to build a world of peace and opportunity. My thanks go out again to the men and women, uniformed or not, who continue to protect us from harm. May we never again experience such human tragedy, on U.S. soil or elsewhere.

    Read the article

  • Something to add to your library...

    - by werner.de.gruyter
    There is a new book in town: The Grid Control Handbook. Featuring an in-depth discussion of what Grid Control is and what Grid Control can do for your IT environment. It starts right at the beginning, and guides you through the all steps of a typical deployment: From the planning phase, to installing, to the strengthening of the environment and finally (most importantly) the maintenance and daily-use of the product. And there are quite a few tips, tricks, workshops and best practices along the way to help you with some very practical day-to-day challenges. For all those using Grid Control, something definitely worth checking out!

    Read the article

  • BIEE Answer Parameter Passing

    - by Tim Dexter
    A little off BIP topic today but I spent some time researching how to pass parameters between Answer reports and knocked up a document for a client this morning and thought, what the heck someone might find it useful. If you have a source Answer request and you want to link to another Answer in another subject area and pass values to the target request, read this.

    Read the article

  • Downloading specific video renditions in WebCenter Content

    - by Kyle Hatlestad
    I recently had a question come up on one of my previous blog articles about downloading a specific video rendition.  When accessing image renditions, you simply need to pass in the 'Rendition=<rendition name>' parameter on the GET_FILE service and it will be returned.  But when you try that with videos, you get the error message, "Unable to download '<Content ID>'. The rendition or attachment '<Rendition Name>' could not be found in the list manifest of the revision with internal revision ID '<dID>'. [Read More] 

    Read the article

  • Downloading specific video renditions in WebCenter Content

    - by Kyle Hatlestad
    I recently had a question come up on one of my previous blog articles about downloading a specific video rendition.  When accessing image renditions, you simply need to pass in the 'Rendition=<rendition name>' parameter on the GET_FILE service and it will be returned.  But when you try that with videos, you get the error message, "Unable to download '<Content ID>'. The rendition or attachment '<Rendition Name>' could not be found in the list manifest of the revision with internal revision ID '<dID>'. Through the interface, it exposes the ability to download, but utilizes the Content Basket to bundle one or more videos and download them as a zip.   I had never tried this with videos, but thought they had worked the same way.  Well, it turns out you need to pass in an extra parameter in the case of videos.  So if you pass in parameter of 'AuxRenditionType=media', that will allow the GET_FILE service to download the video (e.g. http://server/cs/idcplg?IdcService=GET_FILE&dID=11012&dDocName=WCCBASE9010812&allowInterrupt=1 &Rendition=QuickTime&AuxRenditionType=media).  And if you haven't seen the David After Dentist video, I'd highly recommend it! 

    Read the article

  • Venezuela's Highly Inflationary Economy Means Changes to Financial Statements

    - by Theresa Hickman
    This is a bit of an esoteric topic, but given the number of U.S. Companies (particularly oil companies) that operate and have subsidiaries in Venezuela, I think it is worthy of an honorable mention. As you may or may not know, Venezuela's currency has had some changes over the years. In 2008, the Venezuelan Bolivar became the Bolivar Fuerte which dropped three zeros. So Bs.10,000 became Bs.F.10 and all their bills and coins were changed to reflect this. Then on Jan. 8, 2010, the government devalued the currency by 100%. The conversion from VEF to USD dropped from 2.15 to 4.30. (I always wanted to visit Venezuela; I guess it's time to book my vacation). The SEC recently labeled Venezuela a highly inflationary economy. This means that US companies with investments/subsidiaries in Venezuela will need to apply highly inflationary accounting rules starting on Jan. 1, 2010. In addition, companies need to make more detailed disclosures when the Venezuelan reported balances differ from the actual US dollar denominated balances. In a nut shell, if you formerly used translation, then starting Jan 1 of this year, you must now use remeasurement (or temporal method) to restate your Venezuelan entity's financial statements. See ASC topic 830, Foreign Currency Matters, which states that "[t]he financial statements of a foreign entity in a highly inflationary economy shall be remeasured as if the functional currency were the reporting currency." For you non-accountants that I haven't bored and are still reading at this point, the reason why the SEC is doing this is to ensure financial statements are presented as accurately as possible. Hyperinflationary economies have volatile currencies, such as Venezuela (it's not every day a currency devalues 100% overnight) which can distort financial statements if the local currency (Venezuelan Bolivar Fuerte) is used as the functional currency. To make financial statements more accurate, the reporting currency of the U.S. parent (US dollars) should be used as the functional currency. FASB.orgactually has a nice write-up on this.

    Read the article

  • The JRockit Book is Now in Print!

    - by Marcus Hirt
    Yes. I know. It’s been in print for some days already, but I haven’t found time to write about it until now. The book is a good guide for JVM’s in general, and for JRockit in particular. If you’ve ever wondered how the innards of the Java Virtual Machine works, or how to use the JRockit Mission Control to hunt down problems in your Java applications, this book is for you. The book is written for intermediate to advanced Java Developers. These are the chapters: Getting Started Adaptive Code Generation Adaptive Memory Management Threads and Synchronization Benchmarking and Tuning JRockit Mission Control The Management Console The Runtime Analyzer The Flight Recorder The Memory Leak Detector JRCMD Using the JRockit Management APIs JRockit Virtual Edition Appendix A: Bibliography Appendix B: Glossary Index The book is 588 pages long. For more information about the book, see the book page at Packt.

    Read the article

  • The Unspoken - The Why of GC Ergonomics

    - by jonthecollector
    Do you use GC ergonomics, -XX:+UseAdaptiveSizePolicy, with the UseParallelGC collector? The jist of GC ergonomics for that collector is that it tries to grow or shrink the heap to meet a specified goal. The goals that you can choose are maximum pause time and/or throughput. Don't get too excited there. I'm speaking about UseParallelGC (the throughput collector) so there are definite limits to what pause goals can be achieved. When you say out loud "I don't care about pause times, give me the best throughput I can get" and then say to yourself "Well, maybe 10 seconds really is too long", then think about a pause time goal. By default there is no pause time goal and the throughput goal is high (98% of the time doing application work and 2% of the time doing GC work). You can get more details on this in my very first blog. GC ergonomics The UseG1GC has its own version of GC ergonomics, but I'll be talking only about the UseParallelGC version. If you use this option and wanted to know what it (GC ergonomics) was thinking, try -XX:AdaptiveSizePolicyOutputInterval=1 This will print out information every i-th GC (above i is 1) about what the GC ergonomics to trying to do. For example, UseAdaptiveSizePolicy actions to meet *** throughput goal *** GC overhead (%) Young generation: 16.10 (attempted to grow) Tenured generation: 4.67 (attempted to grow) Tenuring threshold: (attempted to decrease to balance GC costs) = 1 GC ergonomics tries to meet (in order) Pause time goal Throughput goal Minimum footprint The first line says that it's trying to meet the throughput goal. UseAdaptiveSizePolicy actions to meet *** throughput goal *** This run has the default pause time goal (i.e., no pause time goal) so it is trying to reach a 98% throughput. The lines Young generation: 16.10 (attempted to grow) Tenured generation: 4.67 (attempted to grow) say that we're currently spending about 16% of the time doing young GC's and about 5% of the time doing full GC's. These percentages are a decaying, weighted average (earlier contributions to the average are given less weight). The source code is available as part of the OpenJDK so you can take a look at it if you want the exact definition. GC ergonomics is trying to increase the throughput by growing the heap (so says the "attempted to grow"). The last line Tenuring threshold: (attempted to decrease to balance GC costs) = 1 says that the ergonomics is trying to balance the GC times between young GC's and full GC's by decreasing the tenuring threshold. During a young collection the younger objects are copied to the survivor spaces while the older objects are copied to the tenured generation. Younger and older are defined by the tenuring threshold. If the tenuring threshold hold is 4, an object that has survived fewer than 4 young collections (and has remained in the young generation by being copied to the part of the young generation called a survivor space) it is younger and copied again to a survivor space. If it has survived 4 or more young collections, it is older and gets copied to the tenured generation. A lower tenuring threshold moves objects more eagerly to the tenured generation and, conversely a higher tenuring threshold keeps copying objects between survivor spaces longer. The tenuring threshold varies dynamically with the UseParallelGC collector. That is different than our other collectors which have a static tenuring threshold. GC ergonomics tries to balance the amount of work done by the young GC's and the full GC's by varying the tenuring threshold. Want more work done in the young GC's? Keep objects longer in the survivor spaces by increasing the tenuring threshold. This is an example of the output when GC ergonomics is trying to achieve a pause time goal UseAdaptiveSizePolicy actions to meet *** pause time goal *** GC overhead (%) Young generation: 20.74 (no change) Tenured generation: 31.70 (attempted to shrink) The pause goal was set at 50 millisecs and the last GC was 0.415: [Full GC (Ergonomics) [PSYoungGen: 2048K-0K(26624K)] [ParOldGen: 26095K-9711K(28992K)] 28143K-9711K(55616K), [Metaspace: 1719K-1719K(2473K/6528K)], 0.0758940 secs] [Times: user=0.28 sys=0.00, real=0.08 secs] The full collection took about 76 millisecs so GC ergonomics wants to shrink the tenured generation to reduce that pause time. The previous young GC was 0.346: [GC (Allocation Failure) [PSYoungGen: 26624K-2048K(26624K)] 40547K-22223K(56768K), 0.0136501 secs] [Times: user=0.06 sys=0.00, real=0.02 secs] so the pause time there was about 14 millisecs so no changes are needed. If trying to meet a pause time goal, the generations are typically shrunk. With a pause time goal in play, watch the GC overhead numbers and you will usually see the cost of setting a pause time goal (i.e., throughput goes down). If the pause goal is too low, you won't achieve your pause time goal and you will spend all your time doing GC. GC ergonomics is meant to be simple because it is meant to be used by anyone. It was not meant to be mysterious and so this output was added. If you don't like what GC ergonomics is doing, you can turn it off with -XX:-UseAdaptiveSizePolicy, but be pre-warned that you have to manage the size of the generations explicitly. If UseAdaptiveSizePolicy is turned off, the heap does not grow. The size of the heap (and the generations) at the start of execution is always the size of the heap. I don't like that and tried to fix it once (with some help from an OpenJDK contributor) but it unfortunately never made it out the door. I still have hope though. Just a side note. With the default throughput goal of 98% the heap often grows to it's maximum value and stays there. Definitely reduce the throughput goal if footprint is important. Start with -XX:GCTimeRatio=4 for a more modest throughput goal (%20 of the time spent in GC). A higher value means a smaller amount of time in GC (as the throughput goal).

    Read the article

  • JavaFX, Google Maps, and NetBeans Platform

    - by Geertjan
    Thanks to a great new article by Rob Terpilowski, and other work and research he describes in that article, it's now trivial to introduce a map component to a NetBeans Platform application. Making use of the GMapsFX library, as described in Rob's article, which provides a JavaFX API for Google Maps, you can very quickly knock this application together. Click to enlarge the image. Here's all the code (from Rob's article): @TopComponent.Description( preferredID = "MapTopComponent", persistenceType = TopComponent.PERSISTENCE_ALWAYS ) @TopComponent.Registration(mode = "editor", openAtStartup = true) @ActionID(category = "Window", id = "org.map.MapTopComponent") @ActionReference(path = "Menu/Window" /*, position = 333 */) @TopComponent.OpenActionRegistration( displayName = "#CTL_MapWindowAction", preferredID = "MapTopComponent" ) @NbBundle.Messages({ "CTL_MapWindowAction=Map", "CTL_MapTopComponent=Map Window", "HINT_MapTopComponent=This is a Map window" }) public class MapWindow extends TopComponent implements MapComponentInitializedListener { protected GoogleMapView mapComponent; protected GoogleMap map; private static final double latitude = 52.3667; private static final double longitude = 4.9000; public MapWindow() { setName(Bundle.CTL_MapTopComponent()); setToolTipText(Bundle.HINT_MapTopComponent()); setLayout(new BorderLayout()); JFXPanel panel = new JFXPanel(); Platform.setImplicitExit(false); Platform.runLater(() -> { mapComponent = new GoogleMapView(); mapComponent.addMapInializedListener(this); BorderPane root = new BorderPane(mapComponent); Scene scene = new Scene(root); panel.setScene(scene); }); add(panel, BorderLayout.CENTER); } @Override public void mapInitialized() { //Once the map has been loaded by the Webview, initialize the map details. LatLong center = new LatLong(latitude, longitude); MapOptions options = new MapOptions(); options.center(center) .mapMarker(true) .zoom(9) .overviewMapControl(false) .panControl(false) .rotateControl(false) .scaleControl(false) .streetViewControl(false) .zoomControl(false) .mapType(MapTypeIdEnum.ROADMAP); map = mapComponent.createMap(options); //Add a couple of markers to the map. MarkerOptions markerOptions = new MarkerOptions(); LatLong markerLatLong = new LatLong(latitude, longitude); markerOptions.position(markerLatLong) .title("My new Marker") .animation(Animation.DROP) .visible(true); Marker myMarker = new Marker(markerOptions); MarkerOptions markerOptions2 = new MarkerOptions(); LatLong markerLatLong2 = new LatLong(latitude, longitude); markerOptions2.position(markerLatLong2) .title("My new Marker") .visible(true); Marker myMarker2 = new Marker(markerOptions2); map.addMarker(myMarker); map.addMarker(myMarker2); //Add an info window to the Map. InfoWindowOptions infoOptions = new InfoWindowOptions(); infoOptions.content("<h2>Center of the Universe</h2>") .position(center); InfoWindow window = new InfoWindow(infoOptions); window.open(map, myMarker); } } Awesome work Rob, will be useful for many developers out there.

    Read the article

  • Optimizing AES modes on Solaris for Intel Westmere

    - by danx
    Optimizing AES modes on Solaris for Intel Westmere Review AES is a strong method of symmetric (secret-key) encryption. It is a U.S. FIPS-approved cryptographic algorithm (FIPS 197) that operates on 16-byte blocks. AES has been available since 2001 and is widely used. However, AES by itself has a weakness. AES encryption isn't usually used by itself because identical blocks of plaintext are always encrypted into identical blocks of ciphertext. This encryption can be easily attacked with "dictionaries" of common blocks of text and allows one to more-easily discern the content of the unknown cryptotext. This mode of encryption is called "Electronic Code Book" (ECB), because one in theory can keep a "code book" of all known cryptotext and plaintext results to cipher and decipher AES. In practice, a complete "code book" is not practical, even in electronic form, but large dictionaries of common plaintext blocks is still possible. Here's a diagram of encrypting input data using AES ECB mode: Block 1 Block 2 PlainTextInput PlainTextInput | | | | \/ \/ AESKey-->(AES Encryption) AESKey-->(AES Encryption) | | | | \/ \/ CipherTextOutput CipherTextOutput Block 1 Block 2 What's the solution to the same cleartext input producing the same ciphertext output? The solution is to further process the encrypted or decrypted text in such a way that the same text produces different output. This usually involves an Initialization Vector (IV) and XORing the decrypted or encrypted text. As an example, I'll illustrate CBC mode encryption: Block 1 Block 2 PlainTextInput PlainTextInput | | | | \/ \/ IV >----->(XOR) +------------->(XOR) +---> . . . . | | | | | | | | \/ | \/ | AESKey-->(AES Encryption) | AESKey-->(AES Encryption) | | | | | | | | | \/ | \/ | CipherTextOutput ------+ CipherTextOutput -------+ Block 1 Block 2 The steps for CBC encryption are: Start with a 16-byte Initialization Vector (IV), choosen randomly. XOR the IV with the first block of input plaintext Encrypt the result with AES using a user-provided key. The result is the first 16-bytes of output cryptotext. Use the cryptotext (instead of the IV) of the previous block to XOR with the next input block of plaintext Another mode besides CBC is Counter Mode (CTR). As with CBC mode, it also starts with a 16-byte IV. However, for subsequent blocks, the IV is just incremented by one. Also, the IV ix XORed with the AES encryption result (not the plain text input). Here's an illustration: Block 1 Block 2 PlainTextInput PlainTextInput | | | | \/ \/ AESKey-->(AES Encryption) AESKey-->(AES Encryption) | | | | \/ \/ IV >----->(XOR) IV + 1 >---->(XOR) IV + 2 ---> . . . . | | | | \/ \/ CipherTextOutput CipherTextOutput Block 1 Block 2 Optimization Which of these modes can be parallelized? ECB encryption/decryption can be parallelized because it does more than plain AES encryption and decryption, as mentioned above. CBC encryption can't be parallelized because it depends on the output of the previous block. However, CBC decryption can be parallelized because all the encrypted blocks are known at the beginning. CTR encryption and decryption can be parallelized because the input to each block is known--it's just the IV incremented by one for each subsequent block. So, in summary, for ECB, CBC, and CTR modes, encryption and decryption can be parallelized with the exception of CBC encryption. How do we parallelize encryption? By interleaving. Usually when reading and writing data there are pipeline "stalls" (idle processor cycles) that result from waiting for memory to be loaded or stored to or from CPU registers. Since the software is written to encrypt/decrypt the next data block where pipeline stalls usually occurs, we can avoid stalls and crypt with fewer cycles. This software processes 4 blocks at a time, which ensures virtually no waiting ("stalling") for reading or writing data in memory. Other Optimizations Besides interleaving, other optimizations performed are Loading the entire key schedule into the 128-bit %xmm registers. This is done once for per 4-block of data (since 4 blocks of data is processed, when present). The following is loaded: the entire "key schedule" (user input key preprocessed for encryption and decryption). This takes 11, 13, or 15 registers, for AES-128, AES-192, and AES-256, respectively The input data is loaded into another %xmm register The same register contains the output result after encrypting/decrypting Using SSSE 4 instructions (AESNI). Besides the aesenc, aesenclast, aesdec, aesdeclast, aeskeygenassist, and aesimc AESNI instructions, Intel has several other instructions that operate on the 128-bit %xmm registers. Some common instructions for encryption are: pxor exclusive or (very useful), movdqu load/store a %xmm register from/to memory, pshufb shuffle bytes for byte swapping, pclmulqdq carry-less multiply for GCM mode Combining AES encryption/decryption with CBC or CTR modes processing. Instead of loading input data twice (once for AES encryption/decryption, and again for modes (CTR or CBC, for example) processing, the input data is loaded once as both AES and modes operations occur at in the same function Performance Everyone likes pretty color charts, so here they are. I ran these on Solaris 11 running on a Piketon Platform system with a 4-core Intel Clarkdale processor @3.20GHz. Clarkdale which is part of the Westmere processor architecture family. The "before" case is Solaris 11, unmodified. Keep in mind that the "before" case already has been optimized with hand-coded Intel AESNI assembly. The "after" case has combined AES-NI and mode instructions, interleaved 4 blocks at-a-time. « For the first table, lower is better (milliseconds). The first table shows the performance improvement using the Solaris encrypt(1) and decrypt(1) CLI commands. I encrypted and decrypted a 1/2 GByte file on /tmp (swap tmpfs). Encryption improved by about 40% and decryption improved by about 80%. AES-128 is slighty faster than AES-256, as expected. The second table shows more detail timings for CBC, CTR, and ECB modes for the 3 AES key sizes and different data lengths. » The results shown are the percentage improvement as shown by an internal PKCS#11 microbenchmark. And keep in mind the previous baseline code already had optimized AESNI assembly! The keysize (AES-128, 192, or 256) makes little difference in relative percentage improvement (although, of course, AES-128 is faster than AES-256). Larger data sizes show better improvement than 128-byte data. Availability This software is in Solaris 11 FCS. It is available in the 64-bit libcrypto library and the "aes" Solaris kernel module. You must be running hardware that supports AESNI (for example, Intel Westmere and Sandy Bridge, microprocessor architectures). The easiest way to determine if AES-NI is available is with the isainfo(1) command. For example, $ isainfo -v 64-bit amd64 applications pclmulqdq aes sse4.2 sse4.1 ssse3 popcnt tscp ahf cx16 sse3 sse2 sse fxsr mmx cmov amd_sysc cx8 tsc fpu 32-bit i386 applications pclmulqdq aes sse4.2 sse4.1 ssse3 popcnt tscp ahf cx16 sse3 sse2 sse fxsr mmx cmov sep cx8 tsc fpu No special configuration or setup is needed to take advantage of this software. Solaris libraries and kernel automatically determine if it's running on AESNI-capable machines and execute the correctly-tuned software for the current microprocessor. Summary Maximum throughput of AES cipher modes can be achieved by combining AES encryption with modes processing, interleaving encryption of 4 blocks at a time, and using Intel's wide 128-bit %xmm registers and instructions. References "Block cipher modes of operation", Wikipedia Good overview of AES modes (ECB, CBC, CTR, etc.) "Advanced Encryption Standard", Wikipedia "Current Modes" describes NIST-approved block cipher modes (ECB,CBC, CFB, OFB, CCM, GCM)

    Read the article

  • How To: Use Monitoring Rules and Policies

    - by Owen Allen
    One of Ops Center's most useful features is its asset monitoring capability. When you discover an asset - an operating system, say, or a server - a default monitoring policy is applied to it, based on the asset type. This policy contains rules that specify what properties are monitored and what thresholds are considered significant. Ops Center will send a notification if a monitored asset passes one of the specified thresholds. But sometimes you want different assets to be monitored in different ways. For example, you might have a group of mission-critical systems, for which you want to be notified immediately if their file system usage rises above a specific threshold. You can do so by creating a new monitoring policy and applying it to the group. You can also apply monitoring policies to individual assets, and edit them to meet the requirements of your environment. The Tuning Monitoring Rules and Policies How-To walks you through all of these procedures.

    Read the article

  • Election 2012: Twitter Breaks Records with MySQL

    - by Bertrand Matthelié
    Twitter VP of Infrastructure Operations Engineering Mazen Rawashdeh shared news and numbers yesterday on his blog: "Last night, the world tuned in to Twitter to share the election results as U.S. voters chose a president and settled many other campaigns. Throughout the day, people sent more than 31 million election-related Tweets (which contained certain key terms and relevant hashtags). And as results rolled in, we tracked the surge in election-related Tweets at 327,452 Tweets per minute (TPM). These numbers reflect the largest election-related Twitter conversation during our 6 years of existence, though they don’t capture the total volume of all Tweets yesterday." "Last night, Twitter averaged about 9,965 TPS from 8:11pm to 9:11pm PT, with a one-second peak of 15,107 TPS at 8:20pm PT and a one-minute peak of 874,560 TPM. Seeing a sustained peak over the course of an entire event is a change from the way people have previously turned to Twitter during live events. Now, rather than brief spikes, we are seeing sustained peaks for hours." Congrats to Jeremy Cole, Davi Arnaut and the rest of the team at Twitter for their excellent work! Jeremy recently held a keynote presentation at MySQL Connect describing how MySQL powers Twitter, and why they chose and continue to rely on MySQL for their operations. You can watch the presentation here. He also went into more details during another presentation later that day and you can access the slides here. Below a couple of tweets from Jeremy after what have surely been hectic days...  Keep up the good work guys!

    Read the article

  • Few basic Billing facts

    - by Rajesh Sharma
    Quick basic points on Billing: In batch billing, there can be one and ONLY ONE bill for an Account, per Bill Cycle. If an Account has been already billed within the current Bill Cycle's window period, it will not be billed again and will be skipped by the Bill Segment generation program, part of batch eligibility check routine. If an Account does not have any Stopped Service Agreements and you attempt to generate a Bill for that Account that too for a period for which it was already billed, no Bill Segments are generated and a Pending Bill is created for that Account. If a Pending Bill exists for an Account and was generated from a batch, the Account will be re-billed in the next batch run. In contrast, if a Pending Bill exists for an Account and was generated online, the Account will be skipped in the next batch run of the Account's Bill Cycle. Bill generation source, Batch or Online at DB level is determined as following: Batch = CI_BILL.BILL_CYC_CD = {Bill Cycle Code} and CI_BILL.WIN_START_DT = {Window Start Date} Online = CI_BILL.BILL_CYC_CD = "" and CI_BILL.WIN_START_DT IS NULL Bill generation source, Batch or Online from Bill page is determined as following: Batch Online   Closing/Final Bill segment is generated for Stopped Service Agreements and is determined as follows: DB level CI_BSEG.CLOSING_BSEG_SW = "Y" Bill Segment page

    Read the article

  • Thread placement policies on NUMA systems - update

    - by Dave
    In a prior blog entry I noted that Solaris used a "maximum dispersal" placement policy to assign nascent threads to their initial processors. The general idea is that threads should be placed as far away from each other as possible in the resource topology in order to reduce resource contention between concurrently running threads. This policy assumes that resource contention -- pipelines, memory channel contention, destructive interference in the shared caches, etc -- will likely outweigh (a) any potential communication benefits we might achieve by packing our threads more densely onto a subset of the NUMA nodes, and (b) benefits of NUMA affinity between memory allocated by one thread and accessed by other threads. We want our threads spread widely over the system and not packed together. Conceptually, when placing a new thread, the kernel picks the least loaded node NUMA node (the node with lowest aggregate load average), and then the least loaded core on that node, etc. Furthermore, the kernel places threads onto resources -- sockets, cores, pipelines, etc -- without regard to the thread's process membership. That is, initial placement is process-agnostic. Keep reading, though. This description is incorrect. On Solaris 10 on a SPARC T5440 with 4 x T2+ NUMA nodes, if the system is otherwise unloaded and we launch a process that creates 20 compute-bound concurrent threads, then typically we'll see a perfect balance with 5 threads on each node. We see similar behavior on an 8-node x86 x4800 system, where each node has 8 cores and each core is 2-way hyperthreaded. So far so good; this behavior seems in agreement with the policy I described in the 1st paragraph. I recently tried the same experiment on a 4-node T4-4 running Solaris 11. Both the T5440 and T4-4 are 4-node systems that expose 256 logical thread contexts. To my surprise, all 20 threads were placed onto just one NUMA node while the other 3 nodes remained completely idle. I checked the usual suspects such as processor sets inadvertently left around by colleagues, processors left offline, and power management policies, but the system was configured normally. I then launched multiple concurrent instances of the process, and, interestingly, all the threads from the 1st process landed on one node, all the threads from the 2nd process landed on another node, and so on. This happened even if I interleaved thread creating between the processes, so I was relatively sure the effect didn't related to thread creation time, but rather that placement was a function of process membership. I this point I consulted the Solaris sources and talked with folks in the Solaris group. The new Solaris 11 behavior is intentional. The kernel is no longer using a simple maximum dispersal policy, and thread placement is process membership-aware. Now, even if other nodes are completely unloaded, the kernel will still try to pack new threads onto the home lgroup (socket) of the primordial thread until the load average of that node reaches 50%, after which it will pick the next least loaded node as the process's new favorite node for placement. On the T4-4 we have 64 logical thread contexts (strands) per socket (lgroup), so if we launch 48 concurrent threads we will find 32 placed on one node and 16 on some other node. If we launch 64 threads we'll find 32 and 32. That means we can end up with our threads clustered on a small subset of the nodes in a way that's quite different that what we've seen on Solaris 10. So we have a policy that allows process-aware packing but reverts to spreading threads onto other nodes if a node becomes too saturated. It turns out this policy was enabled in Solaris 10, but certain bugs suppressed the mixed packing/spreading behavior. There are configuration variables in /etc/system that allow us to dial the affinity between nascent threads and their primordial thread up and down: see lgrp_expand_proc_thresh, specifically. In the OpenSolaris source code the key routine is mpo_update_tunables(). This method reads the /etc/system variables and sets up some global variables that will subsequently be used by the dispatcher, which calls lgrp_choose() in lgrp.c to place nascent threads. Lgrp_expand_proc_thresh controls how loaded an lgroup must be before we'll consider homing a process's threads to another lgroup. Tune this value lower to have it spread your process's threads out more. To recap, the 'new' policy is as follows. Threads from the same process are packed onto a subset of the strands of a socket (50% for T-series). Once that socket reaches the 50% threshold the kernel then picks another preferred socket for that process. Threads from unrelated processes are spread across sockets. More precisely, different processes may have different preferred sockets (lgroups). Beware that I've simplified and elided details for the purposes of explication. The truth is in the code. Remarks: It's worth noting that initial thread placement is just that. If there's a gross imbalance between the load on different nodes then the kernel will migrate threads to achieve a better and more even distribution over the set of available nodes. Once a thread runs and gains some affinity for a node, however, it becomes "stickier" under the assumption that the thread has residual cache residency on that node, and that memory allocated by that thread resides on that node given the default "first-touch" page-level NUMA allocation policy. Exactly how the various policies interact and which have precedence under what circumstances could the topic of a future blog entry. The scheduler is work-conserving. The x4800 mentioned above is an interesting system. Each of the 8 sockets houses an Intel 7500-series processor. Each processor has 3 coherent QPI links and the system is arranged as a glueless 8-socket twisted ladder "mobius" topology. Nodes are either 1 or 2 hops distant over the QPI links. As an aside the mapping of logical CPUIDs to physical resources is rather interesting on Solaris/x4800. On SPARC/Solaris the CPUID layout is strictly geographic, with the highest order bits identifying the socket, the next lower bits identifying the core within that socket, following by the pipeline (if present) and finally the logical thread context ("strand") on the core. But on Solaris on the x4800 the CPUID layout is as follows. [6:6] identifies the hyperthread on a core; bits [5:3] identify the socket, or package in Intel terminology; bits [2:0] identify the core within a socket. Such low-level details should be of interest only if you're binding threads -- a bad idea, the kernel typically handles placement best -- or if you're writing NUMA-aware code that's aware of the ambient placement and makes decisions accordingly. Solaris introduced the so-called critical-threads mechanism, which is expressed by putting a thread into the FX scheduling class at priority 60. The critical-threads mechanism applies to placement on cores, not on sockets, however. That is, it's an intra-socket policy, not an inter-socket policy. Solaris 11 introduces the Power Aware Dispatcher (PAD) which packs threads instead of spreading them out in an attempt to be able to keep sockets or cores at lower power levels. Maximum dispersal may be good for performance but is anathema to power management. PAD is off by default, but power management polices constitute yet another confounding factor with respect to scheduling and dispatching. If your threads communicate heavily -- one thread reads cache lines last written by some other thread -- then the new dense packing policy may improve performance by reducing traffic on the coherent interconnect. On the other hand if your threads in your process communicate rarely, then it's possible the new packing policy might result on contention on shared computing resources. Unfortunately there's no simple litmus test that says whether packing or spreading is optimal in a given situation. The answer varies by system load, application, number of threads, and platform hardware characteristics. Currently we don't have the necessary tools and sensoria to decide at runtime, so we're reduced to an empirical approach where we run trials and try to decide on a placement policy. The situation is quite frustrating. Relatedly, it's often hard to determine just the right level of concurrency to optimize throughput. (Understanding constructive vs destructive interference in the shared caches would be a good start. We could augment the lines with a small tag field indicating which strand last installed or accessed a line. Given that, we could augment the CPU with performance counters for misses where a thread evicts a line it installed vs misses where a thread displaces a line installed by some other thread.)

    Read the article

  • Value of Certification Proven Again

    - by Paul Sorensen
    Hi Everyone,A recent article in Certification Magazine spells out the value of certification IT professionals and article provides some detailed insight on the state of the economy and what it means to IT professionals. A few of the key findings (among many) by Certification Magazine:Even in this tough economy, IT worker salaries grew at about 9%.Many respondents reported that they received raises after earning a new certification.Many people reported that they had earned one or two new credentials within the last year.Salaries for more entry-level certifications was stagnant over the last year or so.I encourage you to take a look at the article. It is very encouraging to see that companies and individuals still recognize and value the hard work that goes in to getting certified.Thank you,

    Read the article

  • Talking JavaOne with Rock Star Raghavan Srinivas

    - by Janice J. Heiss
    Raghavan Srinivas, affectionately known as “Rags,” is a two-time JavaOne Rock Star (from 2005 and 2011) who, as a Developer Advocate at Couchbase, gets his hands dirty with emerging technology directions and trends. His general focus is on distributed systems, with a specialization in cloud computing. He worked on Hadoop and HBase during its early stages, has spoken at conferences world-wide on a variety of technical topics, conducted and organized Hands-on Labs and taught graduate classes.He has 20 years of hands-on software development and over 10 years of architecture and technology evangelism experience and has worked for Digital Equipment Corporation, Sun Microsystems, Intuit and Accenture. He has evangelized and influenced the architecture of numerous technologies including the early releases of JavaFX, Java, Java EE, Java and XML, Java ME, AJAX and Web 2.0, and Java Security.Rags will be giving these sessions at JavaOne 2012: CON3570 -- Autosharding Enterprise to Social Gaming Applications with NoSQL and Couchbase CON3257 -- Script Bowl 2012: The Battle of the JVM-Based Languages (with Guillaume Laforge, Aaron Bedra, Dick Wall, and Dr Nic Williams) Rags emphasized the importance of the Cloud: “The Cloud and the Big Data are popular technologies not merely because they are trendy, but, largely due to the fact that it's possible to do massive data mining and use that information for business advantage,” he explained. I asked him what we should know about Hadoop. “Hadoop,” he remarked, “is mainly about using commodity hardware and achieving unprecedented scalability. At the heart of all this is the Java Virtual Machine which is running on each of these nodes. The vision of taking the processing to where the data resides is made possible by Java and Hadoop.” And the most exciting thing happening in the world of Java today? “I read recently that Java projects on github.com are just off the charts when compared to other projects. It's exciting to realize the robust growth of Java and the degree of collaboration amongst Java programmers.” He encourages Java developers to take advantage of Java 7 for Mac OS X which is now available for download. At the same time, he also encourages us to read the caveats.

    Read the article

  • ct.sym steals the ASM class

    - by Geertjan
    Some mild consternation on the Twittersphere yesterday. Marcus Lagergren not being able to find the ASM classes in JDK 8 in NetBeans IDE: And there's no such problem in Eclipse (and apparently in IntelliJ IDEA). Help, does NetBeans (despite being incredibly awesome) suck, after all? The truth of the matter is that there's something called "ct.sym" in the JDK. When javac is compiling code, it doesn't link against rt.jar. Instead, it uses a special symbol file lib/ct.sym with class stubs. Internal JDK classes are not put in that symbol file, since those are internal classes. You shouldn't want to use them, at all. However, what if you're Marcus Lagergren who DOES need these classes? I.e., he's working on the internal JDK classes and hence needs to have access to them. Fair enough that the general Java population can't access those classes, since they're internal implementation classes that could be changed anytime and one wouldn't want all unknown clients of those classes to start breaking once changes are made to the implementation, i.e., this is the rt.jar's internal class protection mechanism. But, again, we're now Marcus Lagergen and not the general Java population. For the solution, read Jan Lahoda, NetBeans Java Editor guru, here: https://netbeans.org/bugzilla/show_bug.cgi?id=186120 In particular, take note of this: AFAIK, the ct.sym is new in JDK6. It contains stubs for all classes that existed in JDK5 (for compatibility with existing programs that would use private JDK classes), but does not contain implementation classes that were introduced in JDK6 (only API classes). This is to prevent application developers to accidentally use JDK's private classes (as such applications would be unportable and may not run on future versions of JDK). Note that this is not really a NB thing - this is the behavior of javac from the JDK. I do not know about any way to disable this except deleting ct.sym or the option mentioned above. Regarding loading the classes: JVM uses two classpath's: classpath and bootclasspath. rt.jar is on the bootclasspath and has precedence over anything on the "custom" classpath, which is used by the application. The usual way to override classes on bootclasspath is to start the JVM with "-Xbootclasspath/p:" option, which prepends the given jars (and presumably also directories) to bootclasspath. Hence, let's take the first option, the simpler one, and simply delete the "ct.sym" file. Again, only because we need to work with those internal classes as developers of the JDK, not because we want to hack our way around "ct.sym", which would mean you'd not have portable code at the end of the day. Go to the JDK 8 lib folder and you'll find the file: Delete it. Start NetBeans IDE again, either on JDK 7 or JDK 8, doesn't make a difference for these purposes, create a new Java application (or use an existing one), make sure you have set the JDK above as the JDK of the application, and hey presto: The above obviously assumes you have a build of JDK 8 that actually includes the ASM package. And below you can see that not only are the classes found but my build succeeded, even though I'm using internal JDK classes. The yellow markings in the sidebar mean that the classes are imported but not used in the code, where normally, if I hadn't removed "ct.sym", I would have seen red error marking instead, and the code wouldn't have compiled. Note: I've tried setting "-XDignore.symbol.file" in "netbeans.conf" and in other places, but so far haven't got that to work. Simply deleting the "ct.sym" file (or back it up somewhere and put it back when needed) is quite clearly the most straightforward solution. Ultimately, if you want to be able to use those internal classes while still having portable code, do you know what you need to do? You need to create a JDK bug report stating that you need an internal class to be added to "ct.sym". Probably you'll get a motivation back stating WHY that internal class isn't supposed to be used externally. There must be a reason why those classes aren't available for external usage, otherwise they would have been added to "ct.sym". So, now the only remaining question is why the Eclipse compiler doesn't hide the internal JDK classes. Apparently the Eclipse compiler ignores the "ct.sym" file. In other words, at the end of the day, far from being a bug in NetBeans... we have now found a (pretty enormous, I reckon) bug in Eclipse. The Eclipse compiler does not protect you from using internal JDK classes and the code that you create in Eclipse may not work with future releases of the JDK, since the JDK team is simply going to be changing those classes that are not found in the "ct.sym" file while assuming (correctly, thanks to the presence of "ct.sym" mechanism) that no code in the world, other than JDK code, is tied to those classes.

    Read the article

< Previous Page | 472 473 474 475 476 477 478 479 480 481 482 483  | Next Page >