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  • python-wordmatching

    - by challarao
    Write two functions, called countSubStringMatch and countSubStringMatchRecursive that take two arguments, a key string and a target string. These functions iteratively and recursively count the number of instances of the key in the target string. You should complete definitions for def countSubStringMatch(target,key): and def countSubStringMatchRecursive (target, key): For the remaining problems, we are going to explore other substring matching ideas. These problems can be solved with either an iterative function or a recursive one. You are welcome to use either approach, though you may find iterative approaches more intuitive in these cases of matching linear structures.

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  • How to check successful copy() function execution in php?

    - by OM The Eternity
    How to check successful copy() function execution in php? I am using the following code: <? function full_copy( $source, $target ) { if ( is_dir( $source ) ) { @mkdir( $target ); $d = dir( $source ); while ( FALSE !== ( $entry = $d->read() ) ) { if ( $entry == '.' || $entry == '..' ) { continue; } $Entry = $source . '/' . $entry; if ( is_dir( $Entry ) ) { full_copy( $Entry, $target . '/' . $entry ); continue; } copy( $Entry, $target . '/' . $entry ); } $d->close(); }else { copy( $source, $target ); } } $source ='.'; $destination = '/html/parth/'; full_copy($source, $destination); ?> I do not get anything in my parth folder. Why? I am using Windows, Script is executed on fedora system (its my server)...

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  • compare two characters based on subset

    - by schultem
    I have a simple dataframe with two columns: df <- data.frame(x = c(1,1,2,2,3), y = c(rep(1:2,2),1), target = c('a','a','a','b','a')) I would like to compare the strings in the target column (find out whether they are equal or not, i.e., TRUE or FALSE) within every level of x (same number for x). First I would like to compare lines 1 and 2, then 3 and 4 ... My problem is that I am missing some comparisons, for example, line 5 has only one case instead of two - so it should turn out to be FALSE. Variable y indicates the first and second case within x. I played around with ddply doing something like: ddply(df, .(x), summarise, ifelse(as.character(df[df$y == '1',]$target), as.character(df[df$y == '2',]$target),0,1)) which is ugly ... and does not work ... Any insights how I could achieve this comparison? Thanks

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  • OWB 11gR2 - Early Arriving Facts

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

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  • CodePlex Daily Summary for Monday, May 10, 2010

    CodePlex Daily Summary for Monday, May 10, 2010New ProjectsAzure Publish-Subscribe: Infrastructure implementing the publish-subscribe pattern in a Windows Azure context. The unit of publishing is an XML document with an optional l...Bakalarska prace SCSF: This work dealing with the technology of Microsoft Software Factories which makes possible an efficient development of applications under MS Windows.Begtostudy-Test: NoteExpress User Tool (NEUT) is a opensource project for NoteExpress user developpers to share their tools and ideas using secondary development. N...CodeReview: Code Review is an open source development tool based on the same approach than FxCop - check the compiled assemblies to enforce good practices rule...CommonFilter: CommonFilter is a subset of the CommonData project, containing just the functions and unit tests for filtering user input.Custom SharepointDesigner Actions: These are a couple of custom actions that i use in sharepoint designer to ease workflow creation.Customer Portal Accelerator for Microsoft Dynamics CRM: The Customer Portal accelerator for Microsoft Dynamics CRM provides businesses the ability to deliver portal capabilities to their customers while ...Danzica Asset Management System: Danzica is an asset management system written in C# that can ingest all of your hardware management systems into a single cohesive portal, giving y...Dot2Silverlight: Dot2Silverlight is a project thats enables to render graphs (written in Dot format) in Silverlight. dot2silverlight, dot, silverlight, C#, graphviz...eGrid_Windows7: This project will include a new platform independent version of the eGrid project. The new version will run on windows 7, using WPF 4 and the Surfa...Game project JAMK: game project on jamkHamcast for multi station coordination: Amateur Radio multiple station operation tends to have loggers and operators striving to get particular information from each other, like what IP a...Headspring Labs: Headspring Labs showcases presentations, samples, and starter kits developed by Headspring.Hongrui Software Development Management Platform: Hongrui Software Development Management Platform 鸿瑞软件开发管理平台(HrSDMP) LinkField: 带有链接的多列 Field migre.me plugin for Seesmic Desktop Platform: migre.me is a brazilian service created to reduces the size of URLs and provides tracking data for shortened links. migre.me plugin for Seesmic ...MISAO: MISAO is a presentation tool.Mongodb Management Studio: Mongodb Management Studio makes it easier for mongodb users (including DBA/Developers/Administrators) to use mongodb. It's developed in ASP.NET 4.0...MS Build for DotNetNuke module development: Automate the task of creating DotNetNuke module PA packs easily using MS Build. Create manifest files, include version #'s automatically and more.Rubyish: C# extensions providing a rubyish syntax to C#SharePoint 2007 Web Parts: The goal of this project is to develop a set of web parts for SharePoint 2007.SharePoint 2010 Web Parts: The goal of this project is to develop a set of web parts for SharePoint 2010.Taxomatic: Taxomatic adds the ability to bulk create Content Types and Columns to a SharePoint site collection. It also caters for the export of the Content T...trackuda: trackuda - track the motion!Web Camera Shooter: Small tool for taking screenshots from web camera and saving them to disk with few image filters as options.Windows API Code Pack Contrib: Extensions to Windows API Code PackNew ReleasesAlan Platform: Technical Preview 1: В центре данного релиза интерфейс, точнее не сам интерфейс, а принцип, по которому он построен. Используя парочку предоставленных свойств, можно со...Begtostudy-Test: Test: Don't Download.BFBC2 PRoCon: PRoCon 0.3.5.1: Release Notes ComingCBM-Command: 2010-05-09: Release Notes - 2010-05-09New Features FILE COPYING Changes Removed the Swap Panels functionality to make room for file copying. It's still in th...CBM-Command: 2010-05-10: Release Notes - 2010-05-10New Features Launching PRG Files New color schemes to better match the C128 and C64 platforms Function Keys Changes ...CommonFilter: CommonFilter0.3D: This initial release of CommonFilter 0.3D is a subset of the CommonData solution that contains just the filter functions.Custom SharepointDesigner Actions: Custom SPD Actions v1.0: This is the first version of the actions library, it includes: Calling a Webservice. Convert a string to a double. Convert a string to an integ...Customer Portal Accelerator for Microsoft Dynamics CRM: Customer Portal Accelerator for Dynamics CRM: The Customer Portal accelerator for Microsoft Dynamics CRM provides businesses the ability to deliver portal capabilities to their customers while ...EPiMVC - EPiServer CMS with ASP.NET MVC: EPiMVC CTP1: First release that mainly addresses routing. The release is described in greater detail here.Helium Frog Animator: Helium Frog 2_06SW3: This is a first release (not for end users as it is not packaged) of mods intended to make the program run easier on netbooks and customised for us...HouseFly controls: HouseFly controls alpha 0.9.8.0: HouseFly controls release 0.9.8.0 alphaID3Tag.Net: ID3TagLib.Net 1.1: The ID3Tag team is proud to release a new version of the ID3tag lib! New features: Removing of ID3V1 and ID3V2 tags Logging operations ( if enab...IT Tycoon: IT Tycoon 0.2.1: Switched to .NET Framework 4 and implemented some Parallel.ForEach calls.MeaMod Playme: MeaMod Playme 0.9.6.5 Bucking Bunny: MeaMod Playme 0.9.6.5 Bucking Bunny Version 0.9.6.5 | Change Set: 48050 -- Added Playme Store -- Added Buy Album -- Added OCDS/Core system -- Adde...migre.me plugin for Seesmic Desktop Platform: migre.me plugin 0.7.0.1: Initial release. Compatible with Seesmic Desktop Platform 0.7.0.772.MISAO: Ver. 5 Alpha(2010-05-10): Alpha versionMultiwfn: multiwfn1.3.2_source: multiwfn1.3.2_sourcePocket Wiki: Desktop Wiki (in dev): Full screen wiki for the PC - supports the same parsers that Pocket Wiki does. Currently in development but usable. Left side shows listbox of all ...Rubyish: alpha: intial buildSevenZipLib Library: v9.13 beta: New release to match 7-zip 9.13 betaShake - C# Make: Shake v0.1.11: Initial version of Shake's services (API), command line parameters (dynamic) now available via ShakeServices class. Introducing interfaces and bas...SharpNotes: SharpNotes (New): This is the release of SharpNotes.SharpNotes: SharpNotes Source (New): This is the source release of SharpNotes.StackOverflow Desktop Client in C# and WPF: StackOverflow Client 1.0: Improved UI Showing votes/answers/views on popups. Bug fixesTaxomatic: Design_0: Design documentThe Movie DB API: TMDB API v1.2: Updated to reflect changes in The Movie DB API.Web Camera Shooter: 1.0.0.0: Initial release. Unstable. Often exception AccessViolation from Touchless SDK.WF Personalplaner: Personalplaner v1.7.29.10127: - Drag und Drop wurde beim Plan und in der Maske unter Plan\Plan-Layout anpassen in die Grids eingefügt - Weitere kleine bugfixesWindows Phone 7 Panorama & Pivot controls: panorama + pivot controls v0.7 (samples included): Panorama and Pivot Controls source code + sample projects. - Phone.Controls.Samples : source code for the PanoramaControl and PivotControl. - Pic...XmlCodeEditor: Release 0.9 Alpha: Release 0.9 AlphaMost Popular ProjectsWBFS ManagerRawrAJAX Control ToolkitMicrosoft SQL Server Product Samples: DatabaseSilverlight ToolkitWindows Presentation Foundation (WPF)patterns & practices – Enterprise LibraryMicrosoft SQL Server Community & SamplesASP.NETPHPExcelMost Active Projectspatterns & practices – Enterprise LibraryRawrThe Information Literacy Education Learning Environment (ILE)Mirror Testing SystemCaliburn: An Application Framework for WPF and SilverlightjQuery Library for SharePoint Web Serviceswhitepatterns & practices - UnityTweetSharpBlogEngine.NET

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  • How to tell if SPARC T4 crypto is being used?

    - by danx
    A question that often comes up when running applications on SPARC T4 systems is "How can I tell if hardware crypto accleration is being used?" To review, the SPARC T4 processor includes a crypto unit that supports several crypto instructions. For hardware crypto these include 11 AES instructions, 4 xmul* instructions (for AES GCM carryless multiply), mont for Montgomery multiply (optimizes RSA and DSA), and 5 des_* instructions (for DES3). For hardware hash algorithm optimization, the T4 has the md5, sha1, sha256, and sha512 instructions (the last two are used for SHA-224 an SHA-384). First off, it's easy to tell if the processor T4 crypto instructions—use the isainfo -v command and look for "sparcv9" and "aes" (and other hash and crypto algorithms) in the output: $ isainfo -v 64-bit sparcv9 applications crc32c cbcond pause mont mpmul sha512 sha256 sha1 md5 camellia kasumi des aes ima hpc vis3 fmaf asi_blk_init vis2 vis popc These instructions are not-privileged, so are available for direct use in user-level applications and libraries (such as OpenSSL). Here is the "openssl speed -evp" command shown with the built-in t4 engine and with the pkcs11 engine. Both run the T4 AES instructions, but the t4 engine is faster than the pkcs11 engine because it has less overhead (especially for smaller packet sizes): t-4 $ /usr/bin/openssl version OpenSSL 1.0.0j 10 May 2012 t-4 $ /usr/bin/openssl engine (t4) SPARC T4 engine support (dynamic) Dynamic engine loading support (pkcs11) PKCS #11 engine support t-4 $ /usr/bin/openssl speed -evp aes-128-cbc # t4 engine used by default . . . The 'numbers' are in 1000s of bytes per second processed. type 16 bytes 64 bytes 256 bytes 1024 bytes 8192 bytes aes-128-cbc 487777.10k 816822.21k 986012.59k 1017029.97k 1053543.08k t-4 $ /usr/bin/openssl speed -engine pkcs11 -evp aes-128-cbc engine "pkcs11" set. . . . The 'numbers' are in 1000s of bytes per second processed. type 16 bytes 64 bytes 256 bytes 1024 bytes 8192 bytes aes-128-cbc 31703.58k 116636.39k 350672.81k 696170.50k 993599.49k Note: The "-evp" flag indicates use the OpenSSL "EnVeloPe" API, which gives more accurate results. That's because it tells OpenSSL to use the same API that external programs use when calling OpenSSL libcrypto functions, evp(3openssl). DTrace Shows if T4 Crypto Functions Are Used OK, good enough, the isainfo(1) command shows the instructions are present, but how does one know if they are being used? Chi-Chang Lin, who works on Oracle Solaris performance, wrote a Dtrace script to show if T4 instructions are being executed. To show the T4 instructions are being used, run the following Dtrace script. Look for functions named "t4" and "yf" in the output. The OpenSSL T4 engine uses functions named "t4" and the PKCS#11 engine uses functions named "yf". To demonstrate, I'll first run "openssl speed" with the built-in t4 engine then with the pkcs11 engine. The performance numbers are not valid due to dtrace probes slowing things down. t-4 # dtrace -Z -n ' pid$target::*yf*:entry,pid$target::*t4_*:entry{ @[probemod, probefunc] = count();}' \ -c "/usr/bin/openssl speed -evp aes-128-cbc" dtrace: description 'pid$target::*yf*:entry' matched 101 probes . . . dtrace: pid 2029 has exited libcrypto.so.1.0.0 ENGINE_load_t4 1 libcrypto.so.1.0.0 t4_DH 1 libcrypto.so.1.0.0 t4_DSA 1 libcrypto.so.1.0.0 t4_RSA 1 libcrypto.so.1.0.0 t4_destroy 1 libcrypto.so.1.0.0 t4_free_aes_ctr_NIDs 1 libcrypto.so.1.0.0 t4_init 1 libcrypto.so.1.0.0 t4_add_NID 3 libcrypto.so.1.0.0 t4_aes_expand128 5 libcrypto.so.1.0.0 t4_cipher_init_aes 5 libcrypto.so.1.0.0 t4_get_all_ciphers 6 libcrypto.so.1.0.0 t4_get_all_digests 59 libcrypto.so.1.0.0 t4_digest_final_sha1 65 libcrypto.so.1.0.0 t4_digest_init_sha1 65 libcrypto.so.1.0.0 t4_sha1_multiblock 126 libcrypto.so.1.0.0 t4_digest_update_sha1 261 libcrypto.so.1.0.0 t4_aes128_cbc_encrypt 1432979 libcrypto.so.1.0.0 t4_aes128_load_keys_for_encrypt 1432979 libcrypto.so.1.0.0 t4_cipher_do_aes_128_cbc 1432979 t-4 # dtrace -Z -n 'pid$target::*yf*:entry{ @[probemod, probefunc] = count();}   pid$target::*yf*:entry,pid$target::*t4_*:entry{ @[probemod, probefunc] = count();}' \ -c "/usr/bin/openssl speed -engine pkcs11 -evp aes-128-cbc" dtrace: description 'pid$target::*yf*:entry' matched 101 probes engine "pkcs11" set. . . . dtrace: pid 2033 has exited libcrypto.so.1.0.0 ENGINE_load_t4 1 libcrypto.so.1.0.0 t4_DH 1 libcrypto.so.1.0.0 t4_DSA 1 libcrypto.so.1.0.0 t4_RSA 1 libcrypto.so.1.0.0 t4_destroy 1 libcrypto.so.1.0.0 t4_free_aes_ctr_NIDs 1 libcrypto.so.1.0.0 t4_get_all_ciphers 1 libcrypto.so.1.0.0 t4_get_all_digests 1 libsoftcrypto.so.1 rijndael_key_setup_enc_yf 1 libsoftcrypto.so.1 yf_aes_expand128 1 libcrypto.so.1.0.0 t4_add_NID 3 libsoftcrypto.so.1 yf_aes128_cbc_encrypt 1542330 libsoftcrypto.so.1 yf_aes128_load_keys_for_encrypt 1542330 So, as shown above the OpenSSL built-in t4 engine executes t4_* functions (which are hand-coded assembly executing the T4 AES instructions) and the OpenSSL pkcs11 engine executes *yf* functions. Programmatic Use of OpenSSL T4 engine The OpenSSL t4 engine is used automatically with the /usr/bin/openssl command line. Chi-Chang Lin also points out that if you're calling the OpenSSL API (libcrypto.so) from a program, you must call ENGINE_load_built_engines(), otherwise the built-in t4 engine will not be loaded. You do not call ENGINE_set_default(). That's because "openssl speed -evp" test calls ENGINE_load_built_engines() even though the "-engine" option wasn't specified. OpenSSL T4 engine Availability The OpenSSL t4 engine is available with Solaris 11 and 11.1. For Solaris 10 08/11 (U10), you need to use the OpenSSL pkcs311 engine. The OpenSSL t4 engine is distributed only with the version of OpenSSL distributed with Solaris (and not third-party or self-compiled versions of OpenSSL). The OpenSSL engine implements the AES cipher for Solaris 11, released 11/2011. For Solaris 11.1, released 11/2012, the OpenSSL engine adds optimization for the MD5, SHA-1, and SHA-2 hash algorithms, and DES-3. Although the T4 processor has Camillia and Kasumi block cipher instructions, these are not implemented in the OpenSSL T4 engine. The following charts may help view availability of optimizations. The first chart shows what's available with Solaris CLIs and APIs, the second chart shows what's available in Solaris OpenSSL. Native Solaris Optimization for SPARC T4 This table is shows Solaris native CLI and API support. As such, they are all available with the OpenSSL pkcs11 engine. CLIs: "openssl -engine pkcs11", encrypt(1), decrypt(1), mac(1), digest(1), MD5sum(1), SHA1sum(1), SHA224sum(1), SHA256sum(1), SHA384sum(1), SHA512sum(1) APIs: PKCS#11 library libpkcs11(3LIB) (incluDES Openssl pkcs11 engine), libMD(3LIB), and Solaris kernel modules AlgorithmSolaris 1008/11 (U10)Solaris 11Solaris 11.1 AES-ECB, AES-CBC, AES-CTR, AES-CBC AES-CFB128 XXX DES3-ECB, DES3-CBC, DES2-ECB, DES2-CBC, DES-ECB, DES-CBC XXX bignum Montgomery multiply (RSA, DSA) XXX MD5, SHA-1, SHA-256, SHA-384, SHA-512 XXX SHA-224 X ARCFOUR (RC4) X Solaris OpenSSL T4 Engine Optimization This table is for the Solaris OpenSSL built-in t4 engine. Algorithms listed above are also available through the OpenSSL pkcs11 engine. CLI: openssl(1openssl) APIs: openssl(5), engine(3openssl), evp(3openssl), libcrypto crypto(3openssl) AlgorithmSolaris 11Solaris 11SRU2Solaris 11.1 AES-ECB, AES-CBC, AES-CTR, AES-CBC AES-CFB128 XXX DES3-ECB, DES3-CBC, DES-ECB, DES-CBC X bignum Montgomery multiply (RSA, DSA) X MD5, SHA-1, SHA-256, SHA-384, SHA-512 XX SHA-224 X Source Code Availability Solaris Most of the T4 assembly code that called the new T4 crypto instructions was written by Ferenc Rákóczi of the Solaris Security group, with assistance from others. You can download the Solaris source for this and other parts of Solaris as a few zip files at the Oracle Download website. The relevant source files are generally under directories usr/src/common/crypto/{aes,arcfour,des,md5,modes,sha1,sha2}}/sun4v/. and usr/src/common/bignum/sun4v/. Solaris 11 binary is available from the Oracle Solaris 11 download website. OpenSSL t4 engine The source for the OpenSSL t4 engine, which is based on the Solaris source above, is viewable through the OpenGrok source code browser in directory src/components/openssl/openssl-1.0.0/engines/t4 . You can download the source from the same website or through Mercurial source code management, hg(1). Conclusion Oracle Solaris with SPARC T4 provides a rich set of accelerated cryptographic and hash algorithms. Using the latest update, Solaris 11.1, provides the best set of optimized algorithms, but alternatives are often available, sometimes slightly slower, for releases back to Solaris 10 08/11 (U10). Reference See also these earlier blogs. SPARC T4 OpenSSL Engine by myself, Dan Anderson (2011), discusses the Openssl T4 engine and reviews the SPARC T4 processor for the Solaris 11 release. Exciting Crypto Advances with the T4 processor and Oracle Solaris 11 by Valerie Fenwick (2011) discusses crypto algorithms that were optimized for the T4 processor with the Solaris 11 FCS (11/11) and Solaris 10 08/11 (U10) release. T4 Crypto Cheat Sheet by Stefan Hinker (2012) discusses how to make T4 crypto optimization available to various consumers (such as SSH, Java, OpenSSL, Apache, etc.) High Performance Security For Oracle Database and Fusion Middleware Applications using SPARC T4 (PDF, 2012) discusses SPARC T4 and its usage to optimize application security. Configuring Oracle iPlanet WebServer / Oracle Traffic Director to use crypto accelerators on T4-1 servers by Meena Vyas (2012)

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  • Introduction to Extended Events

    - by extended_events
    For those fighting with all the Extended Event terminology, let's step back and have a small overall Introduction to Extended Events. This post will give you a simplified end to end view through some of the elements in Extended Events. Before we start, let’s review the first Extented Events that we are going to use: -          Events: The SQL Server code is populated with event calls that, by default, are disabled. Adding events to a session enables those event calls. Once enabled, they will execute the set of functionality defined by the session. -          Target: This is an Extended Event Object that can be used to log event information. Also it is important to understand the following Extended Event concept: -          Session: Server Object created by the user that defines functionality to be executed every time a set of events happen.   It’s time to write a small “Hello World” using Extended Events. This will help understand the above terms. We will use: -          Event sqlserver. error_reported: This event gets fired every time that an error happens in the server. -          Target package0.asynchronous_file_target: This target stores the event data in disk. -          Session: We will create a session that sends all the error_reported events to the ring buffer. Before we get started, a quick note: Don’t run this script in a production environment. Even though, we are going just going to be raise very low severity user errors, we don't want to introduce noise in our servers. -- TRIES TO ELIMINATE PREVIOUS SESSIONS BEGIN TRY       DROP EVENT SESSION test_session ON SERVER END TRY BEGIN CATCH END CATCH GO   -- CREATES THE SESSION CREATE EVENT SESSION test_session ON SERVER ADD EVENT sqlserver.error_reported ADD TARGET package0.asynchronous_file_target -- CONFIGURES THE FILE TARGET (set filename = 'c:\temp\data1.xel' , metadatafile = 'c:\temp\data1.xem') GO   -- STARTS THE SESSION ALTER EVENT SESSION test_session ON SERVER STATE = START GO   -- GENERATES AN ERROR RAISERROR (N'HELLO WORLD', -- Message text.            1, -- Severity,            1, 7, 3, N'abcde'); -- Other parameters GO   -- STOPS LISTENING FOR THE EVENT ALTER EVENT SESSION test_session ON SERVER STATE = STOP GO   -- REMOVES THE EVENT SESSION FROM THE SERVER DROP EVENT SESSION test_session ON SERVER GO -- REMOVES THE EVENT SESSION FROM THE SERVER select CAST(event_data as XML) as event_data from sys.fn_xe_file_target_read_file ('c:\temp\data1*.xel','c:\temp\data1*.xem', null, null) This query will output the event data with our first hello world in the Extended Event format: <event name="error_reported" package="sqlserver" id="100" version="1" timestamp="2010-02-27T03:08:04.210Z"><data name="error"><value>50000</value><text /></data><data name="severity"><value>1</value><text /></data><data name="state"><value>1</value><text /></data><data name="user_defined"><value>true</value><text /></data><data name="message"><value>HELLO WORLD</value><text /></data></event> More on parsing event data in this post: Reading event data 101 Now let's move that lets move on to the other three Extended Event objects: -          Actions. This Extended Objects actions get executed before events are published (stored in buffers to be transferred to the targets). Currently they are used additional data (like the TSQL Statement related to an event, the session, the user) or generate a mini dump.   -          Predicates: Predicates express are logical expressions that specify what predicates to fire (E.g. only listen to errors with a severity greater than 16). This are composed of two Extended Objects: o   Predicate comparators: Defines an operator for a pair of values. Examples: §  Severity > 16 §  error_message = ‘Hello World!!’ o   Predicate sources: These are values that can be also used by the predicates. They are generic data that isn’t usually provided in the event (similar to the actions). §  Sqlserver.username = ‘Tintin’ As logical expressions they can be combined using logical operators (and, or, not).  Note: This pair always has to be first an event field or predicate source and then a value         Let’s do another small Example. We will trigger errors but we will use the ones that have severity >= 10 and the error message != ‘filter’. To verify this we will use the action sql_text that will attach the sql statement to the event data: -- TRIES TO ELIMINATE PREVIOUS SESSIONS BEGIN TRY       DROP EVENT SESSION test_session ON SERVER END TRY BEGIN CATCH END CATCH GO   -- CREATES THE SESSION CREATE EVENT SESSION test_session ON SERVER ADD EVENT sqlserver.error_reported       (ACTION (sqlserver.sql_text) WHERE severity = 2 and (not (message = 'filter'))) ADD TARGET package0.asynchronous_file_target -- CONFIGURES THE FILE TARGET (set filename = 'c:\temp\data2.xel' , metadatafile = 'c:\temp\data2.xem') GO   -- STARTS THE SESSION ALTER EVENT SESSION test_session ON SERVER STATE = START GO   -- THIS EVENT WILL BE FILTERED BECAUSE SEVERITY != 2 RAISERROR (N'PUBLISH', 1, 1, 7, 3, N'abcde'); GO -- THIS EVENT WILL BE FILTERED BECAUSE MESSAGE = 'FILTER' RAISERROR (N'FILTER', 2, 1, 7, 3, N'abcde'); GO -- THIS ERROR WILL BE PUBLISHED RAISERROR (N'PUBLISH', 2, 1, 7, 3, N'abcde'); GO   -- STOPS LISTENING FOR THE EVENT ALTER EVENT SESSION test_session ON SERVER STATE = STOP GO   -- REMOVES THE EVENT SESSION FROM THE SERVER DROP EVENT SESSION test_session ON SERVER GO -- REMOVES THE EVENT SESSION FROM THE SERVER select CAST(event_data as XML) as event_data from sys.fn_xe_file_target_read_file ('c:\temp\data2*.xel','c:\temp\data2*.xem', null, null)   This last statement will output one event with the following data: <event name="error_reported" package="sqlserver" id="100" version="1" timestamp="2010-03-05T23:15:05.481Z">   <data name="error">     <value>50000</value>     <text />   </data>   <data name="severity">     <value>2</value>     <text />   </data>   <data name="state">     <value>1</value>     <text />   </data>   <data name="user_defined">     <value>true</value>     <text />   </data>   <data name="message">     <value>PUBLISH</value>     <text />   </data>   <action name="sql_text" package="sqlserver">     <value>-- THIS ERROR WILL BE PUBLISHED RAISERROR (N'PUBLISH', 2, 1, 7, 3, N'abcde'); </value>     <text />   </action> </event> If you see more events, check if you have deleted previous event files. If so, please run   -- Deletes previous event files EXEC SP_CONFIGURE GO EXEC SP_CONFIGURE 'xp_cmdshell', 1 GO RECONFIGURE GO XP_CMDSHELL 'del c:\temp\data*.xe*' GO   or delete them manually.   More Info on Events: Extended Event Events More Info on Targets: Extended Event Targets More Info on Sessions: Extended Event Sessions More Info on Actions: Extended Event Actions More Info on Predicates: Extended Event Predicates Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Kernel panic when bringing up DRBD resource

    - by sc.
    I'm trying to set up two machines synchonizing with DRBD. The storage is setup as follows: PV - LVM - DRBD - CLVM - GFS2. DRBD is set up in dual primary mode. The first server is set up and running fine in primary mode. The drives on the first server have data on them. I've set up the second server and I'm trying to bring up the DRBD resources. I created all the base LVM's to match the first server. After initializing the resources with `` drbdadm create-md storage I'm bringing up the resources by issuing drbdadm up storage After issuing that command, I get a kernel panic and the server reboots in 30 seconds. Here's a screen capture. My configuration is as follows: OS: CentOS 6 uname -a Linux host.structuralcomponents.net 2.6.32-279.5.2.el6.x86_64 #1 SMP Fri Aug 24 01:07:11 UTC 2012 x86_64 x86_64 x86_64 GNU/Linux rpm -qa | grep drbd kmod-drbd84-8.4.1-2.el6.elrepo.x86_64 drbd84-utils-8.4.1-2.el6.elrepo.x86_64 cat /etc/drbd.d/global_common.conf global { usage-count yes; # minor-count dialog-refresh disable-ip-verification } common { handlers { pri-on-incon-degr "/usr/lib/drbd/notify-pri-on-incon-degr.sh; /usr/lib/drbd/notify-emergency-reboot.sh; echo b /proc/sysrq-trigger ; reboot -f"; pri-lost-after-sb "/usr/lib/drbd/notify-pri-lost-after-sb.sh; /usr/lib/drbd/notify-emergency-reboot.sh; echo b /proc/sysrq-trigger ; reboot -f"; local-io-error "/usr/lib/drbd/notify-io-error.sh; /usr/lib/drbd/notify-emergency-shutdown.sh; echo o /proc/sysrq-trigger ; halt -f"; # fence-peer "/usr/lib/drbd/crm-fence-peer.sh"; # split-brain "/usr/lib/drbd/notify-split-brain.sh root"; # out-of-sync "/usr/lib/drbd/notify-out-of-sync.sh root"; # before-resync-target "/usr/lib/drbd/snapshot-resync-target-lvm.sh -p 15 -- -c 16k"; # after-resync-target /usr/lib/drbd/unsnapshot-resync-target-lvm.sh; } startup { # wfc-timeout degr-wfc-timeout outdated-wfc-timeout wait-after-sb become-primary-on both; wfc-timeout 30; degr-wfc-timeout 10; outdated-wfc-timeout 10; } options { # cpu-mask on-no-data-accessible } disk { # size max-bio-bvecs on-io-error fencing disk-barrier disk-flushes # disk-drain md-flushes resync-rate resync-after al-extents # c-plan-ahead c-delay-target c-fill-target c-max-rate # c-min-rate disk-timeout } net { # protocol timeout max-epoch-size max-buffers unplug-watermark # connect-int ping-int sndbuf-size rcvbuf-size ko-count # allow-two-primaries cram-hmac-alg shared-secret after-sb-0pri # after-sb-1pri after-sb-2pri always-asbp rr-conflict # ping-timeout data-integrity-alg tcp-cork on-congestion # congestion-fill congestion-extents csums-alg verify-alg # use-rle protocol C; allow-two-primaries yes; after-sb-0pri discard-zero-changes; after-sb-1pri discard-secondary; after-sb-2pri disconnect; } } cat /etc/drbd.d/storage.res resource storage { device /dev/drbd0; meta-disk internal; on host.structuralcomponents.net { address 10.10.1.120:7788; disk /dev/vg_storage/lv_storage; } on host2.structuralcomponents.net { address 10.10.1.121:7788; disk /dev/vg_storage/lv_storage; } /var/log/messages is not logging anything about the crash. I've been trying to find a cause of this but I've come up with nothing. Can anyone help me out? Thanks.

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  • http request via iptables --to-destination ip redirect results in no response

    - by Wouter Vegter
    I have two Ubuntu servers with each having their own ip addresses. Let's call them server1 and server2, having respectively ip 1.1.1.1 and 2.2.2.2 I have a nginx running on server2. The sole purpose I want server1 to have is to redirect all incoming http (so port 80) requests to server2 without clients noticing that their request is being redirected. I tried the following command on server1: iptables -t nat -A PREROUTING -p tcp --dport 80 -j DNAT --to-destination 2.2.2.2 But when I enter 1.1.1.1 in my browser I get no respond: the page keeps trying to load without giving any message or error message (I get a time-out after 2-3 mins). But when I do remove the above iptables rule I immediately do get a "page not found error" when I enter 1.1.1.1 in my browser; so something is working but not as it should: when I enter 1.1.1.1 I want the html page to load that is hosted on 2.2.2.2 Because when i enter 2.2.2.2 in my browser I do see the webpage loaded. Could anyone please help me with this? I am searching quite some time (on severfault & Google) on this now so that's why I ask. Many thanks for reading my question! Update: Thank you all for you information. Unfortunately I still get no response I have the following iptables configuration: root@ip-10-48-238-216:/home/ubuntu# sudo iptables -L Chain INPUT (policy ACCEPT) target prot opt source destination Chain FORWARD (policy ACCEPT) target prot opt source destination Chain OUTPUT (policy ACCEPT) target prot opt source destination root@ip-10-48-238-216:/home/ubuntu# sudo iptables -t nat -L Chain PREROUTING (policy ACCEPT) target prot opt source destination DNAT tcp -- anywhere anywhere tcp dpt:www to:2.2.2.2 Chain OUTPUT (policy ACCEPT) target prot opt source destination Chain POSTROUTING (policy ACCEPT) target prot opt source destination When i run tcpdump and do request via chrome to 1.1.1.1 i get the following root@ip-10-48-238-216:/home/ubuntu# sudo tcpdump -i eth0 port 80 -vv tcpdump: listening on eth0, link-type EN10MB (Ethernet), capture size 65535 bytes 13:56:18.346625 IP (tos 0x0, ttl 52, id 12055, offset 0, flags [DF], proto TCP (6), length 60) 212-123-161-112.ip.telfort.nl.16386 ip-10-48-238-216.eu-west-1.compute.internal.www: Flags [S], cksum 0xb398 (correct), seq 2639758575, win 5840, options [mss 1460,sackOK,TS val 1223672 ecr 0,nop,wscale 6], length 0 13:56:18.346662 IP (tos 0x0, ttl 51, id 12055, offset 0, flags [DF], proto TCP (6), length 60) 212-123-161-112.ip.telfort.nl.16386 ww1dc1.shopreme.com.www: Flags [S], cksum 0x9ee0 (correct), seq 2639758575, win 5840, options [mss 1460,sackOK,TS val 1223672 ecr 0,nop,wscale 6], length 0 13:56:18.598747 IP (tos 0x0, ttl 52, id 10138, offset 0, flags [DF], proto TCP (6), length 60) 212-123-161-112.ip.telfort.nl.16387 ip-10-48-238-216.eu-west-1.compute.internal.www: Flags [S], cksum 0xac40 (correct), seq 2645658541, win 5840, options [mss 1460,sackOK,TS val 1223735 ecr 0,nop,wscale 6], length 0 13:56:18.598777 IP (tos 0x0, ttl 51, id 10138, offset 0, flags [DF], proto TCP (6), length 60) 212-123-161-112.ip.telfort.nl.16387 ww1dc1.shopreme.com.www: Flags [S], cksum 0x9788 (correct), seq 2645658541, win 5840, options [mss 1460,sackOK,TS val 1223735 ecr 0,nop,wscale 6], length 0 ^C 4 packets captured 4 packets received by filter 0 packets dropped by kernel the mentioned address relate to the following 212-123-161-112.ip.telfort.nl.16386 : my personal computer ww1dc1.shopreme.com.www : dns of server2 (2.2.2.2) ip-10-48-238-216.eu-west-1.compute.internal.www : amazon web services ec2 internal address of server1 (1.1.1.1) However, the tcpdump log on server2 (2.2.2.2) stays empty and I get no response back in my browser. I am able to ping from server1 to server2. And net.ipv4.ip_forward is set to 1 and so is /proc/sys/net/ipv4/ip_forward Could there be anything else that is missing?

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  • Since upgrading to Solaris 11, my ARC size has consistently targeted 119MB, despite having 30GB RAM. What? Why?

    - by growse
    I ran a NAS/SAN box on Solaris 11 Express before Solaris 11 was released. The box is an HP X1600 with an attached D2700. In all, 12x 1TB 7200 SATA disks, 12x 300GB 10k SAS disks in separate zpools. Total RAM is 30GB. Services provided are CIFS, NFS and iSCSI. All was well, and I had a ZFS memory usage graph looking like this: A fairly healthy Arc size of around 23GB - making use of the available memory for caching. However, I then upgraded to Solaris 11 when that came out. Now, my graph looks like this: Partial output of arc_summary.pl is: System Memory: Physical RAM: 30701 MB Free Memory : 26719 MB LotsFree: 479 MB ZFS Tunables (/etc/system): ARC Size: Current Size: 915 MB (arcsize) Target Size (Adaptive): 119 MB (c) Min Size (Hard Limit): 64 MB (zfs_arc_min) Max Size (Hard Limit): 29677 MB (zfs_arc_max) It's targetting 119MB while sitting at 915MB. It's got 30GB to play with. Why? Did they change something? Edit To clarify, arc_summary.pl is Ben Rockwood's, and the relevent lines generating the above stats are: my $mru_size = ${Kstat}->{zfs}->{0}->{arcstats}->{p}; my $target_size = ${Kstat}->{zfs}->{0}->{arcstats}->{c}; my $arc_min_size = ${Kstat}->{zfs}->{0}->{arcstats}->{c_min}; my $arc_max_size = ${Kstat}->{zfs}->{0}->{arcstats}->{c_max}; my $arc_size = ${Kstat}->{zfs}->{0}->{arcstats}->{size}; The Kstat entries are there, I'm just getting odd values out of them. Edit 2 I've just re-measured the arc size with arc_summary.pl - I've verified these numbers with kstat: System Memory: Physical RAM: 30701 MB Free Memory : 26697 MB LotsFree: 479 MB ZFS Tunables (/etc/system): ARC Size: Current Size: 744 MB (arcsize) Target Size (Adaptive): 119 MB (c) Min Size (Hard Limit): 64 MB (zfs_arc_min) Max Size (Hard Limit): 29677 MB (zfs_arc_max) The thing that strikes me is that the Target Size is 119MB. Looking at the graph, it's targeted the exact same value (124.91M according to cacti, 119M according to arc_summary.pl - think the difference is just 1024/1000 rounding issues) ever since Solaris 11 was installed. It looks like the kernel's making zero effort to shift the target size to anything different. The current size is fluctuating as the needs of the system (large) fight with the target size, and it appears equilibrium is between 700 and 1000MB. So the question is now a little more pointed - why is Solaris 11 hard setting my ARC target size to 119MB, and how do I change it? Should I raise the min size to see what happens? I've stuck the output of kstat -n arcstats over at http://pastebin.com/WHPimhfg Edit 3 Ok, weirdness now. I know flibflob mentioned that there was a patch to fix this. I haven't applied this patch yet (still sorting out internal support issues) and I've not applied any other software updates. Last thursday, the box crashed. As in, completely stopped responding to everything. When I rebooted it, it came back up fine, but here's what my graph now looks like. It seems to have fixed the problem. This is proper la la land stuff now. I've literally no idea what's going on. :(

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  • Axis Aligned Billboard: how to make the object look at camera

    - by user19787
    I am trying to make an Axis Aligned Billboard with Pyglet. I have looked at several tutorials, but they only show me how to get the Up,Right,and Look vectors. So far this is what I have: target = cam.pos look = norm( target - billboard.pos ) right = norm( Vector3(0,1,0)*look ) up = look*right gluLookAt( look.x, look.y, look.z, self.pos.x, self.pos.y, self.pos.z, up.x, up.y, up.z ) This does nothing for me visibly. Any idea what I'm doing wrong?

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  • An Open Letter from Lyle Ekdahl, Group Vice President and General Manager, Oracle's JD Edwards

    - by Brian Dayton
    From Lyle Ekdahl, Group Vice President and General Manager, Oracle's JD Edwards As you may have heard, we recently announced some changes to the way Oracle will offer licensing of technology products with JD Edwards EnterpriseOne. Specifically, we have withdrawn from new sales the product known as JD Edwards EnterpriseOne Technology Foundation ("Blue Stack"). Our motivation for this change is simply to streamline licensing for our customers. Going forward, customers will license Oracle products from Oracle and IBM products from IBM. Customers who are currently licensed for Technology Foundation will continue to receive support--unchanged--through September 30, 2016. This announcement affects how customers license these IBM products; it does not affect Oracle's certification roadmap for IBM products with JD Edwards EnterpriseOne. Customers who are currently running their JD Edwards EnterpriseOne infrastructure using IBM platform components can continue to do so regardless of whether they license these components via Technology Foundation or directly from IBM. New customers choosing to run JD Edwards EnterpriseOne on IBM technology should license JD Edwards EnterpriseOne Core Tools from Oracle while licensing Infrastructure and any licenses of IBM products from IBM. For more information about this announcement, customers should refer to My Oracle Support article 1232453.1 Questions included in the "Frequently Asked Questions" document on My Oracle Support: Is Oracle dropping support for IBM DB2 and IBM WebSphere with JD Edwards EnterpriseOne? No. This announcement affects how customers license these IBM products; it does not affect Oracle's certification roadmap for these products. The JD Edwards EnterpriseOne matrix of supported databases, web servers, and portals remains unchanged, including planned support for IBM DB2, IBM WebSphere Application Server, and IBM WebSphere Portal. Customers who are currently running their JD Edwards EnterpriseOne infrastructure using IBM platform components can continue to do so regardless of whether they license these components via Technology Foundation or directly from IBM. As always, the timing and versions of such third-party certifications remain at Oracle's discretion. Does this announcement mean that Oracle is withdrawing support for JD Edwards EnterpriseOne on the IBM i platform? Absolutely not. JD Edwards EnterpriseOne support on the IBM i platform remains unchanged. This announcement simply states that customers will acquire Oracle products from Oracle and IBM products from IBM. In fact, as evidenced by the recent "IBM i Solution Edition for JD Edwards" offering, IBM and the JD Edwards product teams continue to innovate and offer attractive, cost-competitive solutions to the ERP marketplace. For more information about this offering see: http://www-03.ibm.com/systems/i/advantages/oracle/. I hope this clarifies any concerns. Let me know if you have any additional questions or concerns. -Lyle

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  • Serious about Embedded: Java Embedded @ JavaOne 2012

    - by terrencebarr
    It bears repeating: More than ever, the Java platform is the best technology for many embedded use cases. Java’s platform independence, high level of functionality, security, and developer productivity address the key pain points in building embedded solutions. Transitioning from 16 to 32 bit or even 64 bit? Need to support multiple architectures and operating systems with a single code base? Want to scale on multi-core systems? Require a proven security model? Dynamically deploy and manage software on your devices? Cut time to market by leveraging code, expertise, and tools from a large developer ecosystem? Looking for back-end services, integration, and management? The Java platform has got you covered. Java already powers around 10 billion devices worldwide, with traditional desktops and servers being only a small portion of that. And the ‘Internet of Things‘ is just really starting to explode … it is estimated that within five years, intelligent and connected embedded devices will outnumber desktops and mobile phones combined, and will generate the majority of the traffic on the Internet. Is your platform and services strategy ready for the coming disruptions and opportunities? It should come as no surprise that Oracle is keenly focused on Java for Embedded. At JavaOne 2012 San Francisco the dedicated track for Java ME, Java Card, and Embedded keeps growing, with 52 sessions, tutorials, Hands-on-Labs, and BOFs scheduled for this track alone, plus keynotes, demos, booths, and a variety of other embedded content. To further prove Oracle’s commitment, in 2012 for the first time there will be a dedicated sub-conference focused on the business aspects of embedded Java: Java Embedded @ JavaOne. This conference will run for two days in parallel to JavaOne in San Francisco, will have its own business-oriented track and content, and targets C-level executives, architects, business leaders, and decision makers. Registration and Call For Papers for Java Embedded @ JavaOne are now live. We expect a lot of interest in this new event and space is limited, so be sure to submit your paper and register soon. Hope to see you there! Cheers, – Terrence Filed under: Mobile & Embedded Tagged: ARM, Call for Papers, Embedded Java, Java Embedded, Java Embedded @ JavaOne, Java ME, Java SE Embedded, Java SE for Embedded, JavaOne San Francisco, PowerPC

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  • WebLogic Scripting Tool Tip &ndash; relax the syntax with the easy button

    - by james.bayer
    I stumbled on to this feature in WLST tonight called easeSyntax.  Apparently it’s a hidden feature that one of the WebLogic support engineers blogged about that allows you to simplify the commands in the interactive mode to have fewer parentheses and quotes.  For example, see how some of the commands instead of typing “ls()” I can type '”ls” or “cd(“/somepath”)” can become “cd /somepath”.  It’s not going to save the world, but it will help cut down on some extra typing. The example I was researching when stumbling into this was for how to print the runtime status of deployed application named “hello” on the “AdminServer”.  See the below output. wls:/base_domain/domainConfig> easeSyntax()   You have chosen to ease syntax for some WLST commands. However, the easy syntax should be strictly used in interactive mode. Easy syntax will not function properly in script mode and when used in loops. You can still use the regular jython syntax although you have opted for easy syntax. Use easeSyntax to turn this off. Use help(easeSyntax) for commands that support easy syntax wls:/base_domain/domainConfig> domainRuntime   wls:/base_domain/domainRuntime> ls dr-- AppRuntimeStateRuntime dr-- CoherenceServerLifeCycleRuntimes dr-- ConsoleRuntime dr-- DeployerRuntime dr-- DeploymentManager dr-- DomainServices dr-- LogRuntime dr-- MessageDrivenControlEJBRuntime dr-- MigratableServiceCoordinatorRuntime dr-- MigrationDataRuntimes dr-- PolicySubjectManagerRuntime dr-- SNMPAgentRuntime dr-- ServerLifeCycleRuntimes dr-- ServerRuntimes dr-- ServerServices dr-- ServiceMigrationDataRuntimes   -r-- ActivationTime Wed Dec 15 22:37:02 PST 2010 -r-- MessageDrivenControlEJBRuntime null -r-- MigrationDataRuntimes null -r-- Name base_domain -rw- Parent null -r-- ServiceMigrationDataRuntimes null -r-- Type DomainRuntime   -r-x preDeregister Void : -r-x restartSystemResource Void : WebLogicMBean(weblogic.management.configuration.SystemResourceMBean)   wls:/base_domain/domainRuntime> cd AppRuntimeStateRuntime/AppRuntimeStateRuntime wls:/base_domain/domainRuntime/AppRuntimeStateRuntime/AppRuntimeStateRuntime> ls   -r-- ApplicationIds java.lang.String[active-cache#[email protected], coherence-web-spi#[email protected], coherence#3. -r-- Name AppRuntimeStateRuntime -r-- Type AppRuntimeStateRuntime   -r-x getCurrentState String : String(appid),String(moduleid),String(subModuleId),String(target) -r-x getCurrentState String : String(appid),String(moduleid),String(target) -r-x getCurrentState String : String(appid),String(target) -r-x getIntendedState String : String(appid) -r-x getIntendedState String : String(appid),String(target) -r-x getModuleIds String[] : String(appid) -r-x getModuleTargets String[] : String(appid),String(moduleid) -r-x getModuleTargets String[] : String(appid),String(moduleid),String(subModuleId) -r-x getModuleType String : String(appid),String(moduleid) -r-x getRetireTimeMillis Long : String(appid) -r-x getRetireTimeoutSeconds Integer : String(appid) -r-x getSubmoduleIds String[] : String(appid),String(moduleid) -r-x isActiveVersion Boolean : String(appid) -r-x isAdminMode Boolean : String(appid),String(java.lang.String) -r-x preDeregister Void :   wls:/base_domain/domainRuntime/AppRuntimeStateRuntime/AppRuntimeStateRuntime> cmo.getCurrentState('hello','AdminServer') 'STATE_ACTIVE' wls:/base_domain/domainRuntime/AppRuntimeStateRuntime/AppRuntimeStateRuntime> cd / wls:/base_domain/domainRuntime>

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  • [News] S?rie d'articles sur Silverlight 4 et RIA Services de Brad Abrams

    Brad Abrams, un des co-fondateurs de .NET et de la CLR livre ici une s?rie d'articles tr?s int?ressants sur le couple Silverlight 4 et RIA Services : "I thought it would be worthwhile to highlight some of the key features of the platform and tools that make Silverlight a fantastic platform for building business applications. I?ll avoid gratuitous video and dancing hippos and focus on just the bread and butter of business applications (...)"

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  • Deeper Integration with phpBB

    - by The Official Microsoft IIS Site
    More good news on the Interoperability front: the new phpBB release is now available for installation from the Windows Web Application Gallery and Web Platform Installer (Web PI) for Windows, IIS and SQL Server. Version 3.0.7-PL1 of phpBB takes advantage of a number of features for PHP applications on the Microsoft Web Platform with Windows, IIS and SQL Server, including SQL Server Driver for PHP 1.1 , which provides key interoperability for PHP applications to use SQL Server or SQL Azure for data...(read more)

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  • Don&rsquo;t Forget! In-Memory Databases are Hot

    - by andrewbrust
    If you’re left scratching your head over SAP’s intention to acquire Sybase for almost $6 million, you’re not alone.  Despite Sybase’s 1990s reign as the supreme database standard in certain sectors (including Wall Street), the company’s flagship product has certainly fallen from grace.  Why would SAP pay a greater than 50% premium over Sybase’s closing price on the day of the announcement just to acquire a relational database which is firmly stuck in maintenance mode? Well there’s more to Sybase than the relational database product.  Take, for example, its mobile application platform.  It hit Gartner’s “Leaders’ Quadrant” in January of last year, and SAP needs a good mobile play.  Beyond the platform itself, Sybase has a slew of mobile services; click this link to look them over. There’s a second major asset that Sybase has though, and I wonder if it figured prominently into SAP’s bid: Sybase IQ.  Sybase IQ is a columnar database.  Columnar databases place values from a given database column contiguously, unlike conventional relational databases, which store all of a row’s data in close proximity.  Storing column values together works well in aggregation reporting scenarios, because the figures to be aggregated can be scanned in one efficient step.  It also makes for high rates of compression because values from a single column tend to be close to each other in magnitude and may contain long sequences of repeating values.  Highly compressible databases use much less disk storage and can be largely or wholly loaded into memory, resulting in lighting fast query performance.  For an ERP company like SAP, with its own legacy BI platform (SAP BW) and the entire range of Business Objects and Crystal Reports BI products (which it acquired in 2007) query performance is extremely important. And it’s a competitive necessity too.  QlikTech has built an entire company on a columnar, in-memory BI product (QlikView).  So too has startup company Vertica.  IBM’s TM1 product has been doing in-memory OLAP for years.  And guess who else has the in-memory religion?  Microsoft does, in the form of its new PowerPivot product.  I expect the technology in PowerPivot to become strategic to the full-blown SQL Server Analysis Services product and the entire Microsoft BI stack.  I sure don’t blame SAP for jumping on the in-memory bandwagon, if indeed the Sybase acquisition is, at least in part, motivated by that. It will be interesting to watch and see what SAP does with Sybase’s product line-up (assuming the acquisition closes), including the core database, the mobile platform, IQ, and even tools like PowerBuilder.  It is also fascinating to watch columnar’s encroachment on relational.  Perhaps this acquisition will be columnar’s tipping point and people will no longer see it as a fad.  Are you listening Larry Ellison?

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  • MySQL on Windows - Why, Where and How

    - by bertrand.matthelie(at)oracle.com
    @font-face { font-family: "Arial"; }@font-face { font-family: "Courier New"; }@font-face { font-family: "Wingdings"; }@font-face { font-family: "Cambria"; }p.MsoNormal, li.MsoNormal, div.MsoNormal { margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: "Times New Roman"; }a:link, span.MsoHyperlink { color: blue; text-decoration: underline; }a:visited, span.MsoHyperlinkFollowed { color: purple; text-decoration: underline; }div.Section1 { page: Section1; }ol { margin-bottom: 0cm; }ul { margin-bottom: 0cm; } Over the years Windows has become a major development and deployment platform for MySQL. As a matter of fact, Windows consistently ranks as the #1 development platform in our surveys, and now also ranks higher than any Linux distribution as a deployment platform among MySQL Community Edition users.   We've made various technical resources available in our MySQL on Windows Resource Center including articles, whitepapers and archived webinars. MySQL users are also sharing their experiences and writing how-to articles, and it's great to see former MySQL/Sun/Oracle employees still contributing! Thanks Anders for a recent step-by-step part 1 article on working with MySQL on Windows.   We also got feedback from customers wishing to get higher-level information about MySQL on Windows, to help them and others in their organizations better understand:   ·       Why is the world's most popular open source database so popular on Windows?   ·       What are the applications for which one should consider MySQL on Microsoft's platform?   ·       How should Windows shops relying on Microsoft databases get going with MySQL?   Those are the questions we aim to answer in our guide "MySQL on Windows - Why, Where and How", that you can download here.

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  • SQL SERVER – Automated Type Conversion using Expressor Studio

    - by pinaldave
    Recently I had an interesting situation during my consultation project. Let me share to you how I solved the problem using Expressor Studio. Consider a situation in which you need to read a field, such as customer_identifier, from a text file and pass that field into a database table. In the source file’s metadata structure, customer_identifier is described as a string; however, in the target database table, customer_identifier is described as an integer. Legitimately, all the source values for customer_identifier are valid numbers, such as “109380”. To implement this in an ETL application, you probably would have hard-coded a type conversion function call, such as: output.customer_identifier=stringToInteger(input.customer_identifier) That wasn’t so bad, was it? For this instance, programming this hard-coded type conversion function call was relatively easy. However, hard-coding, whether type conversion code or other business rule code, almost always means that the application containing hard-coded fields, function calls, and values is: a) specific to an instance of use; b) is difficult to adapt to new situations; and c) doesn’t contain many reusable sub-parts. Therefore, in the long run, applications with hard-coded type conversion function calls don’t scale well. In addition, they increase the overall level of effort and degree of difficulty to write and maintain the ETL applications. To get around the trappings of hard-coding type conversion function calls, developers need an access to smarter typing systems. Expressor Studio product offers this feature exactly, by providing developers with a type conversion automation engine based on type abstraction. The theory behind the engine is quite simple. A user specifies abstract data fields in the engine, and then writes applications against the abstractions (whereas in most ETL software, developers develop applications against the physical model). When a Studio-built application is run, Studio’s engine automatically converts the source type to the abstracted data field’s type and converts the abstracted data field’s type to the target type. The engine can do this because it has a couple of built-in rules for type conversions. So, using the example above, a developer could specify customer_identifier as an abstract data field with a type of integer when using Expressor Studio. Upon reading the string value from the text file, Studio’s type conversion engine automatically converts the source field from the type specified in the source’s metadata structure to the abstract field’s type. At the time of writing the data value to the target database, the engine doesn’t have any work to do because the abstract data type and the target data type are just the same. Had they been different, the engine would have automatically provided the conversion. ?Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Database, Pinal Dave, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQLAuthority News, T SQL, Technology Tagged: SSIS

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  • OWB 11gR2 &ndash; Flexible and extensible

    - by David Allan
    The Oracle data integration extensibility capabilities are something I love, nothing more frustrating than a tool or platform that is very constraining. I think extensibility and flexibility are invaluable capabilities in the data integration arena. I liked Uli Bethke's posting on some extensibility capabilities with ODI (see Nesting ODI Substitution Method Calls here), he has some useful guidance on making customizations to existing KMs, nice to learn by example. I thought I'd illustrate the same capabilities with ODI's partner OWB for the OWB community. There is a whole new world of potential. The LKM/IKM/CKM/JKMs are the primary templates that are supported (plus the Oracle Target code template), so there is a lot of potential for customizing and extending the product in this release. Enough waffle... Diving in at the deep end from Uli's post, in OWB the table operator has a number of additional properties in OWB 11gR2 that let you annotate the column usage with ODI-like properties such as the slowly changing usage or for your own user-defined purpose as in Uli's post, below you see for the target table SALES_TARGET we can use the UD5 property which when assigned the code template (knowledge module) which has been modified with Uli's change we can do custom things such as creating indices - provides The code template used by the mapping has the additional step which is basically the code illustrated from Uli's posting just used directly, the ODI 10g substitution references also supported from within OWB's runtime. Now to see whether this does what we expect before we execute it, we can check out the generated code similar to how the traditional mapping generation and preview works, you do this by clicking on the 'Inspect Code' button on the execution units code template assignment. This then  creates another tab with prefix 'Code - <mapping name>' where the generated code is put, scrolling down we find the last step with the indices being created, looks good, so we are ready to deploy and execute. After executing the mapping we can then use the 'Audit Information' panel (select the mapping in the designer tree and click on View/Audit Information), this gives us a view of the execution where we can drill into the tasks that were executed and inspect both the template and the generated code that was executed and any potential errors. Reflecting back on earlier versions of OWB, these were the kinds of features that were always highly desirable, getting under the hood of the code generation and tweaking bit and pieces - fun and powerful stuff! We can step it up a bit here and explore some further ideas. The example below is a daisy-chained set of execution units where the intermediate table is a target of one unit and the source for another. We want that table to be a global temporary table, so can tweak the templates. Back to the copy of SQL Control Append (for demo purposes) we modify the create target table step to make the table a global temporary table, with the option of on commit preserve rows. You can get a feel for some of the customizations and changes possible, providing some great flexibility and extensibility for the data integration tools.

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  • An XEvent a Day (6 of 31) – Targets Week – asynchronous_file_target

    - by Jonathan Kehayias
    Yesterday’s post, Targets Week - ring_buffer , looked at the ring_buffer Target in Extended Events and how it outputs the raw Event data in an XML document.  Today I’m going to go over the details of the other Target in Extended Events that captures raw Event data, the asynchronous_file_target. What is the asynchronous_file_target? The asynchronous_file_target holds the raw format Event data in a proprietary binary file format that persists beyond server restarts and can be provided to another...(read more)

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  • An XEvent a Day (7 of 31) – Targets Week – bucketizers

    - by Jonathan Kehayias
    Yesterday’s post, Targets Week - asynchronous_file_target , looked at the asynchronous_file_target Target in Extended Events and how it outputs the raw Event data in an XML document. Continuing with Targets week today, we’ll look at the bucketizer targets in Extended Events which can be used to group Events based on the Event data that is being returned. What is the bucketizer? The bucketizer performs grouping of Events as they are processed by the target into buckets based on the Event data and...(read more)

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  • SQL – Migrate Database from SQL Server to NuoDB – A Quick Tutorial

    - by Pinal Dave
    Data is growing exponentially and every organization with growing data is thinking of next big innovation in the world of Big Data. Big data is a indeed a future for every organization at one point of the time. Just like every other next big thing, big data has its own challenges and issues. The biggest challenge associated with the big data is to find the ideal platform which supports the scalability and growth of the data. If you are a regular reader of this blog, you must be familiar with NuoDB. I have been working with NuoDB for a while and their recent release is the best thus far. NuoDB is an elastically scalable SQL database that can run on local host, datacenter and cloud-based resources. A key feature of the product is that it does not require sharding (read more here). Last week, I was able to install NuoDB in less than 90 seconds and have explored their Explorer and Admin sections. You can read about my experiences in these posts: SQL – Step by Step Guide to Download and Install NuoDB – Getting Started with NuoDB SQL – Quick Start with Admin Sections of NuoDB – Manage NuoDB Database SQL – Quick Start with Explorer Sections of NuoDB – Query NuoDB Database Many SQL Authority readers have been following me in my journey to evaluate NuoDB. One of the frequently asked questions I’ve received from you is if there is any way to migrate data from SQL Server to NuoDB. The fact is that there is indeed a way to do so and NuoDB provides a fantastic tool which can help users to do it. NuoDB Migrator is a command line utility that supports the migration of Microsoft SQL Server, MySQL, Oracle, and PostgreSQL schemas and data to NuoDB. The migration to NuoDB is a three-step process: NuoDB Migrator generates a schema for a target NuoDB database It loads data into the target NuoDB database It dumps data from the source database Let’s see how we can migrate our data from SQL Server to NuoDB using a simple three-step approach. But before we do that we will create a sample database in MSSQL and later we will migrate the same database to NuoDB: Setup Step 1: Build a sample data CREATE DATABASE [Test]; CREATE TABLE [Department]( [DepartmentID] [smallint] NOT NULL, [Name] VARCHAR(100) NOT NULL, [GroupName] VARCHAR(100) NOT NULL, [ModifiedDate] [datetime] NOT NULL, CONSTRAINT [PK_Department_DepartmentID] PRIMARY KEY CLUSTERED ( [DepartmentID] ASC ) ) ON [PRIMARY]; INSERT INTO Department SELECT * FROM AdventureWorks2012.HumanResources.Department; Note that I am using the SQL Server AdventureWorks database to build this sample table but you can build this sample table any way you prefer. Setup Step 2: Install Java 64 bit Before you can begin the migration process to NuoDB, make sure you have 64-bit Java installed on your computer. This is due to the fact that the NuoDB Migrator tool is built in Java. You can download 64-bit Java for Windows, Mac OSX, or Linux from the following link: http://java.com/en/download/manual.jsp. One more thing to remember is that you make sure that the path in your environment settings is set to your JAVA_HOME directory or else the tool will not work. Here is how you can do it: Go to My Computer >> Right Click >> Select Properties >> Click on Advanced System Settings >> Click on Environment Variables >> Click on New and enter the following values. Variable Name: JAVA_HOME Variable Value: C:\Program Files\Java\jre7 Make sure you enter your Java installation directory in the Variable Value field. Setup Step 3: Install JDBC driver for SQL Server. There are two JDBC drivers available for SQL Server.  Select the one you prefer to use by following one of the two links below: Microsoft JDBC Driver jTDS JDBC Driver In this example we will be using jTDS JDBC driver. Once you download the driver, move the driver to your NuoDB installation folder. In my case, I have moved the JAR file of the driver into the C:\Program Files\NuoDB\tools\migrator\jar folder as this is my NuoDB installation directory. Now we are all set to start the three-step migration process from SQL Server to NuoDB: Migration Step 1: NuoDB Schema Generation Here is the command I use to generate a schema of my SQL Server Database in NuoDB. First I go to the folder C:\Program Files\NuoDB\tools\migrator\bin and execute the nuodb-migrator.bat file. Note that my database name is ‘test’. Additionally my username and password is also ‘test’. You can see that my SQL Server database is running on my localhost on port 1433. Additionally, the schema of the table is ‘dbo’. nuodb-migrator schema –source.driver=net.sourceforge.jtds.jdbc.Driver –source.url=jdbc:jtds:sqlserver://localhost:1433/ –source.username=test –source.password=test –source.catalog=test –source.schema=dbo –output.path=/tmp/schema.sql The above script will generate a schema of all my SQL Server tables and will put it in the folder C:\tmp\schema.sql . You can open the schema.sql file and execute this file directly in your NuoDB instance. You can follow the link here to see how you can execute the SQL script in NuoDB. Please note that if you have not yet created the schema in the NuoDB database, you should create it before executing this step. Step 2: Generate the Dump File of the Data Once you have recreated your schema in NuoDB from SQL Server, the next step is very easy. Here we create a CSV format dump file, which will contain all the data from all the tables from the SQL Server database. The command to do so is very similar to the above command. Be aware that this step may take a bit of time based on your database size. nuodb-migrator dump –source.driver=net.sourceforge.jtds.jdbc.Driver –source.url=jdbc:jtds:sqlserver://localhost:1433/ –source.username=test –source.password=test –source.catalog=test –source.schema=dbo –output.type=csv –output.path=/tmp/dump.cat Once the above command is successfully executed you can find your CSV file in the C:\tmp\ folder. However, you do not have to do anything manually. The third and final step will take care of completing the migration process. Migration Step 3: Load the Data into NuoDB After building schema and taking a dump of the data, the very next step is essential and crucial. It will take the CSV file and load it into the NuoDB database. nuodb-migrator load –target.url=jdbc:com.nuodb://localhost:48004/mytest –target.schema=dbo –target.username=test –target.password=test –input.path=/tmp/dump.cat Please note that in the above script we are now targeting the NuoDB database, which we have already created with the name of “MyTest”. If the database does not exist, create it manually before executing the above script. I have kept the username and password as “test”, but please make sure that you create a more secure password for your database for security reasons. Voila!  You’re Done That’s it. You are done. It took 3 setup and 3 migration steps to migrate your SQL Server database to NuoDB.  You can now start exploring the database and build excellent, scale-out applications. In this blog post, I have done my best to come up with simple and easy process, which you can follow to migrate your app from SQL Server to NuoDB. Download NuoDB I strongly encourage you to download NuoDB and go through my 3-step migration tutorial from SQL Server to NuoDB. Additionally here are two very important blog post from NuoDB CTO Seth Proctor. He has written excellent blog posts on the concept of the Administrative Domains. NuoDB has this concept of an Administrative Domain, which is a collection of hosts that can run one or multiple databases.  Each database has its own TEs and SMs, but all are managed within the Admin Console for that particular domain. http://www.nuodb.com/techblog/2013/03/11/getting-started-provisioning-a-domain/ http://www.nuodb.com/techblog/2013/03/14/getting-started-running-a-database/ Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: NuoDB

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  • Edinburgh this Thurs (25th) - Rob Carrol talks about how to build a high performance, scalable repor

    - by tonyrogerson
    Scottish Area SQL Server User Group Meeting, Edinburgh - Thursday 25th March An evening of SQL Server 2008 Reporting Services Scalability and Performance with Rob Carrol, see how to build a high performance, scalable reporting platform and the tuning techniques required to ensure that report performance remains optimal as your platform grows. Pizza and drinks will be provided! Register at http://www.sqlserverfaq.com/events/221/SQL-Server-2008-Reporting-Services-Scalability-and-Performance.aspx...(read more)

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  • Windows Azure Use Case: Infrastructure Limits

    - by BuckWoody
    This is one in a series of posts on when and where to use a distributed architecture design in your organization's computing needs. You can find the main post here: http://blogs.msdn.com/b/buckwoody/archive/2011/01/18/windows-azure-and-sql-azure-use-cases.aspx  Description: Physical hardware components take up room, use electricity, create heat and therefore need cooling, and require wiring and special storage units. all of these requirements cost money to rent at a data-center or to build out at a local facility. In some cases, this can be a catalyst for evaluating options to remove this infrastructure requirement entirely by moving to a distributed computing environment. Implementation: There are three main options for moving to a distributed computing environment. Infrastructure as a Service (IaaS) The first option is simply to virtualize the current hardware and move the VM’s to a provider. You can do this with Microsoft’s Hyper-V product or other software, build the systems and host them locally on fewer physical machines. This is a good option for canned-applications (where you have to type setup.exe) but not as useful for custom applications, as you still have to license and patch those servers, and there are hard limits on the VM sizes. Software as a Service (SaaS) If there is already software available that does what you need, it may make sense to simply purchase not only the software license but the use of it on the vendor’s servers. Microsoft’s Exchange Online is an example of simply using an offering from a vendor on their servers. If you do not need a great deal of customization, have no interest in owning or extending the source code, and need to implement a solution quickly, this is a good choice. Platform as a Service (PaaS) If you do need to write software for your environment, your next choice is a Platform as a Service such as Windows Azure. In this case you no longer manager physical or even virtual servers. You start at the code and data level of control and responsibility, and your focus is more on the design and maintenance of the application itself. In this case you own the source code and can extend or change it as you see fit. An interesting side-benefit to using Windows Azure as a PaaS is that the Application Fabric component allows a hybrid approach, which gives you a basis to allow on-premise applications to leverage distributed computing paradigms. No one solution fits every situation. It’s common to see organizations pick a mixture of on-premise, IaaS, SaaS and PaaS components. In fact, that’s a great advantage to this form of computing - choice. References: 5 Enterprise steps for adopting a Platform as a Service: http://blogs.msdn.com/b/davidmcg/archive/2010/12/02/5-enterprise-steps-for-adopting-a-platform-as-a-service.aspx?wa=wsignin1.0  Application Patterns for the Cloud: http://blogs.msdn.com/b/kashif/archive/2010/08/07/application-patterns-for-the-cloud.aspx

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