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  • two-part dice pool mechanic

    - by bythenumbers
    I'm working on a dice mechanic/resolution system based off of the Ghost/Echo (hereafter shortened to G/E) tabletop RPG. Specifically, since G/E can be a little harsh with dealing out consequences and failure, I was hoping to soften the system and add a little more player control, as well as offer the chance for players to evolve their characters into something unique, right from creation. So, here's the mechanic: Players roll 2d12 against the two statistics for their character (each is a number from 2-11, and may be rolled above or below depending on the nature of the action attempted, rolling your stat exactly always fails). Depending on the success for that roll, they add dice to the pool rolled for a modified G/E style action. The acting player gets two dice anyhow, and I am debating offering a bonus die for each success, or a single bonus die for succeeding on both of the statistic-compared rolls. One the size of the dice pool is set, the entire pool is rolled, and the players are allowed to assign rolled dice to a goal and a danger. Assigned results are judged as follows: 1-4 means the attempted goal fails, or the danger comes true. 5-8 is a partial success at the goal, or partially avoiding the danger. 9-12 means the goal is achieved, or the danger avoided. My concerns are twofold: Firstly, that the two-stage action is too complicated, with two rolls to judge separately before anything can happen. Secondly, that the statistics involved go too far in softening the game. I've run some basic simulations, and the approximate statistics follow: 2 dice (up to) 3 dice (up to) 4 dice failure ~33% ~25% ~20% partial ~33% ~35% ~35% success ~33% ~40% ~45% I'd appreciate any advice that addresses my concerns or offers to refine my simulation (right now the first roll is statistically modeled as sign(1d12-1d12), where 0 is a success).

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  • Part-time work as a beginner programmer [on hold]

    - by Valentas
    I wrote to one company near my university (starting in September) and they responded that they will probably hire me from the work I have already done (some projects and Euler problems solving). It's for 15 hours/week or so in order to not fall behind uni work. They require Python, SQL, XML and a good idea about how the Web works. The job role involves acquiring data from the Web and supplying it as search results for flight seekers (people). I am eager to learn but still, what can I do to become prepared for this? I ask because I tend to gravitate from one technology to the other, trying out things but never mastering it properly. What Web technologies are involved in such a job role? I have two months and want to learn as much as possible because there is much info but I have no idea where to start.

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  • Antenna Aligner part 1: In the beginning.

    - by Chris George
    Picture the scene, it's 9pm, I'm in my caravan (yes I know, I've heard all the jokes!) with my family and I'm trying to tune the tv by moving the aerial, retuning, moving the aerial again, retuning... 45 mins and much cursing later I succeed. Surely there must be an easier way than this? Aha, an app; there must be an app for that? So I search in the AppStore for such an app, but curiously drew a blank. Then the seeds of the idea started to grow. I can code, I work in a software house with lots of very clever people, surely I can make an app that points to the nearest digital tv transmitter! Not having looked into app development before, I investigated how one goes about making an iPhone app and was quickly greeted by a now familiar answer "Buy a mac!". That was not an option for many reasons, mostly wife related! My dreams were starting to fade until one of my colleagues pointed out that within Red Gate, the very company I work for, there was on-going development on a piece of software that would allow me to write an app using Visual Studio on a Windows machine, Nomad! Once I signed up for the beta program I got to work learning the Jquery mobile / Phonegap framework. Within a couple of hours I had written (in Visual Studio), built in the cloud (using Nomad) and published (via TestFlight) my first iPhone app onto my iPhone ! It didn't do much, but it was a step in the right direction. To be continued...

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  • How to profile LINQ to Entities queries in your asp.net applications - part 3

    - by nikolaosk
    In this post I will continue exploring ways on how to profile database activity when using the Entity Framework as the data access layer in our applications. If you want to read the first post of the series click here . If you want to read the second post of the series click here . In this post I will use the excellent (best tool for EF profiling) which is called Entity Framework Profiler. You can download the trial - fully functional edition of this tool from here . I will use the previous example...(read more)

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  • How to write PowerShell code part 3 (calling external script)

    - by ybbest
    In this post, I’d like to show you how to calling external script from a PowerShell script. I’d like to use the site creation script as an example. You can download script here. 1. To call the external script, you need to first to grab the script path. You can do so by calling $scriptPath = Split-Path $myInvocation.MyCommand.Path to grab the current script path. You can then use this to build the path for your external script path. $scriptPath = Split-Path $myInvocation.MyCommand.Path $ExternalScript=$scriptPath+"\CreateSiteCollection.ps1" $configurationXmlPath=$scriptPath+"\SiteCollection.xml" [xml] $configurationXml=Get-Content $configurationXmlPath & "$ExternalScript" $configurationXml Write-Host 2.If you like to pass in any parameters , you need to define your script parameters in param () at the top of the script and separate each parameter by a comma (,) and when calling the method you do not need comma (,) to separate each parameter. #Pass in the Parameters. param ([xml] $xmlinput)

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  • Skynet Big Data Demo Using Hexbug Spider Robot, Raspberry Pi, and Java SE Embedded (Part 4)

    - by hinkmond
    Here's the first sign of life of a Hexbug Spider Robot converted to become a Skynet Big Data model T-1. Yes, this is T-1 the precursor to the Cyberdyne Systems T-101 (and you know where that will lead to...) It is demonstrating a heartbeat using a simple Java SE Embedded program to drive it. See: Skynet Model T-1 Heartbeat It's alive!!! Well, almost alive. At least there's a pulse. We'll program more to its actions next, and then finally connect it to Skynet Big Data to do more advanced stuff, like hunt for Sara Connor. Java SE Embedded programming makes it simple to create the first model in the long line of T-XXX robots to take on the world. Raspberry Pi makes connecting it all together on one simple device, easy. Next post, I'll show how the wires are connected to drive the T-1 robot. Hinkmond

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  • Identity in .NET 4.5&ndash;Part 2: Claims Transformation in ASP.NET (Beta 1)

    - by Your DisplayName here!
    In my last post I described how every identity in .NET 4.5 is now claims-based. If you are coming from WIF you might think, great – how do I transform those claims? Sidebar: What is claims transformation? One of the most essential features of WIF (and .NET 4.5) is the ability to transform credentials (or tokens) to claims. During that process the “low level” token details are turned into claims. An example would be a Windows token – it contains things like the name of the user and to which groups he belongs to. That information will be surfaced as claims of type Name and GroupSid. Forms users will be represented as a Name claim (all the other claims that WIF provided for FormsIdentity are gone in 4.5). The issue here is, that your applications typically don’t care about those low level details, but rather about “what’s the purchase limit of alice”. The process of turning the low level claims into application specific ones is called claims transformation. In pre-claims times this would have been done by a combination of Forms Authentication extensibility, role manager and maybe ASP.NET profile. With claims transformation all your identity gathering code is in one place (and the outcome can be cached in a single place as opposed to multiple ones). The structural class to do claims transformation is called ClaimsAuthenticationManager. This class has two purposes – first looking at the incoming (low level) principal and making sure all required information about the user is present. This is your first chance to reject a request. And second – modeling identity information in a way it is relevant for the application (see also here). This class gets called (when present) during the pipeline when using WS-Federation. But not when using the standard .NET principals. I am not sure why – maybe because it is beta 1. Anyhow, a number of people asked me about it, and the following is a little HTTP module that brings that feature back in 4.5. public class ClaimsTransformationHttpModule : IHttpModule {     public void Dispose()     { }     public void Init(HttpApplication context)     {         context.PostAuthenticateRequest += Context_PostAuthenticateRequest;     }     void Context_PostAuthenticateRequest(object sender, EventArgs e)     {         var context = ((HttpApplication)sender).Context;         // no need to call transformation if session already exists         if (FederatedAuthentication.SessionAuthenticationModule != null &&             FederatedAuthentication.SessionAuthenticationModule.ContainsSessionTokenCookie(context.Request.Cookies))         {             return;         }         var transformer = FederatedAuthentication.FederationConfiguration.IdentityConfiguration.ClaimsAuthenticationManager;         if (transformer != null)         {             var transformedPrincipal = transformer.Authenticate(context.Request.RawUrl, context.User as ClaimsPrincipal);             context.User = transformedPrincipal;             Thread.CurrentPrincipal = transformedPrincipal;         }     } } HTH

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  • Developing Schema Compare for Oracle (Part 6): 9i Query Performance

    - by Simon Cooper
    All throughout the EAP and beta versions of Schema Compare for Oracle, our main request was support for Oracle 9i. After releasing version 1.0 with support for 10g and 11g, our next step was then to get version 1.1 of SCfO out with support for 9i. However, there were some significant problems that we had to overcome first. This post will concentrate on query execution time. When we first tested SCfO on a 9i server, after accounting for various changes to the data dictionary, we found that database registration was taking a long time. And I mean a looooooong time. The same database that on 10g or 11g would take a couple of minutes to register would be taking upwards of 30 mins on 9i. Obviously, this is not ideal, so a poke around the query execution plans was required. As an example, let's take the table population query - the one that reads ALL_TABLES and joins it with a few other dictionary views to get us back our list of tables. On 10g, this query takes 5.6 seconds. On 9i, it takes 89.47 seconds. The difference in execution plan is even more dramatic - here's the (edited) execution plan on 10g: -------------------------------------------------------------------------------| Id | Operation | Name | Bytes | Cost |-------------------------------------------------------------------------------| 0 | SELECT STATEMENT | | 108K| 939 || 1 | SORT ORDER BY | | 108K| 939 || 2 | NESTED LOOPS OUTER | | 108K| 938 ||* 3 | HASH JOIN RIGHT OUTER | | 103K| 762 || 4 | VIEW | ALL_EXTERNAL_LOCATIONS | 2058 | 3 ||* 20 | HASH JOIN RIGHT OUTER | | 73472 | 759 || 21 | VIEW | ALL_EXTERNAL_TABLES | 2097 | 3 ||* 34 | HASH JOIN RIGHT OUTER | | 39920 | 755 || 35 | VIEW | ALL_MVIEWS | 51 | 7 || 58 | NESTED LOOPS OUTER | | 39104 | 748 || 59 | VIEW | ALL_TABLES | 6704 | 668 || 89 | VIEW PUSHED PREDICATE | ALL_TAB_COMMENTS | 2025 | 5 || 106 | VIEW | ALL_PART_TABLES | 277 | 11 |------------------------------------------------------------------------------- And the same query on 9i: -------------------------------------------------------------------------------| Id | Operation | Name | Bytes | Cost |-------------------------------------------------------------------------------| 0 | SELECT STATEMENT | | 16P| 55G|| 1 | SORT ORDER BY | | 16P| 55G|| 2 | NESTED LOOPS OUTER | | 16P| 862M|| 3 | NESTED LOOPS OUTER | | 5251G| 992K|| 4 | NESTED LOOPS OUTER | | 4243M| 2578 || 5 | NESTED LOOPS OUTER | | 2669K| 1440 ||* 6 | HASH JOIN OUTER | | 398K| 302 || 7 | VIEW | ALL_TABLES | 342K| 276 || 29 | VIEW | ALL_MVIEWS | 51 | 20 ||* 50 | VIEW PUSHED PREDICATE | ALL_TAB_COMMENTS | 2043 | ||* 66 | VIEW PUSHED PREDICATE | ALL_EXTERNAL_TABLES | 1777K| ||* 80 | VIEW PUSHED PREDICATE | ALL_EXTERNAL_LOCATIONS | 1744K| ||* 96 | VIEW | ALL_PART_TABLES | 852K| |------------------------------------------------------------------------------- Have a look at the cost column. 10g's overall query cost is 939, and 9i is 55,000,000,000 (or more precisely, 55,496,472,769). It's also having to process far more data. What on earth could be causing this huge difference in query cost? After trawling through the '10g New Features' documentation, we found item 1.9.2.21. Before 10g, Oracle advised that you do not collect statistics on data dictionary objects. From 10g, it advised that you do collect statistics on the data dictionary; for our queries, Oracle therefore knows what sort of data is in the dictionary tables, and so can generate an efficient execution plan. On 9i, no statistics are present on the system tables, so Oracle has to use the Rule Based Optimizer, which turns most LEFT JOINs into nested loops. If we force 9i to use hash joins, like 10g, we get a much better plan: -------------------------------------------------------------------------------| Id | Operation | Name | Bytes | Cost |-------------------------------------------------------------------------------| 0 | SELECT STATEMENT | | 7587K| 3704 || 1 | SORT ORDER BY | | 7587K| 3704 ||* 2 | HASH JOIN OUTER | | 7587K| 822 ||* 3 | HASH JOIN OUTER | | 5262K| 616 ||* 4 | HASH JOIN OUTER | | 2980K| 465 ||* 5 | HASH JOIN OUTER | | 710K| 432 ||* 6 | HASH JOIN OUTER | | 398K| 302 || 7 | VIEW | ALL_TABLES | 342K| 276 || 29 | VIEW | ALL_MVIEWS | 51 | 20 || 50 | VIEW | ALL_PART_TABLES | 852K| 104 || 78 | VIEW | ALL_TAB_COMMENTS | 2043 | 14 || 93 | VIEW | ALL_EXTERNAL_LOCATIONS | 1744K| 31 || 106 | VIEW | ALL_EXTERNAL_TABLES | 1777K| 28 |------------------------------------------------------------------------------- That's much more like it. This drops the execution time down to 24 seconds. Not as good as 10g, but still an improvement. There are still several problems with this, however. 10g introduced a new join method - a right outer hash join (used in the first execution plan). The 9i query optimizer doesn't have this option available, so forcing a hash join means it has to hash the ALL_TABLES table, and furthermore re-hash it for every hash join in the execution plan; this could be thousands and thousands of rows. And although forcing hash joins somewhat alleviates this problem on our test systems, there's no guarantee that this will improve the execution time on customers' systems; it may even increase the time it takes (say, if all their tables are partitioned, or they've got a lot of materialized views). Ideally, we would want a solution that provides a speedup whatever the input. To try and get some ideas, we asked some oracle performance specialists to see if they had any ideas or tips. Their recommendation was to add a hidden hook into the product that allowed users to specify their own query hints, or even rewrite the queries entirely. However, we would prefer not to take that approach; as well as a lot of new infrastructure & a rewrite of the population code, it would have meant that any users of 9i would have to spend some time optimizing it to get it working on their system before they could use the product. Another approach was needed. All our population queries have a very specific pattern - a base table provides most of the information we need (ALL_TABLES for tables, or ALL_TAB_COLS for columns) and we do a left join to extra subsidiary tables that fill in gaps (for instance, ALL_PART_TABLES for partition information). All the left joins use the same set of columns to join on (typically the object owner & name), so we could re-use the hash information for each join, rather than re-hashing the same columns for every join. To allow us to do this, along with various other performance improvements that could be done for the specific query pattern we were using, we read all the tables individually and do a hash join on the client. Fortunately, this 'pure' algorithmic problem is the kind that can be very well optimized for expected real-world situations; as well as storing row data we're not using in the hash key on disk, we use very specific memory-efficient data structures to store all the information we need. This allows us to achieve a database population time that is as fast as on 10g, and even (in some situations) slightly faster, and a memory overhead of roughly 150 bytes per row of data in the result set (for schemas with 10,000 tables in that means an extra 1.4MB memory being used during population). Next: fun with the 9i dictionary views.

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  • Stairway to T-SQL DML Level 5: The Mathematics of SQL: Part 2

    Joining tables is a crucial concept to understanding data relationships in a relational database. When you are working with your SQL Server data, you will often need to join tables to produce the results your application requires. Having a good understanding of set theory, and the mathematical operators available and how they are used to join tables will make it easier for you to retrieve the data you need from SQL Server.

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  • C# 5 Async, Part 3: Preparing Existing code For Await

    - by Reed
    While the Visual Studio Async CTP provides a fantastic model for asynchronous programming, it requires code to be implemented in terms of Task and Task<T>.  The CTP adds support for Task-based asynchrony to the .NET Framework methods, and promises to have these implemented directly in the framework in the future.  However, existing code outside the framework will need to be converted to using the Task class prior to being usable via the CTP. Wrapping existing asynchronous code into a Task or Task<T> is, thankfully, fairly straightforward.  There are two main approaches to this. Code written using the Asynchronous Programming Model (APM) is very easy to convert to using Task<T>.  The TaskFactory class provides the tools to directly convert APM code into a method returning a Task<T>.  This is done via the FromAsync method.  This method takes the BeginOperation and EndOperation methods, as well as any parameters and state objects as arguments, and returns a Task<T> directly. For example, we could easily convert the WebRequest BeginGetResponse and EndGetResponse methods into a method which returns a Task<WebResponse> via: Task<WebResponse> task = Task.Factory .FromAsync<WebResponse>( request.BeginGetResponse, request.EndGetResponse, null); .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } Event-based Asynchronous Pattern (EAP) code can also be wrapped into a Task<T>, though this requires a bit more effort than the one line of code above.  This is handled via the TaskCompletionSource<T> class.  MSDN provides a detailed example of using this to wrap an EAP operation into a method returning Task<T>.  It demonstrates handling cancellation and exception handling as well as the basic operation of the asynchronous method itself. The basic form of this operation is typically: Task<YourResult> GetResultAsync() { var tcs = new TaskCompletionSource<YourResult>(); // Handle the event, and setup the task results... this.GetResultCompleted += (o,e) => { if (e.Error != null) tcs.TrySetException(e.Error); else if (e.Cancelled) tcs.TrySetCanceled(); else tcs.TrySetResult(e.Result); }; // Call the asynchronous method this.GetResult(); // Return the task from the TaskCompletionSource return tcs.Task; } We can easily use these methods to wrap our own code into a method that returns a Task<T>.  Existing libraries which cannot be edited can be extended via Extension methods.  The CTP uses this technique to add appropriate methods throughout the framework. The suggested naming for these methods is to define these methods as “Task<YourResult> YourClass.YourOperationAsync(…)”.  However, this naming often conflicts with the default naming of the EAP.  If this is the case, the CTP has standardized on using “Task<YourResult> YourClass.YourOperationTaskAsync(…)”. Once we’ve wrapped all of our existing code into operations that return Task<T>, we can begin investigating how the Async CTP can be used with our own code.

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  • Adventures in Lab Management Configuration: Part 3 of 3

    - by Enrique Lima
    This is long overdue.  But here it is. In the previous two sections I have discussed on how I got a CMMI v4.2 to take on the same fields as v5 and therefore be able to communicate with MTM and Lab Manager.  And that was quite a success. Yet when I opened up Lab Management while it was fully aware of the VMs being there, it refused to let me enroll them into an environment.  It kept stating there was no suitable host to deploy the VM to, error TF259115. This was an indication something was not matching the expected network configuration between TFS and Hyper-V/SCVMM. So, here are a couple of things that took place: Verified the network segment specified for network isolation matched what was configured physically for either DHCP or manually assigned IP addressing for the guest VMs Made sure TFS was fully aware of the configuration settings for the network location name.  For that I issued:  tfsconfig lab /settings /networklocation:”<name of the network location configured in SCVMM” On that last item, that was key to making sure Lab Management communicated with the VMs and for it to allow enrollment into the new Virtual Environment.

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  • Mapping Object Relationships - QuickStart with NHibernate (Part 3)

    - by BobPalmer
    For this third tutorial, we'll be introducing users new to NHibernat to basic object relationships, starting with a simple many-to-one relationship.  I decided that it would make sense to at least get the readers through some basic relationship mapping (including varieties of parent/child and many to many relationships) before diverging into UI, since most folks are looking for enough to bootstrap themsevles into using NHibernate, and this almost always means some kind of relation between their objects. You can find a link to the article at: http://docs.google.com/Doc?docid=0AUP-rKyyUMKhZGczejdxeHZfMjJmM3c3M3Bnbg&hl=en As always, comments, corrections, and suggestions are appreciated! -Bob

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  • OSB, Service Callouts and OQL - Part 3

    - by Sabha
    In the previous sections of the "OSB, Service Callouts and OQL" series, we analyzed the threading model used by OSB for Service Callouts and analysis of OSB Server threads hung in Service callouts and identifying  the Proxies and Remote services involved in the hang using OQL. This final section of the series will focus on the corrective action to avoid Service Callout related OSB Server hangs. Please refer to the blog post for more details.

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  • Customer Experience Management for Retail 2.0 - part 2 / 2

    - by Sanjeev Sharma
    In the previous post, i discussed some of the key trends shaping up in the retail industry, their implications and the challenges facing retailers seeking to regain control of the buyer-seller relationship. Is Customer Experience Management the panacea for the ailing retailers who are now awakening to the power of the consumer? Quite honestly, customer acquisition, retention and satisfaction have been top of mind for retailers for quite some time now. The missing piece of this puzzle is bringing all those countless hours of strategy and planning to fruition. This is more of an execution gap than anything else. Although technology has made consumers more informed, more mobile and more social, customer experience is still largely defined by delivering on the following: Consistent experiences, whether shopping online or offline Personalize-able interaction ("mass market" sounds good as an internal strategy but not when you are a buyer!) Timely order fulfillment, if not pro-active notification of delays Below is a concept architecture for streamlining front-end, mid-office and back-end interfaces through shared process to achieve consistency and efficiency in managing the customer experience from order capture to order provisioning.

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  • PostgreSQL, Ubuntu, NetBeans IDE (Part 2)

    - by Geertjan
    Now let's create the start of a CRUD application on the NetBeans Platform, using Hibernate and PostgreSQL to do so. Here's what I see in NetBeans IDE after setting things up as outlined yesterday: The NetBeans Platform CRUD Tutorial should get you up and started creating the NetBeans Platform application. Open the generated "persistence.xml" in Design mode and then switch the persistence library to Hibernate. The Here's the application structure: The Hibernate module that you see above has this content: Here's the result: And here's the source code: http://java.net/projects/nb-api-samples/sources/api-samples/show/versions/7.3/misc/NBPostgreSQL

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  • OBIA on Teradata - Part 3 Stats

    - by Mohan Ramanuja
    Statements to run table stats on W_Party_Per_DS and W_Party_Per_DCOLLECT STATISTICS ON W_PARTY_PER_DS COLUMN ("DEPARTMENT_NAME");COLLECT STATISTICS ON W_PARTY_PER_DS COLUMN ("CONTACT_ID");COLLECT STATISTICS ON W_PARTY_PER_DS COLUMN ("CITY");COLLECT STATISTICS ON W_PARTY_PER_D COLUMN ("ACCNT_FLG");COLLECT STATISTICS ON W_PARTY_PER_D COLUMN ("SUPPLIER_FLG");help statistics w_party_per_d; Date Time    Unique Values    Column Names10/06/02    15:37:47  5,002,185        ROW_WID10/06/21    14:02:55  0     VIS_PR_POS_ID10/06/02    15:37:48  2     CREATED_BY_WID10/06/02    15:37:49  2     CHANGED_BY_WID10/06/02    15:37:50  2     SRC_EFF_FROM_DT10/06/02    15:37:51  1     SRC_EFF_TO_DT10/06/02    15:37:52  2     EFFECTIVE_FROM_DT10/06/02    15:37:53  2     EFFECTIVE_TO_DT10/06/02    15:37:57  1     DELETE_FLG10/06/21    14:02:54  0     CURRENT_FLG10/06/02    15:37:59  2     DATASOURCE_NUM_ID10/06/02    15:38:02  1     ETL_PROC_WID10/06/10    18:27:21  1,000     INTEGRATION_ID select top 10 * from DBC.TableSize; VprocDataBaseName AccountName     TableName     CurrentPerm PeakPerm 0    T21_ETL_TEMP_ENT         IM IT/IM IT Enterprise region  RZ_PENDD_FCLTY_CLM_STG   1024     0 0    SSB_RDS                  IM IT/IM IT ENTERPRISE REGION  RDS_RESP_997_TLR         1024     0 0    T17_EDL                  IM IT/IM IT Enterprise region  SPCMN_ACTN               1024     0 0    T20_ETL_CAPTR_DATA_ENT   IM IT/IM IT Enterprise region  HZ_CS90_VSGPNTE_S9MGNT14 2048     0 0    T5_ETL_DATA_PBM          IM IT/IM IT Enterprise region  PRCG_OVRD_BY_RX_NM       1536     0 0    PIP_DB                   $H&D&H                         PIPTRGENTSRC             1024     0 0    STest5_ADW0              sysadmin                       PROV_RGSTRTN             59904     0 0    AEDWSTG1                 NEIM/NEIM                      MEMBERSHIP_LKUP_ETL      1024     0 0    AEDWTST5                 dbc                            cptn_agrmt_xwlk          1024     0 0    VAL_LAG_TEMP             $H1$&D&HDBA                    clm_lag_stg              347136     0 select vproc, CurrentPerm from DBC.TableSize where databasename = 'PRJ_CRM_STGC' and tablename='w_party_per_d' ORDER BY 2 DESC;Vproc    DataBaseName    AccountName TableName        CurrentPerm    PeakPerm0        PRJ_CRM_STGC    DBA/DBA      W_PARTY_PER_D    8704.00        841728.003        PRJ_CRM_STGC    DBA/DBA      W_PARTY_PER_D    8704.00        782848.00

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  • Data Source Security Part 1

    - by Steve Felts
    I’ve written a couple of articles on how to store data source security credentials using the Oracle wallet.  I plan to write a few articles on the various types of security available to WebLogic Server (WLS) data sources.  There are more options than you might think! There have been several enhancements in this area in WLS 10.3.6.  There are a couple of more enhancements planned for release WLS 12.1.2 that I will include here for completeness.  This isn’t intended as a teaser.  If you call your Oracle support person, you can get them now as minor patches to WLS 10.3.6.   The current security documentation is scattered in a few places, has a few incorrect statements, and is missing a few topics.  It also seems that the knowledge of how to apply some of these features isn’t written down.  The goal of these articles is to talk about WLS data source security in a unified way and to introduce some approaches to using the available features.  Introduction to WebLogic Data Source Security Options By default, you define a single database user and password for a data source.  You can store it in the data source descriptor or make use of the Oracle wallet.  This is a very simple and efficient approach to security.  All of the connections in the connection pool are owned by this user and there is no special processing when a connection is given out.  That is, it’s a homogeneous connection pool and any request can get any connection from a security perspective (there are other aspects like affinity).  Regardless of the end user of the application, all connections in the pool use the same security credentials to access the DBMS.   No additional information is needed when you get a connection because it’s all available from the data source descriptor (or wallet). java.sql.Connection conn =  mydatasource.getConnection(); Note: You can enter the password as a name-value pair in the Properties field (this not permitted for production environments) or you can enter it in the Password field of the data source descriptor. The value in the Password field overrides any password value defined in the Properties passed to the JDBC Driver when creating physical database connections. It is recommended that you use the Password attribute in place of the password property in the properties string because the Password value is encrypted in the configuration file (stored as the password-encrypted attribute in the jdbc-driver-params tag in the module file) and is hidden in the administration console.  The Properties and Password fields are located on the administration console Data Source creation wizard or Data Source Configuration tab. The JDBC API can also be used to programmatically specify a database user name and password as in the following.  java.sql.Connection conn = mydatasource.getConnection(“user”, “password”); According to the JDBC specification, it’s supposed to take a database user and associated password but different vendors implement this differently.  WLS, by default, treats this as an application server user and password.  The pair is authenticated to see if it’s a valid user and that user is used for WLS security permission checks.  By default, the user is then mapped to a database user and password using the data source credential mapper, so this API sort of follows the specification but database credentials are one-step removed from the application code.  More details and the rationale are described later. While the default approach is simple, it does mean that only one database user is doing all of the work.  You can’t figure out who actually did the update and you can’t restrict SQL operations by who is running the operation, at least at the database level.   Any type of per-user logic will need to be in the application code instead of having the database do it.  There are various WLS data source features that can be configured to provide some per-user information about the operations to the database. WebLogic Data Source Security Options This table describes the features available for WebLogic data sources to configure database security credentials and a brief description.  It also captures information about the compatibility of these features with one another. Feature Description Can be used with Can’t be used with User authentication (default) Default getConnection(user, password) behavior – validate the input and use the user/password in the descriptor. Set client identifier Proxy Session, Identity pooling, Use database credentials Use database credentials Instead of using the credential mapper, use the supplied user and password directly. Set client identifier, Proxy session, Identity pooling User authentication, Multi Data Source Set Client Identifier Set a client identifier property associated with the connection (Oracle and DB2 only). Everything Proxy Session Set a light-weight proxy user associated with the connection (Oracle-only). Set client identifier, Use database credentials Identity pooling, User authentication Identity pooling Heterogeneous pool of connections owned by specified users. Set client identifier, Use database credentials Proxy session, User authentication, Labeling, Multi-datasource, Active GridLink Note that all of these features are available with both XA and non-XA drivers. Currently, the Proxy Session and Use Database Credentials options are on the Oracle tab of the Data Source Configuration tab of the administration console (even though the Use Database Credentials feature is not just for Oracle databases – oops).  The rest of the features are on the Identity tab of the Data Source Configuration tab in the administration console (plan on seeing them all in one place in the future). The subsequent articles will describe these features in more detail.  Keep referring back to this table to see the big picture.

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  • OBIA on Teradata - Part 4

    - by Mohan Ramanuja
    Monitoring Tools Name Action Teradata Manager (PMON) Check for down resources UNIX Check the /var/adm/streams log DBC.Software_Event_Log Check for hardware errors. Tunable ParametersFollowing parameters could be tuned for better performance Maximum Response Buffer Size (MAXRESPSIZE) Session Data Unit (SDU) Transport Date Unit (TDU) Related Links http://forums.teradata.com/forum http://www.info.teradata.com/Datawarehouse/eBrowseBy.cfm?page=TeradataDatabase http://www.teradataforum.com/ncr_pdf.htm http://www.teradata.com/blogs/ http://www.teradatamagazine.com/

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