multiple columns - Page 359

tfs 2010 RC Agile Process template update New Task progress report

Maybe my next post will just be about why I am so excited and impressed with the out of the box templates. But, for this first blog with my new focus, I thought I would just walk through the process I went through to create a task progress report (to enhance the out of the box Agile template). So, I started with the MSF for Agile Development 5.0 RC template. After reviewing the template, I came away pretty excited about many of the new reports. I am especially excited about the reporting services reports. The big advantage I see here is that these are querying the Warehouse directly instead of the Analysis Services Cube which means that they are much closer to real-time which I find very important for reports like Burndown and task status. One report that I focused on right away was the User Story Progress Report. An overview is shown below: This report is very useful, but a lot of our internal managers really prefer to manage at the task level and either dont have stories in TFS or would like to view this type of report for tasks in addition to the User Stories. So, what did I do? Step 1: Download the Agile Template In VS 2010 RC, open Process Template Manager from Team->Team Project Collection Settings. Download the MSF for Agile Development template to your local file system. A project template is a folder of xml files. There is a ProcessTemplate.xml in the root and then a bunch of directories for things like Work Item Definitions and Queries, Reports, Shared Documents and Source Control Settings. Step 2: Copy the folder My plan here is to make a new template with all of my modifications. You can also just enhance update the MSF template. However, I think it is cleaner when you start making modifications to make your own template. So, copy the folder and name it with your new template name. Step 3: Change Template Name Open ProcessTemplate.xml and change the <name> of the template. Step 4: Copy the rdl of the Report you want to use a starting point In my case, I copied Stories Progress.rdl and named the file Task Progress Breakdown.rdl. I reviewed the requirements for the new report with some of the users here and came up with this plan. Should show tasks and be expandable to show subtasks. Should add Assigned To and Estimated Finish Date as 2 extra columns. Step 5: Walkthrough the existing report to understand how it works The main thing that I do here is try to get the sql to run in SQL Management Studio. So, I can walkthrough the process of building up the data for the report. After analyzing this particular report I found a couple of very useful things. One, this report is already built to display subtasks if I just flip the IncludeTasks flag to 1. So, if you are using Stories and have tasks assigned to each story. This might give you everything you want. For my purposes, I did make that change to the Stories Progress report as I find it to be a more useful report to be able to see the tasks that comprise each story. But, I still wanted a task only version with the additional fields. Step 6: Update the report definition I tend to work on rdl in visual studio directly as xml. Especially when I am just altering an existing report, I find it easier than trying to deal with the BI Studio designer. For my report I made the following changes. Updated Fields Removed Stack Rank and Replaced with Priority since we dont use Stack Rank Added FinishDate and AssignedTo Changed the root deliverable SQL to pull @tasks instead of @deliverablecategory and added a join CurrentWorkItemView for FinishDate and Assigned to SELECT cwi.[System_Id] AS ID FROM [CurrentWorkItemView] cwi WHERE cwi.[System_WorkItemType] IN (@Task) AND cwi.[ProjectNodeGUID] = @ProjectGuid SELECT lh.SourceWorkItemID AS ID FROM FactWorkItemLinkHistory lh INNER JOIN [CurrentWorkItemView] cwi ON lh.TargetWorkItemID = cwi.[System_Id] WHERE lh.WorkItemLinkTypeSK = @ParentWorkItemLinkTypeSK AND lh.RemovedDate = CONVERT(DATETIME, '9999', 126) AND lh.TeamProjectCollectionSK = @TeamProjectCollectionSK AND cwi.[System_WorkItemType] NOT IN (@DeliverableCategory) Added AssignedTo and FinishDate columns to the @Rollups table Added two columns to the table used for column headers <Tablix Name="ProgressTable"> <TablixBody> <TablixColumns> <TablixColumn> <Width>2.7625in</Width> </TablixColumn> <TablixColumn> <Width>0.5125in</Width> </TablixColumn> <TablixColumn> <Width>3.4625in</Width> </TablixColumn> <TablixColumn> <Width>0.7625in</Width> </TablixColumn> <TablixColumn> <Width>1.25in</Width> </TablixColumn> <TablixColumn> <Width>1.25in</Width> </TablixColumn> </TablixColumns> Added Cells for the two new headers Added Cells to the data table to include the two new values (Assigned to & Finish Date) Changed a bunch of widths that would change the format of the report to display landscape and have room for the two additional columns Set the Value of the IncludeTasks Parameter to 1 <ReportParameter Name="IncludeTasks"> <DataType>Integer</DataType> <DefaultValue> <Values> <Value>=1</Value> </Values> </DefaultValue> <Prompt>IncludeTasks</Prompt> <Hidden>true</Hidden> </ReportParameter> Change a few descriptions on how the report should be used This is the resulting report I have attached the final rdl. Step 7: Update ReportTasks.xml Last step before the template is ready for use is to update the reportTasks.xml file in the reports folder. This file defines the reports that are available in the template. <report name="Task Progress Breakdown" filename="Reports\Task Progress Breakdown.rdl" folder="Project Management" cacheExpiration="30"> <parameters> <parameter name="ExplicitProject" value="" /> </parameters> <datasources> <reference name="/Tfs2010ReportDS" dsname="TfsReportDS" /> </datasources> </report> Step 8: Upload the template Open the process Template Manager just like Step 1. And upload the new template. Thats it. One other note, if you want to add this report to existing team project you will have to go into reportmanager (the reporting services portal) and upload the rdl to that projects directory.Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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July, the 31 Days of SQL Server DMO’s – Day 27 (sys.dm_db_file_space_usage)

- by Tamarick Hill

The sys.dm_db_file_space usage DMV returns information about database file space usage. This DMV was enhanced for the 2012 version to include 3 additional columns. Let’s query this DMV against our AdventureWorks2012 database and view the results. SELECT * FROM sys.dm_db_file_space_usage The column returned from this DMV are really self-explanatory, but I will give you a description, paraphrased from books online, below. The first three columns returned from this DMV represent the Database, File, and Filegroup for the current database context that executed the DMV query. The next column is the total_page_count which represents the total number of pages in the file. The allocated_extent_page_count represents the total number of pages in all extents that have been allocated. The unallocated_extent_page_count represents the number of pages in the unallocated extents within the file. The version_store_reserved_page_count column represents the number of pages that are allocated to the version store. The user_object_reserved_page_count represents the number of pages allocated for user objects. The internal_object_reserved_page_count represents the number of pages allocated for internal objects. Lastly is the mixed_extent_page_count which represents the total number of pages that are part of mixed extents. This is a great DMV for retrieving usage space information from your database files. For more information about this DMV, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/ms174412.aspx Follow me on Twitter @PrimeTimeDBA

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Combination of Operating Mode and Commit Strategy

- by Kevin Yang

If you want to populate a source into multiple targets, you may also want to ensure that every row from the source affects all targets uniformly (or separately). Let’s consider the Example Mapping below. If a row from SOURCE causes different changes in multiple targets (TARGET_1, TARGET_2 and TARGET_3), for example, it can be successfully inserted into TARGET_1 and TARGET_3, but failed to be inserted into TARGET_2, and the current Mapping Property TLO (target load order) is “TARGET_1 -> TARGET_2 -> TARGET_3”. What should Oracle Warehouse Builder do, in order to commit the appropriate data to all affected targets at the same time? If it doesn’t behave as you intended, the data could become inaccurate and possibly unusable. Example Mapping In OWB, we can use Mapping Configuration Commit Strategies and Operating Modes together to achieve this kind of requirements. Below we will explore the combination of these two features and how they affect the results in the target tables Before going to the example, let’s review some of the terms we will be using (Details can be found in white paper Oracle® Warehouse Builder Data Modeling, ETL, and Data Quality Guide11g Release 2): Operating Modes: Set-Based Mode: Warehouse Builder generates a single SQL statement that processes all data and performs all operations. Row-Based Mode: Warehouse Builder generates statements that process data row by row. The select statement is in a SQL cursor. All subsequent statements are PL/SQL. Row-Based (Target Only) Mode: Warehouse Builder generates a cursor select statement and attempts to include as many operations as possible in the cursor. For each target, Warehouse Builder inserts each row into the target separately. Commit Strategies: Automatic: Warehouse Builder loads and then automatically commits data based on the mapping design. If the mapping has multiple targets, Warehouse Builder commits and rolls back each target separately and independently of other targets. Use the automatic commit when the consequences of multiple targets being loaded unequally are not great or are irrelevant. Automatic correlated: It is a specialized type of automatic commit that applies to PL/SQL mappings with multiple targets only. Warehouse Builder considers all targets collectively and commits or rolls back data uniformly across all targets. Use the correlated commit when it is important to ensure that every row in the source affects all affected targets uniformly. Manual: select manual commit control for PL/SQL mappings when you want to interject complex business logic, perform validations, or run other mappings before committing data. Combination of the commit strategy and operating mode To understand the effects of each combination of operating mode and commit strategy, I’ll illustrate using the following example Mapping. Firstly we insert 100 rows into the SOURCE table and make sure that the 99th row and 100th row have the same ID value. And then we create a unique key constraint on ID column for TARGET_2 table. So while running the example mapping, OWB tries to load all 100 rows to each of the targets. But the mapping should fail to load the 100th row to TARGET_2, because it will violate the unique key constraint of table TARGET_2. With different combinations of Commit Strategy and Operating Mode, here are the results ¦ Set-based/ Correlated Commit: Configuration of Example mapping: Result: What’s happening: A single error anywhere in the mapping triggers the rollback of all data. OWB encounters the error inserting into Target_2, it reports an error for the table and does not load the row. OWB rolls back all the rows inserted into Target_1 and does not attempt to load rows to Target_3. No rows are added to any of the target tables. ¦ Row-based/ Correlated Commit: Configuration of Example mapping: Result: What’s happening: OWB evaluates each row separately and loads it to all three targets. Loading continues in this way until OWB encounters an error loading row 100th to Target_2. OWB reports the error and does not load the row. It rolls back the row 100th previously inserted into Target_1 and does not attempt to load row 100 to Target_3. Then, if there are remaining rows, OWB will continue loading them, resuming with loading rows to Target_1. The mapping completes with 99 rows inserted into each target. ¦ Set-based/ Automatic Commit: Configuration of Example mapping: Result: What’s happening: When OWB encounters the error inserting into Target_2, it does not load any rows and reports an error for the table. It does, however, continue to insert rows into Target_3 and does not roll back the rows previously inserted into Target_1. The mapping completes with one error message for Target_2, no rows inserted into Target_2, and 100 rows inserted into Target_1 and Target_3 separately. ¦ Row-based/Automatic Commit: Configuration of Example mapping: Result: What’s happening: OWB evaluates each row separately for loading into the targets. Loading continues in this way until OWB encounters an error loading row 100 to Target_2 and reports the error. OWB does not roll back row 100th from Target_1, does insert it into Target_3. If there are remaining rows, it will continue to load them. The mapping completes with 99 rows inserted into Target_2 and 100 rows inserted into each of the other targets. Note: Automatic Correlated commit is not applicable for row-based (target only). If you design a mapping with the row-based (target only) and correlated commit combination, OWB runs the mapping but does not perform the correlated commit. In set-based mode, correlated commit may impact the size of your rollback segments. Space for rollback segments may be a concern when you merge data (insert/update or update/insert). Correlated commit operates transparently with PL/SQL bulk processing code. The correlated commit strategy is not available for mappings run in any mode that are configured for Partition Exchange Loading or that include a Queue, Match Merge, or Table Function operator. If you want to practice in your own environment, you can follow the steps: 1. Import the MDL file: commit_operating_mode.mdl 2. Fix the location for oracle module ORCL and deploy all tables under it. 3. Insert sample records into SOURCE table, using below plsql code: begin for i in 1..99 loop insert into source values(i, 'col_'||i); end loop; insert into source values(99, 'col_99'); end; 4. Configure MAPPING_1 to any combinations of operating mode and commit strategy you want to test. And make sure feature TLO of mapping is open. 5. Deploy Mapping “MAPPING_1”. 6. Run the mapping and check the result.

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SQL SERVER – Weekly Series – Memory Lane – #048

- by Pinal Dave

Here is the list of selected articles of SQLAuthority.com across all these years. Instead of just listing all the articles I have selected a few of my most favorite articles and have listed them here with additional notes below it. Let me know which one of the following is your favorite article from memory lane. 2007 Order of Result Set of SELECT Statement on Clustered Indexed Table When ORDER BY is Not Used Above theory is true in most of the cases. However SQL Server does not use that logic when returning the resultset. SQL Server always returns the resultset which it can return fastest.In most of the cases the resultset which can be returned fastest is the resultset which is returned using clustered index. Effect of TRANSACTION on Local Variable – After ROLLBACK and After COMMIT One of the Jr. Developer asked me this question (What will be the Effect of TRANSACTION on Local Variable – After ROLLBACK and After COMMIT?) while I was rushing to an important meeting. I was getting late so I asked him to talk with his Application Tech Lead. When I came back from meeting both of them were looking for me. They said they are confused. I quickly wrote down following example for them. 2008 SQL SERVER – Guidelines and Coding Standards Complete List Download Coding standards and guidelines are very important for any developer on the path of a successful career. A coding standard is a set of guidelines, rules and regulations on how to write code. Coding standards should be flexible enough or should take care of the situation where they should not prevent best practices for coding. They are basically the guidelines that one should follow for better understanding. Download Guidelines and Coding Standards complete List Download Get Answer in Float When Dividing of Two Integer Many times we have requirements of some calculations amongst different fields in Tables. One of the software developers here was trying to calculate some fields having integer values and divide it which gave incorrect results in integer where accurate results including decimals was expected. Puzzle – Computed Columns Datatype Explanation SQL Server automatically does a cast to the data type having the highest precedence. So the result of INT and INT will be INT, but INT and FLOAT will be FLOAT because FLOAT has a higher precedence. If you want a different data type, you need to do an EXPLICIT cast. Renaming SP is Not Good Idea – Renaming Stored Procedure Does Not Update sys.procedures I have written many articles about renaming a tables, columns and procedures SQL SERVER – How to Rename a Column Name or Table Name, here I found something interesting about renaming the stored procedures and felt like sharing it with you all. The interesting fact is that when we rename a stored procedure using SP_Rename command, the Stored Procedure is successfully renamed. But when we try to test the procedure using sp_helptext, the procedure will be having the old name instead of new names. 2009 Insert Values of Stored Procedure in Table – Use Table Valued Function It is clear from the result set that , where I have converted stored procedure logic into the table valued function, is much better in terms of logic as it saves a large number of operations. However, this option should be used carefully. The performance of the stored procedure is “usually” better than that of functions. Interesting Observation – Index on Index View Used in Similar Query Recently, I was working on an optimization project for one of the largest organizations. While working on one of the queries, we came across a very interesting observation. We found that there was a query on the base table and when the query was run, it used the index, which did not exist in the base table. On careful examination, we found that the query was using the index that was on another view. This was very interesting as I have personally never experienced a scenario like this. In simple words, “Query on the base table can use the index created on the indexed view of the same base table.” Interesting Observation – Execution Plan and Results of Aggregate Concatenation Queries Working with SQL Server has never seemed to be monotonous – no matter how long one has worked with it. Quite often, I come across some excellent comments that I feel like acknowledging them as blog posts. Recently, I wrote an article on SQL SERVER – Execution Plan and Results of Aggregate Concatenation Queries Depend Upon Expression Location, which is well received in the community. 2010 I encourage all of you to go through complete series and write your own on the subject. If you write an article and send it to me, I will publish it on this blog with due credit to you. If you write on your own blog, I will update this blog post pointing to your blog post. SQL SERVER – ORDER BY Does Not Work – Limitation of the View 1 SQL SERVER – Adding Column is Expensive by Joining Table Outside View – Limitation of the View 2 SQL SERVER – Index Created on View not Used Often – Limitation of the View 3 SQL SERVER – SELECT * and Adding Column Issue in View – Limitation of the View 4 SQL SERVER – COUNT(*) Not Allowed but COUNT_BIG(*) Allowed – Limitation of the View 5 SQL SERVER – UNION Not Allowed but OR Allowed in Index View – Limitation of the View 6 SQL SERVER – Cross Database Queries Not Allowed in Indexed View – Limitation of the View 7 SQL SERVER – Outer Join Not Allowed in Indexed Views – Limitation of the View 8 SQL SERVER – SELF JOIN Not Allowed in Indexed View – Limitation of the View 9 SQL SERVER – Keywords View Definition Must Not Contain for Indexed View – Limitation of the View 10 SQL SERVER – View Over the View Not Possible with Index View – Limitations of the View 11 2011 Startup Parameters Easy to Configure If you are a regular reader of this blog, you must be aware that I have written about SQL Server Denali recently. Here is the quickest way to reach into the screen where we can change the startup parameters. Go to SQL Server Configuration Manager >> SQL Server Services >> Right Click on the Server >> Properties >> Startup Parameters 2012 Validating Unique Columnname Across Whole Database I sometimes come across very strange requirements and often I do not receive a proper explanation of the same. Here is the one of those examples. For example “Our business requirement is when we add new column we want it unique across current database.” Read the solution to this strange request in this blog post. Excel Losing Decimal Values When Value Pasted from SSMS ResultSet It is very common when users are coping the resultset to Excel, the floating point or decimals are missed. The solution is very much simple and it requires a small adjustment in the Excel. By default Excel is very smart and when it detects the value which is getting pasted is numeric it changes the column format to accommodate that. Basic Calculation and PEMDAS Order of Operation Read this interesting blog post for fantastic conversation about the subject. Copy Column Headers from Resultset – SQL in Sixty Seconds #027 – Video http://www.youtube.com/watch?v=x_-3tLqTRv0 Delete From Multiple Table – Update Multiple Table in Single Statement There are two questions which I get every single day multiple times. In my gmail, I have created standard canned reply for them. Let us see the questions here. I want to delete from multiple table in a single statement how will I do it? I want to update multiple table in a single statement how will I do it? Read the answer in the blog post. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Memory Lane, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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July, the 31 Days of SQL Server DMO’s – Day 28 (sys.dm_db_stats_properties)

- by Tamarick Hill

The sys.dm_db_stats_properties Dynamic Management Function returns information about the statistics that are currently on your database objects. This function takes two parameters, an object_id and a stats_id. Let’s have a look at the result set from this function against the AdventureWorks2012.Sales.SalesOrderHeader table. To obtain the object_id and stats_id I will use a CROSS APPLY with the sys.stats system table. SELECT sp.* FROM sys.stats s CROSS APPLY sys.dm_db_stats_properties(s.object_id, s.Stats_id) sp WHERE sp.object_id = object_id('Sales.SalesOrderHeader') The first two columns returned by this function are the object_id and the stats_id columns. The next column, ‘last_updated’, gives you the date and the time that a particular statistic was last updated. The next column, ‘rows’, gives you the total number of rows in the table as of the last statistic update date. The ‘rows_sampled’ column gives you the number of rows that were sampled to create the statistic. The ‘steps’ column represents the number of specific value ranges from the statistic histogram. The ‘unfiltered_rows’ column represents the number of rows before any filters are applied. If a particular statistic is not filtered, the ‘unfiltered_rows’ column will always equal the ‘rows’ column. Lastly we have the ‘modification_counter’ column which represents the number of modification to the leading column in a given statistic since the last time the statistic was updated. Probably the most important column from this Dynamic Management Function is the ‘last_updated’ column. You want to always ensure that you have accurate and updated statistics on your database objects. Accurate statistics are vital for the query optimizer to generate efficient and reliable query execution plans. Without accurate and updated statistics, the performance of your SQL Server would likely suffer. For more information about this Dynamic Management Function, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/jj553546.aspx Folllow me on Twitter @PrimeTimeDBA

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Partner Blog Series: PwC Perspectives - "Is It Time for an Upgrade?"

- by Tanu Sood

Is your organization debating their next step with regard to Identity Management? While all the stakeholders are well aware that the one-size-fits-all doesn’t apply to identity management, just as true is the fact that no two identity management implementations are alike. Oracle’s recent release of Identity Governance Suite 11g Release 2 has innovative features such as a customizable user interface, shopping cart style request catalog and more. However, only a close look at the use cases can help you determine if and when an upgrade to the latest R2 release makes sense for your organization. This post will describe a few of the situations that PwC has helped our clients work through. “Should I be considering an upgrade?” If your organization has an existing identity management implementation, the questions below are a good start to assessing your current solution to see if you need to begin planning for an upgrade: Does the current solution scale and meet your projected identity management needs? Does the current solution have a customer-friendly user interface? Are you completely meeting your compliance objectives? Are you still using spreadsheets? Does the current solution have the features you need? Is your total cost of ownership in line with well-performing similar sized companies in your industry? Can your organization support your existing Identity solution? Is your current product based solution well positioned to support your organization's tactical and strategic direction? Existing Oracle IDM Customers: Several existing Oracle clients are looking to move to R2 in 2013. If your organization is on Sun Identity Manager (SIM) or Oracle Identity Manager (OIM) and if your current assessment suggests that you need to upgrade, you should strongly consider OIM 11gR2. Oracle provides upgrade paths to Oracle Identity Manager 11gR2 from SIM 7.x / 8.x as well as Oracle Identity Manager 10g / 11gR1. The following are some of the considerations for migration: Check the end of product support (for Sun or legacy OIM) schedule There are several new features available in R2 (including common Helpdesk scenarios, profiling of disconnected applications, increased scalability, custom connectors, browser-based UI configurations, portability of configurations during future upgrades, etc) Cost of ownership (for SIM customers)\ Customizations that need to be maintained during the upgrade Time/Cost to migrate now vs. waiting for next version If you are already on an older version of Oracle Identity Manager and actively maintaining your support contract with Oracle, you might be eligible for a free upgrade to OIM 11gR2. Check with your Oracle sales rep for more details. Existing IDM infrastructure in place: In the past year and half, we have seen a surge in IDM upgrades from non-Oracle infrastructure to Oracle. If your organization is looking to improve the end-user experience related to identity management functions, the shopping cart style access request model and browser based personalization features may come in handy. Additionally, organizations that have a large number of applications that include ecommerce, LDAP stores, databases, UNIX systems, mainframes as well as a high frequency of user identity changes and access requests will value the high scalability of the OIM reconciliation and provisioning engine. Furthermore, we have seen our clients like OIM's out of the box (OOB) support for multiple authoritative sources. For organizations looking to integrate applications that do not have an exposed API, the Generic Technology Connector framework supported by OIM will be helpful in quickly generating custom connector using OOB wizard. Similarly, organizations in need of not only flexible on-boarding of disconnected applications but also strict access management to these applications using approval flows will find the flexible disconnected application profiling feature an extremely useful tool that provides a high degree of time savings. Organizations looking to develop custom connectors for home grown or industry specific applications will likewise find that the Identity Connector Framework support in OIM allows them to build and test a custom connector independently before integrating it with OIM. Lastly, most of our clients considering an upgrade to OIM 11gR2 have also expressed interest in the browser based configuration feature that allows an administrator to quickly customize the user interface without adding any custom code. Better yet, code customizations, if any, made to the product are portable across the future upgrades which, is viewed as a big time and money saver by most of our clients. Below are some upgrade methodologies we adopt based on client priorities and the scale of implementation. For illustration purposes, we have assumed that the client is currently on Oracle Waveset (formerly Sun Identity Manager). Integrated Deployment: The integrated deployment is typically where a client wants to split the implementation to where their current IDM is continuing to handle the front end workflows and OIM takes over the back office operations incrementally. Once all the back office operations are moved completely to OIM, the front end workflows are migrated to OIM. Parallel Deployment: This deployment is typically done where there can be a distinct line drawn between which functionality the platforms are supporting. For example the current IDM implementation is handling the password reset functionality while OIM takes over the access provisioning and RBAC functions. Cutover Deployment: A cutover deployment is typically recommended where a client has smaller less complex implementations and it makes sense to leverage the migration tools to move them over immediately. What does this mean for YOU? There are many variables to consider when making upgrade decisions. For most customers, there is no ‘easy’ button. Organizations looking to upgrade or considering a new vendor should start by doing a mapping of their requirements with product features. The recommended approach is to take stock of both the short term and long term objectives, understand product features, future roadmap, maturity and level of commitment from the R&D and build the implementation plan accordingly. As we said, in the beginning, there is no one-size-fits-all with Identity Management. So, arm yourself with the knowledge, engage in industry discussions, bring in business stakeholders and start building your implementation roadmap. In the next post we will discuss the best practices on R2 implementations. We will be covering the Do's and Don't's and share our thoughts on making implementations successful. Meet the Writers: Dharma Padala is a Director in the Advisory Security practice within PwC. He has been implementing medium to large scale Identity Management solutions across multiple industries including utility, health care, entertainment, retail and financial sectors. Dharma has 14 years of experience in delivering IT solutions out of which he has been implementing Identity Management solutions for the past 8 years. Scott MacDonald is a Director in the Advisory Security practice within PwC. He has consulted for several clients across multiple industries including financial services, health care, automotive and retail. Scott has 10 years of experience in delivering Identity Management solutions. John Misczak is a member of the Advisory Security practice within PwC. He has experience implementing multiple Identity and Access Management solutions, specializing in Oracle Identity Manager and Business Process Engineering Language (BPEL). Praveen Krishna is a Manager in the Advisory Security practice within PwC. Over the last decade Praveen has helped clients plan, architect and implement Oracle identity solutions across diverse industries. His experience includes delivering security across diverse topics like network, infrastructure, application and data where he brings a holistic point of view to problem solving. Jenny (Xiao) Zhang is a member of the Advisory Security practice within PwC. She has consulted across multiple industries including financial services, entertainment and retail. Jenny has three years of experience in delivering IT solutions out of which she has been implementing Identity Management solutions for the past one and a half years.

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SQL SERVER – Weekly Series – Memory Lane – #032

- by Pinal Dave

Here is the list of selected articles of SQLAuthority.com across all these years. Instead of just listing all the articles I have selected a few of my most favorite articles and have listed them here with additional notes below it. Let me know which one of the following is your favorite article from memory lane. 2007 Complete Series of Database Coding Standards and Guidelines SQL SERVER Database Coding Standards and Guidelines – Introduction SQL SERVER – Database Coding Standards and Guidelines – Part 1 SQL SERVER – Database Coding Standards and Guidelines – Part 2 SQL SERVER Database Coding Standards and Guidelines Complete List Download Explanation and Example – SELF JOIN When all of the data you require is contained within a single table, but data needed to extract is related to each other in the table itself. Examples of this type of data relate to Employee information, where the table may have both an Employee’s ID number for each record and also a field that displays the ID number of an Employee’s supervisor or manager. To retrieve the data tables are required to relate/join to itself. Insert Multiple Records Using One Insert Statement – Use of UNION ALL This is very interesting question I have received from new developer. How can I insert multiple values in table using only one insert? Now this is interesting question. When there are multiple records are to be inserted in the table following is the common way using T-SQL. Function to Display Current Week Date and Day – Weekly Calendar Straight blog post with script to find current week date and day based on the parameters passed in the function. 2008 In my beginning years, I have almost same confusion as many of the developer had in their earlier years. Here are two of the interesting question which I have attempted to answer in my early year. Even if you are experienced developer may be you will still like to read following two questions: Order Of Column In Index Order of Conditions in WHERE Clauses Example of DISTINCT in Aggregate Functions Have you ever used DISTINCT with the Aggregation Function? Here is a simple example about how users can do it. Create a Comma Delimited List Using SELECT Clause From Table Column Straight to script example where I explained how to do something easy and quickly. Compound Assignment Operators SQL SERVER 2008 has introduced new concept of Compound Assignment Operators. Compound Assignment Operators are available in many other programming languages for quite some time. Compound Assignment Operators is operator where variables are operated upon and assigned on the same line. PIVOT and UNPIVOT Table Examples Here is a very interesting question – the answer to the question can be YES or NO both. “If we PIVOT any table and UNPIVOT that table do we get our original table?” Read the blog post to get the explanation of the question above. 2009 What is Interim Table – Simple Definition of Interim Table The interim table is a table that is generated by joining two tables and not the final result table. In other words, when two tables are joined they create an interim table as resultset but the resultset is not final yet. It may be possible that more tables are about to join on the interim table, and more operations are still to be applied on that table (e.g. Order By, Having etc). Besides, it may be possible that there is no interim table; sometimes final table is what is generated when the query is run. 2010 Stored Procedure and Transactions If Stored Procedure is transactional then, it should roll back complete transactions when it encounters any errors. Well, that does not happen in this case, which proves that Stored Procedure does not only provide just the transactional feature to a batch of T-SQL. Generate Database Script for SQL Azure When talking about SQL Azure the most common complaint I hear is that the script generated from stand-along SQL Server database is not compatible with SQL Azure. This was true for some time for sure but not any more. If you have SQL Server 2008 R2 installed you can follow the guideline below to generate a script which is compatible with SQL Azure. Convert IN to EXISTS – Performance Talk It is NOT necessary that every time when IN is replaced by EXISTS it gives better performance. However, in our case listed above it does for sure give better performance. You can read about this subject in the associated blog post. Subquery or Join – Various Options – SQL Server Engine Knows the Best Every single time whenever there is a performance tuning exercise, I hear the conversation from developer where some prefer subquery and some prefer join. In this two part blog post, I explain the same in the detail with examples. Part 1 | Part 2 Merge Operations – Insert, Update, Delete in Single Execution MERGE is a new feature that provides an efficient way to do multiple DML operations. In earlier versions of SQL Server, we had to write separate statements to INSERT, UPDATE, or DELETE data based on certain conditions; however, at present, by using the MERGE statement, we can include the logic of such data changes in one statement that even checks when the data is matched and then just update it, and similarly, when the data is unmatched, it is inserted. 2011 Puzzle – Statistics are not updated but are Created Once Here is the quick scenario about my setup. Create Table Insert 1000 Records Check the Statistics Now insert 10 times more 10,000 indexes Check the Statistics – it will be NOT updated – WHY? Question to You – When to use Function and When to use Stored Procedure Personally, I believe that they are both different things - they cannot be compared. I can say, it will be like comparing apples and oranges. Each has its own unique use. However, they can be used interchangeably at many times and in real life (i.e., production environment). I have personally seen both of these being used interchangeably many times. This is the precise reason for asking this question. 2012 In year 2012 I had two interesting series ran on the blog. If there is no fun in learning, the learning becomes a burden. For the same reason, I had decided to build a three part quiz around SEQUENCE. The quiz was to identify the next value of the sequence. I encourage all of you to take part in this fun quiz. Guess the Next Value – Puzzle 1 Guess the Next Value – Puzzle 2 Guess the Next Value – Puzzle 3 Guess the Next Value – Puzzle 4 Simple Example to Configure Resource Governor – Introduction to Resource Governor Resource Governor is a feature which can manage SQL Server Workload and System Resource Consumption. We can limit the amount of CPU and memory consumption by limiting /governing /throttling on the SQL Server. If there are different workloads running on SQL Server and each of the workload needs different resources or when workloads are competing for resources with each other and affecting the performance of the whole server resource governor is a very important task. Tricks to Replace SELECT * with Column Names – SQL in Sixty Seconds #017 – Video Retrieves unnecessary columns and increases network traffic When a new columns are added views needs to be refreshed manually Leads to usage of sub-optimal execution plan Uses clustered index in most of the cases instead of using optimal index It is difficult to debug SQL SERVER – Load Generator – Free Tool From CodePlex The best part of this SQL Server Load Generator is that users can run multiple simultaneous queries again SQL Server using different login account and different application name. The interface of the tool is extremely easy to use and very intuitive as well. A Puzzle – Swap Value of Column Without Case Statement Let us assume there is a single column in the table called Gender. The challenge is to write a single update statement which will flip or swap the value in the column. For example if the value in the gender column is ‘male’ swap it with ‘female’ and if the value is ‘female’ swap it with ‘male’. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Memory Lane, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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J2EE Applications, SPARC T4, Solaris Containers, and Resource Pools

- by user12620111

I've obtained a substantial performance improvement on a SPARC T4-2 Server running a J2EE Application Server Cluster by deploying the cluster members into Oracle Solaris Containers and binding those containers to cores of the SPARC T4 Processor. This is not a surprising result, in fact, it is consistent with other results that are available on the Internet. See the "references", below, for some examples. Nonetheless, here is a summary of my configuration and results. (1.0) Before deploying a J2EE Application Server Cluster into a virtualized environment, many decisions need to be made. I'm not claiming that all of the decisions that I have a made will work well for every environment. In fact, I'm not even claiming that all of the decisions are the best possible for my environment. I'm only claiming that of the small sample of configurations that I've tested, this is the one that is working best for me. Here are some of the decisions that needed to be made: (1.1) Which virtualization option? There are several virtualization options and isolation levels that are available. Options include: Hard partitions: Dynamic Domains on Sun SPARC Enterprise M-Series Servers Hypervisor based virtualization such as Oracle VM Server for SPARC (LDOMs) on SPARC T-Series Servers OS Virtualization using Oracle Solaris Containers Resource management tools in the Oracle Solaris OS to control the amount of resources an application receives, such as CPU cycles, physical memory, and network bandwidth. Oracle Solaris Containers provide the right level of isolation and flexibility for my environment. To borrow some words from my friends in marketing, "The SPARC T4 processor leverages the unique, no-cost virtualization capabilities of Oracle Solaris Zones" (1.2) How to associate Oracle Solaris Containers with resources? There are several options available to associate containers with resources, including (a) resource pool association (b) dedicated-cpu resources and (c) capped-cpu resources. I chose to create resource pools and associate them with the containers because I wanted explicit control over the cores and virtual processors. (1.3) Cluster Topology? Is it best to deploy (a) multiple application servers on one node, (b) one application server on multiple nodes, or (c) multiple application servers on multiple nodes? After a few quick tests, it appears that one application server per Oracle Solaris Container is a good solution. (1.4) Number of cluster members to deploy? I chose to deploy four big 64-bit application servers. I would like go back a test many 32-bit application servers, but that is left for another day. (2.0) Configuration tested. (2.1) I was using a SPARC T4-2 Server which has 2 CPU and 128 virtual processors. To understand the physical layout of the hardware on Solaris 10, I used the OpenSolaris psrinfo perl script available at http://hub.opensolaris.org/bin/download/Community+Group+performance/files/psrinfo.pl: test# ./psrinfo.pl -pv The physical processor has 8 cores and 64 virtual processors (0-63) The core has 8 virtual processors (0-7) The core has 8 virtual processors (8-15) The core has 8 virtual processors (16-23) The core has 8 virtual processors (24-31) The core has 8 virtual processors (32-39) The core has 8 virtual processors (40-47) The core has 8 virtual processors (48-55) The core has 8 virtual processors (56-63) SPARC-T4 (chipid 0, clock 2848 MHz) The physical processor has 8 cores and 64 virtual processors (64-127) The core has 8 virtual processors (64-71) The core has 8 virtual processors (72-79) The core has 8 virtual processors (80-87) The core has 8 virtual processors (88-95) The core has 8 virtual processors (96-103) The core has 8 virtual processors (104-111) The core has 8 virtual processors (112-119) The core has 8 virtual processors (120-127) SPARC-T4 (chipid 1, clock 2848 MHz) (2.2) The "before" test: without processor binding. I started with a 4-member cluster deployed into 4 Oracle Solaris Containers. Each container used a unique gigabit Ethernet port for HTTP traffic. The containers shared a 10 gigabit Ethernet port for JDBC traffic. (2.3) The "after" test: with processor binding. I ran one application server in the Global Zone and another application server in each of the three non-global zones (NGZ): (3.0) Configuration steps. The following steps need to be repeated for all three Oracle Solaris Containers. (3.1) Stop AppServers from the BUI. (3.2) Stop the NGZ. test# ssh test-z2 init 5 (3.3) Enable resource pools: test# svcadm enable pools (3.4) Create the resource pool: test# poolcfg -dc 'create pool pool-test-z2' (3.5) Create the processor set: test# poolcfg -dc 'create pset pset-test-z2' (3.6) Specify the maximum number of CPU's that may be addd to the processor set: test# poolcfg -dc 'modify pset pset-test-z2 (uint pset.max=32)' (3.7) bash syntax to add Virtual CPUs to the processor set: test# (( i = 64 )); while (( i < 96 )); do poolcfg -dc "transfer to pset pset-test-z2 (cpu $i)"; (( i = i + 1 )) ; done (3.8) Associate the resource pool with the processor set: test# poolcfg -dc 'associate pool pool-test-z2 (pset pset-test-z2)' (3.9) Tell the zone to use the resource pool that has been created: test# zonecfg -z test-z1 set pool=pool-test-z2 (3.10) Boot the Oracle Solaris Container test# zoneadm -z test-z2 boot (3.11) Save the configuration to /etc/pooladm.conf test# pooladm -s (4.0) Results. Using the resource pools improves both throughput and response time: (5.0) References: System Administration Guide: Oracle Solaris Containers-Resource Management and Oracle Solaris Zones Capitalizing on large numbers of processors with WebSphere Portal on Solaris WebSphere Application Server and T5440 (Dileep Kumar's Weblog) http://www.brendangregg.com/zones.html Reuters Market Data System, RMDS 6 Multiple Instances (Consolidated), Performance Test Results in Solaris, Containers/Zones Environment on Sun Blade X6270 by Amjad Khan, 2009.

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SQL SERVER – 2012 – List All The Column With Specific Data Types in Database

- by pinaldave

5 years ago I wrote script SQL SERVER – 2005 – List All The Column With Specific Data Types, when I read it again, it is very much relevant and I liked it. This is one of the script which every developer would like to keep it handy. I have upgraded the script bit more. I have included few additional information which I believe I should have added from the beginning. It is difficult to visualize the final script when we are writing it first time. I use every script which I write on this blog, the matter of the fact, I write only those scripts here which I was using at that time. It is quite possible that as time passes by my needs are changing and I change my script. Here is the updated script of this subject. If there are any user data types, it will list the same as well. SELECT s.name AS 'schema', ts.name AS TableName, c.name AS column_name, c.column_id, SCHEMA_NAME(t.schema_id) AS DatatypeSchema, t.name AS Datatypename ,t.is_user_defined, t.is_assembly_type ,c.is_nullable, c.max_length, c.PRECISION, c.scale FROM sys.columns AS c INNER JOIN sys.types AS t ON c.user_type_id=t.user_type_id INNER JOIN sys.tables ts ON ts.OBJECT_ID = c.OBJECT_ID INNER JOIN sys.schemas s ON s.schema_id = t.schema_id ORDER BY s.name, ts.name, c.column_id I would be very interested to see your script which lists all the columns of the database with data types. If I am missing something in my script, I will modify it based on your comment. This way this page will be a good bookmark for the future for all of us. Reference : Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL DMV, SQL Query, SQL Server, SQL System Table, SQL Tips and Tricks, T SQL, Technology

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Sesame Data Browser: filtering, sorting, selecting and linking

- by Fabrice Marguerie

I have deferred the post about how Sesame is built in favor of publishing a new update.This new release offers major features such as the ability to quickly filter and sort data, select columns, and create hyperlinks to OData. Filtering, sorting, selecting In order to filter data, you just have to use the filter row, which becomes available when you click on the funnel button: You can then type some text and select an operator: The data grid will be refreshed immediately after you apply a filter. It works in the same way for sorting. Clicking on a column will immediately update the query and refresh the grid.Note that multi-column sorting is possible by using SHIFT-click: Viewing data is not enough. You can also view and copy the query string that returns that data: One more thing you can to shape data is to select which columns are displayed. Simply use the Column Chooser and you'll be done: Again, this will update the data and query string in real time: Linking to Sesame, linking to OData The other main feature of this release is the ability to create hyperlinks to Sesame. That's right, you can ask Sesame to give you a link you can display on a webpage, send in an email, or type in a chat session. You can get a link to a connection: or to a query: You'll note that you can also decide to embed Sesame in a webpage... Here are some sample links created via Sesame: Netflix movies with high ratings, sorted by release year Netflix horror movies from the 21st century Northwind discontinued products with remaining stock Netflix empty connection I'll give more examples in a post to follow. There are many more minor improvements in this release, but I'll let you find out about them by yourself :-)Please try Sesame Data Browser now and let me know what you think! PS: if you use Sesame from the desktop, please use the "Remove this application" command in the context menu of the destkop app and then "Install on desktop" again in your web browser. I'll activate automatic updates with the next release.

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Output = MAXDOP 1

- by Dave Ballantyne

It is widely know that data modifications on table variables do not support parallelism, Peter Larsson has a good example of that here . Whilst tracking down a performance issue, I saw that using the OUTPUT clause also causes parallelism to not be used. By way of example, first lets create two tables with a simple parent and child (one to one) relationship, and then populate them with 100,000 rows. Drop table ParentDrop table Childgocreate table Parent(id integer identity Primary Key,data1 char(255))Create Table Child(id integer Primary Key)goinsert into Parent(data1)Select top 1000000 NULL from sys.columns a cross join sys.columns b insert into ChildSelect id from Parentgo If we then execute update Parent set data1 =''from Parentjoin Child on Parent.Id = Child.Id where Parent.Id %100 =1 and Child.id %100 =1 We should see an execution plan using parallelism such as However, if the OUTPUT clause is now used update Parent set data1 =''output inserted.idfrom Parentjoin Child on Parent.Id = Child.Id where Parent.Id %100 =1 and Child.id %100 =1 The execution plan shows that Parallelism was not used Make of that what you will, but i thought that this was a pretty unexpected outcome. Update : Laurence Hoff has mailed me to note that when the OUTPUT results are captured to a temporary table using the INTO clause, then parallelism is used. Naturally if you use a table variable then there is still no parallelism

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Convert a Row to a Column (or Backwards) in Google Docs Spreadsheets

- by The Geek

If you have to deal with a lot of spreadsheets, you’re probably really bored right now. You also might be wondering how to turn a row into a column, or a column into a row. Here’s how to do it with Google Docs Spreadsheets. If you’re an Excel user, you’re also in luck, because we’ve already shown you how to turn a row into a column, or vice-versa. It won’t make you any less bored though. Convert a Row to a Column (or backwards) The first thing you’ll need is a column or a row of information that you want to convert into the opposite. For our example, we’ve got this set of data that we created by using the Auto Fill options in Google Docs. Now in another cell, you’ll need to use the TRANSPOSE function, which you can use by simply typing in the following: =TRANSPOSE( And then selecting the cells with the mouse, or manually typing in the range of cells you want to copy. The final function in this example was: =TRANSPOSE(A1:A11) Finish it off with the final ) character to complete the function, hit the Enter key, and there we are… the column was transposed over to the right. You can use the same thing to turn columns into rows, or rows into columns—just change the range you are looking for. Similar Articles Productive Geek Tips How To Use AutoFill on a Google Docs Spreadsheet [Quick Tips]Integrate Google Docs with Outlook the Easy WayHow To Export Documents from Google Docs to Your ComputerConvert a Row to a Column in Excel the Easy WayScroll Backwards From the Ubuntu Server Command Line TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips DVDFab 6 Revo Uninstaller Pro Registry Mechanic 9 for Windows PC Tools Internet Security Suite 2010 Check Your IMAP Mail Offline In Thunderbird Follow Finder Finds You Twitter Users To Follow Combine MP3 Files Easily QuicklyCode Provides Cheatsheets & Other Programming Stuff Download Free MP3s from Amazon Awe inspiring, inter-galactic theme (Win 7)

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Free NOSQL database for use with C# client [closed]

- by Mitten

I've never used NOSQL databases before, but so far it seems like the best data storage solution for my project. I am going to implement a datamining application. The data I would like to mine is thousands of documents which cannot be imported into datamining applications. To make to import easier and faster (than importing thousands of documents) I am planning to import these documents into a NOSQL database first and when import NOSQL database into datamining software. At the very least once I have all the data in NOSQL database I should be able to code simplest datamining logic myself. Am I correct that NOSQL databases allow to creates records of data, but they don't mandate all the records to adhere to the same data schema (same column names/types in a classic table oriended SQL databases)? I think for each document I would create a row/entry/object (not sure what is the correct term is in use in NOSQL world) which would be a string id, few (columns) with unstructured text data, and a dozens of columns mostly of datetime and integer types. From its name NOSQL does not support SQL query syntax, but it support locating the object(row/entry?) by its unique id. Does NOSQL support qyuering objects using property=value syntax? Unfortunately most of free NOSQL db only support Java/C++ clients, which free NOSQL db would you recommend for a C# programmer?

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Sharing A Stage: JDeveloper/ADF & NetBeans/Java EE 6?

- by Geertjan

A highlight for me during last week's Oracle Developer Day in Romania (which I blogged about here) was meeting Jernej Kaše (who is from Slovenia, just like my philosopher hero Slavoj Žižek), who is an Oracle Fusion Middleware evangelist. At the conference, while I was presenting NetBeans and Java EE 6 in one room, Jernej was presenting JDeveloper and ADF in another room. The application he created looks as follows, i.e., a realistic CRUD app, with a master/detail view, a search feature, and validation: In a conversation during a break, we started imagining a scenario where the two of us would be on the same stage, taking turns talking about NetBeans/Java EE and JDeveloper/ADF. In that way, attendees at a conference wouldn't need to choose which of the two topics to attend, because they'd be handled in the same session, with the session possibly being longer so that sufficient time could be spent on the respective technologies. (The JDeveloper/ADF session would then not be competing with the NetBeans/Java EE 6 session, since they'd be handled simultaneously.) The session would focus on the similarities/differences between the two respective tools/solutions, which would be extremely interesting and also unique. The crucial question in making this kind of co-presentation possible is whether (and how quickly) an application such as the one created above with JDeveloper/ADF could be created with NetBeans/Java EE 6. The NetBeans/Java EE 6 story is extremely strong on the model and controler levels, but less strong on the view layer. Though there are choices between using PrimeFaces, RichFaces, and IceFaces, that support is quite limited in the absence of a visual designer or of other specific tools (e.g., code generators to generate snippets of PrimeFaces) connected to JSF component libraries. However, it so happens that in recent months we at NetBeans have established really good connections with the PrimeFaces team (more about that another time). So I asked them what it would take to write the above UI in PrimeFaces. The PrimeFaces team were very helpful. They sent me the following screenshot, which is of the UI they created in PrimeFaces, reproducing the ADF screenshot above: Of course, the above is purely the UI layer, there's no EJB and entity classes and data connection hooked into it yet. However, this is the Facelets file that the PrimeFaces team sent me, i.e., using the PrimeFaces component library, that produces the above result: <?xml version="1.0" encoding="UTF-8"?> <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> <html xmlns="http://www.w3.org/1999/xhtml" xmlns:h="http://java.sun.com/jsf/html" xmlns:f="http://java.sun.com/jsf/core" xmlns:p="http://primefaces.org/ui"> <f:view> <h:head> <style type="text/css"> .alignRight { text-align: right; } .alignLeft { text-align: left; } .alignTop { vertical-align: top; } .ui-validation-required { color: red; font-size: 14px; margin-right: 5px; position: relative; vertical-align: top; } .ui-selectonemenu .ui-selectonemenu-trigger .ui-icon { margin-top: 7px !important; } </style> </h:head> <h:body> <h:form prependId="false" id="form"> <p:panel header="Employees"> <h:panelGrid columns="4" id="searchPanel"> Search <p:selectOneMenu> <f:selectItem itemLabel="FirstName" itemValue="FirstName" /> <f:selectItem itemLabel="LastName" itemValue="LastName" /> <f:selectItem itemLabel="Email" itemValue="Email" /> <f:selectItem itemLabel="PhoneNumber" itemValue="PhoneNumber" /> </p:selectOneMenu> <p:inputText /> <p:commandLink process="searchPanel" update="@form"> <h:graphicImage name="next.gif" library="img" /> </p:commandLink> </h:panelGrid> <h:panelGrid columns="3" columnClasses="alignTop,,alignTop" style="width:90%;margin-left:10%"> <h:panelGrid columns="2" columnClasses="alignRight,alignLeft"> <h:outputLabel for="firstName">FirstName</h:outputLabel> <p:inputText id="firstName" /> <h:outputLabel for="lastName"> <sup class="ui-validation-required">*</sup>LastName </h:outputLabel> <p:inputText id="lastName" style="width:250px;" /> <h:outputLabel for="email"> <sup class="ui-validation-required">*</sup>Email </h:outputLabel> <p:inputText id="email" style="width:250px;" /> <h:outputLabel for="phoneNumber" value="PhoneNumber" /> <p:inputMask id="phoneNumber" mask="999.999.9999" /> <h:outputLabel for="hireDate"> <sup class="ui-validation-required">*</sup>HireDate</h:outputLabel> <p:calendar id="hireDate" pattern="MM/dd/yyyy" showOn="button" /> </h:panelGrid> <p:outputPanel style="min-width:40px;" /> <h:panelGrid columns="2" columnClasses="alignRight,alignLeft"> <h:outputLabel for="jobId"> <sup class="ui-validation-required">*</sup>JobId </h:outputLabel> <p:selectOneMenu id="jobId" > <f:selectItem itemLabel="Administration Vice President" itemValue="Administration Vice President" /> <f:selectItem itemLabel="Vice President" itemValue="Vice President" /> </p:selectOneMenu> <h:outputLabel for="salary">Salary</h:outputLabel> <p:inputText id="salary" styleClass="alignRight" /> <h:outputLabel for="commissionPct">CommissionPct</h:outputLabel> <p:inputText id="commissionPct" style="width:30px;" maxlength="3" /> <h:outputLabel for="manager">ManagerId</h:outputLabel> <p:selectOneMenu id="manager"> <f:selectItem itemLabel="Steven King" itemValue="Steven" /> <f:selectItem itemLabel="Michael Cook" itemValue="Michael" /> <f:selectItem itemLabel="John Benjamin" itemValue="John" /> <f:selectItem itemLabel="Dav Glass" itemValue="Dav" /> </p:selectOneMenu> <h:outputLabel for="department">DepartmentId</h:outputLabel> <p:selectOneMenu id="department"> <f:selectItem itemLabel="90" itemValue="90" /> <f:selectItem itemLabel="80" itemValue="80" /> <f:selectItem itemLabel="70" itemValue="70" /> <f:selectItem itemLabel="60" itemValue="60" /> <f:selectItem itemLabel="50" itemValue="50" /> <f:selectItem itemLabel="40" itemValue="40" /> <f:selectItem itemLabel="30" itemValue="30" /> <f:selectItem itemLabel="20" itemValue="20" /> </p:selectOneMenu> </h:panelGrid> </h:panelGrid> <p:outputPanel id="buttonPanel"> <p:commandButton value="First" process="@this" update="@form" /> <p:commandButton value="Previous" process="@this" update="@form" style="margin-left:15px;" /> <p:commandButton value="Next" process="@this" update="@form" style="margin-left:15px;" /> <p:commandButton value="Last" process="@this" update="@form" style="margin-left:15px;" /> </p:outputPanel> <p:tabView style="margin-top:25px"> <p:tab title="Job History"> <p:dataTable var="history"> <p:column headerText="StartDate"> <h:outputText value="#{history.startDate}"> <f:convertDateTime pattern="MM/dd/yyyy" /> </h:outputText> </p:column> <p:column headerText="EndDate"> <h:outputText value="#{history.endDate}"> <f:convertDateTime pattern="MM/dd/yyyy" /> </h:outputText> </p:column> <p:column headerText="JobId"> <h:outputText value="#{history.jobId}" /> </p:column> <p:column headerText="DepartmentId"> <h:outputText value="#{history.departmentIdId}" /> </p:column> </p:dataTable> </p:tab> </p:tabView> </p:panel> </h:form> </h:body> </f:view> </html> Right now, NetBeans IDE only has code completion to create the above. So there's not much help for creating such a UI right now. I don't believe that a visual designer is mandatory to create the above. A few code generators and file templates could do the job too. And I'm looking forward to seeing those kinds of tools for PrimeFaces, as well as other JSF component libraries, appearing in NetBeans IDE in upcoming releases. A related option would be for the NetBeans generated CRUD app to include the option of having a master/detail view, as well as the option of having a search feature, i.e., the application generators would provide the option of having additional features typical in Java enterprise apps. In the absence of such tools, there still is room, I believe, for NetBeans/Java EE and JDeveloper/ADF sharing a stage at a conference. The above file would have been prepared up front and the presenter would state that fact. The UI layer is only one aspect of a Java EE 6 application, so that the presenter would have ample other features to show (i.e., the entity class generation, the tools for working with servlets, with session beans, etc) prior to getting to the point where the statement would be made: "On the UI layer, I have prepared this Facelets file, which I will now show you can be connected to the lower layers of the application as follows." At that point, the session beans could be hooked into the Facelets file, the file would be saved, the browser refreshed, and then the whole application would work exactly as the ADF application does. So, Jernej, let's share a stage soon!

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Conditional styles and templates with RadGridView for Silverlight and WPF

Im happy to announce that with our upcoming Q1 2010 Service Pack 1 (middle of April) you will be able to apply conditionally styles and templates for RadGridView easily using DataTemplateSelectors and StyleSelectors for both Silverlight and WPF: You can test the new functionally with our upcoming latest internal build this Friday and in the meantime here is an example: XAML <Grid x:Name="LayoutRoot"> <Grid.Resources> <local:MyStyleSelector x:Key="styleSelector" /> <local:MyDataTemplateSelector x:Key="templateSelector" /> </Grid.Resources> <telerik:RadGridView AutoGenerateColumns="False" ItemsSource="{Binding}" RowStyleSelector="{StaticResource styleSelector}"> <telerik:RadGridView.Columns> <telerik:GridViewDataColumn DataMemberBinding="{Binding ID}" CellTemplateSelector="{StaticResource templateSelector}" /> </telerik:RadGridView.Columns> </telerik:RadGridView></Grid> C# public class MyStyleSelector : StyleSelector{ public override ...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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SQL SERVER – ORDER BY ColumnName vs ORDER BY ColumnNumber

- by pinaldave

I strongly favor ORDER BY ColumnName. I read one of the blog post where blogger compared the performance of the two SELECT statement and come to conclusion that ColumnNumber has no harm to use it. Let us understand the point made by first that there is no performance difference. Run following two scripts together: USE AdventureWorks GO -- ColumnName (Recommended) SELECT * FROM HumanResources.Department ORDER BY GroupName, Name GO -- ColumnNumber (Strongly Not Recommended) SELECT * FROM HumanResources.Department ORDER BY 3,2 GO If you look at the result and see the execution plan you will see that both of the query will take the same amount of the time. However, this was not the point of this blog post. It is not good enough to stop here. We need to understand the advantages and disadvantages of both the methods. Case 1: When Not Using * and Columns are Re-ordered USE AdventureWorks GO -- ColumnName (Recommended) SELECT GroupName, Name, ModifiedDate, DepartmentID FROM HumanResources.Department ORDER BY GroupName, Name GO -- ColumnNumber (Strongly Not Recommended) SELECT GroupName, Name, ModifiedDate, DepartmentID FROM HumanResources.Department ORDER BY 3,2 GO Case 2: When someone changes the schema of the table affecting column order I will let you recreate the example for the same. If your development server where your schema is different than the production server, if you use ColumnNumber, you will get different results on the production server. Summary: When you develop the query it may not be issue but as time passes by and new columns are added to the SELECT statement or original table is re-ordered if you have used ColumnNumber it may possible that your query will start giving you unexpected results and incorrect ORDER BY. One should note that the usage of ORDER BY ColumnName vs ORDER BY ColumnNumber should not be done based on performance but usability and scalability. It is always recommended to use proper ORDER BY clause with ColumnName to avoid any confusion. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Pinal Dave, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology

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How do I Delete a View? How do I Create a View?

- by Paula DiTallo

Before I create views, I generally work out what I want to retrieve in my SELECT statement ahead of time so I'll just have to cut and paste the query. The example below is done in T-SQL/Sybase format, however for Oracle and MySQL, just place a semi-colon ';' at the end of your statement and remove the 'GO' command. To drop (delete) an existing view: DROP VIEW vw_rpt_metroBestCustomers GO To create a view: CREATE VIEW vw_rpt_metroBestCustomers ( CustomerName, OfficeNum, City, StateOrProv, Country, ZipCode ) AS SELECT a.FirstName + ', ' + a.LastName, b.OfficePhoneNum, c.City, c.StateOrProvAbbr, c.Country, c.PostalCode FROM Customer a, CustLocAssoc x, CustContactAssoc y, Location c, Contact b WHERE a.CustID = x.CustID AND a.CustID = y.CustID AND y.ContactID = b.ContactID AND x.LocID = c.LocID AND a.LoyaltyMedian > 85.5 GO I frequently rename columns when developing views to makeit easier for simple, text-based reporting--however, renamingthe columns isn't necessary.The create view statement above could have been writtenas follows:CREATE VIEW vw_rpt_metroBestCustomersAS (SELECT a.FirstName + ', ' + a.LastName, b.OfficePhoneNum, c.City, c.StateOrProvAbbr, c.Country, c.PostalCode FROM Customer a, CustLocAssoc x, CustContactAssoc y, Location c, Contact b WHERE a.CustID = x.CustID AND a.CustID = y.CustID AND y.ContactID = b.ContactID AND x.LocID = c.LocID AND a.LoyaltyMedian > 85.5 )GO

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Data Aggregation of CSV files java

- by royB

I have k csv files (5 csv files for example), each file has m fields which produce a key and n values. I need to produce a single csv file with aggregated data. I'm looking for the most efficient solution for this problem, speed mainly. I don't think by the way that we will have memory issues. Also I would like to know if hashing is really a good solution because we will have to use 64 bit hashing solution to reduce the chance for a collision to less than 1% (we are having around 30000000 rows per aggregation). For example file 1: f1,f2,f3,v1,v2,v3,v4 a1,b1,c1,50,60,70,80 a3,b2,c4,60,60,80,90 file 2: f1,f2,f3,v1,v2,v3,v4 a1,b1,c1,30,50,90,40 a3,b2,c4,30,70,50,90 result: f1,f2,f3,v1,v2,v3,v4 a1,b1,c1,80,110,160,120 a3,b2,c4,90,130,130,180 algorithm that we thought until now: hashing (using concurentHashTable) merge sorting the files DB: using mysql or hadoop or redis. The solution needs to be able to handle Huge amount of data (each file more than two million rows) a better example: file 1 country,city,peopleNum england,london,1000000 england,coventry,500000 file 2: country,city,peopleNum england,london,500000 england,coventry,500000 england,manchester,500000 merged file: country,city,peopleNum england,london,1500000 england,coventry,1000000 england,manchester,500000 The key is: country,city. This is just an example, my real key is of size 6 and the data columns are of size 8 - total of 14 columns. We would like that the solution will be the fastest in regard of data processing.

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SQL SERVER – Validating Unique Columnname Across Whole Database

- by pinaldave

I sometimes come across very strange requirements and often I do not receive a proper explanation of the same. Here is the one of those examples. Asker: “Our business requirement is when we add new column we want it unique across current database.” Pinal: “Why do you have such requirement?” Asker: “Do you know the solution?” Pinal: “Sure I can come up with the answer but it will help me to come up with an optimal answer if I know the business need.” Asker: “Thanks – what will be the answer in that case.” Pinal: “Honestly I am just curious about the reason why you need your column name to be unique across database.” (Silence) Pinal: “Alright – here is the answer – I guess you do not want to tell me reason.” Option 1: Check if Column Exists in Current Database IF EXISTS ( SELECT * FROM sys.columns WHERE Name = N'NameofColumn') BEGIN SELECT 'Column Exists' -- add other logic END ELSE BEGIN SELECT 'Column Does NOT Exists' -- add other logic END Option 2: Check if Column Exists in Current Database in Specific Table IF EXISTS ( SELECT * FROM sys.columns WHERE Name = N'NameofColumn' AND OBJECT_ID = OBJECT_ID(N'tableName')) BEGIN SELECT 'Column Exists' -- add other logic END ELSE BEGIN SELECT 'Column Does NOT Exists' -- add other logic END I guess user did not want to share the reason why he had a unique requirement of having column name unique across databases. Here is my question back to you – have you faced a similar situation ever where you needed unique column name across a database. If not, can you guess what could be the reason for this kind of requirement? Additional Reference: SQL SERVER – Query to Find Column From All Tables of Database Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL System Table, SQL Tips and Tricks, T SQL, Technology

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Knockout with ASP.Net MVC2 - HTML Extension Helpers for input controls

- by Renso

Goal: Defining Knockout-style input controls can be tedious and also may be something that you may find obtrusive, mixing your HTML with data bind syntax as well as binding your aspx, ascx files to Knockout. The goal is to make specifying Knockout specific HTML tags easy, seamless really, as well as being able to remove references to Knockout easily. Environment considerations: ASP.Net MVC2 or later Knockoutjs.js How to: public static class HtmlExtensions { public static string DataBoundCheckBox(this HtmlHelper helper, string name, bool isChecked, object htmlAttributes) { var builder = new TagBuilder("input"); var dic = new RouteValueDictionary(htmlAttributes) { { "data-bind", String.Format("checked: {0}", name) } }; builder.MergeAttributes(dic); builder.MergeAttribute("type", @"checkbox"); builder.MergeAttribute("name", name); builder.MergeAttribute("value", @"true"); if (isChecked) { builder.MergeAttribute("checked", @"checked"); } return builder.ToString(TagRenderMode.SelfClosing); } public static MvcHtmlString DataBoundSelectList(this HtmlHelper helper, string name, IEnumerable<SelectListItem> selectList, String optionLabel) { var attrProperties = new StringBuilder(); attrProperties.Append(String.Format("optionsText: '{0}'", name)); if (!String.IsNullOrEmpty(optionLabel)) attrProperties.Append(String.Format(", optionsCaption: '{0}'", optionLabel)); attrProperties.Append(String.Format(", value: {0}", name)); var dic = new RouteValueDictionary { { "data-bind", attrProperties.ToString() } }; return helper.DropDownList(name, selectList, optionLabel, dic); } public static MvcHtmlString DataBoundSelectList(this HtmlHelper helper, string name, IEnumerable<SelectListItem> selectList, String optionLabel, object htmlAttributes) { var attrProperties = new StringBuilder(); attrProperties.Append(String.Format("optionsText: '{0}'", name)); if (!String.IsNullOrEmpty(optionLabel)) attrProperties.Append(String.Format(", optionsCaption: '{0}'", optionLabel)); attrProperties.Append(String.Format(", value: {0}", name)); var dic = new RouteValueDictionary(htmlAttributes) {{"data-bind", attrProperties}}; return helper.DropDownList(name, selectList, optionLabel, dic); } public static String DataBoundSelectList(this HtmlHelper helper, String options, String optionsText, String value) { return String.Format("<select data-bind=\"options: {0},optionsText: '{1}',value: {2}\"></select>", options, optionsText, value); } public static MvcHtmlString DataBoundTextBox(this HtmlHelper helper, string name, object value, object htmlAttributes) { var dic = new RouteValueDictionary(htmlAttributes); dic.Add("data-bind", String.Format("value: {0}", name)); return helper.TextBox(name, value, dic); } public static MvcHtmlString DataBoundTextBox(this HtmlHelper helper, string name, string observable, object value, object htmlAttributes) { var dic = new RouteValueDictionary(htmlAttributes); dic.Add("data-bind", String.Format("value: {0}", observable)); return helper.TextBox(name, value, dic); } public static MvcHtmlString DataBoundTextArea(this HtmlHelper helper, string name, string value, int rows, int columns, object htmlAttributes) { var dic = new RouteValueDictionary(htmlAttributes); dic.Add("data-bind", String.Format("value: {0}", name)); return helper.TextArea(name, value, rows, columns, dic); } public static MvcHtmlString DataBoundTextArea(this HtmlHelper helper, string name, string observable, string value, int rows, int columns, object htmlAttributes) { var dic = new RouteValueDictionary(htmlAttributes); dic.Add("data-bind", String.Format("value: {0}", observable)); return helper.TextArea(name, value, rows, columns, dic); } public static string BuildUrlFromExpression<T>(this HtmlHelper helper, Expression<Action<T>> action) { var values = CreateRouteValuesFromExpression(action); var virtualPath = helper.RouteCollection.GetVirtualPath(helper.ViewContext.RequestContext, values); if (virtualPath != null) { return virtualPath.VirtualPath; } return null; } public static string ActionLink<T>(this HtmlHelper helper, Expression<Action<T>> action, string linkText) { return helper.ActionLink(action, linkText, null); } public static string ActionLink<T>(this HtmlHelper helper, Expression<Action<T>> action, string linkText, object htmlAttributes) { var values = CreateRouteValuesFromExpression(action); var controllerName = (string)values["controller"]; var actionName = (string)values["action"]; values.Remove("controller"); values.Remove("action"); return helper.ActionLink(linkText, actionName, controllerName, values, new RouteValueDictionary(htmlAttributes)).ToHtmlString(); } public static MvcForm Form<T>(this HtmlHelper helper, Expression<Action<T>> action) { return helper.Form(action, FormMethod.Post); } public static MvcForm Form<T>(this HtmlHelper helper, Expression<Action<T>> action, FormMethod method) { var values = CreateRouteValuesFromExpression(action); string controllerName = (string)values["controller"]; string actionName = (string)values["action"]; values.Remove("controller"); values.Remove("action"); return helper.BeginForm(actionName, controllerName, values, method); } public static MvcForm Form<T>(this HtmlHelper helper, Expression<Action<T>> action, FormMethod method, object htmlAttributes) { var values = CreateRouteValuesFromExpression(action); string controllerName = (string)values["controller"]; string actionName = (string)values["action"]; values.Remove("controller"); values.Remove("action"); return helper.BeginForm(actionName, controllerName, values, method, new RouteValueDictionary(htmlAttributes)); } public static string VertCheckBox(this HtmlHelper helper, string name, bool isChecked) { return helper.CustomCheckBox(name, isChecked, null); } public static string CustomCheckBox(this HtmlHelper helper, string name, bool isChecked, object htmlAttributes) { TagBuilder builder = new TagBuilder("input"); builder.MergeAttributes(new RouteValueDictionary(htmlAttributes)); builder.MergeAttribute("type", "checkbox"); builder.MergeAttribute("name", name); builder.MergeAttribute("value", "true"); if (isChecked) { builder.MergeAttribute("checked", "checked"); } return builder.ToString(TagRenderMode.SelfClosing); } public static string Script(this HtmlHelper helper, string script, object scriptAttributes) { var pathForCRMScripts = ScriptsController.GetPathForCRMScripts(); if (ScriptOptimizerConfig.EnableMinimizedFileLoad) { string newPathForCRM = pathForCRMScripts + "Min/"; ScriptsController.ServerPathMapper = new ServerPathMapper(); string fullPath = ScriptsController.ServerMapPath(newPathForCRM); if (!File.Exists(fullPath + script)) return null; if (!Directory.Exists(fullPath)) return null; pathForCRMScripts = newPathForCRM; } var builder = new TagBuilder("script"); builder.MergeAttributes(new RouteValueDictionary(scriptAttributes)); builder.MergeAttribute("type", @"text/javascript"); builder.MergeAttribute("src", String.Format("{0}{1}", pathForCRMScripts.Replace("~", String.Empty), script)); return builder.ToString(TagRenderMode.SelfClosing); } private static RouteValueDictionary CreateRouteValuesFromExpression<T>(Expression<Action<T>> action) { if (action == null) throw new InvalidOperationException("Action must be provided"); var body = action.Body as MethodCallExpression; if (body == null) { throw new InvalidOperationException("Expression must be a method call"); } if (body.Object != action.Parameters[0]) { throw new InvalidOperationException("Method call must target lambda argument"); } // This will build up a RouteValueDictionary containing the controller name, action name, and any // parameters passed as part of the "action" parameter. string name = body.Method.Name; string controllerName = typeof(T).Name; if (controllerName.EndsWith("Controller", StringComparison.OrdinalIgnoreCase)) { controllerName = controllerName.Remove(controllerName.Length - 10, 10); } var values = BuildParameterValuesFromExpression(body) ?? new RouteValueDictionary(); values.Add("controller", controllerName); values.Add("action", name); return values; } private static RouteValueDictionary BuildParameterValuesFromExpression(MethodCallExpression call) { // Build up a RouteValueDictionary containing parameter names as keys and parameter values // as values based on the MethodCallExpression passed in. var values = new RouteValueDictionary(); ParameterInfo[] parameters = call.Method.GetParameters(); // If the passed in method has no parameters, just return an empty dictionary. if (parameters.Length == 0) { return values; } for (int i = 0; i < parameters.Length; i++) { object parameterValue; Expression expression = call.Arguments[i]; // If the current parameter is a constant, just use its value as the parameter value. var constant = expression as ConstantExpression; if (constant != null) { parameterValue = constant.Value; } else { // Otherwise, compile and execute the expression and use that as the parameter value. var function = Expression.Lambda<Func<object>>(Expression.Convert(expression, typeof(object)), new ParameterExpression[0]); try { parameterValue = function.Compile()(); } catch { parameterValue = null; } } values.Add(parameters[i].Name, parameterValue); } return values; } } Some observations: The first two DataBoundSelectList overloaded methods are specifically built to load the data right into the drop down box as part of the HTML response stream rather than let Knockout's engine populate the options client-side. The third overloaded method does it client-side via the viewmodel. The first two overloads can be done when you have no requirement to add complex JSON objects to your lists. Furthermore, why render and parse the JSON object when you can have it all built and rendered server-side like any other list control.

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Sql Server Prevent Saving Changes That Require Table to be Re-created

When working with SQL Server Management studio, if you use the Design view of a table and attempt to make a change that will require the table to be dropped and re-added, you may receive an error message like this one: Saving changes is not permitted. The changes you have made require the following tables to be dropped and re-created. You have either made changes to a table that cant be re-created or enabled the option Prevent saving changes that require the table to be re-created. In truth, its quite likely that you didnt enable such an option, despite the error dialogs accusations, as it is enabled by default when you install SQL Management Studio. You can learn more about the issue in the KB article, Error message when you try to save a table in SQL Server 2008: Saving changes is not permitted. Warning: As the above article states, it is not recommended that you turn off this option (at least not permanently), as it will ensure that you do not accidentally change the schema of a table such that data is lost. Do so at your peril. The simplest way to bypass this error is to go into Option Designers and uncheck the option Prevent saving changes that require table re-creation. See the screenshot below. The main reason why you will see this error is if you attempted to do any of the following to the table whose design you are saving: Change the Allow Nulls setting for a column Reorder columns Change any columns data type Add a new column The recommended workaround is to script out the changes to a SQL file and execute them by hand, or to simply write out your own T-SQL to make the changes. Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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In an Entity/Component system, can component data be implemented as a simple array of key-value pairs? [on hold]

- by 010110110101

I'm trying to wrap my head around how to organize components in an Entity Component Systems once everything in the current scene/level is loaded in memory. (I'm a hobbyist BTW) Some people seem to implement the Entity as an object that contains a list of of "Component" objects. Components contain data organized as an array of key-value pairs. Where the value is serialized "somehow". (pseudocode is loosely in C# for brevity) class Entity { Guid _id; List<Component> _components; } class Component { List<ComponentAttributeValue> _attributes; } class ComponentAttributeValue { string AttributeName; object AttributeValue; } Others describe Components as an in-memory "table". An entity acquires the component by having its key placed in a table. The attributes of the component-entity instance are like the columns in a table class Renderable_Component { List<RenderableComponentAttributeValue> _entities; } class RenderableComponentAttributeValue { Guid entityId; matrix4 transformation; // other stuff for rendering // everything is strongly typed } Others describe this actually as a table. (and such tables sound like an EAV database schema BTW) (and the value is serialized "somehow") Render_Component_Table ---------------- Entity Id Attribute Name Attribute Value and when brought into running code: class Entity { Guid _id; Dictionary<string, object> _attributes; } My specific question is: Given various components, (Renderable, Positionable, Explodeable, Hideable, etc) and given that each component has an attribute with a particular name, (TRANSLATION_MATRIX, PARTICLE_EMISSION_VELOCITY, CAN_HIDE, FAVORITE_COLOR, etc) should: an entity contain a list of components where each component, in turn, has their own array of named attributes with values serialized somehow or should components exist as in-memory tables of entity references and associated with each "row" there are "columns" representing the attribute with values that are specific to each entity instance and are strongly typed or all attributes be stored in an entity as a singular array of named attributes with values serialized somehow (could have name collisions) or something else???

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C Programming matrix

- by Bilal Khan

In this program the user enters the # of columns of the matrix and then the entries of the matrix. So, for example, if the user enters 2 for column # and 1 2 3 4 for entries then the program develops a 2 by 2 matrix with 1 2 3 4 as entries. My program works perfectly in such a case. However, if the user for example had only entered 1 2 3 then my program makes a matrix with garbage values. I would like the program in such a case to exit the program. It is a simple question, but it has me baffled. #include<stdio.h> #include<stdlib.h> int main() { int m,x, n, c = 0, d,k, matrix[10][10], transpose[10][10], product[10][10]; printf("Enter the number of columns of matrix "); scanf("%d",&m); if(m<=0){ printf("You entered a invalid value."); exit(0); } else{ printf("Enter the elements of matrix \n"); for( c = 0 ; c < 10 ; c++ ) { for( d = 0 ; d < m ; d++ ) { scanf("%d",&matrix[c][d]); if (matrix[c][d] == 99) // 'x' is character variable I declared to use as a break break; // c = c+1; } if (matrix[c][d] == 99) break; } } printf("\nHere is your matrix:\n"); int i; for(i=0;i<c;i++) { for(d=0;d<m;d++) { printf("%3d ",matrix[i][d]); } printf("\n"); }

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DTracing TCP congestion control

- by user12820842

In a previous post, I showed how we can use DTrace to probe TCP receive and send window events. TCP receive and send windows are in effect both about flow-controlling how much data can be received - the receive window reflects how much data the local TCP is prepared to receive, while the send window simply reflects the size of the receive window of the peer TCP. Both then represent flow control as imposed by the receiver. However, consider that without the sender imposing flow control, and a slow link to a peer, TCP will simply fill up it's window with sent segments. Dealing with multiple TCP implementations filling their peer TCP's receive windows in this manner, busy intermediate routers may drop some of these segments, leading to timeout and retransmission, which may again lead to drops. This is termed congestion, and TCP has multiple congestion control strategies. We can see that in this example, we need to have some way of adjusting how much data we send depending on how quickly we receive acknowledgement - if we get ACKs quickly, we can safely send more segments, but if acknowledgements come slowly, we should proceed with more caution. More generally, we need to implement flow control on the send side also. Slow Start and Congestion Avoidance From RFC2581, let's examine the relevant variables: "The congestion window (cwnd) is a sender-side limit on the amount of data the sender can transmit into the network before receiving an acknowledgment (ACK). Another state variable, the slow start threshold (ssthresh), is used to determine whether the slow start or congestion avoidance algorithm is used to control data transmission" Slow start is used to probe the network's ability to handle transmission bursts both when a connection is first created and when retransmission timers fire. The latter case is important, as the fact that we have effectively lost TCP data acts as a motivator for re-probing how much data the network can handle from the sending TCP. The congestion window (cwnd) is initialized to a relatively small value, generally a low multiple of the sending maximum segment size. When slow start kicks in, we will only send that number of bytes before waiting for acknowledgement. When acknowledgements are received, the congestion window is increased in size until cwnd reaches the slow start threshold ssthresh value. For most congestion control algorithms the window increases exponentially under slow start, assuming we receive acknowledgements. We send 1 segment, receive an ACK, increase the cwnd by 1 MSS to 2*MSS, send 2 segments, receive 2 ACKs, increase the cwnd by 2*MSS to 4*MSS, send 4 segments etc. When the congestion window exceeds the slow start threshold, congestion avoidance is used instead of slow start. During congestion avoidance, the congestion window is generally updated by one MSS for each round-trip-time as opposed to each ACK, and so cwnd growth is linear instead of exponential (we may receive multiple ACKs within a single RTT). This continues until congestion is detected. If a retransmit timer fires, congestion is assumed and the ssthresh value is reset. It is reset to a fraction of the number of bytes outstanding (unacknowledged) in the network. At the same time the congestion window is reset to a single max segment size. Thus, we initiate slow start until we start receiving acknowledgements again, at which point we can eventually flip over to congestion avoidance when cwnd ssthresh. Congestion control algorithms differ most in how they handle the other indication of congestion - duplicate ACKs. A duplicate ACK is a strong indication that data has been lost, since they often come from a receiver explicitly asking for a retransmission. In some cases, a duplicate ACK may be generated at the receiver as a result of packets arriving out-of-order, so it is sensible to wait for multiple duplicate ACKs before assuming packet loss rather than out-of-order delivery. This is termed fast retransmit (i.e. retransmit without waiting for the retransmission timer to expire). Note that on Oracle Solaris 11, the congestion control method used can be customized. See here for more details. In general, 3 or more duplicate ACKs indicate packet loss and should trigger fast retransmit . It's best not to revert to slow start in this case, as the fact that the receiver knew it was missing data suggests it has received data with a higher sequence number, so we know traffic is still flowing. Falling back to slow start would be excessive therefore, so fast recovery is used instead. Observing slow start and congestion avoidance The following script counts TCP segments sent when under slow start (cwnd ssthresh). #!/usr/sbin/dtrace -s #pragma D option quiet tcp:::connect-request / start[args[1]-cs_cid] == 0/ { start[args[1]-cs_cid] = 1; } tcp:::send / start[args[1]-cs_cid] == 1 && args[3]-tcps_cwnd tcps_cwnd_ssthresh / { @c["Slow start", args[2]-ip_daddr, args[4]-tcp_dport] = count(); } tcp:::send / start[args[1]-cs_cid] == 1 && args[3]-tcps_cwnd args[3]-tcps_cwnd_ssthresh / { @c["Congestion avoidance", args[2]-ip_daddr, args[4]-tcp_dport] = count(); } As we can see the script only works on connections initiated since it is started (using the start[] associative array with the connection ID as index to set whether it's a new connection (start[cid] = 1). From there we simply differentiate send events where cwnd ssthresh (congestion avoidance). Here's the output taken when I accessed a YouTube video (where rport is 80) and from an FTP session where I put a large file onto a remote system. # dtrace -s tcp_slow_start.d ^C ALGORITHM RADDR RPORT #SEG Slow start 10.153.125.222 20 6 Slow start 138.3.237.7 80 14 Slow start 10.153.125.222 21 18 Congestion avoidance 10.153.125.222 20 1164 We see that in the case of the YouTube video, slow start was exclusively used. Most of the segments we sent in that case were likely ACKs. Compare this case - where 14 segments were sent using slow start - to the FTP case, where only 6 segments were sent before we switched to congestion avoidance for 1164 segments. In the case of the FTP session, the FTP data on port 20 was predominantly sent with congestion avoidance in operation, while the FTP session relied exclusively on slow start. For the default congestion control algorithm - "newreno" - on Solaris 11, slow start will increase the cwnd by 1 MSS for every acknowledgement received, and by 1 MSS for each RTT in congestion avoidance mode. Different pluggable congestion control algorithms operate slightly differently. For example "highspeed" will update the slow start cwnd by the number of bytes ACKed rather than the MSS. And to finish, here's a neat oneliner to visually display the distribution of congestion window values for all TCP connections to a given remote port using a quantization. In this example, only port 80 is in use and we see the majority of cwnd values for that port are in the 4096-8191 range. # dtrace -n 'tcp:::send { @q[args[4]-tcp_dport] = quantize(args[3]-tcps_cwnd); }' dtrace: description 'tcp:::send ' matched 10 probes ^C 80 value ------------- Distribution ------------- count -1 | 0 0 |@@@@@@ 5 1 | 0 2 | 0 4 | 0 8 | 0 16 | 0 32 | 0 64 | 0 128 | 0 256 | 0 512 | 0 1024 | 0 2048 |@@@@@@@@@ 8 4096 |@@@@@@@@@@@@@@@@@@@@@@@@@@ 23 8192 | 0

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Master-slave vs. peer-to-peer archictecture: benefits and problems

- by Ashok_Ora

Normal 0 false false false EN-US X-NONE X-NONE Almost two decades ago, I was a member of a database development team that introduced adaptive locking. Locking, the most popular concurrency control technique in database systems, is pessimistic. Locking ensures that two or more conflicting operations on the same data item don’t “trample” on each other’s toes, resulting in data corruption. In a nutshell, here’s the issue we were trying to address. In everyday life, traffic lights serve the same purpose. They ensure that traffic flows smoothly and when everyone follows the rules, there are no accidents at intersections. As I mentioned earlier, the problem with typical locking protocols is that they are pessimistic. Regardless of whether there is another conflicting operation in the system or not, you have to hold a lock! Acquiring and releasing locks can be quite expensive, depending on how many objects the transaction touches. Every transaction has to pay this penalty. To use the earlier traffic light analogy, if you have ever waited at a red light in the middle of nowhere with no one on the road, wondering why you need to wait when there’s clearly no danger of a collision, you know what I mean. The adaptive locking scheme that we invented was able to minimize the number of locks that a transaction held, by detecting whether there were one or more transactions that needed conflicting eyou could get by without holding any lock at all. In many “well-behaved” workloads, there are few conflicts, so this optimization is a huge win. If, on the other hand, there are many concurrent, conflicting requests, the algorithm gracefully degrades to the “normal” behavior with minimal cost. We were able to reduce the number of lock requests per TPC-B transaction from 178 requests down to 2! Wow! This is a dramatic improvement in concurrency as well as transaction latency. The lesson from this exercise was that if you can identify the common scenario and optimize for that case so that only the uncommon scenarios are more expensive, you can make dramatic improvements in performance without sacrificing correctness. So how does this relate to the architecture and design of some of the modern NoSQL systems? NoSQL systems can be broadly classified as master-slave sharded, or peer-to-peer sharded systems. NoSQL systems with a peer-to-peer architecture have an interesting way of handling changes. Whenever an item is changed, the client (or an intermediary) propagates the changes synchronously or asynchronously to multiple copies (for availability) of the data. Since the change can be propagated asynchronously, during some interval in time, it will be the case that some copies have received the update, and others haven’t. What happens if someone tries to read the item during this interval? The client in a peer-to-peer system will fetch the same item from multiple copies and compare them to each other. If they’re all the same, then every copy that was queried has the same (and up-to-date) value of the data item, so all’s good. If not, then the system provides a mechanism to reconcile the discrepancy and to update stale copies. So what’s the problem with this? There are two major issues: First, IT’S HORRIBLY PESSIMISTIC because, in the common case, it is unlikely that the same data item will be updated and read from different locations at around the same time! For every read operation, you have to read from multiple copies. That’s a pretty expensive, especially if the data are stored in multiple geographically separate locations and network latencies are high. Second, if the copies are not all the same, the application has to reconcile the differences and propagate the correct value to the out-dated copies. This means that the application program has to handle discrepancies in the different versions of the data item and resolve the issue (which can further add to cost and operation latency). Resolving discrepancies is only one part of the problem. What if the same data item was updated independently on two different nodes (copies)? In that case, due to the asynchronous nature of change propagation, you might land up with different versions of the data item in different copies. In this case, the application program also has to resolve conflicts and then propagate the correct value to the copies that are out-dated or have incorrect versions. This can get really complicated. My hunch is that there are many peer-to-peer-based applications that don’t handle this correctly, and worse, don’t even know it. Imagine have 100s of millions of records in your database – how can you tell whether a particular data item is incorrect or out of date? And what price are you willing to pay for ensuring that the data can be trusted? Multiple network messages per read request? Discrepancy and conflict resolution logic in the application, and potentially, additional messages? All this overhead, when all you were trying to do was to read a data item. Wouldn’t it be simpler to avoid this problem in the first place? Master-slave architectures like the Oracle NoSQL Database handles this very elegantly. A change to a data item is always sent to the master copy. Consequently, the master copy always has the most current and authoritative version of the data item. The master is also responsible for propagating the change to the other copies (for availability and read scalability). Client drivers are aware of master copies and replicas, and client drivers are also aware of the “currency” of a replica. In other words, each NoSQL Database client knows how stale a replica is. This vastly simplifies the job of the application developer. If the application needs the most current version of the data item, the client driver will automatically route the request to the master copy. If the application is willing to tolerate some staleness of data (e.g. a version that is no more than 1 second out of date), the client can easily determine which replica (or set of replicas) can satisfy the request, and route the request to the most efficient copy. This results in a dramatic simplification in application logic and also minimizes network requests (the driver will only send the request to exactl the right replica, not many). So, back to my original point. A well designed and well architected system minimizes or eliminates unnecessary overhead and avoids pessimistic algorithms wherever possible in order to deliver a highly efficient and high performance system. If you’ve every programmed an Oracle NoSQL Database application, you’ll know the difference! /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;}

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