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  • Programming doesn&rsquo;t have to be Magic

    - by Wes McClure
    In the show LOST, the Swan Station had a button that “had to be pushed” every 100 minutes to avoid disaster.  Several characters in the show took it upon themselves to have faith and religiously push the button, resetting the clock and averting the unknown “disaster”.  There are striking similarities in this story to the code we write every day.  Here are some common ones that I encounter: “I don’t know what it does but the application doesn’t work without it” “I added that code because I saw it in other similar places, I didn’t understand it, but thought it was necessary.” (for consistency, or to make things “work”) “An error message recommended it” “I copied that code” (and didn’t look at what it was doing) “It was suggested in a forum online and it fixed my problem so I left it” In all of these cases we haven’t done our due diligence to understand what the code we are writing is actually doing.  In the rush to get things done it seems like we’re willing to push any button (add any line of code) just to get our desired result and move on.  All of the above explanations are common things we encounter, and are valid ways to work through a problem we have, but when we find a solution to a task we are working on (whether a bug or a feature), we should take a moment to reflect on what we don’t understand.  Remove what isn’t necessary, comprehend and simplify what is.  Why is it detrimental to commit code we don’t understand? Perpetuates unnecessary code If you copy code that isn’t necessary, someone else is more likely to do so, especially peers Perpetuates tech debt Adding unnecessary code leads to extra code that must be understood, maintained and eventually cleaned up in longer lived projects Tech debt begets tech debt as other developers copy or use this code as guidelines in similar situations Increases maintenance How do we know the code is simplified if we don’t understand it? Perpetuates a lack of ownership Makes it seem ok to commit anything so long as it “gets the job done” Perpetuates the notion that programming is magic If we don’t take the time to understand every line of code we add, then we are contributing to the notion that it is simply enough to make the code work, regardless of how. TLDR Don’t commit code that you don’t understand, take the time to understand it, simplify it and then commit it!

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  • Using MAC Authentication for simple Web API’s consumption

    - by cibrax
    For simple scenarios of Web API consumption where identity delegation is not required, traditional http authentication schemas such as basic, certificates or digest are the most used nowadays. All these schemas rely on sending the caller credentials or some representation of it in every request message as part of the Authorization header, so they are prone to suffer phishing attacks if they are not correctly secured at transport level with https. In addition, most client applications typically authenticate two different things, the caller application and the user consuming the API on behalf of that application. For most cases, the schema is simplified by using a single set of username and password for authenticating both, making necessary to store those credentials temporally somewhere in memory. The true is that you can use two different identities, one for the user running the application, which you might authenticate just once during the first call when the application is initialized, and another identity for the application itself that you use on every call. Some cloud vendors like Windows Azure or Amazon Web Services have adopted an schema to authenticate the caller application based on a Message Authentication Code (MAC) generated with a symmetric algorithm using a key known by the two parties, the caller and the Web API. The caller must include a MAC as part of the Authorization header created from different pieces of information in the request message such as the address, the host, and some other headers. The Web API can authenticate the caller by using the key associated to it and validating the attached MAC in the request message. In that way, no credentials are sent as part of the request message, so there is no way an attacker to intercept the message and get access to those credentials. Anyways, this schema also suffers from some deficiencies that can generate attacks. For example, brute force can be still used to infer the key used for generating the MAC, and impersonate the original caller. This can be mitigated by renewing keys in a relative short period of time. This schema as any other can be complemented with transport security. Eran Rammer, one of the brains behind OAuth, has recently published an specification of a protocol based on MAC for Http authentication called Hawk. The initial version of the spec is available here. A curious fact is that the specification per se does not exist, and the specification itself is the code that Eran initially wrote using node.js. In that implementation, you can associate a key to an user, so once the MAC has been verified on the Web API, the user can be inferred from that key. Also a timestamp is used to avoid replay attacks. As a pet project, I decided to port that code to .NET using ASP.NET Web API, which is available also in github under https://github.com/pcibraro/hawknet Enjoy!.

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  • SQL SERVER – Rename Columnname or Tablename – SQL in Sixty Seconds #032 – Video

    - by pinaldave
    We all make mistakes at some point of time and we all change our opinion. There are quite a lot of people in the world who have changed their name after they have grown up. Some corrected their parent’s mistake and some create new mistake. Well, databases are not protected from such incidents. There are many reasons why developers may want to change the name of the column or table after it was initially created. The goal of this video is not to dwell on the reasons but to learn how we can rename the column and table. Earlier I have written the article on this subject over here: SQL SERVER – How to Rename a Column Name or Table Name. I have revised the same article over here and created this video. There is one very important point to remember that by changing the column name or table name one creates the possibility of errors in the application the columns and tables are used. When any column or table name is changed, the developer should go through every place in the code base, ad-hoc queries, stored procedures, views and any other place where there are possibility of their usage and change them to the new name. If this is one followed up religiously there are quite a lot of changes that application will stop working due to this name change.  One has to remember that changing column name does not change the name of the indexes, constraints etc and they will continue to reference the old name. Though this will not stop the show but will create visual un-comfort as well confusion in many cases. Here is my question back to you – have you changed ever column name or table name in production database (after project going live)? If yes, what was the scenario and need of doing it. After all it is just a name. Let me know what you think of this video. Here is the updated script. USE tempdb GO CREATE TABLE TestTable (ID INT, OldName VARCHAR(20)) GO INSERT INTO TestTable VALUES (1, 'First') GO -- Check the Tabledata SELECT * FROM TestTable GO -- Rename the ColumnName sp_RENAME 'TestTable.OldName', 'NewName', 'Column' GO -- Check the Tabledata SELECT * FROM TestTable GO -- Rename the TableName sp_RENAME 'TestTable', 'NewTable' GO -- Check the Tabledata - Error SELECT * FROM TestTable GO -- Check the Tabledata - New SELECT * FROM NewTable GO -- Cleanup DROP TABLE NewTable GO Related Tips in SQL in Sixty Seconds: SQL SERVER – How to Rename a Column Name or Table Name What would you like to see in the next SQL in Sixty Seconds video? Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Database, Pinal Dave, PostADay, SQL, SQL Authority, SQL in Sixty Seconds, SQL Query, SQL Scripts, SQL Server, SQL Server Management Studio, SQL Tips and Tricks, T SQL, Technology, Video Tagged: Excel

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  • SQL Developer: Why Do You Require Semicolons When Executing SQL in the Worksheet?

    - by thatjeffsmith
    There are many database tools out there that support Oracle database. Oracle SQL Developer just happens to be the one that is produced and shipped by the same folks that bring you the database product. Several other 3rd party tools out there allow you to have a collection of SQL statements in their editor and execute them without requiring a statement delimiter (usually a semicolon.) Let’s look at a quick example: select * from scott.emp select * from hr.employees delete from HR_COPY.BEER where HR_COPY.BEER.STATE like '%West Virginia% In some tools, you can simply place your cursor on say the 2nd statement and ask to execute that statement. The tool assumes that the blank line between it and the next statement, a DELETE, serves as a statement delimiter. This is not bad in and of itself. However, it is very important to understand how your tools work. If you were to try the same trick by running the delete statement, it would empty my entire BEER table instead of just trimming out the breweries from my home state. SQL Developer only executes what you ask it to execute You can paste this same code into SQL Developer and run it without problems and without having to add semicolons to your statements. Highlight what you want executed, and hit Ctrl-Enter If you don’t highlight the text, here’s what you’ll see: See the statement at the cursor vs what SQL Developer actually executed? The parser looks for a query and keeps going until the statement is terminated with a semicolon – UNLESS it’s highlighted, then it assumes you only want to execute what is highlighted. In both cases you are being explicit with what is being sent to the database. Again, there’s not necessarily a ‘right’ or ‘wrong’ debate here. What you need to be aware of is the differences and to learn new workflows if you are moving from other database tools to Oracle SQL Developer. I say, when in doubt, back away from the tool, especially if you’re in production. Oh, and to answer the original question… Because we’re trying to emulate SQL*Plus behavior. You end statements in SQL*Plus with delimiters, and the default delimiter is a semicolon.

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  • Setting up Visual Studio 2010 to step into Microsoft .NET Source Code

    - by rajbk
    Using the Microsoft Symbol Server to obtain symbol debugging information is now much easier in VS 2010. Microsoft gives you access to their internet symbol server that contains symbol files for most of the .NET framework including the recently announced availability of MVC 2 Symbols.  SETUP In VS 2010 RTM, go to Tools –> Options –> Debugging –> General. Check “Enable .NET Framework source stepping” We get the following dialog box   This automatically disables “Enable My Code”   Go to Debugging –> Symbols and Check “Microsoft Symbol Servers”. You can selectively exclude modules if you want to.   You will get a warning dialog like so: Hitting OK will start the download process   The setup is complete. You are now ready to start debugging! DEBUGGING Add a break point to your application and run the application in debug mode (F5 shortcut for me). Go to your call stack when you hit the break point. Right click on a frame that is grayed out. Select “Load Symbols from” “Microsoft Symbol Servers”. VS will begin a one time download of that assembly. This assembly will be cached locally so you don’t have to wait for the download the next time you debug the app.   We get a one time license agreement dialog box You might see an error like the one below regarding different encoding (hopefully will be fixed).    Assemblies for which the symbols have been loaded are no longer grayed out. Double clicking on any entry in the call stack should now directly take you to the source code for that assembly. AFAIK, not all symbols are available on the MS symbol server. In cases like that you will see a tab like the one below and be given the option to “Show Disassembly”. Enjoy! Newsreel Announcer: Humiliated, Muntz vows a return to Paradise Falls and promises to capture the beast alive! Charles Muntz: [speaking to a large audience outside in the newsreel] I promise to capture the beast alive, and I will not come back until I do!

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  • What have my fellow Delphi programmers done to make Eclipse/Java more like Delphi?

    - by Robert Oschler
    I am a veteran Delphi programmer working on my first real Android app. I am using Eclipse and Java as my development environment. The thing I miss the most of course is Delphi's VCL components and the associated IDE tools for design-time editing and code creation. Fortunately I am finding Eclipse to be one hell of an IDE with it's lush context sensitive help, deep auto-complete and code wizard facilities, and other niceties. This is a huge double treat since it is free. However, here is an example of something in the Eclipse/Java environment that will give a Delphi programmer pause. I will use the simple case of adding an "on-click" code stub for an OK button. DELPHI Drop button on a form Double-click button on form and fill in the code that will fire when the button is clicked ECLIPSE Drop button on layout in the graphical XML file editor Add the View.OnClickListener interface to the containing class's "implements" list if not there already. (Command+1 on Macs, Ctrl + 1 on PCs I believe). Use Eclipse to automatically add the code stub for unimplemented methods needed to support the View.OnClickListener interface, thus creating the event handler function stub. Find the stub and fill it in. However, if you have more than one possible click event source then you will need to inspect the View parameter to see which View element triggered the OnClick() event, thus requiring a case statement to handle multiple click event sources. NOTE: I am relatively new to Eclipse/Java so if there is a much easier way of doing this please let me know. Now that work flow isn't all that terrible, but again, that's just the simplest of use cases. Ratchet up the amount of extra work and thinking for a more complex component (aka widget) and the large number of properties/events it might have. It won't be long before you miss dearly the Delphi intelligent property editor and other designers. Eclipse tries to cover this ground by having an extensive list of properties in the menu that pops up when you right-click over a component/widget in the XML graphical layout editor. That's a huge and welcome assist but it's just not even close to the convenience of the Delphi IDE. Let me be very clear. I absolutely am not ranting nor do I want to start a Delphi vs. Java ideology discussion. Android/Eclipse/Java is what it is and there is a lot that impresses me. What I want to know is what other Delphi programmers that made the switch to the Eclipse/Java IDE have done to make things more Delphi like, and not just to make component/widget event code creation easier but any programming task. For example: Clever tips/tricks Eclipse plugins you found other ideas? Any great blog posts or web resources on the topic are appreciated too. -- roschler

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  • Plan Caching and Query Memory Part I – When not to use stored procedure or other plan caching mechanisms like sp_executesql or prepared statement

    - by sqlworkshops
      The most common performance mistake SQL Server developers make: SQL Server estimates memory requirement for queries at compilation time. This mechanism is fine for dynamic queries that need memory, but not for queries that cache the plan. With dynamic queries the plan is not reused for different set of parameters values / predicates and hence different amount of memory can be estimated based on different set of parameter values / predicates. Common memory allocating queries are that perform Sort and do Hash Match operations like Hash Join or Hash Aggregation or Hash Union. This article covers Sort with examples. It is recommended to read Plan Caching and Query Memory Part II after this article which covers Hash Match operations.   When the plan is cached by using stored procedure or other plan caching mechanisms like sp_executesql or prepared statement, SQL Server estimates memory requirement based on first set of execution parameters. Later when the same stored procedure is called with different set of parameter values, the same amount of memory is used to execute the stored procedure. This might lead to underestimation / overestimation of memory on plan reuse, overestimation of memory might not be a noticeable issue for Sort operations, but underestimation of memory will lead to spill over tempdb resulting in poor performance.   This article covers underestimation / overestimation of memory for Sort. Plan Caching and Query Memory Part II covers underestimation / overestimation for Hash Match operation. It is important to note that underestimation of memory for Sort and Hash Match operations lead to spill over tempdb and hence negatively impact performance. Overestimation of memory affects the memory needs of other concurrently executing queries. In addition, it is important to note, with Hash Match operations, overestimation of memory can actually lead to poor performance.   To read additional articles I wrote click here.   In most cases it is cheaper to pay for the compilation cost of dynamic queries than huge cost for spill over tempdb, unless memory requirement for a stored procedure does not change significantly based on predicates.   The best way to learn is to practice. To create the below tables and reproduce the behavior, join the mailing list by using this link: www.sqlworkshops.com/ml and I will send you the table creation script. Most of these concepts are also covered in our webcasts: www.sqlworkshops.com/webcasts   Enough theory, let’s see an example where we sort initially 1 month of data and then use the stored procedure to sort 6 months of data.   Let’s create a stored procedure that sorts customers by name within certain date range.   --Example provided by www.sqlworkshops.com create proc CustomersByCreationDate @CreationDateFrom datetime, @CreationDateTo datetime as begin       declare @CustomerID int, @CustomerName varchar(48), @CreationDate datetime       select @CustomerName = c.CustomerName, @CreationDate = c.CreationDate from Customers c             where c.CreationDate between @CreationDateFrom and @CreationDateTo             order by c.CustomerName       option (maxdop 1)       end go Let’s execute the stored procedure initially with 1 month date range.   set statistics time on go --Example provided by www.sqlworkshops.com exec CustomersByCreationDate '2001-01-01', '2001-01-31' go The stored procedure took 48 ms to complete.     The stored procedure was granted 6656 KB based on 43199.9 rows being estimated.       The estimated number of rows, 43199.9 is similar to actual number of rows 43200 and hence the memory estimation should be ok.       There was no Sort Warnings in SQL Profiler.      Now let’s execute the stored procedure with 6 month date range. --Example provided by www.sqlworkshops.com exec CustomersByCreationDate '2001-01-01', '2001-06-30' go The stored procedure took 679 ms to complete.      The stored procedure was granted 6656 KB based on 43199.9 rows being estimated.      The estimated number of rows, 43199.9 is way different from the actual number of rows 259200 because the estimation is based on the first set of parameter value supplied to the stored procedure which is 1 month in our case. This underestimation will lead to sort spill over tempdb, resulting in poor performance.      There was Sort Warnings in SQL Profiler.    To monitor the amount of data written and read from tempdb, one can execute select num_of_bytes_written, num_of_bytes_read from sys.dm_io_virtual_file_stats(2, NULL) before and after the stored procedure execution, for additional information refer to the webcast: www.sqlworkshops.com/webcasts.     Let’s recompile the stored procedure and then let’s first execute the stored procedure with 6 month date range.  In a production instance it is not advisable to use sp_recompile instead one should use DBCC FREEPROCCACHE (plan_handle). This is due to locking issues involved with sp_recompile, refer to our webcasts for further details.   exec sp_recompile CustomersByCreationDate go --Example provided by www.sqlworkshops.com exec CustomersByCreationDate '2001-01-01', '2001-06-30' go Now the stored procedure took only 294 ms instead of 679 ms.    The stored procedure was granted 26832 KB of memory.      The estimated number of rows, 259200 is similar to actual number of rows of 259200. Better performance of this stored procedure is due to better estimation of memory and avoiding sort spill over tempdb.      There was no Sort Warnings in SQL Profiler.       Now let’s execute the stored procedure with 1 month date range.   --Example provided by www.sqlworkshops.com exec CustomersByCreationDate '2001-01-01', '2001-01-31' go The stored procedure took 49 ms to complete, similar to our very first stored procedure execution.     This stored procedure was granted more memory (26832 KB) than necessary memory (6656 KB) based on 6 months of data estimation (259200 rows) instead of 1 month of data estimation (43199.9 rows). This is because the estimation is based on the first set of parameter value supplied to the stored procedure which is 6 months in this case. This overestimation did not affect performance, but it might affect performance of other concurrent queries requiring memory and hence overestimation is not recommended. This overestimation might affect performance Hash Match operations, refer to article Plan Caching and Query Memory Part II for further details.    Let’s recompile the stored procedure and then let’s first execute the stored procedure with 2 day date range. exec sp_recompile CustomersByCreationDate go --Example provided by www.sqlworkshops.com exec CustomersByCreationDate '2001-01-01', '2001-01-02' go The stored procedure took 1 ms.      The stored procedure was granted 1024 KB based on 1440 rows being estimated.      There was no Sort Warnings in SQL Profiler.      Now let’s execute the stored procedure with 6 month date range. --Example provided by www.sqlworkshops.com exec CustomersByCreationDate '2001-01-01', '2001-06-30' go   The stored procedure took 955 ms to complete, way higher than 679 ms or 294ms we noticed before.      The stored procedure was granted 1024 KB based on 1440 rows being estimated. But we noticed in the past this stored procedure with 6 month date range needed 26832 KB of memory to execute optimally without spill over tempdb. This is clear underestimation of memory and the reason for the very poor performance.      There was Sort Warnings in SQL Profiler. Unlike before this was a Multiple pass sort instead of Single pass sort. This occurs when granted memory is too low.      Intermediate Summary: This issue can be avoided by not caching the plan for memory allocating queries. Other possibility is to use recompile hint or optimize for hint to allocate memory for predefined date range.   Let’s recreate the stored procedure with recompile hint. --Example provided by www.sqlworkshops.com drop proc CustomersByCreationDate go create proc CustomersByCreationDate @CreationDateFrom datetime, @CreationDateTo datetime as begin       declare @CustomerID int, @CustomerName varchar(48), @CreationDate datetime       select @CustomerName = c.CustomerName, @CreationDate = c.CreationDate from Customers c             where c.CreationDate between @CreationDateFrom and @CreationDateTo             order by c.CustomerName       option (maxdop 1, recompile)       end go Let’s execute the stored procedure initially with 1 month date range and then with 6 month date range. --Example provided by www.sqlworkshops.com exec CustomersByCreationDate '2001-01-01', '2001-01-30' exec CustomersByCreationDate '2001-01-01', '2001-06-30' go The stored procedure took 48ms and 291 ms in line with previous optimal execution times.      The stored procedure with 1 month date range has good estimation like before.      The stored procedure with 6 month date range also has good estimation and memory grant like before because the query was recompiled with current set of parameter values.      The compilation time and compilation CPU of 1 ms is not expensive in this case compared to the performance benefit.     Let’s recreate the stored procedure with optimize for hint of 6 month date range.   --Example provided by www.sqlworkshops.com drop proc CustomersByCreationDate go create proc CustomersByCreationDate @CreationDateFrom datetime, @CreationDateTo datetime as begin       declare @CustomerID int, @CustomerName varchar(48), @CreationDate datetime       select @CustomerName = c.CustomerName, @CreationDate = c.CreationDate from Customers c             where c.CreationDate between @CreationDateFrom and @CreationDateTo             order by c.CustomerName       option (maxdop 1, optimize for (@CreationDateFrom = '2001-01-01', @CreationDateTo ='2001-06-30'))       end go Let’s execute the stored procedure initially with 1 month date range and then with 6 month date range.   --Example provided by www.sqlworkshops.com exec CustomersByCreationDate '2001-01-01', '2001-01-30' exec CustomersByCreationDate '2001-01-01', '2001-06-30' go The stored procedure took 48ms and 291 ms in line with previous optimal execution times.    The stored procedure with 1 month date range has overestimation of rows and memory. This is because we provided hint to optimize for 6 months of data.      The stored procedure with 6 month date range has good estimation and memory grant because we provided hint to optimize for 6 months of data.       Let’s execute the stored procedure with 12 month date range using the currently cashed plan for 6 month date range. --Example provided by www.sqlworkshops.com exec CustomersByCreationDate '2001-01-01', '2001-12-31' go The stored procedure took 1138 ms to complete.      2592000 rows were estimated based on optimize for hint value for 6 month date range. Actual number of rows is 524160 due to 12 month date range.      The stored procedure was granted enough memory to sort 6 month date range and not 12 month date range, so there will be spill over tempdb.      There was Sort Warnings in SQL Profiler.      As we see above, optimize for hint cannot guarantee enough memory and optimal performance compared to recompile hint.   This article covers underestimation / overestimation of memory for Sort. Plan Caching and Query Memory Part II covers underestimation / overestimation for Hash Match operation. It is important to note that underestimation of memory for Sort and Hash Match operations lead to spill over tempdb and hence negatively impact performance. Overestimation of memory affects the memory needs of other concurrently executing queries. In addition, it is important to note, with Hash Match operations, overestimation of memory can actually lead to poor performance.   Summary: Cached plan might lead to underestimation or overestimation of memory because the memory is estimated based on first set of execution parameters. It is recommended not to cache the plan if the amount of memory required to execute the stored procedure has a wide range of possibilities. One can mitigate this by using recompile hint, but that will lead to compilation overhead. However, in most cases it might be ok to pay for compilation rather than spilling sort over tempdb which could be very expensive compared to compilation cost. The other possibility is to use optimize for hint, but in case one sorts more data than hinted by optimize for hint, this will still lead to spill. On the other side there is also the possibility of overestimation leading to unnecessary memory issues for other concurrently executing queries. In case of Hash Match operations, this overestimation of memory might lead to poor performance. When the values used in optimize for hint are archived from the database, the estimation will be wrong leading to worst performance, so one has to exercise caution before using optimize for hint, recompile hint is better in this case. I explain these concepts with detailed examples in my webcasts (www.sqlworkshops.com/webcasts), I recommend you to watch them. The best way to learn is to practice. To create the above tables and reproduce the behavior, join the mailing list at www.sqlworkshops.com/ml and I will send you the relevant SQL Scripts.     Register for the upcoming 3 Day Level 400 Microsoft SQL Server 2008 and SQL Server 2005 Performance Monitoring & Tuning Hands-on Workshop in London, United Kingdom during March 15-17, 2011, click here to register / Microsoft UK TechNet.These are hands-on workshops with a maximum of 12 participants and not lectures. For consulting engagements click here.     Disclaimer and copyright information:This article refers to organizations and products that may be the trademarks or registered trademarks of their various owners. Copyright of this article belongs to R Meyyappan / www.sqlworkshops.com. You may freely use the ideas and concepts discussed in this article with acknowledgement (www.sqlworkshops.com), but you may not claim any of it as your own work. This article is for informational purposes only; you use any of the suggestions given here entirely at your own risk.   R Meyyappan [email protected] LinkedIn: http://at.linkedin.com/in/rmeyyappan

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  • Cutting Paper through Visualization and Collaboration

    - by [email protected]
    It's hard not to hear about "Going Green" these days. Many are working to be more environmentally conscious in their personal lives, and this has extended to the corporate world as well. I know I'm always looking for new ways. Environmental responsibility is important at Oracle too, and we have an entire section of our website dedicated to our solutions around the Eco-Enterprise. You can check it out here: http://www.oracle.com/green/index.html Perhaps the biggest and most obvious challenge in the world of business is the fact that we use so much paper. There are many good reasons why we print today too. For example: Printing off a document, spreadsheet, or CAD design that will be reviewed and marked up while on a plane Having a printout of a facility when a field engineer performs on-site maintenance During a multi-party design review where a number of people will review a drawing in a meeting room, scribbling onto a large scale drawing print to provide their collaborative comments These are just a few potential use cases, and they're valid ones. However, there's a way in which you can turn these paper processes into digital ones. AutoVue allows you to view, mark-up, and collaborate on all the data you would print. Indeed, this is the core of what AutoVue does. So if we take the examples above, we could address each as follows: Allow you to view the document, spreadsheet, or CAD drawing in AutoVue on your laptop. Even if you originally had this data vaulted in some time of system of record (like an ECM solution) and view your data from there, AutoVue allows you to "Work Offline" and take the documents you need to review on your laptop. From there, the many annotation tools in AutoVue will give you what you need to comment upon the documents that you are reviewing. The challenge with the mobile workforce is always access to information. People who perform maintenance and repair operations often are in locations with little to no Internet connectivity. However, technology is coming to these people in the form of laptops, tablet PCs, and other portable devices too. AutoVue can address situations with limited bandwidth through our streaming technology for viewing, meaning that the most up to date information can be pulled up from the central server - without the need for large data transfer. When there is no connectivity at all, the "Work Offline" option will handle this. For a design review session, the Real-Time Collaboration capabilities of AutoVue will let all the participants view the same document in a synchronized view, allowing each person to be able to mark-up the document at the same time. Since this is done in a web-based manner, not only is it not necessary to print the document, but you benefit by reducing the travel needed for these sessions. Not only are trees spared, but jet fuel as well. There are many steps involved with "Going Green", but each step is a necessary one. What we do today will directly influence our future generations, and we're looking to help.

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  • Development processes, the use of version control, and unit-testing

    - by ct01
    Preface I've worked at quite a few "flat" organizations in my time. Most of the version control policy/process has been "only commit after it's been tested". We were constantly committing at each place to "trunk" (cvs/svn). The same was true with unit-testing - it's always been a "we need to do this" mentality but it never really materializes in a substantive form b/c there is no institutional knowledge base to do it - no mentorship. Version Control The emphasis for version control management at one place was a very strict protocol for commit messages (format & content). The other places let employees just do "whatever". The branching, tagging, committing, rolling back, and merging aspect of things was always ill defined and almost never used. This sort of seems to leave the version control system in the position of being a fancy file-storage mechanism with a meta-data component that never really gets accessed/utilized. (The same was true for unit testing and committing code to the source tree) Unit tests It seems there's a prevailing "we must/should do this" mentality in most places I've worked. As a policy or standard operating procedure it never gets implemented because there seems to be a very ill-defined understanding about what that means, what is going to be tested, and how to do it. Summary It seems most places I've been to think version control and unit testing is "important" b/c the trendy trade journals say it is but, if there's very little mentorship to use these tools or any real business policies, then the full power of version control/unit testing is never really expressed. So grunts, like myself, never really have a complete understanding of the point beyond that "it's a good thing" and "we should do it". Question I was wondering if there are blogs, books, white-papers, or online journals about what one could call the business process or "standard operating procedures" or uses cases for version control and unit testing? I want to know more than the trade journals tell me and get serious about doing these things. PS: @Henrik Hansen had a great comment about the lack of definition for the question. I'm not interested in a specific unit-testing/versioning product or methodology (like, XP) - my interest is more about work-flow at the individual team/developer level than evangelism. This is more-or-less a by product of the management situation I've operated under more than a lack of reading software engineering books or magazines about development processes. A lot of what I've seen/read is more marketing oriented material than any specifically enumerated description of "well, this is how our shop operates".

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  • Maintaining Revision Levels

    - by kyle.hatlestad
    A question that came up on an earlier blog post was how to limit the number of revisions on a piece of content. UCM does not inherently enforce any sort of limit on how many revisions you can have. It's unlimited. In some cases, there may be content that goes through lots of changes, but there just simply isn't a need to keep all of its revisions around. Deleting those revisions through the content information screen can be very cumbersome. And going through the Repository Manager applet can take time as well to filter and find the revisions to get rid of. But there is an easier way through the Archiver. The Export Query criteria in Archiver includes a very handy field called 'Revision Rank'. With revision labels, they typically go up as new revisions come in (e.g. 1, 2, 3, 4, etc...). But you can't really use this field to tell it to keep the top 5 revisions. Those top 5 revision numbers are always going up. But revision rank goes the opposite direction. The very latest revision is always 0. The previous revision to that is 1. Previous revision to that is 2. And so on and so forth. With revision rank, you can set your query to look for any Revision Rank greater or equal to 5. Now as older revisions move down the line, their revision rank gets higher and higher until they reach that threshold. Then when you run that archive export, you can choose to delete and remove those revisions. Running that export in Archiver is normally a manual process. But with Idc Command, you can script the process and have it run automatically from the server. Idc Command is a utility that allows you to run any of the content server services via the command line. You basically feed it a text file with the services and parameters defined along with the user to run it as. The Idc Command executable is located within the \bin\ directory: $ ./IdcCommand -f DeleteOlderRevisions.txt -u sysadmin -l delete_revisions.log In this example, our IdcCommand file to run the export and do the deletions would look like: IdcService=EXPORT_ARCHIVE aArchiveName=DeleteOlderRevisions aDoDelete=1 IDC_Name=idc dataSource=RevisionIDs <<EOD>> You can then use automated scheduling routines in the OS to run the command and command file at the frequency needed. Remember that you are deleting the revisions from within UCM, but they are still getting placed within the archive. So you will need to delete those batches to have them fully removed (or re-import if you need to recover them). For more information about Idc Command, you can find that in the Idc Command Reference Guide.

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  • Gawker Passwords

    - by Nick Harrison
    There has been much news about the hack of the Gawker web sites. There has even been an analysis of the common passwords found. This list is embarrassing in many ways. The most common password was "123456". The second most common password was "password". Much has also been written providing advice on how to create good passwords. This article provides some interesting advice, none of which should be taken. Anyone reading my blog, probably already knows the importance of strong passwords, so I am not going to reiterate the reasons here. My target audience is more the folks defining password complexity requirements. A user cannot come up with a strong password, if we have complexity requirements that don't make sense. With that in mind, here are a few guidelines:  Long Passwords Insist on long passwords. In some cases, you may need to change to allow a long password. I have seen many places that cap passwords at 8 characters. Passwords need to be at least 8 characters minimal. Consider how much stronger the passwords would be if you double the length. Passwords that are 15-20 characters will be that much harder to crack. There is no need to have limit passwords to 8 characters. Don't Require Special Characters Many complexity rules will require that your password include a capital letter, a lower case letter, a number, and one of the "special" characters, the shits above the number keys. The problem with such rules is that the resulting passwords are harder to remember. It also means that you will have a smaller set of characters in the resulting passwords. If you must include one of the 9 digits and one of the 9 "special" characters, then you have dramatically reduced the character set that will make up the final password. Two characters will be one of 10 possible values instead of one of 70. Two additional characters will be one of 26 possible characters instead of a 70 character potential character set. If you limit passwords to 8 characters, you are left with only 7 characters having the full set of 70 potential values. With these character restrictions in place, there are 1.6 x1012 possible passwords. Without these special character restrictions, but allowing numbers and special characters, you get a total of 5.76x1014 possible passwords. Even if you only allowed upper and lower case characters, you will still have 2.18X1014 passwords. You can do the math any number of ways, requiring special characters will always weaken passwords. Now imagine the number of passwords when you require more than 8 characters.  If you are responsible for defining complexity rules, I urge you to take these guidelines into account. What other guidelines do you follow?

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  • 10.10 freezing when sftp downloading

    - by aGr
    My ubuntu 10.10 is freezing during downloading from my other computer on sftp. I thought it might be some nautilus issues so I tried it via command line and I got the same thing - after few minutes the whole computer freezes. Mostly the numlock led is blinking (I've heard somewhere that this means a kernel panic), but not in 100% cases. I dunno if that helps but here is a log from /var/log/message in the time that this happened. At least I hope so - it wasn't that big, when it happened before. But this looks quite "errorish", right? (isn't complete - see bottom) Jan 5 17:57:49 tomas-ntb kernel: imklog 4.2.0, log source = /proc/kmsg started. Jan 5 17:57:49 tomas-ntb rsyslogd: [origin software="rsyslogd" swVersion="4.2.0" x-pid="953" x-info="http://www.rsyslog.com"] (re)start Jan 5 17:57:49 tomas-ntb rsyslogd: rsyslogd's groupid changed to 103 Jan 5 17:57:49 tomas-ntb rsyslogd: rsyslogd's userid changed to 101 Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] Initializing cgroup subsys cpuset Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] Initializing cgroup subsys cpu Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] Linux version 2.6.35-24-generic (buildd@vernadsky) (gcc version 4.4.5 (Ubuntu/Linaro 4.4.4-14ubuntu5) ) #42-Ubuntu SMP Thu Dec 2 01:41:57 UTC 2010 (Ubuntu 2.6.35-24.42-generic 2.6.35.8) Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] BIOS-provided physical RAM map: Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] BIOS-e820: 0000000000000000 - 000000000009e800 (usable) Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] BIOS-e820: 000000000009e800 - 00000000000a0000 (reserved) Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] BIOS-e820: 00000000000e0000 - 0000000000100000 (reserved) Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] BIOS-e820: 0000000000100000 - 00000000dffa8000 (usable) Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] BIOS-e820: 00000000dffa8000 - 00000000dffb0000 (ACPI NVS) Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] BIOS-e820: 00000000dffb0000 - 00000000dffbff00 (ACPI data) Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] BIOS-e820: 00000000dffbff00 - 00000000dfff0000 (ACPI NVS) Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] BIOS-e820: 00000000dfff0000 - 00000000e0000000 (reserved) Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] BIOS-e820: 00000000fec00000 - 00000000fec01000 (reserved) Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] BIOS-e820: 00000000fee00000 - 00000000fee01000 (reserved) Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] BIOS-e820: 00000000ff700000 - 0000000100000000 (reserved) Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] BIOS-e820: 0000000100000000 - 0000000120000000 (usable) Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] BIOS-e820: 0000000120000000 - 0000000140000000 (reserved) Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] Notice: NX (Execute Disable) protection cannot be enabled: non-PAE kernel! Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] DMI 2.5 present. Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] AMI BIOS detected: BIOS may corrupt low RAM, working around it. Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] last_pfn = 0xdffa8 max_arch_pfn = 0x100000 Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] x86 PAT enabled: cpu 0, old 0x7040600070406, new 0x7010600070106 Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] Scanning 0 areas for low memory corruption Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] modified physical RAM map: Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] modified: 0000000000000000 - 0000000000010000 (reserved) Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] modified: 0000000000010000 - 000000000009e800 (usable) Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] modified: 000000000009e800 - 00000000000a0000 (reserved) Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] modified: 00000000000e0000 - 0000000000100000 (reserved) Jan 5 17:57:49 tomas-ntb kernel: [ 0.000000] modified: 0000000000100000 - 00000000dffa8000 (usable) ... to long - for whole and better view click here

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  • Oracle SOA Security for OUAF Web Services

    - by Anthony Shorten
    With the ability to use Oracle SOA Suite 11g with the Oracle Utilities Application Framework based products, an additional consideration needs to be configured to ensure correct integration. That additional consideration is security. By default, SOA Suite propagates any credentials from the calling application through to the interfacing applications. In most cases, this behavior is not appropriate as the calling application may use different credential stores and also some interfaces are “disconnected” from a calling application (for example, a file based load using the File Adapter). These situations require that the Web Service calls to the Oracle Utilities Application Framework based products have their own valid credentials. To do this the credentials must be attached at design time or at run time to provide the necessary credentials for the call. There are a number of techniques that can be used to do this: At design time, when integrating a Web Service from an Oracle Utilities Application Framework based product you can attach the security policy “oracle/wss_username_token_client_policy” in the composite.xml view. In this view select the Web Service you want to attach the policy to and right click to display the context menu and select “Configure WS Policies” and select the above policy from the list. If you are using SSL then you can use “oracle/wss_username_token_over_ssl_client_policy” instead. At design time, you can also specify the credential key (csf-key) associated with the above policy by selecting the policy and clicking “Edit Config Override Properties”. You name the key appropriately. Everytime the SOA components are deployed the credential configuration is also sent. You can also do this after deployment, or what I call at “runtime”, by specifying the policy and credential key in the Fusion Middleware Control. Refer to the Fusion Middleware Control documentation on how to do this. To complete the configuration you need to add a map and the key specified earlier to the credential store in the Oracle WebLogic instance used for Oracle SOA Suite. From Fusion Middleware Control, you do this by selecting the domain the SOA Suite is installed in a select “Credentials” from the context menu. You now need to add the credentials by adding the map “oracle.wsm.security” (the name is IMPORTANT) and creating a key with the necessary valid credentials. The example below added a key called “mdm.key”. The name I used is for example only. You can name the key anything you like as long as it corresponds to the key you specified in the design time component. Note: I used SYSUSER as an example credentials in the example, in real life you would use another credential as SYSUSER is not appropriate for production use. This key can be reused for other Oracle Utilities Application Framework Web Service integrations or you can use other keys for individual Web Service calls. Once the key is created and the SOA Suite components deployed the transactions should be able to be called as necessary. If you need to change the password for the credentials it can be done using the Fusion Middleware Control functionality.

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  • Difference between Website and Web Application in ASP.NET

    - by SAMIR BHOGAYTA
    Web site in Visual Studio 2005: A web site is just a group of all files in a folder and sub folders. There is no project file. All files under the specific folder - including your word documents, text files, images etc are part of the web site. You have to deploy all files including source files (unless you pre compile them) to the server. Files are compiled dynamically during run time. To create a "web site", you need to use the menu File New Website You will have the option to choose either one of the following location types: # File System - Allows you to choose a folder to put all the files. # Http - Allows you to choose a virtual directory to put the files. # FTP - Allows you to choose an ftp location. In any of the above cases, no project file is created automatically. Visual Studio considers all files under the folder are part of the web site. There will be no single assembly created and you will nto see a "Bin" folder. The benefits of this model is, you do not need a project file or virtual directory to open a project. It is very handy when you share or download code from the internet. You just need to copy the downloaded code into a folder and you are ready to go! Web Application Project in Visual Studio 2005: Microsoft introduced the "web site" concept where all files under a web site are part of the site, hoping that the development community is going to love that. In fact, this is very usefull to share code. However, they did not consider millions of existing web applications where people are comfortable with the "project" based application. Also, there were lot of web applications where several un wanted files were kept under the web site folder. So, the new model did not work well for them. When people started screaming, Microsoft came up with the answer. On April 7, 2006, they announced "Visual Studio 2005 Web Application Projects" as an Add-On to Visual Studio 2005. This Add-On will allow you to create and use web applications just like the way it used to be in Visual Studio 2003. The Visual Studio 2005 Web Application Project model uses the same project, build and compilation method as the Visual Studio .NET 2003 web project model. All code files within the project are compiled into a single assembly that is built and copied in the Bin directory. All files contained within the project are defined within a project file (as well as the assembly references and other project meta-data settings). Files under the web's file-system root that are not defined in the project file are not considered part of the web project.

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  • When done is not done

    - by Tony Davis
    Most developers and DBAs will know what it’s like to be asked to do "a quick tidy up" on a project that, on closer inspection, turns out to be a barely working prototype: as the cynical programmer says, "when you’re told that a project is 90% done, prepare for the next 90%". It is easy to convince a layperson that an application is complete just by using test data, and sticking to the workflow that the development team has implemented and tested. The application is ‘done’ only in the sense that the anticipated paths through the software features, using known data, are fully supported. Reality often strikes only when testers reveal its strange and erratic behavior in response to behavior from the end user that strays from the "ideal". The problem is this: how do we measure progress, accurately and objectively? Development methods such as Scrum or Kanban, when implemented rigorously, can mitigate these problems for developers, to some extent. They force a team to progress one small, but complete feature at a time, to find out how long it really takes for this feature to be "done done"; in other words done to the point where its performance and scalability is understood, it is tested for all conceivable edge cases and doesn’t break…it is ready for prime time. At that point, the team has a much more realistic idea of how long it will take them to really complete all the remaining features, and so how far away the end is. However, it is when software crosses team boundaries that we feel the limitations of such techniques. No matter how well drilled the development team is, problems will still arise if they don’t deploy frequently to a production environment. If they work feverishly for months on end before finally tossing the finished piece of software over the fence for the DBA to deploy to the "real world" then once again will dawn the realization that "done done" is still out of reach, as the DBA uncovers poorly code transactions, un-scalable queries, inefficient caching, and so on. By deploying regularly, end users will also have a much earlier opportunity to tell you how far what you implemented strayed from what they wanted. If you have a tale to tell, anonymized of course, of a "quick polish" project that turned out to be anything but, and what the major problems were, please do share it. Cheers, Tony.

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  • C#/.NET Little Wonders: The ConcurrentDictionary

    - by James Michael Hare
    Once again we consider some of the lesser known classes and keywords of C#.  In this series of posts, we will discuss how the concurrent collections have been developed to help alleviate these multi-threading concerns.  Last week’s post began with a general introduction and discussed the ConcurrentStack<T> and ConcurrentQueue<T>.  Today's post discusses the ConcurrentDictionary<T> (originally I had intended to discuss ConcurrentBag this week as well, but ConcurrentDictionary had enough information to create a very full post on its own!).  Finally next week, we shall close with a discussion of the ConcurrentBag<T> and BlockingCollection<T>. For more of the "Little Wonders" posts, see the index here. Recap As you'll recall from the previous post, the original collections were object-based containers that accomplished synchronization through a Synchronized member.  While these were convenient because you didn't have to worry about writing your own synchronization logic, they were a bit too finely grained and if you needed to perform multiple operations under one lock, the automatic synchronization didn't buy much. With the advent of .NET 2.0, the original collections were succeeded by the generic collections which are fully type-safe, but eschew automatic synchronization.  This cuts both ways in that you have a lot more control as a developer over when and how fine-grained you want to synchronize, but on the other hand if you just want simple synchronization it creates more work. With .NET 4.0, we get the best of both worlds in generic collections.  A new breed of collections was born called the concurrent collections in the System.Collections.Concurrent namespace.  These amazing collections are fine-tuned to have best overall performance for situations requiring concurrent access.  They are not meant to replace the generic collections, but to simply be an alternative to creating your own locking mechanisms. Among those concurrent collections were the ConcurrentStack<T> and ConcurrentQueue<T> which provide classic LIFO and FIFO collections with a concurrent twist.  As we saw, some of the traditional methods that required calls to be made in a certain order (like checking for not IsEmpty before calling Pop()) were replaced in favor of an umbrella operation that combined both under one lock (like TryPop()). Now, let's take a look at the next in our series of concurrent collections!For some excellent information on the performance of the concurrent collections and how they perform compared to a traditional brute-force locking strategy, see this wonderful whitepaper by the Microsoft Parallel Computing Platform team here. ConcurrentDictionary – the fully thread-safe dictionary The ConcurrentDictionary<TKey,TValue> is the thread-safe counterpart to the generic Dictionary<TKey, TValue> collection.  Obviously, both are designed for quick – O(1) – lookups of data based on a key.  If you think of algorithms where you need lightning fast lookups of data and don’t care whether the data is maintained in any particular ordering or not, the unsorted dictionaries are generally the best way to go. Note: as a side note, there are sorted implementations of IDictionary, namely SortedDictionary and SortedList which are stored as an ordered tree and a ordered list respectively.  While these are not as fast as the non-sorted dictionaries – they are O(log2 n) – they are a great combination of both speed and ordering -- and still greatly outperform a linear search. Now, once again keep in mind that if all you need to do is load a collection once and then allow multi-threaded reading you do not need any locking.  Examples of this tend to be situations where you load a lookup or translation table once at program start, then keep it in memory for read-only reference.  In such cases locking is completely non-productive. However, most of the time when we need a concurrent dictionary we are interleaving both reads and updates.  This is where the ConcurrentDictionary really shines!  It achieves its thread-safety with no common lock to improve efficiency.  It actually uses a series of locks to provide concurrent updates, and has lockless reads!  This means that the ConcurrentDictionary gets even more efficient the higher the ratio of reads-to-writes you have. ConcurrentDictionary and Dictionary differences For the most part, the ConcurrentDictionary<TKey,TValue> behaves like it’s Dictionary<TKey,TValue> counterpart with a few differences.  Some notable examples of which are: Add() does not exist in the concurrent dictionary. This means you must use TryAdd(), AddOrUpdate(), or GetOrAdd().  It also means that you can’t use a collection initializer with the concurrent dictionary. TryAdd() replaced Add() to attempt atomic, safe adds. Because Add() only succeeds if the item doesn’t already exist, we need an atomic operation to check if the item exists, and if not add it while still under an atomic lock. TryUpdate() was added to attempt atomic, safe updates. If we want to update an item, we must make sure it exists first and that the original value is what we expected it to be.  If all these are true, we can update the item under one atomic step. TryRemove() was added to attempt atomic, safe removes. To safely attempt to remove a value we need to see if the key exists first, this checks for existence and removes under an atomic lock. AddOrUpdate() was added to attempt an thread-safe “upsert”. There are many times where you want to insert into a dictionary if the key doesn’t exist, or update the value if it does.  This allows you to make a thread-safe add-or-update. GetOrAdd() was added to attempt an thread-safe query/insert. Sometimes, you want to query for whether an item exists in the cache, and if it doesn’t insert a starting value for it.  This allows you to get the value if it exists and insert if not. Count, Keys, Values properties take a snapshot of the dictionary. Accessing these properties may interfere with add and update performance and should be used with caution. ToArray() returns a static snapshot of the dictionary. That is, the dictionary is locked, and then copied to an array as a O(n) operation.  GetEnumerator() is thread-safe and efficient, but allows dirty reads. Because reads require no locking, you can safely iterate over the contents of the dictionary.  The only downside is that, depending on timing, you may get dirty reads. Dirty reads during iteration The last point on GetEnumerator() bears some explanation.  Picture a scenario in which you call GetEnumerator() (or iterate using a foreach, etc.) and then, during that iteration the dictionary gets updated.  This may not sound like a big deal, but it can lead to inconsistent results if used incorrectly.  The problem is that items you already iterated over that are updated a split second after don’t show the update, but items that you iterate over that were updated a split second before do show the update.  Thus you may get a combination of items that are “stale” because you iterated before the update, and “fresh” because they were updated after GetEnumerator() but before the iteration reached them. Let’s illustrate with an example, let’s say you load up a concurrent dictionary like this: 1: // load up a dictionary. 2: var dictionary = new ConcurrentDictionary<string, int>(); 3:  4: dictionary["A"] = 1; 5: dictionary["B"] = 2; 6: dictionary["C"] = 3; 7: dictionary["D"] = 4; 8: dictionary["E"] = 5; 9: dictionary["F"] = 6; Then you have one task (using the wonderful TPL!) to iterate using dirty reads: 1: // attempt iteration in a separate thread 2: var iterationTask = new Task(() => 3: { 4: // iterates using a dirty read 5: foreach (var pair in dictionary) 6: { 7: Console.WriteLine(pair.Key + ":" + pair.Value); 8: } 9: }); And one task to attempt updates in a separate thread (probably): 1: // attempt updates in a separate thread 2: var updateTask = new Task(() => 3: { 4: // iterates, and updates the value by one 5: foreach (var pair in dictionary) 6: { 7: dictionary[pair.Key] = pair.Value + 1; 8: } 9: }); Now that we’ve done this, we can fire up both tasks and wait for them to complete: 1: // start both tasks 2: updateTask.Start(); 3: iterationTask.Start(); 4:  5: // wait for both to complete. 6: Task.WaitAll(updateTask, iterationTask); Now, if I you didn’t know about the dirty reads, you may have expected to see the iteration before the updates (such as A:1, B:2, C:3, D:4, E:5, F:6).  However, because the reads are dirty, we will quite possibly get a combination of some updated, some original.  My own run netted this result: 1: F:6 2: E:6 3: D:5 4: C:4 5: B:3 6: A:2 Note that, of course, iteration is not in order because ConcurrentDictionary, like Dictionary, is unordered.  Also note that both E and F show the value 6.  This is because the output task reached F before the update, but the updates for the rest of the items occurred before their output (probably because console output is very slow, comparatively). If we want to always guarantee that we will get a consistent snapshot to iterate over (that is, at the point we ask for it we see precisely what is in the dictionary and no subsequent updates during iteration), we should iterate over a call to ToArray() instead: 1: // attempt iteration in a separate thread 2: var iterationTask = new Task(() => 3: { 4: // iterates using a dirty read 5: foreach (var pair in dictionary.ToArray()) 6: { 7: Console.WriteLine(pair.Key + ":" + pair.Value); 8: } 9: }); The atomic Try…() methods As you can imagine TryAdd() and TryRemove() have few surprises.  Both first check the existence of the item to determine if it can be added or removed based on whether or not the key currently exists in the dictionary: 1: // try add attempts an add and returns false if it already exists 2: if (dictionary.TryAdd("G", 7)) 3: Console.WriteLine("G did not exist, now inserted with 7"); 4: else 5: Console.WriteLine("G already existed, insert failed."); TryRemove() also has the virtue of returning the value portion of the removed entry matching the given key: 1: // attempt to remove the value, if it exists it is removed and the original is returned 2: int removedValue; 3: if (dictionary.TryRemove("C", out removedValue)) 4: Console.WriteLine("Removed C and its value was " + removedValue); 5: else 6: Console.WriteLine("C did not exist, remove failed."); Now TryUpdate() is an interesting creature.  You might think from it’s name that TryUpdate() first checks for an item’s existence, and then updates if the item exists, otherwise it returns false.  Well, note quite... It turns out when you call TryUpdate() on a concurrent dictionary, you pass it not only the new value you want it to have, but also the value you expected it to have before the update.  If the item exists in the dictionary, and it has the value you expected, it will update it to the new value atomically and return true.  If the item is not in the dictionary or does not have the value you expected, it is not modified and false is returned. 1: // attempt to update the value, if it exists and if it has the expected original value 2: if (dictionary.TryUpdate("G", 42, 7)) 3: Console.WriteLine("G existed and was 7, now it's 42."); 4: else 5: Console.WriteLine("G either didn't exist, or wasn't 7."); The composite Add methods The ConcurrentDictionary also has composite add methods that can be used to perform updates and gets, with an add if the item is not existing at the time of the update or get. The first of these, AddOrUpdate(), allows you to add a new item to the dictionary if it doesn’t exist, or update the existing item if it does.  For example, let’s say you are creating a dictionary of counts of stock ticker symbols you’ve subscribed to from a market data feed: 1: public sealed class SubscriptionManager 2: { 3: private readonly ConcurrentDictionary<string, int> _subscriptions = new ConcurrentDictionary<string, int>(); 4:  5: // adds a new subscription, or increments the count of the existing one. 6: public void AddSubscription(string tickerKey) 7: { 8: // add a new subscription with count of 1, or update existing count by 1 if exists 9: var resultCount = _subscriptions.AddOrUpdate(tickerKey, 1, (symbol, count) => count + 1); 10:  11: // now check the result to see if we just incremented the count, or inserted first count 12: if (resultCount == 1) 13: { 14: // subscribe to symbol... 15: } 16: } 17: } Notice the update value factory Func delegate.  If the key does not exist in the dictionary, the add value is used (in this case 1 representing the first subscription for this symbol), but if the key already exists, it passes the key and current value to the update delegate which computes the new value to be stored in the dictionary.  The return result of this operation is the value used (in our case: 1 if added, existing value + 1 if updated). Likewise, the GetOrAdd() allows you to attempt to retrieve a value from the dictionary, and if the value does not currently exist in the dictionary it will insert a value.  This can be handy in cases where perhaps you wish to cache data, and thus you would query the cache to see if the item exists, and if it doesn’t you would put the item into the cache for the first time: 1: public sealed class PriceCache 2: { 3: private readonly ConcurrentDictionary<string, double> _cache = new ConcurrentDictionary<string, double>(); 4:  5: // adds a new subscription, or increments the count of the existing one. 6: public double QueryPrice(string tickerKey) 7: { 8: // check for the price in the cache, if it doesn't exist it will call the delegate to create value. 9: return _cache.GetOrAdd(tickerKey, symbol => GetCurrentPrice(symbol)); 10: } 11:  12: private double GetCurrentPrice(string tickerKey) 13: { 14: // do code to calculate actual true price. 15: } 16: } There are other variations of these two methods which vary whether a value is provided or a factory delegate, but otherwise they work much the same. Oddities with the composite Add methods The AddOrUpdate() and GetOrAdd() methods are totally thread-safe, on this you may rely, but they are not atomic.  It is important to note that the methods that use delegates execute those delegates outside of the lock.  This was done intentionally so that a user delegate (of which the ConcurrentDictionary has no control of course) does not take too long and lock out other threads. This is not necessarily an issue, per se, but it is something you must consider in your design.  The main thing to consider is that your delegate may get called to generate an item, but that item may not be the one returned!  Consider this scenario: A calls GetOrAdd and sees that the key does not currently exist, so it calls the delegate.  Now thread B also calls GetOrAdd and also sees that the key does not currently exist, and for whatever reason in this race condition it’s delegate completes first and it adds its new value to the dictionary.  Now A is done and goes to get the lock, and now sees that the item now exists.  In this case even though it called the delegate to create the item, it will pitch it because an item arrived between the time it attempted to create one and it attempted to add it. Let’s illustrate, assume this totally contrived example program which has a dictionary of char to int.  And in this dictionary we want to store a char and it’s ordinal (that is, A = 1, B = 2, etc).  So for our value generator, we will simply increment the previous value in a thread-safe way (perhaps using Interlocked): 1: public static class Program 2: { 3: private static int _nextNumber = 0; 4:  5: // the holder of the char to ordinal 6: private static ConcurrentDictionary<char, int> _dictionary 7: = new ConcurrentDictionary<char, int>(); 8:  9: // get the next id value 10: public static int NextId 11: { 12: get { return Interlocked.Increment(ref _nextNumber); } 13: } Then, we add a method that will perform our insert: 1: public static void Inserter() 2: { 3: for (int i = 0; i < 26; i++) 4: { 5: _dictionary.GetOrAdd((char)('A' + i), key => NextId); 6: } 7: } Finally, we run our test by starting two tasks to do this work and get the results… 1: public static void Main() 2: { 3: // 3 tasks attempting to get/insert 4: var tasks = new List<Task> 5: { 6: new Task(Inserter), 7: new Task(Inserter) 8: }; 9:  10: tasks.ForEach(t => t.Start()); 11: Task.WaitAll(tasks.ToArray()); 12:  13: foreach (var pair in _dictionary.OrderBy(p => p.Key)) 14: { 15: Console.WriteLine(pair.Key + ":" + pair.Value); 16: } 17: } If you run this with only one task, you get the expected A:1, B:2, ..., Z:26.  But running this in parallel you will get something a bit more complex.  My run netted these results: 1: A:1 2: B:3 3: C:4 4: D:5 5: E:6 6: F:7 7: G:8 8: H:9 9: I:10 10: J:11 11: K:12 12: L:13 13: M:14 14: N:15 15: O:16 16: P:17 17: Q:18 18: R:19 19: S:20 20: T:21 21: U:22 22: V:23 23: W:24 24: X:25 25: Y:26 26: Z:27 Notice that B is 3?  This is most likely because both threads attempted to call GetOrAdd() at roughly the same time and both saw that B did not exist, thus they both called the generator and one thread got back 2 and the other got back 3.  However, only one of those threads can get the lock at a time for the actual insert, and thus the one that generated the 3 won and the 3 was inserted and the 2 got discarded.  This is why on these methods your factory delegates should be careful not to have any logic that would be unsafe if the value they generate will be pitched in favor of another item generated at roughly the same time.  As such, it is probably a good idea to keep those generators as stateless as possible. Summary The ConcurrentDictionary is a very efficient and thread-safe version of the Dictionary generic collection.  It has all the benefits of type-safety that it’s generic collection counterpart does, and in addition is extremely efficient especially when there are more reads than writes concurrently. Tweet Technorati Tags: C#, .NET, Concurrent Collections, Collections, Little Wonders, Black Rabbit Coder,James Michael Hare

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  • WIF, ADFS 2 and WCF&ndash;Part 3: ADFS Setup

    - by Your DisplayName here!
    In part 1 of this series I briefly gave an overview of the ADFS / WS-Trust infrastructure. In part 2 we created a basic WCF service that uses ADFS for authentication. This part will walk you through the steps to register the service in ADFS 2. I could provide screenshots for all the wizard pages here – but since this is really easy – I just go through the necessary steps in textual form. Step 1 – Select Data Source Here you can decide if you want to import a federation metadata file that describes the service you want to register. In that case all necessary information is inside the metadata document and you are done. FedUtil (a tool that ships with WIF) can generate such metadata for the most simple cases. Another tool to create metadata can be found here. We choose ‘Manual’ here. Step 2 – Specify Display Name I guess that’s self explaining. Step 3 – Choose Profile Choose ‘ADFS 2 Profile’ here. Step 4 – Configure Certificate Remember that we specified a certificate (or rather a private key) to be used to decrypting incoming tokens in the previous post. Here you specify the corresponding public key that ADFS 2 should use for encrypting the token. Step 5 – Configure URL This page is used to configure WS-Federation and SAML 2.0p support. Since we are using WS-Trust you can leave both boxes unchecked. Step 6 – Configure Identifier Here you specify the identifier (aka the realm, aka the appliesTo) that will be used to request tokens for the service. This value will be used in the token request and is used by ADFS 2 to make a connection to the relying party configuration and claim rules. Step 7 – Configure Issuance Authorization Rules Here you can configure who is allowed to request token for the service. I won’t go into details here how these rules exactly work – that’s for a separate blog post. For now simply use the “Permit all users” option. OK – that’s it. The service is now registered at ADFS 2. In the next part we will finally look at the service client. Stay tuned…

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  • ASP.Net or WPF(C#)?

    - by Rachel
    Our team is divided on this and I wanted to get some third-party opinions. We are building an application and cannot decide if we want to use .Net WPF Desktop Application with a WCF server, or ASP.Net web app using jQuery. I thought I'd ask the question here, with some specs, and see what the pros/cons of using either side would be. I have my own favorite and feel I am biased. Ideally we want to build the initial release of the software as fast as we can, then slow down and take time to build in the additional features/components we want later on. Above all we want the software to be fast. Users go through records all day long and delays in loading records or refreshing screens kills their productivity. Application Details: I'm estimating around 100 different screens for initial version, with plans for a lot of additional screens being added on later after the initial release. We are looking to use two-way communication for reminder and event systems Currently has to support around 100 users, although we've been told to allow for growth up to 500 users We have multiple locations Items to consider (maybe not initially in some cases but in future releases): Room for additional components to be added after initial release (there are a lot of of these... perhaps work here than the initial application) Keyboard navigation Performance is a must Production Speed to initial version Low maintenance overhead Future support Softphone/Scanner integration Our Developers: We have 1 programmer who has been learning WPF the past few months and was the one who suggested we use WPF for this. We have a 2nd programmer who is familiar with ASP.Net and who may help with the project in the future, although he will not be working on it much up until the initial release since his time is spent maintaining our current software. There is me, who has worked with both and am comfortable in either We have an outside company doing the project management, and they are an ASP.Net company. We plan on hiring 1-2 others, however we need to know what direction we are going in first Environment: General users are on Windows 2003 server with Terminal Services. They connect using WYSE thin-clients over an RDP connection. Admin staff has their own PCs with XP or higher. Users are allowed to specify their own resolution although they are limited to using IE as the web browser. Other locations connects to our network over a MPLS connection Based on that, what would you choose and why? I am asking here instead of SO because I am looking for opinions and not answers

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  • SQL SERVER – Introduction to FIRST _VALUE and LAST_VALUE – Analytic Functions Introduced in SQL Server 2012

    - by pinaldave
    SQL Server 2012 introduces new analytical functions FIRST_VALUE() and LAST_VALUE(). This function returns first and last value from the list. It will be very difficult to explain this in words so I’d like to attempt to explain its function through a brief example. Instead of creating a new table, I will be using the AdventureWorks sample database as most developers use that for experiment purposes. Now let’s have fun following query: USE AdventureWorks GO SELECT s.SalesOrderID,s.SalesOrderDetailID,s.OrderQty, FIRST_VALUE(SalesOrderDetailID) OVER (ORDER BY SalesOrderDetailID) FstValue, LAST_VALUE(SalesOrderDetailID) OVER (ORDER BY SalesOrderDetailID) LstValue FROM Sales.SalesOrderDetail s WHERE SalesOrderID IN (43670, 43669, 43667, 43663) ORDER BY s.SalesOrderID,s.SalesOrderDetailID,s.OrderQty GO The above query will give us the following result: What’s the most interesting thing here is that as we go from row 1 to row 10, the value of the FIRST_VALUE() remains the same but the value of the LAST_VALUE is increasing. The reason behind this is that as we progress in every line – considering that line and all the other lines before it, the last value will be of the row where we are currently looking at. To fully understand this statement, see the following figure: This may be useful in some cases; but not always. However, when we use the same thing with PARTITION BY, the same query starts showing the result which can be easily used in analytical algorithms and needs. Let us have fun through the following query: Let us fun following query. USE AdventureWorks GO SELECT s.SalesOrderID,s.SalesOrderDetailID,s.OrderQty, FIRST_VALUE(SalesOrderDetailID) OVER (PARTITION BY SalesOrderID ORDER BY SalesOrderDetailID) FstValue, LAST_VALUE(SalesOrderDetailID) OVER (PARTITION BY SalesOrderID ORDER BY SalesOrderDetailID) LstValue FROM Sales.SalesOrderDetail s WHERE SalesOrderID IN (43670, 43669, 43667, 43663) ORDER BY s.SalesOrderID,s.SalesOrderDetailID,s.OrderQty GO The above query will give us the following result: Let us understand how PARTITION BY windows the resultset. I have used PARTITION BY SalesOrderID in my query. This will create small windows of the resultset from the original resultset and will follow the logic or FIRST_VALUE and LAST_VALUE in this resultset. Well, this is just an introduction to these functions. In the future blog posts we will go deeper to discuss the usage of these two functions. By the way, these functions can be applied over VARCHAR fields as well and are not limited to the numeric field only. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Function, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • O the Agony - Merging Scrum and Waterfall

    - by John K. Hines
    If there's nothing else to know about Scrum (and Agile in general), it's this: You can't force a team to adopt Agile methods.  In all cases, the team must want to change. Well, sure, you could force a team.  But it's going to be a horrible, painful process with a huge learning curve made even steeper by the lack of training and motivation on behalf of the team.  On a completely unrelated note, I've spent the past three months working on a team that was formed by merging three separate teams.  One of these teams has been adopting and using Agile practices like Scrum since 2007, the other was in continuous bug fix mode, releasing on average one new piece of software per year using semi-Waterfall methods.  In particular, one senior developer on the Waterfall team didn't see anything in Agile but overhead. Fast forward through three months of tension, passive resistance, process pushback, and you have seven people who want to change and one who explicitly doesn't.  It took two things to make Scrum happen: The team manager took a class called "Agile Software Development using Scrum". The team lead explained the point of Agile was to reduce the workload of the senior developer, with another senior developer and the manager present. It's incredible to me how a single person can strongly influence the direction of an entire team.  Let alone if Scrum comes down as some managerial decree onto a functioning team who have no idea what it is.  Pity the fool. On the bright side, I am now an expert at drawing Visio process flows.  And I have some gentle advice for any first-level managers: If you preside over a team process change, it's beneficial to start the discussion on how the team will work as early as possible.  You should have a vision for this and guide the discussion, even if decisions are weeks away.  Don't always root for the underdog.  It's been my experience that managers who see themselves as compassionate and caring spend a great deal of time understanding and advocating for the one person on the team who feels left out.  Remember that by focusing on this one person you risk alienating the rest of the team, allow tension to build, and delay the resolution of the problem. My way would have been to decree Scrum, force all of my processes on everyone else, and use the past three months ironing out the kinks.  Which takes us all the way back to point number one. Technorati tags: Scrum Scrum Process Scrum and Waterfall

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  • C# Domain-Driven Design Sample Released

    - by Artur Trosin
    In the post I want to declare that NDDD Sample application(s) is released and share the work with you. You can access it here: http://code.google.com/p/ndddsample. NDDDSample from functionality perspective matches DDDSample 1.1.0 which is based Java and on joint effort by Eric Evans' company Domain Language and the Swedish software consulting company Citerus. But because NDDDSample is based on .NET technologies those two implementations could not be matched directly. However concepts, practices, values, patterns, especially DDD, are cross-language and cross-platform :). Implementation of .NET version of the application was an interesting journey because now as .NET developer I better understand the differences positive and negative between these two platforms. Even there are those differences they can be overtaken, in many cases it was not so hard to match a java libs\framework with .NET during the implementation. Here is a list of technology stack: 1. .net 3.5 - framework 2. VS.NET 2008 - IDE 3. ASP.NET MVC2.0 - for administration and tracking UI 4. WCF - communication mechanism 5. NHibernate - ORM 6. Rhino Commons - Nhibernate session management, base classes for in memory unit tests 7. SqlLite - database 8. Windsor - inversion of control container 9. Windsor WCF facility - for better integration with NHibernate 10. MvcContrib - and in particular its Castle WindsorControllerFactory in order to enable IoC for controllers 11. WPF - for incident logging application 12. Moq - mocking lib used for unit tests 13. NUnit - unit testing framework 14. Log4net - logging framework 15. Cloud based on Azure SDK These are not the latest technologies, tools and libs for the moment but if there are someone thinks that it would be useful to migrate the sample to latest current technologies and versions please comment. Cloud version of the application is based on Azure emulated environment provided by the SDK, so it hasn't been tested on ‘real' Azure scenario (we just do not have access to it). Thanks to participants, Eugen Gorgan who was involved directly in development, Ruslan Rusu and Victor Lungu spend their free time to discuss .NET specific decisions, Eugen Navitaniuc helped with Java related questions. Also, big thank to Cornel Cretu, he designed a nice logo and helped with some browser incompatibility issues. Any review and feedback are welcome! Thank you, Artur Trosin

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  • Are You In The Know About Knowledge?

    - by [email protected]
    "Knowledge is of two kinds. We know a subject ourselves, or we know where we can find information on it." To me, this simple and elegant quote from the great English author Samuel Johnson is a reflection of Oracle's knowledge base strategy. The knowledge base in the My Oracle Support portal (https://support.oracle.com) hosts nearly a half million documents, including how-to instructions, problem-solution descriptions, code samples, FAQs, critical alerts, technical whitepapers, and so on. AutoVue's footprint in the Oracle knowledge base - although relatively small at just around 400 documents - is a steadily-expanding assortment of valuable info. This information is designed to complement what you have already learned from the AutoVue documentation, or in some cases, to examine topics not yet covered in the documentation. Similar to the documentation, the knowledge base is one of the highest-value self-service avenues, since it delivers answers in real-time and is driven by the topics most relevant to customers. There are many different ways to leverage the AutoVue knowledge content, or what Oracle often refers to as "KM Notes": 1. Knowledge Browser: To browse the knowledge hierarchy, click on the 'Knowledge' tab at the top of the My Oracle Support webpage. In the list of product areas at the left, click on 'More Applications', then on 'Oracle AutoVue'. From here, you can either view the full set of KM Notes under the AutoVue product family (AutoVue, VueLink, Web Services, Document Print Services, etc) by clicking on 'All of Oracle AutoVue', or you can drill down further by clicking on 'Enterprise Visualization'. 2. Search: To execute simple keyword searches, use the Search bar at the top-right of the My Oracle Support webpage: 3. Advanced Search: Beside the same Search bar at the top-right of the My Oracle Support webpage, click on the 'Advanced' link in order to increase your control over the search string as well as the product to search against: 4. In your Dashboard: By clicking on the 'Customize' link at the top-right of the Dashboard page in My Oracle Support, you can drag & drop multiple "Knowledge Articles" widgets onto your dashboard. Then, click on the pencil icon at the top-right of the widget to customize it by product. This allows you to keep an active monitor on the most recently updated KM Notes across any product: 5. During SR Creation: As you submit a new Service Request, after entering the product information, SR title, and SR description, you will be presented with a frame at the left containing KM Note suggestions based on the information entered: Let Oracle know what you think! If you like or dislike an article, or would like to comment on how easy/difficult it was to find the article, click on the "Rate this document" link at the bottom of the KM Note. Similarly, during SR creation if one of the suggested KM Notes resolves your question/issue, you can click the "This article solved my problem" link at the bottom of the page. I hope these approaches improve your ability find knowledge content within the My Oracle Support portal, and I encourage you to continue to build your knowledge to further your success with the AutoVue product family.

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  • Much Ado About Nothing: Stub Objects

    - by user9154181
    The Solaris 11 link-editor (ld) contains support for a new type of object that we call a stub object. A stub object is a shared object, built entirely from mapfiles, that supplies the same linking interface as the real object, while containing no code or data. Stub objects cannot be executed — the runtime linker will kill any process that attempts to load one. However, you can link to a stub object as a dependency, allowing the stub to act as a proxy for the real version of the object. You may well wonder if there is a point to producing an object that contains nothing but linking interface. As it turns out, stub objects are very useful for building large bodies of code such as Solaris. In the last year, we've had considerable success in applying them to one of our oldest and thorniest build problems. In this discussion, I will describe how we came to invent these objects, and how we apply them to building Solaris. This posting explains where the idea for stub objects came from, and details our long and twisty journey from hallway idea to standard link-editor feature. I expect that these details are mainly of interest to those who work on Solaris and its makefiles, those who have done so in the past, and those who work with other similar bodies of code. A subsequent posting will omit the history and background details, and instead discuss how to build and use stub objects. If you are mainly interested in what stub objects are, and don't care about the underlying software war stories, I encourage you to skip ahead. The Long Road To Stubs This all started for me with an email discussion in May of 2008, regarding a change request that was filed in 2002, entitled: 4631488 lib/Makefile is too patient: .WAITs should be reduced This CR encapsulates a number of cronic issues with Solaris builds: We build Solaris with a parallel make (dmake) that tries to build as much of the code base in parallel as possible. There is a lot of code to build, and we've long made use of parallelized builds to get the job done quicker. This is even more important in today's world of massively multicore hardware. Solaris contains a large number of executables and shared objects. Executables depend on shared objects, and shared objects can depend on each other. Before you can build an object, you need to ensure that the objects it needs have been built. This implies a need for serialization, which is in direct opposition to the desire to build everying in parallel. To accurately build objects in the right order requires an accurate set of make rules defining the things that depend on each other. This sounds simple, but the reality is quite complex. In practice, having programmers explicitly specify these dependencies is a losing strategy: It's really hard to get right. It's really easy to get it wrong and never know it because things build anyway. Even if you get it right, it won't stay that way, because dependencies between objects can change over time, and make cannot help you detect such drifing. You won't know that you got it wrong until the builds break. That can be a long time after the change that triggered the breakage happened, making it hard to connect the cause and the effect. Usually this happens just before a release, when the pressure is on, its hard to think calmly, and there is no time for deep fixes. As a poor compromise, the libraries in core Solaris were built using a set of grossly incomplete hand written rules, supplemented with a number of dmake .WAIT directives used to group the libraries into sets of non-interacting groups that can be built in parallel because we think they don't depend on each other. From time to time, someone will suggest that we could analyze the built objects themselves to determine their dependencies and then generate make rules based on those relationships. This is possible, but but there are complications that limit the usefulness of that approach: To analyze an object, you have to build it first. This is a classic chicken and egg scenario. You could analyze the results of a previous build, but then you're not necessarily going to get accurate rules for the current code. It should be possible to build the code without having a built workspace available. The analysis will take time, and remember that we're constantly trying to make builds faster, not slower. By definition, such an approach will always be approximate, and therefore only incremantally more accurate than the hand written rules described above. The hand written rules are fast and cheap, while this idea is slow and complex, so we stayed with the hand written approach. Solaris was built that way, essentially forever, because these are genuinely difficult problems that had no easy answer. The makefiles were full of build races in which the right outcomes happened reliably for years until a new machine or a change in build server workload upset the accidental balance of things. After figuring out what had happened, you'd mutter "How did that ever work?", add another incomplete and soon to be inaccurate make dependency rule to the system, and move on. This was not a satisfying solution, as we tend to be perfectionists in the Solaris group, but we didn't have a better answer. It worked well enough, approximately. And so it went for years. We needed a different approach — a new idea to cut the Gordian Knot. In that discussion from May 2008, my fellow linker-alien Rod Evans had the initial spark that lead us to a game changing series of realizations: The link-editor is used to link objects together, but it only uses the ELF metadata in the object, consisting of symbol tables, ELF versioning sections, and similar data. Notably, it does not look at, or understand, the machine code that makes an object useful at runtime. If you had an object that only contained the ELF metadata for a dependency, but not the code or data, the link-editor would find it equally useful for linking, and would never know the difference. Call it a stub object. In the core Solaris OS, we require all objects to be built with a link-editor mapfile that describes all of its publically available functions and data. Could we build a stub object using the mapfile for the real object? It ought to be very fast to build stub objects, as there are no input objects to process. Unlike the real object, stub objects would not actually require any dependencies, and so, all of the stubs for the entire system could be built in parallel. When building the real objects, one could link against the stub objects instead of the real dependencies. This means that all the real objects can be built built in parallel too, without any serialization. We could replace a system that requires perfect makefile rules with a system that requires no ordering rules whatsoever. The results would be considerably more robust. We immediately realized that this idea had potential, but also that there were many details to sort out, lots of work to do, and that perhaps it wouldn't really pan out. As is often the case, it would be necessary to do the work and see how it turned out. Following that conversation, I set about trying to build a stub object. We determined that a faithful stub has to do the following: Present the same set of global symbols, with the same ELF versioning, as the real object. Functions are simple — it suffices to have a symbol of the right type, possibly, but not necessarily, referencing a null function in its text segment. Copy relocations make data more complicated to stub. The possibility of a copy relocation means that when you create a stub, the data symbols must have the actual size of the real data. Any error in this will go uncaught at link time, and will cause tragic failures at runtime that are very hard to diagnose. For reasons too obscure to go into here, involving tentative symbols, it is also important that the data reside in bss, or not, matching its placement in the real object. If the real object has more than one symbol pointing at the same data item, we call these aliased symbols. All data symbols in the stub object must exhibit the same aliasing as the real object. We imagined the stub library feature working as follows: A command line option to ld tells it to produce a stub rather than a real object. In this mode, only mapfiles are examined, and any object or shared libraries on the command line are are ignored. The extra information needed (function or data, size, and bss details) would be added to the mapfile. When building the real object instead of the stub, the extra information for building stubs would be validated against the resulting object to ensure that they match. In exploring these ideas, I immediately run headfirst into the reality of the original mapfile syntax, a subject that I would later write about as The Problem(s) With Solaris SVR4 Link-Editor Mapfiles. The idea of extending that poor language was a non-starter. Until a better mapfile syntax became available, which seemed unlikely in 2008, the solution could not involve extentions to the mapfile syntax. Instead, we cooked up the idea (hack) of augmenting mapfiles with stylized comments that would carry the necessary information. A typical definition might look like: # DATA(i386) __iob 0x3c0 # DATA(amd64,sparcv9) __iob 0xa00 # DATA(sparc) __iob 0x140 iob; A further problem then became clear: If we can't extend the mapfile syntax, then there's no good way to extend ld with an option to produce stub objects, and to validate them against the real objects. The idea of having ld read comments in a mapfile and parse them for content is an unacceptable hack. The entire point of comments is that they are strictly for the human reader, and explicitly ignored by the tool. Taking all of these speed bumps into account, I made a new plan: A perl script reads the mapfiles, generates some small C glue code to produce empty functions and data definitions, compiles and links the stub object from the generated glue code, and then deletes the generated glue code. Another perl script used after both objects have been built, to compare the real and stub objects, using data from elfdump, and validate that they present the same linking interface. By June 2008, I had written the above, and generated a stub object for libc. It was a useful prototype process to go through, and it allowed me to explore the ideas at a deep level. Ultimately though, the result was unsatisfactory as a basis for real product. There were so many issues: The use of stylized comments were fine for a prototype, but not close to professional enough for shipping product. The idea of having to document and support it was a large concern. The ideal solution for stub objects really does involve having the link-editor accept the same arguments used to build the real object, augmented with a single extra command line option. Any other solution, such as our prototype script, will require makefiles to be modified in deeper ways to support building stubs, and so, will raise barriers to converting existing code. A validation script that rederives what the linker knew when it built an object will always be at a disadvantage relative to the actual linker that did the work. A stub object should be identifyable as such. In the prototype, there was no tag or other metadata that would let you know that they weren't real objects. Being able to identify a stub object in this way means that the file command can tell you what it is, and that the runtime linker can refuse to try and run a program that loads one. At that point, we needed to apply this prototype to building Solaris. As you might imagine, the task of modifying all the makefiles in the core Solaris code base in order to do this is a massive task, and not something you'd enter into lightly. The quality of the prototype just wasn't good enough to justify that sort of time commitment, so I tabled the project, putting it on my list of long term things to think about, and moved on to other work. It would sit there for a couple of years. Semi-coincidentally, one of the projects I tacked after that was to create a new mapfile syntax for the Solaris link-editor. We had wanted to do something about the old mapfile syntax for many years. Others before me had done some paper designs, and a great deal of thought had already gone into the features it should, and should not have, but for various reasons things had never moved beyond the idea stage. When I joined Sun in late 2005, I got involved in reviewing those things and thinking about the problem. Now in 2008, fresh from relearning for the Nth time why the old mapfile syntax was a huge impediment to linker progress, it seemed like the right time to tackle the mapfile issue. Paving the way for proper stub object support was not the driving force behind that effort, but I certainly had them in mind as I moved forward. The new mapfile syntax, which we call version 2, integrated into Nevada build snv_135 in in February 2010: 6916788 ld version 2 mapfile syntax PSARC/2009/688 Human readable and extensible ld mapfile syntax In order to prove that the new mapfile syntax was adequate for general purpose use, I had also done an overhaul of the ON consolidation to convert all mapfiles to use the new syntax, and put checks in place that would ensure that no use of the old syntax would creep back in. That work went back into snv_144 in June 2010: 6916796 OSnet mapfiles should use version 2 link-editor syntax That was a big putback, modifying 517 files, adding 18 new files, and removing 110 old ones. I would have done this putback anyway, as the work was already done, and the benefits of human readable syntax are obvious. However, among the justifications listed in CR 6916796 was this We anticipate adding additional features to the new mapfile language that will be applicable to ON, and which will require all sharable object mapfiles to use the new syntax. I never explained what those additional features were, and no one asked. It was premature to say so, but this was a reference to stub objects. By that point, I had already put together a working prototype link-editor with the necessary support for stub objects. I was pleased to find that building stubs was indeed very fast. On my desktop system (Ultra 24), an amd64 stub for libc can can be built in a fraction of a second: % ptime ld -64 -z stub -o stubs/libc.so.1 -G -hlibc.so.1 \ -ztext -zdefs -Bdirect ... real 0.019708910 user 0.010101680 sys 0.008528431 In order to go from prototype to integrated link-editor feature, I knew that I would need to prove that stub objects were valuable. And to do that, I knew that I'd have to switch the Solaris ON consolidation to use stub objects and evaluate the outcome. And in order to do that experiment, ON would first need to be converted to version 2 mapfiles. Sub-mission accomplished. Normally when you design a new feature, you can devise reasonably small tests to show it works, and then deploy it incrementally, letting it prove its value as it goes. The entire point of stub objects however was to demonstrate that they could be successfully applied to an extremely large and complex code base, and specifically to solve the Solaris build issues detailed above. There was no way to finesse the matter — in order to move ahead, I would have to successfully use stub objects to build the entire ON consolidation and demonstrate their value. In software, the need to boil the ocean can often be a warning sign that things are trending in the wrong direction. Conversely, sometimes progress demands that you build something large and new all at once. A big win, or a big loss — sometimes all you can do is try it and see what happens. And so, I spent some time staring at ON makefiles trying to get a handle on how things work, and how they'd have to change. It's a big and messy world, full of complex interactions, unspecified dependencies, special cases, and knowledge of arcane makefile features... ...and so, I backed away, put it down for a few months and did other work... ...until the fall, when I felt like it was time to stop thinking and pondering (some would say stalling) and get on with it. Without stubs, the following gives a simplified high level view of how Solaris is built: An initially empty directory known as the proto, and referenced via the ROOT makefile macro is established to receive the files that make up the Solaris distribution. A top level setup rule creates the proto area, and performs operations needed to initialize the workspace so that the main build operations can be launched, such as copying needed header files into the proto area. Parallel builds are launched to build the kernel (usr/src/uts), libraries (usr/src/lib), and commands. The install makefile target builds each item and delivers a copy to the proto area. All libraries and executables link against the objects previously installed in the proto, implying the need to synchronize the order in which things are built. Subsequent passes run lint, and do packaging. Given this structure, the additions to use stub objects are: A new second proto area is established, known as the stub proto and referenced via the STUBROOT makefile macro. The stub proto has the same structure as the real proto, but is used to hold stub objects. All files in the real proto are delivered as part of the Solaris product. In contrast, the stub proto is used to build the product, and then thrown away. A new target is added to library Makefiles called stub. This rule builds the stub objects. The ld command is designed so that you can build a stub object using the same ld command line you'd use to build the real object, with the addition of a single -z stub option. This means that the makefile rules for building the stub objects are very similar to those used to build the real objects, and many existing makefile definitions can be shared between them. A new target is added to the Makefiles called stubinstall which delivers the stub objects built by the stub rule into the stub proto. These rules reuse much of existing plumbing used by the existing install rule. The setup rule runs stubinstall over the entire lib subtree as part of its initialization. All libraries and executables link against the objects in the stub proto rather than the main proto, and can therefore be built in parallel without any synchronization. There was no small way to try this that would yield meaningful results. I would have to take a leap of faith and edit approximately 1850 makefiles and 300 mapfiles first, trusting that it would all work out. Once the editing was done, I'd type make and see what happened. This took about 6 weeks to do, and there were many dark days when I'd question the entire project, or struggle to understand some of the many twisted and complex situations I'd uncover in the makefiles. I even found a couple of new issues that required changes to the new stub object related code I'd added to ld. With a substantial amount of encouragement and help from some key people in the Solaris group, I eventually got the editing done and stub objects for the entire workspace built. I found that my desktop system could build all the stub objects in the workspace in roughly a minute. This was great news, as it meant that use of the feature is effectively free — no one was likely to notice or care about the cost of building them. After another week of typing make, fixing whatever failed, and doing it again, I succeeded in getting a complete build! The next step was to remove all of the make rules and .WAIT statements dedicated to controlling the order in which libraries under usr/src/lib are built. This came together pretty quickly, and after a few more speed bumps, I had a workspace that built cleanly and looked like something you might actually be able to integrate someday. This was a significant milestone, but there was still much left to do. I turned to doing full nightly builds. Every type of build (open, closed, OpenSolaris, export, domestic) had to be tried. Each type failed in a new and unique way, requiring some thinking and rework. As things came together, I became aware of things that could have been done better, simpler, or cleaner, and those things also required some rethinking, the seeking of wisdom from others, and some rework. After another couple of weeks, it was in close to final form. My focus turned towards the end game and integration. This was a huge workspace, and needed to go back soon, before changes in the gate would made merging increasingly difficult. At this point, I knew that the stub objects had greatly simplified the makefile logic and uncovered a number of race conditions, some of which had been there for years. I assumed that the builds were faster too, so I did some builds intended to quantify the speedup in build time that resulted from this approach. It had never occurred to me that there might not be one. And so, I was very surprised to find that the wall clock build times for a stock ON workspace were essentially identical to the times for my stub library enabled version! This is why it is important to always measure, and not just to assume. One can tell from first principles, based on all those removed dependency rules in the library makefile, that the stub object version of ON gives dmake considerably more opportunities to overlap library construction. Some hypothesis were proposed, and shot down: Could we have disabled dmakes parallel feature? No, a quick check showed things being build in parallel. It was suggested that we might be I/O bound, and so, the threads would be mostly idle. That's a plausible explanation, but system stats didn't really support it. Plus, the timing between the stub and non-stub cases were just too suspiciously identical. Are our machines already handling as much parallelism as they are capable of, and unable to exploit these additional opportunities? Once again, we didn't see the evidence to back this up. Eventually, a more plausible and obvious reason emerged: We build the libraries and commands (usr/src/lib, usr/src/cmd) in parallel with the kernel (usr/src/uts). The kernel is the long leg in that race, and so, wall clock measurements of build time are essentially showing how long it takes to build uts. Although it would have been nice to post a huge speedup immediately, we can take solace in knowing that stub objects simplify the makefiles and reduce the possibility of race conditions. The next step in reducing build time should be to find ways to reduce or overlap the uts part of the builds. When that leg of the build becomes shorter, then the increased parallelism in the libs and commands will pay additional dividends. Until then, we'll just have to settle for simpler and more robust. And so, I integrated the link-editor support for creating stub objects into snv_153 (November 2010) with 6993877 ld should produce stub objects PSARC/2010/397 ELF Stub Objects followed by the work to convert the ON consolidation in snv_161 (February 2011) with 7009826 OSnet should use stub objects 4631488 lib/Makefile is too patient: .WAITs should be reduced This was a huge putback, with 2108 modified files, 8 new files, and 2 removed files. Due to the size, I was allowed a window after snv_160 closed in which to do the putback. It went pretty smoothly for something this big, a few more preexisting race conditions would be discovered and addressed over the next few weeks, and things have been quiet since then. Conclusions and Looking Forward Solaris has been built with stub objects since February. The fact that developers no longer specify the order in which libraries are built has been a big success, and we've eliminated an entire class of build error. That's not to say that there are no build races left in the ON makefiles, but we've taken a substantial bite out of the problem while generally simplifying and improving things. The introduction of a stub proto area has also opened some interesting new possibilities for other build improvements. As this article has become quite long, and as those uses do not involve stub objects, I will defer that discussion to a future article.

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  • Renault under threat from industrial espionage, intellectual property the target

    - by Simon Thorpe
    Last year we saw news of both General Motors and Ford losing a significant amount of valuable information to competitors overseas. Within weeks of the turn of 2011 we see the European car manufacturer, Renault, also suffering. In a recent news report, French Industry Minister Eric Besson warned the country was facing "economic war" and referenced a serious case of espionage which concerns information pertaining to the development of electric cars. Renault senior vice president Christian Husson told the AFP news agency that the people concerned were in a "particularly strategic position" in the company. An investigation had uncovered a "body of evidence which shows that the actions of these three colleagues were contrary to the ethics of Renault and knowingly and deliberately placed at risk the company's assets", Mr Husson said. A source told Reuters on Wednesday the company is worried its flagship electric vehicle program, in which Renault with its partner Nissan is investing 4 billion euros ($5.3 billion), might be threatened. This casts a shadow over the estimated losses of Ford ($50 million) and General Motors ($40 million). One executive in the corporate intelligence-gathering industry, who spoke on condition of anonymity, said: "It's really difficult to say it's a case of corporate espionage ... It can be carelessness." He cited a hypothetical example of an enthusiastic employee giving away too much information about his job on an online forum. While information has always been passed and leaked, inadvertently or on purpose, the rise of the Internet and social media means corporate spies or careless employees are now more likely to be found out, he added. We are seeing more and more examples of where companies like these need to invest in technologies such as Oracle IRM to ensure such important information can be kept under control. It isn't just the recent release of information into the public domain via the Wikileaks website that is of concern, but also the increasing threats of industrial espionage in cases such as these. Information rights management doesn't totally remove the threat, but abilities to control documents no matter where they exist certainly increases the capabilities significantly. Every single time someone opens a sealed document the IRM system audits the activity. This makes identifying a potential source for a leak much easier when you have an absolute record of every person who's had access to the documents. Oracle IRM can also help with accidental or careless loss. Often people use very sensitive information all the time and forget the importance of handling it correctly. With the ability to protect the information from screen shots and prevent people copy and pasting document information into social networks and other, unsecured documents, Oracle IRM brings a totally new level of information security that would have a significant impact on reducing the risk these organizations face of losing their most valuable information.

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  • Using Stub Objects

    - by user9154181
    Having told the long and winding tale of where stub objects came from and how we use them to build Solaris, I'd like to focus now on the the nuts and bolts of building and using them. The following new features were added to the Solaris link-editor (ld) to support the production and use of stub objects: -z stub This new command line option informs ld that it is to build a stub object rather than a normal object. In this mode, it accepts the same command line arguments as usual, but will quietly ignore any objects and sharable object dependencies. STUB_OBJECT Mapfile Directive In order to build a stub version of an object, its mapfile must specify the STUB_OBJECT directive. When producing a non-stub object, the presence of STUB_OBJECT causes the link-editor to perform extra validation to ensure that the stub and non-stub objects will be compatible. ASSERT Mapfile Directive All data symbols exported from the object must have an ASSERT symbol directive in the mapfile that declares them as data and supplies the size, binding, bss attributes, and symbol aliasing details. When building the stub objects, the information in these ASSERT directives is used to create the data symbols. When building the real object, these ASSERT directives will ensure that the real object matches the linking interface presented by the stub. Although ASSERT was added to the link-editor in order to support stub objects, they are a general purpose feature that can be used independently of stub objects. For instance you might choose to use an ASSERT directive if you have a symbol that must have a specific address in order for the object to operate properly and you want to automatically ensure that this will always be the case. The material presented here is derived from a document I originally wrote during the development effort, which had the dual goals of providing supplemental materials for the stub object PSARC case, and as a set of edits that were eventually applied to the Oracle Solaris Linker and Libraries Manual (LLM). The Solaris 11 LLM contains this information in a more polished form. Stub Objects A stub object is a shared object, built entirely from mapfiles, that supplies the same linking interface as the real object, while containing no code or data. Stub objects cannot be used at runtime. However, an application can be built against a stub object, where the stub object provides the real object name to be used at runtime, and then use the real object at runtime. When building a stub object, the link-editor ignores any object or library files specified on the command line, and these files need not exist in order to build a stub. Since the compilation step can be omitted, and because the link-editor has relatively little work to do, stub objects can be built very quickly. Stub objects can be used to solve a variety of build problems: Speed Modern machines, using a version of make with the ability to parallelize operations, are capable of compiling and linking many objects simultaneously, and doing so offers significant speedups. However, it is typical that a given object will depend on other objects, and that there will be a core set of objects that nearly everything else depends on. It is necessary to impose an ordering that builds each object before any other object that requires it. This ordering creates bottlenecks that reduce the amount of parallelization that is possible and limits the overall speed at which the code can be built. Complexity/Correctness In a large body of code, there can be a large number of dependencies between the various objects. The makefiles or other build descriptions for these objects can become very complex and difficult to understand or maintain. The dependencies can change as the system evolves. This can cause a given set of makefiles to become slightly incorrect over time, leading to race conditions and mysterious rare build failures. Dependency Cycles It might be desirable to organize code as cooperating shared objects, each of which draw on the resources provided by the other. Such cycles cannot be supported in an environment where objects must be built before the objects that use them, even though the runtime linker is fully capable of loading and using such objects if they could be built. Stub shared objects offer an alternative method for building code that sidesteps the above issues. Stub objects can be quickly built for all the shared objects produced by the build. Then, all the real shared objects and executables can be built in parallel, in any order, using the stub objects to stand in for the real objects at link-time. Afterwards, the executables and real shared objects are kept, and the stub shared objects are discarded. Stub objects are built from a mapfile, which must satisfy the following requirements. The mapfile must specify the STUB_OBJECT directive. This directive informs the link-editor that the object can be built as a stub object, and as such causes the link-editor to perform validation and sanity checking intended to guarantee that an object and its stub will always provide identical linking interfaces. All function and data symbols that make up the external interface to the object must be explicitly listed in the mapfile. The mapfile must use symbol scope reduction ('*'), to remove any symbols not explicitly listed from the external interface. All global data exported from the object must have an ASSERT symbol attribute in the mapfile to specify the symbol type, size, and bss attributes. In the case where there are multiple symbols that reference the same data, the ASSERT for one of these symbols must specify the TYPE and SIZE attributes, while the others must use the ALIAS attribute to reference this primary symbol. Given such a mapfile, the stub and real versions of the shared object can be built using the same command line for each, adding the '-z stub' option to the link for the stub object, and omiting the option from the link for the real object. To demonstrate these ideas, the following code implements a shared object named idx5, which exports data from a 5 element array of integers, with each element initialized to contain its zero-based array index. This data is available as a global array, via an alternative alias data symbol with weak binding, and via a functional interface. % cat idx5.c int _idx5[5] = { 0, 1, 2, 3, 4 }; #pragma weak idx5 = _idx5 int idx5_func(int index) { if ((index 4)) return (-1); return (_idx5[index]); } A mapfile is required to describe the interface provided by this shared object. % cat mapfile $mapfile_version 2 STUB_OBJECT; SYMBOL_SCOPE { _idx5 { ASSERT { TYPE=data; SIZE=4[5] }; }; idx5 { ASSERT { BINDING=weak; ALIAS=_idx5 }; }; idx5_func; local: *; }; The following main program is used to print all the index values available from the idx5 shared object. % cat main.c #include <stdio.h> extern int _idx5[5], idx5[5], idx5_func(int); int main(int argc, char **argv) { int i; for (i = 0; i The following commands create a stub version of this shared object in a subdirectory named stublib. elfdump is used to verify that the resulting object is a stub. The command used to build the stub differs from that of the real object only in the addition of the -z stub option, and the use of a different output file name. This demonstrates the ease with which stub generation can be added to an existing makefile. % cc -Kpic -G -M mapfile -h libidx5.so.1 idx5.c -o stublib/libidx5.so.1 -zstub % ln -s libidx5.so.1 stublib/libidx5.so % elfdump -d stublib/libidx5.so | grep STUB [11] FLAGS_1 0x4000000 [ STUB ] The main program can now be built, using the stub object to stand in for the real shared object, and setting a runpath that will find the real object at runtime. However, as we have not yet built the real object, this program cannot yet be run. Attempts to cause the system to load the stub object are rejected, as the runtime linker knows that stub objects lack the actual code and data found in the real object, and cannot execute. % cc main.c -L stublib -R '$ORIGIN/lib' -lidx5 -lc % ./a.out ld.so.1: a.out: fatal: libidx5.so.1: open failed: No such file or directory Killed % LD_PRELOAD=stublib/libidx5.so.1 ./a.out ld.so.1: a.out: fatal: stublib/libidx5.so.1: stub shared object cannot be used at runtime Killed We build the real object using the same command as we used to build the stub, omitting the -z stub option, and writing the results to a different file. % cc -Kpic -G -M mapfile -h libidx5.so.1 idx5.c -o lib/libidx5.so.1 Once the real object has been built in the lib subdirectory, the program can be run. % ./a.out [0] 0 0 0 [1] 1 1 1 [2] 2 2 2 [3] 3 3 3 [4] 4 4 4 Mapfile Changes The version 2 mapfile syntax was extended in a number of places to accommodate stub objects. Conditional Input The version 2 mapfile syntax has the ability conditionalize mapfile input using the $if control directive. As you might imagine, these directives are used frequently with ASSERT directives for data, because a given data symbol will frequently have a different size in 32 or 64-bit code, or on differing hardware such as x86 versus sparc. The link-editor maintains an internal table of names that can be used in the logical expressions evaluated by $if and $elif. At startup, this table is initialized with items that describe the class of object (_ELF32 or _ELF64) and the type of the target machine (_sparc or _x86). We found that there were a small number of cases in the Solaris code base in which we needed to know what kind of object we were producing, so we added the following new predefined items in order to address that need: NameMeaning ...... _ET_DYNshared object _ET_EXECexecutable object _ET_RELrelocatable object ...... STUB_OBJECT Directive The new STUB_OBJECT directive informs the link-editor that the object described by the mapfile can be built as a stub object. STUB_OBJECT; A stub shared object is built entirely from the information in the mapfiles supplied on the command line. When the -z stub option is specified to build a stub object, the presence of the STUB_OBJECT directive in a mapfile is required, and the link-editor uses the information in symbol ASSERT attributes to create global symbols that match those of the real object. When the real object is built, the presence of STUB_OBJECT causes the link-editor to verify that the mapfiles accurately describe the real object interface, and that a stub object built from them will provide the same linking interface as the real object it represents. All function and data symbols that make up the external interface to the object must be explicitly listed in the mapfile. The mapfile must use symbol scope reduction ('*'), to remove any symbols not explicitly listed from the external interface. All global data in the object is required to have an ASSERT attribute that specifies the symbol type and size. If the ASSERT BIND attribute is not present, the link-editor provides a default assertion that the symbol must be GLOBAL. If the ASSERT SH_ATTR attribute is not present, or does not specify that the section is one of BITS or NOBITS, the link-editor provides a default assertion that the associated section is BITS. All data symbols that describe the same address and size are required to have ASSERT ALIAS attributes specified in the mapfile. If aliased symbols are discovered that do not have an ASSERT ALIAS specified, the link fails and no object is produced. These rules ensure that the mapfiles contain a description of the real shared object's linking interface that is sufficient to produce a stub object with a completely compatible linking interface. SYMBOL_SCOPE/SYMBOL_VERSION ASSERT Attribute The SYMBOL_SCOPE and SYMBOL_VERSION mapfile directives were extended with a symbol attribute named ASSERT. The syntax for the ASSERT attribute is as follows: ASSERT { ALIAS = symbol_name; BINDING = symbol_binding; TYPE = symbol_type; SH_ATTR = section_attributes; SIZE = size_value; SIZE = size_value[count]; }; The ASSERT attribute is used to specify the expected characteristics of the symbol. The link-editor compares the symbol characteristics that result from the link to those given by ASSERT attributes. If the real and asserted attributes do not agree, a fatal error is issued and the output object is not created. In normal use, the link editor evaluates the ASSERT attribute when present, but does not require them, or provide default values for them. The presence of the STUB_OBJECT directive in a mapfile alters the interpretation of ASSERT to require them under some circumstances, and to supply default assertions if explicit ones are not present. See the definition of the STUB_OBJECT Directive for the details. When the -z stub command line option is specified to build a stub object, the information provided by ASSERT attributes is used to define the attributes of the global symbols provided by the object. ASSERT accepts the following: ALIAS Name of a previously defined symbol that this symbol is an alias for. An alias symbol has the same type, value, and size as the main symbol. The ALIAS attribute is mutually exclusive to the TYPE, SIZE, and SH_ATTR attributes, and cannot be used with them. When ALIAS is specified, the type, size, and section attributes are obtained from the alias symbol. BIND Specifies an ELF symbol binding, which can be any of the STB_ constants defined in <sys/elf.h>, with the STB_ prefix removed (e.g. GLOBAL, WEAK). TYPE Specifies an ELF symbol type, which can be any of the STT_ constants defined in <sys/elf.h>, with the STT_ prefix removed (e.g. OBJECT, COMMON, FUNC). In addition, for compatibility with other mapfile usage, FUNCTION and DATA can be specified, for STT_FUNC and STT_OBJECT, respectively. TYPE is mutually exclusive to ALIAS, and cannot be used in conjunction with it. SH_ATTR Specifies attributes of the section associated with the symbol. The section_attributes that can be specified are given in the following table: Section AttributeMeaning BITSSection is not of type SHT_NOBITS NOBITSSection is of type SHT_NOBITS SH_ATTR is mutually exclusive to ALIAS, and cannot be used in conjunction with it. SIZE Specifies the expected symbol size. SIZE is mutually exclusive to ALIAS, and cannot be used in conjunction with it. The syntax for the size_value argument is as described in the discussion of the SIZE attribute below. SIZE The SIZE symbol attribute existed before support for stub objects was introduced. It is used to set the size attribute of a given symbol. This attribute results in the creation of a symbol definition. Prior to the introduction of the ASSERT SIZE attribute, the value of a SIZE attribute was always numeric. While attempting to apply ASSERT SIZE to the objects in the Solaris ON consolidation, I found that many data symbols have a size based on the natural machine wordsize for the class of object being produced. Variables declared as long, or as a pointer, will be 4 bytes in size in a 32-bit object, and 8 bytes in a 64-bit object. Initially, I employed the conditional $if directive to handle these cases as follows: $if _ELF32 foo { ASSERT { TYPE=data; SIZE=4 } }; bar { ASSERT { TYPE=data; SIZE=20 } }; $elif _ELF64 foo { ASSERT { TYPE=data; SIZE=8 } }; bar { ASSERT { TYPE=data; SIZE=40 } }; $else $error UNKNOWN ELFCLASS $endif I found that the situation occurs frequently enough that this is cumbersome. To simplify this case, I introduced the idea of the addrsize symbolic name, and of a repeat count, which together make it simple to specify machine word scalar or array symbols. Both the SIZE, and ASSERT SIZE attributes support this syntax: The size_value argument can be a numeric value, or it can be the symbolic name addrsize. addrsize represents the size of a machine word capable of holding a memory address. The link-editor substitutes the value 4 for addrsize when building 32-bit objects, and the value 8 when building 64-bit objects. addrsize is useful for representing the size of pointer variables and C variables of type long, as it automatically adjusts for 32 and 64-bit objects without requiring the use of conditional input. The size_value argument can be optionally suffixed with a count value, enclosed in square brackets. If count is present, size_value and count are multiplied together to obtain the final size value. Using this feature, the example above can be written more naturally as: foo { ASSERT { TYPE=data; SIZE=addrsize } }; bar { ASSERT { TYPE=data; SIZE=addrsize[5] } }; Exported Global Data Is Still A Bad Idea As you can see, the additional plumbing added to the Solaris link-editor to support stub objects is minimal. Furthermore, about 90% of that plumbing is dedicated to handling global data. We have long advised against global data exported from shared objects. There are many ways in which global data does not fit well with dynamic linking. Stub objects simply provide one more reason to avoid this practice. It is always better to export all data via a functional interface. You should always hide your data, and make it available to your users via a function that they can call to acquire the address of the data item. However, If you do have to support global data for a stub, perhaps because you are working with an already existing object, it is still easilily done, as shown above. Oracle does not like us to discuss hypothetical new features that don't exist in shipping product, so I'll end this section with a speculation. It might be possible to do more in this area to ease the difficulty of dealing with objects that have global data that the users of the library don't need. Perhaps someday... Conclusions It is easy to create stub objects for most objects. If your library only exports function symbols, all you have to do to build a faithful stub object is to add STUB_OBJECT; and then to use the same link command you're currently using, with the addition of the -z stub option. Happy Stubbing!

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