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• Find Rules and Defaults using the PowerShell for SQL Server 2008 Provider

  - by BuckWoody

  I ran into an issue the other day where I couldn't set up some features in SQL Server 2008 because they ddon't support the use of Rules or Defaults. Let me explain a little more about that. In older versions of SQL Server, you could decalre a "Rule" or "Default" just like you do with a Table Constraint today. You would then "bind" these rules or defaults to the tables you wanted them to apply to. Sure, there are advantages and disadvantages to this approach, but it certainly isn't standard Data Definition Language (DDL), so they are deprecated and many features don't work with them any more. Honestly, it's been so long since I've seen them in use I had forgotten to even check for them. My suspicion is that this was a new database created with an older script. Nevertheless, the feature failed when it ran into one. Immediately I thought that I had better build some logic into my process to try and catch those - but how? Lots of choices here, but since I was using PowerShell to do the rest of the work, I thought I would investigate how easy it would be just to do it there. And using the SQL Server 2008 provider, this could not be simpler. I won't show all of the scrupt here, because I was testing for these as a condition and then bailing out of the script and sending a notification, but all it is using is the DIR command! Here's an example on my "UNIVAC" computer for the "pubs" database: Find Rules using PowerShell: dir SQLSERVER:\SQL\UNIVAC\DEFAULT\Databases\pubs\Rulesdir SQLSERVER:\SQL\UNIVAC\DEFAULT\Databases\pubs\Defaults And this one will look in all databases:  #All Databases:dir SQLSERVER:\SQL\UNIVAC\DEFAULT\Databases | select-object -property Name, Rules, Defaults Awesome. Love me some PowerShell. Script Disclaimer, for people who need to be told this sort of thing: Never trust any script, including those that you find here, until you understand exactly what it does and how it will act on your systems. Always check the script on a test system or Virtual Machine, not a production system. Yes, there are always multiple ways to do things, and this script may not work in every situation, for everything. It’s just a script, people. All scripts on this site are performed by a professional stunt driver on a closed course. Your mileage may vary. Void where prohibited. Offer good for a limited time only. Keep out of reach of small children. Do not operate heavy machinery while using this script. If you experience blurry vision, indigestion or diarrhea during the operation of this script, see a physician immediately.       Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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• Customers Discuss: Real-World Operational Reporting with Oracle GoldenGate

  - by Irem Radzik

  Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} As businesses leverage business intelligence and analytics for day-to-day decision making, operational reporting solutions become more and more common. While some companies can use their production OLTP system for running operational reports, for many it is too much overhead and performance impact for transaction processing systems.  Oracle GoldenGate’s real-time data integration capabilities enable companies to create a real-time replica of their OLTP systems, dedicated for operational reporting. This instance can be optimized for the reports needed as well such as containing only the tables needed from the source. Oracle GoldenGate has certified solutions for many Oracle applications such as EBusiness Suite, Peoplesoft, JD Edwards, to offload operational reporting to another reporting server that has real-time data feeding from the production system. At Oracle OpenWorld we will be hearing from a panel of Oracle GoldenGate customers how they deployed GoldenGate for operational reporting. Comcast, Turk Telekom, and Raymond James will be sharing their experiences and the benefits achieved when implementing GoldenGate’s solution. If you have performance degradation in your production systems due to reporting or ad-hoc queries, and you will be at OpenWorld, don’t miss this informative session: Real-World Operational Reporting with Oracle GoldenGate: Customer Panel-- Tuesday Oct 2nd 11:45am Mascone West 3005. For other data integration sessions at OpenWorld, please check our Focus-On document.  Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} If you cannot attend OpenWorld, please check out related white paper “Using Oracle GoldenGate to Achieve Operational Reporting for Oracle Applications” to learn more.

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• Oracle Solaris Crash Analysis Tool 5.3 now available

  - by user12609056

  Oracle Solaris Crash Analysis Tool 5.3 The Oracle Solaris Crash Analysis Tool Team is happy to announce the availability of release 5.3.  This release addresses bugs discovered since the release of 5.2 plus enhancements to support Oracle Solaris 11 and updates to Oracle Solaris versions 7 through 10. The packages are available on My Oracle Support - simply search for Patch 13365310 to find the downloadable packages. Release Notes General blast support The blast GUI has been removed and is no longer supported. Oracle Solaris 2.6 Support As of Oracle Solaris Crash Analysis Tool 5.3, support for Oracle Solaris 2.6 has been dropped. If you have systems running Solaris 2.6, you will need to use Oracle Solaris Crash Analysis Tool 5.2 or earlier to read its crash dumps. New Commands Sanity Command Though one can re-run the sanity checks that are run at tool start-up using the coreinfo command, many users were unaware that they were. Though these checks can still be run using that command, a new command, namely sanity, can now be used to re-run the checks at any time. Interface Changes scat_explore -r and -t option The -r option has ben added to scat_explore so that a base directory can be specified and the -t op[tion was added to enable color taggging of the output. The scat_explore sub-command now accepts new options. Usage is: scat --scat_explore [-atv] [-r base_dir] [-d dest] [unix.N] [vmcore.]N Where: -v Verbose Mode: The command will print messages highlighting what it's doing. -a Auto Mode: The command does not prompt for input from the user as it runs. -d dest Instructs scat_explore to save it's output in the directory dest instead of the present working directory. -r base_dir Instructs scat_explore to save it's under the directory base_dir instead of the present working directory. If it is not specified using the -d option, scat_explore names it's output file as "scat_explore_system_name_hostid_lbolt_value_corefile_name." -t Enable color tags. When enabled, scat_explore tags important text with colors that match the level of importance. These colors correspond to the color normally printed when running Oracle Solaris Crash Analysis Tool in interactive mode. Tag Name Definition FATAL An extremely important message which should be investigated. WARNING A warning that may or may not have anything to do with the crash. ERROR An error, usually printer with a suggested command ALERT Used to indicate something the tool discovered. INFO Purely informational message INFO2 A follow-up to an INFO tagged message REDZONE Usually used when prnting memory info showing something is in the kernel's REDZONE. N The number of the crash dump. Specifying unix.N vmcore.N is optional and not required. Example: $ scat --scat_explore -a -v -r /tmp vmcore.0 #Output directory: /tmp/scat_explore_oomph_833a2959_0x28800_vmcore.0 #Tar filename: scat_explore_oomph_833a2959_0x28800_vmcore.0.tar #Extracting crash data... #Gathering standard crash data collections... #Panic string indicates a possible hang... #Gathering Hang Related data... #Creating tar file... #Compressing tar file... #Successful extraction SCAT_EXPLORE_DATA_DIR=/tmp/scat_explore_oomph_833a2959_0x28800_vmcore.0 Sending scat_explore results The .tar.gz file that results from a scat_explore run may be sent using Oracle Secure File Transfer. The Oracle Secure File Transfer User Guide describes how to use it to send a file. The send_scat_explore script now has a -t option for specifying a to address for sending the results. This option is mandatory. Known Issues There are a couple known issues that we are addressing in release 5.4, which you should expect to see soon: Display of timestamps in threads and clock information is incorrect in some cases. There are alignment issues with some of the tables produced by the tool.

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• Crime Scene Investigation: SQL Server

  - by Rodney Landrum

  “The packages are running slower in Prod than they are in Dev” My week began with this simple declaration from one of our lead BI developers, quickly followed by an emailed spreadsheet demonstrating that, over 5 executions, an extensive ETL process was running average 630 seconds faster on Dev than on Prod. The situation needed some scientific investigation to determine why the same code, the same data, the same schema would yield consistently slower results on a more powerful server. Prod had yet to be officially christened with a “Go Live” date so I had the time, and having recently been binge watching CSI: New York, I also had the inclination. An inspection of the two systems, Prod and Dev, revealed the first surprise: although Prod was indeed a “bigger” system, with double the amount of RAM of Dev, the latter actually had twice as many processor cores. On neither system did I see much sign of resources being heavily taxed, while the ETL process was running. Without any real supporting evidence, I jumped to a conclusion that my years of performance tuning should have helped me avoid, and that was that the hardware differences explained the better performance on Dev. We spent time setting up a Test system, similarly scoped to Prod except with 4 times the cores, and ported everything across. The results of our careful benchmarks left us truly bemused; the ETL process on the new server was slower than on both other systems. We burned more time tweaking server configurations, monitoring IO and network latency, several times believing we’d uncovered the smoking gun, until the results of subsequent test runs pitched us back into confusion. Finally, I decided, enough was enough. Hadn’t I learned very early in my DBA career that almost all bottlenecks were caused by code and database design, not hardware? It was time to get back to basics. With over 100 SSIS packages and hundreds of queries, each handling specific tasks such as file loads, bulk inserts, transforms, logging, and so on, the task seemed formidable. And yet, after barely an hour spent with Profiler, Extended Events, and wait statistics DMVs, I had a lead in the shape of a query that joined three tables, containing millions of rows, returned 3279 results, but performed 239K logical reads. As soon as I looked at the execution plans for the query in Dev and Test I saw the culprit, an implicit conversion warning on a join predicate field that was numeric in one table and a varchar(50) in another! I turned this information over to the BI developers who quickly resolved the data type mismatches and found and fixed “several” others as well. After the schema changes the same query with the same databases ran in under 1 second on all systems and reduced the logical reads down to fewer than 300. The analysis also revealed that on Dev, the ETL task was pulling data across a LAN, whereas Prod and Test were connected across slower WAN, in large part explaining why the same process ran slower on the latter two systems. Loading the data locally on Prod delivered a further 20% gain in performance. As we progress through our DBA careers we learn valuable lessons. Sometimes, with a project deadline looming and pressure mounting, we choose to forget them. I was close to giving into the temptation to throw more hardware at the problem. I’m pleased at least that I resisted, though I still kick myself for not looking at the code on day one. It can seem a daunting prospect to return to the fundamentals of the code so close to roll out, but with the right tools, and surprisingly little time, you can collect the evidence that reveals the true problem. It is a lesson I trust I will remember for my next 20 years as a DBA, if I’m ever again tempted to bypass the evidence.

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• New spreadsheet accompanying SmartAssembly 6.0 provides statistics for prioritizing bug fixes

  - by Jason Crease

  One problem developers face is how to prioritize the many voices providing input into software bugs. If there is something wrong with a function that is the darling of a particular user, he or she tends to want action - now! The developer's dilemma is how to ascertain that the problem is major or minor, and when it should be addressed. Now there is a new spreadsheet accompanying SmartAssembly that provides exactly that information in an objective manner. This might upset those used to getting their way by being the loudest or pushiest, but ultimately it will ensure that the biggest problems get the priority they deserve. Here's how it works: Feature Usage Reporting (FUR) in SmartAssembly 6.0 provides a wealth of data about how your software is used by its end-users, but in the SmartAssembly UI the data isn't mined to its full extent. The new Excel spreadsheet for FUR extracts statistics from that data and presents them in easy-to-understand forms. I developed the spreadsheet feature in Microsoft Excel, using a fair amount of VBA. The spreadsheet connects directly to the database which stores the feature-usage data, and shows a wide variety of statistics and tables extracted from that data.  You want to know what percentage of users have used the 'Export as XML' button?  No problem.  How popular is v5.3 is compared to v5.1?  There's graphs for that. You need to know whether you have more users in Russia or Brazil? There's a big pie chart for that. I recently witnessed the spreadsheet in use here at Red Gate Software. My bug is exposed as minor While testing new features in .NET Reflector, I found a usability bug in the Refresh button and filed it in the Red Gate bug-tracking system. The bug was labelled "V.NEXT MINOR," which means it would be fixed in the next point release. Although I'm a professional tester, I'm not much different than most software users when they discover a bug that affects them personally: I wanted it fixed immediately. There was an ulterior motive at play here, of course. I would get to see my colleagues put the spreadsheet to work. The Reflector team loaded up the spreadsheet to view the feature-usage statistics that SmartAssembly collected for the refresh button. The resulting statistics showed that only 8% of users have ever pressed the Refresh button, and only 2.6% of sessions involve pressing the button. When Refresh is used, it's only pressed on average 1.6 times a session, with a maximum of 8 times during a session. This was in stark contrast to what I was doing as a conscientious tester: pressing it dozens of times per session. The spreadsheet provides evidence that my bug was a minor one. On to more serious things Based on the solid evidence uncovered by the spreadsheet, the Reflector team concluded that my experience does not represent that of the vast majority of Reflector's recorded users. The Reflector team had ample data to send me back to my desk and keep the bug classified as "V.NEXT MINOR." The team then went back to fixing more serious bugs. If I'm in the shoes of the user, I might not be thoroughly happy, but I cannot deny that the evidence clearly placed me in a very small minority. Next time I'm hoping the spreadsheet will prove that my bug is more important. Find out more about Feature-Usage Reporting here. The spreadsheet is available for free download here.

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• Backup SQL Database Federation

  - by Herve Roggero

  One of the amazing features of Windows Azure SQL Database is the ability to create federations in order to scale your cloud databases. However until now, there were very few options available to backup federated databases. In this post I will show you how Enzo Cloud Backup can help you backup, and restore your federated database easily. You can restore federated databases in SQL Database, or even on SQL Server (as regular databases). Generally speaking, you will need to perform the following steps to backup and restore the federations of a SQL Database: Backup the federation root Backup the federation members Restore the federation root Restore the federation members These actions can be automated using: the built-in scheduler of Enzo Cloud Backup, the command-line utilities, or the .NET Cloud Backup API provided, giving you complete control on how you want to perform your backup and restore operations. Backing up federations Let’s look at the tool to backup federations. You can explore your existing federations by using the Enzo Cloud Backup application as shown below. As you can see, the federation root and the various federations available are shown in separate tabs for convenience. You would first need to backup the federation root (unless you intend to restore the federation member on a local SQL Server database and you don’t need what’s in the federation root). The steps are similar than those to backup a federation member, so let’s proceed to backing up a federation member. You can click on a specific federation member to view the database details by clicking at the tab that contains your federation member. You can see the size currently consumed and a summary of its content at the bottom of the screen. If you right-click on a specific range, you can choose to backup the federation member. This brings up a window with the details of the federation member already filled out for you, including the value of the member that is used to select the federation member. Notice that the list of Federations includes “Federation Root”, which is what you need to select to backup the federation root (you can also do that directly from the root database tab).  Once you provide at least one backup destination, you can begin the backup operation.  From this window, you can also schedule this operation as a job and perform this operation entirely in the cloud. You can also “filter” the connection, so that only the specific member value is backed up (this will backup all the global tables, and only the records for which the distribution value is the one specified). You can repeat this operation for every federation member in your federation. Restoring Federations Once backed up, you can restore your federations easily. Select the backup device using the tool, then select Restore. The following window will appear. From here you can create a new root database. You can also view the backup properties, showing you exactly which federations will be created. Under the Federations tab, you can select how the federations will be created. I chose to recreate the federations and let the tool perform all the SPLIT operations necessary to recreate the same number of federation members. Other options include to create the first federation member only, or not to create the federation members at all. Once the root database has been restored and the federation members have been created, you can restore the federation members you previously backed up. The screen below shows you how to restore a backup of a federation member into a specific federation member (the details of the federation member are provided to make it easier to identify). Conclusion This post gave you an overview on how to backup and restore federation roots and federation members. The backup operations can be setup once, then scheduled daily.

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• Oracle GoldenGate Active-Active Part 1

  - by Nick_W

  My name is Nick Wagner, and I'm a recent addition to the Oracle Maximum Availability Architecture (MAA) product management team.  I've spent the last 15+ years working on database replication products, and I've spent the last 10 years working on the Oracle GoldenGate product.  So most of my posting will probably be focused on OGG.  One question that comes up all the time is around active-active replication with Oracle GoldenGate.  How do I know if my application is a good fit for active-active replication with GoldenGate?   To answer that, it really comes down to how you plan on handling conflict resolution.  I will delve into topology and deployment in a later blog, but here is a simple architecture: The two most common resolution routines are host based resolution and timestamp based resolution. Host based resolution is used less often, but works with the fewest application changes.  Think of it like this: any transactions from SystemA always take precedence over any transactions from SystemB.  If there is a conflict on SystemB, then the record from SystemA will overwrite it.  If there is a conflict on SystemA, then it will be ignored.  It is quite a bit less restrictive, and in most cases, as long as all the tables have primary keys, host based resolution will work just fine.  Timestamp based resolution, on the other hand, is a little trickier. In this case, you can decide which record is overwritten based on timestamps. For example, does the older record get overwritten with the newer record?  Or vice-versa?  This method not only requires primary keys on every table, but it also requires every table to have a timestamp/date column that is updated each time a record is inserted or updated on the table.  Most homegrown applications can always be customized to include these requirements, but it's a little more difficult with 3rd party applications, and might even be impossible for large ERP type applications.  If your database has these features - whether it’s primary keys for host based resolution, or primary keys and timestamp columns for timestamp based resolution - then your application could be a great candidate for active-active replication.  But table structure is not the only requirement.  The other consideration applies when there is a conflict; i.e., do I need to perform any notification or track down the user that had their data overwritten?  In most cases, I don't think it's necessary, but if it is required, OGG can always create an exceptions table that contains all of the overwritten transactions so that people can be notified. It's a bit of extra work to implement this type of option, but if the business requires it, then it can be done. Unless someone is constantly monitoring this exception table or has an automated process in dealing with exceptions, there will be a delay in getting a response back to the end user. Ideally, when setting up active-active resolution we can include some simple procedural steps or configuration options that can reduce, or in some cases eliminate the potential for conflicts.  This makes the whole implementation that much easier and foolproof.  And I'll cover these in my next blog. 

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• PASS summit 2013. We do not remember days. We remember moments.

  - by Maria Zakourdaev

    "Business or pleasure?" barked the security officer in the Charlotte International Airport. "I’m not sure, sir," I whimpered, immediately losing all courage. "I'm here for the database technologies summit called PASS”. "Sounds boring. Definitely a business trip." Boring?! He couldn’t have been more wrong. If he only knew about the countless meetings throughout the year where I waved my hands at my great boss and explained again and again how fantastic this summit is and how much I learned last year. One by one, the drops of water began eating away at the stone. He finally approved of my trip just to stop me from torturing him. Time moves as slow as a turtle when you are waiting for something. Time runs as fast as a cheetah when you are there. PASS has come...and passed. It’s been an amazing week. Enormous sqlenergy has filled the city, filled the convention center and the surrounding pubs and restaurants. There were awesome speakers, great content, and the chance to meet most inspiring database professionals from all over the world. Some sessions were unforgettable. Imagine a fully packed room with more than 500 people in awed silence, catching each and every one of Paul Randall's words. His tremendous energy and deep knowledge were truly thrilling. No words can describe Rob Farley's unique presentation style, captivating and engaging the audience. When the precious session minutes were over, I could tell that the many random puzzle pieces of information that his listeners knew had been suddenly combined into a clear, cohesive picture. I was amazed as always by Paul White's great sense of humor and his phenomenal ability to explain complicated concepts in a simple way. The keynote by the brilliant Dr. DeWitt from Microsoft in front of the full summit audience of 5000 deeply listening people was genuinely breathtaking. The entire conference throughout offered excellent speakers who inspired me to absorb the knowledge and use it when I got home. To my great surprise, I found that there are other people in this world who like replication as much I do. During the Birds of a Feather Luncheon, SQL Server MVP Ted Krueger was writing a script for replicating the food to other tables. I learned many things at PASS, and not all of them were about SQL. After three summits, this time I finally got the knack of networking. I actually went up and spoke to people, and believe me, that was not easy for an introvert. But this is what the summit is all about. Sqlpeople. They are the ones who make it such an exciting experience. I will be looking forward to the next year. Till then I have my notes and new ideas. How long was the summit? Thousands of unforgettable moments.

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• Why do I need two Instances in Windows Azure?

  - by BuckWoody

  Windows Azure as a Platform as a Service (PaaS) means that there are various components you can use in it to solve a problem: Compute “Roles” - Computers running an OS and optionally IIS - you can have more than one "Instance" of a given Role Storage - Blobs, Tables and Queues for Storage Other Services - Things like the Service Bus, Azure Connection Services, SQL Azure and Caching It’s important to understand that some of these services are Stateless and others maintain State. Stateless means (at least in this case) that a system might disappear from one physical location and appear elsewhere. You can think of this as a cashier at the front of a store. If you’re in line, a cashier might take his break, and another person might replace him. As long as the order proceeds, you as the customer aren’t really affected except for the few seconds it takes to change them out. The cashier function in this example is stateless. The Compute Role Instances in Windows Azure are Stateless. To upgrade hardware, because of a fault or many other reasons, a Compute Role's Instance might stop on one physical server, and another will pick it up. This is done through the controlling fabric that Windows Azure uses to manage the systems. It’s important to note that storage in Azure does maintain State. Your data will not simply disappear - it is maintained - in fact, it’s maintained three times in a single datacenter and all those copies are replicated to another for safety. Going back to our example, storage is similar to the cash register itself. Even though a cashier leaves, the record of your payment is maintained. So if a Compute Role Instance can disappear and re-appear, the things running on that first Instance would stop working. If you wrote your code in a Stateless way, then another Role Instance simply re-starts that transaction and keeps working, just like the other cashier in the example. But if you only have one Instance of a Role, then when the Role Instance is re-started, or when you need to upgrade your own code, you can face downtime, since there’s only one. That means you should deploy at least two of each Role Instance not only for scale to handle load, but so that the first “cashier” has someone to replace them when they disappear. It’s not just a good idea - to gain the Service Level Agreement (SLA) for our uptime in Azure it’s a requirement. We point this out right in the Management Portal when you deploy the application: (Click to enlarge) When you deploy a Role Instance you can also set the “Upgrade Domain”. Placing Roles on separate Upgrade Domains means that you have a continuous service whenever you upgrade (more on upgrades in another post) - the process looks like this for two Roles. This example covers the scenario for upgrade, so you have four roles total - One Web and one Worker running the "older" code, and one of each running the new code. In all those Roles you want at least two instances, and this example shows that you're covered for High Availability and upgrade paths: The take-away is this - always plan for forward-facing Roles to have at least two copies. For Worker Roles that do background processing, there are ways to architect around this number, but it does affect the SLA if you have only one.

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• SQL Server Optimizer Malfunction?

  - by Tony Davis

  There was a sharp intake of breath from the audience when Adam Machanic declared the SQL Server optimizer to be essentially "stuck in 1997". It was during his fascinating "Query Tuning Mastery: Manhandling Parallelism" session at the recent PASS SQL Summit. Paraphrasing somewhat, Adam (blog | @AdamMachanic) offered a convincing argument that the optimizer often delivers flawed plans based on assumptions that are no longer valid with today’s hardware. In 1997, when Microsoft engineers re-designed the database engine for SQL Server 7.0, SQL Server got its initial implementation of a cost-based optimizer. Up to SQL Server 2000, the developer often had to deploy a steady stream of hints in SQL statements to combat the occasionally wilful plan choices made by the optimizer. However, with each successive release, the optimizer has evolved and improved in its decision-making. It is still prone to the occasional stumble when we tackle difficult problems, join large numbers of tables, perform complex aggregations, and so on, but for most of us, most of the time, the optimizer purrs along efficiently in the background. Adam, however, challenged further any assumption that the current optimizer is competent at providing the most efficient plans for our more complex analytical queries, and in particular of offering up correctly parallelized plans. He painted a picture of a present where complex analytical queries have become ever more prevalent; where disk IO is ever faster so that reads from disk come into buffer cache faster than ever; where the improving RAM-to-data ratio means that we have a better chance of finding our data in cache. Most importantly, we have more CPUs at our disposal than ever before. To get these queries to perform, we not only need to have the right indexes, but also to be able to split the data up into subsets and spread its processing evenly across all these available CPUs. Improvements such as support for ColumnStore indexes are taking things in the right direction, but, unfortunately, deficiencies in the current Optimizer mean that SQL Server is yet to be able to exploit properly all those extra CPUs. Adam’s contention was that the current optimizer uses essentially the same costing model for many of its core operations as it did back in the days of SQL Server 7, based on assumptions that are no longer valid. One example he gave was a "slow disk" bias that may have been valid back in 1997 but certainly is not on modern disk systems. Essentially, the optimizer assesses the relative cost of serial versus parallel plans based on the assumption that there is no IO cost benefit from parallelization, only CPU. It assumes that a single request will saturate the IO channel, and so a query would not run any faster if we parallelized IO because the disk system simply wouldn’t be able to handle the extra pressure. As such, the optimizer often decides that a serial plan is lower cost, often in cases where a parallel plan would improve performance dramatically. It was challenging and thought provoking stuff, as were his techniques for driving parallelism through query logic based on subsets of rows that define the "grain" of the query. I highly recommend you catch the session if you missed it. I’m interested to hear though, when and how often people feel the force of the optimizer’s shortcomings. Barring mistakes, such as stale statistics, how often do you feel the Optimizer fails to find the plan you think it should, and what are the most common causes? Is it fighting to induce it toward parallelism? Combating unexpected plans, arising from table partitioning? Something altogether more prosaic? Cheers, Tony.

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• The Best Data Integration for Exadata Comes from Oracle

  - by maria costanzo

  Oracle Data Integrator and Oracle GoldenGate offer unique and optimized data integration solutions for Oracle Exadata. For example, customers that choose to feed their data warehouse or reporting database with near real-time throughout the day, can do so without decreasing  performance or availability of source and target systems. And if you ask why real-time, the short answer is: in today’s fast-paced, always-on world, business decisions need to use more relevant, timely data to be able to act fast and seize opportunities. A longer response to "why real-time" question can be found in a related blog post. If we look at the solution architecture, as shown on the diagram below,  Oracle Data Integrator and Oracle GoldenGate are both uniquely designed to take full advantage of the power of the database and to eliminate unnecessary middle-tier components. Oracle Data Integrator (ODI) is the best bulk data loading solution for Exadata. ODI is the only ETL platform that can leverage the full power of Exadata, integrate directly on the Exadata machine without any additional hardware, and by far provides the simplest setup and fastest overall performance on an Exadata system. We regularly see customers achieving a 5-10 times boost when they move their ETL to ODI on Exadata. For  some companies the performance gain is even much higher. For example a large insurance company did a proof of concept comparing ODI vs a traditional ETL tool (one of the market leaders) on Exadata. The same process that was taking 5hrs and 11 minutes to complete using the competing ETL product took 7 minutes and 20 seconds with ODI. Oracle Data Integrator was 42 times faster than the conventional ETL when running on Exadata.This shows that Oracle's own data integration offering helps you to gain the most out of your Exadata investment with a truly optimized solution. GoldenGate is the best solution for streaming data from heterogeneous sources into Exadata in real time. Oracle GoldenGate can also be used together with Data Integrator for hybrid use cases that also demand non-invasive capture, high-speed real time replication. Oracle GoldenGate enables real-time data feeds from heterogeneous sources non-invasively, and delivers to the staging area on the target Exadata system. ODI runs directly on Exadata to use the database engine power to perform in-database transformations. Enterprise Data Quality is integrated with Oracle Data integrator and enables ODI to load trusted data into the data warehouse tables. Only Oracle can offer all these technical benefits wrapped into a single intelligence data warehouse solution that runs on Exadata. Compared to traditional ETL with add-on CDC this solution offers: §  Non-invasive data capture from heterogeneous sources and avoids any performance impact on source §  No mid-tier; set based transformations use database power §  Mini-batches throughout the day –or- bulk processing nightly which means maximum availability for the DW §  Integrated solution with Enterprise Data Quality enables leveraging trusted data in the data warehouse In addition to Starwood Hotels and Resorts, Morrison Supermarkets, United Kingdom’s fourth-largest food retailer, has seen the power of this solution for their new BI platform and shared their story with us. Morrisons needed to analyze data across a large number of manufacturing, warehousing, retail, and financial applications with the goal to achieve single view into operations for improved customer service. The retailer deployed Oracle GoldenGate and Oracle Data Integrator to bring new data into Oracle Exadata in near real-time and replicate the data into reporting structures within the data warehouse—extending visibility into operations. Using Oracle's data integration offering for Exadata, Morrisons produced financial reports in seconds, rather than minutes, and improved staff productivity and agility. You can read more about Morrison’s success story here and hear from Starwood here. From an Irem Radzik article.

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• Part 6: Extensions vs. Modifications

  - by volker.eckardt(at)oracle.com

  Customizations = Extensions + Modifications In the EBS terminology, a customization can be an extension or a modification. Extension means that you mainly create your own code from scratch. You may utilize existing views, packages and java classes, but your code is unique. Modifications are quite different, because here you take existing code and change or enhance certain areas to achieve a slightly different behavior. Important is that it doesn't matter if you place your code at the same or at another place – it is a modification. It is also not relevant if you leave the original code enabled or not! Why? Here is the answer: In case the original code piece you have taken as your base will get patched, you need to copy the source again and apply all your changes once more. If you don't do that, you may get different results or write different data compared to the standard – this causes a high risk! Here are some guidelines how to reduce the risk: Invest a bit longer when searching for objects to select data from. Rather choose a view than a table. In case Oracle development changes the underlying tables, the view will be more stable and is therefore a better choice. Choose rather public APIs over internal APIs. Same background as before: although internal structure might change, the public API is more stable. Use personalization and substitution rather than modification. Spend more time to check if the requirement can be covered with such techniques. Build a project code library, avoid that colleagues creating similar functionality multiple times. Otherwise you have to review lots of similar code to determine the need for correction. Use the technique of “flagged files”. Flagged files is a way to mark a standard deployment file. If you run the patch analyse (within Application Manager), the analyse result will list flagged standard files in case they will be patched. If you maintain a cross reference to your own CEMLIs, you can easily determine which CEMLIs have to be reviewed. Implement a code review process. This can be done by utilizing team internal or external persons. If you implement such a team internal process, your team members will come up with suggestions how to improve the code quality by themselves. Review heavy customizations regularly, to identify options to reduce complexity; let's say perform this every 6th month. You may not spend days for such a review, but a high level cross check if the customization can be reduced is suggested. De-install customizations which are no more required. Define a process for this. Add a section into the technical documentation how to uninstall and what are possible implications. Maintain a cross reference between CEMLIs and between CEMLIs, EBS modules and business processes. Keep this list up to date! Share this list! By following these guidelines, you are able to improve product stability. Although we might not be able to avoid modifications completely, we can give a much better advise to developers and to our test team. Summary: Extensions and Modifications have to be handled differently during their lifecycle. Modifications implicate a much higher risk and should therefore be reviewed more frequently. Good cross references allow you to give clear advise for the testing activities.

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• Where should you put constants and why?

  - by Tim Meyer

  In our mostly large applications, we usually have a only few locations for constants: One class for GUI and internal contstants (Tab Page titles, Group Box titles, calculation factors, enumerations) One class for database tables and columns (this part is generated code) plus readable names for them (manually assigned) One class for application messages (logging, message boxes etc) The constants are usually separated into different structs in those classes. In our C++ applications, the constants are only defined in the .h file and the values are assigned in the .cpp file. One of the advantages is that all strings etc are in one central place and everybody knows where to find them when something must be changed. This is especially something project managers seem to like as people come and go and this way everybody can change such trivial things without having to dig into the application's structure. Also, you can easily change the title of similar Group Boxes / Tab Pages etc at once. Another aspect is that you can just print that class and give it to a non-programmer who can check if the captions are intuitive, and if messages to the user are too detailed or too confusing etc. However, I see certain disadvantages: Every single class is tightly coupled to the constants classes Adding/Removing/Renaming/Moving a constant requires recompilation of at least 90% of the application (Note: Changing the value doesn't, at least for C++). In one of our C++ projects with 1500 classes, this means around 7 minutes of compilation time (using precompiled headers; without them it's around 50 minutes) plus around 10 minutes of linking against certain static libraries. Building a speed optimized release through the Visual Studio Compiler takes up to 3 hours. I don't know if the huge amount of class relations is the source but it might as well be. You get driven into temporarily hard-coding strings straight into code because you want to test something very quickly and don't want to wait 15 minutes just for that test (and probably every subsequent one). Everybody knows what happens to the "I will fix that later"-thoughts. Reusing a class in another project isn't always that easy (mainly due to other tight couplings, but the constants handling doesn't make it easier.) Where would you store constants like that? Also what arguments would you bring in order to convince your project manager that there are better concepts which also comply with the advantages listed above? Feel free to give a C++-specific or independent answer. PS: I know this question is kind of subjective but I honestly don't know of any better place than this site for this kind of question. Update on this project I have news on the compile time thing: Following Caleb's and gbjbaanb's posts, I split my constants file into several other files when I had time. I also eventually split my project into several libraries which was now possible much easier. Compiling this in release mode showed that the auto-generated file which contains the database definitions (table, column names and more - more than 8000 symbols) and builds up certain hashes caused the huge compile times in release mode. Deactivating MSVC's optimizer for the library which contains the DB constants now allowed us to reduce the total compile time of your Project (several applications) in release mode from up to 8 hours to less than one hour! We have yet to find out why MSVC has such a hard time optimizing these files, but for now this change relieves a lot of pressure as we no longer have to rely on nightly builds only. That fact - and other benefits, such as less tight coupling, better reuseability etc - also showed that spending time splitting up the "constants" wasn't such a bad idea after all ;-)

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• When row estimation goes wrong

  - by Dave Ballantyne

  Whilst working at a client site, I hit upon one of those issues that you are not sure if that this is something entirely new or a bug or a gap in your knowledge. The client had a large query that needed optimizing.  The query itself looked pretty good, no udfs, UNION ALL were used rather than UNION, most of the predicates were sargable other than one or two minor ones.  There were a few extra joins that could be eradicated and having fixed up the query I then started to dive into the plan. I could see all manor of spills in the hash joins and the sort operations,  these are caused when SQL Server has not reserved enough memory and has to write to tempdb.  A VERY expensive operation that is generally avoidable.  These, however, are a symptom of a bad row estimation somewhere else, and when that bad estimation is combined with other estimation errors, chaos can ensue. Working my way back down the plan, I found the cause, and the more I thought about it the more i came convinced that the optimizer could be making a much more intelligent choice. First step is to reproduce and I was able to simplify the query down a single join between two tables, Product and ProductStatus,  from a business point of view, quite fundamental, find the status of particular products to show if ‘active’ ,’inactive’ or whatever. The query itself couldn’t be any simpler The estimated plan looked like this: Ignore the “!” warning which is a missing index, but notice that Products has 27,984 rows and the join outputs 14,000. The actual plan shows how bad that estimation of 14,000 is : So every row in Products has a corresponding row in ProductStatus.  This is unsurprising, in fact it is guaranteed,  there is a trusted FK relationship between the two columns.  There is no way that the actual output of the join can be different from the input. The optimizer is already partly aware of the foreign key meta data, and that can be seen in the simplifiction stage. If we drop the Description column from the query: the join to ProductStatus is optimized out. It serves no purpose to the query, there is no data required from the table and the optimizer knows that the FK will guarantee that a matching row will exist so it has been removed. Surely the same should be applied to the row estimations in the initial example, right ?  If you think so, please upvote this connect item. So what are our options in fixing this error ? Simply changing the join to a left join will cause the optimizer to think that we could allow the rows not to exist. or a subselect would also work However, this is a client site, Im not able to change each and every query where this join takes place but there is a more global switch that will fix this error,  TraceFlag 2301. This is described as, perhaps loosely, “Enable advanced decision support optimizations”. We can test this on the original query in isolation by using the “QueryTraceOn” option and lo and behold our estimated plan now has the ‘correct’ estimation. Many thanks goes to Paul White (b|t) for his help and keeping me sane through this

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• Fetching Partition Information

  - by Mike Femenella

  For a recent SSIS package at work I needed to determine the distinct values in a partition, the number of rows in each partition and the file group name on which each partition resided in order to come up with a grouping mechanism. Of course sys.partitions comes to mind for some of that but there are a few other tables you need to link to in order to grab the information required. The table I’m working on contains 8.8 billion rows. Finding the distinct partition keys from this table was not a fast operation. My original solution was to create  a temporary table, grab the distinct values for the partitioned column, then update via sys.partitions for the rows and the $partition function for the partitionid and finally look back to the sys.filegroups table for the filegroup names. It wasn’t pretty, it could take up to 15 minutes to return the results. The primary issue is pulling distinct values from the table. Queries for distinct against 8.8 billion rows don’t go quickly. A few beers into a conversation with a friend and we ended up talking about work which led to a conversation about the task described above. The solution was already built in SQL Server, just needed to pull it together. The first table I needed was sys.partition_range_values. This contains one row for each range boundary value for a partition function. In my case I have a partition function which uses dayid values. For example July 4th would be represented as an int, 20130704. This table lists out all of the dayid values which were defined in the function. This eliminated the need to query my source table for distinct dayid values, everything I needed was already built in here for me. The only caveat was that in my SSIS package I needed to create a bucket for any dayid values that were out of bounds for my function. For example if my function handled 20130501 through 20130704 and I had day values of 20130401 or 20130705 in my table, these would not be listed in sys.partition_range_values. I just created an “everything else” bucket in my ssis package just in case I had any dayid values unaccounted for. To get the number of rows for a partition is very easy. The sys.partitions table contains values for each partition. Easy enough to achieve by querying for the object_id and index value of 1 (the clustered index) The final piece of information was the filegroup name. There are 2 options available to get the filegroup name, sys.data_spaces or sys.filegroups. For my query I chose sys.filegroups but really it’s a matter of preference and data needs. In order to bridge between sys.partitions table and either sys.data_spaces or sys.filegroups you need to get the container_id. This can be done by joining sys.allocation_units.container_id to the sys.partitions.hobt_id. sys.allocation_units contains the field data_space_id which then lets you join in either sys.data_spaces or sys.file_groups. The end result is the query below, which typically executes for me in under 1 second. I’ve included the join to sys.filegroups and to sys.dataspaces, and I’ve  just commented out the join sys.filegroups. As I mentioned above, this shaves a good 10-15 minutes off of my original ssis package and is a really easy tweak to get a boost in my ETL time. Enjoy.

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• Olympics data available for all on Windows Azure SQL Database and Power View

  - by jamiet

  Are you looking around for some decent test data for your BI demos? Well, if so, Microsoft have provided some data about all medals won at the Olympics Games (1900 to 2008) at OlympicsData workbook - Excel, SSIS, Azure sample; it provides analysis over athletes, countries, medal type, sport, discipline and various other dimensions. The data has been provided in an Excel workbook along with instructions on how to load the data into a Windows Azure SQL Database using SQL Server Integration Services (SSIS). Frankly though, the rigmarole of standing up your own Windows Azure SQL Database ok, SQL Azure database, is both costly (SQL Azure isn’t free) and time consuming (the provided instructions aren’t exactly an idiot’s guide and getting SSIS to work properly with Excel isn’t a barrel of laughs either). To ease the pain for all you BI folks out there that simply want to party on the data I have loaded it all into the SQL Azure database that I use for hosting AdventureWorks on Azure. You can read more about AdventureWorks on Azure below however I’ll summarise here by saying it is a SQL Azure database provided for the use of the SQL Server community and which is supported by voluntary donations. To view the data the credentials you need are: Server mhknbn2kdz.database.windows.net  Database AdventureWorks2012 User sqlfamily Password sqlf@m1ly Type those into SSMS and away you go, the data is provided in four tables [olympics].[Sport], [olympics].[Discipline], [olympics].[Event] & [olympics].[Medalist]: I figured this would be a good candidate for a Power View report so I fired up Excel 2013 and built such a report to slice’n’dice through the data – here are some screenshots that should give you a flavour of what is available: A view of all the available data Where do all the gymastics medals go? Which countries do top ten all-time medal winners come from? You get the idea. There is masses of information here and if you have Excel 2013 handy Power View provides a quick and easy way of surfing through it. To save you the bother of setting up the Power View report yourself you can have the one that I took these screenshots from, it is available on my SkyDrive at OlympicsAnalysis.xlsx so just hit the link and download to play to your heart’s content. Party on, people! As I said above the data is hosted on a SQL Azure database that I use for hosting “AdventureWorks on Azure” which I first announced in March 2013 at AdventureWorks2012 now available for all on SQL Azure. I’ll repeat the pertinent parts of that blog post here: I am pleased to announce that as of today … [AdventureWorks2012] now resides on SQL Azure and is available for anyone, absolutely anyone, to connect to and use for their own means. This database is free for you to use but SQL Azure is of course not free so before I give you the credentials please lend me your ears eyes for a short while longer. AdventureWorks on Azure is being provided for the SQL Server community to use and so I am hoping that that same community will rally around to support this effort by making a voluntary donation to support the upkeep which, going on current pricing, is going to be $119.88 per year. If you would like to contribute to keep AdventureWorks on Azure up and running for that full year please donate via PayPal to [email protected] Any amount, no matter how small, will help. If those 50+ people that retweeted me beforehand all contributed $2 then that would just about be enough to keep this up for a year. If the community contributes more than we need then there are a number of additional things that could be done: Host additional databases (Northwind anyone??) Host in more datacentres (this first one is in Western Europe) Make a charitable donation That last one, a charitable donation, is something I would really like to do. The SQL Community have proved before that they can make a significant contribution to charitable orgnisations through purchasing the SQL Server MVP Deep Dives book and I harbour hopes that AdventureWorks on Azure can continue in that vein. So please, if you think AdventureWorks on Azure is something that is worth supporting please make a contribution. I’d like to emphasize that last point. If my hosting this Olympics data is useful to you please support this initiative by donating. Thanks in advance. @Jamiet

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• My architecture has a problem with views that required information from different objects. How can I solve this?

  - by Oscar

  I am building an architecture like this: These are my SW layers ______________ | | | Views | |______________| ______________ | | |Business Logic| |______________| ______________ | | | Repository | |______________| My views are going to generate my HTML to be sent to the user Business logic is where all the business logics are Repository is a layer to access the DB My idea is that the repository uses entities (that are basically the representation of the tables, in order to perform DB queries. The layers communicate between themselves using Business Objects, that are objects that represent the real-world-object itself. They can contain business rules and methods. The views build/use DTOs, they are basically objects that have the information required to be shown on the screen. They expect also this kind of object on actions and, before calling the business logic, they create BO. First question: what is your overall feeling about this architecture? I've used similar architecture for some projects and I always got this problem: If my view has this list to show : Student1, age, course, Date Enrolled, Already paid? It has information from different BO. How do you think one should build the structure? These were the alternatives I could think of: The view layer could call the methods to get the student, then the course it studies, then the payment information. This would cause a lot of DB accesses and my view would have the knowledge about how to act to generate this information. This just seems wrong for me. I could have an "adapter object", that has the required information (a class that would have a properties Student, Course and Payment). But I would required one adapter object for each similar case, this may get very bad for big projects. I still don't like them. Would you have ideas? How would you change the architecture to avoid this kind of problems? @Rory: I read the CQRS and I don't think this suits my needs. As taken from a link references in your link Before describing the details of CQRS we need to understand the two main driving forces behind it: collaboration and staleness That means: many different actors using the same object (collaboration) and once data has been shown to a user, that same data may have been changed by another actor – it is stale (staleness). My problem is that I want to show to the user information from different BO, so I would need to receive them from the service layer. How can my service layer assemble and deliver this information? Edit to @AndrewM: Yes, you understood it correctly, the original idea was to have the view layer to build the BOs, but you have a very nice point about the creation of the BO inside the business layers. Assuming I follow your advice and move the creation logic inside the business layer, my business layer interface would contain the DTOs, for instance public void foo(MyDTO object) But as far as I understand, the DTO is tightly coupled to each view, so it would not be reusable by a second view. In order to use it, the second view would need to build a specific DTO from a specific view or I would have to duplicate the code in the business layer. Is this correct or am I missing something?

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• SharePoint Content and Site Editing Tips

  - by Bil Simser

  A few content management and site editing tips for power users on this bacon flavoured unicorn morning. The theme here is keep it clean!Write "friendly" email addressesRemember it's human beings reading your content. So seeing something like "If you have questions please send an email to [email protected]" breaks up the readiblity. Instead just do the simple steps of writing the content in plain English and going back, highlighting the name and insert a link (note: you might have to prefix the link with mailto:[email protected]). It makes for a friendlier looking page and hides the ugliness that are sometimes in email addresses.Use friendly column and list namesThis is a big pet peeve of mine. When you first create a column or list with spaces the internal name is changed. The display name might be "My Amazing List of Animals with Large Testicles" but the internal (and link) name becomes "My_x00x20_Amazing_x00x20_List_x00x20_of_x00x20_Animals_x00x20_with_x00x20_Large_x00x20_Testicles". What's worse is if you create a publishing page named "This Website is Fueled By a Dolphin's Spleen". Not only is it incorrect grammar, but the apostrophe wreaks havoc on both the internal name for the list (with lots of crazy hex codes) as well as the hyperlink (where everything is uuencoded). Instead create the list with a distinct and compact name then go back and change it to whatever you want. The end result is a better formed name that you can both script and access in code easier.Keep your Views CleanWhen you add a column to a list or create a new list the default is to add it to the default view. Do everyone a favour and don't check this box! The default view of a list should be something similar to the Title field and nothing else. Keep it clean. If you want to set a defalt view that's different, go back and create one with all the fields and filtering and sorting columns you want and set it as default. It's a good idea to keep the original AllItems.aspx (note the lack of space in the filename!) easy and unfiltered. It's also a good idea to keep your column count down in views. Don't let every column be added by default and don't add every column just because you can. Create separate views for distinct responsibilities and try to keep the number of columns down to a single screen to prevent horizontal scrolling.Simple NavigationThe Quick Launch is a great tool for navigating around your site but don't use the default of adding all lists to it. Uncheck that box and keep navigation simple. Create custom groupings that make sense so if you don't have a site with "Documents and Lists" but "Reports and Notices" makes more sense then do it. Also hide internal lists from the Quick Launch. For example, if most users don't need to see all the lookup tables you might have on a site don't show them. You can use audience filtering on the Quick Launch if you want to hide admin items from non-admin users so consider that as an option.Enjoy!

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• MySQL for Excel new features (1.2.0): Save and restore Edit sessions

  - by Javier Rivera

  Today we are going to talk about another new feature included in the latest MySQL for Excel release to date (1.2.0) which can be Installed directly from our MySQL Installer downloads page.Since the first release you were allowed to open a session to directly edit data from a MySQL table at Excel on a worksheet and see those changes reflected immediately on the database. You were also capable of opening multiple sessions to work with different tables at the same time (when they belong to the same schema). The problem was that if for any reason you were forced to close Excel or the Workbook you were working on, you had no way to save the state of those open sessions and to continue where you left off you needed to reopen them one by one. Well, that's no longer a problem since we are now introducing a new feature to save and restore active Edit sessions. All you need to do is in click the options button from the main MySQL for Excel panel:  And make sure the Edit Session Options (highlighted in yellow) are set correctly, specially that Restore saved Edit sessions is checked: Then just begin an Edit session like you would normally do, select the connection and schema on the main panel and then select table you want to edit data from and click over Edit MySQL Data. and just import the MySQL data into Excel:You can edit data like you always did with the previous version. To test the save and restore saved sessions functionality, first we need to save the workbook while at least one Edit session is opened and close the file.Then reopen the workbook. Depending on your version of Excel is where the next steps are going to differ:Excel 2013 extra step (first): In Excel 2013 you first need to open the workbook with saved edit sessions, then click the MySQL for Excel Icon on the the Data menu (notice how in this version, every time you open or create a new file the MySQL for Excel panel is closed in the new window). Please note that if you work on Excel 2013 with several workbooks with open edit sessions each at the same time, you'll need to repeat this step each time you open one of them: Following steps:  In Excel 2010 or previous, you just need to make sure the MySQL for Excel panel is already open at this point, if its not, please do the previous step specified above (Excel 2013 extra step). For Excel 2010 or older versions you will only need to do this previous step once.  When saved sessions are detected, you will be prompted what to do with those sessions, you can click Restore to continue working where you left off, click Discard to delete the saved sessions (All edit session information for this file will be deleted from your computer, so you will no longer be prompted the next time you open this same file) or click Nothing to continue without opening saved sessions (This will keep the saved edit sessions intact, to be prompted again about them the next time you open this workbook): And there you have it, now you will be able to save your Edit sessions, close your workbook or turn off your computer and you will still be able to reopen them in the future, to continue working right where you were. Today we talked about how you can save your active Edit sessions and restore them later, this is another feature included in the latest MySQL for Excel release (1.2.0). Please remember you can try this product and many others for free downloading the installer directly from our MySQL Installer downloads page.Happy editing !

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• Oracle Applications Cloud Release 8 Customization: Your User Interface, Your Text

  - by ultan o'broin

  Introducing the User Interface Text Editor In Oracle Applications Cloud Release 8, there’s an addition to the customization tool set, called the User Interface Text Editor  (UITE). When signed in with an application administrator role, users launch this new editing feature from the Navigator's Tools > Customization > User Interface Text menu option. See how the editor is in there with other customization tools? User Interface Text Editor is launched from the Navigator Customization menu Applications customers need a way to make changes to the text that appears in the UI, without having to initiate an IT project. Business users can now easily change labels on fields, for example. Using a composer and activated sandbox, these users can take advantage of the Oracle Metadata Services (MDS), add a key to a text resource bundle, and then type in their preferred label and its description (as a best practice for further work, I’d recommend always completing that description). Changing a simplified UI field label using Oracle Composer In Release 8, the UITE enables business users to easily change UI text on a much wider basis. As with composers, the UITE requires an activated sandbox where users can make their changes safely, before committing them for others to see. The UITE is used for editing UI text that comes from Oracle ADF resource bundles or from the Message Dictionary (or FND_MESSAGE_% tables, if you’re old enough to remember such things). Functionally, the Message Dictionary is used for the text that appears in business rule-type error, warning or information messages, or as a text source when ADF resource bundles cannot be used. In the UITE, these Message Dictionary texts are referred to as Multi-part Validation Messages.   If the text comes from ADF resource bundles, then it’s categorized as User Interface Text in the UITE. This category refers to the text that appears in embedded help in the UI or in simple error, warning, confirmation, or information messages. The embedded help types used in the application are explained in an Oracle Fusion Applications User Experience (UX) design pattern set. The message types have a UX design pattern set too. Using UITE  The UITE enables users to search and replace text in UI strings using case sensitive options, as well as by type. Users select singular and plural options for text changes, should they apply. Searching and replacing text in the UITE The UITE also provides users with a way to preview and manage changes on an exclusion basis, before committing to the final result. There might, for example, be situations where a phrase or word needs to remain different from how it’s generally used in the application, depending on the context. Previewing replacement text changes. Changes can be excluded where required. Multi-Part Messages The Message Dictionary table architecture has been inherited from Oracle E-Business Suite days. However, there are important differences in the Oracle Applications Cloud version, notably the additional message text components, as explained in the UX Design Patterns. Message Dictionary text has a broad range of uses as indicated, and it can also be reserved for internal application use, for use by PL/SQL and C programs, and so on. Message Dictionary text may even concatenate together at run time, where required. The UITE handles the flexibility of such text architecture by enabling users to drill down on each message and see how it’s constructed in total. That way, users can ensure that any text changes being made are consistent throughout the different message parts. Multi-part (Message Dictionary) message components in the UITE Message Dictionary messages may also use supportability-related numbers, the ones that appear appended to the message text in the application’s UI. However, should you have the requirement to remove these numbers from users' view, the UITE is not the tool for the job. Instead, see my blog about using the Manage Messages UI.

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• Cloud Adoption Challenges

  - by Herve Roggero

  Originally posted on: http://geekswithblogs.net/hroggero/archive/2013/11/07/cloud-adoption-challenges.aspxWhile cloud computing makes sense for most organizations and countless projects, I have seen customers significantly struggle with cloud adoption challenges. This blog post is not an attempt to provide a generic assessment of cloud adoption; rather it is an account of personal experiences in the field, some of which may or may not apply to your organization. Cloud First, Burst? In the rush to cloud adoption some companies have made the decision to redesign their core system with a cloud first approach. However a cloud first approach means that the system may not work anymore on-premises after it has been redesigned, specifically if the system depends on Platform as a Service (PaaS) components (such as Azure Tables). While PaaS makes sense when your company is in a position to adopt the cloud exclusively, it can be difficult to leverage with systems that need to work in different clouds or on-premises. As a result, some companies are starting to rethink their cloud strategy by designing for on-premises first, and modify only the necessary components to burst when needed in the cloud. This generally means that the components need to work equally well in any environment, which requires leveraging Infrastructure as a Service (IaaS) or additional investments for PaaS applications, or both.  What’s the Problem? Although most companies can benefit from cloud computing, not all of them can clearly identify a business reason for doing so other than in very generic terms. I heard many companies claim “it’s cheaper”, or “it allows us to scale”, without any specific metric or clear strategy behind the adoption decision. Other companies have a very clear strategy behind cloud adoption and can precisely articulate business benefits, such as “we have a 500% increase in traffic twice a year, so we need to burst in the cloud to avoid doubling our network and server capacity”. Understanding the problem being solved through by adopting cloud computing can significantly help organizations determine the optimum path and timeline to adoption. Performance or Scalability? I stopped counting the number of times I heard “the cloud doesn’t scale; our database runs faster on a laptop”.  While performance and scalability are related concepts, they are nonetheless different in nature. Performance is a measure of response time under a given load (meaning with a specific number of users), while scalability is the performance curve over various loads. For example one system could see great performance with 100 users, but timeout with 1,000 users, in which case the system wouldn’t scale. However another system could have average performance with 100 users, but display the exact same performance with 1,000,000 users, in which case the system would scale. Understanding that cloud computing does not usually provide high performance, but instead provides the tools necessary to build a scalable system (usually using PaaS services such as queuing and data federation), is fundamental to proper cloud adoption. Uptime? Last but not least, you may want to read the Service Level Agreement of your cloud provider in detail if you haven’t done so. If you are expecting 99.99% uptime annually you may be in for a surprise. Depending on the component being used, there may be no associated SLA at all! Other components may be restarted at any time, or services may experience failover conditions weekly ( or more) based on current overall conditions of the cloud service provider, most of which are outside of your control. As a result, for PaaS cloud environments (and to a certain extent some IaaS systems), applications need to assume failure and gracefully retry to be successful in the cloud in order to provide service continuity to end users. About Herve Roggero Herve Roggero, Windows Azure MVP, is the founder of Blue Syntax Consulting (http://www.bluesyntax.net). Herve's experience includes software development, architecture, database administration and senior management with both global corporations and startup companies. Herve holds multiple certifications, including an MCDBA, MCSE, MCSD. He also holds a Master's degree in Business Administration from Indiana University. Herve is the co-author of "PRO SQL Azure" and “PRO SQL Server 2012 Practices” from Apress, a PluralSight author, and runs the Azure Florida Association.

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• Access Control Lists for Roles

  - by Kyle Hatlestad

  Back in an earlier post, I wrote about how to enable entity security (access control lists, aka ACLs) for UCM 11g PS3.  Well, there was actually an additional security option that was included in that release but not fully supported yet (only for Fusion Applications).  It's the ability to define Roles as ACLs to entities (documents and folders).  But now in PS5, this security option is now fully supported.   The benefit of defining Roles for ACLs is that those user roles come from the enterprise security directory (e.g. OID, Active Directory, etc) and thus the WebCenter Content administrator does not need to define them like they do with ACL Groups (Aliases).  So it's a bit of best of both worlds.  Users are managed through the LDAP repository and are automatically granted/denied access through their group membership which are mapped to Roles in WCC.  A different way to think about it is being able to add multiple Accounts to content items...which I often get asked about.  Because LDAP groups can map to Accounts, there has always been this association between the LDAP groups and access to the entity in WCC.  But that mapping had to define the specific level of access (RWDA) and you could only apply one Account per content item or folder.  With Roles for ACLs, it basically takes away both of those restrictions by allowing users to define more then one Role and define the level of access on-the-fly. To turn on ACLs for Roles, there is a component to enable.  On the Component Manager page, click the 'advanced component manager' link in the description paragraph at the top.   In the list of Disabled Components, enable the RoleEntityACL component. Then restart.  This is assuming the other configuration settings have been made for the other ACLs in the earlier post.   Once enabled, a new metadata field called xClbraRoleList will be created.  If you are using OracleTextSearch as the search indexer, be sure to run a Fast Rebuild on the collection. For Users and Groups, these values are automatically picked up from the corresponding database tables.  In the case of Roles, there is an explicitly defined list of choices that are made available.  These values must match the roles that are coming from the enterprise security repository. To add these values, go to Administration -> Admin Applets -> Configuration Manager.  On the Views tab, edit the values for the ExternalRolesView.  By default, 'guest' and 'authenticated' are added.  Once added, you can assign the roles to your content or folder. If you are a user that can both access the Security Group for that item and you belong to that particular Role, you now have access to that item.  If you don't belong to that Role, you won't! [Extra] Because the selection mechanism for the list is using a type-ahead field, users may not even know the possible choices to start typing to.  To help them, one thing you can add to the form is a placeholder field which offers the entire list of roles as an option list they can scroll through (assuming its a manageable size)  and view to know what to type to.  By being a placeholder field, it won't need to be added to the custom metadata database table or search engine.  

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• Setting up your project

  - by ssoolsma

  Before any coding we first make sure that the project is setup correctly. (Please note, that this blog is all about how I do it, and incase i forget, i can return here and read how i used to do it. Maybe you come up with some idea’s for yourself too.) In these series we will create a minigolf scoring cart. Please note that we eventually create a fully functional application which you cannot use unless you pay me alot of money! (And i mean alot!)   1. Download and install the appropriate tools. Download the following: - TestDriven.Net (free version on the bottom of the download page) - nUnit TestDriven is a visual studio plugin for many unittest frameworks, which allows you to run  / test code very easily with a right click –> run test. nUnit is the test framework of choice, it works seamless with TestDriven.   2. Create your project Fire up visual studio and create your DataAccess project:  MidgetWidget.DataAccess is it’s name. (I choose MidgetWidget as name for the solution). Also, make sure that the MidgetWidget.DataAccess project is a c# ClassLibary Hit OK to create the solution. (in the above example the checkbox Create directory for solution is checked, because i’m pointing the location to the root of c:\development where i want MidgetWidget to be created.   3. Setup the database. You should have thought about a database when you reach this point. Let’s assume that you’ve created a database as followed: Table name: LoginKey Fields: Id (PK), KeyName (uniqueidentifier), StartDate (datetime), EndDate (datetime) Table name:  Party Fields: Id (PK), Key (uniqueidentifier, Created (datetime) Table name:  Person Fields: Id(PK),  PartyId (int), Name (varchar) Tablename: Score Fields: Id (PK), Trackid (int), PersonId (int), Strokes (int) Tablename: Track Fields: Id (PK), Name (varchar) A few things to take note about the database setup. I’ve singularized all tablenames (not “Persons“ but “Person”. This is because in a few minutes, when this is in our code, we refer to the database objects as single rows. We retrieve a single Person not a single “Persons” from the database.   4. Create the entity framework In your solution tree create a new folder and call it “DataModel”. Inside this folder: Add new item –> and choose ADO.NET Entity Data Model. Name it “Entities.edmx” and hit  “Add”. Once the edmx is added, open it (double click) and right click the white area and choose “Update model from database…". Now, point it to your database (i include sensitive data in the connectionstring) and select all the tables. After that hit “Finish” and let the entity framework do it’s code generation. Et Voila, after a few seconds you have set up your entity model. Next post we will start building the data-access! I’m off to the beach.

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• Failed to unmount partitions

  - by msknapp

  I'm trying to install ubuntu from a pen drive. I have windows 7 installed already and want to keep that installation. I have a 3TB drive that has one 2TB partition on it, so the last 1TB is completely unused, which is where I want to install ubuntu. I started ubuntu in "try ubuntu" mode and then opened gparted, and then deleted the unused partition for the last third of my drive, then tried to install ubuntu. During the install, it asked me if I wanted to unmount the drives I already have The installer has detected that the following disks have mounted partitions: /dev/sda, /dev/sdb Do you want the installer to try to unmount the partitions on these disks before continuing? If you leave them mounted, you will not be able to create, delete, or resize partitions on these disks, but you may be able to install to existing partitions there. No, Yes I said no because I don't want to lose my windows 7 installation, nor any of that data. I wonder, if I had said yes above, would I have lost all the data on those drives? Anyways, I hit no and continued. I chose to install ubuntu alongside windows 7, and hit continue. A few minutes passed when this popup appeared: Failed to unmount partitions The installer needs to commit changes to partition tables, but cannot do so because the partitions on the following mount points could not be unmounted: /media/ubuntu/Three\ Terabyte Drive Terabyte\ DriveDrive Please close any applications using these mount points. Would you like the installer to try to unmount these partitions again? Go Back, Continue Why is this not working? What am I supposed to do? ========== Update: I went ahead and said yes, it can unmount those partitions. It finished installing Ubuntu, but now when i start my machine it just takes me to the grub rescue prompt. Seems like it broke something. What can I do now? =============== Results of fdisk -l: Disk /dev/sda: 500.1 GB, 500107862016 bytes 255 heads, 63 sectors/track, 60801 cylinders, total 976773168 sectors Units = sectors of 1 * 512 = 512 bytes Sector size (logical/physical): 512 bytes / 512 bytes I/O size (minimum/optimal): 512 bytes / 512 bytes Disk identifier: 0x00027e14 Device Boot Start End Blocks Id System /dev/sda1 * 2048 206847 102400 7 HPFS/NTFS/exFAT /dev/sda2 206848 976771071 488282112 7 HPFS/NTFS/exFAT WARNING: GPT (GUID Partition Table) detected on '/dev/sdb'! The util fdisk doesn't support GPT. Use GNU Parted. Disk /dev/sdb: 3000.6 GB, 3000592982016 bytes 255 heads, 63 sectors/track, 364801 cylinders, total 5860533168 sectors Units = sectors of 1 * 512 = 512 bytes Sector size (logical/physical): 512 bytes / 4096 bytes I/O size (minimum/optimal): 4096 bytes / 4096 bytes Disk identifier: 0x00000000 Device Boot Start End Blocks Id System /dev/sdb1 1 4294967295 2147483647+ ee GPT Partition 1 does not start on physical sector boundary. Disk /dev/sdc: 16.0 GB, 16008609792 bytes 255 heads, 63 sectors/track, 1946 cylinders, total 31266816 sectors Units = sectors of 1 * 512 = 512 bytes Sector size (logical/physical): 512 bytes / 512 bytes I/O size (minimum/optimal): 512 bytes / 512 bytes Disk identifier: 0x00000000 Device Boot Start End Blocks Id System /dev/sdc1 * 32 31266815 15633392 c W95 FAT32 (LBA) Disk /dev/sdd: 999.5 GB, 999501594624 bytes 255 heads, 63 sectors/track, 121515 cylinders, total 1952151552 sectors Units = sectors of 1 * 512 = 512 bytes Sector size (logical/physical): 512 bytes / 512 bytes I/O size (minimum/optimal): 512 bytes / 512 bytes Disk identifier: 0x0002ae3f Device Boot Start End Blocks Id System /dev/sdd1 2048 1952151551 976074752 7 HPFS/NTFS/exFAT

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• Faster Memory Allocation Using vmtasks

  - by Steve Sistare

  You may have noticed a new system process called "vmtasks" on Solaris 11 systems: % pgrep vmtasks 8 % prstat -p 8 PID USERNAME SIZE RSS STATE PRI NICE TIME CPU PROCESS/NLWP 8 root 0K 0K sleep 99 -20 9:10:59 0.0% vmtasks/32 What is vmtasks, and why should you care? In a nutshell, vmtasks accelerates creation, locking, and destruction of pages in shared memory segments. This is particularly helpful for locked memory, as creating a page of physical memory is much more expensive than creating a page of virtual memory. For example, an ISM segment (shmflag & SHM_SHARE_MMU) is locked in memory on the first shmat() call, and a DISM segment (shmflg & SHM_PAGEABLE) is locked using mlock() or memcntl(). Segment operations such as creation and locking are typically single threaded, performed by the thread making the system call. In many applications, the size of a shared memory segment is a large fraction of total physical memory, and the single-threaded initialization is a scalability bottleneck which increases application startup time. To break the bottleneck, we apply parallel processing, harnessing the power of the additional CPUs that are always present on modern platforms. For sufficiently large segments, as many of 16 threads of vmtasks are employed to assist an application thread during creation, locking, and destruction operations. The segment is implicitly divided at page boundaries, and each thread is given a chunk of pages to process. The per-page processing time can vary, so for dynamic load balancing, the number of chunks is greater than the number of threads, and threads grab chunks dynamically as they finish their work. Because the threads modify a single application address space in compressed time interval, contention on locks protecting VM data structures locks was a problem, and we had to re-scale a number of VM locks to get good parallel efficiency. The vmtasks process has 1 thread per CPU and may accelerate multiple segment operations simultaneously, but each operation gets at most 16 helper threads to avoid monopolizing CPU resources. We may reconsider this limit in the future. Acceleration using vmtasks is enabled out of the box, with no tuning required, and works for all Solaris platform architectures (SPARC sun4u, SPARC sun4v, x86). The following tables show the time to create + lock + destroy a large segment, normalized as milliseconds per gigabyte, before and after the introduction of vmtasks: ISM system ncpu before after speedup ------ ---- ------ ----- ------- x4600 32 1386 245 6X X7560 64 1016 153 7X M9000 512 1196 206 6X T5240 128 2506 234 11X T4-2 128 1197 107 11x DISM system ncpu before after speedup ------ ---- ------ ----- ------- x4600 32 1582 265 6X X7560 64 1116 158 7X M9000 512 1165 152 8X T5240 128 2796 198 14X (I am missing the data for T4 DISM, for no good reason; it works fine). The following table separates the creation and destruction times: ISM, T4-2 before after ------ ----- create 702 64 destroy 495 43 To put this in perspective, consider creating a 512 GB ISM segment on T4-2. Creating the segment would take 6 minutes with the old code, and only 33 seconds with the new. If this is your Oracle SGA, you save over 5 minutes when starting the database, and you also save when shutting it down prior to a restart. Those minutes go directly to your bottom line for service availability.

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