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  • How should I select continuous integration tool?

    - by DeveloperDon
    I found this cool comparison table for integration servers on Wikipedia, but I am a little uncertain how to rank the tools vs. my needs and interests. The chart itself seems to have a lot of boxes marked unknown, so if you are comfortable updating it on Wikipedia, that could be great too. Are there a few top performing products so I can quickly narrow down to four or five options? Which products seems to have the largest user communities and most ongoing enhancements and integration with new tools? Are the open source offerings best, or are there high quality tools that can be a great deal for a single user at home? Will use of multiple systems (primary desktop, local only home network server, personal and work notebooks, multiple virtual machines spread across all) create problems and how can they be managed?

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  • Consolidating SQL Server Error Logs from Multiple Instances Using SSIS

    SQL Server hides a lot of very useful information in its error log files. Unfortunately, the process of hunting through all these logs, file-by-file, server-by-server, can cause a problem. Rodney Landrum offers a solution which will allow you to pull error log records from multiple servers into a central database, for analysis and reporting with T-SQL.

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  • Is SSIS able to query flat files from another Windows Server?

    - by atricapilla
    I pretty new SQL Server Integration Server (SSIS) user. Is SSIS able to query data from text files located in another Windows Server? I mean that when SSIS is installed on Windwos Server A, is SSIS able to query data from e.g. one folder containing text files in Windows Server B (under same domain)? I have used only SAP BO Data Integrator ETL tool and it cannot query flat files from another Server: during execution, all files must be located on the Job Server machine that executes the job.

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  • Separate Database for Integration Testing

    - by john doe
    I am performance integration testing where I fire up the ASPX pages using WatiN and fill the fields and insert into the database. There are couple of problems that I am facing. 1) Should I use a completely separate database for integration testing? I already gave db_test and db_dev. db_test is for unit testing and is cleared after each test. db_dev is for developers. 2) When I run WatiN test which are contained in a separate assembly (not separate from unit test assembly which should be better since WatiN test take so much time to run). So WatiN test fire up the WebApps project and uses their web.config which is pointing to the dev database. Is there anyway I can tell WatiN to use a separate web.config which contains a different database name?

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  • Investigation: Can different combinations of components effect Dataflow performance?

    - by jamiet
    Introduction The Dataflow task is one of the core components (if not the core component) of SQL Server Integration Services (SSIS) and often the most misunderstood. This is not surprising, its an incredibly complicated beast and we’re abstracted away from that complexity via some boxes that go yellow red or green and that have some lines drawn between them. Example dataflow In this blog post I intend to look under that facade and get into some of the nuts and bolts of the Dataflow Task by investigating how the decisions we make when building our packages can affect performance. I will do this by comparing the performance of three dataflows that all have the same input, all produce the same output, but which all operate slightly differently by way of having different transformation components. I also want to use this blog post to challenge a common held opinion that I see perpetuated over and over again on the SSIS forum. That is, that people assume adding components to a dataflow will be detrimental to overall performance. Its not surprising that people think this –it is intuitive to think that more components means more work- however this is not a view that I share. I have always been of the opinion that there are many factors affecting dataflow duration and the number of components is actually one of the less important ones; having said that I have never proven that assertion and that is one reason for this investigation. I have actually seen evidence that some people think dataflow duration is simply a function of number of rows and number of components. I’ll happily call that one out as a myth even without any investigation!  The Setup I have a 2GB datafile which is a list of 4731904 (~4.7million) customer records with various attributes against them and it contains 2 columns that I am going to use for categorisation: [YearlyIncome] [BirthDate] The data file is a SSIS raw format file which I chose to use because it is the quickest way of getting data into a dataflow and given that I am testing the transformations, not the source or destination adapters, I want to minimise external influences as much as possible. In the test I will split the customers according to month of birth (12 of those) and whether or not their yearly income is above or below 50000 (2 of those); in other words I will be splitting them into 24 discrete categories and in order to do it I shall be using different combinations of SSIS’ Conditional Split and Derived Column transformation components. The 24 datapaths that occur will each input to a rowcount component, again because this is the least resource intensive means of terminating a datapath. The test is being carried out on a Dell XPS Studio laptop with a quad core (8 logical Procs) Intel Core i7 at 1.73GHz and Samsung SSD hard drive. Its running SQL Server 2008 R2 on Windows 7. The Variables Here are the three combinations of components that I am going to test:     One Conditional Split - A single Conditional Split component CSPL Split by Month of Birth and income category that will use expressions on [YearlyIncome] & [BirthDate] to send each row to one of 24 outputs. This next screenshot displays the expression logic in use: Derived Column & Conditional Split - A Derived Column component DER Income Category that adds a new column [IncomeCategory] which will contain one of two possible text values {“LessThan50000”,”GreaterThan50000”} and uses [YearlyIncome] to determine which value each row should get. A Conditional Split component CSPL Split by Month of Birth and Income Category then uses that new column in conjunction with [BirthDate] to determine which of the same 24 outputs to send each row to. Put more simply, I am separating the Conditional Split of #1 into a Derived Column and a Conditional Split. The next screenshots display the expression logic in use: DER Income Category         CSPL Split by Month of Birth and Income Category       Three Conditional Splits - A Conditional Split component that produces two outputs based on [YearlyIncome], one for each Income Category. Each of those outputs will go to a further Conditional Split that splits the input into 12 outputs, one for each month of birth (identical logic in each). In this case then I am separating the single Conditional Split of #1 into three Conditional Split components. The next screenshots display the expression logic in use: CSPL Split by Income Category         CSPL Split by Month of Birth 1& 2       Each of these combinations will provide an input to one of the 24 rowcount components, just the same as before. For illustration here is a screenshot of the dataflow containing three Conditional Split components: As you can these dataflows have a fair bit of work to do and remember that they’re doing that work for 4.7million rows. I will execute each dataflow 10 times and use the average for comparison. I foresee three possible outcomes: The dataflow containing just one Conditional Split (i.e. #1) will be quicker There is no significant difference between any of them One of the two dataflows containing multiple transformation components will be quicker Regardless of which of those outcomes come to pass we will have learnt something and that makes this an interesting test to carry out. Note that I will be executing the dataflows using dtexec.exe rather than hitting F5 within BIDS. The Results and Analysis The table below shows all of the executions, 10 for each dataflow. It also shows the average for each along with a standard deviation. All durations are in seconds. I’m pasting a screenshot because I frankly can’t be bothered with the faffing about needed to make a presentable HTML table. It is plain to see from the average that the dataflow containing three conditional splits is significantly faster, the other two taking 43% and 52% longer respectively. This seems strange though, right? Why does the dataflow containing the most components outperform the other two by such a big margin? The answer is actually quite logical when you put some thought into it and I’ll explain that below. Before progressing, a side note. The standard deviation for the “Three Conditional Splits” dataflow is orders of magnitude smaller – indicating that performance for this dataflow can be predicted with much greater confidence too. The Explanation I refer you to the screenshot above that shows how CSPL Split by Month of Birth and salary category in the first dataflow is setup. Observe that there is a case for each combination of Month Of Date and Income Category – 24 in total. These expressions get evaluated in the order that they appear and hence if we assume that Month of Date and Income Category are uniformly distributed in the dataset we can deduce that the expected number of expression evaluations for each row is 12.5 i.e. 1 (the minimum) + 24 (the maximum) divided by 2 = 12.5. Now take a look at the screenshots for the second dataflow. We are doing one expression evaluation in DER Income Category and we have the same 24 cases in CSPL Split by Month of Birth and Income Category as we had before, only the expression differs slightly. In this case then we have 1 + 12.5 = 13.5 expected evaluations for each row – that would account for the slightly longer average execution time for this dataflow. Now onto the third dataflow, the quick one. CSPL Split by Income Category does a maximum of 2 expression evaluations thus the expected number of evaluations per row is 1.5. CSPL Split by Month of Birth 1 & CSPL Split by Month of Birth 2 both have less work to do than the previous Conditional Split components because they only have 12 cases to test for thus the expected number of expression evaluations is 6.5 There are two of them so total expected number of expression evaluations for this dataflow is 6.5 + 6.5 + 1.5 = 14.5. 14.5 is still more than 12.5 & 13.5 though so why is the third dataflow so much quicker? Simple, the conditional expressions in the first two dataflows have two boolean predicates to evaluate – one for Income Category and one for Month of Birth; the expressions in the Conditional Split in the third dataflow however only have one predicate thus they are doing a lot less work. To sum up, the difference in execution times can be attributed to the difference between: MONTH(BirthDate) == 1 && YearlyIncome <= 50000 and MONTH(BirthDate) == 1 In the first two dataflows YearlyIncome <= 50000 gets evaluated an average of 12.5 times for every row whereas in the third dataflow it is evaluated once and once only. Multiply those 11.5 extra operations by 4.7million rows and you get a significant amount of extra CPU cycles – that’s where our duration difference comes from. The Wrap-up The obvious point here is that adding new components to a dataflow isn’t necessarily going to make it go any slower, moreover you may be able to achieve significant improvements by splitting logic over multiple components rather than one. Performance tuning is all about reducing the amount of work that needs to be done and that doesn’t necessarily mean use less components, indeed sometimes you may be able to reduce workload in ways that aren’t immediately obvious as I think I have proven here. Of course there are many variables in play here and your mileage will most definitely vary. I encourage you to download the package and see if you get similar results – let me know in the comments. The package contains all three dataflows plus a fourth dataflow that will create the 2GB raw file for you (you will also need the [AdventureWorksDW2008] sample database from which to source the data); simply disable all dataflows except the one you want to test before executing the package and remember, execute using dtexec, not within BIDS. If you want to explore dataflow performance tuning in more detail then here are some links you might want to check out: Inequality joins, Asynchronous transformations and Lookups Destination Adapter Comparison Don’t turn the dataflow into a cursor SSIS Dataflow – Designing for performance (webinar) Any comments? Let me know! @Jamiet

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  • Integration error in high velocity

    - by Elektito
    I've implemented a simple simulation of two planets (simple 2D disks really) in which the only force is gravity and there is also collision detection/response (collisions are completely elastic). I can launch one planet into orbit of the other just fine. The collision detection code though does not work so well. I noticed that when one planet hits the other in a free fall it speeds backward and goes much higher than its original position. Some poking around convinced me that the simplistic Euler integration is causing the error. Consider this case. One object has a mass of 1kg and the other has a mass equal to earth. Say the object is 10 meters above ground. Assume that our dt (delta t) is 1 second. The object goes to the height of 9 meters at the end of the first iteration, 7 at the end of the second, 4 at the end of the third and 0 at the end of the fourth iteration. At this points it hits the ground and bounces back with the speed of 10 meters per second. The problem is with dt=1, on the first iteration it bounces back to a height of 10. It takes several more steps to make the object change its course. So my question is, what integration method can I use which fixes this problem. Should I split dt to smaller pieces when velocity is high? Or should I use another method altogether? What method do you suggest? EDIT: You can see the source code here at github:https://github.com/elektito/diskworld/

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  • Presenting Designing an SSIS Execution Framework to Steel City SQL 18 Jan 2011!

    - by andyleonard
    I'm honored to present Designing an SSIS Execution Framework (Level 300) to Steel City SQL - the Birmingham Alabama chapter of PASS - on 18 Jan 2011! The meeting starts at 6:00 PM 18 Jan 2011 and will be held at: New Horizons Computer Learning Center 601 Beacon Pkwy. West Suite 106 Birmingham, Alabama, 35209 ( Map for directions ) Abstract In this “demo-tastic” presentation, SSIS trainer, author, and consultant Andy Leonard explains the what, why, and how of an SSIS framework that delivers metadata-driven...(read more)

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  • Oracle Coherence & Oracle Service Bus: REST API Integration

    - by Nino Guarnacci
    This post aims to highlight one of the features found in Oracle Coherence which allows it to be easily added and integrated inside a wider variety of projects.  The features in question are the REST API exposed by the Coherence nodes, with which you can interact in the wider mode in memory data grid.Oracle Coherence and Oracle Service Bus are natively integrated through a feature found in the Oracle Service Bus, which allows you to use the coherence grid cache during the configuration phase of a business service. This feature allows you to use an intermediate layer of cache to retrieve the answers from previous invocations of the same service, without necessarily having to invoke the real business service again. Directly from the web console of Oracle Service Bus, you can decide the policies of eviction of the objects / answers and define the discriminating parameters that identify their uniqueness.The coherence REST APIs, however, allow you to integrate both products for other necessities enabling realization of new architectures design.  Consider coherence’s node as a simple service which interoperates through the stardard services and in particular REST (with JSON and XML). Thinking of coherence as a company’s shared service, able to have an implementation of a centralized “map and reduce” which you can access  by a huge variety of protocols (transport and envelopes).An amazing step forward for those who still imagine connectors and code. This type of integration does not require writing custom code or complex implementation to be self-supported. The added value is made unique by the incredible value of both products independently, and still more out of their simple and robust integration.As already mentioned this scenario discovers a hidden new door behind the columns of these two products. The door leads to new ideas and perspectives for enterprise architectures that increasingly wink to next-generation applications: simple and dynamic, perhaps towards the mobile and web 2.0.Below, a small and simple demo useful to demonstrate how easily is to integrate these two products using the Coherence REST API. This demo is also intended to imagine new enterprise architectures using this approach.The idea is to create a centralized system of alerting, fed easily from any company’s application, regardless of the technology with which they were built . Then use a representation standard protocol: RSS, using a service exposed by the service bus; So you can browse and search only the alerts that you are interested on, by category, author, title, date, etc etc.. The steps needed to implement this system are very simple and very few. Here they are listed below and described to be easily replicated within your environment. I would remind you that the demo is only meant to demonstrate how easily is to integrate Oracle Coherence and the Oracle Service Bus, and stimulate your imagination to new technological approaches.1) Install the two products: In this demo used (if necessary, consult the installation guides of 2 products)  - Oracle Service Bus ver. 11.1.1.5.0 http://www.oracle.com/technetwork/middleware/service-bus/downloads/index.html - Oracle Coherence ver. 3.7.1 http://www.oracle.com/technetwork/middleware/coherence/downloads/index.html 2) Because you choose to create a centralized alerting system, we need to define a structure type containing some alerting attributes useful to preserve and organize the information of the various alerts sent by the different applications. Here, then it was built a java class named Alert containing the canonical properties of an alarm information:- Title- Description- System- Time- Severity 3) Therefore, we need to create two configuration files for the coherence node, in order to save the Alert objects within the grid, through the rest/http protocol (more than the native API for Java, C + +, C,. Net). Here are the two minimal configuration files for Coherence:coherence-rest-config.xml resty-server-config.xml This minimum configuration allows me to use a distributed cache named "alerts" that can  also be accessed via http - rest on the host "localhost" over port "8080", objects are of type “oracle.cohsb.Alert”. 4) Below  a simple Java class that represents the type of alert messages: 5) At this point we just need to startup our coherence node, able to listen on http protocol to manage the “alerts” cache, which will receive incoming XML or JSON objects of type Alert. Remember to include in the classpath of the coherence node, the Alert java class and the following coherence libraries and configuration files:  At this point, just run the coherence class node “com.tangosol.net.DefaultCacheServer”advising you to set the following parameters:-Dtangosol.coherence.log.level=9 -Dtangosol.coherence.log=stdout -Dtangosol.coherence.cacheconfig=[PATH_TO_THE_FILE]\resty-server-config.xml 6) Let's create a procedure to test our configuration of Coherence and in order to insert some custom alerts in our cache. The technology with which you want to achieve this functionality is fully not considerable: Javascript, Python, Ruby, Scala, C + +, Java.... Because the protocol to communicate with Coherence is simply HTTP / JSON or XML. For this little demo i choose Java: A method to send/put the alert to the cache: A method to query and view the content of the cache: Finally the main method that execute our methods:  No special library added in the classpath for our class (json struct static defined), when it will be executed, it asks some information such as title, description,... in order to compose and send an alert to the cache and then it will perform an inquiry, to the same cache. At this point, a good exercise at this point, may be to create the same procedure using other technologies, such as a simple html page containing some JavaScript code, and then using Python, Ruby, and so on.7) Now we are ready to start configuring the Oracle Service Bus in order to integrate the two products. First integrate the internal alerting system of Oracle Service Bus with our centralized alerting system based on coherence node. This ensures that by monitoring, or directly from within our Proxy Message Flow, we can throw alerts and save them directly into the Coherence node. To do this I choose to use the jms technology, natively present inside the Oracle Weblogic / Service Bus. Access to the Oracle WebLogic Administration console and create and configure a new JMS connection factory and a new jms destination (queue). Now we should create a new resource of type “alert destination” within our Oracle Service Bus project. The new “alert destination” resource should be configured using the newly created connection factory jms and jms destination. Finally, in order to withdraw the message alert enqueued in our JMS destination and send it to our coherence node, we just need to create a new business service and proxy service within our Oracle Service Bus project.Our business service is responsible for sending a message to our REST service Coherence using as a method action: PUT Finally our proxy service have to collect all messages enqueued on the destination, execute an xquery transformation on those messages  in order to translate them into valid XML / alert objects useful to be sent to our coherence service, through the newly created business service. The message flow pipeline containing the xquery transformation: Incredibly,  we just did a basic first integration between the native alerting system of Oracle Service Bus and our centralized alerting system by simply configuring our coherence node without developing anything.It's time to test it out. To do this I create a proxy service able to generate an alert using our "alert destination", whenever the proxy is invoked. After some invocation to our proxy that generates fake alerts, we could open an Internet browser and type the URL  http://localhost: 8080/alerts/  so we could see what has been inserted within the coherence node. 8) We are ready for the final step.  We would create a new message flow, that can be used to search and display the results in standard mode. To do this I choosen the standard representation of RSS, to display a formatted result on a huge variety of devices such as readers for the iPhone and Android. The inquiry may be defined already at the time of the request able to return only feed / items related to our needs. To do this we need to create a new business service, a new proxy service, and finally a new XQuery Transformation to take care of translating the collection of alerts that will be return from our coherence node in a nicely formatted RSS standard document.So we start right from this resource (xquery), which has the task of transforming a collection of alerts / xml returned from the node coherence in a type well-formatted feed RSS 2.0 our new business service that will search the alerts on our coherence node using the Rest API. And finally, our last resource, the proxy service that will be exposed as an RSS / feeds to various mobile devices and traditional web readers, in which we will intercept any search query, and transform the result returned by the business service in an RSS feed 2.0. The message flow with the transformation phase (Alert TO Feed Items): Finally some little tricks to follow during the routing to the business service, - check for any queries present in the url to require a subset of alerts  - the http header "Accept" to help get an answer XML instead of JSON: In our little demo we also static added some coherence parameters to the request:sort=time:desc;start=0;count=100I would like to get from Coherence that the results will be sorted by date, and starting from 1 up to a maximum of 100.Done!!Just incredible, our centralized alerting system is ready. Inheriting all the qualities and capabilities of the two products involved Oracle Coherence & Oracle Service Bus: - RASP (Reliability, Availability, Scalability, Performance)Now try to use your mobile device, or a normal Internet browser by accessing the RSS just published: Some urls you may test: Search for the last 100 alerts : http://localhost:7001/alarmsSearch for alerts that do not have time set to null (time is not null):http://localhost:7001/alarms?q=time+is+not+nullSearch for alerts that the system property is “Web Browser” (system = ‘Web Browser’):http://localhost:7001/alarms?q=system+%3D+%27Web+Browser%27Search for alerts that the system property is “Web Browser” and the severity property is “Fatal” and the title property contain the word “Javascript”  (system = ‘Web Broser’ and severity = ‘Fatal’ and title like ‘%Javascript%’)http://localhost:8080/alerts?q=system+%3D+%27Web+Browser%27+AND+severity+%3D+%27Fatal%27+AND+title+LIKE+%27%25Javascript%25%27 To compose more complex queries about your need I would suggest you to read the chapter in the coherence documentation inherent the Cohl language (Coherence Query Language) http://download.oracle.com/docs/cd/E24290_01/coh.371/e22837/api_cq.htm . Some useful links: - Oracle Coherence REST API Documentation http://download.oracle.com/docs/cd/E24290_01/coh.371/e22839/rest_intro.htm - Oracle Service Bus Documentation http://download.oracle.com/docs/cd/E21764_01/soa.htm#osb - REST explanation from Wikipedia http://en.wikipedia.org/wiki/Representational_state_transfer At this URL could be downloaded the whole materials of this demo http://blogs.oracle.com/slc/resource/cosb/coh-sb-demo.zip Author: Nino Guarnacci.

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  • maintaining a growing, diverse codebase with continuous integration

    - by Nate
    I am in need of some help with philosophy and design of a continuous integration setup. Our current CI setup uses buildbot. When I started out designing it, I inherited (well, not strictly, as I was involved in its design a year earlier) a bespoke CI builder that was tailored to run the entire build at once, overnight. After a while, we decided that this was insufficient, and started exploring different CI frameworks, eventually choosing buildbot. One of my goals in transitioning to buildbot (besides getting to enjoy all the whiz-bang extras) was to overcome some of the inadequacies of our bespoke nightly builder. Humor me for a moment, and let me explain what I have inherited. The codebase for my company is almost 150 unique c++ Windows applications, each of which has dependencies on one or more of a dozen internal libraries (and many on 3rd party libraries as well). Some of these libraries are interdependent, and have depending applications that (while they have nothing to do with each other) have to be built with the same build of that library. Half of these applications and libraries are considered "legacy" and unportable, and must be built with several distinct configurations of the IBM compiler (for which I have written unique subclasses of Compile), and the other half are built with visual studio. The code for each compiler is stored in two separate Visual SourceSafe repositories (which I am simply handling using a bunch of ShellCommands, as there is no support for VSS). Our original nightly builder simply took down the source for everything, and built stuff in a certain order. There was no way to build only a single application, or pick a revision, or to group things. It would launched virtual machines to build a number of the applications. It wasn't very robust, it wasn't distributable. It wasn't terribly extensible. I wanted to be able to overcame all of these limitations in buildbot. The way I did this originally was to create entries for each of the applications we wanted to build (all 150ish of them), then create triggered schedulers that could build various applications as groups, and then subsume those groups under an overall nightly build scheduler. These could run on dedicated slaves (no more virtual machine chicanery), and if I wanted I could simply add new slaves. Now, if we want to do a full build out of schedule, it's one click, but we can also build just one application should we so desire. There are four weaknesses of this approach, however. One is our source tree's complex web of dependencies. In order to simplify config maintenace, all builders are generated from a large dictionary. The dependencies are retrieved and built in a not-terribly robust fashion (namely, keying off of certain things in my build-target dictionary). The second is that each build has between 15 and 21 build steps, which is hard to browse and look at in the web interface, and since there are around 150 columns, takes forever to load (think from 30 seconds to multiple minutes). Thirdly, we no longer have autodiscovery of build targets (although, as much as one of my coworkers harps on me about this, I don't see what it got us in the first place). Finally, aformentioned coworker likes to constantly bring up the fact that we can no longer perform a full build on our local machine (though I never saw what that got us, either, considering that it took three times as long as the distributed build; I think he is just paranoically phobic of ever breaking the build). Now, moving to new development, we are starting to use g++ and subversion (not porting the old repository, mind you - just for the new stuff). Also, we are starting to do more unit testing ("more" might give the wrong picture... it's more like any), and integration testing (using python). I'm having a hard time figuring out how to fit these into my existing configuration. So, where have I gone wrong philosophically here? How can I best proceed forward (with buildbot - it's the only piece of the puzzle I have license to work on) so that my configuration is actually maintainable? How do I address some of my design's weaknesses? What really works in terms of CI strategies for large, (possibly over-)complex codebases?

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  • Want to Learn SQL Server 2012?

    - by andyleonard
    Or SSIS 2012? SSRS 2012? SSAS 2012? There’s no substitute for getting your hands on the product, in my opinion. I can hear you thinking, “But Andy, I can’t afford to purchase a copy of SQL Server 2012.” Are you sure? What if I told you that you can get a full-feature version of SQL Server 2012 Enterprise Edition for $50? Well, you cannot… it’s actually less than $50! SQL Server 2012 Developer Edition is available at Amazon on the day of this writing for $41.24USD. That’s about the price of eight...(read more)

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  • How To Run integrational Tests

    - by Vladimir
    In our project we have a plenty of Unit Tests. They help to keep project rather well-tested. Besides them we have a set of tests which are unit tests, but depends on some kind of external resource. We call them external tests. They can access web-service sometimes or similar. While unit tests is easy to run the integrational tests couldn't pass sometimes - for example due to timeout error. Also these tests can take too much time to run. Currently we keep integration/external unit tests just to run them when developing corresponding functionality. For plain unit tests we use TeamCIty for continuous integration. How do you run the integration unit tests and when do you run them?

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  • Examples of continuous integration workflow using git

    - by Andrew Barinov
    Can anyone provide a rough outline of their git workflow that complies with continuous integration. E.g. How do you branch? Do you fast forward commits to the master branch? I am primarily working with Rails as well as client and server side Javascript. If anyone can recommend a solid CI technology that's compatible with those, that'd be great. I've looked into Jenkins but would like to check out other good alternatives. To put some context into this, I am planning on transitioning from working as a single developer into working as part of the team. I'd like to start standardizing my own personal workflow so that I can onboard new devs quickly.

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  • Continuous integration - build Debug and Release every time?

    - by Darian Miller
    Is it standard practice when setting up a Continuous Integration server to build a Debug and Release version of each project? Most of the time developers code with a Debug mode project configuration set enabled and there could be different library path configurations, compiler defines, or other items configured differently between Debug/Release that would cause them to act differently. I configured my CI server to build both Debug & Release of each project and I'm wondering if I'm just overthinking it. My assumption is that I'll do this as long as I can get quick feedback and once that happens, then push the Release off to a nightly build perhaps. Is there a 'standard' way of approaching this?

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  • Open Source Bulletin Board with Facebook Group Integration

    - by Brian
    I'm working on a an open-source community-oriented project which needs a highly social component where users can post discussion topics and questions and interact with each other. It would be ideal to facilitate discussion seamlessly between a bulletin board and Facebook. Has anyone seen such an integration? I'm talking about something that goes beyond a simple FB OAuth and actually synchronizes both forum posts / topics / OAuth / comments. Pretty please if a moderator is going to delete this tell me which StackExchange forum is the appropriate place for posting such an inquiry. :)

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  • Continuous integration testing server: hosted, own desktop, or own server

    - by Victor
    For testing, I am planning to run a continuous integration testing. There are mainly two options: hosted, or own desktop/server. I will break it into 3 options I have: Hosted: Economical, $10-20/month for a small app Less setup, the CI company manage all hardware and software Desktop: I could just buy a simple, cheap desktop as a test server (about $500). Used server: My current office is offloading some old Dell rack server (Probably dual core Xeon, which I can purchase for $50 or less Please advise me which best serves me for a small team of 2-3 developers. Thanks.

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  • Continuous integration (with iOS and Android projects)

    - by paxx
    I'm trying to make some positive changes in my company and one of the changes is implementing continuous integration. We do mobile development (iOS/Android) so I need a CI that supports both types of projects. As you can tell I don't know a lot about CI but I've googled a little bit and I think that Jenkins and Hudson are the two most popular. I have a two part questions. Your thought on Jenkins and Hudson? Is there a way for CI to check if the project is compiling to the coding standards (like loose coupling and so on)?

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  • Replication Services as ETL extraction tool

    - by jorg
    In my last blog post I explained the principles of Replication Services and the possibilities it offers in a BI environment. One of the possibilities I described was the use of snapshot replication as an ETL extraction tool: “Snapshot Replication can also be useful in BI environments, if you don’t need a near real-time copy of the database, you can choose to use this form of replication. Next to an alternative for Transactional Replication it can be used to stage data so it can be transformed and moved into the data warehousing environment afterwards. In many solutions I have seen developers create multiple SSIS packages that simply copies data from one or more source systems to a staging database that figures as source for the ETL process. The creation of these packages takes a lot of (boring) time, while Replication Services can do the same in minutes. It is possible to filter out columns and/or records and it can even apply schema changes automatically so I think it offers enough features here. I don’t know how the performance will be and if it really works as good for this purpose as I expect, but I want to try this out soon!” Well I have tried it out and I must say it worked well. I was able to let replication services do work in a fraction of the time it would cost me to do the same in SSIS. What I did was the following: Configure snapshot replication for some Adventure Works tables, this was quite simple and straightforward. Create an SSIS package that executes the snapshot replication on demand and waits for its completion. This is something that you can’t do with out of the box functionality. While configuring the snapshot replication two SQL Agent Jobs are created, one for the creation of the snapshot and one for the distribution of the snapshot. Unfortunately these jobs are  asynchronous which means that if you execute them they immediately report back if the job started successfully or not, they do not wait for completion and report its result afterwards. So I had to create an SSIS package that executes the jobs and waits for their completion before the rest of the ETL process continues. Fortunately I was able to create the SSIS package with the desired functionality. I have made a step-by-step guide that will help you configure the snapshot replication and I have uploaded the SSIS package you need to execute it. Configure snapshot replication   The first step is to create a publication on the database you want to replicate. Connect to SQL Server Management Studio and right-click Replication, choose for New.. Publication…   The New Publication Wizard appears, click Next Choose your “source” database and click Next Choose Snapshot publication and click Next   You can now select tables and other objects that you want to publish Expand Tables and select the tables that are needed in your ETL process In the next screen you can add filters on the selected tables which can be very useful. Think about selecting only the last x days of data for example. Its possible to filter out rows and/or columns. In this example I did not apply any filters. Schedule the Snapshot Agent to run at a desired time, by doing this a SQL Agent Job is created which we need to execute from a SSIS package later on. Next you need to set the Security Settings for the Snapshot Agent. Click on the Security Settings button.   In this example I ran the Agent under the SQL Server Agent service account. This is not recommended as a security best practice. Fortunately there is an excellent article on TechNet which tells you exactly how to set up the security for replication services. Read it here and make sure you follow the guidelines!   On the next screen choose to create the publication at the end of the wizard Give the publication a name (SnapshotTest) and complete the wizard   The publication is created and the articles (tables in this case) are added Now the publication is created successfully its time to create a new subscription for this publication.   Expand the Replication folder in SSMS and right click Local Subscriptions, choose New Subscriptions   The New Subscription Wizard appears   Select the publisher on which you just created your publication and select the database and publication (SnapshotTest)   You can now choose where the Distribution Agent should run. If it runs at the distributor (push subscriptions) it causes extra processing overhead. If you use a separate server for your ETL process and databases choose to run each agent at its subscriber (pull subscriptions) to reduce the processing overhead at the distributor. Of course we need a database for the subscription and fortunately the Wizard can create it for you. Choose for New database   Give the database the desired name, set the desired options and click OK You can now add multiple SQL Server Subscribers which is not necessary in this case but can be very useful.   You now need to set the security settings for the Distribution Agent. Click on the …. button Again, in this example I ran the Agent under the SQL Server Agent service account. Read the security best practices here   Click Next   Make sure you create a synchronization job schedule again. This job is also necessary in the SSIS package later on. Initialize the subscription at first synchronization Select the first box to create the subscription when finishing this wizard Complete the wizard by clicking Finish The subscription will be created In SSMS you see a new database is created, the subscriber. There are no tables or other objects in the database available yet because the replication jobs did not ran yet. Now expand the SQL Server Agent, go to Jobs and search for the job that creates the snapshot:   Rename this job to “CreateSnapshot” Now search for the job that distributes the snapshot:   Rename this job to “DistributeSnapshot” Create an SSIS package that executes the snapshot replication We now need an SSIS package that will take care of the execution of both jobs. The CreateSnapshot job needs to execute and finish before the DistributeSnapshot job runs. After the DistributeSnapshot job has started the package needs to wait until its finished before the package execution finishes. The Execute SQL Server Agent Job Task is designed to execute SQL Agent Jobs from SSIS. Unfortunately this SSIS task only executes the job and reports back if the job started succesfully or not, it does not report if the job actually completed with success or failure. This is because these jobs are asynchronous. The SSIS package I’ve created does the following: It runs the CreateSnapshot job It checks every 5 seconds if the job is completed with a for loop When the CreateSnapshot job is completed it starts the DistributeSnapshot job And again it waits until the snapshot is delivered before the package will finish successfully Quite simple and the package is ready to use as standalone extract mechanism. After executing the package the replicated tables are added to the subscriber database and are filled with data:   Download the SSIS package here (SSIS 2008) Conclusion In this example I only replicated 5 tables, I could create a SSIS package that does the same in approximately the same amount of time. But if I replicated all the 70+ AdventureWorks tables I would save a lot of time and boring work! With replication services you also benefit from the feature that schema changes are applied automatically which means your entire extract phase wont break. Because a snapshot is created using the bcp utility (bulk copy) it’s also quite fast, so the performance will be quite good. Disadvantages of using snapshot replication as extraction tool is the limitation on source systems. You can only choose SQL Server or Oracle databases to act as a publisher. So if you plan to build an extract phase for your ETL process that will invoke a lot of tables think about replication services, it would save you a lot of time and thanks to the Extract SSIS package I’ve created you can perfectly fit it in your usual SSIS ETL process.

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  • SSIS Catalog: How to use environment in every type of package execution

    - by Kevin Shyr
    Here is a good blog on how to create a SSIS Catalog and setting up environments.  http://sqlblog.com/blogs/jamie_thomson/archive/2010/11/13/ssis-server-catalogs-environments-environment-variables-in-ssis-in-denali.aspx Here I will summarize 3 ways I know so far to execute a package while using variables set up in SSIS Catalog environment. First way, we have SSIS project having reference to environment, and having one of the project parameter using a value set up in the environment called "Development".  With this set up, you are limited to calling the packages by right-clicking on the packages in the SSIS catalog list and select Execute, but you are free to choose absolute or relative path of the environment. The following screenshot shows the 2 available paths to your SSIS environments.  Personally, I use absolute path because of Option 3, just to keep everything simple for myself. The second option is to call through SQL Job.  This does require you to configure your project to already reference an environment and use its variable.  When a job step is set up, the configuration part will require you to select that reference again.  This is more useful when you want to automate the same package that needs to be run in different environments. The third option is the most important to me as I have a SSIS framework that calls hundreds of packages.  The main part of the stored procedure is in this post (http://geekswithblogs.net/LifeLongTechie/archive/2012/11/14/time-to-stop-using-ldquoexecute-package-taskrdquondash-a-way-to.aspx).  But the top part had to be modified to include the logic to use environment reference. CREATE PROCEDURE [AUDIT].[LaunchPackageExecutionInSSISCatalog] @PackageName NVARCHAR(255) , @ProjectFolder NVARCHAR(255) , @ProjectName NVARCHAR(255) , @AuditKey INT , @DisableNotification BIT , @PackageExecutionLogID INT , @EnvironmentName NVARCHAR(128) = NULL , @Use32BitRunTime BIT = FALSE AS BEGIN TRY DECLARE @execution_id BIGINT = 0; -- Create a package execution IF @EnvironmentName IS NULL BEGIN   EXEC [SSISDB].[catalog].[create_execution]     @package_name=@PackageName,     @execution_id=@execution_id OUTPUT,     @folder_name=@ProjectFolder,     @project_name=@ProjectName,     @use32bitruntime=@Use32BitRunTime; END ELSE BEGIN   DECLARE @EnvironmentID AS INT   SELECT @EnvironmentID = [reference_id]    FROM SSISDB.[internal].[environment_references] WITH(NOLOCK)    WHERE [environment_name] = @EnvironmentName     AND [environment_folder_name] = @ProjectFolder      EXEC [SSISDB].[catalog].[create_execution]     @package_name=@PackageName,     @execution_id=@execution_id OUTPUT,     @folder_name=@ProjectFolder,     @project_name=@ProjectName,     @reference_id=@EnvironmentID,     @use32bitruntime=@Use32BitRunTime; END

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  • Did you know documentation is built-in to usp_ssiscatalog?

    - by jamiet
    I am still working apace on updates to my open source project SSISReportingPack, specifically I am working on improvements to usp_ssiscatalog which is a stored procedure that eases the querying and exploration of the data in the SSIS Catalog. In this blog post I want to share a titbit of information about usp_ssiscatalog, that all the actions that you can take when you execute usp_ssiscatalog are documented within the stored procedure itself. For example if you simply execute EXEC usp_ssiscatalog @action='exec' in SSMS then switch over to the messages tab you will see some information about the action: OK, that’s kinda cool. But what if you only want to see the documentation and don’t actually want any action to take place. Well you can do that too using the @show_docs_only parameter like so: EXEC dbo.usp_ssiscatalog @a='exec',@show_docs_only=1; That will only show the documentation. Wanna read all of the documentation? That’s simply: EXEC dbo.usp_ssiscatalog @a='exec',@show_docs_only=1; EXEC dbo.usp_ssiscatalog @a='execs',@show_docs_only=1; EXEC dbo.usp_ssiscatalog @a='configure',@show_docs_only=1; EXEC dbo.usp_ssiscatalog @a='exec_created',@show_docs_only=1; EXEC dbo.usp_ssiscatalog @a='exec_running',@show_docs_only=1; EXEC dbo.usp_ssiscatalog @a='exec_canceled',@show_docs_only=1; EXEC dbo.usp_ssiscatalog @a='exec_failed',@show_docs_only=1; EXEC dbo.usp_ssiscatalog @a='exec_pending',@show_docs_only=1; EXEC dbo.usp_ssiscatalog @a='exec_ended_unexpectedly',@show_docs_only=1; EXEC dbo.usp_ssiscatalog @a='exec_succeeded',@show_docs_only=1; EXEC dbo.usp_ssiscatalog @a='exec_stopping',@show_docs_only=1; EXEC dbo.usp_ssiscatalog @a='exec_completed',@show_docs_only=1; I hope that comes in useful for you sometime. Have fun exploring the documentation on usp_ssiscatalog. If you think the documentation can be improved please do let me know. @jamiet

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  • Did you know documentation is built-in to usp_ssiscatalog?

    - by jamiet
    I am still working apace on updates to my open source project SSISReportingPack, specifically I am working on improvements to usp_ssiscatalog which is a stored procedure that eases the querying and exploration of the data in the SSIS Catalog. In this blog post I want to share a titbit of information about usp_ssiscatalog, that all the actions that you can take when you execute usp_ssiscatalog are documented within the stored procedure itself. For example if you simply execute EXEC usp_ssiscatalog @action='exec' in SSMS then switch over to the messages tab you will see some information about the action: OK, that’s kinda cool. But what if you only want to see the documentation and don’t actually want any action to take place. Well you can do that too using the @show_docs_only parameter like so: EXEC dbo.usp_ssiscatalog @a='exec',@show_docs_only=1; That will only show the documentation. Wanna read all of the documentation? That’s simply: EXEC dbo.usp_ssiscatalog @a='exec',@show_docs_only=1; EXEC dbo.usp_ssiscatalog @a='execs',@show_docs_only=1; EXEC dbo.usp_ssiscatalog @a='configure',@show_docs_only=1; EXEC dbo.usp_ssiscatalog @a='exec_created',@show_docs_only=1; EXEC dbo.usp_ssiscatalog @a='exec_running',@show_docs_only=1; EXEC dbo.usp_ssiscatalog @a='exec_canceled',@show_docs_only=1; EXEC dbo.usp_ssiscatalog @a='exec_failed',@show_docs_only=1; EXEC dbo.usp_ssiscatalog @a='exec_pending',@show_docs_only=1; EXEC dbo.usp_ssiscatalog @a='exec_ended_unexpectedly',@show_docs_only=1; EXEC dbo.usp_ssiscatalog @a='exec_succeeded',@show_docs_only=1; EXEC dbo.usp_ssiscatalog @a='exec_stopping',@show_docs_only=1; EXEC dbo.usp_ssiscatalog @a='exec_completed',@show_docs_only=1; I hope that comes in useful for you sometime. Have fun exploring the documentation on usp_ssiscatalog. If you think the documentation can be improved please do let me know. @jamiet

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  • Oracle UCM Integration with WebCenter

    - by john.brunswick
    Portal deployments always contain some level of content that requires management. Like peanut butter and jelly, the ying and yang, they are inseparable. Unfortunately, unlike peanut butter and jelly content and portals usually require that an extensive amount of work be completed to create a seamless experience for end users who will be serviced by the portal, as well as for users who will be contributing and managing the content. With WebCenter Suite Oracle has understood this need and addressed it by including Universal Content Management (UCM, formerly Stellent) licensing to allow content to be delivered into the portal from a mature, class-leading content management technology. To unlock the most value from this content technology, WebCenter portal technology can leverage a series of integration strategies available through its open standards support, as well as a series of native components to enable content consumption from UCM. This have been done to enable IT teams to reduce solution deployment time and provide quick wins to their business stakeholders. The ongoing cost of ownership for the solution is also greatly reduced through these various integrations. Within this post we will explore various ways in which the content can be Contributed through out of the box interfaces Displayed natively within the portal (configuration) Exposed programmatically (development) The information below showcases how to quickly take advantage of WebCenter's marriage of content and portal technologies, then leverage various programmatic integrations available with UCM.

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  • CRM@Oracle Series: Web Marketing Integration

    - by tony.berk
    Who is visiting your website? How did they get there? Was it from a search engine? Email campaign? Are they downloading whitepapers, datasheets, presentations, software? Are they interested in attending one of your marketing events? Are you capturing these leads or which marketing campaign generated the lead? There are a lot of questions related to traffic on a website, and the answers to those questions can be found in your CRM system. Visitors who download marketing collateral are potential leads, so it is important to capture who they are, how they got there, where they went on the website and what they are looking for. Today's CRM@Oracle slidecast discusses how Oracle uses Siebel CRM to plan and execute marketing campaigns on our website, www.oracle.com, and capture the key information about who is downloading content or interested in attending one of our marketing events. The responses are captured, qualified, and if appropriate, a lead is generated. It all happens in Siebel CRM. CRM@Oracle Series: Web Marketing Integration Click here to learn more about Oracle CRM products and here to learn about other customers using Oracle CRM. Are you enjoying the CRM@Oracle Series? If you have a particular CRM area or function which you'd like to hear how Oracle implemented it internally, leave us a comment and we'll try to get it on our list.

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  • Continuous Integration using Docker

    - by Leon Mergen
    One of the main advantages of Docker is the isolated environment it brings, and I want to leverage that advantage in my continuous integration workflow. A "normal" CI workflow goes something like this: Poll repository for changes Pull from repository Install dependencies Run tests In a Dockerized workflow, it would be something like this: Poll repository for changes Pull from repository Build docker image Run docker image as container Run tests Kill docker container My problem is with the "run tests" step: since Docker is an isolated environment, intuitively I would like to treat it as one; this means the preferred method of communication are sockets. However, this only works well in certain situations (a webapp, for example). When testing different kind of services (for example, a background service that only communicated with a database), a different approach would be required. What is the best way to approach this problem? Is it a problem with my application's design, and should I design it in a more TDD, service-oriented way that always listens on some socket? Or should I just give up on isolation, and do something like this: Poll repository for changes Pull from repository Build docker image Run docker image as container Open SSH session into container Run tests Kill docker container SSH'ing into the container seems like an ugly solution to me, since it requires deep knowledge of the contents of the container, and thus break the isolation. I would love to hear SO's different approaches to this problem.

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  • Distributed and/or Parallel SSIS processing

    - by Jeff
    Background: Our company hosts SaaS DSS applications, where clients provide us data Daily and/or Weekly, which we process & merge into their existing database. During business hours, load in the servers are pretty minimal as it's mostly users running simple pre-defined queries via the website, or running drill-through reports that mostly hit the SSAS OLAP cube. I manage the IT Operations Team, and so far this has presented an interesting "scaling" issue for us. For our daily-refreshed clients, the server is only "busy" for about 4-6 hrs at night. For our weekly-refresh clients, the server is only "busy" for maybe 8-10 hrs per week! We've done our best to use some simple methods of distributing the load by spreading the daily clients evenly among the servers such that we're not trying to process daily clients back-to-back over night. But long-term this scaling strategy creates two notable issues. First, it's going to consume a pretty immense amount of hardware that sits idle for large periods of time. Second, it takes significant Production Support over-head to basically "schedule" the ETL such that they don't over-lap, and move clients/schedules around if they out-grow the resources on a particular server or allocated time-slot. As the title would imply, one option we've tried is running multiple SSIS packages in parallel, but in most cases this has yielded VERY inconsistent results. The most common failures are DTExec, SQL, and SSAS fighting for physical memory and throwing out-of-memory errors, and ETLs running 3,4,5x longer than expected. So from my practical experience thus far, it seems like running multiple ETL packages on the same hardware isn't a good idea, but I can't be the first person that doesn't want to scale multiple ETLs around manual scheduling, and sequential processing. One option we've considered is virtualizing the servers, which obviously doesn't give you any additional resources, but moves the resource contention onto the hypervisor, which (from my experience) seems to manage simultaneous CPU/RAM/Disk I/O a little more gracefully than letting DTExec, SQL, and SSAS battle it out within Windows. Question to the forum: So my question to the forum is, are we missing something obvious here? Are there tools out there that can help manage running multiple SSIS packages on the same hardware? Would it be more "efficient" in terms of parallel execution if instead of running DTExec, SQL, and SSAS same machine (with every machine running that configuration), we run in pairs of three machines with SSIS running on one machine, SQL on another, and SSAS on a third? Obviously that would only make sense if we could process more than the three ETL we were able to process on the machine independently. Another option we've considered is completely re-architecting our SSIS package to have one "master" package for all clients that attempts to intelligently chose a server based off how "busy" it already is in terms of CPU/Memory/Disk utilization, but that would be a herculean effort, and seems like we're trying to reinvent something that you would think someone would sell (although I haven't had any luck finding it). So in summary, are we missing an obvious solution for this, and does anyone know if any tools (for free or for purchase, doesn't matter) that facilitate running multiple SSIS ETL packages in parallel and on multiple servers? (What I would call a "queue & node based" system, but that's not an official term). Ultimately VMWare's Distributed Resource Scheduler addresses this as you simply run a consistent number of clients per VM that you know will never conflict scheduleing-wise, then leave it up to VMWare to move the VMs around to balance out hardware usage. I'm definitely not against using VMWare to do this, but since we're a 100% Microsoft app stack, it seems like -someone- out there would have solved this problem at the application layer instead of the hypervisor layer by checking on resource utilization at the OS, SQL, SSAS levels. I'm open to ANY discussion on this, and remember no suggestion is too crazy or radical! :-) Right now, VMWare is the only option we've found to get away from "manually" balancing our resources, so any suggestions that leave us on a pure Microsoft stack would be great. Thanks guys, Jeff

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  • “Cloud Integration in Minutes” – True or False?

    - by Bruce Tierney
    The short answer is “yes”. Connecting on-premise and cloud applications “in minutes” is true…provided you only consider the connectivity subset of integration and have a small number of cloud integration touch points. At the recent Gartner AADI conference, 230 attendees filled up the Oracle session to get a more comprehensive answer to this question. During the session, titled “Simplifying Integration – The Cloud & Mobile Pre-requisite”, Oracle’s Tim Hall described cloud connectivity and then, equally importantly, the other essential and sometimes overlooked aspects of integration required to ensure a long term application and service integration strategy. To understand the challenges and opportunities faced by cloud integration, the session started off with a slide that describes how connectivity can quickly transition from simplicity to complexity as the number of applications and service vendor instances grows: Increased complexity puts increased demand on the integration platform As companies expand from on-premise applications into a hybrid on-premise/cloud infrastructure with support for mobile, cloud, and social, there is a new sense of urgency to implement a unified and comprehensive service integration platform. Without getting this unified platform in place, companies face increased complexity and cost managing a growing patchwork of niche integration toolsets as well as the disparate standards mandated by each SaaS vendor as shown in the image below: dddddddddddddddddddd Incomplete and overlapping offerings from a patchwork of niche vendors Also at Gartner AADI, Oracle SOA Suite customer Geeta Pyne, Director of Middleware at BMC presented their successful strategy on how BMC efficiently manages their cloud integration despite disparate requirements from each vendor. From one of Geeta’s slide: Interfaces are dictated by SaaS vendors; wide variety (SOAP, REST, Socket, HTTP/POX, SFTP); Flexibility of Oracle Service Bus/SOA Suite helps to support Every vendor has their way to handle Security; WS-Security, Custom Header; Support in Oracle Service Bus helps to adhere to disparate requirements At BMC, the flexibility of Oracle Service Bus and Oracle SOA Suite allowed them to support the wide variation in the functional requirements as mandated by their SaaS vendors. In contrast to the patchwork platform approach of escalating complexity from overlapping SaaS toolkits, Oracle’s strategy is to provide a unified platform to support disparate requirements from your SaaS vendors, on-premise apps, legacy apps, and more. Furthermore, Oracle SOA Suite includes the many aspects of comprehensive integration beyond basic connectivity including orchestration, analytics (BAM, events…), service virtualization and more in a single unified interface. Oracle SOA Suite – Unified and comprehensive To summarize, yes you can achieve “cloud integration in minutes” when considering the connectivity subset of integration but be sure to look for ways to simplify as you consider a more comprehensive view of integration beyond basic connectivity such as service virtualization, management, event processing and more. And finally, be sure your integration platform has the deep flexibility to handle the requirements of all your future SaaS applications…many of which are unknown to you now.

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