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  • Building Simple Workflows in Oozie

    - by dan.mcclary
    Introduction More often than not, data doesn't come packaged exactly as we'd like it for analysis. Transformation, match-merge operations, and a host of data munging tasks are usually needed before we can extract insights from our Big Data sources. Few people find data munging exciting, but it has to be done. Once we've suffered that boredom, we should take steps to automate the process. We want codify our work into repeatable units and create workflows which we can leverage over and over again without having to write new code. In this article, we'll look at how to use Oozie to create a workflow for the parallel machine learning task I described on Cloudera's site. Hive Actions: Prepping for Pig In my parallel machine learning article, I use data from the National Climatic Data Center to build weather models on a state-by-state basis. NCDC makes the data freely available as gzipped files of day-over-day observations stretching from the 1930s to today. In reading that post, one might get the impression that the data came in a handy, ready-to-model files with convenient delimiters. The truth of it is that I need to perform some parsing and projection on the dataset before it can be modeled. If I get more observations, I'll want to retrain and test those models, which will require more parsing and projection. This is a good opportunity to start building up a workflow with Oozie. I store the data from the NCDC in HDFS and create an external Hive table partitioned by year. This gives me flexibility of Hive's query language when I want it, but let's me put the dataset in a directory of my choosing in case I want to treat the same data with Pig or MapReduce code. CREATE EXTERNAL TABLE IF NOT EXISTS historic_weather(column 1, column2) PARTITIONED BY (yr string) STORED AS ... LOCATION '/user/oracle/weather/historic'; As new weather data comes in from NCDC, I'll need to add partitions to my table. That's an action I should put in the workflow. Similarly, the weather data requires parsing in order to be useful as a set of columns. Because of their long history, the weather data is broken up into fields of specific byte lengths: x bytes for the station ID, y bytes for the dew point, and so on. The delimiting is consistent from year to year, so writing SerDe or a parser for transformation is simple. Once that's done, I want to select columns on which to train, classify certain features, and place the training data in an HDFS directory for my Pig script to access. ALTER TABLE historic_weather ADD IF NOT EXISTS PARTITION (yr='2010') LOCATION '/user/oracle/weather/historic/yr=2011'; INSERT OVERWRITE DIRECTORY '/user/oracle/weather/cleaned_history' SELECT w.stn, w.wban, w.weather_year, w.weather_month, w.weather_day, w.temp, w.dewp, w.weather FROM ( FROM historic_weather SELECT TRANSFORM(...) USING '/path/to/hive/filters/ncdc_parser.py' as stn, wban, weather_year, weather_month, weather_day, temp, dewp, weather ) w; Since I'm going to prepare training directories with at least the same frequency that I add partitions, I should also add that to my workflow. Oozie is going to invoke these Hive actions using what's somewhat obviously referred to as a Hive action. Hive actions amount to Oozie running a script file containing our query language statements, so we can place them in a file called weather_train.hql. Starting Our Workflow Oozie offers two types of jobs: workflows and coordinator jobs. Workflows are straightforward: they define a set of actions to perform as a sequence or directed acyclic graph. Coordinator jobs can take all the same actions of Workflow jobs, but they can be automatically started either periodically or when new data arrives in a specified location. To keep things simple we'll make a workflow job; coordinator jobs simply require another XML file for scheduling. The bare minimum for workflow XML defines a name, a starting point, and an end point: <workflow-app name="WeatherMan" xmlns="uri:oozie:workflow:0.1"> <start to="ParseNCDCData"/> <end name="end"/> </workflow-app> To this we need to add an action, and within that we'll specify the hive parameters Also, keep in mind that actions require <ok> and <error> tags to direct the next action on success or failure. <action name="ParseNCDCData"> <hive xmlns="uri:oozie:hive-action:0.2"> <job-tracker>localhost:8021</job-tracker> <name-node>localhost:8020</name-node> <configuration> <property> <name>oozie.hive.defaults</name> <value>/user/oracle/weather_ooze/hive-default.xml</value> </property> </configuration> <script>ncdc_parse.hql</script> </hive> <ok to="WeatherMan"/> <error to="end"/> </action> There are a couple of things to note here: I have to give the FQDN (or IP) and port of my JobTracker and NameNode. I have to include a hive-default.xml file. I have to include a script file. The hive-default.xml and script file must be stored in HDFS That last point is particularly important. Oozie doesn't make assumptions about where a given workflow is being run. You might submit workflows against different clusters, or have different hive-defaults.xml on different clusters (e.g. MySQL or Postgres-backed metastores). A quick way to ensure that all the assets end up in the right place in HDFS is just to make a working directory locally, build your workflow.xml in it, and copy the assets you'll need to it as you add actions to workflow.xml. At this point, our local directory should contain: workflow.xml hive-defaults.xml (make sure this file contains your metastore connection data) ncdc_parse.hql Adding Pig to the Ooze Adding our Pig script as an action is slightly simpler from an XML standpoint. All we do is add an action to workflow.xml as follows: <action name="WeatherMan"> <pig> <job-tracker>localhost:8021</job-tracker> <name-node>localhost:8020</name-node> <script>weather_train.pig</script> </pig> <ok to="end"/> <error to="end"/> </action> Once we've done this, we'll copy weather_train.pig to our working directory. However, there's a bit of a "gotcha" here. My pig script registers the Weka Jar and a chunk of jython. If those aren't also in HDFS, our action will fail from the outset -- but where do we put them? The Jython script goes into the working directory at the same level as the pig script, because pig attempts to load Jython files in the directory from which the script executes. However, that's not where our Weka jar goes. While Oozie doesn't assume much, it does make an assumption about the Pig classpath. Anything under working_directory/lib gets automatically added to the Pig classpath and no longer requires a REGISTER statement in the script. Anything that uses a REGISTER statement cannot be in the working_directory/lib directory. Instead, it needs to be in a different HDFS directory and attached to the pig action with an <archive> tag. Yes, that's as confusing as you think it is. You can get the exact rules for adding Jars to the distributed cache from Oozie's Pig Cookbook. Making the Workflow Work We've got a workflow defined and have collected all the components we'll need to run. But we can't run anything yet, because we still have to define some properties about the job and submit it to Oozie. We need to start with the job properties, as this is essentially the "request" we'll submit to the Oozie server. In the same working directory, we'll make a file called job.properties as follows: nameNode=hdfs://localhost:8020 jobTracker=localhost:8021 queueName=default weatherRoot=weather_ooze mapreduce.jobtracker.kerberos.principal=foo dfs.namenode.kerberos.principal=foo oozie.libpath=${nameNode}/user/oozie/share/lib oozie.wf.application.path=${nameNode}/user/${user.name}/${weatherRoot} outputDir=weather-ooze While some of the pieces of the properties file are familiar (e.g., JobTracker address), others take a bit of explaining. The first is weatherRoot: this is essentially an environment variable for the script (as are jobTracker and queueName). We're simply using them to simplify the directives for the Oozie job. The oozie.libpath pieces is extremely important. This is a directory in HDFS which holds Oozie's shared libraries: a collection of Jars necessary for invoking Hive, Pig, and other actions. It's a good idea to make sure this has been installed and copied up to HDFS. The last two lines are straightforward: run the application defined by workflow.xml at the application path listed and write the output to the output directory. We're finally ready to submit our job! After all that work we only need to do a few more things: Validate our workflow.xml Copy our working directory to HDFS Submit our job to the Oozie server Run our workflow Let's do them in order. First validate the workflow: oozie validate workflow.xml Next, copy the working directory up to HDFS: hadoop fs -put working_dir /user/oracle/working_dir Now we submit the job to the Oozie server. We need to ensure that we've got the correct URL for the Oozie server, and we need to specify our job.properties file as an argument. oozie job -oozie http://url.to.oozie.server:port_number/ -config /path/to/working_dir/job.properties -submit We've submitted the job, but we don't see any activity on the JobTracker? All I got was this funny bit of output: 14-20120525161321-oozie-oracle This is because submitting a job to Oozie creates an entry for the job and places it in PREP status. What we got back, in essence, is a ticket for our workflow to ride the Oozie train. We're responsible for redeeming our ticket and running the job. oozie -oozie http://url.to.oozie.server:port_number/ -start 14-20120525161321-oozie-oracle Of course, if we really want to run the job from the outset, we can change the "-submit" argument above to "-run." This will prep and run the workflow immediately. Takeaway So, there you have it: the somewhat laborious process of building an Oozie workflow. It's a bit tedious the first time out, but it does present a pair of real benefits to those of us who spend a great deal of time data munging. First, when new data arrives that requires the same processing, we already have the workflow defined and ready to run. Second, as we build up a set of useful action definitions over time, creating new workflows becomes quicker and quicker.

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  • Much Ado About Nothing: Stub Objects

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

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  • Build a custom Ubuntu based distribution

    - by user51447
    I am working on making a custom Ubuntu 11.10 based distro.(64 bit) I am adding non open source packages, replacing packages, changed user interface from Unity to GNOME, and more changes. My system is ready, and I want to create a redistributable image for my distro. When you go to system settings - system info, you see a logo with the Ubuntu name and logo, but I want to change it to the name and logo of my distro. Also, in the boot menu, I want to change the boot entry names, and the GRUB background. And I want to change the name Ubuntu from every possible location. Also, I will be sharing it with people, so I want to make my own software repositories, like linux mint has, or any other distro has, I will purchase server space for that. Also, the I want to customize the wubi installer like linux mint did and if some uses the customized tool to install my distro from Windows, they should see the name of my distro in add or remove programs page. Any help will be appreciated!

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  • Simple Scripting for your Exalogic Storage

    - by Trond Strømme
    As part of my job in Oracle ACS (Advanced Customer Services) I'm handling lots of different systems and customers. Among the recent systems I worked with have been Oracle's Exalogic engineered systems. One of the things I'd never had much exposure to as a system developer/architect/middleware guy/Java dude has been storage; outside of consuming it for my photography needs.. Well, I'm always ready for a new challenge... I'd downloaded the 7000 series storage simulator when it was released in the good old Sun days, found it fun and instructive to play around with, but as I never touched storage in any way (besides consuming it..) I forgot about it. A couple of years ago when I started working with Exalogic engineered systems it again came into light as an invaluable learning and testing tool for the embedded storage in an Exalogic;  Oracle's Sun ZFS Storage 7320 Appliance.  aaaanyway... I've been "booted" into a part-time role as the interim storage/system admin/middleware/Java guy for a client and found I needed to create the occasional report or summary or whatever.. of what's using the storage in the 7320 (as default configured for an Exalogic, 40T of disk in a mirrored configuration, yielding 18T of actual space.) Reading the nice documentation and some articles on the Oracle Technology Network I saw great possibilities with the embedded ECMAScript3/JavaScript engine in the 7000 series.  In my personal opinion anyone who's dealing with Exalogic administration, or exposed to any of the 7000 series of storage appliances and servers that Oracle offers should have a VirtualBox instance of it kicking around. For development and testing it's a fantastic tool. (It can save you from explaining (most) of the embarrassing FAILS you can do if you test something in a production system to your management...) So download, and install.  A small sidestep, if after firing up the 7000 series simulator in VirtualBox you've forgotten what it's IP address is, the following will sort you out if you log in directly via the running VirtualBox VM. So in my case I can ssh to 192.168.56.101 or point a browser to https://192.168.56.101:215 to log into the storage appliance. One simple way of executing a script on the 7320 is to ssh to the device and redirecting a file with the script in it to ssh. ssh [email protected] < myscript.js One question I got from my client and the people who will take over the systems was: "how can we see the quotas and allocations for all projects/shares in one easy go so we don't have to go navigating around in the BUI for all the hundreds of shares the 7320 is hosting just to check if anything is running dry?" Easy! JavaScript time, VirtualBox and emacs! //NOTE! this script is available 'as is' It has ben run on a couple of 7320's, (running 2010.08.17.3.0,1-1.25 & // 2011.04.24.1.0,1-1.8) a 7420 and the VB image, but I personally //offer no guarantee whatsoever that it won't make your server topple, catch fire or in any way go pear shaped.. //run at your own risk or learn from my code and or mistakes.. script run('cd /'); run('shares'); //get all projects: proj = list(); function spaceToGig(bytes){ return bytes/1073741824; //convert bytes to GB } function fullInPercent(quota, space_data){ tmp = (space_data/quota)*100; return tmp; } //print header, slightly good looking printf(" %s/%-15s %8s(GB) %7s(GB) %5s(GB) %7s(GB) %3s\n","Project", "Share","Quota","Ref", "Snap", "Total","%full"); printf("-------------------------------------------------------------------------------\n") //for each project, get all shares. check for quota and calculate percentage and human readable figures.. for (i=0;i<proj.length;i++){ run('select ' + proj[i]); //get all shares for a project var pshares = list(); //for each share get quota properties for (j=0;j<pshares.length;j++){ run('select ' + pshares[j]); quota = get('quota'); //properties associated with a share or inherited from a project spaceData = get('space_data'); spaceSnap = get('space_snapshots'); spaceTotal = get('space_total'); if(quota>0){ //has quota printf(" %s/%-15s \t%4.2fGB\t%.2fGB\t%.2fGB\t%.2fGB\t%5.2f%%\n",proj[i], pshares[j],spaceToGig(quota),spaceToGig(spaceData),spaceToGig(spaceSnap),spaceToGig(spaceTotal),fullInPercent(quota,spaceTotal)); }else{ //no quota printf(" %s/%-15s \t%8s\t%.2fGB\t%.2fGB\t%.2fGB\t%s\n",proj[i],pshares[j], "N/A", spaceToGig(spaceData),spaceToGig(spaceSnap),spaceToGig(spaceTotal),"N/A"); } run('cd ..'); } run('done'); } The resulting output should look something like this: Project/Share Quota(GB) Ref(GB) Snap(GB) Total(GB) %full ------------------------------------------------------------------------------- ACSExalogicSystem/domains N/A 0.04GB 0.00GB 0.04GB N/A ACSExalogicSystem/logs N/A 0.01GB 0.00GB 0.01GB N/A ACSExalogicSystem/nodemgrs N/A 0.00GB 0.00GB 0.00GB N/A ACSExalogicSystem/stores N/A 0.04GB 0.00GB 0.04GB N/A ***_dev/FMW_***_1 133GB 4.24GB 0.01GB 4.25GB 3.19% ***_dev/FMW_***_2 N/A 4.25GB 0.01GB 4.26GB N/A ***_dev/applications 10GB 0.00GB 0.00GB 0.00GB 0.00% ***_dev/domains 50GB 10.75GB 3.55GB 14.30GB 28.61% ***_dev/logs 20GB 0.32GB 0.01GB 0.33GB 1.66% ***_dev/softwaredepot 20GB 4.15GB 0.00GB 4.15GB 20.73% ***_dev/stores 20GB 0.01GB 0.00GB 0.01GB 0.05% ###_dev/FMW_###_1 400GB 17.63GB 0.12GB 17.75GB 4.44% ###_dev/applications N/A 0.00GB 0.00GB 0.00GB N/A ###_dev/domains 120GB 14.21GB 5.53GB 19.74GB 16.45% ###_dev/logs 15GB 0.00GB 0.00GB 0.00GB 0.00% ###_dev/softwaredepot 250GB 73.55GB 0.02GB 73.57GB 29.43% …snip My apologies if the output is a bit mis-aligned here and there, I only bothered making it look good, not perfect :/ I also removed some of the project names (*,#)

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  • Looking for a simple to use email server that can be programmatically (preferably remotely) used

    - by sr2222
    I've been poking around the internet for much of the day, but I can't seem to find a good server to fit my needs. What I need is a simple to use and deploy (pref open source) lightweight email server that I can create users on programmaticly that has IMAP or POP support. I'd prefer something with an existing service interface, but if I have to write a REST API on top of an easy to use API, that's acceptable. The purpose of this tool will be to allow a test automation framework to create new email accounts and retrieve email sent to those addresses. I need text, html, and possibly attachment support as well. Perhaps it's my noobishness, but I can't really suss out the details from the documentation on the servers available out there to figure out which fit my needs.

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  • How to force VS 2010 to skip "builds" of projects which haven't changed?

    - by Ladislav Mrnka
    Our product's solution has more than 100+ projects (500+ksloc of production code). Most of them are C# projects but we also have few using C++/CLI to bridge communication with native code. Rebuilding the whole solution takes several minutes. That's fine. If I want to rebuilt the solution I expect that it will really take some time. What is not fine is time needed to build solution after full rebuild. Imagine I used full rebuild and know without doing any changes to to the solution I press Build (F6 or Ctrl+Shift+B). Why it takes 35s if there was no change? In output I see that it started "building" of each project - it doesn't perform real build but it does something which consumes significant amount of time. That 35s delay is pain in the ass. Yes I can improve the time by not using build solution but only build project (Shift+F6). If I run build project on particular test project I'm currently working on it will take "only" 8+s. It requires me to run project build on correct project (the test project to ensure dependent tested code is build as well). At least ReSharper test runner correctly recognizes that only this single project must be build and rerunning test usually contains only 8+s compilation. My current coding Kata is: don't touch Ctrl+Shift+B. The test project build will take 8s even if I don't do any changes. The reason why it takes 8s is because it also "builds" dependencies = in my case it "builds" more than 20 projects but I made changes only to unit test or single dependency! I don't want it to touch other projects. Is there a way to simply tell VS to build only projects where some changes were done and projects which are dependent on changed ones (preferably this part as another build option)? I worry you will tell me that it is exactly what VS is doing but in MS way ... I want to improve my TDD experience and reduce the time of compilation (in TDD the compilation can happen twice per minute). To make this even more frustrated I'm working in a team where most of developers used to work on Java projects prior to joining this one. So you can imagine how they are pissed off when they must use VS in contrast to full incremental compilation in Java. I don't require incremental compilation of classes. I expect working incremental compilation of solutions. Especially in product like VS 2010 Ultimate which costs several thousands dollars. I really don't want to get answers like: Make a separate solution Unload projects you don't need etc. I can read those answers here. Those are not acceptable solutions. We're not paying for VS to do such compromises.

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  • Java Developers: Is Ant still in the "main stream" for builds? Do we push new developers to learn it?

    - by Sam Goldberg
    We have been slowly replacing batch command files (windows .bat) which were simply jarring up the classes compiled in the developers IDE, with more comprehensive Ant builds (i.e. get from CVS, clean compile, jar, archive, email, etc.) I've spent a lot of time learning (and debugging issues) with Ant, so I'm most comfortable using it for these tasks. But I wonder if Ant is still in as wide usage as it was when I first started learning, or whether "the world has moved on" to something newer (and maybe slicker). (I've started to see more Maven build stuff distributed, which I've never used, for example.) The practical import of this question, is whether I push new developers to learn Ant, or whether they should be learning something else for builds? I'm never too on top of the trends, so it would be great to hear from other Java developers what they think is the best build tool, and what they think new developers should be learning.

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  • how to set BUILD_MAC_SDK_EXPERIMENTAL=1 on Mac 10.7?

    - by Nguyen Minh Binh
    I am building Android OS source on Mac 10.7 follow instructions at: http://source.android.com/source/building.html. Below are the error code when I try to run lunch full-eng BinhNguyens-MacBook:WORKING_DIRECTORY CuongLy$ lunch full-eng 2012-10-04 14:02:58.544 xcodebuild[645:80b] XcodeColors: load (v10.1) 2012-10-04 14:02:58.560 xcodebuild[645:80b] XcodeColors: pluginDidLoad: build/core/combo/HOST_darwin-x86.mk:62: ***************************** build/core/combo/HOST_darwin-x86.mk:63: * Can not find SDK 10.6 at /Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX10.6.sdk build/core/combo/HOST_darwin-x86.mk:65: * If you wish to build using higher version of SDK, build/core/combo/HOST_darwin-x86.mk:66: * try setting BUILD_MAC_SDK_EXPERIMENTAL=1 before build/core/combo/HOST_darwin-x86.mk:67: * rerunning this command build/core/combo/HOST_darwin-x86.mk:69: ***************************** build/core/combo/HOST_darwin-x86.mk:70: * Stop.. Stop. Please tell me how to set BUILD_MAC_SDK_EXPERIMENTAL=1 ?

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  • How do you fix "Too many open files" problem in Hudson?

    - by Randyaa
    We use Hudson as a continuous integration system to execute automated builds (nightly and based on CVS polling) of a lot of our projects. Some projects poll CVS every 15 minutes, some others poll every 5 minutes and some poll every hour. Every few weeks we'll get a build that fails with the following output: FATAL: java.io.IOException: Too many open files java.io.IOException: java.io.IOException: Too many open files at java.lang.UNIXProcess.<init>(UNIXProcess.java:148) The next build always worked (with 0 changes) so we always chalked it up to 2 build jobs being run at the same time and happening to have too many files open during the process. This weekend we had a build fail Friday night (automatic nightly build) with the message and every other nightly build also failed. Somehow this triggered Hudson to continuously build every project which failed until the issue was resolved. This resulted in a build every 30 minutes or so of every project until sometime Saturday night when the issue magically disappeared.

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  • Simple step by step process to import MS Access data into SQL Server using SSIS

    Sometimes we need to import information from MS Access. We could use the Microsoft SQL Server Migration Assistant, but sometimes we need to add custom transformations and it is necessary to use more sophisticated tools. In this tip, we are going to walk through step by step how to migrate a MS Access table to SQL Server using SQL Server Integration Services (SSIS). What are your servers really trying to tell you? Find out with new SQL Monitor 3.0, an easy-to-use tool built for no-nonsense database professionals.For effortless insights into SQL Server, download a free trial today.

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  • ojspc always returns 0 on errors

    - by Matt McCormick
    In my Ant build.xml file, I am trying to compile JSPs using ojspc. The files are being compiled, however, the build process is still running to completion when the JSP compilation has errors. This is part of my build.xml: <java fork="true" jar="${env.ORACLE_HOME}\j2ee\home\ojspc.jar" resultproperty="result"> <jvmarg value="-Djava.compiler=NONE"/> <arg value="-extend"/> <arg value="com.orionserver.http.OrionHttpJspPage"/> <arg value="-batchMask"/> <arg value="*.jsp"/> <arg value="${target-directory}/build/target/ear/${module-dir-name}-jsp.war"/> </java> <echo level="info">Result Property: ${result}</echo> I have tried setting the property failonerror="true" but that does not change anything. I receive the following output: [java] Detected archive, now processing contents of ../build/target/ear/web-module-jsp.war... [java] Setting up temp area... [java] Expanding archive in temp area... [java] C:\DOCUME~1\MMCCOR~1\LOCALS~1\Temp\tmp12940\_web_2d_inf\_jsp\_password.java:60: cannot resolve symbol [java] symbol : variable reqvst [java] location: class _web_2d_inf._jsp._password [java] out.print(reqvst.getAttribute("test")); [java] ^ [java] 1 error [java] Creating D:\eclipse-workspace\jdw\build\..\build\target\ear\web-module-jsp.war ... [java] Removing temp area... [echo] Result Property: 0 ...(more commands) BUILD SUCCESSFUL In the password.jsp file, I intentionally introduced an error to test. How can I get the build to fail on an error? At the Ant Java page, I am confused by: By default the return code of a is ignored. Alternatively, you can set resultproperty to the name of a property and have it assigned to the result code (barring immutability, of course). When you set failonerror="true", the only possible value for resultproperty is 0. Any non-zero response is treated as an error and would mean the build exits.

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  • Simple script - execute command on selected file

    - by askmoo
    I want to make a script that will execute .jar file on selected file. Later I will add that script to right-click menu via the tool Nautilus Actions or just place it into nautilus-scripts folder. I have a problem creating script. When I am in a usual console screen and want to execute this jar file on any other file, I use this syntax myfile.jar ./someotherfile.xml and the jar file will write the output to the console screen. So I created a file script.sh, added lines in it #!/bin/bash /home/username/myfile.jar $1 But it does not output anything. I know I am doing something wrong. Please help. To sum, I need a script that will use selected file as a parameter, open the gnome-terminal, inside that terminal it will start JAR file and pass it the selected file. I am confident that this is a very simple procedure, but I am total newbie with shell scripting.

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  • Build graph of dependencies (calls) in javascript [on hold]

    - by Maximus
    I'm new to a project and I see that everything is so interwoven that small changes here makes stuff break there. I'd like to refactor it and separate into modules. For that I'm going to need a tool that can build a graph of dependencies (calls) to visualize the connections. There are many tools like that for languages like C#, but I've found little information about the available tools for JavaScript. Has anyone done something like this? What tools have you used?

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  • How can I copy files in the middle of a build in Team System?

    - by Dana
    I have two solutions that I want to include in a build. Solution two requires the dll's from solution one to successfully build. Solution two has a Binaries folder where the dll's from solution one need to be copied before building Solution two. I've been trying an AfterBuild Target, hoping that it would copy the items after the first SolutionToBuild, but it doesn't fire then. I'm guessing that it would probably fire after both solutions have compiled, but that's not what I want. <SolutionToBuild Include="$(BuildProjectFolderPath)/../../Main/Framework.sln"> <Targets>AfterCompileFramework</Targets> <Properties></Properties> </SolutionToBuild> <SolutionToBuild Include="$(BuildProjectFolderPath)/../../../Dashboard/Main/Dashboard.sln"> <Targets></Targets> <Properties></Properties> </SolutionToBuild> <ItemGroup> <FrameworkBinaries Include="$(DropLocation)\$(BuildNumber)\Release\Framework.*.dll"/> </ItemGroup> <Message Text="FrameworkBinaries: @(FrameworkBinaries)" Importance="high"/> <Copy SourceFiles="@(FrameworkBinaries)" DestinationFolder="$(BuildProjectFolderPath)/../../../Dashboard/Main/Binaries"/>

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  • TFS2010 Hangs “Waiting for Build Agent”

    - by Qpirate
    I have asked this question over on SO the link to the question is here but i am hoping this is a better place to ask it. I have 3 VM's each running the TFS Build Host Service 1 has 1 controller and 1 agent 2 have 2 Build Agents each. Most of the time (7\10 builds) it comes back with the following error message TF215097: An error occurred while initializing a build for build definition BUILD_DEFINITION: There was no endpoint listening at http://MACHINE1:9191/Build/v3.0/Services/Controller/14 that could accept the message. This is often caused by an incorrect address or SOAP action. See InnerException, if present, for more details. and there is no errors when i do get this message. the following is the config file that i have created <configuration> <appSettings> <add key="traceWriter" value="true"/> </appSettings> <system.diagnostics> <switches> <add name="BuildServiceTraceLevel" value="4"/> <add name="API" value="4"/> <add name="Authentication" value="4"/> <add name="Authorization" value="4"/> <add name="Database" value="4"/> <add name="General" value="4"/> <add name="traceLevel" value="4"/> </switches> <trace autoflush="true" indentsize="4"> <listeners> <add name="myListener" type="Microsoft.TeamFoundation.TeamFoundationTextWriterTraceListener,Microsoft.TeamFoundation.Common, Version=10.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a" initializeData="c:\logs\TFSBuildServiceHost.exe.log" /> <remove name="Default" /> </listeners> </trace> </system.diagnostics> </configuration> I do have my own custom activities in my build process but this does not seem to be a problem as sometimes the build actually does go. I have tried refreshing the template as some sites suggest. Has anyone come across a solution for this problem? or can anyone tell me how to catch these errors when they happen?

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  • Web Deployment Projects for VS2010 on build server failing with Error MSB4086

    - by SteveBering
    When I upgraded my Web Deployment Project from VS2008 to the VS2010 beta version, I was able to execute the build locally on my development box. However, when I tried to execute the build on our TeamCity build server, I began getting the following exception: C:\Program Files\MSBuild\Microsoft\WebDeployment\v10.0\Microsoft.WebDeployment.targets(162, 37): error MSB4086: A numeric comparison was attempted on "$(_SourceWebProjectPath.Length)" that evaluates to "" instead of a number, in condition "'$(_SourceWebProjectPath)' != '' And $(_SourceWebProjectPath.Length) >= 4)". I did install the Web Deployment Project addin on my build server and I did copy over the C:\Program Files (x86)\MSBuild\Microsoft\VisualStudio\v10.0\WebApplications directory on my development box to the C:\Program Files\MSBuild\Microsoft\VisualStudio\v10.0\ directory on the build server. Note: My dev box is 64bit and the build server 32bit. I can't figure out why this is behaving differently on the build server than on my dev machine. Anyone have any ideas? Thanks, Steve

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  • Build Pipelining and Continuous Integration with Maven and Hudson

    - by Brandon
    Currently the my team is considering splitting our single CI build process into a more streamlined multi-stage process to speed up basic build feedback and isolate different ci concerns. The idea we had was to have each stage exist in Hudson as a different build with the correct maven goal or maven plugin execution, then chain them together using the post-build hooks of Hudson. However to my knowledge, Maven as a build tool mandates that any lifecycle phase which is performed automatically builds every preceding lifecycle phase. This presents a number of problems the most significant of which is that maven is recreating the build resources with each distinct call and not using those of the previous stage. This not only breaks the consistency of the build lifecycle but has much more unnecessary processing overhead. Is there a way to accomplish pipelining with CI using Maven? Assuming there is, is there a way to let Hudson know to use those resources built from the previous stage in the next one?

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  • Normal Priority Builds Will Not Build in TFS 2010

    - by 37Stars
    I have two build processes setup in TFS 2010. One build starts when any developer checks code into TFS. The second build runs every night at 12:30am. I can see the builds have a priority of Normal in the queue. However no queued build ever is run until I change the priority to high. They will sit in the queue forever until the priority is changed. It appears there is a normal priority build in the queue that is stuck. However I cannot find it. I can select , , and and not see anything but these builds queued up. I can run them all and the next day I have queued builds again. I say this because I see the Build Service is configured for port 9192, which leads me to believe there is or was another Build Service on port 9191. Any idea how to resolve this issue? Thanks

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  • Simple Hack To Install iOS 5 Beta On iPhone/iPad Without Developer Account

    - by Gopinath
    Apple released iOS 5 beta couple of days ago with loads of new features(watch the keynote video) . This beta version of iOS is available to iPhone developers who pay Apple $99 per annum. What if you are not a developer or not willing to pay $99 for a developer account but desperately looking for ways to upgrade your iPhone to iOS 5? Here is a simple hack to install iOS 5 beta without having a developer account.   1. Download iOS 5 installer with the help of Google or Torrent sites 2. Manually update your iPhone with the help of iTunes. Connect your phone to computer -click on Update button with Shift (PC) or Option (Mac) key pressed — Select the downloaded iOS 5 IPSW file and let the iTunes update your iPhone. 3. After update completes you see Activation screen. 4. Triple click the home button. This will activate the Voice Over. Again triple click the home button and Emergency Call option will appear. 5. Click the Emergency Call option and while it’s opening, swipe your three fingers down to open Notification Center 6. Click on the Weather widget. The Weather application will load. 7. Click on the home button. Bam!! Your iPhone is loaded with iOS 5. Note: Upgrade iPhone to iOS 5 at your own risk. You can’t blame us if something goes wrong. I know that you are aware of the side effects in using the hacks, but just reminding you once again . via Gizmodo This article titled,Simple Hack To Install iOS 5 Beta On iPhone/iPad Without Developer Account, was originally published at Tech Dreams. Grab our rss feed or fan us on Facebook to get updates from us.

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  • Run simple bash script to start applications at login

    - by ganjan
    I want to run a simple bash script automatically when I log in. For example #!/bin/bash echo "start spotify" gnome-terminal -e spotify --title spotify When I run this command, one gnome-terminal shows up and spotify show up. I also want the gnome-terminal to popup "hidden" in a different virtual desktop. (one of the other four virtual desktops you can choose from taskbar) I tried to add this to /home/me/.bash_login or something, but that didn't work..

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  • Simple tips to design a Customer Journey Map

    - by Isabel F. Peñuelas
    “A model can abstract to a level that is comprehensible to humans, without getting lost in details.” -The Unified Modeling Language Reference Manual. Inception using Post-it, StoryBoards, Lego or Mindmaping Techniques The first step in a Customer Experience project is to describe customer interactions creating a customer journey map. Modeling is never easy, so to succeed on this effort, it is very convenient that your CX´s team have some “abstract thinking” skills. Besides is very helpful to consult a Business Service Design offered by an Interactive Agency to lead your inception process. Initially, you may start by a free discussion using post-it cards; storyboards; even lego or any other brainstorming technique you like. This will help you to get your mind into the path followed by the customer to purchase your product or to consume any business service you actually offer to your customers, or plan to offer in the near future. (from www.servicedesigntools.org) Colorful Mind Maps are very useful to document and share meeting ideas. Some Mind Maps software providers as ThinkBuzzan provide trial versions, and you will find more mindmapping options on this post by Mashable. Finally to produce a quick one, I do recommend Wise, an entirely online mindmaping service. On my view the best results in terms of communication will always come for an artistic hand-made drawing. Customer Experience Mind Map Example Making your first Customer Journey Map To add some more formalization to your thoughts, there is a wide offering for designing Customer Journey Maps. A Customer Map can be represented as an oriented graph in which another follows each step. The one below is the most simple Customer Journey you can draw. Nothing more than a couple of pictures, numbers and lines to design the customer steps sequence in the purchase process. Very simple Customer Journey for Social Mobile Shopping There are a lot of Customer Journey templates much more sophisticated available  in the Web using a variety of styles, as per example this one with a focus on underlining emotional experience, or this other worksheet template. Representing different interaction devices on the vertical axis, and touchpoints / requirements and existing gaps horizontally  is today´s most common format for Customer Journeys. From Customer Journey Maps to CX Technology Adoption Plans Once you have your map ready, you can start to identify the IT infrastructure requirements for your CXProject. By analyzing customer problems and improvement opportunities with maps, you will then identify the technology gaps and the new investment requirements in your IT infrastructure. Deeping step by step from the more abstract to the more concrete is the best guarantee to take the right IT investment decisions.  ¡Remember to keep your initial customer journey safe on your pocket in every one of your CX´s project meetings- that´s you map to success!

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  • Use BGInfo to Build a Database of System Information of Your Network Computers

    - by Sysadmin Geek
    One of the more popular tools of the Sysinternals suite among system administrators is BGInfo which tacks real-time system information to your desktop wallpaper when you first login. For obvious reasons, having information such as system memory, available hard drive space and system up time (among others) right in front of you is very convenient when you are managing several systems. A little known feature about this handy utility is the ability to have system information automatically saved to a SQL database or some other data file. With a few minutes of setup work you can easily configure BGInfo to record system information of all your network computers in a centralized storage location. You can then use this data to monitor or report on these systems however you see fit. BGInfo Setup If you are familiar with BGInfo, you can skip this section. However, if you have never used this tool, it takes just a few minutes to setup in order to capture the data you are looking for. When you first open BGInfo, a timer will be counting down in the upper right corner. Click the countdown button to keep the interface up so we can edit the settings. Now edit the information you want to capture from the available fields on the right. Since all the output will be redirected to a central location, don’t worry about configuring the layout or formatting. Configuring the Storage Database BGInfo supports the ability to store information in several database formats: SQL Server Database, Access Database, Excel and Text File. To configure this option, open File > Database. Using a Text File The simplest, and perhaps most practical, option is to store the BGInfo data in a comma separated text file. This format allows for the file to be opened in Excel or imported into a database. To use a text file or any other file system type (Excel or MS Access), simply provide the UNC to the respective file. The account running the task to write to this file will need read/write access to both the share and NTFS file permissions. When using a text file, the only option is to have BGInfo create a new entry each time the capture process is run which will add a new line to the respective CSV text file. Using a SQL Database If you prefer to have the data dropped straight into a SQL Server database, BGInfo support this as well. This requires a bit of additional configuration, but overall it is very easy. The first step is to create a database where the information will be stored. Additionally, you will want to create a user account to fill data into this table (and this table only). For your convenience, this script creates a new database and user account (run this as Administrator on your SQL Server machine): @SET Server=%ComputerName%.@SET Database=BGInfo@SET UserName=BGInfo@SET Password=passwordSQLCMD -S “%Server%” -E -Q “Create Database [%Database%]“SQLCMD -S “%Server%” -E -Q “Create Login [%UserName%] With Password=N’%Password%’, DEFAULT_DATABASE=[%Database%], CHECK_EXPIRATION=OFF, CHECK_POLICY=OFF”SQLCMD -S “%Server%” -E -d “%Database%” -Q “Create User [%UserName%] For Login [%UserName%]“SQLCMD -S “%Server%” -E -d “%Database%” -Q “EXEC sp_addrolemember N’db_owner’, N’%UserName%’” Note the SQL user account must have ‘db_owner’ permissions on the database in order for BGInfo to work correctly. This is why you should have a SQL user account specifically for this database. Next, configure BGInfo to connect to this database by clicking on the SQL button. Fill out the connection properties according to your database settings. Select the option of whether or not to only have one entry per computer or keep a history of each system. The data will then be dropped directly into a table named “BGInfoTable” in the respective database.   Configure User Desktop Options While the primary function of BGInfo is to alter the user’s desktop by adding system info as part of the wallpaper, for our use here we want to leave the user’s wallpaper alone so this process runs without altering any of the user’s settings. Click the Desktops button. Configure the Wallpaper modifications to not alter anything.   Preparing the Deployment Now we are all set for deploying the configuration to the individual machines so we can start capturing the system data. If you have not done so already, click the Apply button to create the first entry in your data repository. If all is configured correctly, you should be able to open your data file or database and see the entry for the respective machine. Now click the File > Save As menu option and save the configuration as “BGInfoCapture.bgi”.   Deploying to Client Machines Deployment to the respective client machines is pretty straightforward. No installation is required as you just need to copy the BGInfo.exe and the BGInfoCapture.bgi to each machine and place them in the same directory. Once in place, just run the command: BGInfo.exe BGInfoCapture.bgi /Timer:0 /Silent /NoLicPrompt Of course, you probably want to schedule the capture process to run on a schedule. This command creates a Scheduled Task to run the capture process at 8 AM every morning and assumes you copied the required files to the root of your C drive: SCHTASKS /Create /SC DAILY /ST 08:00 /TN “System Info” /TR “C:\BGInfo.exe C:\BGInfoCapture.bgi /Timer:0 /Silent /NoLicPrompt” Adjust as needed, but the end result is the scheduled task command should look something like this:   Download BGInfo from Sysinternals Latest Features How-To Geek ETC How To Create Your Own Custom ASCII Art from Any Image How To Process Camera Raw Without Paying for Adobe Photoshop How Do You Block Annoying Text Message (SMS) Spam? How to Use and Master the Notoriously Difficult Pen Tool in Photoshop HTG Explains: What Are the Differences Between All Those Audio Formats? 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  • SQL SERVER – Simple Explanation and Puzzle with SOUNDEX Function and DIFFERENCE Function

    - by pinaldave
    Earlier this week I asked a question where I asked how to Swap Values of the column without using CASE Statement. Read here: A Puzzle – Swap Value of Column Without Case Statement,there were more than 50 solutions proposed in the comment. There were many creative solutions. I have mentioned my personal favorite (different ones) here: Solution of Puzzle – Swap Value of Column Without Case Statement. However, I received lots of questions regarding one of the Solution by SIJIN KUMAR V P. He has used the function SOUNDEX in his solution. The request was to explain how SOUNDEX and DIFFERENCE works. Well, there are pretty decent documentations provided over here SOUNDEX function and DIFFERENCE over on MSDN and if I attempt to explain this function I will end up writing the same details which are available on MSDN. Instead of writing theory, we will try to learn this function by using a couple of simple puzzles. You try to solve the puzzles using the MSDN and see if you can learn something very quickly. In simple words - SOUNDEX converts an alphanumeric string to a four-character code to find similar-sounding words or names. The first character of the code is the first character of character_expression and the second through fourth characters of the code are numbers that represent the letters in the expression. Vowels incharacter_expression are ignored unless they are the first letter of the string. DIFFERENCE function returns an integer value. The  integer returned is the number of characters in the SOUNDEX values that are the same. The return value ranges from 0 through 4: 0 indicates weak or no similarity, and 4 indicates strong similarity or the same values. Learning Puzzle 1: Now let us run following four queries and observe its output. SELECT SOUNDEX('SQLAuthority') SdxValue SELECT SOUNDEX('SLTR') SdxValue SELECT SOUNDEX('SaLaTaRa') SdxValue SELECT SOUNDEX('SaLaTaRaM') SdxValue When you look at the result set all the four values are same. The reason for all the values to be same is as for SQL Server SOUNDEX function all the four strings are similarly sounding string. Learning Puzzle 2: Now let us run following five queries and observe its output. SELECT DIFFERENCE (SOUNDEX('SLTR'),SOUNDEX('SQLAuthority')) SELECT DIFFERENCE (SOUNDEX('TH'),SOUNDEX('SQLAuthority')) SELECT DIFFERENCE ('SQLAuthority',SOUNDEX('SQLAuthority')) SELECT DIFFERENCE ('SLTR',SOUNDEX('SQLAuthority')) SELECT DIFFERENCE ('SLTR','SQLAuthority') When you look at the result set you will get the result in the ranges from 1 to 4. Here is how it works if your result is 0 which means absolutely not relevant to each other and if your result is 1 which means the results are relevant to each other. Have you ever used above two functions in your business need or on production server? If yes, would you please leave a comment with use cases. I believe it will be beneficial to everyone. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Puzzle, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Talend vs. SSIS: A Simple Performance Comparison

    With all of the ETL tools in the marketplace, which one is best? Jeff Singleton brings us simple performance comparison pitting SSIS against open source powerhouse Talend. Optimize SQL Server performance“With SQL Monitor, we can be proactive in our optimization process, instead of waiting until a customer reports a problem,” John Trumbul, Sr. Software Engineer. Optimize your servers with a free trial.

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