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  • MySQL Exotic Storage Engines

    MySQL has an interesting architecture that allows you to plug in different modules to handle storage. What that means is that it's quite flexible, offering an interesting array of different storage engines with different features, strengths, and tradeoffs. Sean Hull presents some of the newest and more exotic storage engines, and even some that are still in development.

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  • MySQL Exotic Storage Engines

    MySQL has an interesting architecture that allows you to plug in different modules to handle storage. What that means is that it's quite flexible, offering an interesting array of different storage engines with different features, strengths, and tradeoffs. Sean Hull presents some of the newest and more exotic storage engines, and even some that are still in development.

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  • MySQL Exotic Storage Engines

    <b>Database Journal:</b> "MySQL has an interesting architecture that sets it apart from some other enterprise database systems. It allows you to plug in different modules to handle storage. What that means to end users is that it is quite flexible, offering an interesting array of different storage engines with different features, strengths, and tradeoffs."

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  • Using branchs for a mini project or module of project: Good practice?

    - by TheLQ
    In my repo I have 3 closely related mini projects: 1 server and 2 clients. They are all quite small (<3 files each). Since they are so small and so closely related I just dropped them in folders in one single repo. However now that I know I can't clone a single directory in my VCS of choice (Mercurial), I'm considering splitting them up. However I'm confused about general best practice: Is it okay to put different small projects in different branches, or should they all go in different repos? I'm currently leaning towards branching since I can't easily splice out the file history of the different projects but then your using a feature in a way it wasn't meant to be used.

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  • Parallelism implies concurrency but not the other way round right?

    - by Cedric Martin
    I often read that parallelism and concurrency are different things. Very often the answerers/commenters go as far as writing that they're two entirely different things. Yet in my view they're related but I'd like some clarification on that. For example if I'm on a multi-core CPU and manage to divide the computation into x smaller computation (say using fork/join) each running in its own thread, I'll have a program that is both doing parallel computation (because supposedly at any point in time several threads are going to run on several cores) and being concurrent right? While if I'm simply using, say, Java and dealing with UI events and repaints on the Event Dispatch Thread plus running the only thread I created myself, I'll have a program that is concurrent (EDT + GC thread + my main thread etc.) but not parallel. I'd like to know if I'm getting this right and if parallelism (on a "single but multi-cores" system) always implies concurrency or not? Also, are multi-threaded programs running on multi-cores CPU but where the different threads are doing totally different computation considered to be using "parallelism"?

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  • Combined Likelihood Models

    - by Lukas Vermeer
    In a series of posts on this blog we have already described a flexible approach to recording events, a technique to create analytical models for reporting, a method that uses the same principles to generate extremely powerful facet based predictions and a waterfall strategy that can be used to blend multiple (possibly facet based) models for increased accuracy. This latest, and also last, addition to this sequence of increasing modeling complexity will illustrate an advanced approach to amalgamate models, taking us to a whole new level of predictive modeling and analytical insights; combination models predicting likelihoods using multiple child models. The method described here is far from trivial. We therefore would not recommend you apply these techniques in an initial implementation of Oracle Real-Time Decisions. In most cases, basic RTD models or the approaches described before will provide more than enough predictive accuracy and analytical insight. The following is intended as an example of how more advanced models could be constructed if implementation results warrant the increased implementation and design effort. Keep implemented statistics simple! Combining likelihoods Because facet based predictions are based on metadata attributes of the choices selected, it is possible to generate such predictions for more than one attribute of a choice. We can predict the likelihood of acceptance for a particular product based on the product category (e.g. ‘toys’), as well as based on the color of the product (e.g. ‘pink’). Of course, these two predictions may be completely different (the customer may well prefer toys, but dislike pink products) and we will have to somehow combine these two separate predictions to determine an overall likelihood of acceptance for the choice. Perhaps the simplest way to combine multiple predicted likelihoods into one is to calculate the average (or perhaps maximum or minimum) likelihood. However, this would completely forgo the fact that some facets may have a far more pronounced effect on the overall likelihood than others (e.g. customers may consider the product category more important than its color). We could opt for calculating some sort of weighted average, but this would require us to specify up front the relative importance of the different facets involved. This approach would also be unresponsive to changing consumer behavior in these preferences (e.g. product price bracket may become more important to consumers as a result of economic shifts). Preferably, we would want Oracle Real-Time Decisions to learn, act upon and tell us about, the correlations between the different facet models and the overall likelihood of acceptance. This additional level of predictive modeling, where a single supermodel (no pun intended) combines the output of several (facet based) models into a single prediction, is what we call a combined likelihood model. Facet Based Scores As an example, we have implemented three different facet based models (as described earlier) in a simple RTD inline service. These models will allow us to generate predictions for likelihood of acceptance for each product based on three different metadata fields: Category, Price Bracket and Product Color. We will use an Analytical Scores entity to store these different scores so we can easily pass them between different functions. A simple function, creatively named Compute Analytical Scores, will compute for each choice the different facet scores and return an Analytical Scores entity that is stored on the choice itself. For each score, a choice attribute referring to this entity is also added to be returned to the client to facilitate testing. One Offer To Predict Them All In order to combine the different facet based predictions into one single likelihood for each product, we will need a supermodel which can predict the likelihood of acceptance, based on the outcomes of the facet models. This model will not need to consider any of the attributes of the session, because they are already represented in the outcomes of the underlying facet models. For the same reason, the supermodel will not need to learn separately for each product, because the specific combination of facets for this product are also already represented in the output of the underlying models. In other words, instead of learning how session attributes influence acceptance of a particular product, we will learn how the outcomes of facet based models for a particular product influence acceptance at a higher level. We will therefore be using a single All Offers choice to represent all offers in our combined likelihood predictions. This choice has no attribute values configured, no scores and not a single eligibility rule; nor is it ever intended to be returned to a client. The All Offers choice is to be used exclusively by the Combined Likelihood Acceptance model to predict the likelihood of acceptance for all choices; based solely on the output of the facet based models defined earlier. The Switcheroo In Oracle Real-Time Decisions, models can only learn based on attributes stored on the session. Therefore, just before generating a combined prediction for a given choice, we will temporarily copy the facet based scores—stored on the choice earlier as an Analytical Scores entity—to the session. The code for the Predict Combined Likelihood Event function is outlined below. // set session attribute to contain facet based scores. // (this is the only input for the combined model) session().setAnalyticalScores(choice.getAnalyticalScores); // predict likelihood of acceptance for All Offers choice. CombinedLikelihoodChoice c = CombinedLikelihood.getChoice("AllOffers"); Double la = CombinedLikelihoodAcceptance.getChoiceEventLikelihoods(c, "Accepted"); // clear session attribute of facet based scores. session().setAnalyticalScores(null); // return likelihood. return la; This sleight of hand will allow the Combined Likelihood Acceptance model to predict the likelihood of acceptance for the All Offers choice using these choice specific scores. After the prediction is made, we will clear the Analytical Scores session attribute to ensure it does not pollute any of the other (facet) models. To guarantee our combined likelihood model will learn based on the facet based scores—and is not distracted by the other session attributes—we will configure the model to exclude any other inputs, save for the instance of the Analytical Scores session attribute, on the model attributes tab. Recording Events In order for the combined likelihood model to learn correctly, we must ensure that the Analytical Scores session attribute is set correctly at the moment RTD records any events related to a particular choice. We apply essentially the same switching technique as before in a Record Combined Likelihood Event function. // set session attribute to contain facet based scores // (this is the only input for the combined model). session().setAnalyticalScores(choice.getAnalyticalScores); // record input event against All Offers choice. CombinedLikelihood.getChoice("AllOffers").recordEvent(event); // force learn at this moment using the Internal Dock entry point. Application.getPredictor().learn(InternalLearn.modelArray, session(), session(), Application.currentTimeMillis()); // clear session attribute of facet based scores. session().setAnalyticalScores(null); In this example, Internal Learn is a special informant configured as the learn location for the combined likelihood model. The informant itself has no particular configuration and does nothing in itself; it is used only to force the model to learn at the exact instant we have set the Analytical Scores session attribute to the correct values. Reporting Results After running a few thousand (artificially skewed) simulated sessions on our ILS, the Decision Center reporting shows some interesting results. In this case, these results reflect perfectly the bias we ourselves had introduced in our tests. In practice, we would obviously use a wider range of customer attributes and expect to see some more unexpected outcomes. The facetted model for categories has clearly picked up on the that fact our simulated youngsters have little interest in purchasing the one red-hot vehicle our ILS had on offer. Also, it would seem that customer age is an excellent predictor for the acceptance of pink products. Looking at the key drivers for the All Offers choice we can see the relative importance of the different facets to the prediction of overall likelihood. The comparative importance of the category facet for overall prediction might, in part, be explained by the clear preference of younger customers for toys over other product types; as evident from the report on the predictiveness of customer age for offer category acceptance. Conclusion Oracle Real-Time Decisions' flexible decisioning framework allows for the construction of exceptionally elaborate prediction models that facilitate powerful targeting, but nonetheless provide insightful reporting. Although few customers will have a direct need for such a sophisticated solution architecture, it is encouraging to see that this lies within the realm of the possible with RTD; and this with limited configuration and customization required. There are obviously numerous other ways in which the predictive and reporting capabilities of Oracle Real-Time Decisions can be expanded upon to tailor to individual customers needs. We will not be able to elaborate on them all on this blog; and finding the right approach for any given problem is often more difficult than implementing the solution. Nevertheless, we hope that these last few posts have given you enough of an understanding of the power of the RTD framework and its models; so that you can take some of these ideas and improve upon your own strategy. As always, if you have any questions about the above—or any Oracle Real-Time Decisions design challenges you might face—please do not hesitate to contact us; via the comments below, social media or directly at Oracle. We are completely multi-channel and would be more than glad to help. :-)

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  • Reflections from the Young Prisms

    - by Oracle OpenWorld Blog Team
     By Karen Shamban The Young Prisms began their musical journey in San Francisco, and it's here they return to bring their unique sound to the Oracle OpenWorld Music Festival.  We asked them to tell us their thoughts on music, performing, and what they like in an audience.  Here's what they had to say: Q. What do you like best about performing in front of a live audience?A. There are a lot of things to love about playing in front of people. The best part is definitely the nights when the energy the audience brings shows through. Although it always differs from city to city and person to person, when you play to a full house and people are really getting into it, it's like no other feeling.Q. How do you use technology in creating and delivering your music?A. Well, we actually use a lot more electronic components than people realize. Pretty much every string instrument played either live or on recording has been filtered through numerous electronic effects. Matt uses somewhere around 12 or 14 every time we play live. Giovanni has six. Most of our writing and demoing is done with drum sequencers and samplers too, so it's safe to say we use technology to our advantage in the writing process. Live is a bit different, since we keep it to the basics with guitars and acoustic drums. We also tend to use projections when we play live, so technology helps us do that fairly easily as well.Q. Do you prefer smaller, intimate venues or larger, louder ones?  Why?A. Couldn’t say we have a real preference in venue size. I mean, its always great to get to play through a massive killer sound system, but small venues when packed full are equally as special if not more so, because of the intimacy of it. Some of my favorite shows I've seen as an audience member/ fan have been at the smaller venues in San Francisco.Q. What about your fans surprises you?A. Sometimes the older guys are a surprise. We've played shows where there are more older guys in their 40s and 50s, who come and stare and take notes at our effects pedals. Then there are kids our age or in their 20s. Sometimes it's surprising to think that the older guys relate to what we're doing more than our peers and friends in our age group.Q. What about your live act surprises your fans?A. I think people are often surprised by how shy we can be. It feels like people expect us to be really rowdy and throw things and make really loud noises and get really aggressive on stage because some of the sounds we use can have an abrasive element to them. People expect Matt to have some kind of Kurt Cobain attitude, which he doesn’t at all. So it seems it surprises people to see musicians playing loud and noisy songs in their early and mid 20s being fairly tame and calm on stage.Q. There are going to be a lot of technical people (you could call them geeks) in the Oracle crowd -- what are they going to love about your performance?A. Hopefully most of them are pedal nerds like we are and like the previously mentioned “older dude crowd.” Besides that I hope they’d be into the projections and group of songs we're going to play for them.Q. What's new and different in the music you're making today, versus a year or two ago?A. I'd say there is more focus on the songwriting now and less of the noise today than last year. I think it's pretty evident on the new record compared to the last two. On the first two records we made as YP, we had another guitar player and songwriter who no longer plays with us. So the process in which we develop songs is different as well.Q. Have you been on tour recently? If so, what do you like about touring, and what do you dislike?A. Touring is amazing. Some people might tell you different if they've been doing it for what they'd call too long, but for us it's really a great chance to play for people who care about the music we're making and also to see and explore the world. Getting to visit so many different cities and explore so many different cultures is amazing. Of course we love getting into cultural foods too. Stefanie is a fashion geek so getting to go to New York as often as we do as well as getting to play in London and Paris is always especially fun for her.Q. Ever think about playing another kind of music? If so, what, and why?A. Never really thought about wanting to do anything drastically different. I think the style of music we play has a lot to do with the stuff we have been listening to both growing up and now. It wasn’t really a conscious decision to make sure it was a certain sound, so I'm not sure we've ever thought about doing a way different genre or whatever like electronic music or country. Although there have been times we've had conversations where we discuss possibly doing quiet sets or using the string synth sounds.Q. What are the top three things people should know about your music?A1. We like noise.A2. We use ambience and atmosphere as much as as we can.A3. Yes, the vocals are supposed to be mixed in with the guitars. Get more info: Oracle OpenWorld Music Festival Young Prisms

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  • what's the point of method overloading?

    - by David
    I am following a textbook in which I have just come across method overloading. It briefly described method overloading as: when the same method name is used with different parameters its called method overloading. From what I've learned so far in OOP is that if I want different behaviors from an object via methods, I should use different method names that best indicate the behavior, so why should I bother with method overloading in the first place?

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  • Mutating Programming Language?

    - by MattiasK
    For fun I was thinking about how one could build a programming language that differs from OOP and came up with this concept. I don't have a strong foundation in computer science so it might be common place without me knowing it (more likely it's just a stupid idea :) I apologize in advance for this somewhat rambling question :) Anyways here goes: In normal OOP methods and classes are variant only upon parameters, meaning if two different classes/methods call the same method they get the same output. My, perhaps crazy idea, is that the calling method and class could be an "invisible" part of it's signature and the response could vary depending on who call's an method. Say that we have a Window object with a Break() method, now anyone (who has access) could call this method on Window with the same result. Now say that we have two different objects, Hammer and SledgeHammer. If Break need to produce different results based on these we'd pass them as parameters Break(IBluntObject bluntObject) With a mutating programming language (mpl) the operating objects on the method would be visible to the Break Method without begin explicitly defined and it could adopt itself based on them). So if SledgeHammer calls Window.Break() it would generate vastly different results than if Hammer did so. If OOP classes are black boxes then MPL are black boxes that knows who's (trying) to push it's buttons and can adapt accordingly. You could also have different permission sets on methods depending who's calling them rather than having absolute permissions like public and private. Does this have any advantage over OOP? Or perhaps I should say, would it add anything to it since you should be able to simply add this aspect to methods (just give access to a CallingMethod and CallingClass variable in context) I'm not sure, might be to hard to wrap one's head around, it would be kinda interesting to have classes that adopted themselves to who uses them though. Still it's an interesting concept, what do you think, is it viable?

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  • Browser testing - Ideas on how to tackle it efficiently

    - by Rob
    Browser testing, the bane of any web designers life! Are there any tools and/or ways in which I can efficiently test different browsers on both Mac and PC? I not only want to test different browsers but also different versions of each browser. My current setup is on a Mac running VirtualBox with Windows Vista installed. This allows me to test both Mac and PC but the complications arise when trying to test different versions of browsers. Any one have any ideas?

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  • A problem with texture atlasing in Unity

    - by Hamzeh Soboh
    I have the texture below and I need to get rectangular parts from it. I could finally combine meshes of different quads to improve performance, but I with quads of different tilings, this means different materials, then combining meshes will fail. Can anybody tell me how to have a part of that texture in C#? Such that all quads will be of the same material only then combining meshes passes. Thanks in advance.

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  • Actor library / framework for C++

    - by Giorgio
    In the C++ project I am working for we would like to use something like Scala actors and remote actors (see e.g. this tutorial). Being able to use remote actors (actors living in different processes, possibly on different machines and communicating via TCP/IP) has higher priority for us because we have an application consisting of several processes deployed on different machines. Being able to use several actors living in the same process (possibly different threads) is also interesting, but has lower priority for the moment. On wikipedia I have found some links to actor libraries for C++ and I have started to look at Theron. Before I dive too deep into the details and build an extended example with Theron, I wanted to ask if anybody has experience with any of these libraries and which one they would recommend.

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  • Insight into GNU/Linux boot process

    <b>Musing with GNU/Linux:</b> "In this document we will take a look at the different aspects of the boot process. Such as the BIOS which is the first code which runs, the boot loaders that can load different operating systems, pass arguments to the kernel, load it from different sources like a hard drive, a flash, and network & finally the kernel itself."

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  • OpenGL behaviour depending on the graphics card?

    - by Dan
    This is something that never happened to me before. I have an OpenGL code that uses GLSL shaders to texture a 3D model. The code involves a lot of GPU texture processing, blending, etc... I wanted to check how the performance of my code improves using a faster graphics card (both new and old are NVIDIA, using always the NVIDIA development drivers). But now I have found that once I run the code using the new graphics card, it behaves completely different (the final render looks wrong), probably because some blending effect is not performed correctly. I haven't really look into what has changed, but I am guessing that some OpenGL states are, by default, set different. Is this possible? Have you ever found different OpenGL/GLSL behaviour using different graphics cards? Any "fast" solution? (So far I've thought of plugging back the old one, push all OpenGL default states, and compare with the ones I initially get using the new card..)

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  • Using branches for a mini project or module of project: Good practice?

    - by TheLQ
    In my repo I have 3 closely related mini projects: 1 server and 2 clients. They are all quite small (<3 files each). Since they are so small and so closely related I just dropped them in folders in one single repo. However now that I know I can't clone a single directory in my VCS of choice (Mercurial), I'm considering splitting them up. However I'm confused about general best practice: Is it okay to put different small projects in different branches, or should they all go in different repos? I'm currently leaning towards branching since I can't easily splice out the file history of the different projects but then your using a feature in a way it wasn't meant to be used.

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  • Single or multiple return statements in a function [on hold]

    - by Juan Carlos Coto
    When writing a function that can have several different return values, particularly when different branches of code return different values, what is the cleanest or sanest way of returning? Please note the following are really contrived examples meant only to illustrate different styles. Example 1: Single return def my_function(): if some_condition: return_value = 1 elif another_condition: return_value = 2 else: return_value = 3 return return_value Example 2: Multiple returns def my_function(): if some_condition: return 1 elif another_condition: return 2 else: return 3 The second example seems simpler and is perhaps more readable. The first one, however, might describe the overall logic a bit better (the conditions affect the assignment of the value, not whether it's returned or not). Is the second way preferable to the first? Why?

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  • mysql single database relocation

    - by asdmin
    I would like to know if it's possible to operate different databases on different filesystem locations. Background: we are a hosting service, which hosts mysql, web, and smtp to it's customer, but all our services (sql, smtp, http) are located in a different place. We are going to assign a single logical volume to a customer, which will accommodate the customer's mailing, weppages and (hopefully) sql database. Web pages and mailing are already covered, but I am not able to find a configuration setting which would enable me to specify the location of a database (the directory where mysql stores the DB). Let me please highlight, the target here is to relocate different databases to different locations in the filesystem, not moving them from a single place to an another (single) place. Also please do not bother answering with soft and hard symbolic links. ;) Thanks

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  • Java Terms that are Plagued with Vaguery

    - by Adam Tannon
    What's the difference between a Java Process (what your OS sees) and a JVM? Are they one in the same or are they actually different? How are the JRE and JDK different (in purpose and file content), and which one contains the libraries for Java SE? What's the difference between the Java "Runtime" and a JVM? These are questions I've been asking myself (and colleagues) for years and everybody seems to have very different answers.

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  • Data base structure of a subscriber list

    - by foodil
    I am building a application that allow different user to store the subscriber information To store the subscriber information , the user first create a list For each list, there is a ListID. Subscriber may have different attribute : email phone fax .... For each list, their setting is different , so a require_attribute table is introduced. It is a bridge between subscriber and List That store Listid ,subid , attribute, datatype That means the system have a lot of list, each user have their own list, and the list have different attribute, some list have email , phone , some may have phone, address, name mail.. And the datatype is different, some may use 'name' as integer , some may use 'name' as varchar attribute means email phone, it is to define for which list have which subscriber attribute datatype means for each attribute, what is its datatype Table :subscriber : Field :subid , name,email Table :Require Attribute: Field : Listid ,subid , attribute, datatype The attribute here is {name, email} So a simple data is Subscriber: 1 , MYname, Myemail Require Attribute : Listid , 1 , 'email', 'intger' Listid , 1 , 'name', 'varchar' I found that this kind of storage is too complex too handle with, Since the subscriber is share to every body, so if a person want to change the datatype of name, it will also affect the data of the other user. Simple error situation: Subscriber: list1, Subscriber 1 , name1, email1 list2, Subscriber 2 , name2 , email2 Require Attribute : List1 , Subscriber 1 , 'email', 'varchar', List1 , Subscriber 1 , 'name', 'varchar', Listid , Subscriber 2 , 'email', 'varchar', Listid , Subscriber 2, 'name', 'integer', if user B change the data type of name in require attribute from varchar to integer, it cause a problem. becasue list 1 is own by user A , he want the datatype is varchar, but list 2 is won by user B , he want the datatype to be integer So how can i redesign the structure?

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  • What is the best video editor on Ubuntu for editing multi-format/multi-eco?

    - by amjad
    I have many video clips with different formats and I want to create a short movies by joining them. Most of the clips are taken with Nokia N8 and Lumia 800. I am using Ubuntu, I have tried many of editors but I can not edit/video clips due to different video formats. Which open source editor should I use to achieve following tasks: Join different vidoe formats/encoding to produce on single movie Export to different formats (.avi, youtube, etc) Add texts on the clips and insert images I don't want to install and try many of them.

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  • Setting up a Google Analytics Campaign

    - by Ashfame
    I will be doing a bunch of things to give one of my projects (main app) a big initial push for which I will be building a few small Facebook apps which will help in promoting the main apps. Traffic from these apps need to be tracked individually. My main app will be posting on the walls when the user needs to be notified. Traffic from these posts need to be tracked. Traffic from emails sent by the main app need to be tracked, like different types of email. I need to track all of these & possibly a couple of more but I need to be sure that I build my campaign URLs correctly as I won't get another chance to fix it. Correct me where I am wrong: Campaign Name: Launch Campaign Medium: Email Campaign Source: Type1 or Type2 (I can break it down for different types of email, right?) For apps: Campaign Name: Launch Campaign Medium: Apps Campaign Source: App1 or App2 (I can break it down here for different apps, right?) What if I want to track two different links within a single email or a single app? Any way of tracking them individually too but still keeping to track them as one because tracking them as one makes more sense for me. Campaign Term & Campaign content is irrelevant in my case, or I can/should use them for something? And I will also be tracking traffic of different apps. Should I do more? Let me know if my scenario wasn't clear enough & I need to explain more.

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