optimization in scala

When we can say 0 and 1 in digital electronic? For an example of the benefits of optimization, see the following notebooks: Delta Lake on Databricks optimizations Python notebook. What piece is this and what is it's purpose? I was told that declaring a variable private[this] var foo = ... prevents the creation of getter/setter functions and should be faster (disclaimer: I never confirmed that in a microbenchmark). Again, I think that it is hard to give a general advise which of these data types to choose, since this only tells us the performance in this special intersection problem (but I did chose Java's HashSet in a few over cases over the alternatives). Scala case classes, for example, or chains of map/flatMap's may result in huge numbers of "unnecessary" objects being created. It includes Scala’s pattern matching and quasi quotes. In this post, we’ll walk through a novel method of solving a famous mathematical problem from computer science, and in the process, I’ll describe how it can be implemented effectively in Scala. Ant colony optimization in Scala. We dive deep into Spark and understand how it works under the hood. An Option [T] can be … I also had to optimize a lot of Scala code in the past. "Java Performance Tuning") is likely to be relevant. My question is therefore where to look first when trying to optimize Scala code ? Also, note that this intersection problem does not require a mutable data type. It is available on GitHub. 8 replies Wed, 2011-07-27, 00:03 Antoras . Join the DZone community and get the full member experience. We expect answers to be supported by facts, references, or expertise, but this question will likely solicit debate, arguments, polling, or extended discussion. There are also many optimizations that can help you overcome these challenges, such as caching, and allowing for data skew. Given that definition of pure functions, as you might imagine, methods like these in the scala.math._package are pure functions: 1. abs 2. ceil 3. max 4. min These Scala Stringmethods are also pure functions: 1. isEmpty 2. length 3. substring Many methods on the Scala collections classes also work as pure functions, including drop, filter, and map. Now we need to solve such equations programmatically. This is where mathematical optimization libraries come in. The only problem is that the methods of Scala … Have you ever been in a condition where you have inequalities and you have to find out the maximum or minimum values of the variables for a particular equation? Advanced programming language feature is one of the advantages of catalyst optimizer. Get notebook. Over a million developers have joined DZone. This optimizer is based on functional programming construct in Scala. So far, I did not observe significant performance differences between 2.8, 2.9 and 2.10. Alas, this question would require a book to answer, and no such book exists. All the code in this post is available on GitHub. When a method returns a value which can even be null then Option is utilized i.e, the method defined returns an instance of an Option, in place of returning a single object or a null. But, In rule-based optimization, there are set of rule to … Only a small portion of existing works (e.g. Some of these topics include: optimize your algortihm first, use a profiler, do benchmarks...) but rather for Scala-specific or JVM-specific optimization advice. The hope was, and still is, that implicit parallelismbehind a col… Hence for the values of X and Y, this equation is maximum. Scala combines the power of OO and functional programming, and Pragmatic Scala shows you how to work effectively with both. For example: There are two equations: one equation that you need to maximize and another equation that acts as a constraint: Equation to be maximized : -2 * x + 5 * y. This talk, for the Northeast Scala Symposium, provides tips to avoid "premature optimization." Join operations in Apache Spark is often a biggest source of performance problems and even full-blown exceptions in Spark. I'll generally recommend that you take Spark Optimization 1 first, but it's not a requirement. If you have any questions, let me know! How many electric vehicles can our current supply of lithium power? When dealing with generic types, defining @specialized version for specific types should result in a speed-up. It is based on functional programming construct in Scala. Although I try to avoid generalizations, I could live with the following: Try to use native Arrays. So it looks better to write `str.size` than `str.length` or `str(3)` than `str.charAt(3)`. Erik Osheim, Senior R&D Engineer at Precog, delivers a talk focusing on low-level optimization in Scala and strategies to help the JVM run faster. There can be other problems like a quadratic equation problem or a mixed integer problem. Stack Overflow for Teams is a private, secure spot for you and Breeze is the core set of libraries for ScalaNLP, including linear algebra, numerical computing and optimization. Marketing Blog. Now we have to make a bounded variable to define this expression: The whole code looks something like this like this: LQProblem: defines a linear equation problem. In Scala, how do immutable and mutable sets and maps compare with regard to garbage collection? Scala (/ ˈ s k ɑː l ɑː / SKAH-lah) is a general-purpose programming language providing support for both object-oriented programming and functional programming.The language has a strong static type system.Designed to be concise, many of Scala's design decisions are aimed to address criticisms of Java. If someone has any suggestions for solving this problem, feel free to ping me! The question immutable vs. mutable is simply answered by the number of updates you have to perform and it is difficult (for me) to give a general answer here. I hope you enjoyed this and found it interesting! Get it now for $83 × off original price! Under the hood, linear methods use convex optimization methods to optimize the objective functions. [closed], Podcast 293: Connecting apps, data, and the cloud with Apollo GraphQL CEO…. Iulian Dragos is working on the Scala compiler since 2004, being responsible of the JVM backend and compiler optimizations. It's listed here under 2. 03/04/2020; 2 minutes to read; m; M; In this article. The following is not meant to be a complete list, just a few practical observations that might help you: Yes, replacing a for loop by a while is faster, even with Scala 2.10. Do I need my own attorney during mortgage refinancing? In our case, we are going to use Optimus. The Option in Scala is referred to a carrier of single or no element for a stated type. Open Copy link Member SethTisue commented Oct 13, 2020. Optimization on String methods. Anyway, the question is too broad for a good answer to exist in this format, and thus isn't really appropriate for SO. But clearly this depends on the problem at hand. A minor point that comes to my mind: I observed differences in constructing collections either by origCollection.toSomeCollectionName over manual construction and construction using the companion object (i.e., SomeCollectionName(origCollection :_*)). I will look into my heap usage. maximize(): takes the expression that needs to be maximized. Let's see how to calculate minimum or maximum values of equations in Scala with some help from the Optimus library. In many cases the latter was significantly faster. Currently, I am working on a use case in which I am looking forward to using MIP to solve the problem. If you did have long chains, you could use collection views. It is implemented in a functional way, uses only values (val) and immutable data structures. Spark Cache and Persist are optimization techniques in DataFrame / Dataset for iterative and interactive Spark applications to improve the performance of Jobs. The only caveat is that the methods take Scala RDD objects, while the Spark Java API uses a separate JavaRDD class. You will learn 20+ techniques and optimization strategies. The following is not meant to be a complete list, just a few practical observations that might help you: Yes, replacing a for loop by a while is faster, even with Scala 2.10. Thank you very much, this is exactly the kind of advice I was looking for. Oct 12, 2015. Nevertheless, there can be performance differences even in the immutable functionality (and whereas regarding Set it was the mutable collection which was significantly faster, it is the immutable one for BitSet). Does your code instantiate a large number of objects when run? I am at the point where I already memoized important functions (so there are a few mutable maps in my code), which made my code twice as fast and I wonder what to do next. Are more than doubly diminished/augmented intervals possibly ever used? Today we are going to talk about the problem of solving the mathematical optimization. There are other functions like minimize(), subjectTo(), etc. Disable DEBUG & INFO Logging. I don't have chains of maps and I don't use case however. See the linked talk in the comments for details on that. This is one of the simple ways to improve the performance of Spark … Hey all, I posted something similar in another thread, but thought it should get a threadof its own. Why does Scala's toSeq convert an immutable Set to a mutable ArrayBuffer? The problem at hand was to calculate a simple intersection of integer sets (with very specific size and number of sets). I noticed that using the corresponding Java collection instead of the Scala version can also lead to significant speed-ups (as ballpark-figure I would say in the order of 5-10%). So, I am not looking for generic advice on software optimization (e.g. choosing efficient algorithms, caching things, or parallelizing things) that often … add(): takes a constraint expression that needs to be kept in consideration for maximizing that expression. Done that in the past for excellent answers. Furthermore, catalyst optimizer in Spark offers both rule-based and cost-based optimization as well. Optimization examples. Amidst the shift in recent years by processor manufacturers from single tomulti-core architectures, academia and industry alike have conceded thatPopular Parallel Programmingremains a formidable challenge. See the original article here. I made mistakes during a project, which has resulted in the client denying payment to my company. First, you need to add the Optimus dependency in your build.sbt, so your buid.sbt should look like this. I currently need to optimize a Scala implementation of an algorithm which is too slow. In rule-based optimization the rule based optimizer use set of rule to determine how to execute the query. Micro-optimizing your Scala code. In Brexit, what does "not compromise sovereignty" mean? I wish I could upvote your question 10 times. Thus, depending on the situation you might want to chose a mutable collection over an immutable for maximum performance (use with care!). Developer What happens if you Shapechange whilst swallowed? Delta Lake on Databricks optimizations Scala notebook. @DenisTulskiy look at assembly, I heard it rocks too ;-). Scala Option [ T ] is a container for zero or one element of a given type. This may slow down the code and impose more work on the garbage collector. How can I show that a character does something without thinking? This course is for Scala and Spark programmers who need to improve the run time and memory footprint of their jobs. Framing the problem Also, be aware that using "for filtering" (a condition following the collection you are iterating) will lead to box/unboxing of your condition, which can have a big impact on performance (see this post for details). Spark Optimization 2 with Scala MP4 | Video: h264, 1280x800 | Audio: AAC, 44. What keeps the cookie in my coffee from moving when I rotate the cup? Does cyberpunk exclude interstellar space travel? So the value of X and Y for which this equation would be maximum will be x=100 and y=170 (Check out your mathematical skills!). Where to look first when optimizing Scala code? For instance, if your algorithm makes heavy use of Range.sum, you will observe big differences (because this is now O(1) in 2.10). What is gravity's relationship with atmospheric pressure. If you feel that this question can be improved and possibly reopened, Stack Overflow works best with JavaScript enabled, Where developers & technologists share private knowledge with coworkers, Programming & related technical career opportunities, Recruit tech talent & build your employer brand, Reach developers & technologists worldwide, While this is an interesting question that sould call for interesting answers, I don't think this is a good fit for stackoverflow as it is too much open-ended (see, @RégisJean-Gilles : Honestly, I wondered if this question was well suited for stackoverlow before posting it (I see it as a "borderline" question). In this section, we will discuss how we can further optimize our Spark applications by applying … - Selection from Scala and Spark for Big Data Analytics [Book] In this course, we cut the weeds at the root. L-BFGS is an optimization algorithm in the family of quasi-Newton methods to solve the optimization problems of the form $\min_{\wv \in\R^d} \; f(\wv)$. In particular, I am seeking advice on the following points : I also had to optimize a lot of Scala code in the past. See the linked talk in the comments for details on that. What and where should I study for competitive programming? Also, offers to build an extensible query optimizer. No matter how many times you print it, you’ll always see that same result; that’s the linear world you’re used to. Let's look at a quick example. While the cost based optimization finds the most suitable way to carry out SQL statement. In this article, you will learn What is Spark cache() and persist(), how to use it in DataFrame, understanding the difference between Caching and Persistance and how to use these two with DataFrame, and Dataset using Scala examples. I posted it here because I am looking for. In cost-based optimization, multiple plans are generated using rules … What are the common language constructs or patterns that usually cause slowdowns ? As expected, that example prints the string 0123456789. Posted 2016-05-30. For an example of the benefits of optimization, see the following notebooks: Delta Lake on Databricks optimizations Python notebook Open notebook in new tab Copy link for import It enables a generic, powerful yet still efficient approach to machine learning. Parallel collections were included in the Scala standard library in an effortto facilitate parallel programming by sparing users from low-levelparallelization details, meanwhile providing them with a familiar and simplehigh-level abstraction. Updated to Scala 2.11, with in-depth coverage of new features such as Akka actors, parallel collections, and tail call optimization, this … We'll see that we have incredible leverage, IF we write intelligent code, and you will do exactly that. @texasbruce Normally for a performance PR like this we assume that existing test coverage is probably sufficient (unless someone happens to know that it isn't). What would be the most efficient and cost effective way to stop a star's nuclear fusion ('kill it')? In many of my benchmarks I just ended up using Arrays, which makes sense considering their implementation in the JVM. How can I upsample 22 kHz speech audio recording to 44 kHz, maybe using AI? rev 2020.12.8.38145. Spark Optimization with Scala Go fast or go home. We can only say yes if the recursion actually does not increase the call stack in memory and instead re-uses it. John address, and creates solutions for, many issues that can arise. Can light reach far away galaxies in an expanding universe? Opinions expressed by DZone contributors are their own. Best practice: “If not immutable create copy”-pattern, Scala efficiently convert Seq[A] to frequency map Map[A, Int]. The CPLEX Scala Library cplex-scala is an open-source library written in Scala to build optimization models for CPLEX. Good remark, pushing on the GC often cause problems with the JVM. If you've never done Scala or Spark, this course is not for you. After this talk, you will understand the two most basic methods Spark employs for joining dataframes – to the level of detail of how Spark distributes the data within the cluster. Published at DZone with permission of Shivansh Srivastava, DZone MVB. Adams-Bashforth method implementation code review. Catalyst Optimizer supports both rule-based and cost-based optimization. Or so and give it to bluenote good fit for our Q & format... The preferred way is to call the methods of the advantages of catalyst optimizer specialized for... It is based on functional programming construct in Scala is referred to a carrier of single or no for! Fusion ( 'kill it ' ) optimization models for CPLEX of my benchmarks I just ended up using Arrays which. Our Q & a format not for you integer sets ( with very specific and. × off original price you could use collection views Safety strategic Scala Style Practical. Optimize a lot of Scala code in this post is available on GitHub: Connecting,... Types should result in huge numbers of `` unnecessary '' objects being created makes sense their... Minutes to read ; m ; in this post is available on GitHub light reach far away in! Build.Sbt, so your buid.sbt should look like this Java API uses a separate JavaRDD class available on.... Run Time and memory footprint of their jobs using MIP to solve the problem this course, we going! Constraint expression that needs to be kept in consideration for maximizing that.. Shivansh Srivastava, DZone MVB our property, Employee barely working due to Mental Health issues 2020 stack Exchange ;. 2020 stack Exchange Inc ; user contributions licensed under cc by-sa catalyst optimizer techniques! Feature is one of the Scala collections mortgage refinancing m ; m in. Fulfillment, which has resulted in the JVM of X and Y, this question is therefore where look. Optimization ( e.g you can start a bounty in a day or so give! Share information here: optimal order fulfillment, which makes sense considering their implementation the! Me know show that a character does something without thinking optimization in scala, that prints. Cplex-Scala is an open-source library written in Scala the preferred way is call. The Scala collections SethTisue commented Oct 13, 2020 still efficient approach to learning..., feel free to ping me and share information: takes the expression that to... ; m ; in this course is not for you with minimalist magic how. Star 's nuclear fusion ( 'kill it ' ) the course is for Scala and Spark programmers who need optimize. Dzone MVB closed ], Podcast 293: Connecting apps, data, and Pragmatic Scala shows you how work! A constraint expression that needs to be relevant say 0 and 1 in digital electronic does arXiv a! Light reach far away galaxies in an expanding universe with very specific size and number of objects when run optimization in scala... A profiler, do benchmarks... ) but rather for Scala-specific or JVM-specific advice... Rather for Scala-specific or JVM-specific optimization advice payment to my company the code in the comments for details that. Scala ’ s pattern matching and quasi quotes or JVM-specific optimization advice cut the weeds at root! This is exactly the kind of advice I was looking for you to... Spark is often a biggest source of performance problems and even full-blown exceptions in Spark both., but the course is for Scala and Spark programmers who need to the! Does not increase the call stack in memory and instead re-uses it catalyst... Very much, this question is therefore where to look first when trying to optimize a lot of Scala in! Val ) and immutable data structures the DZone community and get the full Member experience of. Likely to be relevant m ; in this course is for Scala and Spark programmers need.: optimal order fulfillment, which has resulted in the JVM just ended up Arrays! Scala, how do immutable and mutable sets and maps compare with regard garbage..., but the course is for Scala and Spark programmers who need to optimize Scala code in this course still! Optimal order fulfillment, which has resulted in the JVM many electric vehicles can our current supply of lithium?. Their implementation in the comments for details on that get in our property, Employee barely working due to Health! The benefits of optimization, see the following notebooks: Delta Lake Databricks. Sense considering their implementation in the comments for details on that see the talk! The Spark Java API uses a separate JavaRDD class mutable ArrayBuffer finds the most suitable way to stop a 's! Using AI, 2.9 and 2.10 many of my benchmarks I just ended up using Arrays, which makes considering. That you take Spark optimization with Scala Go fast or Go home what is it 's purpose set of to. Code and impose more work on the GC often cause problems with the.! Not a requirement, let me know from the Optimus library ], 293. Posted it here because I am looking forward to using MIP to the! Optimal order fulfillment, which is too slow I hope you enjoyed this and what is it purpose... And cost effective way to stop a star 's nuclear fusion ( 'kill it ' ) and optimization order,., linear methods use convex optimization methods to optimize a Scala implementation an. With both how it works under the hood, linear methods use convex methods. Or maximum values of equations in Scala the preferred way is to call the methods of the Scala collections DZone... `` Java performance tuning '' ) is likely to be kept in consideration for maximizing expression... Digital electronic want to demonstrate: choosing the right/wrong collection can have a multi-day lag between and. Case classes, for example, or chains of map/flatMap 's may result in speed-up. Build.Sbt, so your buid.sbt should look like this best out your code zero or one element a. Is one of the advantages of catalyst optimizer in Spark use collection views cost effective to. For example, or chains of maps and I do n't use case in I! The string 0123456789 breeze is the core set of libraries for ScalaNLP including! Hence for the values of X and Y, this equation is maximum memory and instead re-uses.... Are several aspects of tuning Spark applications toward better optimization techniques of lithium power here... Version for specific types should result in huge numbers of `` unnecessary '' objects being created:... Often cause problems with the programming what does `` not compromise sovereignty '' mean that can arise unnecessary objects... ( ), subjectTo ( ), etc, see the following notebooks: Lake. Far, I could upvote your question 10 times dependency in your build.sbt, so your buid.sbt should like! Benchmarks... ) but rather for Scala-specific or JVM-specific optimization advice here because I am looking for advice... Type Safety strategic Scala Style: Practical type Safety strategic Scala Style: Designing Datatypes is often a source! That needs to be kept in consideration for maximizing that expression best out your code instantiate a large of. Of existing works ( e.g using Arrays, which is described here: optimal order,. We 'll see that we have incredible leverage, if we write intelligent code, and Pragmatic Scala you. Build.Sbt, so your buid.sbt should look like this Spark and understand how it works under the hood is! Than doubly diminished/augmented intervals possibly ever used a Scala implementation of an algorithm which is described here: optimal fulfillment... Advice I was looking for generic advice on software optimization ( e.g Teams is private... Overcome these challenges, such as caching, and Pragmatic Scala shows you how to work effectively both., 2.9 and 2.10 started with the programming kHz speech audio recording to 44 kHz, using! Published at DZone with permission of Shivansh Srivastava, DZone MVB you entered is expired or invalid, the... Or one element of a given type be relevant for ScalaNLP, including linear,... Spark is often a biggest source of performance problems and even full-blown exceptions in Spark when dealing with types. Their implementation in the comments for details on that the code and impose more work on the problem at.... Course, we are going to use native Arrays based optimizer use set of rule to determine how to a! Has any optimization in scala for solving this problem, feel free to ping me is for Scala Spark. Or so and give it to bluenote following: try to avoid generalizations, I did not observe significant differences! A Scala implementation of an algorithm which is too slow or chains of 's. Computing and optimization example, or chains of maps and I do n't use case.... More work on the problem is optimal order fulfillment, which makes sense considering implementation! And outs of Spark and get the best out your code instantiate a large number objects! Constraint expression that needs to be maximized this intersection problem does not require a book to answer and... To find and share information, we are going to talk about the problem this course we... Efficient approach to machine learning kHz, maybe using AI uses only values ( )! The past out SQL statement kHz speech audio recording to 44 kHz, using..., including linear algebra, numerical computing and optimization a star 's nuclear fusion ( 'kill '... You overcome these challenges, such as caching, and you will do exactly that programming feature! Separate JavaRDD class for maximizing that expression ) but rather for Scala-specific JVM-specific... The rule based optimizer use set of libraries for ScalaNLP, including linear algebra numerical. Employee barely working due to Mental Health issues far away galaxies in an expanding universe generalizations I. Scala code in the comments for details on that Scala 's toSeq convert immutable... Say yes if the recursion actually does not increase the call stack in optimization in scala.

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