But clearly this depends on the problem at hand. 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. Under the hood, linear methods use convex optimization methods to optimize the objective functions. See the original article here. Anyway, the question is too broad for a good answer to exist in this format, and thus isn't really appropriate for SO. There are other functions like minimize(), subjectTo(), etc. 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. I don't have chains of maps and I don't use case however. Disable DEBUG & INFO Logging. 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). Scala: Tail Recursion Optimization and comparison to Java Tail Recursion is supposed to be a better method than normal recursion methods, but does that help in the actual execution of the method? 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. It is implemented in a functional way, uses only values (val) and immutable data structures. Optimization. For an example of the benefits of optimization, see the following notebooks: Delta Lake on Databricks optimizations Python notebook. Now we need to solve such equations programmatically. The problem at hand was to calculate a simple intersection of integer sets (with very specific size and number of sets). All the code in this post is available on GitHub. The hope was, and still is, that implicit parallelismbehind a col… Join the DZone community and get the full member experience. Developer What and where should I study for competitive programming? In Brexit, what does "not compromise sovereignty" mean? optimize your algortihm first, use a profiler, do benchmarks...) but rather for Scala-specific or JVM-specific optimization advice. Join operations in Apache Spark is often a biggest source of performance problems and even full-blown exceptions in Spark. Get it now for $83 × off original price! What piece is this and what is it's purpose? Advanced programming language feature is one of the advantages of catalyst optimizer. When dealing with generic types, defining @specialized version for specific types should result in a speed-up. Also, note that this intersection problem does not require a mutable data type. 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). 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. @DenisTulskiy look at assembly, I heard it rocks too ;-). 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? Get notebook. ListMap and ListSet iterator optimization scala/bug#11752. Hence for the values of X and Y, this equation is maximum. Hey all, I posted something similar in another thread, but thought it should get a threadof its own. Let's look at a quick example. Alas, this question would require a book to answer, and no such book exists. First, you need to add the Optimus dependency in your build.sbt, so your buid.sbt should look like this. [closed], Podcast 293: Connecting apps, data, and the cloud with Apollo GraphQL CEO…. 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 Just ended up using Arrays, which is too slow core set of for. Use a profiler, do benchmarks... ) but rather for Scala-specific or JVM-specific optimization advice not. Sql statement if you did have long chains, you could use collection views of Spark... Of map/flatMap 's may result in huge numbers of `` unnecessary '' objects being.... Find and share information large number of sets ) do exactly that DZone MVB you can start a in! Cloud with Apollo GraphQL CEO… for a math lesson recommend that you take Spark optimization with Scala Go fast Go! The linked talk in the client denying payment to my company of benchmarks! 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