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Map val Sparse1 = Map[Int, Int]() for (k <- 0 to 20) { Sparse1 getOrElseUpdate (k, Can the highlighted with comment line be rewritten using the getOrElseUpdate method? P.S. I am only at the 4th part of the "Scala for the impatient", so please don't teach me now about functional Scala which, I am sure, can be more beautiful here. Thanks. This is typically logic you would write in Java, and it looks great in some ways: it uses pattern matching, the tuple arrow (->), etc.But it turns out that Scala collections already provide the getOrElseUpdate method on mutable maps. Scala’s Predef object offers an implicit conversion that lets you write key -> value as an alternate syntax ms getOrElseUpdate (k, d) If key k is defined in map But the method getOrElseUpdate of scala.co The ScalaDoc states that a scala.collection.concurrent.TrieMap is thread-safe: A concurrent hash-trie or TrieMap is a concurrent thread-safe lock-free implementation of a hash array mapped trie. Bu If there is a difference, I still wouldn't expect it to necessarily work out in favor of using Java for Scala (and vice-versa, I suppose): by removing the Scala code from a more normal context, you might make the microbenchmarking results even less relevant to normal usage than microbenchmarks usually are.

The example code counts each word's occurrences in given input file: object Main { def main(args: Array[String]) { val counts = new scala.collection.mutable.HashMap[String, Int] val in = new Scanner(new File("input.txt")) while (in.hasNext()) { val s: String = in.next() counts(s) = counts.getOrElse(s, 0) + 1 // Here! This is typically logic you would write in Java, and it looks great in some ways: it uses pattern matching, the tuple arrow ( -> ), etc. But it turns out that Scala collections already provide the getOrElseUpdate method on mutable maps. The 8 lines above translate simply into: 1 2. def getModelState(modelPrefixedId: String) = modelStates.

Maven error when build parquet-scala module

This is the documentation for the Scala standard library. Package structure . The scala package contains core types like Int, Float, Array or Option which are accessible in all Scala compilation units without explicit qualification or imports. As I understand, TrieMap.getOrElseUpdate is still not truly atomic, and this fixes only returned result (it could return different instances for different callers before this fix), so the updater function still might be called several times, as documentation (for 2.11.7) says: Note: This method will invoke op at most once.

Maven error when build parquet-scala module

Som titel import scala.collection.mutable val map = mutable. getOrElseUpdate(100, (0, 0)) res3: (Int, Int) = (0,0) scala> googleMap res4: Jag är helt ny på att programmera med Scala och jag har följande problem: Jag getOrElseUpdate(key, new ListBuffer()) get('Strings') += 'a' get('Strings') += 'b' beräkna punktprodukten (skalär produkt) för två glesa vektorer i Scala.

I'm not sure why you declared the map to be an implicit val: implicit val cache = mutable.Map[Int, String]() I imagine you didn't do that with the intention of placing a competing A good anecdotal example from the Scala community for this is the latest pattern matcher in the Scala compiler - although the previous one was more efficient, and knew how to optimize overlapping match cases better, the new pattern matcher rewrite is simpler to understand, less buggy and easier to maintain. outputs look fine, I noticed java13 wasn't listed on scala page, decided to look into scala PKGBUILD and found this : depends=('java-environment=8' 'java-runtime=8') Try switching to java8 as default. Benchmarks for groupBy / map getOrElseUpdate slowdown - GroupByBench.scala. Skip to content.
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Oct 9, 2019 ```scala private def consumeAbortedTxnsUpTo(offset: Long): Unit = { while ( abortedTransactions. getOrElseUpdate(abortedTxn.producerId Nov 27, 2020 [source, scala]¶. compute( split: Partition, context: TaskContext): Iterator[T]. compute computes the input split spark-rdd-partitions Jul 23, 2013 Updating a Map in Scala.

outputs look fine, I noticed java13 wasn't listed on scala page, decided to look into scala PKGBUILD and found this : depends=('java-environment=8' 'java-runtime=8') Try switching to java8 as default. Benchmarks for groupBy / map getOrElseUpdate slowdown - GroupByBench.scala. Skip to content. All gists Back to GitHub Sign in Sign up Sign in Sign up {{ message }} No Spark shuffle block is larger than 2GB (Integer.MAX_VALUE bytes) therefore you need additional / smaller partitions.You should adjust spark.default.parallelism and spark.sql.shuffle.partitions (default 200) such that the number of partitions can accommodate your data without reaching the 2GB limit (you could try aiming for 256MB / partition so for 200GB you get 800 partitions). The following examples show how to use scala.collection.mutable.Set.These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example.
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So f(x) is only evaluated iff the key x is not available. Note we call this a Memoize1 class since it extends Function1, i.e., a function that takes 1 argument. In this tutorial, we’ll learn how to use Play’s caching API with Scala. This API, while surprisingly simple, addresses many of the situations where we’d like to cache results rather than re-fetching them from a slower system.

Remove these request types or add at least one field to the request type. Play Framework - The High Velocity Web Framework For Java and Scala. Note : getOrElseUpdate is not an atomic operation in EhCache and is implemented Scala parallel collections allow you to solve data parallelism problems in ms getOrElseUpdate(k, d), If key k is defined in map ms, return its associated value. scala> Map('a' -> 1, 'b' -> 2) res4: scala.collection.immutable.Map[Char getOrElseUpdate(2, 3) res54: Int = 3 scala> numbers res55: scala.collection.
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nt@ritsuko-ubnt:~/data/vex/VexRiscv-verilog$ sbt compile

You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. /** * Convert this promise to a Scala future. *

* This is equivalent to FutureConverters.toScala(this), however, it converts the wrapped completion stage to * a future rather than this, which means if the wrapped completion stage itself wraps a Scala future, it will * simply return that wrapped future. * * @return A Scala future that is completed when this promise is completed. */ public at scala.collection.mutable.AbstractMap.getOrElseUpdate(Map.scala:91) Could you please advise how to overcome the error?

Build scala_library complains java.lang.ClassFormatError

Map [ String, String ] () map.getOrElseUpdate ( "key", { map.getOrElseUpdate ( "key", "value1" ) "value2" }) map. Note: getOrElseUpdate is not an atomic operation in EhCache and is implemented as a get followed by computing the value, then a set. This means it’s possible for the value to be computed multiple times if multiple threads are calling getOrElse simultaneously. * getOrElseUpdate(key, value) method that lazily evaluates the value parameter only if the key is not already present * in the cache. * * You may be asking, why not just use Scala's ConcurrentMap interface, which already has a getOrElseUpdate method?

Have ParTrieMap throw an exception for getOrElseUpdate. retronym merged 3 commits into scala: 2.12.x from paplorinc: getOrElseUpdate Nov 22, 2016 Conversation 57 Commits 3 Checks 0 Files changed Conversation The getOrElseUpdate is useful for accessing maps that act as caches. Say you have an expensive computation triggered by invoking a function f : scala> def f(x: String ) = { igreenfield commented on Jan 28, 2018. If you use recursive getOrElseUpdate you can easily end up with a map that contains the same key twice with different values: val map = mutable. Map [ String, String ] () map.getOrElseUpdate ( "key", { map.getOrElseUpdate ( "key", "value1" ) "value2" }) map. Note: getOrElseUpdate is not an atomic operation in EhCache and is implemented as a get followed by computing the value, then a set.