Jag är ny på scala. Som titel import scala.collection.mutable val map = mutable. getOrElseUpdate(100, (0, 0)) res3: (Int, Int) = (0,0) scala> googleMap res4: 

beräkna punktprodukten (skalär produkt) för två glesa vektorer i Scala. Map val Sparse1 = Map[Int, Int]() for (k <- 0 to 20) { Sparse1 getOrElseUpdate (k, 

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. Customer cannot submit Spark job in InsightEdge version 15.0 with specific Kubernetes versions While testing Spark Project Hive, there are RuntimeExceptions as follows, VersionsSuite: success sanity check *** FAILED *** java.lang.RuntimeException: download Once the project is set up, go to Scala > Run Setup Diagnostics… and make sure to check the field “Use Scala-compatible JDT content assist proposals” Done. If you don’t do step 6, you will not get any suggestions when writing code, so make sure that you have completed step 6 before deciding not to continue with Eclipse. 17/01/10 19:17:20 ERROR ShuffleBlockFetcherIterator: Failed to get block(s) from bigdata-hdp-apache1828.xg01.diditaxi.com:7337 java.lang.NullPointerException: group Solved: Despite adding the following, --conf. Hey AK, Following is the stack trace: 10:13:28,194 WARN [TaskSetManager] Lost task 8.0 in stage 1.0 (TID 4, hostname GitHub Gist: instantly share code, notes, and snippets. Spark version : 2 Steps:. install conda on all nodes (python2.7) ( pip install conda ) create requirement1.txt with "numpy > requirement1.txt "Run kmeans.py application in yarn-client mode.

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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. A quick hack to wrap Google Guava's cache with a slightly more scala-friendly API. The main goal is to have a getOrElseUpdate method that is actually thread safe, unlike the one on Scala's ConcurrentMap. [Redirected to scala-language since I'm not on scala-user.] Someone asked me recently why I'm against extending Function1 casually. In this we have a pretty good example. 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.

Hi! I would like to have an implicit conversion with caching of  Nov 9, 2020 Learn about Play's caching API with Scala.

Runner.main(Runner.scala) Caused by: java.awt.HeadlessException at getOrElseUpdate(MapLike.scala:189) at scala.collection.mutable.AbstractMap.

Spark version : 2 Steps:. install conda on all nodes (python2.7) ( pip install conda ) create requirement1.txt with "numpy > requirement1.txt "Run kmeans.py application in yarn-client mode. Cause. If the above query returns a non-empty dataset then the problem is caused by the Request type returned by the query.

Sep 10, 2020 getOrElseUpdate(BlockManager.scala:881) at org.apache.spark.rdd.RDD. MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at 

If the above query returns a non-empty dataset then the problem is caused by the Request type returned by the query. Resolution. 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.

Hi! I would like to have an implicit conversion with caching of  Nov 9, 2020 Learn about Play's caching API with Scala. Future[Option[T]] – Retrieve the value from the cache if it exists; getOrElseUpdate[T](key: String,  Nov 23, 2020 getOrElseUpdate(Map.scala:80) at com.atlassian.servicedesk.internal.feature. customer.request.RequestListProviderScala$$anonfun$15.apply(  Scala collections provide many common operations for constructing them, Mutable Map s have a convenient getOrElseUpdate function, that allows you to look  Nov 11, 2018 Update elements by reassigning them. Given a new, mutable Scala Map : scala> var states = scala.collection.mutable.Map[String, String]() states  ms getOrElseUpdate (k, d), If key k is defined in map ms , return its associated value. Otherwise, update ms with the mapping k -> d and return d . Removals:.
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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.

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* 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?
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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.

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. /** * 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?