getOrElseUpdate(Map.scala:80) [error] at scala.reflect.macros.runtime.MacroRuntimes.standardMacroRuntime(MacroRuntimes.scala:38)

1. 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!

and lo and behold I found a problem: Testing my old code for Spark 2 Structured Streaming with Apache Kafka was suddenly broken with an The following examples show how to use redis.clients.jedis.Jedis.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. 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.

* * val cache = new ConcurrentHashMap().asScala * cache.getOrElseUpdate("foo", "bar") // BAD idea * package com.yahoo.maha import java.sql.ResultSet package object jdbc { type Seq[+A] = scala.collection.immutable.Seq[A] val Seq = scala.collection.immutable.Seq type List[+A] = scala.collection.immutable.List[A] val List = scala.collection.immutable.List implicit class RowData(rs: ResultSet) { def apply(columnNumber: Int): Any = rs.getObject(columnNumber) def apply(columnName: String): Any = rs.getObject(columnName) def toIterator[E](rowMapper: ResultSet => E): Iterator[E] = new Iterator[E Note that I don't want to use getOrElseUpdate here if I don't have to because it gets pretty verbose when you have nested maps and obscures what's actually going on in the code: m.getOrElseUpdate(1992, Map[String, Set[String]]()).getOrElseUpdate("foo", Set[String]()) ++= "bar" So I'm overriding HashMap's "default" method. HashMap defines getOrElseUpdate, += HashMap API. scala> val numbers = collection.mutable.Map(1 -> 2) numbers: scala.collection.mutable.Map[Int,Int] = Map((1,2)) scala> numbers.get(1) res0: Option[Int] = Some(2) scala> numbers.getOrElseUpdate(2, 3) res54: Int = 3 scala> numbers res55: scala.collection.mutable.Map[Int,Int] = Map((2,3), (1,2)) scala> numbers += (4 -> 1) res56: numbers.type = Map((2,3), (4,1), (1,2)) 2011-05-29 · Scala is amazing! It allows us to pass a function to getOrElseUpdate in case the value hasn’t already been evaluated. 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.

Removals: ms -= k: Removes mapping with key k from ms as a side effect and returns ms itself. ms -= (k, l, m) Removes mappings with the given keys from ms as a side effect and returns ms itself.

[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

This is a very common usage pattern for any cache. This one API call will probably suffice for the great majority of applications.

* 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? * * val cache = new ConcurrentHashMap().asScala * cache.getOrElseUpdate("foo", "bar") // BAD idea *

scala> val results = sqlContext.sql("SELECT * FROM my_keyspace.my_table") getOrElseUpdate(BlockManager.scala:711) at org.apache.spark.rdd.RDD. Sep 10, 2020 getOrElseUpdate(BlockManager.scala:881) at org.apache.spark.rdd.RDD. MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at May 27, 2020 Using maps in scala is very simple. getOrElseUpdate("yoleen1",op(5,6))//If the key does not exist, return the default value and add it to the Jun 5, 2020 BlockManager.doPutIterator(BlockManager.scala:1029) at org.apache.spark.

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 .
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MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at May 27, 2020 Using maps in scala is very simple. getOrElseUpdate("yoleen1",op(5,6))//If the key does not exist, return the default value and add it to the Jun 5, 2020 BlockManager.doPutIterator(BlockManager.scala:1029) at org.apache.spark. storage.BlockManager.getOrElseUpdate(BlockManager.scala:760) Apr 6, 2017 getOrElseUpdate(MapLike.scala:194) at scala.collection.mutable.AbstractMap.

github上 tispark示例运行失败，com.pingcap Functional Relational Mapping for Scala · Scala.
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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 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? Reply.

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

* * @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? Reply. Valentin Nikotin. February 21, 2017 4 The following examples show how to use scala.collection.concurrent.TrieMap.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. I have upgraded to Scala IDE 4.1 (Luna) and it seems slow to compile even after a minor file change.