scala - skapa en muterbar karta och med standardvärde som 0,0

Build scala_library complains java.lang.ClassFormatError

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. OS: Ubuntu Linux 18.10. Java: java version "1.8.0_201" Java(TM) SE Runtime Environment (build 1.8.0_201-b09) Java HotSpot(TM) 64-Bit Server VM (build 25.201-b09, mixed mode) Okay, so in preparation for the DataWorks Summit :: San Jose I was going over the Spark 2 cluster we give our students, you know - testing the important labs, etc. 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.

Getorelseupdate scala

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.

nt@ritsuko-ubnt:~/data/vex/VexRiscv-verilog$ sbt compile

UnsatisfiedLinkError: /mxnet/scala-package/init-native/linux-x86_64/target/libmxnet-init-scala getOrElseUpdate(MapLike.scala:194) [INFO] at getOrElseUpdate(Map.scala:82) [INFO] at scala.reflect.macros.runtime.MacroRuntimes.standardMacroRuntime(MacroRuntimes.scala:50) getOrElseUpdate$(MapLike.scala:203) [error] at scala.collection.mutable.AbstractMap.getOrElseUpdate(Map.scala:80) [error] at scala.reflect.macros.runtime. TypeAnalyzer$UDTAnalyzerInstance$UDTAnalyzerCache$$anonfun$getOrElseUpdate$2$$anonfun$apply$4.apply(TypeAnalyzer.scala:481) getOrElseUpdate(Map.scala:80) [error] at scala.reflect.macros.runtime.MacroRuntimes.standardMacroRuntime(MacroRuntimes.scala:38) getOrElseUpdate(Map.scala:80).

java - sbt编译播放框架应用程序错误 - 堆栈内存溢出

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. 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?

I have upgraded to Scala IDE 4.1 (Luna) and it seems slow to compile even after a minor file change. OS: Ubuntu Linux 18.10. Java: java version "1.8.0_201" Java(TM) SE Runtime Environment (build 1.8.0_201-b09) Java HotSpot(TM) 64-Bit Server VM (build 25.201-b09, mixed mode) Okay, so in preparation for the DataWorks Summit :: San Jose I was going over the Spark 2 cluster we give our students, you know - testing the important labs, etc. 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.
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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.

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. Cause.
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* * 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.
Yvonne persson

nt@ritsuko-ubnt:~/data/vex/VexRiscv-verilog$ sbt compile

This is the documentation for the Scala standard library.