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

java - sbt编译播放框架应用程序错误 - 堆栈内存溢出

This is a very common usage pattern for any cache. This one API call will probably suffice for the great majority of applications. 4.3. 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. 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.

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. 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.

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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:.

java - sbt编译播放框架应用程序错误 - 堆栈内存溢出

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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. 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 The second call could come from another place in the application this is just a sample. 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 Transform the builders into their results in a pass over the mutable Map before handing it to immutable.HashMapBuilder.addAll which already has an optimized path when the operation is a mutable.HashMap. Avoid lambda allocation in getOrElseUpdate call Avoid intermediate Tuple2 instances when iterating through the mutable map.

This one API call will probably suffice for the great majority of applications. 4.3. 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. This is the documentation for the Scala standard library. Package structure .
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Notable packages include: scala.collection and its sub-packages contain Scala's collections framework mutable.HashMap getOrElseUpdate not reentrant in 2.12 Showing 1-3 of 3 messages. [scala-user] mutable.HashMap getOrElseUpdate not reentrant in 2.12: Jason Zaugg: @Jaimeloeuf yes, we're certain this bug is fixed, assuming you have new enough versions of everything, and scala/scala-seed.g8 certainly has new enough versions of things so this was a reasonable place to begin asking, but I think you want to move to https://users.scala-lang.org at this point and provide full details/transcript on what you're doing, to help folks spot what's going wrong While using a Scala Stream to implement Fibonacci would automatically leverage memoization, one could also explicitly employ the very feature without Streams. For instance, by leveraging method getOrElseUpdate in a mutable Map, a memoize function can be defined as follows: The following examples show how to use scala.collection.mutable.Map.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. 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.

* * 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.
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java - sbt编译播放框架应用程序错误 - 堆栈内存溢出

Say you have an expensive computation triggered by invoking a function f : scala> def f(x: String) = { println("taking my time."); sleep(100) x.reverse } f: (x: String)String Since we supported 2.10 we included our own simple atomic implementation. See: scala/scala#4319 We now no longer support Scala 2.10. Solution Delete this function and change callers to use `getOrElseUpdate` directly since this is now atomic for the supported version of Scala. RB_ID=842684 Mutable Maps have a convenient getOrElseUpdate function, that allows you to look up a value by key, and compute/store the value if there isn't one already present: @ val m = collection.mutable.Map("one"-> 1, "two"-> 2, "three"-> 3) @ m.getOrElseUpdate("three",-1) // already present, returns existing value res87: Int = 3 @ m // `m` is unchanged res88: mutable. There are 4 solutions: Relax the contract of getOrElseUpdate to potentially allow evaluating the call-by-name parameter. Extract the getOrElseUpdate into another interface that concurrent maps do not inherit, but non-thread-safe maps like mutable.HashMap do.

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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.