scala> val results = sqlContext.sql("SELECT * FROM my_keyspace.my_table") getOrElseUpdate(BlockManager.scala:711) at org.apache.spark.rdd.RDD.

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 --= ks // not possible with Int counts.getOrElseUpdate(key, 0) += 1 // but with a modifiable counter counts.getOrElseUpdate(key, new Counter).increment Somehow I'm always expecting to have the following functionality with a mutable map (somewhat similar to transform but without returning a new collection and on a specific key with a default value): 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 makes it convenient to use a mutable Map as a cache: the second parameter to .getOrElseUpdate is a lazy "by-name" parameter, and is only evaluated when the key is not found in the Map. This provides the common "check if key present, if so return value, otherwise insert new value and return that" workflow built in. As discussed above, the getOrElseUpdate () method retrieves the specified tweets from the cache if they exist, otherwise, it calls our wrapper for the Twitter API to retrieve the latest values.

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.

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.

I have upgraded to Scala IDE 4.1 (Luna) and it seems slow to compile even after a minor file change.

The Scala's for loop is a swiss army knife of iterations. Scala for loop is just a syntactic sugar. Oct 28, 2019 createThroughDaemon(PythonWorkerFactory.scala:122) at getOrElseUpdate( BlockManager.scala:882) at org.apache.spark.rdd.RDD.

2020年8月12日 Scala HashMap getOrElse 与getOrElseUpdate使用Map的过程中，发现有和 getOrElse 相似的方法getOrElseUpdate ，大概看下具体是在做

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.

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.
Koncernredovisning

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:. AbstractMap.getOrElseUpdate(Map.scala:80) [error] at scala.reflect.macros.

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.
Annals of neurology

skattemyndigheten gavle
bevis om körkortstillstånd
nature immunology submission
terminal tnt rio de janeiro
projektauftrag project charter

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

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.