scala

Implement product type in Scala with generic update function working on its parts

╄→гoц情女王★ 提交于 2021-02-07 03:36:53
问题 In Scala, I need to create a product type & that represents a compound value, e.g.: val and: String & Int & User & ... = ??? I.e. and should have a String part and an Int part and a User parts inside. This is similar to Scala with keyword: val and: String with Int with User with ... = ??? Having such product type I need a way to, having a function A => A , apply it to some product value and get that product back with A part altered. It implies that each type in product must be unique - that's

Implement product type in Scala with generic update function working on its parts

烂漫一生 提交于 2021-02-07 03:36:26
问题 In Scala, I need to create a product type & that represents a compound value, e.g.: val and: String & Int & User & ... = ??? I.e. and should have a String part and an Int part and a User parts inside. This is similar to Scala with keyword: val and: String with Int with User with ... = ??? Having such product type I need a way to, having a function A => A , apply it to some product value and get that product back with A part altered. It implies that each type in product must be unique - that's

Spark & Scala: saveAsTextFile() exception

橙三吉。 提交于 2021-02-07 03:31:45
问题 I'm new to Spark & Scala and I got exception after calling saveAsTextFile(). Hope someone can help... Here is my input.txt: Hello World, I'm a programmer Hello World, I'm a programmer This is the info after running "spark-shell" on CMD: C:\Users\Nhan Tran>spark-shell Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel). Spark context Web UI available at http://DLap:4040 Spark context available as 'sc' (master = local[

Spark & Scala: saveAsTextFile() exception

二次信任 提交于 2021-02-07 03:31:41
问题 I'm new to Spark & Scala and I got exception after calling saveAsTextFile(). Hope someone can help... Here is my input.txt: Hello World, I'm a programmer Hello World, I'm a programmer This is the info after running "spark-shell" on CMD: C:\Users\Nhan Tran>spark-shell Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel). Spark context Web UI available at http://DLap:4040 Spark context available as 'sc' (master = local[

Vector or MutableList / ListBuffer for performance

落爺英雄遲暮 提交于 2021-02-07 03:30:36
问题 Apologies if this is a duplicate - I did a few searches and didn't quite find what I need. We have a performance critical piece of our application that converts a Play 2.0 Enumerator (can be thought of as a Stream ) of incoming data to a List (or similar). We will use the fold method on Enumerator and the question is what will be the most performant way to do it. (I will use Stream instead of Enumerator in the code, but the idea should be the same.) val incoming: Stream[Int] = ??? val result:

Vector or MutableList / ListBuffer for performance

回眸只為那壹抹淺笑 提交于 2021-02-07 03:29:05
问题 Apologies if this is a duplicate - I did a few searches and didn't quite find what I need. We have a performance critical piece of our application that converts a Play 2.0 Enumerator (can be thought of as a Stream ) of incoming data to a List (or similar). We will use the fold method on Enumerator and the question is what will be the most performant way to do it. (I will use Stream instead of Enumerator in the code, but the idea should be the same.) val incoming: Stream[Int] = ??? val result:

Spark & Scala: saveAsTextFile() exception

孤人 提交于 2021-02-07 03:27:42
问题 I'm new to Spark & Scala and I got exception after calling saveAsTextFile(). Hope someone can help... Here is my input.txt: Hello World, I'm a programmer Hello World, I'm a programmer This is the info after running "spark-shell" on CMD: C:\Users\Nhan Tran>spark-shell Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel). Spark context Web UI available at http://DLap:4040 Spark context available as 'sc' (master = local[

How to run tests in a class sequentially in ScalaTest?

荒凉一梦 提交于 2021-02-07 03:01:53
问题 I have a class which extends org.scalatest.junit.JUnitSuite. This class has a couple of tests. I do not want these tests to run in parallel. I know how simple it is with Specs2 (extend the class with Specification and add a single line sequential inside the class) as shown here: How to run specifications sequentially. I do not want to alter the Build file by setting: parallelExecution in Test := false nor I want to use tags to run specific test files sequentially. All I want is a way to make

How to run tests in a class sequentially in ScalaTest?

橙三吉。 提交于 2021-02-07 02:59:51
问题 I have a class which extends org.scalatest.junit.JUnitSuite. This class has a couple of tests. I do not want these tests to run in parallel. I know how simple it is with Specs2 (extend the class with Specification and add a single line sequential inside the class) as shown here: How to run specifications sequentially. I do not want to alter the Build file by setting: parallelExecution in Test := false nor I want to use tags to run specific test files sequentially. All I want is a way to make

Prohibit generating of apply for case class

血红的双手。 提交于 2021-02-07 02:53:30
问题 I'm writing a type-safe code and want to replace apply() generated for case class es with my own implementation. Here it is: import shapeless._ sealed trait Data case object Remote extends Data case object Local extends Data case class SomeClass(){ type T <: Data } object SomeClass { type Aux[TT] = SomeClass { type T = TT } def apply[TT <: Data](implicit ev: TT =:!= Data): SomeClass.Aux[TT] = new SomeClass() {type T = TT} } val t: SomeClass = SomeClass() // <------------------ still compiles,