Dsl.scala | create embedded Domain-Specific Languages | Functional Programming library
kandi X-RAY | Dsl.scala Summary
kandi X-RAY | Dsl.scala Summary
Dsl.scala is a framework to create embedded Domain-Specific Languages in Scala. It can be considered as an alternative syntax to for comprehension, Scala Async and Scala Continuations. It unifies monads, generators, asynchronous functions, coroutines and continuations to a single universal syntax, and can be easily integrate to Scalaz, Cats, Scala Collections, Scala Futures, Akka HTTP, Java NIO, or your custom domains. A DSL author is able to create language keywords by implementing the Dsl trait, which contains only one abstract method to be implemented. No knowledge about Scala compiler or AST macros is required. DSLs written in Dsl.scala are collaborative with others DSLs and Scala control flows. A DSL user can create functions that contains interleaved DSLs implemented by different vendors, along with ordinary Scala control flows.
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QUESTION
i a fresh of akka and scalatest, and i'm following the document of akka to learn it. But when i wonder to test the demo code like official website said, it seems do not work well.The test code is as follows.
...ANSWER
Answered 2019-Nov-04 at 13:42You should use a full test name. testOnly some.package.name.TestName
or testOnly *TestName
.
QUESTION
I´m pretty new in GraphDSL of akka stream. I´m doing DSL for a test framework that we have, so far so good, but I´m facing the problem that I cannot have a new line when people use the DSL
here an example:
...ANSWER
Answered 2017-Jul-07 at 15:56You should be able to split by specifying in
and out
ports of your flows' shape, e.g.
QUESTION
I'm running a Spark application (Spark 1.6.3 cluster), which does some calculations on 2 small data sets, and writes the result into an S3 Parquet file.
Here is my code:
...ANSWER
Answered 2017-Oct-25 at 07:22This error occurs when GC takes up over 98% of the total execution time of process. You can monitor the GC time in your Spark Web UI by going to stages tab in http://master:4040.
Try increasing the driver/executor(whichever is generating this error) memory using spark.{driver/executor}.memory by --conf while submitting the spark application.
Another thing to try is to change the garbage collector that the java is using. Read this article for that: https://databricks.com/blog/2015/05/28/tuning-java-garbage-collection-for-spark-applications.html. It very clearly explains why GC overhead error occurs and which garbage collector is best for your application.
QUESTION
So I want to use the cronish library in my SBT project.
My build.sbt looks like following
...ANSWER
Answered 2017-Oct-31 at 22:28Scala does not have binary compatibility across major releases (and 2.11.x is a different major release from 2.12.x).
This means that you absolutely cannot use a library compiled against Scala 2.11 in a project that uses Scala 2.12, sorry.
You might want to:
- Downgrade your project by setting
scalaVersion := "2.11.11"
- Wait for cronish to release a version compiled against Scala 2.12
- Try to compile cronish against Scala 2.12 (if you e.g. host a fork on github, it is possible to depend on it directly by URL in your build.sbt)
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