Re: Dependency Injection and Microservice development with Spark

pflat.com> Cc: user <user@spark.apache.org>, Spark Dev List <d...@spark.apache.org> Subject: Re: Dependency Injection and Microservice development with Spark Lars, Thank you, I want to use DI for configuring all the properties (wiring) for below architectural approach. Oracle ->

Re: Dependency Injection and Microservice development with Spark

Hi, another nice approach is to use instead of it Reader monad and some framework to support this approach (e.g. Grafter - https://github.com/zalando/grafter). It's lightweight and helps a bit with dependencies issues. 2016-12-28 22:55 GMT+01:00 Lars Albertsson : > Do you

Re: Dependency Injection and Microservice development with Spark

Lars, Thank you, I want to use DI for configuring all the properties (wiring) for below architectural approach. Oracle -> Kafka Batch (Event Queuing) -> Spark Jobs( Incremental load from HBase -> Hive with Transformation) -> Spark Transformation -> PostgreSQL Thanks. On Thu, Dec 29, 2016 at

Re: Dependency Injection and Microservice development with Spark

Adding to Lars Albertsson & Miguel Morales, I am hoping to see how well scalameta would branch down into support for macros that can rid away sizable DI problems and for the reminder having a class type as args as Miguel Morales mentioned. Thanks, On Wed, Dec 28, 2016 at 6:41 PM, Miguel Morales

Re: Dependency Injection and Microservice development with Spark

Hi Not sure about Spring boot but trying to use DI libraries you'll run into serialization issues.I've had luck using an old version of Scaldi. Recently though I've been passing the class types as arguments with default values. Then in the spark code it gets instantiated. So you're

Re: Dependency Injection and Microservice development with Spark

Do you really need dependency injection? DI is often used for testing purposes. Data processing jobs are easy to test without DI, however, due to their functional and synchronous nature. Hence, DI is often unnecessary for testing data processing jobs, whether they are batch or streaming jobs. Or

Dependency Injection and Microservice development with Spark

Hello Community, Current approach I am using for Spark Job Development with Scala + SBT and Uber Jar with yml properties file to pass configuration parameters. But If i would like to use Dependency Injection and MicroService Development like Spring Boot feature in Scala then what would be the