ubject: 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 Trans
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 really need dependency
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 3:2
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 basic
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 stan
