1.
Java 8 and Beyond,
a Scala Story
Tomer Gabel, April 2016

2.
Preface
• Java 8 was released
in 2014
• Which begs the
question…
• Is Scala still relevant?
– Yes.
– This talk is about
convincing you!

3.
Quick Agenda
• A bit of history
– The Java-Scala gap
– How Java 8 reduces it
– Remaining gaps
• Showcase!
– Traits
– Pattern matching
– Implicits

4.
The Java-Scala gap
Historically (pre Java 8)
• Type inference
• Lambdas
• Traits
• Collections library
• DSLs
• Implicits

5.
The Java-Scala gap
Currently (with Java 8)
• Type inference
• Lambdas
• Traits
• Collections library
• DSLs
• Implicits

6.
There’s So Much More…
For-comprehensions
Flexible scoping
Built-in tuples
Higher-kinded types
Implicit conversions
Declaration-site
variance
(Partial) Functions
Bottom types
Structural types
Type members
Path-dependent types
Macros

7.
RIGHT.
WHY SHOULD YOU CARE?

8.
SHOWCASE #1:
TRAITS

9.
Ye Olde Logging
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
public class ClassWithLogs {
private static Logger log =
LoggerFactory.getLogger(ClassWithLogs.class);
public String getNormalizedName(Person person) {
log.info("getNormalizedName called");
log.debug("Normalizing " + person.toString());
String normalizedName =
person.getName().toUpperCase().trim();
log.debug("Normalized name is: " + normalizedName);
return normalizedName;
}
}
Eager
Evaluation
Boilerplate

10.
Improvement?
public class LoggingSample implements Logging {
public String getNormalizedName(Person person) {
info("getNormalizedName called");
debug("Normalizing " + person.toString());
String normalizedName =
person.getName().toUpperCase().trim();
debug("Normalized name is: " + normalizedName);
return normalizedName;
}
}

11.
Java Interface Limitations
• No state allowed
– Need Logger instance
– Workaround: getter
– But... boilerplate :-(
• Only public methods
– Logging APIs visible!
– … as is logger()
public interface Logging {
Logger logger();
default void debug(String msg) {
if (logger().isDebugEnabled())
logger().debug(msg);
}
default void info(String msg) {
if (logger().isInfoEnabled())
logger().info(msg);
}
}

12.
And Lazy Evaluation?
• Can be implemented with a lambda:
import java.util.function.Supplier;
default void debug(Supplier<String> message) {
if (getLogger().isDebugEnabled())
getLogger().debug(message.get());
}
• But there’s boilerplate at the call site:
debug(() -> "Normalizing " + person.toString());

13.
Scala Traits
• Allow state
• Participate in
lifecycle
• Support
visibility
• Multiple
inheritance!
trait Logging {
private val logger =
LoggerFactory.getLogger(getClass)
protected def warn(msg: => String) =
if (logger.isWarnEnabled)
logger.warn(msg)
protected def debug(msg: => String) =
if (logger.isDebugEnabled)
logger.debug(msg)
}

14.
SHOWCASE #2:
PATTERN MATCHING

15.
Switcheroo
• Switch statement is incredibly limited
– Only supports primitives (and strings)
– No arbitrary expressions (e.g. guards)
– No result values
• Workarounds are ugly
– Nested control structures
– Encoding enums instead of using types

16.
Pattern Matching
• Pattern matching in
Scala:
– Allows arbitrary types
– Supports guards
– Checks for
exhaustiveness
– User-extensible
– Ubiquitous

17.
ARE YOU READY FOR CODE?

18.
SHOWCASE #3:
IMPLICITS

19.
Serialization in a Nutshell
• Break compound
type into
components
Reflection
• Iterate over
components
• Dispatch by type
Dispatch
• Make your
customers happy
• Save the world
• Adopt a puppy
Profit

20.
Right. So?
• Jackson uses runtime
reflection
– Hard to predict
– Lossy (e.g. erasure)
• Pluggable via
modules
– Easy to forget
– Test to avoid mistakes

21.
A Better Way
• Scala supports implicit parameters
– These are filled in by the compiler
– Well-defined rules for implicit search
• This lets you define type classes:
trait Serializer[T] {
def serialize(value: T): JsonValue
def deserialize(value: JsonValue): Try[T]
}

22.
Composition
• Type classes are resolved recursively
• You can encode dependencies:
– If Serializer[T] is known, you can always
handle Option[T]
– Same principle applies to maps, sequences
etc.
• The compiler handles wiring for you
– To an arbitrary level of nesting!

23.
How Is That Better?
• Performance
– No reflective access
– No runtime codegen
• Reliability
– Missing serializer =
compile-time error
– Lossless
– No spurious tests

24.
WE’RE DONE HERE!
… AND YES, WE’RE HIRING :-)
Thank you for listening
tomer@tomergabel.com
@tomerg
http://il.linkedin.com/in/tomergabel
Sample Code:
https://github.com/holograph/scala-vs-java8