Explicit-Nulls Flag

The explicit-nulls flag is currently disabled by default. It can be enabled via -Yexplicit-nulls defined in ScalaSettings.scala. All of the explicit-nulls-related changes should be gated behind the flag.

Type Hierarchy

We change the type hierarchy so that Null is only a subtype of Any by:

• modifying the notion of what is a nullable class (isNullableClass) in SymDenotations to include only Null and Any, which is used by TypeComparer
• changing the parent of Null in Definitions to point to Any and not AnyRef
• changing isBottomType and isBottomClass in Definitions

Working with Nullable Unions

There are some utility functions for nullable types in NullOpsDecorator.scala. They are extension methods for Type; hence we can use them in this way: tp.f(...).

• stripNull syntactically strips all Null types in the union: e.g. T | Null => T. This should only be used if we can guarantee T is a reference type.
• isNullableUnion determines whether this is a nullable union.
• isNullableAfterErasure determines whether this type can have null value after erasure.

Within Types.scala, we also defined an extractor OrNull to extract the non-nullable part of a nullable unions .

(tp: Type) match
  case OrNull(tp1) => // if tp is a nullable union: tp1 | Null
  case _ => // otherwise

Java Interoperability

The problem we're trying to solve here is: if we see a Java method String foo(String), what should that method look like to Scala?

• since we should be able to pass null into Java methods, the argument type should be String | Null
• since Java methods might return null, the return type should be String | Null

At a high-level:

• we track the loading of Java fields and methods as they're loaded by the compiler
• we do this in two places: Namer (for Java sources) and ClassFileParser (for bytecode)
• whenever we load a Java member, we "nullify" its argument and return types

The nullification logic lives in compiler/src/dotty/tools/dotc/core/JavaNullInterop.scala.

The entry point is the function def nullifyMember(sym: Symbol, tp: Type, isEnumValueDef: Boolean)(implicit ctx: Context): Type which, given a symbol, its "regular" type, and a boolean whether it is a Enum value definition, produces what the type of the symbol should be in the explicit nulls world.

1. If the symbol is a Enum value definition or a TYPE_ field, we don't nullify the type
2. If it is toString() method or the constructor, or it has a @NotNull annotation, we nullify the type, without a Null at the outmost level.
3. Otherwise, we nullify the type in regular way.

The @NotNull annotations are defined in Definitions.scala.

See JavaNullMap in JavaNullInterop.scala for more details about how we nullify different types.

Relaxed Overriding Check

If the explicit nulls flag is enabled, the overriding check between Scala classes and Java classes is relaxed.

The matches function in Types.scala is used to select condidated for overriding check.

The compatibleTypes in RefCheck.scala determines whether the overriding types are compatible.

Nullified Upper Bound

Suppose we have a type bound class C[T >: Null <: String], it becomes unapplicable in explicit nulls, since we don't have a type that is a supertype of Null and a subtype of String.

Hence, when we read a type bound from Scala 2 Tasty or Scala 3 Tasty, the upper bound is nullified if the lower bound is exactly Null. The example above would become class C[T >: Null <: String | Null].

Unsafe Nulls Feature and SafeNulls Mode

The unsafeNulls language feature is currently disabled by default. It can be enabled by importing scala.language.unsafeNulls or using -language:unsafeNulls. The feature object is defined in library/src/scalaShadowing/language.scala. We can use config.Feature.enabled(nme.unsafeNulls) to check if this feature is enabled.

We use the SafeNulls mode to track unsafeNulls. If explicit nulls is enabled without unsafeNulls, there is a SafeNulls mode in the context; when unsafeNulls is enabled, SafeNulls mode will be removed from the context.

Since we want to allow selecting member on nullable values, when searching a member of a type, the | Null part should be ignored. See goOr in Types.scala.

Flow Typing

As typing happens, we accumulate a set of NotNullInfos in the Context (see Contexts.scala). A NotNullInfo contains the set of TermRefs that are known to be non-null at the current program point. See Nullables.scala for how NotNullInfos are computed.

During type-checking, when we type an identity or a select tree (in typedIdent and typedSelect), we will call toNotNullTermRef on the tree before return the typed tree. If the tree x has nullable type T|Null and it is known to be not null according to the NotNullInfo and it is not on the lhs of assignment, then we cast it to x.type & T using defn.Any_typeCast.

The reason for casting to x.type & T, as opposed to just T, is that it allows us to support flow typing for paths of length greater than one.

abstract class Node:
   val x: String
   val next: Node | Null

def f =
   val l: Node | Null = ???
   if l != null && l.next != null then
      val third: l.next.next.type = l.next.next

After typing, f becomes:

def f =
   val l: Node | Null = ???
   if l != null && l.$asInstanceOf$[l.type & Node].next != null then
      val third:
         l.$asInstanceOf$[l.type & Node].next.$asInstanceOf$[(l.type & Node).next.type & Node].next.type =
         l.$asInstanceOf$[l.type & Node].next.$asInstanceOf$[(l.type & Node).next.type & Node].next

Notice that in the example above (l.type & Node).next.type & Node is still a stable path, so we can use it in the type and track it for flow typing.