<div dir="ltr"><div class="gmail_default" style="font-family:monospace">This is exciting stuff, ty vm Brian.</div><div class="gmail_default" style="font-family:monospace"><br></div><div class="gmail_default" style="font-family:monospace">There are multiple reddit threads linked to this post, and one recurring question is this -- now that we have this, what purpose do records serve? Funnily enough, the "breaking down of the cliff" looks so smooth now that a couple people are wondering what benefit there is in choosing records in the first place now. It appears that these "Carrier Classes" have entirely subsumed the functionality and capabilities of records.</div><div class="gmail_default" style="font-family:monospace"><br></div><div class="gmail_default" style="font-family:monospace">To be more direct, what are the functional, semantic pros and cons between these 2 lines of code? In what ways is choosing record better, if any?</div><div class="gmail_default" style="font-family:monospace"><br></div><div class="gmail_default" style="font-family:monospace">record Point2D(int x, int y) {}</div><div class="gmail_default" style="font-family:monospace">final class Point2D(int x, int y) {}</div><div class="gmail_default" style="font-family:monospace"><br></div><div class="gmail_default" style="font-family:monospace">Thank you for your time and help.</div><div class="gmail_default" style="font-family:monospace">David Alayachew</div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Tue, Jan 13, 2026 at 4:53 PM Brian Goetz <<a href="mailto:brian.goetz@oracle.com" target="_blank">brian.goetz@oracle.com</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><u></u>
<div>
<font size="4" face="monospace">Here's a snapshot of where my head
is at with respect to extending the record goodies (including
pattern matching) to a broader range of classes, deconstructors
for classes and interfaces, and compatible evolution of records.
Hopefully this will unblock quite a few things.<br>
<br>
As usual, let's discuss concepts and directions rather than
syntax. <br>
<br>
<br>
<br>
# Data-oriented Programming for Java: Beyond records<br>
<br>
Everyone loves records; they allow us to create shallowly
immutable data holder<br>
classes -- which we can think of as "nominal tuples" -- derived
from a concise<br>
state description, and to destructure records through pattern
matching. But<br>
records have strict constraints, and not all data holder classes
fit into the<br>
restrictions of records. Maybe they have some mutable state, or
derived or<br>
cached state that is not part of the state description, or their
representation<br>
and their API do not match up exactly, or they need to break up
their state<br>
across a hierarchy. In these classes, even though they may also
be “data<br>
holders”, the user experience is like falling off a cliff. Even a
small<br>
deviation from the record ideal means one has to go back to a
blank slate and<br>
write explicit constructor declarations, accessor method
declarations, and<br>
Object method implementations -- and give up on destructuring
through pattern<br>
matching. <br>
<br>
Since the start of the design process for records, we’ve kept in
mind the goal<br>
of enabling a broader range of classes to gain access to the
"record goodies":<br>
reduced declaration burden, participating in destructuring, and
soon,<br>
[reconstruction](<a href="https://openjdk.org/jeps/468" target="_blank">https://openjdk.org/jeps/468</a>). During the design
of records, we<br>
also explored a number of weaker semantic models that would allow
for greater<br>
flexibility. While at the time they all failed to live up to the
goals _for<br>
records_, there is a weaker set of semantic constraints we can
impose that<br>
allows for more flexibility and still enables the features we
want, along with<br>
some degree of syntactic concision that is commensurate with the
distance from<br>
the record-ideal, without fall-off-the-cliff behaviors. <br>
<br>
Records, sealed classes, and destructuring with record patterns
constitute the<br>
first feature arc of "data-oriented programming" for Java. After
considering<br>
numerous design ideas, we're now ready to move forward with the
next "data<br>
oriented programming" feature arc: _carrier classes_ (and
interfaces.)<br>
<br>
## Beyond record patterns<br>
<br>
Record patterns allow a record instance to be destructured into
its components.<br>
Record patterns can be used in `instanceof` and `switch`, and when
a record<br>
pattern is also exhaustive, will be usable in the upcoming
[_pattern assignment<br>
statement_](<a href="https://mail.openjdk.org/pipermail/amber-spec-experts/2026-January/004306.html" target="_blank">https://mail.openjdk.org/pipermail/amber-spec-experts/2026-January/004306.html</a>)
feature. <br>
<br>
In exploring the question "how will classes be able to participate
in the same<br>
sort of destructuring as records", we had initially focused on a
new form of<br>
declaration in a class -- a "deconstructor" -- that operated as a
constructor in<br>
reverse. Just as a constructor takes component values and produces
an aggregate<br>
instance, a deconstructor would take an aggregate instance and
recover its<br>
component values. <br>
<br>
But as this exploration played out, the more interesting question
turned out to<br>
be: which classes are suitable for destructuring in the first
place? And the<br>
answer to that question led us to a different approach for
expressing<br>
deconstruction. The classes that are suitable for destructuring
are those that,<br>
like records, are little more than carriers for a specific tuple
of data. This<br>
is not just a thing that a class _has_, like a constructor or
method, but<br>
something a class _is_. And as such, it makes more sense to
describe<br>
deconstruction as a top-level property of a class. This, in turn,
leads to a<br>
number of simplifications. <br>
<br>
## The power of the state description<br>
<br>
Records are a semantic feature; they are only incidentally
concise. But they<br>
_are_ concise; when we declare a record<br>
<br>
record Point(int x, int y) { ... }<br>
<br>
we automatically get a sensible API (canonical constructor,
deconstruction<br>
pattern, accessor methods for each component) and implementation
(fields,<br>
constructor, accessor methods, Object methods.) We can explicitly
specify most<br>
of these (except the fields) if we like, but most of the time we
don't have to,<br>
because the default is exactly what we want.<br>
<br>
A record is a shallowly-immutable, final class whose API and
representation are<br>
_completely defined_ by its _state description_. (The slogan for
records is<br>
"the state, the whole state, and nothing but the state.") The
state description<br>
is the ordered list of _record components_ declared in the
record's header. A<br>
component is more than a mere field or accessor method; it is an
API element on<br>
its own, describing a state element that instances of the class
have. <br>
<br>
The state description of a record has several desirable
properties: <br>
<br>
- The components in the order specified, are the _canonical_
description of the<br>
record's state.<br>
- The components are the _complete_ description of the record’s
state. <br>
- The components are _nominal_; their names are a committed part
of the<br>
record's API. <br>
<br>
Records derive their benefits from making two commitments:<br>
<br>
- The _external_ commitment that the data-access API of a record
(constructor,<br>
deconstruction pattern, and component accessor methods) is
defined by the<br>
state description. <br>
- The _internal_ commitments that the _representation_ of the
record (its<br>
fields) is also completely defined by the state description.<br>
<br>
These semantic properties are what enable us to derive almost
everything about<br>
records. We can derive the API of the canonical constructor
because the state<br>
description is canonical. We can derive the API for the component
accessor<br>
methods because the state description is nominal. And we can
derive a<br>
deconstruction pattern from the accessor methods because the state
description<br>
is complete (along with sensible implementations for the
state-related `Object`<br>
methods.)<br>
<br>
The internal commitment that the state description is also the
representation<br>
allows us to completely derive the rest of the implementation.
Records get a<br>
(private, final) field for each component, but more importantly,
there is a<br>
clear mapping between these fields and their corresponding
components, which is<br>
what allows us to derive the canonical constructor and accessor
method<br>
implementations. <br>
<br>
Records can additionally declare a _compact constructor_ that
allows us to elide<br>
the boilerplate aspects of record constructors -- the argument
list and field<br>
assignments -- and just specify the code that is _not_
mechanically derivable.<br>
This is more concise, less error-prone, and easier to read:<br>
<br>
record Rational(int num, int denom) { <br>
Rational { <br>
if (denom == 0)<br>
throw new IllegalArgumentException("denominator
cannot be zero");<br>
}<br>
}<br>
<br>
is shorthand for the more explicit<br>
<br>
record Rational(int num, int denom) { <br>
Rational(int num, int denom) { <br>
if (denom == 0)<br>
throw new IllegalArgumentException("denominator
cannot be zero");<br>
this.num = num;<br>
this.denom = denom;<br>
}<br>
}<br>
<br>
While compact constructors are pleasantly concise, the more
important benefit is<br>
that by eliminating the mechanically derivable code, the "more
interesting" code<br>
comes to the fore. <br>
<br>
Looking ahead, the state description is a gift that keeps on
giving. These<br>
semantic commitments are enablers for a number of potential future
language and<br>
library features for managing object lifecycle, such as: <br>
<br>
- [Reconstruction](<a href="https://openjdk.org/jeps/468" target="_blank">https://openjdk.org/jeps/468</a>) of record
instances, allowing<br>
the appearance of controlled mutation of record state.<br>
- Automatic marshalling and unmarshalling of record instances.<br>
- Instantiating or destructuring record instances identifying
components<br>
nominally rather than positionally.<br>
<br>
### Reconstruction<br>
<br>
JEP 468 proposes a mechanism by which a new record instance can be
derived from<br>
an existing one using syntax that is evocative of direct mutation,
via a `with`<br>
expression: <br>
<br>
record Complex(double re, double im) { }<br>
Complex c = ...<br>
Complex cConjugate = c with { im = -im; }; <br>
<br>
The block on the right side of `with` can contain any Java
statements, not just<br>
assignments. It is enhanced with mutable variables (_component
variables_) for<br>
each component of the record, initialized to the value of that
component in the<br>
record instance on the left, the block is executed, and a new
record instance is<br>
created whose component values are the ending values of the
component variables. <br>
<br>
A reconstruction expression implicitly destructures the record
instance using<br>
the canonical deconstruction pattern, executes the block in a
scope enhanced<br>
with the component variables, and then creates a new record using
the canonical<br>
constructor. Invariant checking is centralized in the canonical
constructor, so<br>
if the new state is not valid, the reconstruction will fail. JEP
468 has been<br>
"on hold" for a while, primarily because we were waiting for
sufficient<br>
confidence that there was a path to extending it to suitable
classes before<br>
committing to it for records. The ideal path would be for those
classes to also<br>
support a notion of canonical constructor and deconstruction
pattern. <br>
<br>
Careful readers will note a similarity between the transformation
block of a<br>
`with` expression and the body of a compact constructor. In both
cases, the<br>
block is "preloaded" with a set of component variables,
initialized to suitable<br>
starting values, the block can mutate those variables as desired,
and upon<br>
normal completion of the block, those variables are passed to a
canonical<br>
constructor to produce the final result. The main difference is
where the<br>
starting values come from; for a compact constructor, it is from
the constructor<br>
parameters, and for a reconstruction expression, it is from the
canonical<br>
deconstruction pattern of the source record to the left of `with`.<br>
<br>
### Breaking down the cliff<br>
<br>
Records make a strong semantic commitment to derive both their API
and<br>
representation from the state description, and in return get a lot
of help from<br>
the language. We can now turn our attention to smoothing out "the
cliff" --<br>
identifying weaker semantic commitments that classes can make that
would still<br>
allow classes to get _some_ help from the language. And ideally,
the amount of<br>
help you give up would be proportional to the degree of deviation
from the<br>
record ideal.<br>
<br>
With records, we got a lot of mileage out of having a complete,
canonical,<br>
nominal state description. Where the record contract is sometimes
too<br>
constraining is the _implementation_ contract that the
representation aligns<br>
exactly with the state description, that the class is final, that
the fields are<br>
final, and that the class may not extend anything but `Record`. <br>
<br>
Our path here takes one step back and one step forward: keeping
the external<br>
commitment to the state description, but dropping the internal
commitment that<br>
the state description _is_ the representation -- and then _adding
back_ a simple<br>
mechanism for mapping fields representing components back to their
corresponding<br>
components, where practical. (With records, because we derive the<br>
representation from the state description, this mapping can be
safely inferred.) <br>
<br>
As a thought experiment, imagine a class that makes the external
commitment to a<br>
state description -- that the state description is a complete,
canonical,<br>
nominal description of its state -- but is on its own to provide
its<br>
representation. What can we do for such a class? Quite a bit,
actually. For<br>
all the same reasons we can for records, we can derive the API
requirement for a<br>
canonical constructor and component accessor methods. From there,
we can derive<br>
both the requirement for a canonical deconstruction pattern, and
also the<br>
implementation of the deconstruction pattern (as it is implemented
in terms of<br>
the accessor methods). And since the state description is
complete, we can<br>
further derive sensible default implementations of the Object
methods `equals`,<br>
`hashCode`, and `toString` in terms of the accessor methods as
well. And given<br>
that there is a canonical constructor and deconstruction pattern,
it can also<br>
participate in reconstruction. The author would just have to
provide the<br>
fields, accessor methods, and canonical constructor. This is good
progress, but<br>
we'd like to do better.<br>
<br>
What enables us to derive the rest of the implementation for
records (fields,<br>
constructor, accessor methods, and Object methods) is the
knowledge of how the<br>
representation maps to the state description. Records commit to
their state<br>
description _being_ the representation, so is is a short leap from
there to a<br>
complete implementation. <br>
<br>
To make this more concrete, let's look at a typical "almost
record" class, a<br>
carrier for the state description `(int x, int y,
Optional<String> s)` but which<br>
has made the representation choice to internally store `s` as a
nullable<br>
`String`. <br>
<br>
```<br>
class AlmostRecord { <br>
private final int x;<br>
private final int y;<br>
private final String s; // *<br>
<br>
public AlmostRecord(int x, int y, Optional<String> s) { <br>
this.x = x;<br>
this.y = y;<br>
this.s = s.orElse(null); // *<br>
}<br>
<br>
public int x() { return x; }<br>
public int y() { return y; }<br>
public Optional<String> s() { <br>
return Optional.ofNullable(s); // *<br>
}<br>
<br>
public boolean equals(Object other) { ... } // derived
from x(), y(), s()<br>
public int hashCode() { ... } // "<br>
public String toString() { ... } // "<br>
}<br>
```<br>
<br>
The main differences between this class and the expansion of its
record analogue<br>
are the lines marked with a `*`; these are the ones that deal with
the disparity<br>
between the state description and the actual representation. It
would be nice<br>
if the author of this class _only_ had to write the code that was
different from<br>
what we could derive for a record; not only would this be
pleasantly concise,<br>
but it would mean that all the code that _is_ there exists to
capture the<br>
differences between its representation and its API. <br>
<br>
## Carrier classes<br>
<br>
A _carrier class_ is a normal class declared with a state
description. As with<br>
a record, the state description is a complete, canonical, nominal
description of<br>
the class's state. In return, the language derives the same API
constraints as<br>
it does for records: canonical constructor, canonical
deconstruction pattern,<br>
and component accessor methods.<br>
<br>
class Point(int x, int y) { // class, not
record!<br>
// explicitly declared representation<br>
<br>
...<br>
<br>
// must have a constructor taking (int x, int y)<br>
// must have accessors for x and y<br>
// supports a deconstruction pattern yielding (int x, int
y)<br>
}<br>
<br>
Unlike a record, the language makes no assumptions about the
object's<br>
representation; the class author has to declare that just as with
any other<br>
class. <br>
<br>
Saying the state description is "complete" means that it carries
all the<br>
“important” state of the class -- if we were to extract this state
and recreate<br>
the object, that should yield an “equivalent” instance. As with
records, this<br>
can be captured by tying together the behavior of construction,
accessors, and<br>
equality:<br>
<br>
```<br>
Point p = ...<br>
Point q = new Point(p.x(), p.y());<br>
assert p.equals(q);<br>
```<br>
<br>
We can also derive _some_ implementation from the information we
have so far; we<br>
can derive sensible implementations of the `Object` methods
(implemented in terms<br>
of component accessor methods) and we can derive the canonical
deconstruction<br>
pattern (again in terms of the component accessor methods). And
from there, we<br>
can derive support for reconstruction (`with` expressions.)
Unfortunately, we<br>
cannot (yet) derive the bulk of the state-related implementation:
the canonical<br>
constructor and component accessor methods. <br>
<br>
### Component fields and accessor methods<br>
<br>
One of the most tedious aspects of data-holder classes is the
accessor methods;<br>
there are often many of them, and they are almost always pure
boilerplate. Even<br>
though IDEs can reduce the writing burden by generating these for
us, readers<br>
still have to slog through a lot of low-information code -- just
to learn that<br>
they didn't actually need to slog through that code after all. We
can derive<br>
the implementation of accessor methods for records because records
make the<br>
internal commitment that the components are all backed with
individual fields<br>
whose name and type align with the state description. <br>
<br>
For a carrier class, we don't know whether _any_ of the components
are directly<br>
backed by a single field that aligns to the name or type of the
component. But<br>
it is a pretty good bet that many carrier class components will do
exactly this<br>
for at least _some_ of their fields. If we can tell the language
that this<br>
correspondence is not merely accidental, the language can do more
for us.<br>
<br>
We do so by allowing suitable fields of a carrier class to be
declared as<br>
`component` fields. (As usual at this stage, syntax is
provisional, but not <br>
currently a topic for discussion.) A component field must have
the same name<br>
and type as a component of the current class (though it need not
be `private` or<br>
`final`, as record fields are.) This signals that this field _is_
the<br>
representation for the corresponding component, and hence we can
derive the<br>
accessor method for this component as well. <br>
<br>
```<br>
class Point(int x, int y) { <br>
private /* mutable */ component int x;<br>
private /* mutable */ component int y;<br>
<br>
// must have a canonical constructor, but (so far) must be
explicit<br>
public Point(int x, int y) { <br>
this.x = x;<br>
this.y = y;<br>
}<br>
<br>
// derived implementations of accessors for x and y<br>
// derived implementations of equals, hashCode, toString<br>
}<br>
```<br>
<br>
This is getting better; the class author had to bring the
representation and the<br>
mapping from representation to components (in the form of the
`component`<br>
modifier), and the canonical constructor. <br>
<br>
### Compact constructors<br>
<br>
Just as we are able to derive the accessor method implementation
if we are<br>
given an explicit correspondence between a field and a component,
we can do the<br>
same for constructors. For this, we build on the notion of
_compact<br>
constructors_ that was introduced for records. <br>
<br>
As with a record, a compact constructor in a carrier class is a
shorthand for a<br>
canonical constructor, which has the same shape as the state
description, but<br>
which is freed of the responsibility of actually committing the
ending value of<br>
the component parameters to the fields. The main difference is
that for a<br>
record, _all_ of the components are backed by a component field,
whereas for a<br>
carrier class, only some of them might be. But we can generalize
compact<br>
constructors by freeing the author of the responsibility to
initialize the<br>
_component_ fields, while leaving them responsible for
initializing the rest of<br>
the fields. In the limiting case where all components are backed
by component<br>
fields, and there is no other logic desired in the constructor,
the compact<br>
constructor may be elided. <br>
<br>
For our mutable `Point` class, this means we can elide nearly
everything, except<br>
the field declarations themselves: <br>
<br>
```<br>
class Point(int x, int y) { <br>
private /* mutable */ component int x;<br>
private /* mutable */ component int y;<br>
<br>
// derived compact constructor<br>
// derived accessors for x, y<br>
// derived implementations of equals, hashCode, toString<br>
}<br>
```<br>
<br>
We can think of this class as having an implicit empty compact
constructor,<br>
which in turn means that the component fields `x` and `y` are
initialized from<br>
their corresponding constructor parameters. There are also
implicitly derived<br>
accessor methods for each component, and implementations of
`Object` methods<br>
based on the state description. <br>
<br>
This is great for a class where all the components are backed by
fields, but<br>
what about our `AlmostRecord` class? The story here is good as
well; we can<br>
derive the accessor methods for the components backed by component
fields, and<br>
we can elide the initialization of the component fields from the
compact<br>
constructor, meaning that we _only_ have to specify the code for
the parts that<br>
deviate from the "record ideal": <br>
<br>
```<br>
class AlmostRecord(int x, <br>
int y, <br>
Optional<String> s) { <br>
<br>
private final component int x;<br>
private final component int y;<br>
private final String s;<br>
<br>
public AlmostRecord { <br>
this.s = s.orElse(null); <br>
// x and y fields implicitly initialized<br>
}<br>
<br>
public Optional<String> s() { <br>
return Optional.ofNullable(s); <br>
}<br>
<br>
// derived implementation of x and y accessors<br>
// derived implementation of equals, hashCode, toString<br>
}<br>
```<br>
<br>
Because so many real-world almost-records differ from their record
ideal in<br>
minor ways, we expect to get a significant concision benefit for
most carrier<br>
classes, as we did for `AlmostRecord`. As with records, if we
want to<br>
explicitly implement the constructor, accessor methods, or
`Object` methods, we<br>
are still free to do so. <br>
<br>
### Derived state<br>
<br>
One of the most frequent complaints about records is the inability
to derive<br>
state from the components and cache it for fast retrieval. With
carrier<br>
classes, this is simple: declare a non-component field for the
derived quantity,<br>
initialize it in the constructor, and provide an accessor: <br>
<br>
```<br>
class Point(int x, int y) { <br>
private final component int x;<br>
private final component int y;<br>
private final double norm;<br>
<br>
Point { <br>
norm = Math.hypot(x, y);<br>
}<br>
<br>
public double norm() { return norm; }<br>
<br>
// derived implementation of x and y accessors<br>
// derived implementation of equals, hashCode, toString<br>
}<br>
```<br>
<br>
### Deconstruction and reconstruction<br>
<br>
Like records, carrier classes automatically acquire deconstruction
patterns that<br>
match the canonical constructor, so we can destructure our `Point`
class as if<br>
it were a record: <br>
<br>
case Point(var x, var y): <br>
<br>
Because reconstruction (`with`) derives from a canonical
constructor and<br>
corresponding deconstruction pattern, when we support
reconstruction of records,<br>
we will also be able to do so for carrier classes:<br>
<br>
point = point with { x = 3; }<br>
<br>
## Carrier interfaces<br>
<br>
A state description makes sense on interfaces as well. It makes
the statement<br>
that the state description is a complete, canonical, nominal
description of the<br>
interface's state (subclasses are allowed to add additional
state), and<br>
accordingly, implementations must provide accessor methods for the
components.<br>
This enables such interfaces to participate in pattern matching:<br>
<br>
```<br>
interface Pair<T,U>(T first, U second) {<br>
// implicit abstract accessors for first() and second()<br>
}<br>
<br>
...<br>
<br>
if (o instanceof Pair(var a, var b)) { ... }<br>
```<br>
<br>
Along with the upcoming feature for pattern assignment in
foreach-loop headers,<br>
if `Map.Entry` became a carrier interface (which it will), we
would be able to<br>
iterate a `Map` like:<br>
<br>
for (Map.Entry(var key, var val) : map.entrySet()) { ... }<br>
<br>
It is a common pattern in libraries to export an interface that is
sealed to a<br>
single private implementation. In this pattern, the interface and<br>
implementation can share a common state description: <br>
<br>
```<br>
public sealed interface Pair<T,U>(T first, U second) { }<br>
<br>
private record PairImpl<T, U>(T first, U second) implements
Pair<T, U> { }<br>
```<br>
<br>
Compared to the old way of doing this, we get enhanced semantics,
better type<br>
checking, and more concision. <br>
<br>
### Extension<br>
<br>
The main obligation of a carrier class author is to ensure that
the fundamental<br>
claim -- that the state description is a complete, canonical,
nominal<br>
description of the object's state -- is actually true. This does
not rule out<br>
having the representation of a carrier class spread out over a
hierarchy, so<br>
unlike records, carrier classes are not required to be final or
concrete, nor<br>
are they restricted in their extension.<br>
<br>
There are several cases that arise when carrier classes can
participate in<br>
extension:<br>
<br>
- A carrier class extends a non-carrier class;<br>
- A non-carrier class extends a carrier class;<br>
- A carrier class extends another carrier class, where all of the
superclass<br>
components are subsumed by the subclass state description; <br>
- A carrier class extends another carrier class, but there are
one or more<br>
superclass components that are not subsumed by the subclass
state<br>
description.<br>
<br>
Extending a non-carrier class with a carrier class will usually be
motiviated by<br>
the desire to "wrap" a state description around an existing
hierarchy which we<br>
cannot or do not want to modify directly, but we wish to gain the
benefits of<br>
deconstruction and reconstruction. Such an implementation would
have to ensure<br>
that the class actually conforms to the state description, and
that the<br>
canonical constructor and component accessors are implemented. <br>
<br>
When one carrier class extends another, the more straightforward
case is that it<br>
simply adds new components to the state description of the
superclass. For<br>
example, given our `Point` class:<br>
<br>
```<br>
class Point(int x, int y) { <br>
component int x; <br>
component int y;<br>
<br>
// everything else for free!<br>
}<br>
```<br>
<br>
we can use this as the base class for a 3d point class: <br>
<br>
```<br>
class Point3d(int x, int y, int z) extends Point { <br>
component int z;<br>
<br>
Point3d {<br>
super(x, y);<br>
}<br>
}<br>
```<br>
<br>
In this case -- because the superclass components are all part of
the subclass<br>
state description -- we can actually omit the constructor as well,
because we<br>
can derive the association between subclass components and
superclass<br>
components, and thereby derive the needed super-constructor
invocation. So we<br>
could actually write:<br>
<br>
```<br>
class Point3d(int x, int y, int z) extends Point { <br>
component int z;<br>
<br>
// everything else for free!<br>
}<br>
```<br>
<br>
One might think that we would need some marking on the `x` and `y`
components of<br>
`Point3d` to indicate that they map to the corresponding
components of `Point`,<br>
as we did for associating component fields with their
corresponding components.<br>
But in this case, we need no such marking, because there is no way
that an `int<br>
x` component of `Point` and an `int x` component of its subclass
could possibly<br>
refer to different things -- since they both are tied to the same
`int x()`<br>
accessor methods. So we can safely infer which subclass
components are managed<br>
by superclasses, just by matching up their names and types.<br>
<br>
In the other carrier-to-carrier extension case, where one or more
superclass<br>
components are _not_ subsumed by the subclass state description,
it is necessary<br>
to provide an explicit `super` constructor call in the subclass
constructor. <br>
<br>
A carrier class may be also declared abstract; the main effect of
this is that<br>
we will not derive `Object` method implementations, instead
leaving that for the<br>
subclass to do.<br>
<br>
### Abstract records<br>
<br>
This framework also gives us an opportunity to relax one of the
restrictions on<br>
records: that records can't extend anything other than
`java.lang.Record`. We<br>
can also allow records to be declared `abstract`, and for records
to extend<br>
abstract records. <br>
<br>
Just as with carrier classes that extend other carrier classes,
there are two<br>
cases: when the component list of the superclass is entirely
contained within<br>
that of the subclass, and when one or more superclass components
are derived<br>
from subclass components (or are constant), but are not components
of the<br>
subclass itself. And just as with carrier classes, the main
difference is<br>
whether an explicit `super` call is required in the subclass
constructor. <br>
<br>
When a record extends an abstract record, any components of the
subclass that<br>
are also components of the superclass do not implicitly get
component fields in<br>
the subclass (because they are already in the superclass), and
they inherit the<br>
accessor methods from the superclass. <br>
<br>
### Records are carriers too<br>
<br>
With this framework in place, records can now be seen to be "just"
carrier<br>
classes that are implicitly final, extend `java.lang.Record`, that
implicitly<br>
have private final component fields for each component, and can
have no other<br>
fields. <br>
<br>
## Migration compatibility <br>
<br>
There will surely be some existing classes that would like to
become carrier<br>
classes. This is a compatible migration as long as none of the
mandated members<br>
conflict with existing members of the class, and the class adheres
to the<br>
requirement that the state description is a complete, canonical,
and nominal<br>
description of the object state. <br>
<br>
### Compatible evolution of records and carrier classes<br>
<br>
To date, libraries have been reluctant to use records in public
APIs because<br>
of the difficulty of evolving them compatibly. For a record: <br>
<br>
```<br>
record R(A a, B b) { }<br>
```<br>
<br>
that wants to evolve by adding new components:<br>
<br>
```<br>
record R(A a, B b, C c, D d) { }<br>
```<br>
<br>
we have several compatibility challenges to manage. As long as we
are only<br>
adding and not removing/renaming, accessor method invocations will
continue to<br>
work. And existing constructor invocations can be allowed to
continue work by<br>
explicitly adding back a constructor that has the old shape: <br>
<br>
```<br>
record R(A a, B b, C c, D d) { <br>
<br>
// Explicit constructor for old shape required<br>
public R(A a, B b) { <br>
this(a, b, DEFAULT_C, DEFAULT_D);<br>
}<br>
<br>
}<br>
```<br>
<br>
But, what can we do about existing uses of record _patterns_?
While the<br>
translation of record patterns would make adding components
binary-compatible,<br>
it would not be source-compatible, and there is no way to
explicitly add a<br>
deconstruction pattern for the old shape as we did with the
constructor. <br>
<br>
We can take advantage of the simplification offered by there being
_only_ the<br>
canonical deconstruction pattern, and allow uses of deconstruction
patterns to<br>
supply nested patterns for any _prefix_ of the component list. So
for the<br>
evolved record R: <br>
<br>
case R(P1, P2)<br>
<br>
would be interpreted as:<br>
<br>
case R(P1, P2, _, _)<br>
<br>
where `_` is the match-all pattern. This means that one can
compatibly evolve a<br>
record by only adding new components at the end, and adding a
suitable<br>
constructor for compatibility with existing constructor
invocations.<br>
<br>
</font>
</div>
</blockquote></div>