The ability to capture per-call-site computation so it could be done exactly once (including generating an MH to describe it) has been part of the goal all along.  The JEP is deliberately cagey about this because we didn't want to descend down the translation rabbit hole before we'd achieved consensus on the broad strokes, any more than we wanted to descend down the syntax rabbit hole.

(FWIW, all of these side-paths were ones we already traveled and rejected for various reasons :)

As you correctly point out, without something like type classes, associating a static method like a bootstrap with a class requires committing some sort of sin, such as the "magic names" sins committed by serialization.  We surely didn't want to do that either.

- we also want to be able to instantiate regex Pattern,
   and have a magic optimisation that creates the Pattern instance only one

   Pattern pattern = Pattern."foo|bar";

You said the magic anti-word, which is "magic".  We don't want this to be magic.  (Examples like this are better treated as a form of optimistic constant folding, along the lines explored at my JVMLS talk a few years ago.)

Summary: wait for constant folding.

I think the simplest way to specify an interpolation method is to have a method 
with a special name,
i will use __interpolate__ because i don't want to discuss the exact syntax 
here.

This is committing the same "magic name" sin as serialization. We deliberately avoided this in the design.  When we have type classes, we'll be able to use that as a way to bridge from a type name to a witness to a particular class.  Our design was crafted so that it could be gracefully extended to such a mechanism, when it is available (using a type name instead of an instance reference at the use site.)

Summary: wait for type classes.

That's why the specification allow you to provide a second more optimised 
version of the interpolation method using a method __interpolate__bootstrap__.

This is an obviously attractive goal, but the mechanism is way too ad-hoc -- and also too limited -- and also too advanced to be a language feature.  Bootstraps are way too complicated to expose in the source language in this way, especially not this magically.  And its too ad-hoc, since its specific to the interpolation feature, whereas one could imagine a number of other contexts where it is useful too.  So this is a bad tradeoff in many ways.  Jim's implementation very cleverly gets the equivalent of this using pure library implementation (which leans on MutableCallSite.)

While it is surely a desirable goal to be able to optimize formatter implementation, it is also super-easy to become obsessed with this, and give it a bigger place in the feature than it deserves.  For some cases -- notably String::format -- there are huge savings to be had (from a number of sources, not least of which is that scanning the string at every invocation and choosing a strategy based on that is expensive.)  But in other cases, it is almost irrelevant.  For pure concatenation, it is already pretty fast; for SQL, the cost of constructing the query is a tiny part of the execution time, so its not even worth optimizing.  So this is a "nice to have" rather than the centerpiece of the feature.

To be clear, the centerpiece is the gathering up of a template + parameters so that their combination can be handled by another entity, whether right now, later, or never.  Optimizing the case where it is done right now, using a predictable choice of entity, is an optimization, but not the centerpiece.

Let me sketch out how we're envisioning this.  The API is something like:

    interface TemplatePolicy<T, E extends Exception> {
        T apply(TemplatedString ts);

        // returns MethodHandle (TemplatePolicy, TemplatedString) -> Object
        default MethodHandle asMethodHandle(TemplatedString ts) {
            return MH[TemplatePolicy::apply]
        }
    }

The API specification has a number of constraints on the implementation of asMethodHandle, which I'll get to in a second.  When the compiler encounters an immediate application P."...", it generates an indy, which uses a special bootstrap that returns a MutableCallSite.  The MutableCallSite initially has as its target a special secondary bootstrap MH, which represents an interpolation site that has not yet seen an actual invocation.  The secondary bootstrap MH has the shape of TemplatePolicy::apply (e.g., (TemplatePolicy, TemplatedString) -> Object), so on first invocation it receives the TP object and the TS.  It then calls TP::asMethodHandle, and wraps this MH with a GWT which validates the invariants and proceeds to that MH if they hold -- which they will 99.x% of the time.

The invariant is that the dynamic type of the per-instantiation TP be == to the dynamic type of the TP that was present at secondary linkage.  That is, it be an instance of the same class, but not the same instance.  By definition, the string will always be the same as will the types of the parameters, since this is specific to concrete P."..." sites.  So the MH can take advantage of that.

The constraint on TP::asMethodHandle is that it not undermine this invariant; that if it generates a MH that is dependent on TP state, it not bake that state into the resulting MH, but instead, treat the TP state as a parameter.  Further, the MH must be behaviorally equivalent to calling apply.

If the GWT fails, it means the user is doing something like:

    for (TP p : listOfProcessors) {
        blah blah p."foo \{a}"
    }

in which case the GWT falls back to the "just do an invokevirtual of TP::apply" strategy.  (It could get fancier but I don't see any point.)

This lets us rescue indy-based translation without exposing a magic indy-hook in the JLS.  (Sorry, I know you wanted the magic indy hook.)





On 10/13/2021 1:09 PM, Remi Forax wrote:
Hi everybody, i've spend some time to think how the String interpolation + 
Policy should be specified and implemented.


The goal is to add a syntax specifying a user defined method to "interpolate" 
(for a lack of better word) a string with arguments.

Given that it's a method, the exact semantics of the interpolation, things like 
how the arguments are escaped, how the formatted string is parsed, is written 
is Java, this will allow to support a wide range of use cases.

This proposal does not differ from the original proposal of Brian and Jim in 
its goal but in the way a user declare the interpolation method(s).

TLDR; you can declare an interpolation method and optionally an interpolation 
bootstrap method if you want a more efficient code at the price of having to 
play with the method handle API.

---

The proposal of Brian and Jim uses an interface to define the policy but in 
this case, using an interface is not what we want.
I think there are two main reasons,
- the interpolation method can be an instance method but can also be a factory 
method, a static method, and an interface can not constraint a static method.
- we want the signature of the interpolation method to be free to use any 
number of parameters of any types, something that can not be specified with 
type parameters in Java.

So let's take a step back and write some examples, as a user of the 
interpolation method, we want to
- be able to specify string interpolation,
   you can notice that this is a static method.

   String name = ...
   int value = ...
   String s = String."name: \(name) age: \(age)";


- we also want to be able to instantiate regex Pattern,
   and have a magic optimisation that creates the Pattern instance only one

   Pattern pattern = Pattern."foo|bar";

- we also want to support instance method, so the interpolation can escape the 
arguments differently depending on the context,
   here by example, escaping differently depending on the database driver.

   String username = ...
   Connection connection = ...
   connection."""
     SELECT * FROM users where user == "\(username)"
     """;

I think the simplest way to specify an interpolation method is to have a method 
with a special name,
i will use __interpolate__ because i don't want to discuss the exact syntax 
here.

This method can be a static method or an instance method and has a restriction, 
the first parameter has to be a String because the first argument is the 
formatted string.

Here is an example of how the method __interpolate__ inside java.lang.String 
can be written.
To avoid everybody to re-implement the parsing of the formatted string, the class 
java.lang.runtime.InterpolateMetafactory provides a helper method 
"formatIterator" that returns an iterator splitting the formatted string into 
text and binding.


   package java.lang;

   public class String {
     ...
     public static String __interpolate__(String format, Object... args) {
       var i = 0;
       var builder = new StringBuilder();
       var iterator = InterpolateMetafactory.formatIterator(format);
       while(iterator.hasNext()) {
         switch(iterator.next()) {
           case Text(var text) -> builder.append(text);
           case Binding binding -> args[i++];
         }
       }
       return builder.toString();
     }
     ...
   }

While this is nice, you may think that it's just syntactic sugar and it will 
not be more performant that String.valueOf(), i.e. it will be slow.

That's why the specification allow you to provide a second more optimised 
version of the interpolation method using a method __interpolate__bootstrap__.
This method __interpolate__bootstrap__ is not required, can not replace the 
method __interpolate__, both __interpolate__ and __interpolate__bootstrap__
has to be present and it's a backward compatible change to add a method 
__interpolate__bootstrap__ after the fact, there is no need to recompile
all the client code.

For that the compiler translation rely on invokedynamic to call the method 
bootstrap of the class InterpolateMetafactor that at runtime decide
to trampoline either to the method __interpolate__bootstrap__ or to the method 
__interpolate__ if no __interpolate__bootstrap__ exists.

Here is an example of how a call to the interpolation method of String is 
generated by javac
For the Java code

   String name = ...
   int value = ...
   String s = String."name: \(name) age: \(age)";

the equivalent bytecode is

   aload_1.  // load name
   iload_2.  // load age
   invokedynamic __interpolate__ (Ljava/lang/StringI)Ljava/lang/String;
     java.lang.runtime.InterpolateMetafactory.bootstrap(Lookup, String, 
MethodType, String, MethodHandle):CallSite
     [ "name: \(name) age: \(age)", String::__interpolate__(String, 
Object[]):String ]

 From the perspective of the compiler the method __interpolate__ works exactly 
like a method with a polymorphic method signature (the method annotated with 
@PolymorphicSignature),
so the descriptor of invokedynamic is created by collecting the type of the 
argument, here the interpolation method is called with a String and an int, so 
the descriptor
and the return type is String so the descriptor is 
(Ljava/lang/StringI)Ljava/lang/String;

Considering the interpolation method as a polymorphic method is important in 
term of performance because it means that not boxing will be done by the 
compiler, if there are some boxing, they will be done by the runtime, so are 
optional if the __interpolate__bootstrap__ does not need to box arguments.

You can also notice that the formatted string is passed as a bootstrap constant 
so all the parsing of the format can be done once outside of the hot path.
A call to invokedynamic also pass as a second bootstrap argument the method 
handle to the method __interpolate__, so the implementation inside 
InterpolateMetafactory.bootstrap can called this method if no method 
__interpolate__bootstrap__ exists.


Here is a raw implementation of the class InterpolateMetafactory.
The method formatIterator() return an Iterator of Token which is a sealed class.
The method bootstrap() first lookup to a method "__interpolate__bootstrap__" in 
the lookup class that takes a Lookup, a String, a MethodType, the format and the default 
implementation and call it if it exists or takes the default implementation, bind the 
formatted String and adapt the arguments using asType (ask for boxing, etc).

    package java.lang.runtime;

    public class InterpolateMetafactory {
      public sealed interface Token {
        public record Text(String text) implements Token {}
        public record Binding(String name) implements Token {}
      }


      public static Iterator<Token> formatIterator(String format) {
        ...
      }

      public static CallSite bootstrap(Lookup lookup, String name, MethodType 
methodType, String format, MethodHandle impl) throws Throwable {
        // check if there is a bootstrap method
        MethodHandle bootstrap;
        try {
           bootstrap = lookup.findStatic(lookup.lookupClass(), 
"__interpolate__bootstrap__", MethodType.methodType(CallSite.class, 
Lookup.class, String.class, MethodType.class, String.class, MethodHandle.class));
        } catch(NoSuchMethodException e) {
          // bind the default implementation
          return new ConstantCallSite(impl.bindTo(format).asType(methodType));
        }
        return boostrap.invoke(lookup, name, methodType, format, impl);
      }
    }


Here is another example, showing how to declare the methods __interpolate__ and 
__interpolate__bootstrap__ inside java.util.regex.Pattern.
The "default" implementation calls Pattern.compile() and the optimized one 
always returns the result of Pattern.compile() as a constant.

   package java.util.regex;

   public class Pattern {
     public static String __interpolate__(String format) {. // the formatted 
string can not have arguments
       return Pattern.compile(format);
     }
private static CallSite __interpolate__bootstrap__(Lookup lookup, String name, MethodType methodType, String format, MethodHandle impl) {
       return new ConstantCallSite(MethodHandles.constant(Pattern.class, 
Pattern.compile(format)));
     }
   }


The method __interpolate__ provides via its signature, the parameter types that 
are verified by the compiler.
It also provides a code that can be used by the tools that does static analysis 
on the bytecode because those tools can not see through the method handle 
returned by a bootstrap method given that it's a runtime construct, it's 
usually not available at the time the static analysis is done. This should be 
enough to have tools like Graal VM native image to see through the 
invokedynamic in a similar way it sees through the invokedynamic used when 
creating a lambda.

The fact that all invokedynamic goes through the method 
InterpolateMetafactory.bootstrap and trampoline from it means that adding or 
removing the method __interpolate__bootstrap__ is a binary compatible change, 
if __interpolate__bootstrap__ is declared private. So implementing 
__interpolate__bootstrap__ can be an afterthought.

regards,
Rémi

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