Upgrading to GraalVM 22.3.0.
# Important Notes
- Removed all deprecated `FrameSlot`, and replaced them with frame indexes - integers.
- Add more information to `AliasAnalysis` so that it also gathers these indexes.
- Add quick build mode option to `native-image` as default for non-release builds
- `graaljs` and `native-image` should now be downloaded via `gu` automatically, as dependencies.
- Remove `engine-runner-native` project - native image is now build straight from `engine-runner`.
- We used to have `engine-runner-native` without `sqldf` in classpath as a workaround for an internal native image bug.
- Fixed chrome inspector integration, such that it shows values of local variables both for current stack frame and caller stack frames.
- There are still many issues with the debugging in general, for example, when there is a polyglot value among local variables, a `NullPointerException` is thrown and no values are displayed.
- Removed some deprecated `native-image` options
- Remove some deprecated Truffle API method calls.
1-to-1 translation of the HTTPBin expected by our testsuite using Java's HttpServer.
Can be started from SBT via
```
sbt:enso> simple-httpbin/run <hostname> <port>
```
# Important Notes
@mwu-tow this will mean we can ditch Go dependency completely and replace it with the above call.
This change adds support for Version Controlled projects in language server.
Version Control supports operations:
- `init` - initialize VCS for a project
- `save` - commit all changes to the project in VCS
- `restore` - ability to restore project to some past `save`
- `status` - show the status of the project from VCS' perspective
- `list` - show a list of requested saves
# Important Notes
Behind the scenes, Enso's VCS uses git (or rather [jGit](https://www.eclipse.org/jgit/)) but nothing stops us from using a different implementation as long as it conforms to the establish API.
- Added expression ANTLR4 grammar and sbt based build.
- Added expression support to `set` and `filter` on the Database and InMemory `Table`.
- Added expression support to `aggregate` on the Database and InMemory `Table`.
- Removed old aggregate functions (`sum`, `max`, `min` and `mean`) from `Column` types.
- Adjusted database `Column` `+` operator to do concatenation (`||`) when text types.
- Added power operator `^` to both `Column` types.
- Adjust `iif` to allow for columns to be passed for `when_true` and `when_false` parameters.
- Added `is_present` to database `Column` type.
- Added `coalesce`, `min` and `max` functions to both `Column` types performing row based operation.
- Added support for `Date`, `Time_Of_Day` and `Date_Time` constants in database.
- Added `read` method to InMemory `Column` returning `self` (or a slice).
# Important Notes
- Moved approximate type computation to `SQL_Type`.
- Fixed issue in `LongNumericOp` where it was always casting to a double.
- Removed `head` from InMemory Table (still has `first` method).
Implements https://www.pivotaltracker.com/story/show/182307143
# Important Notes
- Modified standard library Java helpers dependencies so that `std-table` module depends on `std-base`, as a provided dependency. This is allowed, because `std-table` is used by the `Standard.Table` Enso module which depends on `Standard.Base` which ensures that the `std-base` is loaded onto the classpath, thus whenever `std-table` is loaded by `Standard.Table`, so is `std-base`. Thus we can rely on classes from `std-base` and its dependencies being _provided_ on the classpath. Thanks to that we can use utilities like `Text_Utils` also in `std-table`, avoiding code duplication. Additional advantage of that is that we don't need to specify ICU4J as a separate dependency for `std-table`, since it is 'taken' from `std-base` already - so we avoid including it in our build packages twice.
This change adds support for matching on constants by:
1) extending parser to allow literals in patterns
2) generate branch node for literals
Related to https://www.pivotaltracker.com/story/show/182743559
Updated the SQLite, PostgreSQL and Redshift drivers.
# Important Notes
Updated the API for Redshift and proved able to connect without the ini file workaround.
Hooking up Reporting_Stream_Encoder_Spec reveals missing renaming.
Also removed one more `here.` that wasn't run in tests.
Kudos to @radeusgd for finding those!
This PR adds sources for Enso language support in IGV (and NetBeans). The support is based on TextMate grammar shown in the editor and registration of the Enso language so IGV can find it. Then this PR adds new GitHub Actions workflow file to build the project using Maven.
New plan to [fix the `sbt` build](https://www.pivotaltracker.com/n/projects/2539304/stories/182209126) and its annoying:
```
log.error(
"Truffle Instrumentation is not up to date, " +
"which will lead to runtime errors\n" +
"Fixes have been applied to ensure consistent Instrumentation state, " +
"but compilation has to be triggered again.\n" +
"Please re-run the previous command.\n" +
"(If this for some reason fails, " +
s"please do a clean build of the $projectName project)"
)
```
When it is hard to fix `sbt` incremental compilation, let's restructure our project sources so that each `@TruffleInstrument` and `@TruffleLanguage` registration is in individual compilation unit. Each such unit is either going to be compiled or not going to be compiled as a batch - that will eliminate the `sbt` incremental compilation issues without addressing them in `sbt` itself.
fa2cf6a33ec4a5b2e3370e1b22c2b5f712286a75 is the first step - it introduces `IdExecutionService` and moves all the `IdExecutionInstrument` API up to that interface. The rest of the `runtime` project then depends only on `IdExecutionService`. Such refactoring allows us to move the `IdExecutionInstrument` out of `runtime` project into independent compilation unit.
- Change dev profile settings. Improves build performance; will not affect anything else. Details below.
- Introduce script for benchmarking various incremental builds. Usage is explained in the script comments.
- Add a line to `intervals` showing total main-thread CPU work logged in a profile; this can be used to compare the results of optimizations (I'll be starting a discussion informed by that data separately; this change just enables the tooling to report it).
In order to analyse why the `runner.jar` is slow to start, let's _"self sample"_ it using the [sampler library](https://bits.netbeans.org/dev/javadoc/org-netbeans-modules-sampler/org/netbeans/modules/sampler/Sampler.html). As soon as the `Main.main` is launched, the sampling starts and once the server is up, it writes its data into `/tmp/language-server.npss`.
Open the `/tmp/language-server.npss` with [VisualVM](https://visualvm.github.io) - you should have one copy in your
GraalVM `bin/jvisualvm` directory and there has to be a GraalVM to run Enso.
#### Changelog
- add: the `MethodsSampler` that gathers information in `.npss` format
- add: `--profiling` flag that enables the sampler
- add: language server processes the updates in batches
This PR replaces hard-coded `@Builtin_Method` and `@Builtin_Type` nodes in Builtins with an automated solution
that a) collects metadata from such annotations b) generates `BuiltinTypes` c) registers builtin methods with corresponding
constructors.
The main differences are:
1) The owner of the builtin method does not necessarily have to be a builtin type
2) You can now mix regular methods and builtin ones in stdlib
3) No need to keep track of builtin methods and types in various places and register them by hand (a source of many typos or omissions as it found during the process of this PR)
Related to #181497846
Benchmarks also execute within the margin of error.
### Important Notes
The PR got a bit large over time as I was moving various builtin types and finding various corner cases.
Most of the changes however are rather simple c&p from Builtins.enso to the corresponding stdlib module.
Here is the list of the most crucial updates:
- `engine/runtime/src/main/java/org/enso/interpreter/runtime/builtin/Builtins.java` - the core of the changes. We no longer register individual builtin constructors and their methods by hand. Instead, the information about those is read from 2 metadata files generated by annotation processors. When the builtin method is encountered in stdlib, we do not ignore the method. Instead we lookup it up in the list of registered functions (see `getBuiltinFunction` and `IrToTruffle`)
- `engine/runtime/src/main/java/org/enso/interpreter/runtime/callable/atom/AtomConstructor.java` has now information whether it corresponds to the builtin type or not.
- `engine/runtime/src/main/scala/org/enso/compiler/codegen/RuntimeStubsGenerator.scala` - when runtime stubs generator encounters a builtin type, based on the @Builtin_Type annotation, it looks up an existing constructor for it and registers it in the provided scope, rather than creating a new one. The scope of the constructor is also changed to the one coming from stdlib, while ensuring that synthetic methods (for fields) also get assigned correctly
- `engine/runtime/src/main/scala/org/enso/compiler/codegen/IrToTruffle.scala` - when a builtin method is encountered in stdlib we don't generate a new function node for it, instead we look it up in the list of registered builtin methods. Note that Integer and Number present a bit of a challenge because they list a whole bunch of methods that don't have a corresponding method (instead delegating to small/big integer implementations).
During the translation new atom constructors get initialized but we don't want to do it for builtins which have gone through the process earlier, hence the exception
- `lib/scala/interpreter-dsl/src/main/java/org/enso/interpreter/dsl/MethodProcessor.java` - @Builtin_Method processor not only generates the actual code fpr nodes but also collects and writes the info about them (name, class, params) to a metadata file that is read during builtins initialization
- `lib/scala/interpreter-dsl/src/main/java/org/enso/interpreter/dsl/MethodProcessor.java` - @Builtin_Method processor no longer generates only (root) nodes but also collects and writes the info about them (name, class, params) to a metadata file that is read during builtins initialization
- `lib/scala/interpreter-dsl/src/main/java/org/enso/interpreter/dsl/TypeProcessor.java` - Similar to MethodProcessor but handles @Builtin_Type annotations. It doesn't, **yet**, generate any builtin objects. It also collects the names, as present in stdlib, if any, so that we can generate the names automatically (see generated `types/ConstantsGen.java`)
- `engine/runtime/src/main/java/org/enso/interpreter/node/expression/builtin` - various classes annotated with @BuiltinType to ensure that the atom constructor is always properly registered for the builitn. Note that in order to support types fields in those, annotation takes optional `params` parameter (comma separated).
- `engine/runtime/src/bench/scala/org/enso/interpreter/bench/fixtures/semantic/AtomFixtures.scala` - drop manual creation of test list which seemed to be a relict of the old design
* Initial integration with Frgaal in sbt
Half-working since it chokes on generated classes from annotation
processor.
* Replace AutoService with ServiceProvider
For reasons unknown AutoService would fail to initialize and fail to
generate required builtin method classes.
Hidden error message is not particularly revealing on the reason for
that:
```
[error] error: Bad service configuration file, or exception thrown while constructing Processor object: javax.annotation.processing.Processor: Provider com.google.auto.service.processor.AutoServiceProcessor could not be instantiated
```
The sample records is only to demonstrate that we can now use newer Java
features.
* Cleanup + fix benchmark compilation
Bench requires jmh classes which are not available because we obviously
had to limit `java.base` modules to get Frgaal to work nicely.
For now, we default to good ol' javac for Benchmarks.
Limiting Frgaal to runtime for now, if it plays nicely, we can expand it
to other projects.
* Update CHANGELOG
* Remove dummy record class
* Update licenses
* New line
* PR review
* Update legal review
Co-authored-by: Radosław Waśko <radoslaw.wasko@enso.org>
