Clone Tools
  • last updated a few seconds ago
Constraints
Constraints: committers
 
Constraints: files
Constraints: dates
Rework how the compiler plugin is loaded

The previous implementation had a performance regression due to the inclusion of `tools.jar`

on the worker classpath. Some classes of the Java compiler were loaded multiple times. To

avoid this, we need to separate the compiler plugin from Gradle itself, so that we can load

it in isolation in the same classloader as the loader which has `tools.jar`.

Therefore, the compiler plugin is restricted to plain Java APIs, and the "communication"

with Gradle, for example the intelligence of relativizing paths or writing the generated

mapping file, is done passing lambdas to the compiler.

Last but not least, this also means that the construction of the incremental compile task

has to be done via reflection (otherwise we would load the task in the wrong classloader).

  1. … 21 more files in changeset.
Rework how the compiler plugin is loaded

The previous implementation had a performance regression due to the inclusion of `tools.jar`

on the worker classpath. Some classes of the Java compiler were loaded multiple times. To

avoid this, we need to separate the compiler plugin from Gradle itself, so that we can load

it in isolation in the same classloader as the loader which has `tools.jar`.

Therefore, the compiler plugin is restricted to plain Java APIs, and the "communication"

with Gradle, for example the intelligence of relativizing paths or writing the generated

mapping file, is done passing lambdas to the compiler.

Last but not least, this also means that the construction of the incremental compile task

has to be done via reflection (otherwise we would load the task in the wrong classloader).

  1. … 21 more files in changeset.
Rework how the compiler plugin is loaded

The previous implementation had a performance regression due to the inclusion of `tools.jar`

on the worker classpath. Some classes of the Java compiler were loaded multiple times. To

avoid this, we need to separate the compiler plugin from Gradle itself, so that we can load

it in isolation in the same classloader as the loader which has `tools.jar`.

Therefore, the compiler plugin is restricted to plain Java APIs, and the "communication"

with Gradle, for example the intelligence of relativizing paths or writing the generated

mapping file, is done passing lambdas to the compiler.

Last but not least, this also means that the construction of the incremental compile task

has to be done via reflection (otherwise we would load the task in the wrong classloader).

  1. … 21 more files in changeset.
Rework how the compiler plugin is loaded

The previous implementation had a performance regression due to the inclusion of `tools.jar`

on the worker classpath. Some classes of the Java compiler were loaded multiple times. To

avoid this, we need to separate the compiler plugin from Gradle itself, so that we can load

it in isolation in the same classloader as the loader which has `tools.jar`.

Therefore, the compiler plugin is restricted to plain Java APIs, and the "communication"

with Gradle, for example the intelligence of relativizing paths or writing the generated

mapping file, is done passing lambdas to the compiler.

Last but not least, this also means that the construction of the incremental compile task

has to be done via reflection (otherwise we would load the task in the wrong classloader).

  1. … 21 more files in changeset.
WIP

  1. … 17 more files in changeset.
WIP

  1. … 20 more files in changeset.
Rework how the compiler plugin is loaded

The previous implementation had a performance regression due to the inclusion of `tools.jar`

on the worker classpath. Some classes of the Java compiler were loaded multiple times. To

avoid this, we need to separate the compiler plugin from Gradle itself, so that we can load

it in isolation in the same classloader as the loader which has `tools.jar`.

Therefore, the compiler plugin is restricted to plain Java APIs, and the "communication"

with Gradle, for example the intelligence of relativizing paths or writing the generated

mapping file, is done passing lambdas to the compiler.

Last but not least, this also means that the construction of the incremental compile task

has to be done via reflection (otherwise we would load the task in the wrong classloader).

  1. … 21 more files in changeset.
Rework how the compiler plugin is loaded

The previous implementation had a performance regression due to the inclusion of `tools.jar`

on the worker classpath. Some classes of the Java compiler were loaded multiple times. To

avoid this, we need to separate the compiler plugin from Gradle itself, so that we can load

it in isolation in the same classloader as the loader which has `tools.jar`.

Therefore, the compiler plugin is restricted to plain Java APIs, and the "communication"

with Gradle, for example the intelligence of relativizing paths or writing the generated

mapping file, is done passing lambdas to the compiler.

Last but not least, this also means that the construction of the incremental compile task

has to be done via reflection (otherwise we would load the task in the wrong classloader).

  1. … 21 more files in changeset.
Rework how the compiler plugin is loaded

The previous implementation had a performance regression due to the inclusion of `tools.jar`

on the worker classpath. Some classes of the Java compiler were loaded multiple times. To

avoid this, we need to separate the compiler plugin from Gradle itself, so that we can load

it in isolation in the same classloader as the loader which has `tools.jar`.

Therefore, the compiler plugin is restricted to plain Java APIs, and the "communication"

with Gradle, for example the intelligence of relativizing paths or writing the generated

mapping file, is done passing lambdas to the compiler.

Last but not least, this also means that the construction of the incremental compile task

has to be done via reflection (otherwise we would load the task in the wrong classloader).

  1. … 21 more files in changeset.
Rework how the compiler plugin is loaded

The previous implementation had a performance regression due to the inclusion of `tools.jar`

on the worker classpath. Some classes of the Java compiler were loaded multiple times. To

avoid this, we need to separate the compiler plugin from Gradle itself, so that we can load

it in isolation in the same classloader as the loader which has `tools.jar`.

Therefore, the compiler plugin is restricted to plain Java APIs, and the "communication"

with Gradle, for example the intelligence of relativizing paths or writing the generated

mapping file, is done passing lambdas to the compiler.

Last but not least, this also means that the construction of the incremental compile task

has to be done via reflection (otherwise we would load the task in the wrong classloader).

  1. … 21 more files in changeset.
WIP

  1. … 20 more files in changeset.
WIP

  1. … 4 more files in changeset.
WIP

  1. … 4 more files in changeset.
WIP

  1. … 6 more files in changeset.
WIP

  1. … 19 more files in changeset.
WIP

  1. … 20 more files in changeset.
WIP

  1. … 5 more files in changeset.
WIP

  1. … 6 more files in changeset.
WIP

  1. … 6 more files in changeset.
WIP

  1. … 6 more files in changeset.
Remove unused `org.gradle.groovy.compilation.avoidance`

  1. … 1 more file in changeset.
experimental

Change daemon memory (exp)

Increase daemon memory for largeJavaMultiproject

Not increase compiler memory

Try increasing performance test memory

  1. … 3 more files in changeset.
Try increasing performance test memory

  1. … 2 more files in changeset.
Increase LARGE_JAVA_MULTI_PROJECT daemon memory to 3g

Increase LARGE_JAVA_MULTI_PROJECT daemon memory to 2g

Increase LARGE_JAVA_MULTI_PROJECT daemon memory to 3g