In this commit, I both restore some sbt 1.2.8 behavior and enhance the
api for setting keyboard shortcuts in watch. I change the default start
message to just show the watch count, the tasks that are being monitored
and, on a new line, the instructions to terminate the watch or show more
options.
Here's what it looks like:
[info] 1. Monitoring source files for spark/compile...
[info] Press <enter> to interrupt or '?' for more options.
?
[info] Options:
[info] <enter> : interrupt (exits sbt in batch mode)
[info] <ctrl-d> : interrupt (exits sbt in batch mode)
[info] 'r' : re-run the command
[info] 's' : return to shell
[info] 'q' : quit sbt
[info] '?' : print options
I also made it so that the new options can be added (and old options
removed) with the watchInputOptions key. For example, to add an option
to reload the build with the key 'l', you could add
ThisBuild / watchInputOptions += Watch.InputOption('l', "reload", Watch.Reload)
to your global build.sbt.
After adding that to my global ~/sbt/1.0/global.sbt file, the output of
'?' became:
[info] Options:
[info] <ctrl-d> : interrupt (exits sbt in batch mode)
[info] <enter> : interrupt (exits sbt in batch mode)
[info] '?' : print options
[info] 'l' : reload
[info] 'q' : quit sbt
[info] 'r' : re-run the command
[info] 's' : return to shell
At the suggestion of @eed3si9n, instead of specifying the file cache
size in bytes, we now specify it in a formatted string. For example,
instead of specifying 128 megabytes in bytes (134217728), we can specify
it with the string "128M".
It can be quite slow to read and parse a large json file. Often, we are
reading and writing the same file over and over even though it isn't
actually changing. This is particularly noticeable with the
UpdateReport*. To speed this up, I introduce a global cache that can be
used to read values from a CacheStore. When using the cache, I've seen
the time for the update task drop from about 200ms to about 1ms. This
ends up being a 400ms time savings for test because update is called for
both Compile / compile and Test / compile.
The way that this works is that I add a new abstraction
CacheStoreFactoryFactory, which is the most enterprise java thing I've
ever written. We store a CacheStoreFactoryFactory in the sbt State.
When we make Streams for the task, we make the Stream's
cacheStoreFactory field using the CacheStoreFactoryFactory. The
generated CacheStoreFactory may or may not refer to a global cache.
The CacheStoreFactoryFactory may produce CacheStoreFactory instances
that delegate to a Caffeine cache with a max size parameter that is
specified in bytes by the fileCacheSize setting (which can also be set
with -Dsbt.file.cache.size). The size of the cache entry is estimated by
the size of the contents on disk. Since we are generally storing things
in the cache that are serialized as json, I figure that this should be a
reasonable estimate. I set the default max cache size to 128MB, which is
plenty of space for the previous cache entries for most projects. If the
size is set to 0, the CacheStoreFactoryFactory generates a regular
DirectoryStoreFactory.
To ensure that the cache accurately reflects the disk state of the
previous cache (or other cache's using a CacheStore), the Caffeine cache
stores the last modified time of the file whose contents it should
represent. If there is a discrepancy in the last modified times (which
would happen if, say, clean has been run), then the value is read from
disk even if the value hasn't changed.
* With the following build.sbt file, it takes roughly 200ms to read and
parse the update report on my compute:
libraryDependencies += "org.apache.spark" %% "spark-sql" % "2.4.3"
libraryDependencies += "org.scalatest" %% "scalatest" % "3.0.1"
This is because spark-sql has an enormous number of dependencies and the
update report ends up being 3MB.
Fixes#4802
For Ivy integration sbt uses credential task in a peculiar way. 9fa25de84c/main/src/main/scala/sbt/Defaults.scala (L2271-L2275)
This lets the build user put `credential` task in various places, like metabuild or root project, but they would all act as if they were scoped globally. This PR adds `allCredentials` task to emulate the behavior to pass credentials into lm-coursier.
This Resolver had the same name as the typesafe ivy resolver specified
in the launcher boot.properties. It was creating a number of verbose
warnings about having multiple resolvers with the same name. I noticed
that the ivy pattern is slightly different for the boot resolver with
this name. It didn't seem to be causing any problems to have both
resolvers.
Fixes#4839
I noticed that for a simple spark project that evaluating the test task
was faster than running run when both tasks evaluated the same code
block. I tracked this down to the BackgroundJobService.copyClasspath
method. This method was hashing the jar contents of all of the files in
the build. On my computer, this took 600ms (for context, the total run
time of the `run` task was around 1.2 seconds, which included about
150ms of scala compiling and 350ms of time in the main method). If
instead we use the last modified time it drops down to 5-10ms. As
predicted, the total runtime of `run` in this project dropped down to
600ms which was on par with `test`.
I am not sure why a hash was used rather than last modified in the first place,
so I reworked things in such a way that, by default, sbt will use a hash
but if turbo mode is on, it will use the last modified instead. We can
revisit the default later.
The multi parser had very poor performance if there were many commands.
Evaluating the expansion of something like "compile;" * 30 could cause
sbt to hang indefinitely. I believe this was due to excessive
backtracking due to the optional `(parser <~ semi.?).?` part of the
parser in the non-leading semicolon case.
I also reworked the implementation so that the multi command now has a
name. This allows us to partition the commands into multi and non-multi
commands more easily in State while still having multi in the command
list. With this change, builds and plugins can exclude the multi parser
if they wish.
Using the partitioned parsers, I removed the high/priority low priority
distinction. Instead, I made it so that the multi command will actually
check if the first command is a named command, like '~'. If it is, it
will pass the raw command argument with the named command stripped out
into the parser for the named command. If that is parseable, then we
directly apply the effect. Otherwise we prefix each multi command to the
state.
The `session save` command has the side effect of modifying a "*.sbt"
file so we don't want to warn about changes or automatically reload when
we return to the shell. Setting the hasCheckedMetaBuild attribute key to
false is sufficient to prevent this.
Ref: https://github.com/sbt/sbt/issues/4813
It didn't really make sense for Continuous to use the other command
parser and then reparse the results. I was able to slightly simplify
things by using the multi parser directly.
It was reported in https://github.com/sbt/sbt/issues/4808 that compared
to 1.2.8, sbt 1.3.0-RC2 will truncate the command args of an input task
that contains semicolons. This is actually intentional, but not
completely robust. For sbt >= 1.3.0, we are making ';' syntactically
meaningful. This means that it always represents a command separator
_unless_ it is inside of a quoted string. To enforce this, the multi parser
will effectively split the input on ';', it will then validate that each
command that it extracted is valid. If not, it throws an exception. If
the input is not a multi command, then parsing fails with a normal
failure.
I removed the multi command from the state's defined commands and reworked
State.combinedParser to explicitly first try multi parsing and fall back
to the regular combined parser if it is a regular command. If the multi
parser throws an uncaught exception, parsing fails even if the regular
parser could have successfully parsed the command. The reason is so that
we do not ever allow the user to evaluate, say 'run a;b'. Otherwise the
behavior would be inconsitent when the user runs 'compile; run a;b'
It's very expensive to compute the hash code of a deeply nested
Incomplete. To prevent a loop, we only want to check for object equality
which we can do with IdentityHashMap
It didn't make sense to aggregate the watch start command if it was
defined in multiple sources so we previously just fell back to the
default message if multiple commands were being run. This, however,
meant that if you ran, say, ~compile in an aggregate project, it wasn't
possible to customize the start message. There was a message in the
sbt gitter channel where someone found the new message too verbose and
wanted to print something shorter and I realized that this was an
unfortunate restriction. Instead of giving up, we can just use the
project's watchStartMessage as a default. If the watchStartMessage
setting is unset for some reason, we can fall back to the default.
I validated this change manually in the swoval project, which has an
aggregate root project, by running
set ThisBuild / watchStartMessage := { (_, _, _) => None }
and indeed nothing was printed after each task evaluation in '~compile'.
We discovered that turbo mode did not work in the sbt settings project.
I tracked this down to the dependency classloader bundle not being
thread safe.
I realized that some builds may crash if we automatically close the
classloaders. While I do think that is a good thing in general that we
are closing the loaders by default, we shuold have an option for
supressing this behavior.
I made all of the custom classloaders that we define for test and run
check this property before calling the super.close method.
We want to notify users about the new features available in sbt 1.3.0 to
increase visibility. Turbo mode especially can benefit many builds, but
we have opted to leave it off by default for now.
The banner will be displayed the first time sbt enters the shell command
on each sbt run. The banner can be disabled globally with the sbt.banner
system property. It can be displayed on a per sbt version by running the
skipWelcomeBanner command. That command touches a file in the ~/.sbt/1.0
directory to make it persistent across all projects.
I decided creations/deletions/updates were a bit too technical rather
than descriptive. It also wasn't really correct to say Meta build
sources because the meta build is the build for the build. Instead, I
dropped Meta from the sentence. I also made the instructions when
changed sources are detected more active. I left them capitalized since
they are instructions rather than warnings.
Apply these changes by running `reload`.
Automatically reload the build when source changes are detected by setting `Global / onChangedBuildSource := ReloadOnSourceChanges`.
Disable this warning by setting `Global / onChangedBuildSource := IgnoreSourceChanges`.
Also indentation was wrong for the printed files when multiple files had
changed because the mkString middle argument was " \n" rather than "\n ".
This creates a performance mode that enables experimental or advanced features that might require some debugging by the build user when it doesn't work.
Initially we are putting the layered ClassLoader (`ClassLoaderLayeringStrategy.AllLibraryJars`) behind this flag.
My first attempt, cc8c66c66d, at making
java reflection work with a layered classloader with a dependency jar
layer was a failure. It would generally work ok the first time the user
ran test, but was likely to fail on a second run.
There were a number of problems with the strategy:
1) It relied on the thread's context class loader to determine where to
attempt the reverse lookup.
2) It is not possible to ever reload classes loaded by a classloader.
Consider the classloading hierarchy a <- b, where
the arrow implies that a is the parent of b. I incorrectly thought
that a's loadClass method would be called every time a class loaded
by a made a call to Class.forName(name: String). This turns out to
not be the case. As a result, the second time the dependency layer
was used, where now the hierarchy is a <- c, that same Class.forName
call could return a Class from b which causes a nasty crash.
It isn't possible to work around the limitation in 2 so the only option
that allows both caching and java reflection across layers to work is to
cache the dependency layer, but invalidate when cross layer reflection
occurs. This turns out to be straightforward to implement. The
performance looks very similar to the ScalaLibrary strategy when java
reflection is used, which makes sense because the scala library and
scala reflect layers are still reused when the dependency layer is
invalidated.
I also stopped passing around the resource map to all of the layers.
Resource loading is hierarchical and the resource layer comes above the
dependency layer in the stack so there was no need for the bottom layers
to also be RawResource loaders.
While testing some classloader changes, I realized that we didn't always
close the test classloaders because they didn't necessarily extend
URLClassLoader, but instead implemented AutoCloseable.
Bonus: don't set the context classloader. It turns out that the test
framework does that anyway inside of trl.run so it was pointless to do
in Defaults.scala.
The Reload exception that I added in the sbt package really wasn't
intended to be public. It's only meant to be used by
checkMetaBuildSources, which the users shouldn't override. I put it in
the top package though because I wanted it to be next to FullReload. I
also am not sure why the Reload object in Watch was private[sbt], but
while writing documentation, I realized that users couldn't access it.
While writing documentation for the watch subsystem, I realized that
it's awkward to configure watch to clear the screen before task
evaluation. To make this easier, I added a setting watchBeforeCommand
which is an arbitrary function that will run before the watch process
evaluates the command(s).
I also added helper functions for adding clear screen functionality.
I also realized that we weren't using the watchOnEnter or
watchOnExit callbacks anywhere. I had added these to support setting up
some state before watch starts and cleaning it up before it exits for
plugin authors. It makes sense to remove that functionality for 1.3.0
and only if a need presents itself re-add it in a later version of sbt.
I also made a few apis private[sbt] that I'm not sure about. Writing
documentation made me realize that some of these are redundant and/or
not ready for general consumption.
I had previously set some of the watch settings at the global level and
some at the project level. While writing documentation for the new watch
subsystem, I realized that the defaults should be set globally so that
they can be overridden at the ThisBuild level.
I also moved watchTriggers to sbt.nio.Keys. It was an oversight that it
wasn't moved there in a5cefd45be.
The classpath filter for test and run was added in #661 to ensure that
the classloaders were correctly isolated. That is no longer necessary
with the new layering strategies that are more precise about which jars
are exposed at each level. Using the filtered classloader was causing
the reflection used by spark to fail when using java 11.
We were incorrectly building the dependency layer in the run task using
the raw jars from dependencyClasspath rather than the actual classpath
jars (which may be different if bgCopyClasspath is true -- which it is
by default). This was preventing spark from working with AllLibraryJars
because it would load its classes and resources from the coursier cache
but the classpath filter would reject the resources because they came
from the coursier cache instead of the classpath.
The docs for ClassLoader,
https://docs.oracle.com/javase/8/docs/api/java/lang/ClassLoader.html
say that all non-hierarchical custom classloaders should be registered
as parallel capable. The docs also suggest that custom classloaders
should try to only override findClass so I reworked LayerdClassLoader to
only override findClass. I also added locking to the class loading to
make it safe for concurrent loading.
All of the custom classloaders besides LayeredClassLoader either
subclass URLClassLoader or LayeredClassLoader but don't override
loadClass. Because those two classloaders are parallel capable, the
subclasses should be as well. It isn't possible to make classloaders
that are implemented in scala parallel capable because scala 2 doesn't
support jvm static blocks (dotty does support this with an annotation).
To work around this, I re-worked some of the classloaders so that they
are either directly implemented in java or I subclassed a scala
implementation class in java.
Jave reflection did not work with layered classloaders if a dependency
attempted to load a class that was below the dependency layer in the
layered classloader hierarchy. The underlying problem was (in general) a
call to Class.forName somewhere. If the classloader parameter is not
specified, then Class.forName locates the ClassLoader for the caller
using reflection. It ultimately delegates to that ClassLoader's
loadClass method. With the previous LayeredClassLoader class, there was
no way for that classloader to access a URL that was below it in the
class loading hierarchy. I reworked LayeredClassLoader so that if it
fails to load the class, it will check the Thread's context classloader
and see if there are other LayeredClassLoader instances below it. If so,
it will then check if any of those classloaders would be able to load
the class by using findResource. If the descendant loader can load the
class, then we manually load it with findClass.
For best caching performance, we want to use the scala-reflect.jar that
is found in the scala instance. Also, in the runtime configuration,
caching didn't work correctly because we filtered the scala reflect
library from the dependency jars. We really only wanted to filter out
the library jars.
It also was problematic to use a LayeredClassLoader for the scala
reflect layer because in a subsequent commit I add the capability for a
layered classloader to load classes from its descendant loaders. This
caused problems when the scala-reflect layer was a LayeredClassLoader.
Instead, I add the ScalaReflectClassLoader class for better reporting.
Ethan Atkins
eugene yokota
Ethan Atkins
Akhtyam Sakaev
Dale Wijnand