- Do not use ghc 8.2 or earlier because in those versions it is not safe to pass heap allocated objects to unsafe FFI calls. We depend on this for array implementation.
- Do not use ghc 9.0.x and 9.2.1 becuse of performance issues. GHC 9.6.x may have a small memory leak issue in some concurrent stream cases, see below for more details. ghc 9.10 shows significant performance degradations, should not be used until it is fixed.
For best performance, use fusion-plugin
(see below) when compiling.
Building streamly itself may require upto 4GB memory. Depending on the size of the application you may require 1-16GB memory to build. For most applications up to 8GB of memory should be sufficient.
To reduce the memory footprint you may want to break big modules
into smaller ones and reduce unnecessary INLINE pragmas on large
functions. You can also use the -Rghc-timing
GHC option to report the
memory usage during compilation.
See the "Build times and space considerations" section below for more details.
Streamly usually performs very well without any compiler plugins. However, we have fixed some deficiencies in GHC's optimizer using a compiler plugin. We hope to fold these optimizations into GHC in the future; until then we recommend that you use this plugin for applications that are performance sensitive.
Add fusion-plugin
to the build-depends
section of your program in
the cabal file and use the following GHC options:
-O2
-fdicts-strict
-fmax-worker-args=16
-fspec-constr-recursive=16
-fplugin Fusion.Plugin
See Explanation section for details about these flags.
Important Notes:
- fusion-plugin can
improve performance significantly by better stream fusion, in many
cases. If the performance regresses due to fusion-plugin please open
an issue. You may remove the
-fplugin
option for regular builds but it is recommended for deployment builds and performance benchmarking. - In certain cases it is possible that GHC takes too long to compile
with
-fspec-constr-recursive=16
, if that happens please reduce the value or remove that option. This may happen especially when using Parsers.
-
-fdicts-strict
is needed to avoid a GHC issue leading to memory leak in some cases. In GHC 9.6.x this issue cannot be avoided even with-fdicts-strict
option. -
-fspec-constr-recursive
is needed for better stream fusion, it allows theSpecConstr
optimization to occur in more cases. Large values used with this flag may lead to huge compilation times and code bloat, if that happens please avoid it or use a lower value (e.g. 3 or 4). -
-fmax-worker-args
is needed for better stream fusion, it allows theSpecConstr
optimization to occur in some important cases. -
-fplugin=Fusion.Plugin
enables predictable stream fusion optimization in certain cases by helping the compiler inline internal bindings, therefore, enabling case-of-case optimization. In some cases, it can make a difference of 5-10x better performance.
Concurrency without a threaded runtime may be a bit more efficient. Do not use threaded runtime unless you really need multi-core parallelism. To get multi-core parallelism use the following GHC options:
-threaded -with-rtsopts "-N"
Streamly supports Linux, macOS and Windows operating systems. Some modules and functionality may depend on specific OS kernel features. Features/modules may get disabled if the kernel/OS does not support it.
File system events notification module is supported only for kernel versions 2.6.36 onwards.
File system events notification module supports macOS 10.7+ . You must
have the Cocoa
framework installed which is supplied by the macOS
SDK. If Cocoa
is not installed, you may see an error like this:
error: ld: framework not found Cocoa
Usually, if you have a working GHC you would already have the SDK
installed. See the documentation of Xcode
or xcode-select
tool for
more details.
Please note that cabal2nix
may not always be able to generate a complete nix
expression on macOS
. See this
issue.
You may need to add nixpkgs.darwin.apple_sdk.frameworks.Cocoa
to librarySystemDepends
. For example, to create a streamly-0.9.0
derivation from Hackage:
streamly =
nixpkgs.haskell.lib.overrideCabal
(
super.callHackageDirect
{ pkg = "streamly";
ver = "0.9.0";
sha256 = "sha256-eOxVb8qQjZDo1+S7CStqYSExOg2QHWkMY+zlOYqwZak=";
} {}
)
(old:
{ librarySystemDepends =
if nixpkgs.lib.strings.hasInfix "darwin" builtins.currentSystem
then [nixpkgs.darwin.apple_sdk.frameworks.Cocoa]
else [];
});