Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and inter-process communication.
The library makes use of reference counting so that it can track when memory buffers are no longer used. This allows Arrow to update resource accounting, pool memory such and track overall memory usage as objects are created and released. Types expose two methods to deal with this pattern. The
Retain method will increase the reference count by 1 and
Release method will reduce the count by 1. Once the reference count of an object is zero, any associated object will be freed.
Release are safe to call from multiple goroutines.
If you are passed an object and wish to take ownership of it, you must call
Retain. You must later pair this with a call to
Release when you no longer need the object. “Taking ownership” typically means you wish to access the object outside the scope of the current function call.
You own any object you create via functions whose name begins with
Copy or when receiving an object over a channel. Therefore you must call
Release once you no longer need the object.
If you send an object over a channel, you must call
Retain before sending it as the receiver is assumed to own the object and will later call
Release when it no longer needs the object.
The arrow package makes extensive use of c2goasm to leverage LLVM's advanced optimizer and generate PLAN9 assembly functions from C/C++ code. The arrow package can be compiled without these optimizations using the
noasm build tag. Alternatively, by configuring an environment variable, it is possible to dynamically configure which architecture optimizations are used at runtime. See the
cpu package README for a description of this environment variable.
The following benchmarks demonstrate summing an array of 8192 values using various optimizations.
Disable no architecture optimizations (thus using AVX2):
$ INTEL_DISABLE_EXT=NONE go test -bench=8192 -run=. ./math goos: darwin goarch: amd64 pkg: github.com/apache/arrow/go/arrow/math BenchmarkFloat64Funcs_Sum_8192-8 2000000 687 ns/op 95375.41 MB/s BenchmarkInt64Funcs_Sum_8192-8 2000000 719 ns/op 91061.06 MB/s BenchmarkUint64Funcs_Sum_8192-8 2000000 691 ns/op 94797.29 MB/s PASS ok github.com/apache/arrow/go/arrow/math 6.444s
NONE is simply ignored, thus enabling optimizations for AVX2 and SSE4
Disable AVX2 architecture optimizations:
$ INTEL_DISABLE_EXT=AVX2 go test -bench=8192 -run=. ./math goos: darwin goarch: amd64 pkg: github.com/apache/arrow/go/arrow/math BenchmarkFloat64Funcs_Sum_8192-8 1000000 1912 ns/op 34263.63 MB/s BenchmarkInt64Funcs_Sum_8192-8 1000000 1392 ns/op 47065.57 MB/s BenchmarkUint64Funcs_Sum_8192-8 1000000 1405 ns/op 46636.41 MB/s PASS ok github.com/apache/arrow/go/arrow/math 4.786s
Disable ALL architecture optimizations, thus using pure Go implementation:
$ INTEL_DISABLE_EXT=ALL go test -bench=8192 -run=. ./math goos: darwin goarch: amd64 pkg: github.com/apache/arrow/go/arrow/math BenchmarkFloat64Funcs_Sum_8192-8 200000 10285 ns/op 6371.41 MB/s BenchmarkInt64Funcs_Sum_8192-8 500000 3892 ns/op 16837.37 MB/s BenchmarkUint64Funcs_Sum_8192-8 500000 3929 ns/op 16680.00 MB/s PASS ok github.com/apache/arrow/go/arrow/math 6.179s