Add GoTO Aug, 19 presentation
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High Performance Code in GO
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GoTO, August 2019
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Tags: GraphQL, API, GoLang, Postgres
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Vikram Rangnekar
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https://twitter.com/dosco
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* About me
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Co-founder of *movremote.com* a platform to connect developers with Silicon Valley
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companies hiring remote.
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Previously worked on Platform, Frontend and Ads @ Linkedin building the distributed targeting and serving infrastructure behind Linkedin Ads.
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Also currently building Super Graph an open source instant GraphQL engine for Postgres and Rails. Written in GO
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MOV Remote
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.link https://movremote.com
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Super Graph
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.link https://supergraph.dev
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* Why does it matter?
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- Computer are not getting dramatically faster
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- Our software is getting slower
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- Demands on our software are increasing
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- Scale of internet poducts is accelerating
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- Faster = More money (For you)
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* What does high performance mean?
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- Code that runs fast (relative)
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- Minimizes I/O latency
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- Efficient in terms of GC
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"Premature optimization is the root of all evil (or at least most of it) in programming."
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-- Donald Knuth
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"Measure twice cut once"
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-- Someone
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* Code that runs fast
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1. Algorithm choices
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2. Rewrite in GO
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3. Reuse Memory
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4. Parallelize I/O
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4. Keep it simple
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* Benchmarking
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* $ benchcmp bench.1 bench.2
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.image https://pbs.twimg.com/media/D8_uRFWU0AUdWkM?format=jpg&name=large _ 970
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* Howto benchmark
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Single threaded
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func BenchmarkYourFunc(b *testing.B) {
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for n := 0; n < b.N; n++ {
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_, err := yourFunction(data)
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...
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}
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}
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Parallel
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func BenchmarkYourFuncP(b *testing.B) {
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b.RunParallel(func(pb *testing.PB) {
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for pb.Next() {
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_, err := yourFunction(data)
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...
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}
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})
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}
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* Profileing Your Code
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go test -bench=. -benchmem -memprofile mem.out -run=XXX
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go tool pprof -cum mem.out
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Get a nice command line
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pkg: github.com/dosco/super-graph/psql
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BenchmarkCompile-8 100000 15138 ns/op 3553 B/op 35 allocs/op
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BenchmarkCompileParallel-8 300000 4760 ns/op 3583 B/op 35 allocs/op
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PASS
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ok github.com/dosco/super-graph/psql 3.174s
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Type: alloc_space
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Time: Aug 21, 2019 at 11:56am (EDT)
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Entering interactive mode (type "help" for commands, "o" for options)
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(pprof)
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Powerful commands
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top, web, png, pdf, ... and more
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* Top - Shows you the top allocating functions
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(pprof) top
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Showing nodes accounting for 1.07GB, 77.92% of 1.37GB total
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Showing top 10 nodes out of 34
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flat flat% sum% cum cum%
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0.01GB 0.89% 0.89% 1.11GB 80.77% github.com/[...]/qcode.(*Compiler).Compile
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0 0% 0.89% 1.02GB 74.22% github.com/dosco/super-graph/
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0.52GB 37.74% 38.63% 0.94GB 68.50% github.com/[...]/qcode.(*Compiler).compileQuery
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0.54GB 39.29% 77.92% 0.54GB 39.29% github.com/dosco/super-graph/util.NewStack
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Digging deeper
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(pprof) top .compileQuery
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focus=.compileQuery
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Showing nodes accounting for 1006.59MB, 69.36% of 1451.18MB total
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Showing top 10 nodes out of 26
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flat flat% sum% cum cum%
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0 0% 0% 1006.05MB 69.33% github.com/[...]/qcode.(*Compiler).Compile
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579.44MB 39.93% 39.93% 1006.05MB 69.33% github.com/[...]/qcode.(*Compiler).compileQuery
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* Cool Graphs
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.image https://matoski.com/article/golang-profiling-flamegraphs/cpu-profile-graph-001.png 500 _
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* Reducing Allocations - Part 1
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Pre-allocate
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m := make(map[string]someStruct{}, len(whatever))
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mp := &m[i]
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Work with bytes if possible
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inlineToLower(&value) instead of bytes.ToLower(value)
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Reuse Memory
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var nodePool = sync.Pool{
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New: func() interface{} { return new(Node) },
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}
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Use Builders
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var b strings.Builder
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b.WriteString("hello ");
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b.WriteString("world")
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* Reducing Allocations - Part 2
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Use streaming (io.Reader and io.Writer)
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r := strings.NewReader("some io.Reader stream to be read\n")
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_, err := io.Copy(os.Stdout, r);
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Allocate Together
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type Node struct {
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Children []Child
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childA [5]Child
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}
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n := Node{}
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n.Children = n.childA[:0]
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Use 'Append' functions
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strconv.AppendInt(b10, 42, 10) instead of strconv.FormatInt(42, 10)
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* Reducing Allocations - Part 3
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Use 'unsafe' if you know what you're doing
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func bytesToString(b []byte) string {
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return *(*string)(unsafe.Pointer(&b))
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}
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* Squeezing out more performance
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Avoid reflection use generators
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Inlined Assembly (Crazy)
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// add.go
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package main
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import "fmt"
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func add(x, y int64) int64
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func main() {
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fmt.Println(add(2, 3))
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}
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// add_amd64.s
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TEXT ·add(SB),NOSPLIT,$0
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MOVQ x+0(FP), BX
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MOVQ y+8(FP), BP
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ADDQ BP, BX
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MOVQ BX, ret+16(FP)
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RET
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@ -3,7 +3,7 @@ Instant GraphQL API for Rails. Zero Code.
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Tags: GraphQL, API, GoLang, Postgres
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Tags: GraphQL, API, GoLang, Postgres
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Vikram Rangnekar
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Vikram Rangnekar
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https://twitter.com/@dosco
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https://twitter.com/dosco
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* Motivation
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* Motivation
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@ -3,7 +3,7 @@ GraphQL is the future of APIs
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Tags: GraphQL, API, GoLang, Postgres
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Tags: GraphQL, API, GoLang, Postgres
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Vikram Rangnekar
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Vikram Rangnekar
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https://twitter.com/@dosco
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https://twitter.com/dosco
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* Trends, Why APIs are Important
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* Trends, Why APIs are Important
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